compendium of human settlements statistics...

.. ""..

Compendium of

HumanSettlementsStatistics2001

j' • ·:....·h~.,.>....~;

,. r II ,c .';, ,

.' . '

, 't' -

Economic &

III

on-.

......Dl_.....

. ~..'''- ."

{t.~~ ~~fi?~

United Notions

D United Nations Department of Economic and Social Affairsm Statistics Division

W United Nations Centre for Human Settlements~ (Habitat)

Compendium of

HumanSettlementsStatistics2001Sixth Issue

United NationsNew York. 2001

NOTE

Symbols of United Nations documents are composed of capital letters combinedwith figures.

The designations used in this publication have been provided by the competentauthorities. Those designations and the presentation of material in this publication donot imply the expression of any opinion whatsoever on the part of the Secretariat ofthe United Nations concerning the legal status of any country, territory, city or area orof its authorities, or concerning the delimitation of its frontiers or boundaries.

Where the designation "country or area" appears in the headings of tables, it covers countries, territories, cities or areas.

ST/ESAISTAT/SER.N/6

UNITED NATIONS PUBLICATIONSales No. E.01.XVI1.5ISBN 92-1-161434-1

www·un.org

Copyright © United Nations, 2001All rights reserved

Manufactured in the United States of America

CONTENTS

Page

EXPLANATION OF SyMBOLS v

INTRODUCTION .

TECHN~CAL NOTES 2

A. General Notes 2

B. Note on graphical presentation 12

List of tables

1. Number of human settlements by size: country or area, urban/rural, latestavailable year 13

2. Households by type of living quarters: country or area, urban/rural, cities,latest available year 21

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year 48

4. Households in housing units by water supply system: country or area, urban/rural, cities,latest available year 75

5. Households in housing units by type of toilet: country or area, urban/rural,cities, latest available year 88

6. Households in housing units by type of solid waste disposal: country or area,urban/rural, cities, latest available year 100

7. Households in housing units by type of lighting: country or area, urban/rural,cities, latest available year 104

8. Population in cities by sex and age: latest available year. . . . . . . . . . . . . . . . . . . . . . . . . . . .. 114

9. Percentage of population residing in urban areas, 1990-2030: country or area 207

10. Urban population, number of urban agglomerations and percentage of urban populationby size of urban agglomeration: major area and region, 1980-2015 with five-yearinterval. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 215

11. Percentage of total population residing in urban agglomerations with 750,000 or moreinhabitants: countries or areas, 1980-2015 with five year interval 227

iii

List of tables - continued

12. The 30 largest urban agglomerations ranked by population size (in millions):1980-2015 with five year interval 239

13. Estimated number of households and annual household growth rate, 1985-2030 withfifteen-year intervals; changes in number of households in five-year increments,2000-2020: countries or areas 242

iv

EXPLANATION OF SYMBOLS

In presenting data, the following symbols have been used.

Category not applicable .

Data not available .

Magnitude zero . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. -

Magnitude not zero, but less than half of unit used 0 and/or 0.0

Provisional *

Inquiries and comments concerning the scope, content and organization of the Compendium of HumanSettlements Statistics 2001 are welcome. They should be addressed to the Director, Statistics Division,United Nations, New York, 10017 or to the Chief, Urban Observatory, United Nations Centre for HumanSettlements (Habitat), P.O. Box 30030, Nairobi, Kenya.

v

INTRODUCTION

This sixth issue of the Compendium of Human Settlements Statistics has been prepared as a jointpublication by the Statistics Division, Department of Economic and Social Affairs (DESA) of the UnitedNations Secretariat and the United Nations Centre for Human Settlements (Habitat), pursuant to theconclusion of the twenty-eighth session of the Statistical Commission.1L

The objective of the Compendium is to make readily available in one publication a comprehensive set ofdata on living conditions in human settlements and estimates and projections relating to urbanization andhouseholds. In addition, the Compendium serves as a statistical foundation for the Global Report onHuman Settlements and its Statistical Annex which the General Assembly in its resolution 34/114 of 14December 1979, requested the United Nations Centre for Human Settlements (Habitat) to prepare on aregular basis. This resolution specified that The Global Report should contain a complete review ofhuman settlements conditions, including an analysis of their development and continuing evolution.

This sixth issue of the Compendium is timed to coincide with the Special Session of the United NationsGeneral Assembly for an Overall Review and Appraisal of the Implementation of the Habitat Agenda(Istanbul +5) which is being held in New York from 6-8 June 2001.

The selection and organization of the contents of the Compendium were undertaken by the UnitedNations Statistics Division, in close cooperation with the Tools and Statistics Programme of UNCHS(Habitat). The Compendium consists of thirteen tables. Eight of the tables are based on a specialquestionnaire prepared by the United Nations Statistics Division and Habitat and present data onpopulation and housing in human settlements. In addition, the pUblication presents four tables based onestimates and projections of urban population and large urban agglomerations prepared by the PopulationDivision, Department for Economic and Social Affairs, of the United Nations Secretariat.~The final tablein the publication provides projections on the number of households and annual household growth rates,prepared by Habitat.

1L Official Records of the Economic and Social Council, 1995, Supplement No.8 (E/1995/28) para. 52

gL World Urbanization Prospects - The1999 Revision, Data Tables and Highlights, United Nations PopulationDivision, DESA Working Papers ESAlPIWP.161.

TECHNICAL NOTES

A. GENERAL NOTES

1. Sources and time periods of the statistics

The Compendium brings together human settlements statistics for 243 countries or areas and 315 cities.The sources of data presented in this publication are as follows:

- Human Settlements Statistics Questionnaire 1999 was prepared by the United Nations StatisticsDivision in close cooperation with the United Nations Centre·for Human Settlements (Habitat) and wassent to over 220 national statistical offices in 1999. The questionnaire requested human settlementsstatistics at national, urban/rural and city levels and was used in the preparation of tables 1 through 8 ofthis Compendium. National figures in these tables are presented as received by the United Nations andwhen needed, additional information is provided in notes following each table.

- The United Nations Demographic Yearbook and Demographic and accompanying databaseswere also used extensively to supplement population data not covered by the Human SettlementsStatistics Questionnaire 1999. The United Nations Demographic Yearbook is a comprehensive collectionof international demographic statistics, prepared by the United Nations Statistics Division, DESA throughthe cooperation of national statistical services.

- World Urbanization Prospects - The 1999 Revision, Data Tables and Highlights, prepared by theUnited Nations Population Division, DESA presents estimates and projections of urban and ruralpopulations and of urban agglomerations. The publication also contains revised estimates and projectionsfor all urban agglomerations that had at least 750,000 inhabitants in 1999. This publication was used asthe source for tables 9, 10, 11 and 12 of the present Compendium.

• Habitat Household Projections Project by the Tools and Statistics Programme of UNCHS(Habitat), provided projections of the number of households. These data are presented in table 13.

The reference year is, as a rule, presented to indicate the period covered by data displayed. When thedata are from a source other than a census or a survey, i.e. administrative records, several consecutiveyears may be shown to permit comparison over time. In general, the reference year of data has beenentered after the name of the country. In cases where the reference years for data at country level andcity levels differ, the appropriate year has been entered after the name of the city.

The main benchmark data sources for most population and housing statistics are national population andhousing censuses. The internationally recommended concepts and definitions for carrying out populationand housing censuses are published in the Principles and Recommendations for Population and HousingcensuseS!, the Supplementary Principles and Recommendations for Population and Housing Censuse#,and Principles and Recommendations for Population and Housing Censuses, Revision 1§!..

2. Geographical classification and nomenclature

In most cases the statistics give national or area totals with an urban/rural breakdown. In addition, for eachcountry or area, data for the capital city and three (or fewer) largest cities are also shown if provided. Thenomenclature and arrangement of countries or areas and cities are explained in subsection (a) below. The

~ United Nations publication, Sales No. E.80.XVII.8.

~ United Nations publication, Sales No. E.90.XVII.9.

§!. United Nations publication, Sales No. E.98.XVII.8

2

Technical notes - continued

selection and definition of cities or urban agglomeration are explained in subsection (b) below. Thenational definitions of urban/rural are given in subsection (c) below. In addition, national definitions ofhouseholds are provided in subsection (d).

(a) Nomenclature and arrangement of countries or areas and cities

Given space limitations, the country or area names listed in the tables and graphs are the commonlyemployed short titles in use in the United Nations as at 31 March 199~; the full titles are used only whena short form is not available.

In so far as possible, all data, including time series data, relate to the territory within 1998 boundaries.Exceptions to these are footnoted in individual tables.

Data relating to the People's Republic of China generally include those for Taiwan Province in the field ofstatistics relating to population, surface area, natural resources, etc. In other fields of statistics, they do notinclude Taiwan Province unless otherwise stated.

Data presented for the Holy See refer to Vatican City.

Countries or areas are listed in English alphabetical order within the following continents: Africa, NorthAmerica, South America, Asia, Europe and Oceania.

The designations employed and the presentation of the material in this publication were adopted solely forthe purpose of providing a convenient geographical basis for the accompanying statistical series. Thesame qualification applies to all notes and explanations concerning the geographical units for which dataare presented.

Name of cities are presented in the original language of the country or area in which the cities are located.In cases where the original names are not in Roman alphabet, they have been Romanized. Cities arelisted in English alphabetical order. The names of capital cities are printed in capital letters. Thedesignation of any specific city as a capital city is done solely on the basis of the designation as reportedby country or area.

Totals and sub-totals shown in the tables are not always equal to the sums of their component parts dueto rounding.

Explanatory notes concerning selected figures are indicated by footnote indicators shown against thename of the relevant countries or areas and are indicated by the numbers. The corresponding texts willbe found at the end of each table.

(b) Selection and definition of cities

Since the main purpose of this publication is to provide basic statistics on human settlements, data at thelevel of cities or urban agglomerations were requested from countries or areas for most tables of theCompendium. The criteria used to determine the number of cities to be covered were developed takinginto account data availability within national statistical services and size of countries or areas and cities. Inthe majority of countries or areas, data for the capital city and three other largest cities were requested.

§!"Names of Countries and Adjectives of Nationality" (United Nations document ST/CS/SER.F/317 and Corr.1-2).

3


The number of cities covered decreased with the population of the specific country or area and with thenon-existence of cities with 100,000 or more inhabitants. Therefore, for some countries and areas data forcapital city and two other were collected, and in some cases only data for the capital city.

The city, for the purpose of data collection and presentation in this publication, is defined as administrativecity. An administrative city is defined according to legaVpolitical boundaries established in each country foreach city. If data for urban agglomeration were received, they were displayed and footnoted. An urbanagglomeration comprises the city or town proper and also suburban fringe or thickly settled territory lyingoutside, but adjacent to, its boundaries. Where data refer to some other administrative unit (e.g. provinces,metropolitan area, etc.) an explanatory footnote was provided.

(c) National definitions of urban-rural

The traditional distinction between urban and rural areas within a country is based on the assumption thaturban areas provide a different way of life and usually a higher level of living than is found in rural areas.International comparability of urban-rural distributions is seriously impaired by the wide variation amongnational definitions of the concept of 'urban', as can be seen from the definitions shown below.

A detailed overview of national definitions is available in the United Nations Demographic Yearbook1991J!L. For the purposes of this Compendium, the Human Settlements Statistics Questionnaire 1999requested national definitions of urban and rural and they are presented below:

BahamasFor the data provided for this Compendium the island of NassaulNew province and Grand Bahamas aretreated as urban, while the rest of the Bahamas islands are treated as Rural.

BelarusUrban localities are human settlements that in accordance with legislation have the status of towns.

CanadaUrban areas include all greater metropolitan areas (even though they contain some rural areas) and mostsmaller metropolitan areas. Urban areas have a minimum population concentration of 1,000 people and apopulation density of at least 400 per square kilometer based on the previous census population counts.

CyprusUrban regions include the municipality area, the suburban area and the greater urban area. Theboundaries of the urban regions are those defined by the Local Towns Plans of the Department of TownPlanning and Housing.

Dominican RepublicUrban zones refer to areas in municipalities.

EstoniaUrban areas include towns and townships, while rural areas include villages.

FinlandUrban municipalities are those municipalities in which at least 90 per cent of the population live in urban

11. United Nations publication No. ElF.OO.XIII.1.

4


settlements or in which the population of the largest urban settlement is at least 15,000 inhabitants.

Semi-urban municipalities are those municipalities in which at least 60 per cent but less than 90 per centof the population live in urban settlements and in which the population of the largest urban settlement is atleast 4,000 but less than 15,000 inhabitants.

Rural Municipalities are those municipalities in which less than 60 per cent of the population live in urbansettlements and in which the population of the largest urban settlement is less than 15,000 inhabitants aswell as those municipalities in which at least 60 per cent but less than 90 per cent of the population lives inurban settlements and in which the population of the largest urban settlement is less than 4,000inhabitants.

GambiaThe Central Statistics Department in collaboration with the Department for Physical Planning and otherministries and departments concerned identified settlements as urban if they satisfied most of the followingcriteria:

- Commercial importance, Institutional importance- Majority of the population should be non-agricultural- Population should be 5000 and above- Density should be high- Some degree of infrastructure facilities should be available

IrelandAggregate Town (Urban)The population in the aggregate town area is defined as those persons living in population clusters of1,500 or more inhabitants. The population residing in all areas outside clusters of 1,500 or moreinhabitants is classified as belonging to the Aggregate Rural area. The Aggregate Rural area is astatistical concept.

Isle of ManUrban/RuralFor administrative reasons, the Isle of Man is divided into 24 regions. Historically these are classified asTowns, Villages and Parishes. For the purpose of this Compendium, towns and villages have beenclassified as urban and parishes as rural.

JapanJapan is administratively divided into forty-seven prefectures of which 43 carry the suffix ken and theremaining four are known as to, do or fu. Each prefecture is further divided into shi (cities) and gun orshicho (rural counties).Gun and shicho are subdivided into machior cho (towns) and mura or son (villages). The 13 major cities,Le. Tokyo, Yokohama, Osaka, Nagoya, Sapporo, Kyoto, Kobe, Fukuoka, Kawasaki, Kitakyushu,Hiroshima, Sendai and Chiba are subdivided into ku (wards).For urban and rural areas, the data for Japan include all shi and all gun (that is, machi and mura).However, after the Town and Village Merger Acceleration Law was established in 1953, there wasconsiderable enlargement of shi areas through absorption of neighboring machi and mura as well as anincrease in the number of shi due to the new incorporation of former machi or mura into shi.As a consequence, many shi came to encompass sparsely inhabited agricultural areas under theirjurisdiction and no longer represent pure urban areas.Under these circumstances, the concept of Densely Inhabited District was developed by the StatisticsBureau and has been applied since the 1960 Population Census.

6


A Densely Inhabited District, which is often referred to as DID is defined as an area within a shi, ku, machior mura that is composed of a group of contiguous Basic Unit Blocks each of which has a populationdensity of about 4,000 inhabitants or more per square kilometer and whose total population exceeds 5,000as of 1 October 1995.

KazakhstanUrban settlements are all cities and towns of republican, regional or district (rayon) subordination and alsoindustrial communities with a population of more than 3,000 persons and settlements located in the areasof medical importance with a popUlation of more than 2,000. All other settlements are rural irrespective oftheir administrative subordination.

Korea, Democratic Republic ofIn Korea, areas are largely classified into 2 categories, SHI and GUN according to the level ofadministration. SHI, which is equivalent to a City, is considered as an urban area. GUN which iscomposed of UP (equivalent to town) and MYON (equivalent to the countryside) is considered a ruralarea.

LatviaUrban population refers to those persons who live in cities and towns, that is populated are~s withdeveloped industry, social infrastructure and communal economy, with the resident population not lessthan 2000. The cabinet of ministers of Latvia approved the list of cities and towns. In a number ofhistorically developed cities the population may be less than 2000. The rest are considered rural areas.

LibyaUrban refers to every district of 5000 or more inhabitants.

MalaysiaUrban Area includes gazetted areas with their adjoining built-up areas which have a combined populationof 10,000 or more at the time of the 1991 census; built-up areas are areas contiguous to gazetted areasand with at least 60 per cent of that population (aged 10 years or more) engaged in non-agriculturalactivities and at least 30 per cent of their housing units with modern facilities.

MaltaBecause of the small area of the Maltese islands and the relative homogeneity between what are locallytermed cities, towns and villages, no distinction is made in Maltese statistics between urban and ruralsettlements.

MexicoUrban refers to localities with the popUlation over 2,500.

NetherlandsUrban and rural areas are derived from the concept 'urbanization category I which is determined on thebasis of the numerical values for address density of the individual municipalities. Five groups or classesare distinguished. Whereby the class boundaries are selected in such a way that all classes are made upof roughly the same number of inhabitants.The municipalities are distinguished according to the following five categories:- Very strongly urbanized, with an address density of 2,500 addresses or more per km2;- Strongly urbanized, with an address density of 1,500 to 2,500 addresses per km2;- Moderately urbanized, with an address density of 1,000 to 1,500 addresses per km2;- Weakly urbanized, with an address density of 500 to 1,000 addresses per km2;

6


- Not urbanized, with an address density of less than 500 addresses per km2.

Urban areas are defined as very strongly urbanized, strongly urbanized or moderately urbanized areas(thus an aggregate of the first three values).Rural areas are defined as weakly urbanized areas (thus an aggregate of the last two values of thevariable).

NigerUrban areas are considered those within towns and cities, i.e. with increased population density andavailability of infrastructure and services.

NorwayIn order for an agglomeration of houses to be considered as an urban settlement, it should have at least200 residents and the distance between the houses should normally not exceed 50 meters. Deviations areallowed for areas that cannot/are not to be occupied, for example parks, sports facilities, industrial areasor natural barriers such as rivers or arable areas. Also included are agglomerations that naturally belong tothe urban settlement with up to a distance of 400 meters from the center of the urban settlement.

PolandGuines is the smallest unit of administrative division of the country. In 1998 there were 2,489 guines that is308 - urban guines, 567 - urban-rural guines and1604 - rural guines.

SeychellesThe only city or urban area in Seychelles is the capital city Victoria, which is an administrative area. Datapresented here refer to Greater Victoria which consists of Victoria city, all the central districts and Victoriasuburbs. All other area of the Seychelles, are for the purpose of this publication defined as rural.

SlovakiaUrban area refers to 138 cities with population over 5000.

SpainUrban refers to human settlements with more than 2,001 inhabitants.

SwedenLocality is a group of buildings normally not more than 200 meters apart from each other and having atleast 200 inhabitants. In Sweden localities are defined as urban and all areas outside the localities asrural.

ThailandUrban refers to Municipal areas.

TurkeyUrban refers to settlements with a population of 20001 and over.

United KingdomUrban refers to a built up area with a population of more than approximately one thousand (1,000) basedon population as at 1991.

United States of AmericaCensus Bureau-defined Urbanized Areas (UAs) are defined to represent human settlements with over

7


50,000 people. A UA is defined by the Census Bureau as an "area consisting of a central place(s) andadjacent urban fringe that together have a minimum residential population of at least 50,000 people andgenerally an overall population density of at least 1,000 people per square mile of land area".

(d) National definitions of household

In addition to the definitions of urban areas, the Human Settlements Statistics Questionnaire collectednational definitions of a household. These are presented below:

AustraliaA household is defined as a group of two or more related or unrelated people who usually reside in thesame dwelling, who regard themselves as a household, and who make common provision for food orother essentials for living; or a person living in a dwelling who makes provision for his/her food or otheressentials for living, without combining with any other person. Under this definition, in a group housewhere occupants share the dwelling, each occupant who usually supplies his/her own food should becounted as a separate household.

BahamasA Household is synonymous with the dwelling unit in that it is defined !'is a person or group of personsoccupying a dwelling unit.

CanadaHousehold is a person or group of persons occupying one dwelling unit. The number of households equalsthe number of occupied dwellings.

CyprusHousehold is either:(a) A one person household consisting of one person who lives alone in a separate housing unit whooccupies as a lodger, a separate room(s) of housing unit but does not join with any other occupants of thehousing unit to form part of a multi-person household.(b) A multi-person household which consists of a group of two or more persons who combine to occupythe whole or part of a housing unit and to provide themselves with food and possibly other essentials forliving. The group may be composed of related / unrelated persons or of a combination of both includingboarders and excluding lodgers.

Dominican RepublicA household is constituted by persons who mayor may not be related and who live in the same house andhave a common budget for meals. Households could be classified as follows:

- Single households - only the single person/head;- Nuclear household - head of the family, the spouse with or without a single child;- Extended Household - nuclear household which includes the parents or in-laws of the head of

household or a secondary nuclear household family, that is a married child, son or daughter-in-law with orwithout children or grandchildren, with or without other relatives or a nuclear household with other relativesonly or the head with a group of related persons not included in the categories mentioned before;

- Compound household - Constituted by a nuclear household with no other families;- Institutional household - Made of people living in a collective living quarters.

EstoniaHousehold is a group of people living at the same address and sharing joint monetary resources andwhose members consider themselves to be members of one household.

8


GambiaA household consists of a person or group of people who live together in the same house or compoundand share the same housekeeping arrangement. Members of the same household are not necessarilyrelated by blood or marriage.

China - Hong Kong SARA household consists of a group of persons who live together and make common provision for essentialsfor living. These persons need not be related. If a person makes provision for essentials for living withoutsharing with other persons, he or she is also regarded as an individual household.

Households can be classified into two types:1) Domestic Household: A domestic household usually consists of related family members. Howeverunrelated persons such as friends or domestic servants living in the household may be included asmembers as well. The expenditure of the household is usually borne by one or more household members.Single persons who do not share provisions for essentials for living with other persons are also consideredas domestic households. A group of related or unrelated persons who live in the same quarters and sharethe household expenditure on food and accommodation should also be treated as a domestic household.

2) Collective Household: A collective household usually consists of unrelated persons. The expenditureon food and accommodation of the households is usually borne by:

- Government / public charitable bodies, e.g. home for the aged, boys home, girls home andhalfway house.

- Private / other organizations where residents there have to pay for their expenditure e.g. hospitaland boarding school dormitory.

- Employers e.g. quarters for restaurant workers (excluding families living in married quarters).

IrelandPrivate Household

- A Private Household comprises either one person living alone or a group of people (not necessarilyrelated) living at the same address with common housekeeping arrangements- that is, sharing at least onemeal a day or sharing a living room or sitting room. A permanent private household is a private householdoccupying a permanent dwelling such as a dwelling house, flat or bed-sitter. A temporary privatehousehold is a private household occupying a caravan, mobile home or other temporary dwelling andincludes travelers and homeless persons living rough on census night.

Non-Private Household- A Non-Private Household is a group of persons enumerated in a boarding house, guest house,

barrack, hospital, nursing home, boarding school, religious institution, welfare institution, prison or ship etc.However, proprietors and managers of hotels, principals of boarding schools, persons in charge variousother types of institutions and members of staff who, with their families, occupy separate livingaccommodation on the premises are classified as private households.

Isle of ManPrivate HouseholdA private household comprises either one person living alone or a group of persons (who mayor may notbe related) living at the same address with common housekeeping expenditures.

JamaicaA household may consist of one person who lives alone or several that jointly occupy the whole or part ofa dwelling unit, have common arrangements for housekeeping; and generally share at least one meal.The

9


household may be composed of related persons only, unrelated persons or a combination of both.

JapanHouseholds are classified into "private households" and "institutional households". They are defined asfollows:Private households consist of the following three groups:

- A group of persons sharing living quarters and living expenses or a person who lives byhimself/herself occupying a dwelling house. The live-in single employees who live with the household oftheir employer are included in the household of the employer regardless of the number of the live-inemployees.

- A person residing together with the household as defined above but keeping a separate budget, or aperson residing in a boardinghouse.

- Each person who lives in a dormitory for unmarried employees of the company, corporation, store,government, etc.Institutional households include households below:

- Students in school dormitories;- Inpatients of hospitals who had been hospitalized in a hospital for three months or more at the census

date;- Inmates of social institutions such as an homes for elderly;- Persons in camps of self-defense Forces or crew of a ship of self-defense forces;- Inmates of reformatory institutions residing in prisons or detentions house whose penalties had been

fixed, or persons in a reformatory or a women's guidance home;- Other person who had no usual living places or crews who had no usual living places on land.

Private households are, furthermore, classified according to the relationship to the household head intothree broad categories: (a) relatives' households, Le. multi-person households consisting of the head ofhousehold and his/her related members; (b) non-relatives' households, Le. multi-person householdswithout household members related to the head, and (c) one-person households.

KazakhstanHousehold is a small group of persons living together and combining (completely or partly) their incomeand property, and also consuming jointly certain types of goods and services, which are representedmainly by dwellings and food products.

Korea, Democratic Republic ofA household consists of a person who provides for his own food and essentials necessary for living or agroup of two or more persons who provide for their own food and essentials necessary for living.

Libyan Arab JamahiriyaHousehold is one or more persons living in one house and accommodating themselves, regardless ofbeing of their relationship.

MalaysiaThe concept of a household was based on arrangements made by persons, individually or in groups, forfood and other essentials for living within the same living quarters. A household may be one of thefollowing:

- A single person household, that is, one member who makes provision for his own food and otheressentials for living without combining with any other person(s) or;

- A multi-person household, that is, a group consisting of two or more persons who live together andmake provision for their food and other essentials for living. A multi-person household may consist of

10


related and/or unrelated members.

MaltaThe Census of Population and Housing taken on 26 November 1995 distinguished between private andinstitutional households. The figures given here are for private one-person households or multi-personhouseholds.

NetherlandsThe concept of a household was based on arrangements made by persons, individually or in groups, forfood and other essentials for living within the same living quarters. A household may be one of thefollowing:

- A single person household, that is, one member who makes provision for his or her own food andother essentials for living without combining with any other person(s) or;

- A multi-person household, that is, a group consisting of two or more persons who live together andmake provision for their food and other essentials for living. A multi-person household may consist ofrelated and/or unrelated members.

NigerThe household is defined as all the persons living in same house Idwelling and sharing meals.

PolandA household is a group of persons living in a common housing accommodation and having a joint budget.Single persons living separately create one-person households.

Puerto RicoA household includes all persons that occupy one unit of housing i.e. house, apartment, mobile house, aset of rooms or a single room which is occupied or ready to be occupied. A separate shelter is one whereoccupants live and eat separately from the main building that has a direct access from corridors. Theoccupants could be one family or a single person living alone or two or more persons living together or anygroup of people that have a parental relationship or not but share a common expenditure of the house.

Saint LuciaA private household consists of one or more persons living together (i.e. sleeping most nights of the week)and sharing at least one daily meal. It is important to note that a member of a household need not be arelative of the main family. For example, a boarder or domestic servant who sleeps in most of the nights ofthe week is a member of the household. It is possible for a household to consist of just one person, or ofmore than one family, as long as they share living arrangements. A group of unrelated persons livingtogether can also comprise a household.

SeychellesA household is a group of persons who usually sleep in the same house and who eat together (or from thesame food supply). A lodger or a maid who eats with the family or is fed by the family forms part of theirhousehold. If however they are responsible for buying and preparing their own food they become separatehousehold even if they stay in the same house. This also applies to other members of the family whoprepare and eat separately from the other members, even if they sleep in the same house.

SingaporeThe definition of a household is the same as that of a dwelling: it refers to a private household with at leastone core member who is a Singapore citizen or permanent resident.

11


SlovakiaHousehold is the smallest social collectivity of persons living in the same dwelling designed within thescope of housekeeping unit according to family or other relationship. It is based on family concept.

TongaIn the Tonga Population Census 1996, a household was defined as "those persons who usually eattogether and share the work of preparing the food and/or the cost of work of providing it".

B. NOTE ON GRAPHICAL PRESENTATION

The present issue of the Compendium includes graphical presentation of statistics at the beginning oftables 1 to 11. The criteria for selecting the country, area or city to be represented in a graph are: (a) thelargest and the smallest number of units, for example population, human settlements and households;and (b) the most comprehensive information available. At least one country, area or city from each of themajor regions of the world are included where possible. As in the tables, the order of presentation followsalphabetically within the major region (Africa, North America, South America, Asia, Europe and Oceania).All notes that apply to the specific table apply also to the graph that precedes it.

12

1. Number of human settlements by size: country or area, urban/rural, latest available year

Technical notes

Definitions

The term human settlement largely corresponds to the locality, as defined in population and housing censuses. Itrefers to a distinct population cluster (also designated as inhabited place, populated centre and so forth) in whichthe inhabitants live in neighbouring sets of living quarters and that has a name or locally recognized status. Itincludes fishing hamlets, mining camps, ranches, farms, market towns, villages, towns, cities and many otherpopulation clusters that meet the criteria specified above. Deviations from this definition are found in footnotes atthe end of this table.

Coverage

Data are presented for 67 countries or areas and for urban and rural human settlements. For national definitions ofurban and rural, see section on General Notes.

Small settlements (up to 10,000 population) as a percentage of all humansettlements: selected countries

Per cent100

80 ------------

60 ------------

40 ------------

13

1. Number of human settlements by size: country or area, urban/rural, latest available year

(See notes at the end of table.)

Total 10+ 5-9.999 1-4.999 500000- 250000- 100000- 50000-million million million 999 999 499 999 249 999 99 999

1000049999

50009999

Under5000

Botswana,1991TOTAL

PercentageURBAN

PercentageRURAL

PercentageCongo,1984TOTAL

PercentageURBAN

PercentageRURAL

PercentageGambia, 1993TOTAL

PercentageURBAN

PercentageRURAL

PercentageKenya, 1989'URBAN

PercentageUbyan Arab Jamahiriya, 1995TOTAL

PercentageURBAN

PercentageRURAL

PercentageNiger, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentageSenegal,198&"URBAN

PercentageSouth Afrlca,1998TOTAL'URBANRURAL51. Helena, 1998TOTAL

PercentageURBAN

PercentageRURAL

Percentage

AMERICA; NORTH"0

39 1 3 4 24 5 2100 2.6 7.7 10.3 61.5 12.8 5.126 1 1 17 5 2

100 3.8 3.8 65.4 19.2 7.713 1 2 3 7

100 7.7 15.4 23.1 53.8

4551 1 1 11 11 4527100 0.0 0.0 0.2 0.3 99.5

6 1 1 4100 16.7 16.7 66.7

4545 7 11 4527100 0.2 0.2 99.6

1829 14 10 1805100 0.8 0.5 98.738 12 4 22

100 31.6 10.5 57.91791 2 6 1783

100 0.1 0.3 99.6

215 1 1 4 5 35 32 137100 0.5 0.5 1.9 2.3 16.3 14.9 63.7

667 123" 161 383100 18.4 24.1 57.4383 1232 161 99100 32.1 42.0 25.8284 284100 100

10901 1 2 0 19 53 10826100 0.0 0.0 0.0 0.2 0.5 99.339 1 2 0 17 17 2

100 2.6 5.1 0.0 43.6 43.6 5.110862 2 36 10824

100 0.0 0.3 99.7

28 2 5 3 1 2 15100 7.1 17.9 10.7 3.6 7.1 53.6

1282739938671

8 8100 100

1 1100 100

7 7100 100

TOTAL 18 1 1 3 13Percentage 100 5.6 5.6 16.7 72.2

URBAN 2 1 1Percentage 100 50.0 50.0

RURAL 16 3 13Percentage 100 18.8 81.3

Bermuda, 1991TOTAL 9 1 8

Percentage 100 11.1 88.9

14

1. Number of human settlements by size: country or area, urban/rural, latest available year(continued)


Total 10+ 5-9.999 1-4.999 500000- 250000- 100000- 50000- 10000- 5000- Undermillion million million 999999 499999 249999 99999 49999 9999 5000


Canada, 1998TOTAL 5984 1 8 7 30 55 316 347 5220

Percentage 100 0.0 0.1 0.1 0.5 0.9 5.3 5.8 87.2Dominican Republic, 1993URBAN 30 1 1 8 8 12

Percentage 100 3.3 3.3 26.7 26.7 40.0Greenland,1999TOTAL 123 1 1 121

Percentage 100 0.8 0.8 98.4URBAN 17 1 1 15

Percentage 100 5.9 5.9 88.2RURAL 106 106

Percentage 100 100.0Jamaica, 1991TOTAL 18 1 1 2 5 8 1

Percentage 100 5.6 5.6 11.1 27.8 44.4 5.6URBAN 18 1 1 2 5 8 1

Percentage 100 5.6 5.6 11.1 27.8 44.4 5.6Mexico, 1995TOTAL 201138 7 21 32 48 61 536 665 199768

Percentage 100 0.0 0.0 0.0 0.0 0.0 0.3 0.3 99.3URBAN 2827RURAL 198311Nicaragua, 1995TOTAL 287 1 1 10 101 62 112


Percentage 100 0.7 0.7 6.3 16.7 18.1 57.6RURAL 143 1 77 36 29

Percentage 100 0.7 53.8 25.2 20.3Panama, 1990TOTAL 36 2 12 22

Percenlage 100 5.6 33.3 61.1URBAN 14 2 12

Percentage 100 14.2 85.8RURAL 22 22

Percentage 100 100Puerto Rico, 1990TOTAL 220 1 3 3 23 33 157


Percentage 100 1.0 2.9 2.9 21.9 31.4 40.0RURAL 115 115

Percentage 100 100.0Saint Lucia, 1999TOTAL 12 6 4 2

Percentage 100 50.0 33.3 16.7URBAN 2 1 1

Percentage 100 50.0 50.0RURAL 10 5 4 1

Percentage 100 50.0 40.0 10.0United Stetes, 1990TOTAL 18348 2 1 30 26 44 121 172 773 1135

Percentage 100 0.0 0.0 0.2 0.1 0.2 0.7 0.9 4.2 6.2URBAN 4334 2 1 30 26 44 121 172 773 1135

Percentage 100 0.0 0.0 0.7 0.6 1.0 2.8 4.0 17.8 26.2RURAL 14014

Percen 100

1617 1 2 4 7 12 28 185 180 1198100 0.1 0.1 0.2 0.4 0.7 1.7 11.4 11.1 74.1

15



Total 10+ 5-9.999 1-4.999 500000- 250000- 100000- 50000- 10 000- 5000- Undermillion million million 999999 499999 249999 99999 49999 9999 5000

URBAN 785 1 2 4 7 12 28 185 180 366Percentage 100 0.1 0.3 0.5 0.9 1.5 3.6 23.6 22.9 46.6

RURAL' 832 832Percentage 100 100.0

Colombia, 19937

TOTAL 1089Uruguay, 1996TOTAL

Percenta e

rmena, 99TOTAL 919 1 2 3 30 40 843


Percentage 100 2.1 4.2 6.3 60.4 16.7 10.4RURAL 871 1 32 838

Percentage 100 0.1 3.7 96.2Azerbaijan, 1989TOTAL 4376 1 1 1 6 64 75 4228

Percentage 100 0.0 0.0 0.0 0.1 1.5 1.7 96.6URBAN 187 1 1 1 6 64 37 77

Percentage 100 0.5 0.5 0.5 3.2 34.2 19.8 41.2RURAL 4189 38 4151

Percentage 100 0.9 99.1China· Hong Kong SAR, 1996TOTAL 1 1

Percentage 100 100Cyprus, 1992TOTAL 354 2 1 1 1 349

Percentage 100 0.6 0.3 0.3 0.3 98.6URBAN 4 2 1 1

Percentage 100 50.0 25.0 25.0RURAL 350 1 349

Percentage 100 0.3 99.7Georgia, 1989TOTAL 1076 1 4 2 38 110 921



Percentage 100 0.7 8.4 90.9Iran, 1996TOTAL' 68739 1 4 4 14 36 60 260 384 67974

Percentage 100 0.0 0.0 0.0 0.0 0.1 0.1 0.4 0.6 98.9URBAN7 614 1 4 4 14 36 60 260 150 83

Percentage 100 0.2 0.7 0.7 2.3 5.9 9.8 42.5 24.5 13.6RURAL 68125 234 67891

Percentage 100 0.3 99.7Israel, 1994'TOTAL 1184 1 2 9 9 63 47 1053


Percentage 100 0.5 1.0 4.7 4.7 32.8 24.5 31.8RURAL 992 992

Percentage 100 100Japan, 1995TOTAL 3233 1 10 11 64 135 227 1249 859 677

Percentage 100 0.0 0.3 0.3 2.0 4.2 7.0 38.6 26.6 20.9URBAN 591 1 10 11 64 135 220 150

Percentage 100 0.2 1.7 1.9 10.8 22.8 37.2 25.4RURAL 2642 7 1099 859 677

Percentage 100 0.3 41.6 32.5 25.6

16

-~-~------------------------------




Malaysia - Peninsular, 1991TOTAL 894 2 9 17 79 75 712



Percentage 100 0.2 3.0 96.8Malaysia· Sabah, 1991TOTAL 61 1 2 6 5 47

Percentage 100 1.6 3.3 9.8 8.2 noURBAN 14 1 2 5 3 3

Percentage 100 7.1 14.3 35.7 21.4 21.4RURAL 47 1 2 44

Percentage 100 2.1 4.3 93.6Malaysia - Sarawak,1991TOTAL 91 2 2 3 3 81

Percentage 100 2.2 2.2 3.3 3.3 89.0URBAN 13 2 2 3 6

Percentage 100 15.4 15.4 23.1 46.2RURAL 78 3 75

Percentage 100 3.8 96.2Pakistan, 1998"URBAN 462 2 5 3 8 29 62 292 52 9

Percentage 100 0.4 1.1 0.6 1.7 6.3 13.4 63.2 11.3 1.9Korea, Republic of,1995TOTAL 173 1 5 10 13 48 59 37

Percentage 100 0.6 2.9 5.8 7.5 27.7 34.1 21.4URBAN 73 1 5 10 13 34 10


Percentage 100 14.0 49.0 37.0SIngapore, 1999TOTAL 1 1

Percentage 100 100Sri Lanka, 1994"TOTAL 32 3 11 4 4 5 5

Percentage 100 9.4 34.4 12.5 12.5 15.6 15.6URBAN 15 1 4 5 5

Percentage 100 6.7 26.7 33.3 33.3RURAL 17 2 11 4

Percentage 100 11.8 64.7 23.5Thailand,1998TOTAL 151 1 15 27 28 21 19 39 1

Percentage 100 0.7 9.9 17.9 18.5 13.9 12.6 25.8 0.7URBAN12 76 1 1 3 12 19 39 1

Percentage 100 1.3 1.3 3.9 15.8 25.0 51.3 1.3RURAL'" 75 15 26 25 9

Percentage 100 20.0 34.7 33.3 12.0Turkey,1997TOTAL 38288 10 85 192 290 465 37246


Percentage 100 1.1 9.1 19.3 24.9 23.4 22.2RURAL 37368 1 14 61 250 37042

Percentage 100 0.0 0.0 0.2 0.7 99.1

Austria, 1991TOTAL

PercentageURBAN

PercentageRURAL

Percentage

1360 1 2 2 5 45 68 1237100 0.1 0.1 0.1 0.4 3.3 5.0 91.0349 1 2 2 5 45 68 226100 0.3 0.6 0.6 1.4 12.9 19.5 64.8

1011 1011100 100

17



Total 10+ 5-9.999 1....999 500000- 250000- 100000- 50000- 10000- 5000- Undermillion million million 999999 499999 249999 99999 49999 9999 5000

Belarua,1999TOTAL" 23669 1 5 9 9 63 59 23523


Percentage 100 0.5 2.4 4.2 4.2 29.7 23.6 35.4RURAL 23457 9 23448

Percentage 100 0.0 100Belgium, 1199TOTAL 589 1 7 19 305 165 92



Percentage 100 100Bulgaria, 1998TOTAL 5339 1 8 32 43 66 5189


Percentage 100 0.4 3.3 13.3 17.9 25.0 40.0RURAL 5099 6 5093

Percentage 100 0.1 99.9Channellalanda-Guemaey,1.TOTAL 1 1

Percentage 100 100Croatia, 1891TOTAL 6694 1 3 4 31 41 6614


Percentage 100 0.5 1.5 2.0 15.3 16.3 64.5RURAL 6491 8 6483

Percentage 100 0.1 99.9Czech Republic, 1998TOTAL 6242 1 2 2 17 110 135 5975



Percentage 100 100Eatonla,1999TOTAL 4651 1 1 3 10 8 4628

Percentage 100 0.0 0.0 0.1 0.2 0.2 99.5URBAN" 55 1 1 3 10 8 32


Percentage 100 100Finland, 1895TOTAL 906 1 4 5 39 60 797


Percentage 100 0.1 0.4 0.6 4.3 6.6 88.0France, 1999"TOTAL 36565 1 1 5 29 68 748 943 34 no

Percentage 100 0.0 0.0 0.0 0.1 0.2 2.0 2.6 95.1URBAN 5297 1 1 5 29 68 748 935 3510

Percentage 100 0.0 0.0 0.1 0.5 1.3 14.1 17.7 66.3RURAL 31268 8 31260

Percentage 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100Genneny,1898TOTAL 14197 3 9 17 53 107 1341 1248 11419

Percentage 100 0.0 0.1 0.1 0.4 0.8 9.4 8.8 80.4Hungary,1l189TOTAL 3131 1 8 12 115 135 2860

Percentage 100 0.0 0.3 0.4 3.7 4.3 91.3

18




URBAN 218 1 8 12 106 67 24Percentage 100 0.5 3.7 5.5 48.6 30.7 11.0

RURAl 2913 9 68 2836Percentage 100 0.3 2.3 97.4

Ireland,l999TOTAL 49 1 1 2 21 24

Percentage 100 2.0 2.0 4.1 42.9 49.018" of Man,l996TOTAL 24 1 2 21


Percentage 100 12.5 25.0 62.5RURAL 16 16

Percentage 100 100Latvla,l99917

TOTAL 74007 1 1 3 18 13 73971Percentage 100 0.0 0.0 0.0 0.0 0.0 100

URBAN n 1 1 3 18 11 43Percentage 100 1.3 1.3 3.9 23.4 14.3 55.8

RURAL 73930 2 73928Percentage 100 0.0 100

Lithuania, 1999TOTAL 21614 1 1 3 2 32 21 21554



Percentage 100 100Malta, 1998TOTAL" 67 11 19 37

Percentage 100 16.4 28.4 55.2Netherlanda,l9HTOTAL 538 2 1 22 34 354 105 20

Percentage 100 0.4 0.2 4.1 6.3 65.8 19.5 3.7URBAN 157 2 1 21 33 99 1

Percentage 100 1.3 0.6 13.4 21.0 63.1 0.6 0.0RURAL 381 1 1 255 104 20

Percentage 100 0.3 0.3 66.9 27.3 5.2Norway. 1998"TOTAL 940 1 3 3 35 48 850


Percentage 100 0.1 0.3 0.3 3.7 5.1 90.4PoIand,l998·TOTAL 3046 1 4 8 29 50 627 1330 997

Percentage 100 0.0 0.1 0.3 1.0 1.6 20.6 43.7 32.7URBAN 875 1 4 8 29 50 321 181 281

Percentage 100 0.1 0.5 0.9 3.3 5.7 36.7 20.7 32.1RURAL 2171 306 1149 716

Percentage 100 14.1 52.9 33.0Portugal,l991TOTAL 26927 1 1 2 5 92 92 26734



Percentage 100 100Republic of Moldova, 19HTOTAL 1680 1 3 1 38 67 1570



Percentage 100 0.2 3.3 96.5

19




Slovakia, 1991TOTAL 2825 1 1 9 61 50 2703



Percentage 100 100Spain, 1996TOTAL 36411Sweden, 1995"'URBAN 1938 5 14 90 117 1712

Percentage 100 0.3 0.7 4.6 6.0 88.3

Pitcairn, 1999TOTALRURAL

NOTES

1 Data refer to administrative cities and municipalities and not necessarily to human settlements.

2 Data refer to all human settlements with population of 10,000 and over.

"Data refer only to cities. as defined by national legislation and to large settlements (over 20.000) not officially defined as cities (this refers to Pike. a satellite town ofDakar). Exact data on rural settlements are not available: the majority of villages and hamlets numbering 12.000 to 13.000 have less than 10.000 inhabitants.

4 The total for the country differs from the sum of urban and rural areas due to the lack of urban/rurel infonnation for all settlements.

• Data refer to the Commonwealth of the Bahamas.

• Data on human settlements with the popUlation under 5,000 comprise local authorities with 500-1.999 inhabitants only.

7 Data are based on projections of settlements at provincial level.

• Difference between the total and sum of individual categories is due to the inclusion of the cities of Tajrish and Raywhich with the city ofTehran.

• Including data for East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967.

,. Data on urban areas are provisional.

11 Data refer to administrative regions.

12 Data on urban areas refer to municipal areas.

13 Data on rural areas refer to non-municipal areas.

,. Data on total number of rural settlements include 764 enumerated uninhabited settlements.

" In Estonia there are 13 towns and townships with population of under 2.000 that are considered urban settlements.

,. Data on urban and rural settlements are based on delimitation effected during the population census 1990. Delimitation of the1999 Census will be available bythe end of 2000.

17 Urban population refers to those persons who live in cities and towns. i.e. populated areas with developed industry. social infrastructure and communal economy. withthe resident population not less than 2.000. The cabinet of ministers of Latvia approved the list of cities and towns. In a number of historically developed cities thepopulation may be less than 2.000. All the rest is rural population.

,. Because of the small area of the Maltese Islands and the relative homogeneity between what are locally tenned cities. towns and villages. no distinction is made inMaltese statistics between urban and rural settlements.

11 In order for an agglomeration of houses to be considered as an urban settlement. it should have at least 200 residents and the distance between houses shouldnonnally not exceed 50 meters. Deviations are allowed for areas that cannot/are not occupied. e.g. parks. sports facilities, industrial areas or natural barriers such asrivers or arable areas. Also included are agglomerations that naturally belong to the urban settlement with up to a distance of 400 meters from the centre of theurban settlement.

.. Urban and rural settlements refer to urban cities and guinas (rural areas).Total number of human settlements (3.046) includes 308 urban guinas • 567 urban/ruralguinas and 1604 rural guinas. Total number of human settlements ranging 1-4.999 refer to Warsaw which comprises 11 guinas which were counted as one.

"' Locality: A \1roup of buildings nonnally not more than 200 meters apart from each other and has to fulfill a minimum criterion of having at least 200 inhabitants. InSweden localities are defined as urban and all areas outside the localities as rural.

20

2. Households by type of living quarters: country or area, urban/rural, cities, latest availableyear

Technical notes

Definitions

Households

The concept of household is based on the arrangements made by persons, individually or in groups, for providingthemselves with food or other essentials for living. A household may be either (a) a one-person household, that is,a person who makes provision for his or her own food or other essentials for living without combining with anyother person to form a part of a multi-person household or (b) a multi-person household, that is, a group of two ormore persons living together who make common provision for food or other essentials for living. The persons inthe group may pool their incomes and may, to a greater or lesser extent, have a common budget; they may berelated or unrelated persons or constitute a combination of persons both related and unrelated. This concept ofhousehold is known as the "housekeeping" concept. It does not assume that the number of households andhousing units (see below) is equal. Although the concept of housing unit implies that it is a space occupied by onehouseliold, it may also be occupied by more than one household or by a part of a household (for example, twonuclear households that share one housing unit for economic reasons or one household in polygamous societyroutinely occupying two or more housing units).

Although the general concept of a household falls within the boundaries listed above, national definitions differ. Fora detailed list, please see section on General Notes.

Type of living quarters

Living quarters are structurally separate and independent places of abode. They may (a) have been constructed,built, converted or arranged for human habitation, provided that they are not used wflolly for other purposes andthat, in the case of improvised housing units and collective living quarters, they are occupied at the time of theenumeration or (b) although not intended for habitation, actually be in use for such a purpose. Living quarters areeither housing Units or collective living quarters.

Housing unit is a separate and independent place of abode intended for habitation by a single household, or onenot intended for habitation but occupied as living quarters by a household at the time of the enumeration. It maybe an occupied or vacant dwelling, an occupied mobile or improvised housing unit or any other place occupied asliving quarters by a household at the time of the census. This category includes housing of various levels ofpermanency and acceptability.

Conventional dwelling is a room or suite of rooms and its accessories in a permanent building or structurallyseparated part thereof which, by the way it has been built, rebuilt or converted, is intended for habitation by onehousehold and is not, at the time of the enumeration, used wholly for other purposes. It should have a separateaccess to a street (direct or via a garden or grounds) or to a common space within the bUilding (staircase,passa~e, gallery and so on). Examples of dwellings are houses, flats, suites of rooms, apartments. Therefore, theessential elements of a conventional dwelling are: (a) a room or suite of rooms, (b) located in a permanentbuilding, (c) with separate access to a street or to a common space, (d) intended to be occupied by onehousehold, equipped with the following facilities within dwelling: (e) kitchen or other space for cooking, (f) fixedbath or shower, (g) toilet, and (h) piped water.

Basic dwelling is a housing unit that has some but not all of the essential facilities of a conventional dwelling. It isa permanent structure or a part of a permanent structure, hence it may be a room or a suite of rooms in apermanent building but it is without some of the conventional dwelling facilities such as kitchen, fixed bath orshower, piped water or toilet. In a number of countries or areas, a certain proportion of the housing inventorycomprises such housing units which possess some but not all the characteristics of conventional dwellings.Therefore, basic dwellings are more or less conventional from the point of view of permanency of structure butlack some of the housing facilities identified as essential (the four types being cooking facilities, bathing facilities,piped water and toilet).

21

Temporary housing unit refers to a structure that, by the way it has been built, is not expected to maintain itsdurability for as long a period of time 'as, but has some of the facilities of, a conventional dwelling. This categoryrefers also to a traditional and typical type of housing unit that does not have all the characteristics of conventionalor basic dwellings but is considered somewhat suitable from the point of view of climate and tradition. This isespecially the case in many tropical and subtropical rural areas where housing units have been constructed or builtwith locally available raw materials such as bamboo, palm, straw or any similar materials. Such units often havemud walls, thatched roofs and so forth, and may be expected to last only for a limited time (from a few months to10 years), although occasionally they may last for longer periods.

Marginal housing unit refers to a unit that does not have many of the features of a conventional dwelling and isgenerally characterized as unfit for human habitation, but that is used for the purpose of habitation. Therefore, it isneither a permanent structure nor one equipped with any of the essential facilities. These units are characterizedby the fact that they are either makeshift shelters constructed of waste materials and generally considered unfit forhabitation (squatters' huts, for example) or places that are not intended for human habitation although in use forthat purpose (barns, warehouses, natural shelters and so on). Under almost all circumstances, such places ofabode represent unacceptable housing.

Collective living quarters include structurally separate and independent places of abode intended for habitation bylarge groups of individuals or several households and occupied at the time of the census. Such quarters usuallyhave certain common facilities, such as cooking and toilet installations, baths, lounge rooms or dormitories, whichare shared by the occupants. They may be further classified into hotels, rooming houses and other lodginghouses, institutions and camps.

Coverage

Data are presented for 79 countries/areas and for 197 cities. For national definitions of urban and rural, seesection on General Notes.

Percentage of households living in conventional dwellings in urban and rural areas:selected countries

UrbanLibyan Arab Jamahiriya

Niger

South Africa

Guatemala

Puerto Rico

United States

Bolivia

Korea, Rep. of

Malaysia - Peninsular

Turkey

Czech Republic

Hungary

Spain

100 80 60 40 20

Per cent

22

o

Rural

20 40 60 80 100

Per cent

2. Households by type of living quarters: country or area, urban/rural, cities, latest availableyear

(See notes at end of table.)Type ollivlng quarters

AFRICA

Total

Housing unitConventional Basic dwelling Temporary

dwelling housing umtMarginal

housing unit

collective livingquarters

Not stated

Benln,1994TOTAL

HouseholdsURBAN

HouseholdsRURALHouseholds

Botswana, 1996TOTAL

HouseholdsGABORONE

HouseholdsFrancistownHouseholds

Burkina Fuo,1991TOTAL

HouseholdsURBANHouseholds

RURALHouseholds

OUAGADOUGOUHouseholds

Bobo DioulassoHouseholds

KoudougouHouseholds

OuahigouyaHouseholds

Congo,1984TOTAL

HouseholdsURBAN

HouseholdsRURAL

HouseholdsBRAZZAVILLE

HouseholdsPointe-.NoireHouseholds

DoligieHouseholds

NkayiHouseholds

Egypt,1996TOTAL

Living quartersPercentage

URBANUving quarters

PercentageRURALliVing quarters

PercentageCAIRO


AlexandriaLiving quarters

Percentage

832526

306780

525746

276209

36839

16789

1399149

197871

1201278

98033

42279

7572

7543

363140

181331

181809

103263

56523

9048

7242

18691 143 703 213 15507092100 3.8 83.0

10122361 533536 7920 158100 5.3 78.2

8568782 169677 7586934100 2.0 88.5

2810584 236644 2142902100 8.4 76.2

1401557 82561 1111777100 5.9 79.3

23

2461 19113.2

165749016.4

803 7019.4

42708215.2

206 35114.7

196470.1

111770.1

84700.1

39560.1

8680.1

2. Households by type of living quarters: country or area, urban/rural, cities, latestavailable year (continued)

(See notes at end of table.)Type of living quarters

Total Collective living Not statedHousing unit quarters

Conventional Basic dwelling Temporary Marginaldwelling housing Unit housing unit

GizaLiving quarters 958884 50535 755043 153305 1

Percentage 100 5.3 78.7 16.0 0.0Shobra-EI-Khema

Living quarters 304530 24710 230614 48471 735Percentage 100 8.1 75.7 15.9 0.2

Gambia, 1993TOTAL

Households 116001URBAN

Households 54042RURALHouseholds 61959

BANJULHouseholds 7032

KanifingHouseholds 31426

Kenya,1989TOTAL

Households 4352751NAIROBIHouseholds 382863

MombasaHouseholds 124468

KisumuHouseholds 47690

NakuruHouseholds 46800

Le8otho, 1996TOTAL

Households 370972living quarters 370972

URBANHouseholds 79452Living quarters 79452

RURALHouseholds 291520Living quarters 291520

MASERUHouseholds 83961Living quarters 83961

Ubyan Arab Jamahiriya, 1995'TOTAL

Households '634 919 89722 104 726 408375 12049 20047Percentage 100 14.1 16.5 64.3 1.9 3.2

Living quarters 730757 79619 114334 494429 18920 23455Percentage 100 10.9 15.6 67.7 2.6 3.2

URBANHouseholds 545998 84461 102490 336444 9539 13064

Percentage 100 15.5 18.8 61.6 1.7 2.4RURALHouseholds 88 921 5261 2236 71931 2510 6983

Percentage 100 5.9 2.5 80.9 2.8 7.9TRIPOLI

Living quarters 207948 27164 45909 125742 1656 74nPercentage 100 13.1 22.1 60.5 0.8 3.6

BENGAZILiving quarters 103783 17541 33492 48671 2089 1990

Percentage 100 16.9 32.3 46.9 2.0 1.9zawia

liVing quarters 80087 3012 4449 66865 1488 4273Percentage 100 3.8 5.6 83.5 1.9 5.3

24




Conventional Basic dwelling Temporary Marginaldwelling housing unit housing unit

MisurataLiving quarters 67537 849 7172 57481 629 1406Percentage 100 1.3 10.6 85.1 0.9 2.1

Mauritius, 1990TOTAL

Households 236635Living quarters 223821



PORT-LOUISHouseholds 30780Living quarters 29456

Niger, 1988TOTAL

Households 1 129126 12420 1088479 14679 13550Percentage 100 1.1 96.4 1.3 1.2


URBANHouseholds 182969 10612 165953 2379 4025

Percentage 100 5.8 90.7 1.3 2.2Living quarters 182969 10612 165953 2379 4025

Percentage 100 5.8 90.7 1.3 2.2RURALHouseholds 946157 946 922503 13246 9462

Percentage 100 0.1 97.5 1.4 1.0Living quarters 946157 946 922503 13246 9462Percentage 100 0.1 97.5 1.4 1.0

Senegal,1994TOTAL

Households m931Living quarters m931

URBAN'Households 330828Living quarters 330828


DAKAR"Households 183349Living quarters 183349

Seychelles, 1991'TOTALHouseholds 17878 12905 3403 993 577

Percentage 100 72.2 19.0 5.6 3.2PORT VICTORIAHouseholds 5815 5815

Percentage 100 100South Africa, 1996"TOTAL

Households 9059573 5211728 2127848 1592648 17126 110223Percentage 100 57.5 23.5 17.6 0.2 1.2


Percentage 100 65.7 8.8 24.2 0.2 1.2RURALHouseholds 3632698 1648108 1652535 279851 8721 43483

Percentage 100 45.4 45.5 7.7 0.2 1.2

26


(See notes at end of table.)

PRETORIAHouseholds

PercentageCAPETOWN

HouseholdsPercentage

DurbanHouseholds

PercentageJohannesburg


51. Helena, 1998TOTAL

HouseholdsURBAN

HouseholdsRURALLiving quarters

Zimbabwa, 1997TOTAL

HouseholdsURBANHouseholds

RURALHouseholds

HARAREHouseholds

BulawayoHouseholds

ChitungwizaHouseholds

MutareHouseholds

Total

Conventionaldwelling

214633 168 814100 78.7

60267 53833100 89.3

164 738 125949100 76.5

228135 173756100 76.2

1610

288

1322

2510410

926210

1584200

301506

146062

62788

33083


Collective living Not stated

Housing unit quarters

Basic dwelling Temporary Marginalhousingumt housing unit

21014 21793 223 27899.8 10.2 0.1 1.3

2362 3644 20 4083.9 6.0 0.0 0.7

11925 25575 182 11077.2 15.5 0.1 0.7

24990 24854 177 435811.0 10.9 0.1 1.9

Bahamas, 1990TOTAL


Bermuda, 1991TOTAL



URBANHouseholds

PercentageLiving quarters

PercentageHAMILTON



Canada, 1998TOTAL

HouseholdsURBAN

HouseholdsRURAL

Households

66962 61906 8892.4 0.1

22430 21950 83 369 28100 97.9 0.4 1.6 0.1

22430 21950 83 369 28100 97.9 0.4 1.6 0.1

22430 21950 83 369 28100 97.9 0.4 1.6 0.1

22430 21950 83 369 28100 97.9 0.4 1.6 0.1

500 381 7 112100 76.2 1.4 22.4500 381 7 112100 76.2 1.4 22.4

11690000

9730000

1960000

26



Total Collective living Not stated


Conventional BaSic dwelling Temporary Marginaldwelling housingumt housing unit

OTTAWAHouseholds 313200

MontrealHouseholds 1450 300

TorontoHouseholds 1656600

CalgaryHouseholds 332700

Costa Rica, 1997TOTAL

Living quarters 1568256 784128 n6821 1997 5310Percentage 100 50.0 49.5 0.1 0.3

URBANLiving quarters 712518 356259 351 nl 1505 2983Percentage 100 50.0 49.4 0.2 0.4

RURALLiving quarters 855738 427869 425050 492 2327

Percentage 100 50.0 49.7 0.1 0.3Dominican RepUblic, 1993TOTAL

Households 1662256 1543383 115527 3346Percentage 100 92.8 7.0 0.2

liVing quarters 1629616 1513078 113258 3280Percentage 100 92.8 6.9 0.2

SANTO DOMINGOHouseholds 519445 461552 56727 1165Percentage 100 88.9 10.9 0.2

Living quarters 512701 455560 55991 1150Percentage 100 88.9 10.9 0.2

Santiago de los CaballerosHouseholds 164843 156750 7nO 323

Percentage 100 95.1 4.7 0.2Living quarters 161654 153966 7367 321

Percentage 100 95.2 4.6 0.2La RomanaHouseholds 40393 30665 9592 136

Percentage 100 75.9 23.7 0.3Living quarters 37781 30 157 7490 134Percentage 100 79.8 19.8 0.4

San Pedro de MacorisHouseholds 53964 45666 8271 27


Percentage 100 94.4 5.6 0.0Guatemala, 1994TOTAL

Households 1591823 1312841 54790 194 191 30001Percentage 100 82.5 3.4 12.2 1.9

Living quarters 1805732 1494 786 51031 227256 32659Percentage 100 82.8 2.8 12.6 1.8





Percentage 100 79.4 0.1 18.8 1.6GUATEMALA

Households 182171Living quarters 183 618 155524 22596 269 5229

Percentage 100 84.7 12.3 0.1 2.8

27


(See notes at end of table.)Type 01 living quarters


Housing unit quartersConventional Basic dwelling Temporary Marginal

dwelling housing uOit housing unitRURALHouseholds 7957191living quarters 4668782 4667152 1630Percentage 100 100.0 0.0

Nicaragua, 1995TOTALHouseholds 769373 167060 549907 31760 20645


Percentage 100 20.8 72.2 4.4 2.6URBANHouseholds 438830 160 127 260579 4691 13433

Percentage 100 36.5 59.4 1.1 3.1Living quarters 408614 144 559 247159 4691 12205

Percentage 100 35.4 60.5 1.1 3.0RURALHouseholds 330543 6933 289328 27070 7212Percentage 100 2.1 87.5 8.2 2.2

living quarters 312590 5332 273680 26832 6746Percentage 100 1.7 87.6 8.6 2.2

MANAGUAHouseholds 157202 87734 62463 741 6264Percentage 100 55.8 39.7 0.5 4.0

living quarters 146652 81475 58556 741 5880Percentage 100 55.6 39.9 0.5 4.0

LeonHouseholds 22283 9899 11461 923Percentage 100 44.4 51.4 4.1


JinotepeHouseholds 4325 3535 790Percentage 100 81.7 18.3

Living quarters 3764 2974 790Percentage 100 79.0 21.0

MatagalpaHouseholds 9nO 5258 4310 202Percentage 100 53.8 44.1 2.1


Panama, 1990'TOTAL

Households 526456Living quarters 524284 405688 32328 76571 9697 725Percentage 100 n.4 6.2 14.6 1.8

URBANHouseholds 2968nLiving quarters 295105 251811 29104 10261 3929 421Percentage 100 85.3 9.9 3.5 1.3

RURALHouseholds 229579Living quarters 229179 1538n 3224 66310 5768 304Percentage 100 67.1 1.4 28.9 2.5 0.1

PANAMAHouseholds 106887Living quarters 105409 87968 15277 1630 534 178Percentage 100 83.5 14.5 1.5 0.5

San MiguelitoHouseholds 51667liVing quarters 51645 47566 919 2472 688 10

Percentage 100 92.1 1.8 4.8 1.3ColonHouseholds 15520Living quarters 15471 8264 6731 74 402 15Percentage 100 53.4 43.5 0.5 2.6

29






DavidHouseholds 23768Living quarters 26952 23n4 n5 1975 348 40Percentage 100 88.2 2.9 7.3 1.3

Puerto Rico, 1990TOTALHouseholds 1054 924 1006358 48566

Percentage 100 95.4 4.6Living quarters 1 188 985 1125318 63667Percentage 100 94.6 5.4

URBANHouseholds 768650 746556 22094

Percentage 100 97.1 2.9Living quarters 851037 822273 28764Percentage 100 96.6 3.4

RURALHouseholds 286274 259802 26472


SANJUANHouseholds 150592 148 119 2473


BayamonHouseholds 65785 64983 802


PonceHouseholds 54191 51139 3052


CarolinaHouseholds 54466 53768 698

Percentage 100 98.7 1.3Living quarters 61903 61042 861

Percentage 100 98.6 1.4Selnt Lucle,1991TOTAL

Households 33079 33022 57Percentage 100 99.8 0.2

Viex-FortHouseholds 13179

SoufriereHouseholds 3097

Gros IsletHouseholds 1905

Unhed Stete., •TOTAL,1997Households 99487000 95701000 3786000

Percentage 100 96.2 3.8liVing quarters 112357000 104865000 7492000Percentage 100 93.3 6.7

URBAN,1997Households 71317000 68184000 3133 000


30

2. Household. by type of living quarters: country or area, urban/rural, cities, latestavailable year (continued)

(See notes at end of table.)Type 01 living quarters

Total Collective liVing Not stated



RURAL,1997Households 28170000 27517000 653000


Percentage 100 93.8 6.2WASHINGTON D.C., 1993Households 1519200 1500200 19000


Percentage 100 98.1 1.9New York, 1991Households 4156 100 4063000 93100


Percentage 100 96.8 3.2Los Angeles, 1995

Households 2947500Living quarters 3276000

Houston, 1991Households 1264200 1244 300 19900Percentage 100 98.4 1.6

Living quarters 1448 700 1362400 86300Percentage 100 94.0 6.0

Argentina, 1991TOTAL



URBANHouseholdsLiving quarters

PercentageRURALHouseholdsLiving quarters

PercentageBUENOS AIRESHouseholds


PercentageCordobaHouseholds


PercentageRosarioHouseholds


PercentageLa PlataHouseholds


PercentageBolivia, 1997TOTAL


8927289 6512256 1486017 134 691 616581 177744100 72.9 16.6 1.5 6.9 2.0

8532916 6282798 1408 070 85060 589374 17475 150 119100 73.6 16.5 1.0 6.9 0.2 1.8

78806077520603 5918795 992232 73011 391683 15015 129867

100 78.7 13.2 1.0 5.2 0.2 1.7

10466821012313 364003 415838 12069 197691 2460 20252

100 36.0 41.1 1.2 19.5 0.2 2.0

3287811 2620606 351002 46988 211 126 58089100 79.7 10.7 1.4 6.4 1.8

3155743 2539643 333556 27301 202021 5585 47637100 60.5 10.6 0.9 6.4 0.2 1.5

326235 278116 28105 5124 7049 7841100 85.3 8.6 1.6 2.2 2.4

304507 263312 25435 2776 6606 505 5873100 86.5 8.4 0.9 2.2 0.2 1.9

327314 274573 21791 3592 21817 5541100 83.9 6.7 1.1 6.7 1.7

315560 267142 20747 1860 21005 330 4496100 84.7 6.6 0.6 6.7 0.1 1.4

191876 162649 12258 2282 10649 4038100 84.8 6.4 1.2 5.5 2.1

183882 157128 11693 1158 10160 289 3434100 85.5 6.4 0.6 5.5 0.2 1.9

1822785 289453 1201117 325301 6914100 15.9 65.9 17.8 0.4

31



Uruguay, 1996TOTALHouseholdsPercentage

Uving quartersPercentage

URBANHouseholdsPercentage


RURALHouseholds

PercentageLiving quartersPercentage

MONTEVIDEOHouseholdsPercentage


PaysanduHouseholdsPercentage


RiveraHouseholdsPercentage


SaitoHouseholdsPercentage

Uving quartersPercenta e

Total

975056

1 126502

887032

1020046

88024

106456

415038

441809

21505

22670

18460

19987

24651

25835


Housing unit


Marginalhousing unit

Collective livingquarters

50190.5

64590.6

22380.3

32000.3

27813.2

32593.1

10400.3

12090.3

540.364

0.3

230.136

0.2

640.388

0.3

Not stated

1862231 1810856 44697 6678100 97.2 2.4 0.4

1781835 1732248 43355 6232100 97.2 2.4 0.3

121692 117925 2430 123 1214100 96.9 2.0 0.1 1.0

115487 112004 2188 110 1185100 97.0 1.9 0.1 1.0

185459 184 161 1074 224100 99.3 0.6 0.1

233210 231930 1065 215100 99.5 0.5 0.1

59974 59488 427 59100 99.2 0.7 0.1

83847 83363 426 58100 99.4 0.5 0.1

.~ . '.

China· ong ong AR, 1996TOTALHouseholdsPercentage


China· Meclu SAR, 1996"TOTALHouseholdsPercentage


Cyprus, 1992TOTALHouseholdsPercentage


URBANHouseholdsPercentage


33


(See notes at end of table.)Type olliving quarters

Total Collective liVing Not statedHousing unit quarters

Conventional Basic dwelling Temporary Marginaldwelling housing umt housing unit

RURALHouseholds 59974 59488 427 59Percentage 100 99.2 0.7 0.1


NICOSIAHouseholds 55059 54 786 220 53

Percentage 100 99.5 0.4 0.1Living quarters 60855 60582 220 53Percentage 100 99.6 0.4 0.1

LimassolHouseholds 42031 41792 181 58Percentage 100 99.4 0.4 0.1

Living quarters 50 821 50596 173 52Percentage 100 99.6 0.3 0.1

LamakaHouseholds 18485 18300 167 18


Percentage 100 99.2 0.7 0.1PatosHouseholds 9910 9795 79 36Percentage 100 98.8 0.8 0.4


Georgla,1998TOTAL

Households 1412939URBANHouseholds 752674

RURALHouseholds 660265

TBILISIHouseholds 344919

KutaisiHouseholds 56544

RustaviHouseholds 43619

BatumiHouseholds 38483

Iran,1996TOTALHouseholds 12398235

URBANHouseholds 7948925


TEHERANHouseholds 1660517

MashhadHouseholds 408302

EsfahanHouseholds 297546

Tabriz CityHouseholds 268 915

18'••',1995"TOTALHouseholds 1773624 150 945 1622679Percentage 100 8.5 91.5

URBANHouseholds 1596 289 121360 1474929


34






RURALHouseholds ln335 29585 147750

Percentage 100 16.7 83.3JERUSALEM"


Households 153 091 6318 146n3Percentage 100 4.1 95.9

HaifaHouseholds 101 571 10112 91459Percentage 100 10.0 90.0

Rishon L'ZionHouseholds 49396 1713 47683

Percentage 100 3.5 96.5Japan, 1993TOTAL

Households 40970700 188400Percentage 0.5

Living quarters 45878800 159300Percentage 0.3

URBANHouseholds 33117400 141500

Percentage 0.4Living quarters 37161200 117100

Percentage 0.3RURALHouseholds 7853300Living quarters 8717600

TOKYOHouseholds 3330500 12400


Percentage 0.3Yokohama


Living quarters 1230 700 3500Percentage 0.3

OsakaHouseholds 1041600 3700Percentage 0.4

Living quarters 1225300 3200Percentage 0.3

SapporoHouseholds 665300 2400


Percentage 0.2Kazakhstan, 1998'·TOTAL

HouseholdsPercentages 100 54.1 42.5 3.3 0.1

URBANHouseholds

Percentages 100 n.3 17.6 5.0 0.1RURALHouseholds

Percentages 100 18.9 BO.5 0.5 0.1Korea, Republic of, 1995TOTAL

Households 12974194 12917216 130n 37648 6253Percentage 100 99.6 0.1 0.3 0.0


36


(See notes at end of table.)Type 0/ living quarters



URBANHouseholds 10043092 9997941 12559 28630 3962


Percentage 100 99.4 0.1 0.4 0.1RURALHouseholds 2931 102 2919275 518 9018 2291Percentage 100 99.6 0.0 0.3 0.1


SEOULHouseholds 2968615 2953243 4332 10345 695


Percentage 100 99.2 0.2 0.5 0.0PusanHouseholds 1080205 1075899 1713 2223 370Percentage 100 99.6 0.2 0.2 0.0


TaeguHouseholds 704312 702071 940 861 440

Percentage 100 99.7 0.1 0.1 0.1Living quarters 427342 425930 272 725 415Percentage 100 99.7 0.1 0.2 0.1

SuweonHouseholds 216765 216111 128 411 115Percentage 100 99.7 0.1 0.2 0.1


Mllaysil· Penlnsullr.1991TOTAL



URBANHouseholds 1954524 1937157 10147 7220Percentage 100 99.1 0.5 0.4


RURALHouseholds 1572151 1553240 12978 5933Percentage 100 98.8 0.8 0.4


W.P. KUALA LUMPURHouseholds 242380 238680 1555 2145Percentage 100 98.5 0.6 0.9


Majlis Perbandaran lpohHouseholds 84762 84510 101 151


GeorgeTownHouseholds 43152 43004 93 55Percentage 100 99.7 0.2 0.1


36

2. Households by type of living quarters: country or area, urbanlrural,clties,latttStavailable year (continued)


Syrien Areb Republic, 1994TOTALHouseholds

URBANHouseholds

RURALHouseholds

DAMASCUSHouseholds

LattakiaHouseholds

HornsHouseholds

AleppoHouseholds

Thellencl,l9t8TOTALHouseholds

URBANHouseholds

RURALHouseholds

Turkey,l994TOTALHouseholds

PercentageURBANHouseholdsPercentage

RURALHouseholdsPercentage

ANKARAHouseholds

PercentageIstanbulHouseholdsPercentage

IzmirHouseholds

PercentageAdanaHouseholdsPercentage

EUROPEAustrIe, 1991TOTALHouseholdsPercentage

URBANHouseholds

PercentageRURALHouseholdsPercentage

WIENHouseholds

PercentageGraz




Conventional Basic dwelling Tempora'Y Marginaldwelling housingumt housing unit

2196084

1 181 158

1014926

271378

132n8

110149

308 551

15002591

3046293

11956299

13382841 12991306 391535100 97.1 2.9

7515762 7169846 345916100 95.4 4.6

5867079 5821460 45619100 99.2 0.8

643500 463125 180375100 72.0 28.0

1 n9870 1737063 42807100 97.6 2.4

496980 462342 34638100 93.0 7.0

229680 228636 1044100 99.5 0.5

3013006 2515579 485n8 11649100 83.5 16.1 0.4

2196 672 1809274 378515 8883100 82.4 17.2 0.4

816334 706305 107263 2766100 86.5 13.1 0.3

746760 558889 186682 1189100 74.8 25.0 0.2

105563 84905 20447 211100 80.4 19.4 0.2

38






DnzHouseholds 89599 78407 10570 622

Percentage 100 87.5 11.8 0.7Salzburg


Belgium, 19916•6

TOTALHouseholds 3953 125 113091

Percentage 2.9Living quarters 3748 164 2147794 1039312 531714 29334 5227

Percentage 100 57.3 27.7 14.2 0.8URBAN


Living quarters 3740nl 2145326 1036 537 529662 29246 5213Percentage 100 57.3 27.7 14.2 0.8

RURALHouseholds 7478 207

Percentage 2.8Living quarters 7393 2468 2n5 2052 98 14

Percentage 100 33.4 37.5 27.8 1.3BRUXELLES

Households 460091 115nPercentage 2.5


AntwerpenHouseholds 220150 4399

Percentage 2.0Living quarters 207730 132936 52303 21503 988 156

Percentage 100 64.0 25.2 10.4 0.5Gent



CharleroiHouseholds 89842 1751

Percentage 100 1.9Living quarters 81044 38802 29081 12815 346 75

Percentage 100 47.9 35.9 15.8 0.4Channel Islands - Guernsey. 1996TOTAL


Croatia, 1991"TOTAL

Households 1544892 1504762 9201 8150 22n9Percentage 100 97.4 0.6 0.6 1.5

URBANHouseholds 878n2 855164

Percentage 97.3RURALHouseholds 666120 649598

Percentage 97.5ZAGREB

Households 252874Split

Households 58763Rijeka

Households 60196

39

2. Households by type of living quarters: country or area, urbanirural,cltles,Jatestavailable year (continued)


4051583 4043250 8333100 99.8 0.2

3705681

3090115 3084245 5870100 99.8 0.2

2846718

961468 959005 2463100 99.7 0.3

858963

547290 545781 1509100 99.7 0.3

495804

165880 165622 258100 99.8 0.2

151 671

134 149 133434 715100 99.5 0.5

125969

72833 72675 158100 99.8 0.2

67900

657000

524800

132200

190000

2247000 2247000100 100

1423000 1423000100 100

824000 824000100 100

272000 272000100 100

92000 92000100 100

84000 84000100 100

87000 87000100 100

OsijekHouseholds

Czech Republic, 199117

TOTALHouseholds


URBANHouseholds


RURALHouseholds


PRAHAHouseholds


BmoHouseholds


OstravaHouseholds


PlzenHouseholdsPercentage

Living quartersEstonia, 1998TOTAL

HouseholdsURBAN


TALLINNHouseholds

Flnland,1998TOTAL


URBANHouseholds

PercentageRURALHouseholdsPercentage

HELSINKIHouseholds

PercentageTampere


EspooHouseholds

PercentageTurku


Total

38362


Housing unitBasic dwelling Temporary

housing unit

40



Not stated

2. HC)U$eholds by type of living quarters: country or area, urban/rural, cities, latestavailable year (continued)





France, 1999 ,.TOTAL

Households 23815164Living quarters 28696 156



PARISHouseholds 3981495Living quarters 7898813

MarseilleHouseholds 528144Living quarters 583025

LyonHouseholds 546082Living quarters 610773

ToulouseHouseholds 327931Living quarters 361766

Germany, 1998"TOTAL

Households 34865300 34591400 15400 258 500Percentage 100 99.2 0.0 0.7

Living quarters 34 541200 34283400 14000 243800Percentage 100 99.3 0.0 0.7

BERLINHouseholds 1718900 1694500 700 23700


HamburgHouseholds 835900 820300 15200


Percentage 100 98.2 1.8Hungary, 199620

TOTALHouseholds 3869480 3863502 5978


Percentage 100 99.9 0.1URBAN


Living quarters 2557109 2554 218 2891Percentage 100 99.9 0.1

RURALHouseholds 1375863 1373021 2842


Percentage 100 99.8 0.2BUDAPESTHouseholds 797545Living quarters 816518 815489 1029

Percentage 100 99.9 0.1Ireland,1996TOTAL

Households 1127318 1033191 81783 8264 4080Percentage 100 91.7 7.3 0.7 0.4

41

2. Households by type of living quarters: country or area, urban/rural, cities, .latestavailable year (continued)




Conventional Basic dwelling Temporal}' Marginaldwelling housing unrt housing unit

URBANHouseholds 672170 590055 n374 1993 2748


Percentage 100 97.4 1.0 1.4 0.3DUBLINHouseholds 173085 125883 46306 244 652

Percentage 100 72.7 26.8 0.1 0.4Cork

Households 41'452 36051 5147 96 158Percentage 100 87.0 12.4 0.2 0.4

LimerickHouseholds 17054 15241 1683 46 84Percentage 100 89.4 9.9 0.3 0.5

GalwayHouseholds 17334 14444 2646 78 166

Percentage 100 83.3 15.3 0.4 1.0Isle of Man, 1996TOTAL

Households 293n 29373 4Percentage 100 100 0.0


Percentage 100 100RURALHouseholds 7754 7750 4

Percentage 100 99.9 0.1DOUGLAS

Households 9512 9512Percentage 100 100

lithuania, 1999TOTAL

Households 1400000Malta, 199521

TOTALHouseholds 119479

VALLETTAHouseholds 2750

Netherlands, 1998TOTAL


URBANLiving quarters 4383700 4381700 700 1000 300Percentage 100 100 0.0 0.0 0.0

RURALLiving quarters 2222300 2217200 0 3800 1300

Percentage 100 99.8 0.0 0.2 0.1AMSTERDAM

Living quarters 392200 392200Percentage 100 100

RotterdamLiving quarters 279800 279800

Percentage 100 100's GravenhageLiving quarters 218600 218600

Percentage 100 100UtrechtLiving quarters 166600 166600

Percentage 100 100

42


(See notes at end 01 table.)Type 01 living quarters




Norway.199CFTOTAL



Percentage 100 100RURAL


OSLOHouseholds 244434 244434

Percentage 100 100Bergen


TrondheimHouseholds 60407 60407Percentage 100 100

StavangerHouseholds 42680 42680

Percentage 100 100Poland,1995TOTAL

Households 12500602URBANHouseholds 8384496


WARSZAWAHouseholds 652432

LodzHouseholds 346898

KrakowHouseholds 269720

WrockawHouseholds 234909

Portugal, 1991TOTAL

Households 3147447 3115122 26983 1167 3658 517Percentage 100 99.0 0.9 0.0 0.1 0.0

Living quarters 3376733 3055504 26334 281564 1308 11306 717Percentage 100 90.5 0.8 8.3 0.0 0.3 0.0


Percentage 100 98.7 1.1 0.0 0.1 0.0Living quarters 1608701 1501870 16864 82044 632 6875 396

Percentage 100 93.4 1.0 5.1 0.0 0.4 0.0RURALHouseholds 1587513 1576010 9518 624 1323 38

Percentage 100 99.3 0.6 0.0 0.1 0.0Living quarters 1768032 1553634 9450 199520 676 4431 321

Percentage 100 87.9 0.5 11.3 0.0 0.3 0.0lISBOA8

Households 244634 236560 7328 105 5n 440Percentage 100 96.7 3.0 0.0 0.2 0.2

liVing quarters 241556 227560 7090 5506 108 1201 71Percentage 100 94.2 2.9 2.3 0.0 0.5 0.0

PortoHouseholds 99324 98121 744 30 428 1

Percentage 100 0.7 0.0 0.4 0.0Living quarters 97349 94669 744 1228 39 656 13

Percentage 100 97.2 0.8 1.3 0.0 0.7 0.0

43





AmandoraHouseholds 43710 42081 1607 6 10 6Percentage 100 96.3 3.7 0.0 0.0 0.0

living quarters 44298 41047 1525 1657 6 57 6Percentage 100 92.7 3.4 3.7 0.0 0.1 0.0

SetubalHouseholds 28084 27767 301 5 10 1

Percentage 100 98.9 1.1 0.0 0.0 0.0Living quarters 28832 27105 288 1379 5 50 5Percentage 100 94.0 1.0 4.8 0.0 0.2 0.0

Slovakia, 1991TOTALHouseholds 1832484

URBANHouseholds 1051856


BRATISLAVAHouseholds ln966

KosiceHouseholds 85420

Spain, 1991TOTALHouseholds 11736376 11736376Percentage 100 100



Percentage 100 100Living quarters 13056 997 13037359 19638Percentage 100 99.8 0.2

RURALHouseholds 2133745 2133 745Percentage 100 100

Living quarters 4188317 4183040 52nPercentage 100 99.9 0.1

MADRIDHouseholds 963909 963909

Percentage 100 100Living quarters 1 173619 1171675 1944Percentage 100 99.8 0.2

BarcelonaHouseholds 572224 572224Percentage 100 100


ValenciaHouseholds 252162 252162Percentage 100 100


SevillaHouseholds 197009 197009Percentage 100 100


Sweden, 1990TOTALHouseholds 3830035 3782801 18566 28668Percentage 100 98.8 0.5 0.7


44



569740 560711 2928100 98.4 0.5

569740 560711 2928100 98.4 0.5

351314 345528 3002100 98.4 0.9

351314 345528 3002100 98.4 0.9

209n9 205243 1692100 97.8 0.8

209779 205243 1692100 97.8 0.8

120464 118544 476100 98.4 0.4

120464 118544 476100 98.4 0.4

72504 71373 472100 98.4 0.7

72504 71373 472100 98.4 0.7

2841850

2058770

783080

69182

189296

90999

85702

20423000 20423000100 100

18911000 18911000100 100

1512000 1512000100 100

2954000 2954000100 100

26486172899961 2686347 199995

100 92.6 6.9

45

Housing unitConventional Basic dwelling Temporary

dwelling housing umtURBAN



RURALHouseholds


PercentageSTOCKHOLM



GoteborgHouseholds


PercentageMalmo



UppsalaHouseholds


PercentageSwitzerland, 1990TOTAL

HouseholdsURBAN


BERNEHouseholds

ZurichHouseholds

GenevaHouseholds

BaleHouseholds

United Kingdom, 1999TOTAL


URBANHouseholds

PercentageRURAL


LONDONHouseholds

PercentageYugoslavia, 1991 23

TOTALHouseholdsLiving quarters

Percentage

Total

3260295100

3260295100

322209098.8

322209098.8

156380.5

156380.5



Not stated

225670.7

225670.7

61011.1

61011.1

27840.8

27840.8

28441.4

28441.4

14441.2

14441.2

6590.9

6590.9

136190.5



URBANLiving quarters

PercentageRURALliving quarters

PercentageBEOGRAD

HouseholdsLiving quarters

PercentageNovi SadHouseholdsLiving quartersPercentage

NisHouseholds

PercentageKragujevacHouseholdsliving quarters

Percentage

Au ra a,TOTAL


SydneyLiving quarters

PercentageMelboumeLiving quarters

PercentageBrisbaneLiving quarters

PercentageAdelaide


Guam,1990TOTAL

HouseholdsLiving quarters

URBANHouseholdsLiving quarters

RURALHouseholdsLiving quarters

DededoHouseholdsliVing quarters

TamuningHouseholdsLiving quarters

YigoHouseholdsLiving quarters

Santa RitaHouseholdsLiving quarters

Tonga, 199624

TOTALHouseholds


Total Collective living


Conventional Basic dwelling Temporary Marginaldwelling housing umt housing unit

1541982 1495332 36051100 97.0 2.3

1357979 1 191015 163 944100 87.7 12.1

390065535809 503077 27073

100 93.9 5.1

6508797542 91475 5317

100 93.8 5.5

56 951100 94.1 5.5

4566661623 57617 3803

100 93.5 6.2

7195170 6906009 113224100 96.0 1.6

1428888 1381804 6515100 96.7 0.5

1236477 1202369 3498100 97.2 0.3

574610 554176 6556100 96.4 1.1

440271 432820 1380100 98.3 0.3

3137335223

1235113805

1902221418

69637541

49826296

33703686

22872343

16194

46

Not stated

105990.7

30200.2

56591.1

7500.8

0.4

2030.3

1759372.4

405692.8

306102.5

138782.4

60711.4



URBANHouseholds

RURALHouseholds

NOTES

Total

3665

12529


Housing unitBasic dwelling Temporal)'

housing umtMarginal

housing unit


Not stated

, Calculated by the United Nations.

2 Includes data for Dakar, the capital.

3 Data for Dakar include satellite towns of Pike and Gue'diawaye.• Port Victoria is the only city and it is an administrative rather than residential area. Greater Victoria comprises Victoria, all central districts and Victoria suburbs.

5 Conventional housing unit refers to a house on separate plot, a flat in blocks of flats, a town! clusterI semi-detached house and to a housing unit in retirementvillage. Basic housing unit refers to a traditional dwelling and to a house! flat! room in backyard. Temporary housing unit refers to an informal dwelling! shack inbackyard and to an informal dwelling! shack elsewhere. Collective living quarters refer to caravans! tents.• Data as reported; the total differs from the sum of categories.7 Data on rural households refer to SI. Andrews City.• Collective living quarters not included in totals shown.• "Washington' includes: District of Columbia and the Maryland counties of Calvert, Charles, Fredrick, MontQOmery and Prince Georges and the Virginia counties ofMinglon, Fairfax, London, Prince William, Stafford plus the city of Alexandria. "Los Angeles" includes: the City of Los Angeles and the balance of Los AngelesCounty. "New York" includes: the city of New York and the counties of Nassau, Orange, Putnam, Rockland, Suffblk and Westchester. "Houston" includes: the city ofHouston and the balance of Harris County, and the counties of Brazoria, Fort Bend, Montgomery and Waller.

I. Conventional housing unit refers to adequate housing unit i.e. a permanent unit equipped with both water supply within the unit and sewage. Basic housing unitrefers to inadequate housing unit i.e. a permanent unit without both water supply within the unit and sewage. Marginal housing unit refers to a particular improVisedunit, I.e. a unit in a structure that is not conducive for habitation and also includes improvised housing units: huts, barracks and any other structure not conducive forhabitation.

11 Data on living quarters refer to occupied quarters only. Data on households in temporary units also include 2,305 domestic households living on board vessels.Data on housel1olds in collective living quarters also include 126 collective households on board vessals.12 Data on temporary housing units refer to both temporary and floating units.

12 Including data for East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967.14 Designation and data provided by Israel. The position of the United Nations on the question of Jerusalem is contained in General Assembly resolution 181 (II) andsubsequent resolutions of the General Assembly and the Security Council conceming these questions.15 Data provided as percentages only.

11 Data on marginal units also include data for mobile units.

17 The population in basic and temporary units is not distinguished. Data on basic housing units also include temporary housing units.

11 Data on households refer to occupied housing units.

11 Data on conventional housing units refer to residential buildings and other buildings with liVing quarters.

20 Data refer to a 2% sample. Data on households in basic housing units also include temporary and marginal units. Data do not include households in collectiveliving quarters.

21 The Population and Housing Census of 26 November 1995 distinguished between private and institutional households. Data in this table refer to private oneperson and multi-person households only.

22 Data refer to conventional housing units and 11 ,n5 households are without information.

23 Data on households refer only to enumerated households... There is no distinction between households and living quarters. Data on urban refer to Nuku'alofa.

47

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year

Technical notes

Definitions

For definition of housing unit refer to technical notes for table 2.

Occupied housing units refer to housing units occupied at the time of the census or survey, that is, units that arenot vacant.

Occupant refers to each person resident in a housing unit.

Room is defined as a space in a housing unit or other living quarters enclosed by walls reaching from the floor tothe ceiling or roof covering, or to a height of at least two meters, of an area large enough to hold a bed for anadult, that is, at least four square meters. Types of rooms include bedrooms, dining rooms, living rooms, studies,habitable attics, servants' rooms, kitchens, rooms used for professional or business purposes, and other separatespaces used or intended for dwelling purposes, so long as they meet the criteria concerning walls and floor space.Passageways, verandas, lobbies, bathrooms and toilet rooms should not be counted as rooms, even if they meetthe criteria.

Number of persons per unit is obtained by dividing the number of occupants by the number of occupied housingunits. The calculations were made by the United Nations.

Number ofpersons per room is derived by dividing the number of occupants by the number of rooms in a givenhousing unit. The number of rooms is obtained by multiplying the number of units by the number of rooms in theunit. The calculations were made by the United Nations.

Coverage

Data are presented for 64 countries or areas and 176 cities. For national definitions of urban and rural, see sectionon General Notes.

Average number of persons per occupied housing unit: selected cities

Alexandria. EgyptBanJUl. Gambia

Port-Louis. MaurRlusToronto. Canada

Mexico CRy, MexicoLeon. Nicaragua

San Juan. Puerto RicoNew York, USA

Sao Paolo, BrazilCall. Colombia

Baku. AzerbaijanKuala Lumpur, Malaysia

Seoul. Korea. Rep. ofHoms. Syrian Arab Republic

Adana. TurkeyLyon. France

Amsterdam, NetherlandsKrakow. Poland

Geneva, SWItzerlandLondon, UK

Beograd. Yugoslaviaa 2 3 4 5 6 7 8

48

Number c:A persons

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year


Number of rooms per housing unit

Total 2 3 4 5 6 7 8+

B8nln,1996Occupied housing units 755165 83561 290902 151160 97971 55914 51412 24245

Burkina Faso, 1991TOTAL

Occupied housing units 1398759Occupants 9190 791Persons per unit 6.6

URBANOccupied housing units 201891Occupants 1287285Persons per unit 6.4

RURALOccupied housing units 1 196 868Occupants 7903506Persons per unit 6.6

OUAGADOUGOUOccupied housing units 101714Occupants 634479Persons per unit 6.2

Bobo DioulassoOccupied housing units 42300Occupants 268926Persons per unit 6.4

KoudougouOccupied housing units 7664Occupants 58838Persons per unit 7.7

OuahigouyaOccupied housing units 6963Occupants 55133Persons per unit 7.9

Congo, 1984TOTAL

Occupied housing units 348998URBAN

Occupied housing units 176203RURAL

Occupied housing units 172795Egypt, 1996'TOTAL

Occupied housing units 12702600 456974 1549331 4146 391 4225359 2324545Occupants 59018241 1574054 6146 225 18235650 19946846 13115466Persons per unit 4.6 3.4 4.0 4.4 4.7 5.6Persons per room 1.3 3.4 2.0 1.5 1.2 1.1

URBANOccupied housing units 5839877 314835 616989 2192105 2017129 698819Occupants 25027253 1100 661 2515848 9342768 8818571 3249405Persons per unit 4.3 3.5 4.1 4.3 4.4 4.6Persons per room 1.3 3.5 2.0 1.4 1.1 0.9

RURALOccupied housing units 6862723 142139 932342 1954 286 2208230 1625726Occupants 33990988 473393 3630377 8892882 11128275 9866061Persons per unit 5.0 3.3 3.9 4.6 5.0 6.1Persons per room 1.4 3.3 1.9 1.5 1.3 1.2

CAIROOccupied housing units 1657081 136166 189604 609200 542780 179331Occupants 6735172 472946 775554 2512981 2249358 724333Persons per unit 4.1 3.5 4.1 4.1 4.1 4.0Persons per room 1.2 3.5 2.0 1.4 1.0 0.8

49

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year (continued)



Total 2 3 4 5 6 7 8+

AlexandriaOccupied housing units 799755 54 371 100497 305752 246676 92459Occupants 3321844 189339 411803 1279081 1042309 399312Persons per unit 4.2 3.5 4.1 4.2 4.2 4.3Persons per room 1.3 3.5 2.0 1.4 1.1 0.9

GizaOccupied housing units 534180 28952 48324 208498 196 016 52390Occupants 2203688 102946 198797 869403 818010 214532Persons per unit 4.1 3.6 4.1 4.2 4.2 4.1Persons per room 1.2 3.6 2.1 1.4 1.0 0.8

Shobra-EI-KhemaOccupied housing units 192448 13111 19961 85221 66642 7513Occupants 869853 48343 88242 389757 304 271 39240Persons per unit 4.5 3.7 4.4 4.6 4.6 5.2Persons per room 1.4 3.7 2.2 1.5 1.1 1.0

Gemble, 1993TOTAL

Occupied housing units 116001 8299 7600 83n 9304 9556 9571 8930 54364Occupants 1029388Persons per unit 8.9Persons per room 1.5

URBANOccupied housing units 54042 6160 5191 5211 5194 4961 4445 3851 19029Occupants 379281Persons per unit 7.0Persons per room 1.3

RURALOccupied housing units 61959 2139 2409 3166 4110 4595 5126 5079 35335Occupants 650 107Persons per unit 10.5Persons per room 1.6

BANJULOccupied housing units 7032 1139 869 795 706 653 537 458 1875Occupants 40550Persons per unit 5.8Persons per room 1.2

Kanifing2Occupied housing units 31426 3141 3028 2971 3018 2893 2667 2309 1968Occupants 225281Persons per unit 7.2Persons per room 2.4

Leeotho,1996'TOTAL

Occupied housing units 370972 123846 115767 59722 32141 39496Occupants 1841967 4n394 583897 344101 190766 245809Persons per unit 5.0 3.9 5.0 5.8 5.9 6.2Persons per room 2.1 3.9 2.5 1.9 1.5 1.2

MASERUOccupied housing units 83961Occupants 137837Persons per unit 1.6

Meurltlus,1990TOTAL

Occupied housing units 215384 13238 38759 37825 54040 29442 23336 8569 10175Occupants 1048088 39023 155219 170449 267418 152867 135426 53692 73994Persons per unit 4.9 2.9 4.0 4.5 4.9 5.2 5.8 6.3 7.3Persons per room 1.2 2.9 2.0 1.5 1.2 1.0 1.0 0.9 0.9

URBANOccupied housing units 90427 5371 14375 16032 21835 14375 10094 3847 4498Occupants 410469 14941 54052 68143 100 514 68489 53325 21729 29276Persons per unit 4.5 2.8 3.8 4.3 4.6 4.8 5.3 5.6 6.5Persons per room 1.1 2.8 1.9 1.4 1.2 1.0 0.9 0.8 0.8

50

3; Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year (continued)

(See notes at the end 01 table.)

RURALOccupied housing unitsOccupantsPersons per unitPersons per room

PORT-LOUISOccupied housing unitsOccupantsPersons per unitPersons per room

Sl Helena, 1998TOTAL

Occupied housing unitsOccupantsPersons per unitPersons per room

Sal18maa,1990TOTAL


URBANOccupied housing unitsOccupantsPersons per unitPersons per room

RURALOccupied housing unitsOccupantsPersons per unitPersons per room

NASSAUOccupied housing unitsOccupantsPersons per unitPersons per room

Freeport, GR. BahamaOccupied housing unitsOccupantsPersons per unitPersons per room

Sermuda,1991'TOTAL


URBANOccupied housing unitsOccupantsPersons per unitPersons per room

HAMILTONOccupied housing unitsOccupantsPersons per unitPersons per room


Total 2 3 4 5 6 7 8+

124957 7867 24384 21793 32205 15067 13242 4722 56n637619 24082 101 167 102306 166904 84378 82101 31963 44718

5.1 3.1 4.1 4.7 5.2 5.6 6.2 6.8 7.91.3 3.1 2.1 1.6 1.3 1.1 1.0 1.0 1.0

28743 2676 64n 6006 7011 2933 2052 693 895132229 7420 24744 26946 34121 15490 12200 4618 6690

4.6 2.8 3.8 4.5 4.9 5.3 5.9 6.7 7.51.3 2.8 1.9 1.5 1.2 1.1 1.0 1.0 0.9

15n 10 40 159 586 460 203 62 574903

3.10.7

61906 4367 8396 15887 13868 8685 4890 4942255049 7472 22327 54845 58283 39523 23594 25848

4.1 1.7 2.7 3.5 4.2 4.6 4.8 5.231.3 1.7 1.3 1.2 1.1 0.9 0.8 0.7

50252 3525 7406 13052 11073 6966 4002 4153213094 6868 18438 45894 47801 32093 19274 21411

4.2 1.9 2.5 3.5 4.3 4.6 4.8 5.21.3 1.9 1.2 1.2 1.1 0.9 0.8 0.6

11654 842 1530 2835 2795 1719 888 78941955 604 3889 8951 10482 7430 4230 4457

3.6 0.7 2.5 3.2 3.8 4.3 4.8 5.61.1 0.7 1.3 1.1 0.9 0.9 0.8 0.7

39864 2725 5257 10783 9022 5503 3247 3327172196 4840 13271 38246 39044 25363 15621 16928

4.3 1.8 2.5 3.5 4.3 4.6 4.8 5.11.3 1.8 1.3 1.2 1.1 0.9 0.8 0.6

10388 800 2149 2269 2051 1463 755 82640898 2028 5167 7648 8757 6730 3653 4483

3.6 2.5 2.4 3.4 4.3 4.6 4.8 5.41.1 2.5 1.2 1.1 1.1 0.9 0.8 0.7

22041 791 2103 3350 4841 4752 620457861 999 2947 6291 12579 14267 20778

2.6 1.3 1.4 1.9 2.6 3.0 3.30.6 1.3 0.7 0.6 0.6 0.6 0.6

22041 791 2103 3350 4841 4752 620457861 999 2947 6291 12579 14267 20n8

2.6 1.3 1.4 1.9 2.6 3.0 3.30.6 1.3 0.7 0.6 0.6 0.6 0.6

387 22 52 82 104 57 70964 35 69 171 278 172 2392.5 1.6 1.3 2.1 2.7 3.0 3.40.6 1.6 0.7 0.7 0.7 0.6 0.6

51




Total 2 3 4 5 6 7 8+

Canada, 1996TOTAL


URBANOccupied housing units 8605820 117 950 254340 818060 1294035 1530930 1342935 1075580 2171990Occupants 22092330 141670 363490 1235400 2474795 3626945 3644155 3208 765 7397115Persons per unit 2.6 1.2 1.4 1.5 1.9 2.4 2.7 3.0 3.4Persons per room 0.5 1.2 0.7 0.5 0.5 0.5 0.5 0.4 0.4

RURALOccupied housing units 1952155 3215 9510 39095 149280 343245 401 525 334 740 671545Occupants 6298350 9115 28835 113790 443670 1138900 1 191325 1046635 2326070Persons per unit 3.2 2.8 3.0 2.9 3.0 3.3 3.0 3.1 3.5Persons per room 0.5 2.8 1.5 1.0 0.7 0.7 0.5 0.4 0.4

OnAWAOccupied housing units 385140 4010 10165 36270 50200 58410 61675 57425 106990Occupants 994 110 4825 13890 52800 95870 136875 166665 168015 355165Persons per unit 2.6 1.2 1.4 1.5 1.9 2.3 2.7 2.9 3.3Persons per room 0.4 1.2 0.7 0.5 0.5 0.5 0.5 0.4 0.4

MontrealOccupied housing units 1341275 16015 39615 126080 264085 312715 216420 143580 222755Occupants 3272810 18325 49025 172915 477710 740675 609685 440955 763520Persons per unit 2.4 1.1 1.2 1.4 1.8 2.4 2.8 3.1 3.4Persons per room 0.5 1.1 0.6 0.5 0.5 0.5 0.5 0.4 0.4

TorontoOccupied housing units 1488375 32643 63490 170600 200335 206920 217260 184185 412940Occupants 4218470 43725 113330 322950 471855 553645 625395 585030 1502535Persons per unit 2.8 1.3 1.8 1.9 2.4 2.7 2.9 3.2 3.6Persons per room 0.5 1.3 0.9 0.6 0.6 0.5 0.5 0.5 0.5

CalgaryOccupied housing units 305310 2805 6915 23820 35115 46855 45330 41600 102865Occupants 813925 3415 9590 34455 66560 111350 120290 122610 345660Persons per unit 2.7 1.2 1.4 1.4 1.9 2.4 2.7 2.9 3.4Persons per room 0.4 1.2 0.7 0.5 0.5 0.5 0.4 0.4 0.4

Costa Rica, 1997TOTAL

Occupied housing units 784 128 14964 31851 78050 186891 245572 226795Occupants 3270700Persons per unit 4.2Persons per room 0.9

URBANOccupied housing units 356 259 4769 12397 32166 72110 114091 120726Occupants 1419407Persons per unit 4.0Persons per room 0.8

RURALOccupied housing units 427869 10195 19459 45884 114781 131481 106069Occupants 1851293Persons per unit 4.3Persons per room 1.0

Greenland,19993

TOTALOccupied housing units 20098 1866 4793 4580 4077 913 192 43 25

URBANOccupied housing units 16686 1702 3752 3746 3677 851 184 19 24

RURALOccupied housing units 3412 164 1041 834 400 62 8 24

NUUK (GODTHAB)Occupied housing units 4871 546 1079 1140 1012 337 95 3 7

52




Total 2 3 4 5 6 7 8+

SisimiutOccupied housing units 1715 160 330 333 393 70 11

lIulisatOccupied housing units 1413 133 297 331 323 50 5 5 3

QaqortoqOccupied housing units 1208 160 252 219 199 52 18 3

Guatemala, 1994TOTAL

Occupied housing units 1553 708Occupants 8293706Persons per unit 5.3

URBANOccupied housing units 577 564Occupants 2893747Persons per unit 5.0

RURALOccupied housing units 976144Occupants 5399959Persons per unit 5.5

GUATEMALAOccupied housing units 169915

QuezaltenangoOccupied housing units 17293

Puerto BarriosOccupied housing units 6710

MazatenangoOccupied housing units 6532

Jamaica, 1991TOTAL

Occupied housing units 588340 165340 143144 127434 73106 38891 18815 14279 7331URBAN

Occupied housing units 353195 103701 80024 75396 44540 23435 11781 9708 4610RURAL

Occupied housing units 235145 61639 63120 52038 28566 15456 7034 4571 2721KINGSTON

Occupied housing units 120003 41025 28130 21329 12753 7553 3754 3323 2136Spanish Town2

Occupied housing units 26666 7784 5662 6429 3681 1553 703 477 1229Portmore

Occupied housing units 22030 2485 2522 9504 5093 1372 533 275 246MontegoBay

Occupied housing units 21316 7088 4741 4131 2459 1571 651 468 207Mexico, 19952

TOTAL'Occupied housing units 19412123 1717 973 3738775 4144488 7176661 2632284Occupants 91 158 290Persons per unit 4.7



CUIDAD DE MEXICOOccupied housing units 3136788 234007 564 699 660616 630976 497063 259994 126668 151341Occupants 16784109Persons per unit 5.4Persons per room 1.4

53

3. Occupied housing units, number of occupants, number of persons per h()u~g.unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year (continued)



Total 2 3 4 5 6 7 8+

GuadalajaraOccupied housing units 5n019 18834 72288 139102 142415 106122 49401 23827 23324Occupants 3450306Persons per unit 6.0Persons per room 0.9

MonterreyOccupied housing units 528651 34843 67432 93551 115994 120502 48736 23316 27180Occupants 2988081Persons per unit 5.7Persons per room 1.4

PueblaOccupied housing units 354 210 28646 66640 74620 67426 61648 27422 12603 14223Occupants 2119129Persons per unit 6.0Persons per room 1.6

Nicaragua. 1995TOTAL2


URBAN2


RURAL2

Occupied housing units 324153 116340 133 866 51823 15027 4386 1534 554 623Occupants 1986293 6406n 820066 358 542 110189 32506 11246 4106 4268Persons per unit 6.1 5.5 6.1 6.9 7.3 7.4 7.3 7.4 6.9Persons per room 3.1 5.5 3.1 2.3 1.8 1.5 1.2 1.1 0.9

MANAGUAOccupied housing units 160811 47685 46426 34669 19230 7872 3057 1058 814Occupants 862240 219964 242882 200438 115827 50046 20275 7265 5543Persons per unit 5.4 4.6 5.2 5.8 6.0 6.4 6.6 6.9 6.8Persons per room 2.2 4.6 2.6 1.9 1.5 1.3 1.1 1.0 0.9

LeonOccupied housing units 21906 6505 6850 4589 2306 916 422 147 171Occupants 123687 32247 37218 27738 14798 6423 2909 1119 1235Persons per unit 5.6 5.0 5.4 6.0 6.4 7.0 6.9 7.6 7.2Persons per room 2.3 5.0 2.7 2.0 1.6 1.4 1.1 1.1 0.9

JinotepeOccupied housing units 4395 534 1345 1087 704 356 200 95 74Occupants 25034 2588 7056 6543 4156 2341 1273 565 512Persons per unit 5.7 4.8 5.2 6.0 5.9 6.6 6.4 5.9 6.9Persons per room 1.8 4.8 2.6 2.0 1.5 1.3 1.1 0.8 0.9

MatagalpaOccupied housing units 10703 2167 3280 2611 1478 626 285 134 122Occupants 59349 10438 17081 14967 9249 3999 1819 946 850Persons per unit 5.5 4.8 5.2 5.7 6.3 6.4 6.4 7.1 7.0Persons per room 2.0 4.8 2.6 1.9 1.6 1.3 1.1 1.0 0.9

Panama, 1990"TOTAL

Occupied housing units 524284 123632 116867 124000 96037 41633 14040 8075Occupants 2301602Persons per unit 4.4

URBANOccupied housing units 295105 59667 55805 68469 64790 29375 10529 6470Occupants 1233342Persons per unit 4.2

54

3. 'j( .Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urban/rural, cities,latest available year (continued)



Total 2 3 4 5 6 7 8+

RURALOccupied housing units 229179 63965 61062 55531 31247 12258 3511 1605Occupants 1068260Persons per unit 4.7

PANAMAOccupied housing units 105409 22545 21302 22132 21450 10290 4537 3153Occupants 402530Persons per unit 3.8

San MiguelitoOccupied housing units 51645 10347 8135 12495 13802 5010 1313 543Occupants 242850Persons per unit 4.7

ColonOccupied housing units 15471 8632 3947 1869 587 260 105 71Occupants 53638Persons per unit 3.5

DavidOccupied housing units 23741 3017 4035 6263 5846 2993 1000 587Occupants 101246Persons per unit 4.3

Puerto Rico. 1990TOTAL

Occupied housing units 1054 924 15151 35964 99448 204 768 352418 226469 81760 38946Occupants 3487667 27026 81210 263139 615569 1212355 814097 314816 159455Persons per unit 3.3 1.8 2.3 2.6 3.0 3.4 3.6 3.9 4.1Persons per room 0.7 1.8 1.1 0.9 0.8 0.7 0.6 0.6 0.5


RURALOccupied housing units 286274 3949 10949 28590 67457 101020 51238 15979 7092Occupants 1007067Persons per unit 3.5Persons per room 0.7

SANJUANOccupied housing units 150 592 3969 7341 18312 28039 40738 30658 13238 8297Occupants 429112 5783 13n8 387n 73345 123845 96959 45382 31243Persons per unit 2.8 1.5 1.9 2.1 2.6 3.0 3.2 3.4 3.8Persons per room 0.6 1.5 0.9 0.7 0.7 0.6 0.5 0.5 0.5

BayamonOccupied housing units 65785 690 1618 4812 8546 20224 19488 7856 2551Occupants 216438 1122 3292 12990 24965 66238 67165 30019 10607Persons per unit 3.3 1.6 2.0 2.7 2.9 3.3 3.4 3.8 4.2Persons per room 0.6 1.6 1.0 0.9 0.7 0.7 0.6 0.5 0.5

PonceOccupied housing units 54191 715 1750 5525 9888 17009 11933 4789 2582Occupants 185217 1343 3946 14728 30885 60666 44157 18797 10695Persons per unit 3.4 1.9 2.3 2.7 3.1 3.6 3.7 3.9 4.1Persons per room 0.7 1.9 1.1 0.9 0.8 0.7 0.6 0.6 0.5

CarolinaOccupied housing units 54466 1082 1509 4481 7878 17840 14492 5346 1838Occupants 176099 1751 3282 11356 22602 58534 50280 20838 7456Persons per unit 3.2 1.6 2.2 2.5 2.9 3.3 3.5 3.9 4.1Persons per room 0.6 1.6 1.1 0.8 0.7 0.7 0.6 0.6 0.5

Saint Lucia, 1999TOTAL

Occupants 33079 2200 8084 7n6 7611 4519 1797 1092CASTRIES

Occupants 13179 905 3117 3291 2941 1719 721 485

55




Total 2 3 4 5 6 7 8+

Vieux-FortOccupants 3097 223 655 823 762 375 155 104

SoufriereOccupants 1905 125 391 385 470 362 117 55

Gros IsletOccupants 3656 163 803 903 891 526 206 164

United StatesTOTAL,1997

Occupied housing units 99487000 328000 951000 9399000 19038000 21760000 19885000 13113000 15014000Occupants 257542000Persons per unit 2.6Persons per room 0.5



WASHINGTON D.C.• 1993Occupied housing units 1 519200 12300 21900 133200 209700 215800 223400 206600 496200Occupants 3928100Persons per unit 2.6Persons per room 0.4

New York. 1991Occupied housing units 4156100 74200 182600 816800 918200 724600 635400 384 200 420500Occupants 10883900Persons per unit 2.6Persons per room 0.5

Los Angeles, 1995Occupied housing units 2947500 40700 95400 430300 666900 602800 550100 296100 265100Occupants 8629600Persons per unit 2.9Persons per room 0.6

Houston, 1991Occupied housing units 1264200 2400 4600 137200 234000 284000 262400 155800 183700Occupants 3416800Persons per unit 2.7Persons per room 0.5


Occupied housing units 8532916Occupants 32615528Persons per unit 3.8



BUENOS AIRESOccupied housing units 3269316Occupants 11298030Persons per unit 3.5

56




Total 2 3 4 5 6 7 8+

CordobaOccupied housing units 316195Occupants 1208 554Persons per unit 3.8

RosarioOccupied housing units 326673Occupants 1118905Persons per unit 3.4

La PlataOccupied housing units 190358Occupants 642979Persons per unit 3.4

Brazll,l9982

TOTALOccupied housing units 41839703 454419 1404057 3558364 6483092 10284 440 8113403 4850069 6675959Occupants 158018945 1 189975 4346340 11814609 22966296 38380 871 32205467 19751644 27304694Persons per unit 3.8 2.6 3.1 3.3 3.5 3.7 4.0 4.1 4.1Persons per room 0.7 2.6 1.5 1.1 0.9 0.7 0.7 0.6 0.5

URBANOccupied housing units 33993829 370912 1132765 2842581 5117311 8504 573 6411133 3921536 5678689Occupants 125764027 969657 3509301 9247255 17487213 31014430 24952696 15628734 22901886Persons per unit 3.7 2.6 3.1 3.3 3.4 3.6 3.9 4.0 4.0Persons per room 0.7 2.6 1.5 1.1 0.9 0.7 0.6 0.6 0.5

RURALOccupied housing units 7845874 83507 271292 715783 1365781 1 n9867 1702270 928533 997270Occupants 32254 918 220318 837039 2567354 5479083 7366441 7252nl 4122910 4402808Persons per unit 4.1 2.6 3.1 3.6 4.0 4.1 4.3 4.4 4.4Persons per room 0.8 2.6 1.5 1.2 1.0 0.8 0.7 0.6 0.6

BRASILIA, OFOccupied housing units 506 538 12364 28284 38760 73105 103 076 81486 58652 110811Occupants 1927737 26619 86111 129050 239440 395543 342705 240506 467763Persons per unit 3.8 2.2 3.0 3.3 3.3 3.8 4.2 4.1 4.2Persons per room 0.7 2.2 1.5 1.1 0.8 0.8 0.7 0.6 0.5

Sao PaoloOccupied housing units 4653683 39030 232465 754661 902122 1097250 636704 343499 646218Occupants 17119420 111026 730362 2486029 3234 627 4185283 2447863 1340181 2579713Persons per unit 3.7 2.8 3.1 3.3 3.6 3.8 3.8 3.9 4.0Persons per room 0.7 2.8 1.6 1.1 0.9 0.8 0.6 0.6 0.5

Rio de JaneiroOccupied housing units 3167596 29559 87524 235895 659010 1089673 500800 241 120 318221Occupants 10382082 68974 206 337 693794 1 919644 3758234 1821765 815513 1078116Persons per unit 3.3 2.3 2.4 2.9 2.9 3.4 3.6 3.4 3.4Persons per room 0.6 2.3 1.2 1.0 0.7 0.7 0.6 0.5 0.4

Belo HorizonteOccupied housing units 1045310 9708 34107 88125 159326 203142 175006 137907 237989Occupants 3978856 21904 104 559 284792 556870 762753 684861 570822 992295Persons per unit 3.8 2.3 3.1 3.2 3.5 3.8 3.9 4.1 4.2Persons per room 0.7 2.3 1.5 1.1 0.9 0.8 0.7 0.6 0.5

Colombia, 19935, "TOTAL

Occupied housing units 7159842 954973 1609241 1503295 1367374 8n962 846997Occupants 32123605 3310855 6970697 6950 144 6382058 4210011 4299840Persons per unit 4.5 3.5 4.3 4.6 4.7 4.8 5.1Persons per room 1.4 3.5 2.2 1.5 1.2 1.0 0.8

URBANOccupied housing units 5384656 733365 1044010 1016164 1087958 753764 749395Occupants 23304 736 23n 107 4260521 4465908 4901265 3536635 3763300Persons per unit 4.3 3.2 4.1 4.4 4.5 4.7 5.0Persons per room 1.3 3.2 2.0 1.5 1.1 0.9 0.8

57

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room~ number of rooms: country or area, urban/rural, cities,latest available year (continue)



Total 2 3 4 5 6 7 8+

RURALOccupied housing units 1 n5186 221608 565231 487131 279416 124198 97602Occupants 8818869 933748 2710176 2484236 1480793 673376 536540Persons per unit 5.0 4.2 4.8 5.1 5.3 5.4 5.5Persons per room 1.7 4.2 2.4 1.7 1.3 1.1 0.9

BOGOTAOccupied housing units 1255108 223502 272131 213101 242696 145400 152278Occupants 4934 591 672785 1028284 850750 995505 631242 756025Persons per unit 3.9 3.0 3.8 4.0 4.1 4.3 5.0Persons per room 1.2 3.0 1.9 1.3 1.0 0.9 0.8

CaliOccupied housing units 404805 62429 66125 65818 83988 64263 62182Occupants 1666378 189011 257276 2n682 355192 288353 298864Persons per unit 4.1 3.0 3.9 4.2 4.2 4.5 4.8Persons per room 1.2 3.0 1.9 1.4 1.1 0.9 0.8

MedellinOccupied housing units 388688 34896 56370 67372 79002 68424 82634Occupants 1621489 112052 212685 271009 327987 297997 399759Persons per unit 4.2 3.2 3.8 4.0 4.2 4.4 4.8Persons per room 1.1 3.2 1.9 1.3 1.0 0.9 0.8

BarranquillaOccupied housing units 201394 20983 33235 38325 42372 33587 32892Occupants 988657 75142 145182 185695 217205 1n766 187667Persons per unit 4.9 3.6 4.4 4.8 5.1 5.3 5.7Persons per room 1.3 3.6 2.2 1.6 1.3 1.1 1.0

Uruguay, 1996TOTAL

Occupied housing units 938n5 98707 186676 306665 204225 87388 32136 12309 10669Occupants 3110948 266019 544954 992090 737302 336901 130396 51361 51925Persons per unit 3.3 2.7 2.9 3.2 3.6 3.9 4.1 4.2 4.9Persons per room 1.0 2.7 1.5 1.1 0.9 0.8 0.7 0.6 0.6

URBANOccupied housing units 855207 87708 169n9 283358 187345 78961 28482 10805 8769Occupants 2836008 239616 493 914 913717 676295 306 145 116498 45626 44197Persons per unit 3.3 2.7 2.9 3.2 3.6 3.9 4.1 4.2 5.0Persons per room 1.0 2.7 1.5 1.1 0.9 0.8 0.7 0.6 0.6

RURALOccupied housing units 83568 10999 16897 23307 16880 8427 3654 1504 1900Occupants 274940 26403 51040 78373 61007 30756 13898 5735 7728Persons per unit 3.3 2.4 3.0 3.4 3.6 3.6 3.8 3.8 4.1Persons per room 1.0 2.4 1.5 1.1 0.9 0.7 0.6 0.5 0.5

MONTEVIDEOOccupied housing units 397689 35300 83268 135346 83358 35667 14047 5682 5021Occupants 12822n 93699 2253n 419465 294922 137750 57767 24927 28370Persons per unit 3.2 2.7 2.7 3.1 3.5 3.9 4.1 4.4 5.7Persons per room 1.0 2.7 1.4 1.0 0.9 0.8 0.7 0.6 0.7

PaysanduOccupied housing units 20561 2210 3503 6316 4855 2345 801 303 228Occupants 73737 6821 11476 22175 18248 9412 3332 1210 1063Persons per unit 3.6 3.1 3.3 3.5 3.8 4.0 4.2 4.0 4.7Persons per room 1.1 3.1 1.6 1.2 0.9 0.8 0.7 0.6 0.6

RiveraOccupied housing units 18010 1725 3166 5627 4336 1909 751 278 218Occupants 62391 4n8 9783 19298 16025 7468 3025 1142 872Persons per unit 3.5 2.8 3.1 3.4 3.7 3.9 4.0 4.1 4.0Persons per room 1.0 2.8 1.5 1.1 0.9 0.8 0.7 0.6 0.5

SaitoOccupied housing units 23411 2083 3505 7647 6115 2523 848 407 283Occupants 92030 7361 13044 28418 25407 10896 3768 1758 1378Persons per unit 3.9 3.5 3.7 3.7 4.2 4.3 4.4 4.3 4.9Persons per room 1.2 3.5 ~.9 1.2 1.0 0.9 0.7 0.6 0.6

68




Total 2 3 4 5 6 7 8+

e ,1998TOTAL

Occupied housing units 1479504 233194 6045n 463460 178273Occupants 7291022 732985 2680329 2645262 1232446Persons per unit 4.9 3.1 4.4 5.7 6.9Persons per room 2.1 3.1 2.2 1.9 1.7

URBANOccupied housing units 897283 153 252 377750 290395 75886Occupants 3924910 396469 1471965 1 541 564 514912Persons per unit 4.4 2.6 3.9 5.3 6.8Persons per room 1.9 2.6 1.9 1.8 1.7

RURALOccupied housing units 582221 79942 226827 173065 102387Occupants 3366112 336 516 1208 364 1103698 717534Persons per unit 5.8 4.2 5.3 6.4 7.0Persons per room 2.3 4.2 2.7 2.1 1.8

BAKUOCCupied housing units 467432 n736 199287 152823 37586Occupants 1721372' 163942 628894 709050 219486Persons per unit 3.7 2.1 3.2 4.6 5.8Persons per room 1.6 2.1 1.6 1.5 1.5

GiandjaOccupied housing units 62441 17731 23748 14924 6038Occupants 279043 52790 98738 85192 42323Persons per unit 4.5 3.0 4.2 5.7 7.0Persons per room 2.1 3.0 2.1 1.9 1.8

SumgaitOccupied housing units" 76568 18284 29315 25411 2558OCCupants 320731 48589 125355 130812 15975Persons per unit 4.2 2.7 4.3 5.1 6.2Persons per room 2.0 2.7 2.1 1.7 1.6

MingechevizOccupied housing units 19894 2658 7574 6767 2895Occupants 86294 5594 26026 32110 22564Persons per unit 4.3 2.1 3.4 4.7 7.8Persons per room 1.7 2.1 1.7 1.6 1.9

China-Hong Kong SAR, 19968

TOTALOccupied housing units 1781835Occupants 6217 556Persons per unit 3.5

China-Macau SAR, 19967

TOTALOccupied housing units 113044 3033 13687 70737 20495 3508 1584Occupants 400869 7278 40 107 248997 82290 14143 8054Persons per unit 3.5 2.4 2.9 3.5 4.0 4.0 5.1Persons per room 1.1 2.4 1.5 1.2 1.0 0.8 0.8

Cypru8,1992"TOTAL

Occupied housing units 183743 1520 7713 15267 32318 49319 52950 17302 7102Occupants 596223 1993 11966 29280 87513 170099 200 181 66560 28003Persons per unit 3.2 1.3 1.6 1.9 2.7 3.4 3.8 3.8 3.9Persons per room 0.6 1.3 0.8 0.6 0.7 0.7 0.6 0.5 0.5

URBANOccupied housing units 124312 587 3817 8802 20702 336n 38 012 12914 5603Occupants 402862 730 5675 16217 55368 113084 140 102 48960 22260Persons per unit 3.2 1.2 1.5 1.8 2.7 3.4 3.7 3.8 4.0Persons per room 0.6 1.2 0.7 0.6 0.7 0.7 0.6 0.5 0.5

59




Total 2 3 4 5 6 7 8+


NICOSIAOccupied housing units 54668 199 1417 3291 8041 14108 16807 7615 3128Occupants 175310 233 2038 5489 20904 45487 60415 28497 12079Persons per unit 3.2 1.2 1.4 1.7 2.6 3.2 3.6 3.7 3.9Persons per room 0.6 1.2 0.7 0.6 0.6 0.6 0.6 0.5 0.5

LimassolOccupied housing units 41614 194 1240 3584 7139 11914 13296 2804 1400Occupants 135469 243 1896 7049 19639 40557 49590 10656 5740Persons per unit 3.3 1.3 1.5 2.0 2.8 3.4 3.7 3.8 4.1Persons per room 0.6 1.3 0.8 0.7 0.7 0.7 0.6 0.5 0.5

LamakaOccupied housing units 18260 89 699 1079 3879 5234 4934 1561 705Occupants 59832 115 972 1903 10246 18454 18822 6215 2946Persons per unit 3.3 1.3 1.4 1.8 2.6 3.5 3.8 4.0 4.2Persons per room 0.6 1.3 0.7 0.6 0.7 0.7 0.6 0.6 0.5

PatosOccupied housing units 9nO 105 461 848 1643 2421 2975 934 370Occupants 32251 139 769 ln6 4579 8586 11275 3592 1501Persons per unit 3.3 1.3 1.7 2.1 2.8 3.5 3.8 3.8 4.1Persons per room 0.7 1.3 0.8 0.7 0.7 0.7 0.6 0.5 0.5

Iran, 1996" 7

TOTALOccupied housing units 10nO 112 466 713 1798 996 2637365 2695961 1757145 1346564

URBANOccupied housing units 6913730 190446 947709 1575109 1872056 1281285 1005136

RURALOccupied housing units 3856382 276267 851287 1062256 823905 475860 341428

Israel, 19951,"TOTAL

Occupied housing units 1 587000 69460 265575 602855 419045 155815 70950URBAN

Occupied housing units 1490525 63225 251190 5n620 395060 141485 58955RURAL

Occupied housing units 96475 6235 14385 25235 23985 14330 11995JERUSALEM"

Occupied housing units 158055 13845 34295 57115 37810 11 115 3875Tel Aviv-Jaffa

Occupied housing units 92435 3575 18035 38090 22015 7855 2865Haifa

Occupied housing units 149185 11790 40085 59005 26535 9525 2245Rishon L'Zion

Occupied housing units 47820 725 4115 15965 17655 6910 2450Japan, 19932

TOTALOccupied housing units 40773300 2492600 3571400 6095900 7678000 6188 100 5385900 3553700 5101600

URBANOccupied housing units 32941900 2379200 3280 100 5362000 6602900 4913500 4062300 2508500 3145300

TOKYOOccupied housing units 3300 100 526100 583400 673200 597600 290300 190800 108100 108600

YokohamaOccupied housing units 1111600 93800 133400 211900 287500 167400 106 900 54600 40700

OsakaOccupied housing units 1038 200 128000 178600 207700 251100 117500 66500 29600 38200

SapporoOccupied housing units 660800 49300 83500 137400 117200 102300 79600 39000 28300

60




Total 2 3 4 5 6 7 8+

Korea, Republic of, 1995TOTAL

Occupied housing units 9204 929 86530 620972 2458382 3512023 959165 461458 250851 855548Occupants 43256858Persons per unit 4.7Persons per room 1.1

URBANOccupied housing units 6562695 50216 269186 15n01O 2626393 653 714 370756 214693 800727Occupants 34087101Persons per unit 5.2Persons per room 1.2

RURALOccupied housing units 2642234 36314 351786 881372 885630 305451 90702 36158 54 821Occupants 9169757Persons per unit 3.5Persons per room 0.9

SEOULOccupied housing units 1688111 12322 72954 406646 591336 173189 93543 55949 282172Occupants 9973958Persons per unit 5.9Persons per room 1.3

PusanOccupied housing units 659924 7306 37810 144396 232726 61588 44788 30869 100441Occupants 3712976Persons per unit 5.6Persons per room 1.2

TaeguOccupied housing units 425930 3296 16937 83589 128837 59797 35003 18542 79929Occupants 2384635Persons per unit 5.6Persons per room 1.1

SuwonOccupied housing units 130275 640 2594 34865 53915 9503 5192 3828 19738Occupants 728420Persons per unit 5.9Persons per room 0.8

Malaysia - Peninsular,1991TOTAL



RURALOccupied housing units 1 574198Occupants 8351423Persons per unit 5.3

W.P. KUALA LUMPUROccupied housing units 237189Occupants 1100945Persons per unit 4.6

Majlis Perbandaran lpohOccupied housing units 82061Occupants 495175Persons per unit 6.0

GeorgeTownOccupied housing units 37945Occupants 290 362Persons per unit 7.7

61




Total 2 3 4 5 6 7 8+

Majlis Perbandaran JohorBharu


Malaysia - Sabah. 1991KOTA KINABALU


TawauOccupied housing units 44 553Occupants 243332Persons per unit 5.5

SandakanOccupied housing units 38164Occupants 222402Persons per unit 5.8

KeningauOccupied housing units 16912Occupants 88285Persons per unit 5.2

Pakistan. 1998"TOTAL

Occupied housing units 19344232 7295924 6032715 3127512 1612469 610132 665480Occupants 126154 097 36917187 39323972 23538 142 13567995 5582591 7224210Persons per unit 6.5 5.1 6.5 7.5 8.4 9.1 10.9Persons per room 3.0 5.1 3.3 2.5 2.1 1.8 1.8

URBANOccupied housing units 6240469 1878506 1993400 1 197922 629919 253672 287050Occupants 41223973 9809740 12852326 8532332 4982047 2151806 2895722Persons per unit 6.6 5.2 6.4 7.1 7.9 8.5 10.1Persons per room 2.8 5.2 3.2 2.4 2.0 1.7 1.7

RURALOccupied housing units 13103763 5417418 4039315 1929590 982550 356460 378430Occupants 84930124 27107447 26471646 15005810 8585948 3430785 4328488Persons per unit 6.5 5.0 6.6 7.8 8.7 9.6 11.4Persons per room 3.1 5.0 3.3 2.6 2.2 1.9 1.9

ISLAMABADOccupied housing units 86575 13920 25240 21611 10958 5908 8938Occupants 524359 61549 150188 133447 73129 39545 66 501Persons per unit 6.1 4.4 6.0 6.2 6.7 6.7 7.4Persons per room 2.0 4.4 3.0 2.1 1.7 1.3 1.2

Syrian Arab Republic. 1994"TOTAL

Occupied housing units 2056829 138469 508 308 687666 442419 197220 76414 22415 26242Occupants 13685200 610183 2994485 4226301 3147659 1490437 648381 210978 305984Persons per unit 6.7 4.4 5.9 6.1 7.1 7.6 8.5 9.4 11.7Persons per room 2.0 4.4 2.9 2.0 1.8 1.5 1.4 1.3 1.5

URBANOccupied housing units 1091741 56548 226975 391573 263 426 124360 46735 13630 14212Occupants 6829345 249300 1258014 2 on 245 1714269 853699 362659 118080 168129Persons per unit 6.3 4.4 5.5 5.3 6.5 6.9 7.8 8.7 11.8Persons per room 1.8 4.4 2.8 1.8 1.6 1.4 1.3 1.2 1.5


62




Total 2 3 4 5 6 7 8+

DAMASCUSOccupied housing units 233859 12997 45047 66411 55167 31702 12629 3825 4297Occupants 1384017 52066 227086 376071 335127 201347 94707 33324 53352Persons per unit 5.9 4.0 5.0 5.7 6.1 6.4 7.5 8.7 12.4Persons per room 1.7 4.0 2.5 1.9 1.5 1.3 1.2 1.2 1.6

LattakiaOccupied housing units 129784 9342 26934 41126 31736 13403 4197 1203 1518Occupants 741372 36425 136402 232833 195645 86647 29855 9109 12611Persons per unit 5.7 3.9 5.1 5.7 6.2 6.5 7.1 7.6 8.3Persons per room 1.7 3.9 2.5 1.9 1.5 1.3 1.2 1.1 1.0

HomsOccupied housing units 179387 9062 38166 54166 44628 21204 7302 1918 2422Occupants 1205785 39597 225056 355806 314631 158339 62062 18560 28297Persons per unit 6.7 4.4 5.9 6.6 7.1 7.5 8.5 9.7 11.7Persons per room 2.0 4.4 2.9 2.2 1.8 1.5 1.4 1.4 1.5

AleppoOccupied housing units 458 237 35416 124068 147711 87438 37613 16696 4697 3435Occupants 2959053 162419 742558 968278 605675 270986 124592 37589 39401Persons per unit 6.4 4.6 6.0 6.6 6.9 7.2 7.5 8.0 11.5Persons per room 2.1 4.6 3.0 2.2 1.7 1.4 1.2 1.1 1.4

Thailand,l996'TOTAL

Occupied housing units 15002591 688500 5837436 5684 586 2139270 652475URBAN

Occupied housing units 3046293 171113 1 141064 854456 592836 286822RURAL

Occupied housing units 11956 299 517387 4696371 4830130 1546434 365653Turkev, 1994"TOTAL

Occupied housing units 13382841 165665 1723415 5493443 4803300 746633 181 180 40267 153 969Occupants 59487116 647279 7382608 23726651 21499016 3735248 1030493 198473 910471Persons per unit 4.4 3.9 4.3 4.3 4.5 5.0 5.7 4.9 5.9Persons per room 1.3 3.9 2.1 1.4 1.1 1.0 0.9 0.7 0.7

URBANOccupied housing units 7515762 68528 832279 3299030 2886322 274542 56 511 11541 58794Occupants 31860059 267032 3480527 13724843 12240346 1323821 325375 50091 333915Persons per unit 4.2 3.9 4.2 4.2 4.2 4.8 5.8 4.3 5.7Persons per room 1.3 3.9 2.1 1.4 1.1 1.0 1.0 0.6 0.7

RURALOccupied housing units 5867079 97137 891136 2194 413 1916978 472091 124669 28726 95175Occupants 27627057 380247 3902081 10001808 9258 670 2411427 705118 148 382 576556Persons per unit 4.7 3.9 4.4 4.6 4.8 5.1 5.7 5.2 6.1Persons per room 1.4 3.9 2.2 1.5 1.2 1.0 0.9 0.7 0.8

ANKARAOccupied housing units 643500 1950 52650 229125 335400 13650 975 9750Occupants 2669550 10725 193050 939900 1414725 58500 4875 47n5Persons per unit 4.1 5.5 3.7 4.1 4.2 4.3 5.0 4.9Persons per room 1.2 5.5 1.8 1.4 1.1 0.9 0.8 0.6

IstanbulOccupied housing units 1 n9870 11265 168 975 840369 648864 60831 22530 18024Occupants 7362804 45060 669141 3361476 2728383 313167 141939 76602Persons per unit 4.1 4.0 4.0 4.0 4.2 5.1 6.3 4.3Persons per room 1.2 4.0 2.0 1.3 1.1 1.0 1.1 0.5

IzmirOccupied housing units 496980 3765 56475 210087 203210 10542 3012 3012Occupants 1902831 13554 213171 792156 755259 42168 13554 24096Persons per unit 3.8 3.6 3.8 3.8 3.7 4.0 4.5 8.0Persons per room 1.1 3.6 1.9 1.3 0.9 0.8 0.8 1.0

AdanaOccupied housing units 229680 4176 28884 123888 65424 6264 348 348Occupants 1018248 14616 125280 550 188 288840 32364 1740 2088Persons per unit 4.4 3.5 4.3 4.4 4.4 5.2 5.0 6.0Persons per room 1.4 3.5 2.2 1.5 1.1 1.0 0.8 0.8

63

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urbanlrural,cities,latest available year (continued)



Total 2 3 4 5 6 7 8+

Austr a, 199TOTAL

Occupied housing units 3223400 278000 721600 955000 624200 343400 168600 72900 59800Occupants 7947500 393500 1264 500 2236000 1811000 1123900 613800 275700 229200Persons per unit 2.5 1.4 1.8 2.3 2.9 3.3 3.6 3.8 3.8Persons per room 0.7 1.4 0.9 0.8 0.7 0.7 0.6 0.5 0.5

URBANOccupied housing units 2549300 263800 641400 795200 457400 218600 100 900 38000 33900Occupants 5864800 374900 1116400 1840500 12n2OO 680300 337800 125500 112300Persons per unit 2.3 1.4 1.7 2.3 2.8 3.1 3.3 3.3 3.3Persons per room 0.7 1.4 0.9 0.8 0.7 0.6 0.6 0.5 0.4


Belgium, 1991TOTAL

Occupied housing units 3748164 37522 381781 795963 1074396 723310 393183 187956 154053Occupants 9492536Persons per unit 2.5Persons per room 0.6



BRUXELLESOccupied housing units 394468 10192 105981 122043 69415 36688 21736 12759 15654Occupants 835465Persons per unit 2.1Persons per room 0.6

AntwerpenOccupied housing units 96 526 1301 13440 23697 24354 16426 9215 4325 3nlOccupants 217112Persons per unit 2.2Persons per room 0.6

GentOccupied housing units 207730 2654 43267 68471 46544 22449 11791 6213 6341Occupants 443479Persons per unit 2.1Persons per room 0.6

CharleroiOccupied housing units 81044 1685 9125 20863 24858 13622 6242 2617 2032Occupants 188924Persons per unit 2.3Persons per room 0.6

BUlgaria, 19927

TOTALOccupied housing units 2773833 293508 824788 880721 466057 186201 122558Occupants 8390 245 663076 2339219 2725039 1 516446 661387 485078Persons per unit 3.0 2.3 2.8 3.1 3.3 3.6 4.0Persons per room 1.0 2.3 1.4 1.0 0.8 0.7 0.7

URBANOccupied housing units 1830094 247488 664813 584 589 224179 66300 42725Occupants 5634384 557020 1943838 1922570 784668 250 588 175700Persons per unit 3.1 2.3 2.9 3.3 3.5 3.8 4.1Persons per room 1.2 2.3 1.5 1.1 0.9 0.8 0.7

64




Total 2 3 4 5 6 7 8+

RURALOccupied housing units 943739 46020 159975 296132 241878 119901 79833Occupants 2755861 106056 395381 802469 731 n8 410799 309378Persons per unit 2.9 2.3 2.5 2.7 3.0 3.4 3.9Persons per room 0.8 2.3 1.2 0.9 0.8 0.7 0.6

Channel Islands - .Guemsey,1996TOTAL


Croatia, 1991'TOTAL

Occupied housing units 1457370 208959 517416 402672 187707 140616Occupants 4681715 459518 1508018 1403875 724941 585363Persons per unit 3.2 2.2 2.9 3.5 3.9 4.2Persons per room 1.2 2.2 1.5 1.2 1.0 0.8

URBANOccupied housing units 826845Occupants 2548076 300847 928810 766391 322180 229848Persons per unit 3.1

RURALOccupied housing units 630525Occupants 2133 639 158674 579208 637484 402761 355515Persons per unit 3.4

ZAGREBOccupied housing units 238542Occupants 694889 114253 288623 181086 67366 43561Persons per unit 2.9

SplitOccupied housing units 54215Occupants 185493 19810 74010 69270 17981 4922Persons per unit 3.4

RijekaOccupied housing units 55570Occupants 164 781 19482 58156 59504 21653 5986Persons per unit 3.0

OsijekOccupied housing units 36241Occupants 103337 17182 37933 27171 11674 93nPersons per unit 2.9

Czech Republic, 1991'TOTAL

Occupied housing units 3705681 572803 1171027 1272602 427053 262196Occupants 10238 057 866194 2765264 4042559 1515140 1048900Persons per unit 2.8 1.5 2.4 3.2 3.5 4.0Persons per room 1.0 1.5 1.2 1.1 0.9 0.8

URBANOccupied housing units 2846718 487987 938 011 993726 276295 150 699Occupants 7704 745 731238 2232923 3174468 977030 589086Persons per unit 2.7 1.5 2.4 3.2 3.5 3.9Persons per room 1.1 1.5 1.2 1.1 0.9 0.8

RURALOccupied housing units 858963 84816 233016 278876 150758 111497Occupants 2533312 134956 532341 868091 538110 459614Persons per unit 2.9 1.6 2.3 3.1 3.6 4.1Persons per room 1.0 1.6 1.1 1.0 0.9 0.8

PRAHAOccupied housing units 495804 143498 154 661 152542 33146 11957Occupants 1209206 225428 351875 472593 115324 43986Persons per unit 2.4 1.6 2.3 3.1 3.5 3.7Persons per room 1.1 1.6 1.1 1.0 0.9 0.7

65




Total 2 3 4 5 6 7 8+

BmoOccupied housing units 151671 30308 53398 49333 13298 5334Occupants 386697 43n2 121 903 153 817 47015 20190Persons per unit 2.5 1.4 2.3 3.1 3.5 3.8Persons per room 1.1 1.4 1.1 1.0 0.9 0.8

OstravaOccupied housing units 125969 20531 48nl 45807 7425 3435Occupants 324410 27413 111781 147152 25529 12535Persons per unit 2.6 1.3 2.3 3.2 3.4 3.6Persons per room 1.1 1.3 1.1 1.1 0.9 0.7

PlzenOccupied housing units 67900 14913 23640 21818 6180 1349Occupants 172353 21426 56260 67333 22378 4956Persons per unit 2.5 1.4 2.4 3.1 3.6 3.7Persons per room 1.1 1.4 1.2 1.0 0.9 0.7

Finland, 19982. ,.TOTAL

Occupied housing units 2247206 319228 680003 518809 424938 200290 53 569 25778Occupants 5063690 397893 1130401 1283545 1260263 663144 185506 93378Persons per unit 2.3 1.2 1.7 2.5 3.0 3.3 3.5 3.6Persons per room 0.8 1.2 0.8 0.8 0.7 0.7 0.6 0.5

URBANOccupied housing units 1422984 228714 475441 340082 232895 97851 25438 10814Occupants 3033425 274804 766 669 837351 6906n 318203 85597 37061Persons per unit 2.9 1.2 1.6 2.5 3.0 3.3 3.4 3.4Persons per room 0.8 1.2 0.8 0.8 0.7 0.7 0.6 0.5

RURALOccupied housing units 824222 90514 204 562 178727 192043 102439 28131 14964Occupants 2030265 123089 363 732 446194 569586 344941 99909 56317Persons per unit 2.5 1.4 1.8 2.5 3.0 3.1 3.6 3.8Persons per room 1.0 1.4 0.9 0.8 0.7 0.6 0.6 0.5

HELSINKIOccupied housing units 271794 63606 99645 59617 31634 11415 3102 1283Occupants 523443 76116 158009 144507 93700 35047 9331 3825Persons per unit 1.9 1.2 1.6 2.4 3.0 3.1 3.0 3.0Persons per room 0.8 1.2 0.8 0.8 0.7 0.6 0.5 0.4

TampereOccupied housing units 92105 16980 34105 21391 12690 4396 1229 495Occupants 185796 20160 54874 51902 37549 14036 4085 1563Persons per unit 2.0 1.2 1.6 2.4 3.0 3.2 3.3 3.2Persons per room 0.8 1.2 0.8 0.8 0.7 0.6 0.6 0.5

EspooOccupied housing units 84386 8855 23491 22219 17349 8106 2441 1015Occupants 201335 10667 38741 57103 53 979 27150 8350 3587Persons per unit 2.4 1.2 1.6 2.6 3.1 3.3 3.4 3.5Persons per room 0.8 1.2 0.8 0.9 0.8 0.7 0.6 0.5

TurkuOccupied housing units 86579 17052 31287 21230 10716 3601 1041 564Occupants 165042 20308 48471 42644 30240 10742 3152 1445Persons per unit 1.9 1.2 1.5 2.0 2.8 3.0 3.0 2.6Persons per room 0.8 1.2 0.8 0.7 0.7 0.6 0.5 0.4

France, 19907

TOTALOccupied housing units 21542152 1303104 2792004 5063032 6022972 3936580 2424460Occupants 55396 580 1606656 4309300 10895648 16982160 13018284 8584532Persons per unit 2.6 1.2 1.5 2.2 2.8 3.3 3.5Persons per room 0.7 1.2 0.8 0.7 0.7 0.7 0.6

URBANOccupied housing units 16276780 1206352 2404436 4091400 4484016 2638568 1452008Occupants 40858496 1483196 3688928 8859536 12793724 8822616 5210496Persons per unit 2.5 1.2 1.5 2.2 2.9 3.3 3.6Persons per room 0.7 1.2 0.8 0.7 0.7 0.7 0.6

66




Total 2 3 4 5 6 7 8+

RURALOccupied housing units 5265372 96752 387568 971632 1538956 1298012 972452Occupants 14538084 123460 620372 2036112 4188436 4195668 3374036Persons per unit 2.8 1.3 1.6 2.1 2.7 3.2 3.5Persons per room 0.7 1.3 0.8 0.7 0.7 0.6 0.6

PARISOccupied housing units 3773848 490556 845620 1070456 803660 372524 191032Occupants 9109496 643988 1411924 2534 532 2472024 1320572 726456Persons per unit 2.4 1.3 1.7 2.4 3.1 3.5 3.8Persons per room 0.7 1.3 0.8 0.8 0.8 0.7 0.6

MarseilleOccupied housing units 481172 36468 77 616 158604 137476 50968 20040Occupants 1 198 376 45308 120164 355084 413624 185764 78432Persons per unit 2.5 1.2 1.5 2.2 3.0 3.6 3.9Persons per room 0.8 1.2 0.8 0.7 0.8 0.7 0.7

LyonOccupied housing units 493008 38784 84944 133396 136080 67904 31900Occupants 1226368 46 516 125736 283504 402904 242972 124736Persons per unit 2.5 1.2 1.5 2.1 3.0 3.6 3.9Persons per room 0.8 1.2 0.7 0.7 0.7 0.7 0.7

ToulouseOccupied housing units 264076 27032 37348 55920 78488 44168 21120Occupants 632484 31292 53628 110380 215356 145392 76436Persons per unit 2.4 1.2 1.4 2.0 2.7 3.3 3.6Persons per room 0.7 1.2 0.7 0.7 0.7 0.7 0.6

Germany, 1998TOTAL

Occupied housing units 34 541200BERLIN

Occupied housing units 1692100Hamburg

Occupied housing units 819300Hungary, 1990TOTAL

Occupied housing units 3687996 71242 609939 1514017 1089348 307734 71704 24012Occupants 10119256 114321 1195751 3827822 3481264 1115037 283599 101462Persons per unit 2.7 1.6 2.0 2.5 3.2 3.6 4.0 4.2Persons per room 0.8 1.6 1.0 0.8 0.8 0.7 0.7 0.6

URBANOccupied housing units 2316108 62557 406972 962775 644269 182547 41999 14989Occupants 6206496 97702 772918 2421401 2030416 655230 164 967 63862Persons per unit 2.7 1.6 1.9 2.5 3.2 3.6 3.9 4.3Persons per room 0.8 1.6 0.9 0.8 0.8 0.7 0.7 0.6

RURALOccupied housing units 1371888 8685 202967 551242 445079 125187 29705 9023Occupants 3912760 16619 422833 1406421 1450848 459807 118632 37600Persons per unit 2.9 1.9 2.1 2.6 3.3 3.7 4.0 4.2Persons per room 0.8 1.9 1.0 0.9 0.8 0.7 0.7 0.6

BUDAPESTOccupied housing units 775523 35809 190335 277855 199602 56369 11173 4380Occupants 1951835 55570 351409 664866 616270 200 107 44642 18971Persons per unit 2.5 1.6 1.8 2.4 3.1 3.5 4.0 4.3Persons per room 0.8 1.6 0.9 0.8 0.8 0.7 0.7 0.6

DebrecenOccupied housing units 73850 2268 13286 29336 21441 7519Occupants 202003 3584 26631 75292 68808 27688Persons per unit 2.7 1.6 2.0 2.6 3.2 3.7Persons per room 0.8 1.6 1.0 0.9 0.8 0.7

MiskolcOccupied housing units 69463 2560 12617 29900 19674 4712Occupants 188114 4255 26113 76873 63531 17342Persons per unit 2.7 1.7 2.1 2.6 3.2 3.7Persons per room 0.9 1.7 1.0 0.9 0.8 0.7

67

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room ~ number of rooms: country or area, urban/rural, cities,latest available year (continue)



Total 2 3 4 5 6 7 8+

SzegedOccupied housing units 64734 1328 8654 29198 18361 7163Occupants 167627 2150 15171 67791 56423 26092Persons per unit 2.6 1.6 1.8 2.3 3.1 3.6Persons per room 0.8 1.6 0.9 0.8 0.8 0.7

Lithuania, 1998'TOTAL

Occupied housing units 1306061 226820 488171 394246 130083 66741URBAN

Occupied housing units 890208 182873 357244 246128 69451 34 512RURAL

Occupied housing units 415853 43947 130 927 148118 60632 32229VILNIUS

Occupied housing units 192566 44227 72551 60841 10546 4401Kaunas

Occupied housing units 174147 31115 74566 44671 17308 6487Klaipeda

Occupied housing units 71130 16505 28974 21117 3859 675Siauliai

Occupied housing units 52224 12125 22983 12152 3665 1299Netherlanda, 1998TOTAL

Occupied housing units 6676700 166 200 614300 1265100 2297000 1560500 500000 160 500 113300Occupants 15296500 176200 751200 2017400 5423700 4481000 1558 300 529500 359100Persons per unit 2.3 1.1 1.2 1.6 2.4 2.9 3.1 3.3 3.2Persons per room 0.7 1.1 0.6 0.5 0.6 0.6 0.5 0.5 0.4

URBANOccupied housing units 4430200 151300 478000 1015100 1461300 909500 269500 82300 63300Occupants 9608500 159000 580200 1615400 3399100 2585400 833000 249000 187400Persons per unit 2.2 1.1 1.2 1.6 2.3 2.8 3.1 3.0 3.0Persons per room 0.6 1.1 0.6 0.5 0.6 0.6 0.5 0.4 0.4


AMSTERDAMOccupied housing units 398000 27700 90800 150300 91500 23200 8200 4500 1900Occupants 706 100 28300 114500 247200 209900 65600 25700 8400 6600Persons per unit 1.8 1.0 1.3 1.6 2.3 2.8 3.1 1.9 3.5Persons per room 0.6 1.0 0.6 0.5 0.6 0.6 0.5 0.3 0.4

RotterdamOccupied housing units 283200 9300 41700 108600 n400 33000 7500 3000 2800Occupants 555600 9900 52100 176000 182600 92900 25200 9900 7000Persons per unit 2.0 1.1 1.2 1.6 2.4 2.8 3.4 3.3 2.5Persons per room 0.6 1.1 0.6 0.5 0.6 0.6 0.6 0.5 0.3

's GravenhageOccupied housing units 222800 7800 39800 70100 63800 23300 8600 4100 5300Occupants 437200 8100 46900 116000 147800 66100 25300 11400 15500Persons per unit 2.0 1.0 1.2 1.7 2.3 2.8 2.9 2.8 2.9Persons per room 0.6 1.0 0.6 0.6 0.6 0.6 0.5 0.4 0.4

UtrechtOccupied housing units 118000 12600 15600 31300 33400 17200 5200 1800 1000Occupants 218700 13300 19600 49500 73700 43400 12300 4400 2500Persons per unit 1.9 1.1 1.3 1.6 2.2 2.5 2.4 2.4 2.5Persons per room 0.5 1.1 0.6 0.5 0.6 0.5 0.4 0.3 0.3

Norway, 1990'·TOTAL

Occupied housing units 1751363 100 109 255704 367954 430083 268858 161 719 n013 89924Occupants 4206414 136298 378155 704592 1092157 781994 522708 268618 321892Persons per unit 2.4 1.4 1.5 1.9 2.5 2.9 3.2 3.5 3.6Persons per room 0.6 1.4 0.7 0.6 0.6 0.6 0.5 0.5 0.4

68




Total 2 3 4 5 6 7 8+


RURALOccupied housing units 439216 16910 40371 68739 111178 83484 54650 28038 35846Occupants 1 159869 28239 68034 140606 285971 237900 174065 96764 128290Persons per unit 2.6 1.7 1.7 2.0 2.6 2.8 3.2 3.5 3.6Persons per room 0.6 1.7 0.8 0.7 0.6 0.6 0.5 0.5 0.4

OSLOOccupied housing units 244434 30206 61022 73162 42047 19057 9759 4087 5091Occupants 453243 34166 83353 128114 97770 51858 28166 12860 16956Persons per unit 1.9 1.1 1.4 1.8 2.3 2.7 2.9 3.1 3.3Persons per room 0.6 1.1 0.7 0.6 0.6 0.5 0.5 -0.4 0.4

BergenOccupied housing units 93949 5376 17606 25788 23161 11213 5756 2399 2651Occupants 210227 6839 25361 47844 59301 33898 18846 8668 9471Persons per unit 2.2 1.3 1.4 1.9 2.6 3.0 3.3 3.6 3.6Persons per room 0.6 1.3 0.7 0.6 0.6 0.6 0.5 0.5 0.4

TrondheimOccupied housing units 60407 4043 11765 14952 14899 7409 3821 1624 1893Occupants 136380 4958 16774 28798 38520 22211 12719 5683 6736Persons per unit 2.3 1.2 1.4 1.9 2.6 3.0 3.3 3.5 3.6Persons per room 0.6 1.2 0.7 0.6 0.6 0.6 0.6 0.5 0.4

StavangerOccupied housing units 42680 2293 7914 9491 10315 6135 3232 1595 1706Occupants 97393 3154 11204 17363 24763 18127 10682 5873 6227Persons per unit 2.3 1.4 1.4 1.8 2.4 3.0 3.3 3.7 3.7Persons per room 0.6 1.4 0.7 0.6 0.6 0.6 0.6 0.5 0.5

Poland,1995TOTAL

Occupied housing units 11056306 309028 1768375 3723754 3169012 1048128 582106 455903Occupants 38230055 551546 4252358 11505779 12129585 4582380 2752975 2455432Persons per unit 3.5 1.8 2.4 3.1 3.8 4.4 4.7 5.4Persons per room 1.0 1.8 1.2 1.0 1.0 0.9 0.8 0.8

URBANOccupied housing units 7436205 256670 1211957 2656 277 2135379 620855 325425 229642Occupants 23449777 451743 2730716 7636592 7574259 2480 524 1409530 1166 413Persons per unit 3.2 1.8 2.3 2.9 3.5 4.0 4.3 5.1Persons per room 0.9 1.8 1.1 1.0 0.9 0.8 0.7 0.7

RURALOccupied housing units 3620101 52358 556 418 1067477 1033633 427273 256681 226261Occupants 14780278 99803 1521642 3869187 4555326 2101856 1343445 1289019Persons per unit 4.1 1.9 2.7 3.6 4.4 4.9 5.2 5.7Persons per room 1.1 1.9 1.4 1.2 1.1 1.0 0.9 0.8

WARSZAWA"Occupied housing units 594473 152339 212718 179685 49731Occupants 1635557 313148 550913 580921 190 575Persons per unit 2.8 2.1 2.6 3.2 3.8Persons per room 0.9 1.0 0.9 0.8 0.8

Lodz"Occupied housing units 314766 99238 135894 62988 16646Occupants 811652 201898 345390 196736 67628Persons per unit 2.6 2.0 2.5 3.1 4.1Persons per room 0.8 1.0 0.8 0.8 0.8

Krakow"Occupied housing units 238 760 61640 82180 72320 22520Occupants 719520 130440 234320 260480 94280Persons per unit 3.0 2.1 2.9 3.6 4.2Persons per room 0.9 1.1 1.0 0.9 0.8

69

3. Occupied housing units, number of occupants, number of persons per housing unit andnumber of persons per room by number of rooms: country or area, urbai1lrural, cities,latest available year (continued)



Total 2 3 4 5 6 7 8+

Wrockaw13

Occupied housing units 204893 46096 64672 57190 36335Occupants 618469 101566 ln289 194016 145598Persons per unit 3.0 2.2 2.7 3.4 4.0Persons per room 0.9 1.1 0.9 0.8 0.8

Portug81, 1991TOTAL

Occupied housing units 3055504 50212 221366 518288 879498 798282 326117 139839 121902Occupants 9705836 114235 559419 1461098 2686102 2727224 1 172 339 518648 466771Persons per unit 3.2 2.3 2.5 2.8 3.1 3.4 3.6 3.7 3.8Persons per room 0.7 2.3 1.3 0.9 0.8 0.7 0.6 0.5 0.5


RURALOccupied housing units 1553634 25465 101 152 252593 420831 421797 184 995 80325 66476Occupants 5052476 57581 257708 713718 1298346 1472427 682964 308073 261659Persons per unit 3.3 2.3 2.5 2.8 3.1 3.5 3.7 3.8 3.9Persons per room 0.7 2.3 1.3 0.9 0.8 0.7 0.6 0.5 0.5

L1SBOAOccupied housing units 227580 4804 22774 43328 63513 46664 24963 11692 9842Occupants 629772 10500 51947 109034 172980 140184 76339 36153 32635Persons per unit 2.8 2.2 2.3 2.5 2.7 3.0 3.1 3.1 3.3Persons per room 0.6 2.2 1.1 0.8 0.7 0.6 0.5 0.4 0.4

PortoOccupied housing units 94669 3398 12013 18219 22992 18811 9n3 4517 4946Occupants 295288 7843 29836 51883 71821 63855 34 793 16233 19024Persons per unit 3.1 2.3 2.5 2.8 3.1 3.4 3.6 3.6 3.8Persons per room 0.7 2.3 1.2 0.9 0.8 0.7 0.6 0.5 0.5

AmandoraOccupied housing units 41047 682 48n 8649 17534 7431 1472 212 190Occupants 118470 1417 11948 23362 51202 24053 4994 740 754Persons per unit 2.9 2.1 2.4 2.7 2.9 3.2 3.4 3.5 4.0Persons per room 0.8 2.1 1.2 0.9 0.7 0.6 0.6 0.5 0.5

SetubalOccupied housing units 27105 312 2417 5723 9069 6m 1843 523 381Occupants 81819 651 5865 16454 27367 22331 6156 1704 1291Persons per unit 3.0 2.1 2.4 2.9 3.0 3.3 3.3 3.3 3.4Persons per room 0.7 2.1 1.2 1.0 0.8 0.7 0.6 0.5 0.4

SI0V8kI8, 1991'TOTAL

Occupied housing units 1617828 181956 438835 627595 230974 138468Occupants 5274335Persons per unit 3.3Persons per room 1.2

URBANOccupied housing units 967595 121695 267283 419030 111946 47641Occupants 2997353Persons per unit 3.1Persons per room 1.2

RURALOccupied housing units 650233 60261 171552 208565 119028 90827Occupants 2276982Persons per unit 3.5Persons per room 1.2

BRATISLAVAOccupied housing units 161494 28302 41102 65591 22748 3751Occupants 442197Persons per unit 2.7Persons per room 1.1

70




Total 2 3 4 5 6 7 8+

KosiceOccupied housing units 79255 11594 20052 37233 8017 2359Occupants 235160Persons per unit 3.0Persons per room 1.1

Spain, 1991TOTAL

Occupied housing units 11736376 48135 292542 1340615 3070308 4180965 1968598 475968 359245URBAN

Occupied housing units 9602631 39474 236735 1 125705 2575111 3523720 1549292 323624 228970RURAL

Occupied housing units 2133 745 8661 55807 214910 495197 657245 419306 152344 130 275Sweden, 1990"TOTAL

Occupied housing units 3830035 85581 299 116 855497 952564 761067 494090 254436 99016Occupants 8180452 92544 334 946 1143nO 1876785 2004643 1491138 840939 346238Persons per unit 2.1 1.1 1.1 1.3 2.0 2.6 3.0 ,3.3 3.5Persons per room 0.5 1.1 0.6 0.4 0.5 0.5 0.5 0.5 0.4

URBANOccupied housing units 3260295 82127 281107 784989 820350 611061 390348 197318 71458Occupants 6813954 88411 310203 1035387 1618253 1632127 1186540 654871 250601Persons per unit 2.1 1.1 1.1 1.3 2.0 2.7 3,0 3.3 3.5Persons per room 0.5 1.1 0.6 0.4 0.5 0.5 0.5 0.5 0.4

RURALOccupied housing units 569740 3454 19009 70508 132214 150006 103742 57118 27558Occupants 1366498 4133 24743 108383 258 532 372 516 304 598 186068 95637Persons per unit 2.4 1.2 1.3 1.5 2.0 2.5 2.9 3.3 3.5Persons per room 0.5 1.2 0.7 0.5 0.5 0.5 0.5 0.5 0.4

STOCKHOLMOccupied housing units 351314 22888 59424 102761 88099 42379 20813 8778 3388Occupants 614968 24946 67938 139867 173802 109352 58091 26169 10539Persons per unit 1.8 1.1 1.1 1.4 2.0 2.6 2.8 3.0 3.1Persons per room 0.5 1.1 0.6 0.5 0.5 0.5 0.5 0.4 0.4

GoteborgOccupied housing units 209779 5341 21346 65214 56914 30808 16849 7341 3122Occupants 401370 5757 23784 86700 114444 82424 50554 23159 10479Persons per unit 1.9 1.1 1.1 1.3 2.0 2.7 3.0 3.2 3.4Persons per room 0.5 1.1 0.6 0.4 0.5 0.5 0.5 0.5 0.4

MalmoOccupied housing units 120464 3252 10064 37373 36308 18226 8722 3716 1359Occupants 221673 3516 11084 47194 70103 47134 24853 11214 4339Persons per unit 1.8 1.1 1.1 1.3 1.9 2.6 2.8 3.0 3.2Persons per room 0.5 1.1 0.6 0.4 0.5 0.5 0.5 0.4 0.4

UppsalaOccupied housing units 72504 1704 5778 17165 18755 13112 8806 4586 1939Occupants 156824 1856 6604 23396 37728 35542 27870 15699 7084Persons per unit 2.2 1.1 1.1 1.4 2.0 2.7 3.2 3.4 3.7Persons per room 0.5 1.1 0.6 0.5 0.5 0.5 0.5 0.5 0.5

Switzerland, 1990TOTAL

Occupied housing units 2800953 185003 381415 787803 754 840 389273 179124 71021 52474Occupants 6610634 219650 548056 1603586 2063915 1 168 761 576918 242187 187561Persons per unit 2.4 1.2 1.4 2.0 2.7 3.0 3.2 3.4 3.6Persons per room 0.6 1.2 0.7 0.7 0.7 0.6 0.5 0.5 0.4

URBANOccupied housing units 2025623 159858 309488 616468 528569 239589 101717 39837 30097Occupants 4557654 188712 439762 1244 638 1433 251 704999 315677 129161 101454Persons per unit 2.3 1.2 1.4 2.0 2.7 2.9 3.1 3.2 3.3Persons per room 0.6 1.2 0.7 0.7 0.7 0.6 0.5 0.5 0.4

71




Total 2 3 4 5 6 7 8+

RURALOccupied housing units 775330 25145 71927 171335 226271 149684 77407 31184 22377Occupants 2052980 30938 108294 358 948 630664 463762 261241 113026 86107Persons per unit 2.6 1.2 1.5 2.1 2.8 3.1 3.4 3.6 3.8Persons per room 0.6 1.2 0.8 0.7 0.7 0.6 0.6 0.5 0.5

BERNEOccupied housing units 67646 7737 15327 26510 12344 3435 1231 563 504Occupants 128166 8850 21015 50760 31316 9268 3531 1725 1701Persons per unit 1.9 1.1 1.4 1.9 2.5 2.7 2.9 3.1 3.4Persons per room 0.6 1.1 0.7 0.6 0.6 0.5 0.5 0.4 0.4

ZurichOccupied housing units 180329 24548 38606 67893 35381 8544 3061 1146 1150Occupants 343838 27035 52080 130440 93433 24189 9176 3547 3938Persons per unit 1.9 1.1 1.3 1.9 2.6 2.8 3.0 3.1 3.4Persons per room 0.7 1.1 0.7 0.6. 0.7 0.6 0.5 0.4 0.4

GenevaOccupied housing units 89834 11141 22578 . 34121 13467 4414 1819 1086 1208Occupants 170527 12948 32019 68106 34028 11741 4969 3113 3623Persons per unit 1.9 1.2 1.4 2.0 2.5 2.7 2.7 2.9 3.0Persons per room 0.6 1.2 0.7 0.7 0.6 0.5 0.5 0.4 0.4

BaleOccupied housing units 84133 18425 23888 21765 11898 4552 2131 808 646Occupants 162955 25013 39728 45881 29878 12361 5893 2226 1975Persons per unit 1.9 1.4 1.7 2.1 2.5 2.7 2.8 2.8 3.1Persons per room 0.7 1.4 0.8 0.7 0.6 0.5 0.5 0.4 0.4

United Kingdom, 19962

TOTALOccupied housing units 20423000 131000 518000 1695000 3828000 5591000 4299000 2061000 2277000Occupants 48705000 141000 623000 2344000 7291000 13873000 11348000 5966000 7082000Persons per unit 2.4 1.1 1.2 1.4 1.9 2.5 2.6 2.9 3.1Persons per room 0.5 1.1 0.6 0.5 0.5 0.5 0.4 0.4 0.4

URBANOccupied housing units 18911000 129000 508000 1626000 3636000 5259000 3986000 1852000 1892000Occupants 44992000 138000 610000 2246000 6929000 13085000 10583000 5419000 5944000Persons per unit 2.4 1.1 1.2 1.4 1.9 2.5 2.7 2.9 3.1Persons per room 0.5 1.1 0.6 0.5 0.5 0.5 0.4 0.4 0.4

RURALOccupied housing units 1 512000 2000 10000 69000 192000 332000 313000 208000 385000Occupants 3712000 2000 13000 98000 361000 787000 765000 547000 1139000Persons per unit 2.5 1.0 1.3 1.4 1.9 2.4 2.4 2.6 3.0Persons per room 0.4 1.0 0.7 0.5 0.5 0.5 0.4 0.4 0.4

LONDONOccupied housing units 2954000 39000 146 000 446000 680000 707000 505000 206000 226000Occupants 7050000 43000 175000 669000 1417 000 1856 000 1454000 658000 777000Persons per unit 2.4 1.1 1.2 1.5 2.1 2.6 2.9 3.2 3.4Persons per room 0.5 1.1 0.6 0.5 0.5 0.5 0.5 0.5 0.4

Yugoslavia, 1991 2

TOTALOccupied housing units 2686347 415979 1005584 686188 313889 261426Occupants 8659351Persons per unit 3.2Persons per room 1.2



72




Total 2 3 4 5 6 7 8+

BEOGRADOccupied housing units 503077 116686 208105 113739 36957 26299OCcupants 1574822Persons per unit 3.1Persons per room 1.4

Novi SadOccupied housing units 91475 18329 36386 22994 7635 5991Occupants 264 087Persons per unit 2.9Persons per room 1.2

NisOccupied housing units 76706 7301 29726 27532 7598 4513Occupants 247447Persons per unit 3.2Persons per room 1.2

KragujevacOccupied housing units 57617 11017 25203 13348 4605 3308Occupants 178677Persons per unit 3.1Persons per room 1.3

.' "

Guam, 1990TOTAL

OCcupied housing units 31373 404 1 132 2690 6197 9394 7132 3150 1274Occupants 124596Persons per unit 4.0Persons per room 0.8

URBANOCcupied housing units 12351 159 376 1026 2245 3620 2966 1506 453OCcupants 46185Persons per unit 3.7Persons per room 0.7


DededoOCcupied housing units 6963 70 185 482 1113 2494 1834 575 210Occupants 30933Persons per unit 4.4Persons per room 0.9

TamuningOCcupied housing units 4982 110 262 737 1514 1 151 839 236 133OCcupants 15076Persons per unit 3.0Persons per room 0.7

YigoOCcupied housing units 3370 36 69 166 394 884 906 767 148OCcupants 13081Persons per unit 3.9Persons per room 0.7

Pitcairn, 1999RURAL


73




Tonga,1996TOTAL

Occupied housing unitsOccupantsPersons per unit

URBAN'·Occupied housing unitsOccupantsPersons per unit

RURALOccupied housing unitsOccupantsPersons per unit

NOTES

Total

1619497784

6.0

366522400

6.1

1252975384

6.0

2 3 4 5 6 7 8+

, Data for the category "5 rooms· refer to housing units with 5+rooms.2 Data as reported; the total differs from the sum of categories.3 Data for the category "Total· also include housing units with unknown number of rooms, as follows: 3,609 for total, 2,371 for urban, 878 for urban, 643 for Nuuk, 418for Sisimut, 266 for lIusat and 313 for Qaqortoq.4 Data for the category "4 rooms· refer to units with 4 or 5 rooms. Data for the category "6 rooms· refer to units with 6 or 7 rooms. Data for cities refer to 1990.5 Estimated data.• Data for total occupied housing units include 2,417 occupied marine vessels. Data for total number of occupants include 9,612 persons in marine vessels and 578persons in collective households on board vessels.7 Data for the category "6 rooms· refer to housing units with 6+rooms.• Including data for East Jerusalem and Israel residents in certain other territories under occupation by Israeli military forces since June 1967.•Designation and data provided by Israel. The position of the United Nations on the question of Jerusalem is contained in General Assembly resolution 181 (II) andsubsequent resolutions of the General Assembly and the Security Council conceming this question.,. Data for total occupied housing units and total number of occupants are provisional and are estimated based on advanced sample tabulation of census data. Datafor the category "6 rooms· also include with 6 or more rooms.11 The total differs form the sum of categories and that difference refers to the category "not stated".,2 Data for total occupied housing units include 11,n5 housing units with no information on urban/rural areas. Data for the total number of occupants include 24,701occupants with no information on urban-rural areas.13 Data for the category "2 rooms· also include housing units with 1 room. Data for the category "5 rooms· include units with 5 or more rooms.'4 The category "7 rooms· refer to "7+ rooms·.'5 The total differs from the sum of categories and that difference is due to 22,259 persons for whom information is not collected, plus the category "not stated·.,. Data refer to Nuku'Alofa, the capital.

74

4. Households in housing units by water supply system: country or area, urban/rural,cities, latest available year

Technical notes

Definitions

Water supply system refers to the source of a housing units' water supply. With piped water inside the housingunit refers to the existence of water pipes within the walls that constitute a housing unit. Water can be piped fromthe community source, Le. one that is subject to inspection and control by public authorities. Such systems aregenerally operated by a public body but in some cases they are generated by a cooperative or private enterprise.Water can be also piped into the unit from a private source, such as a pressure tank, a pump or some otherinstallation. The category piped water outside unit, but within 200 meters refers to units where the piped water isnot available to occupants within the unit they reside in, but is accessible within the range of 200 meters, assumingthat access to piped water within that distance allows occupants to provide water for household needs withoutbeing subjected to extreme effort. Other refers to units that do not have access to piped water at all, whoseoccupants depend on springs or wells, or to units where piped water is located beyond 200 meters.

Coverage


Percentage of households with piped water inside housing units: urban/rural,selected countries in Africa and Asia

UrbanBotswana

Burkina FasoCongoEgypt

GambiaKenya

Libyan Arab JamahiriyaMauritius

NigerSenegal

South AfricaArmeniaCyprus

GeorgiaIran, Islamic Rep. of

KazakhstanKorea, Rep. of

Malaysia - PeninsularPakistan

Syrian Arab RepUblicThailand

100 80 60 40 20

Per cent

75

o

Rural

20 40 60 80 100

Per cent

4. Households in housing units by water supply system: country or area, urban/rural,cities, latest available year


With piped water inside housing unit

AFRICA

Total

Total From communitysource

From privatesource

Piped wateroutside unit but

within 200meters

Other Not stated

Botswana,1996TOTAL 276209 212733 143604 69129 63476

Percentage 100 no 52.0 25.0 23.0URBAN 140883 140883 83743 57140

Percentage 100 100.0 59.4 40.6RURAL 135326 71850 59861 11989 63476

Percentage 100 53.1 44.2 8.9 46.9GABORONE 36639 36639 20687 15952

Percentage 100 100.0 56.5 43.5Francistown 16789 16789 12035 4754

Percentage 100 100.0 71.7 28.3Burkina Faso, 1991TOTAL 1407164 65459 1341705

Percentage 100 4.7 95.3URBAN 198 310 63908 134402

Percentage 100 32.2 67.8RURAL 1208854 1551 1207303

Percentage 100 0.1 99.9OUAGADOUGOU 98206 32107 66099

Percentage 100 32.7 67.3Boba Dioulasso 42205 20081 22124

Percentage 100 47.6 52.4Koudougou 7622 2925 4697

Percentage 100 38.4 61.6Ouahigouya 7585 871 6714

Percentage 100 11.5 88.5Egypt,1996'TOTAL 12702600 8028020 8028020 2459399 2215181

Percentage 100 63.2 63.2 19.4 17.4URBAN 58398n 5038589 5038589 597970 203318

Percentage 100 86.3 86.3 10.2 3.5RURAL 6862723 2989431 2989431 1861429 2011863

Percentage 100 43.6 43.6 27.1 29.3CAIRO 1657081 1446379 1446379 163 525 471n

Percentage 100 87.3 87.3 9.9 2.8Alexandria 799755 740639 740639 57935 1 181

Percentage 100 92.6 92.6 7.2 0.1Giza 534180 455926 455926 43560 34694

Percentage 100 85.4 85.4 8.2 6.5Shobra-EI-Khema 192448 158 246 158246 17028 17174

Percentage 100 82.2 82.2 8.8 8.9Gambia, 1993TOTAL 116001 18183 20512 74238 3068

Percentage 100 15.7 17.7 64.0 2.6URBAN 54042 17268 15824 19604 1346


Percentage 100 1.5 7.6 88.2 2.8BANJUL 7032 3545 3384 47 56

Percentage 100 50.4 48.1 0.7 0.8Kanifing 31426 11758 5790 13074 804

Percentage 100 37.4 18.4 41.6 2.6Kenya,1989"TOTAL

Percentage 100 31.9 68.1URBAN

Percentage 100 84.8 15.2RURAL

Percentage 100 16.6 83.4NAIROBI


76

4. Households in housing units by water supply system: country or area, urban/rural, cities,latest available year (continued)


Total With piped water inside housing unit Piped water Other Not statedoutside unit but

Total From community From private within 200

source source meters

MombasaPercentage 100 92.3 7.7

Lesotho, 1996TOTAL 370972 177 321 131706 45615 192467 1184

Percentage 100 47.8 35.5 12.3 51.9 0.3Libyan Arab Jamahiriya, 1995TOTAL 589427 524351 449236 75115 62065 3011

Percentage 100 89.0 76.2 12.7 10.5 0.5URBAN 498465 454079 389418 64661 41658 2728

Percentage 100 91.1 78.1 13.0 8.4 0.5RURAL 90962 70272 59818 10454 20407 283

Percentage 100 77.3 65.8 11.5 22.4 0.3TRIPOLI 162084 158147 122276 35871 2822 1 115

Percentage 100 97.6 75.4 22.1 1.7 0.7BENGAZI 64671 61724 58858 2866 2227 720

Percentage 100 95.4 91.0 4.4 3.4 1.1zawia 72414 61105 41576 19529 10669 640

Percentage 100 84.4 57.4 27.0 14.7 0.9Misurata 58224 52559 46986 5573 5645 20

Percentage 100 90.3 80.7 9.6 9.7 0.0Mauritius, 1990'TOTAL 236635 132538 132538 92809 11266 22



Percentage 100 44.6 44.6 48.4 7.0 0.0PORT-LOUIS 30780 16040 16040 14040 695 5

Percentage 100 52.1 52.1 45.6 2.3 0.0Niger, 1998TOTAL 1129126 169203 122018 837905


Percentage 100 81.1 3.6 15.3RURAL 946157 20815 115431 809910

Percentage 100 2.2 12.2 85.6Senegal,1994'TOTAL 777 931 370295 164143 206152 345366 62270

Percentage 100 47.6 21.1 26.5 44.4 8.0URBAN 330828 264 662 83038 181624 45323 20842


Percentage 100 23.6 18.1 5.5 67.1 9.3DAKAR 183533 153097 41437 111660 16868 13568

Percentage 100 83.4 22.6 60.8 9.2 7.4Seychelles, 19975

TOTAL 17878 15203 2183 492Percentage 100 85.0 12.2 2.8

RURAL 12063 9764 1936 363Percentage 100 80.9 16.0 3.0

PORT VICTORIA 5815 5439 247 129Percentage 100 93.5 4.2 2.2

South Africa, 1996TOTAL 9059571 3976855 4926745 103948 52023



Percentage 100 10.9 86.8 1.6 0.7PRETORIA 214633 186315 26921 355 1042

Percentage 100 86.8 12.5 0.2 0.5CAPETOWN 60271 57248 2761 58 204

Percentage 100 95.0 4.6 0.1 0.3

77






Durban 164 740 141107 21187 1885 561Percentage 100 85.7 12.9 1.1 0.3

Johannesburg 228135 196 153 29227 567 2188Percentage 100 86.0 12.8 0.2 1.0

St. Helena, 1998TOTAL 15n 1501 1501 48 28

Percentage 100 95.2 95.2 3.0 1.8URBAN 280 279 279 1


Percentage 100 94.2 94.2 3.6 2.2

AMERICA, NORTHBahamas, 1990TOTAL 61906 47610 32891 14719 2042 12074 180

Percentage 100 76.9 53.1 23.8 3.3 19.5 0.3NASSAU 39864 31726 20516 11210 837 7301

Percentage 100 79.6 51.5 28.1 2.1 18.3Freeport, GR. Bahama 10388 8810 8031 n9 332 1222 24

Percentage 100 84.8 n.3 7.5 3.2 11.8 0.2Bermuda, 1991TOTAL 22061 21629 1492 20136 206 160 66


Percentage 100 98.0 6.8 91.3 0.9 0.7 0.3HAMILTON 388 385 350 35 3

Percentage 100 99.2 90.2 9.0 0.8Canada, 1997TOTAL 11580000 11562000 12000

Percentage 100 99.8 0.1Costa Rica, 1997"TOTAL 784128 767141 750 114 14867 2160 16987



Percentage 100 96.1 92.8 2.9 0.4 3.9DomInIcan Republic, 1993TOTAL 1629616 1094418 1094418 535198

Percentage 100 67.2 67.2 32.8SANTO DOMINGO 512701 445197 445197 67504

Percentage 100 86.8 86.8 13.2Santiago de los Caballeros 161654 105847 105847 55807

Percentage 100 65.5 65.5 34.5La Romana 37781 30420 30420 7361

Percentage 100 80.5 80.5 19.5San Pedro de Macoris 48017 35370 35370 12647

Percentage 100 73.7 73.7 26.3Guatemala, 1994TOTAL 1 591823 998806 787708 211098 90707 502310


Percentage 100 87.8 81.6 6.2 4.3 7.9RURAL 987794 468447 294 636 173811 65021 454326

Percentage 100 47.4 29.8 17.6 6.6 46.0JamaIca, 1991TOTAL 588340 230018 193259 36759 239615 114398 4309


Percentage 100 53.8 47.2 6.6 39.8 5.8 0.7RURAL 235145 40174 26651 13523 99140 93882 1949

Percentage 100 17.1 11.3 5.8 42.2 39.9 0.8KINGSTON 147279 95132 85319 9813 48102 3169 876

Percentage 100 64.6 57.9 6.7 32.7 2.2 0.6

78


(See notes at end of table.) .Total With piped water inside housing unit Piped water Other Not stated

outside unit butTotal From community From private within 200


Spanish Town 26666 13721 126n 1044 11104 1663 178Percentage 100 51.5 47.5 3.9 41.6 6.2 0.7

Portmore 22030 19192 18713 479 2383 276 179Percentage 100 87.1 84.9 2.2 10.8 1.3 0.8

MontegoBay 21316 11283 10040 1243 8778 1156 99Percentage 100 52.9 47.1 5.8 41.2 5.4 0.5

Mexico, 19967

TOTAL 20199398 11570944 5740841 2887614Percentage 100 57.3 28.4 14.3

URBAN 15318401 10711312 3596 017 1011072Percentage 100 69.9 23.5 6.6

RURAL 4880997 859632 2144 824 1876541Percentage 100 17.6 43.9 38.4

Nicaragua, 1998TOTAL 473434 210784 210784 258 224 4426

Percentage '100 44.5 44.5 54.5 0.9URBAN 369890 188634 188 634 180815 441

Percentage 100 51.0 51.0 48.9 0.1RURAL 103544 22150 22150 n409 3986

Percentage 100 21.4 21.4 74.8 3.8MANAGUA 160 149 93457 93457 66692

Percentage 100 58.4 58.4 41.6Leon 21008 15018 15018 5990

Percentage 100 71.5 71.5 28.5Jinotepe 4211 3580 3580 631

Percentage 100 85.0 85.0 15.0Matagalpa 93n 4517 4517 4668 192

Percentage 100 48.2 48.2 49.8 2.0Panama. 1990'TOTAL 524284 423168 101 116

Percentage 100 80.7 19.3URBAN 295105 287494 7611


Percentage 100 59.2 40.8PANAMA 105409 86164 86164 18734 511

Percentage 100 81.7 81.7 17.8 0.5San Miguelito 51645 36952 36829 123 14497 196

Percentage 100 71.6 71.3 0.2 28.1 0.4Colon 37118 21789 21724 65 15207 122

Percentage 100 58.7 58.5 0.2 41.0 0.3David 23741 14213 14119 94 6648 2880

Percentage 100 59.9 59.5 0.4 28.0 12.1Puerto Rico. 1990'TOTAL 1054 924 1011249

Percentage 95.9SANJUAN 150592 150124

Percentage 99.7Bayamon 65785 65388

Percentage 99.4Ponce 54 191 51857

Percentage 95.7Carolina 54466 54230

Percentage 99.6Saint Lucia. 1999TOTAL 33079 15812 15812 15183 2084

Percentage 100 47.8 47.8 45.9 6.3CASTRIES 13179 8066 8066 4455 646

Percentage 100 61.2 61.2 33.8 4.9Vieux-Fort 3097 1220 1220 1610 263

Percentage 100 39.4 39.4 52.0 8.5Soufriere 1905 960 960 792 150

Percentage 100 50.4 50.4 41.6 7.9

79



Gros IsletPercentage

United States'TOTAL,1997

PercentageURBAN

PercentageRURAL

PercentageWASHINGTON O.C., 1993

PercentageNew York, 1991

PercentageLos Angeles, 1995

PercentageHouston, 1991

Percentage

AMERICA, SOUTH


PercentageURBAN

PercentageRURAL

PercentageBolivia, 1997TOTAL

PercentageURBAN

PercentageRURAL

PercentageLAPAZ

PercentageSanta Cruz de la Sierra

PercentageCochabamba

PercentageOruro

PercentageBrazil, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentageBRASILIA, OF

PercentageSao Paolo

PercentageRio de Janeiro

PercentageBelo Horizonte

PercentageColombia, 1993"TOTAL

PercentageURBAN

PercentageRURAL

PercentageBOGOTA

Percentage




3656 2029 2029 1506 121100 55.5 55.5 41.2 3.3

99487000 99 102000 88008000 1101400099.6 88.5 11.1

71317000 71 101000 70055000 104600099.7 98.2 1.5

28170000 28001000 17954000 1004700099.4 63.7 35.7

1519200 1518900 1420400 98500100 100.0 93.5 6.5

4156100 4155300 4054600 100700100 100.0 97.6 2.4

2947500 2947500 2926600 20900100 100.0 99.3 0.7

1264200 1263800 1164100 99700100 100.0 92.1 7.9

8515441 6587594 5383711 1203863 1271318 448764 207765100 n.4 63.2 14.1 14.9 5.3 2.4

7505862 6184 510 5230741 953769 897220 261982 162150100 82.4 69.7 12.7 12.0 3.5 2.2

1009579 403084 152970 250 114 374098 186782 45615100 39.9 15.2 24.8 37.1 18.5 4.5

1822785 1183 593 112587 503538 23067100 64.9 6.2 27.6 1.3

1094237 971352 53560 59470 9855100 88.8 4.9 5.4 0.9

728548 212241 59027 444068 13212100 29.1 8.1 61.0 1.8

179460 160 817 14890 2081 1672100 89.6 8.3 1.2 0.9

192990 188 395 1674 2292 629100 97.6 0.9 1.2 0.3

127761 103050 1792 22232 687100 80.7 1.4 17.4 0.5

51626 49096 1244 0 1286100 95.1 2.4 0.0 2.5

41839703 35443078 31459922 3982755 1523608 4865291100 84.7 75.2 9.5 3.6 11.6

33993829 31542928 30 102685 1439842 1122 n8 1321496100 92.8 88.6 4.2 3.3 3.9

7845874 3900 150 1357237 2542913 400830 3543795100 49.7 17.3 32.4 5.1 45.2

506538 486209 461902 24307 13419 6910100 96.0 91.2 4.8 2.6 1.4

4653863 4614646 4562598 52048 9542 29495100 99.2 98.0 1.1 0.2 0.6

3167596 3058053 2818672 239381 22025 84042100 96.5 89.0 7.6 0.7 2.7

1045310 1015184 994nl 20413 12697 17429100 97.1 95.1 2.0 1.2 1.7

6885748 5487403 549684 848661100 79.7 8.0 12.3

5173367 4837400 119170 216797100 93.5 2.3 4.2

1712381 650003 430514 631864100 38.0 25.1 36.9

1206384 1179813 7073 19498100 97.8 0.6 1.6

80



CaliPercentage

MedellinPercentage

BarranquillaPercentage

Uruguay, 1996'·TOTAL

PercentageURBAN

PercentageRURAL

PercentageMONTEVIDEO

PercentagePaysandu

PercentageRivera

PercentageSaito

Percentage

ASIAArmenia, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentageChina-Macau SAR, 1996TOTAL

PercentageCyprus, 1992"TOTAL

PercentageURBAN

PercentageRURAL

PercentageNICOSIA

PercentageLimassol

PercentageLamaka

PercentagePatos

PercentageGeorgia, 198913

TOTALPercentage

URBANPercentage

RURALPercentage

TBILISIPercentage

Iran, 1996TOTAL

PercentageURBAN

PercentageRURAL

Percentage




379382 368368 4255 6759100 97.1 1.1 1.8

382108 373853 1527 6728100 97.8 0.4 1.8

193191 180471 1483 11237100 93.4 0.8 5.8

970037 745032 n473 141340 6192100 76.8 8.0 14.6 0.6

884 794 737397 75227 67167 5003100 83.3 8.5 7.6 0.6

85243 7635 2246 74173 1189100 9.0 2.6 87.0 1.4

413998 384228 21900 5268 2602100 92.8 5.3 1.3 0.6

21451 18479 1852 990 130100 86.1 8.6 4.6 0.6

18437 14321 2204 1798 114100 n.7 12.0 9.8 0.6

241;87 18744 3532 2195 llf'100 76.2 14.4 8.9 0.5

100 66.7 19.1 5.9 8.3

100 91.7 4.9 1.2 2.2

100 28.1 41.1 13.0 17.8

113794 113329 113329 465100 99.6 99.6 0.4

185235 176487 176487 6937 1416 395100 95.3 95.3 3.7 0.8 0.2

125320 122912 122912 1513 564 331100 98.1 98.1 1.2 0.5 0.3

59915 53575 53575 5424 852 64100 89.4 89.4 9.1 1.4 0.1

55006 54491 54491 265 159 91100 99.1 99.1 0.5 0.3 0.2

41973 41168 41168 527 240 38100 98.1 98.1 1.3 0.6 0.1

18467 17839 17839 360 86 182100 96.6 96.6 1.9 0.5 1

9874 9414 9414 361 79 20100 95.3 95.3 3.7 0.8 0.2

59.1

90.1

21.9

98.0

12280 539 1071227187.2

7929830 763340996.3

4350 709 307886270.8

81



Total With piped water inside housing unit p~water Other Not statedoutsi e unit but

Total From community From private within 200source source meters

TEHERAN 1653830 1635254Percentage 98.9

Mashhad 407n4 405188Percentage 99.4

Esfahan 297297 292961Percentage 98.5

TabrizCity 268 752 249213Percentage 92.7

Kuakhstan, 1998"TOTAL

Percentage 100 61.4 34.9 3.7URBAN

Percentage 100 87.6 12.3 0.1RURAL

Percentage 100 21.5 69.3 9.2Korea, Aepubllc of, 1995TOTAL 11354 540 11051209 8401945 2649264 164895 138436



Percentage 100 95.0 26.1 68.9 4.6 0.4SEOUL 2814845 2758240 2690686 67554 2496 54109

Percentage 100 98.0 95.6 2.4 0.1 1.9Pusan 993375 966405 910527 55878 6999 19971

Percentage 100 97.3 91.7 5.6 0.7 2.1Taegu 597150 591026 571244 19782 1789 4335

Percentage 100 99.0 95.7 3.3 0.3 0.7Suwon 171605 170089 145263 24826 104 1412

Percentage 100 99.1 84.6 14.5 0.1 0.8Malaysia Penlnsular,l991TOTAL 3526675 2731578 2731578 294240 500857

Percentage 100 n.5 n.5 8.3 14.2URBAN 1954 524 1765520 1765520 100222 88782

Percentage 100 90.3 90.3 5.1 4.5RURAL 1572151 966058 966058 194 018 412075

Percentage 100 61.4 61.4 12.3 26.2W.P KUALA LUMPUR 242380 228815 228815 10526 3039

Percentage 100 94.4 94.4 4.3 1.3Majlis Perbandaran lpoh 84762 79396 79396 2574 2792

Percentage 100 93.7 93.7 3.0 3.3GeorgeTown 43152 42451 42451 545 156

Percentage 100 98.4 98.4 1.3 0.4Majlis Perbandaran Johor 69612 63725 63725 3381 2506Bharu

Percentage 100 91.5 91.5 4.9 3.6Malaysia· Sabeh, 1991KOTA KINABALU 38740 28446 28446 6662 3632

Percentage 100 73.4 73.4 17.2 9.4Tawau 48051 24499 24499 6413 17139

Percentage 100 51.0 51.0 13.3 35.7Sandakan 40367 20240 20240 10115 10012

Percentage 100 50.1 50.1 25.1 24.8Keningau 17486 6056 6056 5392 6038

Percentage 100 34.6 34.6 30.8 34.5Malaysia - Sara_k, 1991KUCHING 68344 55853 55853 7160 5331

Percentage 100 81.7 81.7 10.5 7.8Sibu 34658 25649 25649 3524 5485

Percentage 100 74.0 74.0 10.2 15.8Miri 33284 22174 22174 3185 7925

Percentage 100 66.6 66.6 9.6 23.8

82



Pakistan, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentageISLAMABAD

PercentageSyrian Arab Republic, 1994TOTAL

PercentageURBAN

PercentageRURAL

PercentageDAMASCUS

PercentageLattakia

PercentageHoms

PercentageAleppo

PercentageThalland,1995TOTAL

PercentageURBAN

PercentageRURAL

PercentageEUROPE

Total With piped water inside housing unit p~edwateroutsi e unit but



19344232 5307256 5307256 749119100 27.4 27.4 3.9

6240469 3639048 3639048 296096100 58.3 58.3 4.7

13103763 1668208 1668208 453023100 12.7 12.7 3.5

86575 65098 65098 5896100 75.2 75.2 6.8

2185757 19345n 1644658 289919 42508100 88.5 75.2 13.3 1.9

1178106 1148 564 1079555 69009 4445100 97.5 91.6 5.9 0.4

1007651 786 013 565103 220910 38063100 78.0 56.1 21.9 3.8

233859 230 013 221705 8308 291100 98.4 94.8 3.6 0.1

129784 109639 89197 20442 5423100 84.5 68.7 15.8 4.2

179387 170335 136 013 34322 2066100 95.0 75.8 19.1 1.2

458237 408854 325510 83344 5839100 89.2 71.0 18.2 1.3

15002591 2806011 349896100 18.7 2.3

3046293 1464549 189787100 48.1 6.2

11956 299 1341462 160 109100 11.2 1.3

Other Not stated

1328785768.7

230532536.9

1098253283.8

1558118.0

208502 1709.5 0.1

25007 902.1 0.0

183495 8018.2 0.0

3522 331.5 0.0

14717 511.3 0.0

6980 63.9 0.0

43510 349.5 0.0

11843001 368378.9 0.0

1390 507 144945.6 0.0

10452494 223487.4 0.0

,TOTAL

PercentageURBAN

PercentageRURAL

PercentageBelgium, 1991TOTAL

PercentageURBAN

PercentageRURAL

PercentageBRUXELLES

PercentageAntwerpen

PercentageGent

PercentageCharleroi

PercentageBUlgaria, 1992TOTAL

PercentageURBAN

PercentageRURAL

PercentageCroatia, 1991"TOTAL

Percentage

3242400 3233600 8800100 99.7 0.3

2559900 2552700 7200100 99.7 0.3

682500 680900 1600100 99.8 0.2

3748164 3732701 373270199.6 99.6

374On1 3725392 372539299.6 99.6

7393 7309 730998.9 98.9

394468 393604 39360499.8 99.8

207730 207647 20764799.9 99.9

96526 96251 9625199.7 99.7

81044 80912 8091299.8 99.8

2950873 2638398 266256 46219100 69.4 9.0 1.6

19n 184 1906481 64541 6162100 96.4 3.3 0.3

973689 731917 201715 40057100 75.2 20.7 4.1

1544250 1296 139 1 104 630 191509 248111100 83.9 71.5 12.4 16.1

83



Total With piped water inside housing unit p~edwater Other Not statedoutsi e unit but



URBAN 878282 845652 809334 36318 32630Percentage 100 96.3 92.1 4.1 3.7

RURAL 665968 450487 295296 155191 215481Percentage 100 67.6 44.3 23.3 32.4

Czech Republic, 1991TOTAL 4043250 3922057 43756 75457 1980

Percentage 100 97.0 1.1 1.9 0.0PRAHA 545781 541072 3300 1211 198

Percentage 100 99.1 0.6 0.2 0.0Bmo 165622 164858 363 372 29

Percentage 100 99.5 0.2 0.2 0.0Ostrava 133434 133122 156 49 107

Percentage 100 99.8 0.1 0.0 0.1Plzen 72675 71290 1152 208 25

Percentage 100 98.1 1.6 0.3 0.0Finland, 199817

TOTAL 2449115 2369570Percentage 96.8

URBAN 1541437 1 521 212Percentage 98.7

RURAL 907678 848358Percentage 93.5

HELSINKI 290 128 289452Percentage 99.8

Tampere 100 730 100 119Percentage 99.4

Espoo 88640 87446Percentage 98.7

Turku 96542 95384Percentage 98.8

Germany, 1998TOTAL 34865300 34865300

Percentage 100 100.0BERLIN 1718900 1718900

Percentage 100 100.0Hamburg 835900 835900

Percentage 100 100.0Hungary, 1996"TOTAL 3991590 3496138 3404 no 91368

Percentage 87.6 85.3 2.3URBAN 2554 218 2392345 2367153 25192

Percentage 93.7 92.7 1.0RURAL 1437372 1 103793 1037617 66176

Percentage 76.8 72.2 4.6BUDAPEST 815489 807503 806050 1453

Percentage 99.0 98.8 0.2Ireland, 1991TOTAL 1019723 1005233 876048 129185 12658 1832

Percentage 100 98.6 85.9 12.7 1.2 0.2URBAN 593481 592696 590n3 1923 167 618


Percentage 100 96.8 66.9 29.9 2.9 0.3DUBLIN 158916 158 504 158504 412

Percentage 100 99.7 99.7 0.3Cork 38094 38092 38092 2

Percentage 100 99.9 99.9 0.0Limerick 15603 15594 15594 9

Percentage 100 99.9 99.9 0.1Galway 14404 14401 14401 3

Percentage 100 99.9 99.9 0.0Lithuania, 1999TOTAL 1306061 972965

Percentage 74.5

84

~- -~-----------------------------------------------------~

4. Households in housing units~water supply system: country or area, urban/rural, cities,latest available year (continue)


Total With piped water inside housing unit p~edwater Other Not statedoutsi e unit but



URBAN 890208 798580Percentage 89.7


VILNIUS 192566 182702Percentage 94.9

Kaunas 174147 167760Percentage 96.3

Klaipeda 71130 69675Percentage 98.0

Siauliai 52224 47826Percentage 91.6

Netherlands, 1993TOTAL 6676700 6676700 6676700

Percentage 100 100 100URBAN 4430200 4430200 4430200

Percentage 100 100 100RURAL 2246500 2246 500 2246500

Percentage 100 100 100AMSTERDAM 401500 401500 401500

Percentage 100 100 100Rotterdam 285700 285700 285700

Percentage 100 100 100's Gravenhage 226400 226400 226400

Percentage 100 100 100Utrecht 122100 122100 122100

Percentage 100 100 100Poland, 1995TOTAL 12498473 11268623 9642572 1626051

Percentage 90.2 77.2 13.0URBAN 8383622 8143012 7794253 348759

Percentage 97.1 93.0 4.2RURAL 4114851 3125611 1848319 1277 292

Percentage 76.0 44.9 31.0WARSZAWA 594473 587334 563134 24200

Percentage 98.8 94.7 4.1Lodz 314766 301774 295278 6496

Percentage 95.9 93.8 2.1Krakow" 238760 233360 215680 12480

Percentage 97.7 90.3 5.2Wrockaw 240293 201971 199778 2193

Percentage 84.1 83.1 0.9Portugal, 1991TOTAL 3143272 2730337 2 161 185 569152 57360 355575



Percentage 100 77.9 47.2 30.7 2.9 19.2L1SBOA 244013 235858 231060 4798 687 7468

Percentage 100 96.7 94.7 2.0 0.3 3.1Porto 98895 94705 92709 2996 1061 2129

Percentage 100 95.8 93.7 3.0 1.1 2.2Amandora 43694 42527 42229 298 233 934

Percentage 100 97.3 96.6 0.7 0.5 2.1Setubal 28073 27534 27271 263 180 359

Percentage 100 98.1 97.1 0.9 0.6 1.3United Kingdom, 1996"TOTAL 48705000 48274000 430000

Percentage 100 99.1 0.9URBAN 44 992000 44632000 360000


86



RURALPercentage

Yugoslavia, 199120

TOTALPercentage

BEOGRADPercentage

Novi SadPercentage

NisPercentage

KragujevacPercentage

OCEANIA

Total With piped water inside housing unit P~water Other Not statedoutsi e unit but



3712000 3641000 71000100 98.1 1.9

2648617 2250031 1897153 352878 398586100 85.0 71.6 13.3 15.0

390 065 382811 379904 2907 7254100 98.1 97.4 0.7 1.9

65087 63448 62983 465 1639100 97.5 96.8 0.7 2.5

56951 55759 55199 560 1192100 97.9 96.9 1.0 2.1

45666 42174 40053 2121 3492100 92.4 87.7 4.6 7.6

Australia, 1998TOTAL 6999700 6496800

Percentage 92.8URBAN 4293000 4215700

Percentage 98.2RURAL 2706 700 2281 100

Percentage 84.3Guam, 1990TOTAL 31373 31207 31179 28 68 98



Percentage 100 99.3 99.2 0.1 0.3 0.4Dededo 6963 6931 6918 13 13 19

Percentage 100 99.5 99.4 0.2 0.2 0.3Tamuning 4982 4976 4974 2 4 2

Percentage 100 99.9 99.8 0.0 0.1 0.0Yigo 3370 3335 3335 1 15 20

Percentage 100 99 99.0 0.0 0.4 0.6Santa Rita 2287 2281 2279 2 6

Percentage 100 99.7 99.7 0.1 0.3Pitcairn, 1999RURAL 22 22 22

Percentage 100 100.0 100.0Tonga, 199621

TOTAL 16194 13705 10012Percentage 84.6 61.8

86

NOTES1 The category "other" refers to households without piped water. The category "piped water outside unif also includes piped water inside the building.

2 Data reported in percentages only.

3 The category "piped water outside unit but within 200 meters" includes households using public fountains. The category "other" refers to tank wagon, welVriver.

• Data for the category "piped water inside housing unit from community source" refers to public tap and "from private source" refers to piped water inside housingunit. Data for "piped water outside unit but within 200 meters" refer to wells and bore holes. Data for the category "other" refer to tap belonging to a neighbor, to astream and so forth.S Data for the category "with piped water inside the housing unit" also include 14,254 households with access to treated piped water. Data for category "piped wateroutside the housing unit but within 200 meters" also include 1,917 households with access to stand pipes with treated or untreated water.

• Data as reported; the total differs from the sum of the categories.7 The category "other" refers to wells and water carried in ox carts.• The category "other" refers to sanitary and superficial well, river or stream, tank or delivery car.• There is no distinction of source of water piped inside the unit.10 Data for the category "piped water outside housing unit but within 200 meters" refer to housing units with piped water outside housing unit but not within a knowndistance. .11 Data reported in percentages and are based on integrated survey of 3,600 households.12 The category "other" refers to households without facilities for piped water.13 Data refer to population, not households.,. Data reported in percentages only and are based on a survey of 6,000 households.1S Data refer to private households only. Data are reported in thousands and in some cases have been rounded.,. Data exclude institutional households.17 Data refer to dwellings.,. Data are based on 2 per cent sample. Data refer to households in conventional dwellings only.,. Small discrepancies between cell counts and marginal totals may arise from rounding.

20 All data are estimates.21 One household may have two or more sources of water supply available. For example, a household may have piped water as well as have its own water tank.

87

-----~~~~~~~~------------------~~~~~~-~~~~~~~-

5. Households in housing units by type of toilet: country or area, urban/rural, cities, latestavailable year

Technical notes

Definitions

A toilet is defined as an installation for the disposal of human excreta.

A toilet inside unit refers to an installation, either flush or non-flush located within walls that constitute a housingunit. A toilet outside unit refers to units where either a flush or a non-flush toilet is available to occupants, but it islocated outside the unit's walls.

A flush toilet is an installation provided with piped water that permits humans to discharge their wastes and fromwhich the wastes are flushed by water. A non-flush toilet is not equipped with piped water.

Coverage


Percentage of households with toilet facilities within the housing unit they occupy:selected cities

Per cent

88

5. Households in housing units by type of toilet: country or area, urban/rural, cities, latestavailable year


Total Toilet inside unit Toilet outside Other Not statedunit

Total Flush toilet Non-flush toilet

Benin,1994TOTAL '823519 172n8 14882 157896 647602 3139

Percentage 100 21.0 1.8 19.2 78.6 0.4Botswene, 19962,3TOTAL 276209

Percentage 14.0 41.0URBAN 140883

Percentage 23.6 57.7RURAL 135325

Percentage 3.3 21.6GABERONE 36639

Percentage 33.5 63.5Francistown 16789

Percentage 21.0 54.0Burkine Fuo,1991TOTAL 1407164 189181 6797 182384 1217983

Percentage 100 13.4 0.5 13.0 86.6URBAN 198 310 95550 6655 88895 102760


Percentage 100 7.7 0.0 7.7 92.3OUAGADOUGOU 98206 57787 3293 54494 40419

Percentage 100 58.8 3.4 55.5 41.2Bobo Dioulasso 42205 11843 1972 9871 30362

Percentage 100 28.1 4.7 23.4 71.9Koudougou 7622 4704 226 4478 2918

Percentage 100 61.7 3.0 58.8 38.3Ouahigouya 7585 3840 n 3763 3745

Percentage 100 50.6 1 49.6 49.4Congo,1984TOTAL 363140 23651 89953 217 423 32113



Percentage 100 3.4 44.4 41.5 10.8Egypt,1996s'·

!!TOTAL 12702600 10839922 1183393URBAN 58398n 5523842 463551 !!

RURAL 6862723 5316080 699842 !!

CAIRO 1657081 1569053 163124 !!

Alexandria 799755 738 721 81356 !!

Giza 534180 511508 35795 !!

Shobra-EI-Khema 192446 ln187 17358 !!

Gembie,1993TOTAL 116001 82621 9194 73427 16768 11321 5291


Percentage 100 79.3 15.8 63.6 14.4 2.6 3.7RURAL 61959 39742 670 39072 8981 9927 3309

Percentage 100 64.1 1.1 63.1 14.5 16.0 5.3BANJUL 7032 6355 2385 3970 520 64 93

Percentage 100 90.4 33.9 56.5 7.4 0.9 1.3Kanifing 31426 25187 5471 19716 4354 667 1218

Percentage 100 80.1 17.4 62.7 13.9 2.1 3.9Kenye, 1989'TOTAL



Percentage 100 0.4 71.8 27.8

89

5. Households in housing units by type of toilet: country or area, urban/rural, cities, latestavailable year (continued)




NAIROBIPercentage 100 50.3 39.4 10.3

MombasaPercentage 100 10.0 68.6 21.4

Lesotho, 1996'TOTAL 370972 169514 11855 157659 2589 198 869

Percentage 100 45.7 3.2 42.5 0.7 53.6Libyan Arab Jamahiriya, 1995TOTAL 711837 664 625 664625 24358 22854

Percentage 100 93.4 93.4 3.4 3.2TRIPOLI 206 292 196 259 196 259 2513 7520

Percentage 100 95.1 95.1 1.2 3.6BENGAZI 101694 98412 98412 1287 1995

Percentage 100 96.8 96.8 1.3 2.0lawia 78594 71558 71558 2769 4272

Percentage 100 91.0 91.0 3.5 5.4Misurata 66908 63001 63001 2462 1445

Percentage 100 94.2 94.2 3.7 2.2Mauritius, 1990TOTAL 236635 234 875 148 588 86287 1756 4



Percentage 100 98.9 48.2 50.7 1.1 0.0PORT-LOUIS 30780 30602 25850 4752 177 1

Percentage 100 99.4 84.0 15.4 0.6 0.0Niger, 199BTOTAL 1129126 13817 153483 957556 4271



Percentage 100 0.3 4.0 95.5 0.2Senegal,1994"TOTAL 777931 329512 52069 277443 237031 211388


Percentage 100 77.4 15.4 62.0 4.3 18.3RURAL 447103 73467 '1209 72258 222786 150850

Percentage 100 16.4 0.3 16.2 49.8 33.7DAKAR 183533 165198 30803 134 395 4217 14118

Percentage 100 90.0 16.8 73.2 2.3 7.7Seychelles, 1997TOTAL 17878 15428 15428 1601 255 594


Percentage 100 83.4 83.4 11.5 1.5 3.6PORT VICTORIA 5815 5367 5367 209 76 163

Percentage 100 92.3 92.3 3.6 1.3 2.8South Africa, 1996'TOTAL 9059571 7892632 4552854 3339778 1118132 48807



Percentage 100 74.0 8.6 65.4 25.3 0,7PRETORIA 214634 211023 198162 12861 2607 1004

Percentage 100 98.3 92.3 6.0 1.2 0.5CAPETOWN 60268 59315 58049 1266 753 200

Percentage 100 98.4 96.3 2.1 1.2 0.3Durban 164 740 161013 141483 19530 3220 507

Percentage 100 97.7 85.9 11.9 2.0 0.3Johannesburg 228140 223810 210458 13352 2216 2114

Percentage 100 98.1 92.2 5.9 1.0 0.9

90



St. Helena, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentageAMERICA. NORTH

Bah8mas,1990TOTAL

PercentageURBAN

PercentageRURAL'

PercentageNASSAU

PercentageFreeport, GR. Bahama

PercentageCall1lda, 1997TOTAL

PercentageURBAN

PercentageRURAL

PercentageCos" Rica, 1997TOTAL

PercentageURBAN

PercentageRURAL'

PercentageDominican Republic, 1993SANTO DOMINGO

PercentageSantiago de los Caballeros

PercentageLa Romana

PercentageSan Pedro de Macoris

PercentageGuatemala, 1994'TOTAL

PercentageURBAN

PercentageRURAL

PercentageJamaica, 1991'TOTAL

PercentageURBAN

PercentageRURAL

PercentageKINGSTON

PercentageSpanish Town

PercentagePortmore

PercentageMontegoBay

Percentage


Total Rush toilet Non-flush toilet

1577 1573 1501 72 4100 99.7 95.2 4.6 0.3289 289 287 2100 100.0 99.3 0.7

1288 1284 1214 70 4100 99.7 94.3 5.4 0.3

61906 47696 47696 9942 4087 181100 77.0 77.0 16.1 6.6 0.3

50252 40702 40702 6505 3022 23100 81.0 81.0 12.9 6.0 0.0

11654 6994 6994 3437 1065100 60.0 60.0 29.5 9.1

39864 31969 31969 5028 2867100 80.2 80.2 12.6 7.2

10388 8733 8733 1477 155 23100 84.1 84.1 14.2 1.5 0.2

11581000 11558 00099.8

9841000 982600099.8

1740000 173200099.5

784128 702011 474450 227561 72683 3140 6294100 89.5 60.5 29.0 9.3 0.4 0.8

356259 349136 160309 188827 3197 2349 1577100 98.0 45.0 53.0 0.9 0.7 0.4

427869 353145 314141 38734 69486 791 4717100 82.5 73.4 9.0 16.2 0.2 1.1

519445 379077 379077 116631 23737100 73.0 73.0 22.5 4.6

164843 79636 79636 80054 5153100 48.3 48.3 48.6 3.1

40393 17095 17095 17192 6106100 42.3 42.3 42.6 15.1

53964 20332 20332 24769 8863100 37.7 37.7 45.9 16.4

1591823 560360 469206 91154 823913 207550100 35.2 29.5 5.7 51.8 13.0

604029 443053 389589 53464 145298 15678100 73.3 64.5 8.9 24.1 2.6

987794 117 307 79617 37690 678615 191872100 11.9 8.1 3.8 68.7 19.4

588340 247194 247194 298933 15201 27012100 42.0 42.0 50.8 2.6 4.6

353 195 213486 213486 117290 6704 15715100 60.4 60.4 33.2 1.9 4.4

235145 33708 33708 181643 8497 11297100 14.3 14.3 77.2 3.6 4.8

147279 124489 124489 16796 1730 4264100 84.5 84.5 11.4 1.2 2.9

26666 12027 12027 12168 435 2036100 45.1 45.1 45.6 1.6 7.6

22030 18902 18902 2325 137 666100 85.8 85.8 10.6 0.6 3.0

21316 11972 11972 8471 452 421100 56.2 56.2 39.7 2.1 2.0

91





Mexico, 1996'·TOTAL 20199398 14371095 10830 950 3540145 3496277 2332026



Percentage 100 29.2 13.6 15.6 36.7 34.1Nicaragua, 1998TOTAL 411706 102754 102754 59845 249107



Percentage 100 1.0 1.0 0.4 98.7MANAGUA 162925 59576 59576 35197 68152

Percentage 100 36.6 36.6 21.6 41.8Leon 22291 6732 6732 3912 11647

Percentage 100 30.2 30.2 17.5 52.2Jinotepe 4326 2965 2965 457 904

Percentage 100 68.5 68.5 10.6 20.9Matagalpa 9962 4661 4661 1383 3918

Percentage 100 46.8 46.8 13.9 39.3Panama, 1990"TOTAL 461794 231639 231639 230 155



Percentage 100 15.9 15.9 84.1PANAMA 105409 80005 80005 24450 954

Percentage 100 75.9 75.9 23.2 0.9San Miguelito 51645 28334 28334 22308 1003

Percentage 100 54.9 54.9 43.2 1.9Colon 15471 7917 7917 7167 387

Percentage 100 512 51.2 46.3 2.5David 23741 11106 11 106 11857 778

Percentage 100 46.8 46.8 49.9 3.3Puerto Rico, 1990TOTAL 1054924 1012098 42826

Percentage 100 95.9 4.1SANJUAN 150 592 149402 1190

Percentage 100 99.2 0.8Bayamon 65785 65388 397

Percentage 100 99.4 0.6Ponce 54191 52506 1685

Percentage 100 96.9 3.1Carolina 54466 54114 352

Percentage 100 99.4 0.6Saint Lucia, 199912

TOTAL 33079 11809 11809 16209 1422 3639Percentage 100 35.7 35.7 49.0 4.3 11.0

CASTRIES3 13179 5930 5930 6470 303 461Percentage 100 45.0 45.0 49.1 2.3 3.5

Vieux-Fort' 3097 1000 1000 1648 31 421Percentage 100 32.3 32.3 53.2 1.0 13.6

Soufriere3 1905 825 825 549 274 255Percentage 100 43.3 43.3 28.8 14.4 13.4

Gras IsleI' 3656 1766 1766 1678 22 194Percentage 100 48.3 48.3 45.9 0.6 5.3

United StatesTOTAL,1997 99487000 99201000 99201000

Percentage 99.7 99.7URBAN,1997 71317000 71128000 71 128000

Percentage 99.7 99.7

92



RURAL. 1997Percentage

WASHINGTON D.C., 1993Percentage

New York. 1991Percentage

Los Angeles, 1995Percentage

Houston, 1991Percentage



28170000 28073000 2807300099.7 99.7

1519200 1518300 151830099.9 99.9

4156100 4130700 413070099.4 99.4

2947500 2943600 294360099.9 99.9

1264200 1263900 1263900100.0 100.0

AMERICA, SOUTH . .Argentina, 1991TOTAL 8515441 8420142 7187428 1 232714 95299



Percentage 100 97.8 51.1 46.7 2.2Bolivia, 1997TOTAL 1822785 1078154 462895 615259 744631

Percentage 100 59.1 25.4 33.8 40.9URBAN 1094 237 854083 445336 408747 240154

Percentage 100 78.1 40.7 37.4 21.9RURAL 728548 224071 17 559 206 512 5044n

Percentage 100 30.8 2.4 28.3 69.2LAPAZ 179460 143229 87262 55967 36231

Percentage 100 79.8 48.6 31.2 20.2Santa Cruz de la Sierra 192990 185721 124694 61027 7269

Percentage 100 96.2 64.6 31.6 3.8Cochabamba 127761 120491 60429 60062 7270

Percentage 100 94.3 47.3 47.0 5.7Oruro 51626 28424 13317 15107 23202

Percentage 100 55.1 25.8 29.3 44.9Brazil, 1998TOTAL 41839703 38068730 3764994 5979



Percentage 100 65.5 34.5 0.0BRASILIA, OF 506 538 499202 7336

Percentage 100 98.6 1.4Sao Paolo 4653683 4645007 8676

Percentage 100 99.8 0.2Rio de Janeiro 3167596 3147312 17387 2897

Percentage 100 99.4 0.5 0.1Belo Horizonte 1045310 1032367 12943

Percentage 100 98.8 1.2Colombia, 199313


URBAN 5384656 5121181 4764 979 356202 263475Percentage 100 95.1 88.5 6.6 4.9

RURAL 1 n5186 957761 650400 307361 817 425Percentage 100 54.0 36.6 17.3 46.0

BOGOTA 1255108 1241567 1213996 27571 13541Percentage 100 98.9 96.7 2.2 1.1

Cali 404805 398538 384 592 13946 6267Percentage 100 98.5 95.0 3.4 1.5

Medellin 388688 384 426 3n174 7252 4262Percentage 100 98.9 97.0 1.9 1.1

Barranquilla 201394 186796 156 946 29850 14598Percentage 100 92.8 77.9 14.8 7.2

93





Uruguay,1996TOTAL 970037 927761 790878 136883 42276

Percentage 100 95.6 81.5 14.1 4.4URBAN 884 794 853174 748209 104 965 31620


Percentage 100 87.5 50.1 37.4 12.5MONTEVIDEO 413998 402289 378965 23324 11709

Percentage 100 97.2 91.5 5.6 2.8Paysandu 21451 20676 17928 2748 775

Percentage 100 96.4 83.6 12.8 3.6Rivera 18437 17583 14832 2751 854

Percentage 100 95.4 80.4 14.9 4.6Salta 24587 23338 19045 4293 1249

Percentage 100 94.9 77.5 17.5 5.1

Armenia, 1998TOTAL



Percentage 100 17.4 17.4 82.6Azerbaijan, 199815

TOTAL 1479504 608217Percentage 41.1

URBAN 897283 592617Percentage 66.0


BAKU 467432 324417Percentage 69.4

Giandja 62441 60804Percentage 97.4

Sumgait 76568 75546Percentage 98.7

Mingecheviz 19894 10894Percentage 54.8

China-Macau SAR, 1996TOTAL 113794 113190 111876 1314 439 165

Percentage 100 99.5 98.3 1.2 0.4 0.1Cyprus, 1992"TOTAL 185235 168 616 168 616 11956 4295 368



Percentage 100 80.2 80.2 14.2 5.5 0.1NICOSIA 55006 53910 53 910 805 216 75

Percentage 100 98.0 98.0 1.5 0.4 0.1Umassol 41973 40016 40016 1409 513 35

Percentage 100 95.3 95.3 3.4 1.2 0.1Lamaka 18467 17505 17505 665 114 183

Percentage 100 94.8 94.8 3.6 0.6 1.0Patos 9874 9149 9149 580 129 16

Percentage 100 92.7 92.7 5.9 1.3 0.2Iran, 199617

TOTAL 10770112 10595300 174812Percentage 100 98.4 1.6


RURAL 3856382 3709978 146404


94





Japan, 1993"TOTAL 40n33OO 39640400 30468900 9171500 426900 706000


Percentage 100 96.7 81.0 15.8 1.2 2.1RURAL' 7831400 7773200 3795400 39n800 40300 17900

Percentage 100 99.3 48.5 50.8 0.5 0.2TOKYO 3300 100 2980600 2960400 20200 97600 221900

Percentage 100 90.3 89.7 0.6 3.0 6.7Yokohama 1111600 1088100 1068700 19400 8000 15500

Percentage 100 97.9 96.1 1.7 0.7 1.4Osaka 1038 200 979600 979400 200 37500 21100

Percentage 100 94.4 94.3 0.0 3.6 2.0Sapporo 660800 628600 621500 7100 8100 24100

Percentage 100 95.1 94.1 1.1 1.2 3.6Korea, Republic of,1995TOTAL 12958 181 12884375 9728022 3156 353 73806



Percentage 100 99.6 43.8 55.8 0.4SEOUL 2965794 2940 147 2699297 240850 25647

Percentage 100 99.1 91.0 8.1 0.9Pusan 1079417 1067724 851883 215838 11696

Percentage 100 98.9 78.9 20.0 1.1Taegu 703464 700704 523781 176923 2760

Percentage 100 99.6 74.5 25.2 0.4Suweon 216432 215935 183 008 32927 497

Percentage 100 99.8 84.6 15.2 0.2Malaysia Penlnaular,1991TOTAL 3526675 3089212 1643809 1445403 269305 168 158



Percentage 100 79.5 18.9 60.6 11.2 9.3W.P KUALA LUMPUR 242380 237108 197956 39152 4617 655

Percentage 100 97.8 81.7 16.2 1.9 0.3Majlis Perbanderan lpoh 84762 80604 69935 10669 3910 248

Percentage 100 95.1 82.5 12.6 4.6 0.3GeorgeTown 43152 41422 32140 9282 1601 129

Percentage 100 96.0 74.5 21.5 3.7 0.3Majlis Perbandaran Johor Bharu 69612 68372 47791 20581 1118 122

Percentage 100 98.2 68.7 29.6 1.6 0.2Malaysia - Sabeh, 1991KOTA KINABALU 38740 26806 22784 4022 10733 1201

Percentage 100 69.2 58.8 10.4 27.7 3.1Tawau 48051 24584 17271 7313 17116 6351

Percentage 100 51.2 35.9 15.2 35.6 13.2Sandakan 40367 17274 14290 2984 21088 2005

Percentage 100 42.8 35.4 7.4 52.2 5.0Keningau 17486 7337 3388 3949 8523 1626

Percentage 100 42.0 19.4 22.6 48.7 9.3Malaysia· Sarawak,1991KUCHING 68344 59965 41491 18474 65n 1802

Percentage 100 87.7 60.7 27.0 9.6 2.6Sibu 34658 27751 22449 5302 5239 1668

Percentage 100 80.1 64.8 15.3 15.1 4.8Miri 33284 24246 16793 7453 7853 1185

Percentage 100 72.8 50.5 22.4 23.6 3.6Thailand,19M1'

TOTAL 15002591 13587826 1024721 12563105 935273 88828 390664Percentage 100 90.5 6.8 83.7 6.2 0.6 2.6

95



URBANPercentage

RURALPercentage



3046293 2586062 526510 2059552 447215 2408 10607100 84.9 17.3 67.6 14.7 0.1 0.3

11956 299 11001763 498211 10503552 488058 86419 380058100 92.0 4.2 87.8 4.1 0.7 3.2

EUROPE .. '

TOTAL 3242400 3112500 129900Percentage 100 96.0 4.0


RURAL 682500 671300 11200Percentage 100 98.4 1.6

Belgium, 1991TOTAL 3748164 3444357 140810 141683

Percentage 91.9 3.8 3.8URBAN 3740771 3438270

Percentage 91.9RURAL 7393 6087

Percentage 82.3BRUXELLES 394468 370662

Percentage 94.0Antwerpen 207730 203893

Percentage 98.2Gent 96 526 87639

Percentage 90.8Charleroi 81044 74615

Percentage 92.1Bulgaria, 1992TOTAL 2950873 1740705 1210168



Percentage 100 11.4 88.6Croatia, 1991'·TOTAL 1504 762 1231535

Percentage 81.8Czech Rapubllc,1991"TOTAL 4043250 3 582 920 246860 209525 3945

Percentage 88.6 6.1 5.2 0.1PRAHA 545781 511222 3331 30679 549

Percentage 93.7 0.6 5.6 0.1Bmo 165622 156674 1838 7047 63

Percentage 94.6 1.1 4.3 0.0Ostrava 133434 128606 1086 3574 168

Percentage 96.4 0.8 2.7 0.1Plzen 72675 67525 902 4166 82

Percentage 92.9 1.2 5.7 0.1Ffnland,1998TOTAL 2449115 2325543



Percentage 90.2HELSINKI 290 128 286859

Percentage 98.9Tampere 100 119 99131

Percentage 99.0Espoo 88640 86551

Percentage 97.6Turku 96542 94133

Percentage 97.5

96





Frence,1990TOTAL 21542152 20152524 1389628

Percentage 100 93.5 6.5URBAN 16276780 15381 844 894 936

Percentage 100 94.5 5.5RURAL 5265372 4n0680 494 692

Percentage 100 90.6 9.4PARIS 3773848 3517 980 255868

Percentage 100 93.2 6.8Marseille 481 172 456 764 24408

Percentage 100 94.9 5.1Lyon 493008 475080 17 928

Percentage 100 96.4 3.6Toulouse 264076 253764 10312

Percentage 100 96.1 3.9Hungary, 199622

TOTAL 3991590 3217 352Percentage 80.6

URBAN 2554 218 2263629Percentage 88.6


BUDAPEST 815489 762509Percentage 93.5

lrelend, 1991'TOTAL 1019723 991 130 983403 7727 19826 8767



Percentage 100 94.5 92.8 1.7 4.6 0.9DUBLIN 158916 156366 156328 38 13 2537

Percentage 100 98.4 98.4 0.0 0.0 1.6Cork 38100 38071 38060 11 12 17

Percentage 100 99.9 99.9 0.0 0.0 0.1Umerick 15604 15469 15461 8 5 130

Percentage 100 99.1 99.1 0.1 0.0 0.8Galway 14411 14295 14291 4 19 97

Percentage 100 99.2 99.2 0.0 0.1 0.7L1thuenle,1999TOTAL 1306061 952712

Percentage 72.9URBAN 890208 796 382

Percentage 89.5RURAL 415853 156 330

Percentage 37.6VILNIUS 192566 182496

Percentage 94.8Kaunas 174147 166939

Percentage 95.9Klaipeda 71130 69534

Percentage 97.8Siauliai 52224 47788

Percentage 91.5Melte,1995TOTAL 119353 117173 114249 2924 2180

Percentage 100 98.2 95.7 2.4 1.8VALLETTA 274R 2599 2461 138 147

Percentage 100 94.6 89.6 5.0 5.4Netherlends, 199321

TOTAL 6676700 6676700 6676700URBAN 4430200 4430200 4430200RURAL 2246500 2246500 2246500AMSTERDAM 401500 401500 401500Rotterdam 285700 285700 285700

97





's Gravenhage 226400 226400 226400Utrecht 122100 122100 122100Norway, 1990TOTAL" 1751363 1751363 1682428 68935



Percentage 100 100.0 92.9 7.1OSLO 244440 244440 235358 9082

Percentage 100 100.0 96.3 3.7Bergen 93949 93949 91214 2735

Percentage 100 100.0 97.1 2.9Trondheim 60407 60407 58604 1803

Percentage 100 100.0 97.0 3.0Stavanger 42680 42680 42166 514

Percentage 100 100.0 98.8 1.2Poland,199S21

TOTAL 12498473 98n543 6609193 3268351Percentage 79.0 52.9 26.2

URBAN 8383622 7511725 6400057 1111668Percentage 89.6 76.3 13.3

RURAL 4114851 2365818 209136 2156683Percentage 57.5 5.1 52.4

WARSZAWA 594473 5n170 539660 37510Percentage 97.1 90.8 6.3

Lodz 314766 261290 247138 14152Percentage 83.0 78.5 4.5

Krakow 238760 228160 215680 12480Percentage 95.6 90.3 5.2

Wrockaw 204293 187996 173634 14362Percentage 92.0 85.0 7.0

Portugal, 1991TOTAL 3143272 2784 959 2556 561 228398 103753 254560

Percentage 100 88.6 81.3 7.3 3.3 8.1URBAN 1 557120 1484290 14223n 61913 38679 34151


Percentage 100 82.0 71.5 10.5 4.1 13.9L1SBOA 244013 237146 224301 12845 2866 4001

Percentage 100 97.2 91.9 5.3 1.2 1.6Porto 98895 91104 89236 1868 5296 2495

Percentage 100 92.1 90.2 1.9 5.4 2.5Amandora 43694 43020 41994 1026 395 279

Percentage 100 98.5 96.1 2.3 0.9 0.6Setubal 28073 26998 26450 548 297 n8

Percentage 100 96.2 94.2 2.0 1.1 2.8Slovakia, 1991"TOTAL 1 617 828 1 324505



Percentage 60.9BRATISLAVA 161494 160 270

Percentage 99.2KoSice 79255 n872

Percentage 98.3United Klngdom,lll99'URBAN

Percentage 100 99.0 1.0RURAL


98



OCEANlA

Total Toilet inside unit


Toilet outsideunit

Other Not stated

Australia, 199BTOTAL 66n9OO 4217 500 751400

Percentage 63.2 11.3URBAN 4228900 2675100 430000

Percentage 63.3 10.2RURAL 2449000 1542400 321500

Percentage 63.0 13.1Guam, 1990TOTAL 31373 29960 29960 360 1053



Percentage 100 94.2 94.2 1.7 4.1Dededo 6963 6632 6632 90 241

Percentage 100 95.2 95.2 1.3 3.5Tamuning 4982 4937 4937 16 29

Percentage 100 99.1 99.1 0.3 0.6Yigo 3370 3169 3169 24 In

Percentage 100 94.0 94.0 0.7 5.3Santa Rita 2287 2257 2257 10 20

Percentage 100 98.7 98.7 0.4 0.9

NOTES

1 Calculated by the United Nations.

2 Data reported in percentages only.

• Data as reported; the total differs from the sum of categories.

• Data removed due to inconsistency.

• Data for households with flush toilet inside housing unit refer to those connected to a sewa~e line. Data for households with non-flush toilet inside housing unit referto those connected to sewage and pit latrine. Data for other refer to public lavatory and "field .

• Data for flush toilet include chemical toilet. Data for non-flush toilet refer to pit latrine and bucket latrine.

1 Data refer to private households.

• The category" toilet inside unit" refers to household with latrines. The category ·other" refers to households with no toilet facilities.

• The category ·other" refers to households with no toilet facilities.

10 Data for the category "with toilet inside the housing unir do not distinguish whether the toilets are located insidE! or outside the housing unit. Data for the category"with toilet outside the housing unir include pit latrines. Data for the category "other" refers to housing units without any sanitary services.

11 Data for the category "toilet outside unir include toilets connected to sewage and septic tanks for collective use and latrines.

12 Data for the category "not stated" refer to households in housing units without toilet facilities.

13 No distinction between Inside and outside unit.

14 Data reported in percentages and are based on integrated survey of 3.600 households.

,. Data on the total number of households are extracted from a different table of the original questionnaire.

,. The category "other" refers to households without flush toilets.

11 Data refer to households in conventional dwellings only.

1. Data for the category "toilet inside unir refers to households with exclusive use of the toilet. The category" toilet outside unir refers to households sharing toiletfacilities.

,. The category "toilet outside unir refers to shared toilets.

20 Data refer to private households. Data reported in thousands and in some cases have been rounded.

21 The category "non-flush toiler includes non-flush toilet outside unit. The category "with toilet outside unir refers to flush toilets outside the unit used by one orseveral households.

22 Data are based on 2 per cent sample. Data refer to households in conventional dwellings only.

.. Virtually all households have access to a flush toilet inside the housing unit.

2. Data for total includes 11.775 households with no information on urban/rural.

25 Data for the category "flush toiler refer to flush toilets from community source. Data for "non-flush toilets" refer to local flush toilets from private source.

26 Data refer to occupied housing units and not households.

99

6. Households in housing units by type of solid waste disposal: country or area,urban/rural, cities, latest available year

Technical notes

Definitions

Solid waste disposal refers to the collection and disposal of solid waste generated by occupants of the housingunit.

Solid waste collected by authorized collectors refers to the arrangement, usually supervised by local authorities,whereby solid waste is regularly collected and disposed of by authorized collectors. Solid waste collected byunauthorized collectors refers to the arrangement for the collection of waste by collectors not supervised by localauthorities. This is common for the collection of waste in squatter settlements.

Solid waste disposed of at a local dump refers to occupants carrying solid waste to a local dump which mayormay not be supervised by local authorities.

Other is a residual category for types of solid waste disposal not previously identified.

Coverage


Percentage of households from which solid waste is collected by authorizedcollectors: selected cities

Per cent100

80 -

60 -

40 -

20 -

100

6. Households in housing units by type of solid waste disposal: country or area,urban/rural, cities, latest available year


AFRICA

Total Collected byauthorizedcollectors

Collected by Disposed 01 atunauthorized local dump

collectors

Other Not stated

Benin, 1994TOTAL

PercentageBurkina Faso, 1991TOTAL

PercentageURBAN

PercentageRURAL

PercentageOUAGADOUGOU

PercentageBoba Dioulasso

PercentageKoudougou

PercentageOuahigouya

PercentageLibyan Arab Jamahiriya, 1995TOTAL

PercentageURBAN

PercentageRURAL

PercentageTRIPOLI

PercentageBENGAZI

Percentagelawia

PercentageMisurata

PercentageMauritius, 1990'TOTAL

PercentageURBAN

PercentageRURAL

PercentagePORT-LOUIS

PercentageSouth Africa, 1996TOTAL

PercentageURBAN

PercentageRURAL

PercentagePRETORIA

PercentageCAPETOWN

PercentageDurban

PercentageJohannesburg

Percentage

AMERICA, NORTH

4900363 68085 4457963 326581 177341.4 91.0 6.7 0.4

1399468 4838 101 815 1292815100 0.3 7.3 92.4

198 735 3498 71952 123285100 1.8 36.2 62.0

1200733 1340 29863 1 169530100 0.1 2.5 97.4

97897 3323 44837 49737100 3.4 45.8 50.8

42826 55 19467 23304100 0.1 45.5 54.4

7920 1224 6696100 15.5 84.5

7543 38 995 6510100 0.5 13.2 86.3

589427 232284 335260 18869 3014100 39.4 56.9 3.2 0.5

498465 221064 261964 12706 2731100 44.3 52.6 2.5 0.5

90 962 11220 73296 6163 283100 12.3 80.6 6.8 0.3

162084 97827 60735 2405 1117100 60.4 37.5 1.5 0.7

84671 31747 31615 588 721100 49.1 48.9 0.9 1.1

72414 8174 60836 2762 640100 11.3 84.0 3.8 0.9

58224 12443 44056 1705 20100 21.4 75.7 2.9 0.0

236635 95383 66392 72347 2435 78100 40.3 28.1 30.6 1.0 0.0

97441 59514 17757 19272 855 43100 61.1 18.2 19.8 0.9 0.0

139194 35869 48635 53075 1580 35100 25.8 34.9 38.1 1.1 0.0

30780 18547 3594 7991 632 16100 60.3 11.7 26.0 2.1 0.1

9059570 4841592 4055509 15481 146988100 53.4 44.8 0.2 1.6

5426872 4675902 661976 8689 80305100 86.2 12.2 0.2 1.5

3632698 165690 3393533 6792 66683100 4.6 93.4 0.2 1.8

214634 201900 9971 307 2456100 94.1 4.6 0.1 1.1

60268 58460 1288 40 480100 97.0 2.1 0.1 0.8

164741 144 939 17900 281 1621100 88.0 10.9 0.2 1.0

228137 212688 9803 536 5110100 93.2 4.3 0.2 2.2

Dominican RepUblic, 1993TOTAL'

PercentageSANTO DOMINGO

Percentage

1629701100

512701100

66185640.6

31682861.8

101

21984513.5

8691817.0

74791545.9

108 95521.3

6. Households in housing units by type of solid waste disposal: country or area,urban/rural, cities, latest available year (continued)

(See notes at end of table.)Total Collected by Collected by Disposed of at Other Not stated

authorized unauthorized local dumpcollectors collectors

Santiago de los Caballeros 161654 73959 17344 70351Percentage 100 45.8 10.7 43.5

La Romana 37781 24349 4242 9190Percentage 100 64.4 11.2 24.3

San Pedro de Macoris 48017 10518 16238 21261Percentage 100 21.9 33.8 44.3

Guatemala, 19M'TOTAL 1591823 314488 1277 335



Percentage 100 3.3 96.7Nicaragua, 1998TOTAL 382015 241013 19999 121004



Percentage 100 5.3 1.2 93.5MANAGUA 127111 104 182 15782 7147

Percentage 100 82.0 12.4 5.6Leon 17827 16448 173 1206

Percentage 100 92.3 1.0 6.8Jinotepe 4325 3817 385 123

Percentage 100 88.3 8.9 2.8Matagalpa 9584 9584

Percentage 100 100.0

AMERICA, SOUTH


URBAN 33993829 28270934 3125247 2591623 6025Percentage 100 83.2 9.2 7.6 0.0

RURAL 7845874 1138105 232761 6475008 0Percentage 100 14.5 3.0 82.5 0.0

BRASILIA. OF 506538 467155 19274 20109 0Percentage 100 92.2 3.8 4.0 0.0

Sao Paolo 4653683 4242522 344367 66794 0Percentage 100 91.2 7.4 1.4 0.0

Rio de Janeiro 3167596 2673174 282278 208668 3476Percentage 100 84.4 8.9 6.6 0.1

Belo Horizonte 1045310 867814 80159 97337 0Percentage 100 83.0 7.7 9.3 0.0

Colombia, 1993'TOTAL 6205555 3777838 1450250 977467



Percentage 100 4.3 59.9 35.8BOGOTA 871372 830587 22769 18011

Percentage 100 95.3 2.6 2.1Cali 320420 289213 23563 7644

Percentage 100 90.3 7.4 2.4Medellin 364365 341652 15167 7546

Percentage 100 93.8 4.2 2.1Barranquilla 177 195 145117 15427 16651

Percentage 100 81.9 8.7 9.4ASIA

TOTALPercentage 100 37.8

102

41.6 2.3 18.3

6. Households in housing units by type of solid waste disposal: country or area,urban/rural, cities, latest available year (continued)


URBANPercentage

RURALPercentage

EUROPE

Total

100

100

Collected byauthorizedcollectors

57.4

7.7

Collected by Disposed of atunauthorized local dump

collectors

38.5

46.2

Other

1.3

3.8

Not stated

2.8

42.3

Austria, 1998TOTAL

PercentageWIEN

PercentageCroatia, 1991'TOTAL

PercentageFinland, 1998TOTALURBANRURALHELSINKITampereEspooTurkuHungary, 1996'TOTAL

PercentageURBAN

PercentageRURAL

PercentageBUDAPEST

Percentage

OCEANIA

2870517100 100

760477100 100

1504 762 7130n 52547847.4 34.9

2449115 24491151541437 1 541437

907678 907678290 128 290 128100 119 100 11988640 8864096542 96542

3991590 326131681.7

2554 218 233432291.4

1439920 92699464.4

815489 81182899.6

Pltcaim, 1999RURAL 22 22

Percentage 100 100.0Tonga,1998TOTAL 752 752

Percentage 100 100.0

NOTES

1 Data as reported; the total differs from the sum of categories.

2 Data on solid waste collected by authorized collectors refer to solid waste receptacles. Data on solid waste collected by unauthorized collectors refer to solid wasteenclosures and ash pits. The category "other" refers to solid waste dumped on roadside.

3 Data for the category "other" refer to buming, burying solid waste or dumping in any other form.

4 Data for the category "other" refer to the following: solid waste disposed or buried in property, solid waste disposed in open areas and solid waste disposed inrivers or sea.

S Data for the category "other" refer to buming or burying solid waste.

• Data reported in percentages and are based on an integrated sample survey of 3,600 households.

7 Data reported in percentages.

, Data for the category "disposed of at a local dump· also include data on solid waste collected by unauthorized collectors.

• Data refer to 2% sample.

103

7. Households in housing units by type of lighting: country or area, urban/rural, cities,latest available year

Technical notes

Definitions

Type of lighting refers to the source of lighting predominantly used by occupants of a housing unit. The sourcemay be electricity, gas, oil/kerosene or some other source.

Coverage


Percentage of households in housing units with electrical lighting: selectedAfrican countries

Percent100

80 -----.... ------- ... ---

60 ---....-----.---------

40 ---.-------- ...-------

20 ----------------------

104

7. Households in housing units by type of lighting: country or area, urban/rural, cities,latest available year


AFRICAB8nln,1994TOTAL

PercentageBotswana, 1996'·'TOTAL

PercentageURBAN

PercentageRURAL

PercentageGABORONE

PercentageFrancistown

PercentageBurkina Faso, 1991TOTAL

PercentageURBAN

PercentageRURAL

PercentageOUAGADOUGOU

PercentageBobo Dioulasso

PercentageKoudougou

PercentageOuahigouya

PercentageEgypt,1996TOTAL

PercentageURBAN

PercentageRURAL

PercentageCAIRO

PercentageAlexandria

PercentageGiza

PercentageShobra-EI-Khema

PercentageGambia, 1993"TOTAL

PercentageURBAN

PercentageRURAL

PercentageBANJUL

PercentageKanifing

PercentageKenya, 1989"TOTAL

PercentageURBAN

PercentageRURAL

Percentage

Total Electricity Gas Oillkerosene Other Not stated

7. Households In housing units b~ type of lighting: country or area, urban/rural, cities,latest available year (continued



NAIROBIPercentage 100 42.5 54.4 3.1

MombasaPercentage 100 35.5 60.7 3.8

Lesotho, 1996TOTAL 370972 12948 2139 190 929 164 956

Percentage 100 3.5 0.6 51.5 44.5Libyan Arab Jamahiriya, 1995TOTAL 589427 581 135 5279 3013



Percentage 100 97.7 2.0 0.3TRIPOLI 182084 180044 925 1115

Percentage 100 98.9 0.5 0.6BENGAZI' 64671 63674 2n 702

Percentage 100 98.5 0.4 1.1Zawia' 72414 70621 1153 64

Percentage 97.5 1.6 0.1Mauritius, 1990"TOTAL 236635 229225 7283 127



Percentage 100 95.4 4.6 0.1PORT-LOUIS 30780 30278 4n 25

Percentage 100 98.4 1.5 0.1Niger, 1998TOTAL 1 129126 48552 886364 182918 11291

Percentage 100 4.3 78.5 16.2 1.0Senegal, 1994'TOTAL 777 931 218745 3692 188150 367344


Percentage 100 63.0 0.7 5.8 30.4RURAL 447103 10230 1268 168 813 266 792

Percentage 100 2.3 0.3 37.8 59.7DAKAR 183349 133429 1128 6487 42305

Percentage 100 72.8 0.6 3.5 23.1Seychelles, 1997TOTAL 17878 16488 882 508


Percentage 100 90.9 6.0 3.1PORT VICTORIA 5815 5519 163 133

Percentage 100 94.9 2.8 2.3South Africa, 1996'TOTAL 9059572 5220825 35512 1 144 014 2583831 75390


Percentage 100 no 0.3 7.1 14.9 0.7RURAL 3632699 1041407 20388 758087 1 n6276 36563

Percentage 100 28.7 0.6 20.9 48.9 1.0PRETORIA 214635 200901 120 1055 10661 1898

Percentage 100 93.6 0.1 0.5 5.0 0.9CAPETOWN 60272 57884 45 1329 662 352

Percentage 100 96.0 0.1 2.2 1.1 0.6Durban 164741 140486 235 3641 19650 726

Percentage 100 85.3 0.1 2.2 11.9 0.4Johannesburg 228135 202470 353 3916 18470 2926

Percentage 100 88.8 0.2 1.7 8.1 1.3

106

7. Households In housing units by type of lighting: country or area, urban/rural, cities,latest available year (continued)


St. Helena, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentageZimbabwe, 1997"TOTAL

PercentageURBAN

PercentageRURAL

PercentageHARARE

PercentageBulawayo

PercentageAMERICA, NORTH


15n 1496 20 61100 94.9 1.3 3.9280 280100 100.0

1297 1216 20 61100 93.8 1.5 4.7

2510410100 23.9 0.3 13.3 62.5

926210100 61.0 0.6 31.1 7.3

1584200100 2.2 0.1 2.9 94.8

453037100 56.5 0.9 39.7 2.9

162281100 88.1 0.9 8.5 2.5

Bahamaa,1990TOTAL 61906 52267 181 8864 594



Percentage 100 41.2 0.5 55.2 3.1NASSAU 39864 37428 109 2139 188

Percentage 100 93.9 0.3 5.4 0.5Freeport. GR. Bahama 10388 10036 12 292 48

Percentage 100 96.6 0.1 2.8 0.5Coata Rica, 1997TOTAL 784128 747962 16979 7655 11532



Percentage 100 93.2 2.4 1.8 2.6Dominican RepUblic, 1993TOTAL 1629616 1316215 313401

Percentage 100 80.8 19.2SANTO DOMINGO 512701 499088 13613

Percentage 100 97.3 2.7Santiago de los Caballeros 161654 143 922 17732

Percentage 100 89.0 11.0La Romana 37781 30458 7323

Percentage 100 80.6 19.4San Pedro de Macoris 48017 36536 11481

Percentage 100 76.1 23.9Guatemala, 1994TOTAL 1591823 897920 476198 217705



Percentage 100 35.5 45.7 18.8Jamaica, 1991TOTAL 588340 381443 193134 1931 11832



Percentage 100 48.3 49.6 0.2 1.8KINGSTON 147279 127354 15664 739 3522

Percentage 100 86.5 10.6 0.5 2.4

107

7. Households in housing units~ type of lighting: country or area, urban/rural, cities,latest available year (continue)

(See notes at end 01 table.)

Total Electricity Gas Oil/kerosene Other Not stated

Spanish Town 26666 19412 6512 90 652Percentage 100 72.8 24.4 0.3 2.4

Portmore 22030 20076 1396 34 524Percentage 100 91.1 6.3 0.2 2.4

Mexico, 1996"TOTAL 20199 398 19382521 8168n



Percentage 100 86.2 13.8Nicaragua, 1998TOTAL 764 608 530358 221 130 13121


Percentage 100 91.0 7.9 1.1RURAL 326889 131 952 186 581 8356

Percentage 100 40.4 57.1 2.6MANAGUA 167515 165919 1596

Percentage 100 99.0 1.0Leon 22498 21200 1 112 186

Percentage 100 94.2 4.9 0.8Jinotepe 4325 4325

Percentage 100 100.0Matagalpa 10084 9n3 119 192

Percentage 100 96.9 1.2 1.9Panama, 1990TOTAL 524284 381676 848 136 246 5514

Percentage 100 72.8 0.2 26.0 1.1PANAMA 105409 104403 33 640 330

Percentage 100 99.0 0.0 0.6 0.3San Miguelito 51645 49976 33 1056 580

Percentage 100 96.8 0.1 2.0 1.1Colon 15471 15391 22 58

Percentage 100 99.5 0.1 0.4David 23741 20123 25 3165 428

Percentage 100 84.8 0.1 13.3 1.8Puerto Rico, 2000SANJUAN 153 742 153 742

Percentage 100 100.0Bayamon 68880 68880

Percentage 100 100.0Ponce 57010 57010

Percentage 100 100.0Carolina 57882 57882

Percentage 100 100.0Saint Lucia, 1999TOTAL 33079 24101 136 7105 1733

Percentage 100 72.9 0.4 21.5 5.2CASTRIES' 13179 11097 39 1529 501

Percentage 100 84.2 0.3 11.6 3.8Vieux-Fort' 3097 2069 12 722 291

Percentage 100 66.8 0.4 23.3 9.4Soulriere 1905 1356 4 497 48

Percentage 100 71.2 0.2 26.1 2.5Gros Islet' 3656 2950 18 523 161

Percentage 100 80.7 0.5 14.3 4.4United StatesTOTAL,1997 99487000 99447000

Percentage 99.9URBAN,1997 71317000 71304000

Percentage 99.9RURAL,l997 28170000 28143000

Percentage 99.9

108

7. Households in housing units by type of lighting: country or area, urban/rural, cities,latest available year (continued)


WASHINGtoN D.C., 1993Percentage

New YorkPercentage

Los Angeles, 1995Percentage

Houston, 1991Percentage

AMERICA, SOUTH

Total

1 519200100

4156100100

2947500100

1264200100

Electricity

1519200100.0

4156100100.0

2947500100.0

1264200100.0

Gas OiVkerosene Other Not stated

Argentina, 1991TOTAL 8515441 7957986 557455



Percentage 100 62.5 37.5Bolivia, 1997TOTAL 1822785 1227289 595496



Percentage 100 24.5 75.5LAPAZ. 179460 178460 1000

Percentage 100 99.4 0.6Santa Cruz de la Sierra 192990 188464 4526

Percentage 100 97.7 2.3Cochabamba 127761 127008 753

Percentage 100 99.4 0.6Oruro 51626 51315 311

Percentage 100 99.4 0.6Brazll,1998TOTAL 41839703 39401587 2295684 133064 9368



Percentage 100 72.8 26.4 0.8 0.0BRASILIA, OF 506 538 506119 210 209

Percentage 100 99.9 0.0 0.0Sao Paolo 4653683 4650214 3469

Percentage 100 99.9 0.1Rio de Janeiro 3167596 3158 904 1738 1739 5215

Percentage 100 99.7 0.1 0.1 0.2Belo Horizonte 1045310 1042324 995 1991

Percentage 100 99.7 0.1 0.2Uruguay, 1996TOTAL 938775 899951 38824



Percentage 100 74.0 26.0MONTEVIDEO 397689 395227 2462

Percentage 100 99.4 0.6Paysandu 20561 19896 665

Percentage 100 96.8 3.2Rivera 18010 17276 734

Percentage 100 95.9 4.1Saito 23411 22309 1102


109



ASIA

Total Electricity Gas OiVkerosene Other Not stated

Cambodia, 1998TOTAL

PercentageURBAN

PercentageRURAL

PercentagePHNOM PENH

PercentageKampong Cham

PercentageBat Dambang

PercentageSiem Riab

PercentageChina· Macau SAR, 1996TOTAL

PercentageCyprua, 1992TOTAL

PercentageURBAN

PercentageRURAL

PercentageNICOSIA

PercentageLimassol

PercentageLamaka

PercentagePatos

PercentageGeorgia, 1989'TOTAL

PercentageURBAN

PercentageRURAL

PercentageTBILISI

PercentageIran, 1996TOTAL

PercentageURBAN

PercentageRURAL

PercentageTEHERAN

PercentageMashhad

PercentageEsfahan

PercentageTabrizCity

PercentageMalaysia· Peninsular, 1991TOTAL

PercentageURBAN

PercentageRURAL

Percentage

2162086 326724 1726670 80 93115.1 79.9 3.7

315342 168946 135887 925053.6 43.1 2.9

1846744 157n8 1590783 716818.5 86.1 3.9

167758 134408 29393 378580.1 17.5 2.3

311151 36429 257312 1679811.7 82.7 5.4

146661 20398 122011 417613.9 83.2 2.8

125387 11882 111359 20819.5 88.8 1.7

113794 113n9 15100 100.0 0.0

185235 185235100 100.0

125320 125320100 100.0

59915 59915100 100.0

55006 55006100 100.0

41973 41973100 100.0

18467 18467100 100.0

9874 9874100 100.0

99.3

99.4

99.1

99.6

12280539 11706442 574097100 95.3 4.7

7929830 7857273 72557100 99.1 0.9

4350709 3849169 501540100 88.5 11.5

1653830 1649811 4019100 99.8 0.2

407n4 404 721 3053100 99.3 0.7

297297 296560 737100 99.8 0.2

268 752 262562 6190100 97.7 2.3

3526675 3192813 54869 231896 47097100 90.5 1.6 6.6 1.3

1954524 1887138 14051 33433 19902100 96.6 0.7 1.7 1.0

1572151 1305675 40818 198463 27195100 83.1 2.6 12.6 1.7

110



Total Electricity Gas OiVkerosene Other Not stated

W.P. KUAlA LUMPUR 242380 237549 1350 1828 1653Percentage 100 98.0 0.6 0.8 0.7

Majlis Perbandaran lpoh 84 762 82006 445 1050 1261Percentage 100 96.7 0.5 1.2 1.5

GeorgeTown 43152 43026 80 37 9Percentage 100 99.7 0.2 0.1 0.0

Malaysia - Sab8h,1991KOTA KINABALU 38740 31810 16n 4116 1137

Percentage 100 82.1 4.3 10.6 2.9Tawau 48051 36232 2663 8596 560

Percentage 100 75.4 5.5 17.9 1.2Sandakan 40367 29996 1597 4968 3806

Percentage 100 74.3 4.0 12.3 9.4Malaysia - Sar_ek, 1991KUCHING 68344 63846 1236 2813 450

Percentage 100 93.4 1.8 4.1 0.7Sibu 34658 31520 391 2266 481

Percentage 100 90.9 1.1 6.5 1.4Min 33284 29256 1180 2083 765

Percentage 100 87.9 3.5 6.3 2.3Peklstan,1998TOTAL 19344232 13766 495 5275625 302112



Percentage 100 60.7 37.6 1.7ISLAMABAD 86575 79125 7028 422

Percentage 100 91.4 8.1 0.5Sri Lanke, 1994TOTAL 3180 034 1391 n8 1782952 5305

Percentage 100 43.8 56.1 0.2COLOMBO 394 749 302369 91340 1040

Percentage 100 76.6 23.1 0.3Gampaha 363262 240982 121972 308

Percentage 100 66.3 33.6 0.1Kalutara 197051 101020 95649 382

Percentage 100 51.3 48.5 0.2Kandy 248347 129852 118361 134

Percentage 100 52.3 47.7 0.1Syrien Arab Republic, 1994TOTAL 2185 757 2091628 93955 174

Percentage 100 95.7 4.3 0.0URBAN 1 178106 1167373 10648 85


Percentage 100 91.7 8.3 0.0DAMASCUS 233859 232653 1172 89

Percentage 100 99.5 0.5 0.0Laltakia 129784 128312 1468 4

Percentage 100 98.9 1.1 0.0Horns 179387 175274 4107 6

Percentage 100 97.7 2.3 0.0Aleppo 458237 414714 43471 52

Percentage 100 90.5 9.5 0.0Thsllend,1996TOTAL 15002591 14507029 43519 376148 66591 9304

Percentage 100 96.7 0.3 2.5 0.4 0.1

URBAN 3046293 3037815 207 5295 1933 1043Percentage 100 99.7 0.0 0.2 0.1 0.0

RURAL 11956 299 11469214 43312 370852 64659 8262Percentage 100 95.9 0.4 3.1 0.5 0.1

111



EUROPE


,TOTAL

PercentageURBAN

PercentageRURAL

PercentageWIEN

PercentageCroatia, 1991TOTAL

PercentageFinland, 1998TOTAL

PercentagePortugal, 1991TOTAL

PercentageURBAN

PercentageRURAL

PercentageL1SBOA

PercentagePorto

PercentageAmandora

PercentageSetubal

PercentageOCEANIA

Guam, 1990TOTAL

PercentageURBAN

PercentageRURAL

PercentageDededo

PercentageTamuning

PercentageYigo

PercentagePitcairn, 1999RURAL

PercentageTonga,1996'TOTAL

PercentageURBAN

PercentageRURAL

Percentage

2812789100 100.0

2200 102100 100.0

612687100 100.0

694853100 100.0

1504762 149239699.2

2449115 7234870195.9

3143272 3072685 70587100 97.8 2.2

1557120 1545389 11731100 99.2 0.8

1586152 1527296 58856100 96.3 3.7

244013 2424n 1536100 99.4 0.6

98895 98383 512100 99.5 0.5

43694 43330 364100 99.2 0.8

28073 27834 239100 99.1 0.9

31373 30829 544100 98.3 1.7

12351 12226 125100 99.0 1.0

19022 18608 419100 97.8 2.2

6963 6841 122100 98.2 1.8

4982 4970 12100 99.8 0.2

3370 3293 n100 97.7 2.3

22 22100 100.0

16194 12727 673 5888 67578.6 4.2 36.4 4.2

3665 3414 26 615 12893.2 0.7 16.8 3.5

12529 9313 647 5273 54774.3 5.2 42.1 4.4

112

NOTESt Data as reported; the total differs from the sum of categories.

2 Data for gas refer to candles.

3 The category ·other" refers to housing units without electricity.

• Data for the category ·other" include candles and battery lamps.

• Data refer to population and not households.

• Data reported in percentages only.


• Not included are 430 units that use solar lighting. As one household can use one or more sources of lighting the sum of categories does not add up to total.

113

--~~-~--~~~--- ----------------------------------

8. Population in cities by sex and age: latest available year

Technical notes

DefinitionsTotal population is, unless otherwise indicated, the de facto (present-in-area) population enumerated at the mostrecent census or other statistical exercise for which data are available.Age is the interval of time between the date of birth and the date of the census or other statistical inquiry used tocollect data, expressed in completed solar years.

Coverage

Data are presented for 267 cities in 80 countries or areas.

Population age pyramids: selected cities

Johannesburg, South Africa Mexico City, Mexico

Female

o 200 400 800 800 1000 1200

ThousandsThousands

Male80+ ,----------...-----------,

7So7971).74 .

8s.8960-6456-59!lC).54_9 .40-4436-3930-342So292\).24lSo1910-14

So90-4

1000 800 800 400 20020 30 40 60

Thousands

Female

10

Male

Thousands

80+ ~~~~ .7So7971).7466-8960-6456-59 .!lC).54_940-4436-3930-3426-292\).241So1910-14

So90-4 '-- __

6050403020100

Buenos Aires, Argentina Tehran, Iran

Male Female Male Female

Sydney, Australia

100 200 300 400 500

Thousands

80+,---------...--------~

7So7971).748s.8960-6466-59 .!lC).544s.4940-44

~: I··~······· .2So292\).24lSol910-14

So90-4'-----

500 400 300 200 100

Thousands

80+7So79~::::::::::::::::::::::::::::::: .....

60-6456-59!lC).54_9:~ :::::::::::::::::..30-34 .26-29 .2\).24 .

lSo1910-14

So90-4

800 500 400 300 200 100 0 100 200 300 400 500 600

Thou.nds Thousands

Bruxelles, Belgium

Male Female Male Female80+

7So79~::::::::::::::::::::::::: .

60-64 .56-59!lC).5445-4!140-4436-3930-3426-292\).24lSo1910-14

So90-4'-- __

50 40 30 20 10

Thousands

10 20 30 40 50

Thousands

80+7So7971).74 .8s.89······························

60-6466-59!lC).544$-4940-4436-3930-3426-292\).24lSo1910-14

So90-4

200 150 100 50

Thousands

50 100 150 200

Thousands

114

8. Population in cities by sex and age: latest available year


AFRICA

Both sexes

Number Per cent

Male

Number Percent

Female

Number Percent

Benln,1994PORTO-NOVO

Total 179138 100 86491 100.0 92647 100.0Under 1 year 4971 2.8 2503 2.9 2468 2.71-4 19151 10.7 9734 11.3 9417 10.2

5-9 28655 16.0 13880 16.0 14n5 15.910-14 26317 14.7 12633 14.6 13684 14.815-19 20814 11.6 11021 12.7 9793 10.6

20-24 17666 9.9 9157 10.6 8509 9.225-29 14442 8.1 6663 7.7 7n9 8.430-34 10780 6.0 4953 5.7 582"7 6.3

35-39 8940 5.0 4246 4.9 4694 5.140-44 6488 3.6 3030 3.5 3458 3.7

45-49 4815 2.7 2191 2.5 2624 2.8

50-54 4059 2.3 1744 2.0 2315 2.5

55-59 2933 1.6 1274 1.5 1659 1.8

60-64 3017 1.7 1217 1.4 1854 2.0

65-69 2030 1.1 790 0.9 1240 1.3

70-74 1587 0.9 593 0.7 994 1.1

75-79 782 0.4 269 0.3 513 0.6

Unknown 397 0.2 225 0.3 172 0.2

Cotonou'Total 536827 262812 274015

Under 1 year 14060 2.6 7116 2.7 6944 1.3

1-4 54944 10.2 2n21 10.5 27223 9.9

5-9 74945 14.0 35219 13.4 39726 14.5

10-14 72667 13.5 32171 12.2 40496 14.8

15-19 63861 11.9 30222 11.5 33639 12.3

20-24 62686 11.7 32316 12.3 30370 11.1

25-29 55991 10.4 28n2 10.9 27219 9.9

30-34 40101 7.5 20729 7.9 19372 7.1

35-39 29673 5.5 14958 5.7 14715 5.4

40-44 20429 3.8 10773 4.1 9656 3.5

45-49 13998 2.6 7263 2.8 6735 2.5

50-54 10713 2.0 5511 2.1 5202 1.9

55·59 7153 1.3 3601 1.4 3552 1.3

60-64 6037 1.1 2613 1.0 3424 12

65-69 3474 0.6 1515 0.6 1959 0.7

70-74 2502 0.5 991 0.4 1511 0.6

75-79 1210 0.2 463 0.2 747 0.3

Unknown 546 0.1 320 0.1 226 0.1

Parakou'Total 1035n 52996 50581

Under 1 year 3021 2.9 1538 2.9 1483 2.9

1-4 13782 13.3 6961 13.1 6821 13.5

5·9 17063 16.5 8644 16.3 8419 16.6

10-14 13387 12.9 6659 12.6 6728 13.3

15-19 11327 10.9 5786 10.9 5541 11.0

20·24 10316 10.0 5455 10.3 4861 9.6

25-29 87n 8.5 4384 8.3 4393 8.7

30-34 6660 6.4 3330 6.3 3330 6.6

35-39 5333 5.1 2750 5.2 2583 5.1

40-44 3883 3.7 2089 3.9 1794 3.5

45-49 2809 2.7 1559 2.9 1250 2.5

50·54 2049 2.0 1105 2.1 944 1.9

55-59 1314 1.3 n8 1.5 536 1.1

115

8. Population in cities by sex and age: latest available year (continued)

(5ee notes at end of table.)

Both sexes Male Female

Number Percent Number Percent Number Percent60-64 1223 1.2 668 1.3 555 1.165-69 652 0.6 359 0.7 293 0.670·74 614 0.6 335 0.6 279 0.675·79 257 0.2 134 0.3 123 0.2Unknown 114 0.1 68 0.1 46 0.1Abomey"Total 66595 31046 35549Under 1 year 1984 3.0 1003 3.2 981 2.81-4 7580 11.4 3827 12.3 3753 10.65·9 10463 15.7 5292 17.0 5171 14.510-14 8791 13.2 4590 14.8 4201 11.815·19 7062 10.6 3730 12.0 3332 9.420·24 5691 8.5 2747 8.8 2944 8.325-29 4540 6.8 1890 6.1 2650 7.530-34 4713 7.1 1964 6.3 2749 7.735-39 3065 4.6 1165 3.8 1900 5.340-44 2468 3.7 954 3.1 1514 4.345-49 1968 3.0 733 2.4 1235 3.550-54 2039 3.1 753 2.4 1286 3.655-59 1293 1.9 493 1.6 800 2.360-64 1730 2.6 643 2.1 1087 3.165-69 1110 1.7 435 1.4 675 1.970·74 1168 1.8 485 1.6 683 1.975·79 541 0.8 256 0.8 285 0.8Unknown 26 0.0 11 0.0 15 0.0Bota_IlII.1llHGABORONETotal 133468 100.0 68248 100.0 65220 100.01-4 13071 9.8 6410 9.4 6661 10.25·9 11676 8.7 5486 8.0 6190 9.510-14 11366 8.5 4984 7.3 6382 9.815-19 16179 12.1 7374 10.8 8805 13.520-24 22604 16.9 11811 17.3 10793 16.525-29 19143 14.3 10140 14.9 9003 13.830-34 13526 10.1 7122 10.4 6404 9.835-39 9689 7.3 5221 7.7 4468 6.940-44 5934 4.4 3440 5.0 2494 3.845-49 3912 2.9 2398 3.5 1514 2.350-54 2527 1.9 1637 2.4 890 1.455·59 1587 1.2 987 1.4 600 0.960-64 982 0.7 606 0.9 376 0.665+ 1272 1.0 632 0.9 640 1.0FrancistownTotal 65244 100.0 31665 100.0 33579 100.01-4 8659 13.3 4324 13.7 4335 12.95-9 7256 11.1 3328 10.5 3928 11.710-14 6422 9.8 2n3 8.8 3649 10.915-19 7546 11.6 3198 10.1 4348 12.920-24 8992 13.8 4211 13.3 4781 14.225-29 n39 11.9 3846 12.1 3893 11.630·34 5780 8.9 2888 9.1 2892 8.635·39 4056 6.2 2147 6.8 1909 5.740-44 2745 4.2 1571 5.0 1174 3.545-49 1737 2.7 1025 3.2 712 2.150-54 1424 2.2 816 2.6 608 1.855-59 992 1.5 570 1.8 422 1.360-64 645 1.0 347 1.1 298 0.965+ 1251 1.9 621 2.0 630 1.9

116

8. Population In cities by sex and age: latest available year (continued)



Number Percent Number Percent Number Percent

Burkina Faao,1991OUAGADOUGOUTotal 634479 100.0 322125 100.0 312354 100.0

Under 1 year 15837 2.5 8549 2.7 7288 2.3

14 69646 11.0 35364 11.0 34282 11.05-9 100818 15.9 49018 15.2 51800 16.6

10-14 90274 14.2 44125 13.7 46149 14.8

15-19 79002 12.5 41709 12.9 37293 11.920-24 65695 10.4 36420 11.3 29275 9.4

25-29 49063 7.7 23444 7.3 25619 8.2

30-34 38974 6.1 19238 6.0 19736 6.3

35-39 33280 5.2 16861 5.2 16419 5.3

4044 25443 4.0 13021 4.0 12422 4.0

4549 18099 2.9 8730 2.7 9369 3.0

50-54 13208 2.1 8861 2.8 4347 1.4

55-59 13002 2.0 5776 1.8 7226 2.3

60-64 7197 1.1 3833 1.2 3364 1.1

65-69 4550 0.7 2138 0.7 2412 0.8

70·74 3940 0.6 1937 0.6 2003 0.6

75·79 1580 0.2 661 0.2 919 0.3

SOt 1668 0.3 768 0.2 900 0.3

Not Stated 3203 0.5 1672 0.5 1531 0.5

Bobo Dioulasso

Total 269360 100.0 133843 100.0 135517 100.0

Under 1 year 7251 2.7 3593 2.7 3658 2.7

14 31418 11.7 15691 11.7 15727 11.6

5-9 44349 16.5 22058 16.5 22291 16.4

10-14 39624 14.7 18874 14.1 20750 15.3

15-19 32978 12.2 17189 12.8 15789 11.7

20-24 24657 9.2 12926 9.7 11731 8.7

25·29 20668 7.7 10130 7.6 10538 7.8

30-34 13294 4.9 6779 5.1 6515 4.8

35-39 12444 4.6 5780 4.3 6664 4.9

4044 9560 3.5 4142 3.1 5418 4.0

4549 8864 3.3 3929 2.9 4935 3.6

50·54 5938 2.2 3209 2.4 2729 2.0

55-59 6684 2.5 2909 2.2 3775 2.8

60-64 3802 1.4 2230 1.7 1572 1.2

65-69 2728 1.0 1599 1.2 1129 0.8

70-74 1808 0.7 1064 0.8 744 0.5

75·79 870 0.3 558 0.4 312 0.2

SOt 1059 0.4 403 0.3 656 0.5

Not Stated 1364 0.5 780 0.6 584 0.4

KoudougouTotal 58838 100.0 28722 100.0 30116 100.0

Under 1 year 1123 1.9 501 1.7 622 2.1

14 6941 11.8 3752 13.1 3189 10.6

5-9 9896 16.8 4660 16.2 5236 17.4

10-14 8379 14.2 4475 15.6 3904 13.0

15-19 8852 15.0 4490 15.6 4362 14.5

20·24 5134 8.7 3259 11.3 1875 6.225-29 3630 6.2 1541 5.4 2089 6.9

30-34 2740 4.7 1407 4.9 1333 4.4

35-39 2110 3.6 809 2.8 1301 4.3

4044 1874 3.2 748 2.6 1126 3.7

4549 1717 2.9 561 2.0 1156 3.8

50·54 1286 2.2 536 1.9 750 2.5

117




Number Percent Number Percent Number Percent55-59 1483 2.5 561 2.0 922 3.1-60-64 794 1.3 170 0.6 624 2.165-69 389 0.7 291 1.0 98 0.370-74 316 0.5 97 0.3 219 0.775-79 246 0.4 148 0.5 98 0.380+ 255 0.4 110 0.4 145 0.5Not Stated 1673 2.8 606 2.1 1067 3.5

OuahigouyaTotal 55133 100.0 25979 100.0 29154 100.0Under 1 year 1645 3.0 677 2.6 968 3.31-4 6579 11.9 3084 11.9 3495 12.05-9 9816 17.8 4166 16.0 5650 19.410-14 8453 15.3 4031 15.5 4422 15.215-19 6238 11.3 3445 13.3 2793 9.620-24 3768 6.8 2492 9.6 1276 4.425-29 3316 6.0 1477 5.7 1839 6.330-34 2209 4.0 968 3.8 1221 4.235-39 2101 3.8 816 3.1 1285 4.440-44 1881 3.4 921 3.5 960 3.345·49 1515 2.7 698 2.7 817 2.850-54 1296 2.4 441 1.7 855 2.955-59 1684 3.1 415 1.6 1269 4.460-64 1321 2.4 510 2.0 811 2.865-69 1348 2.4 728 2.8 620 2.170-74 605 1.1 321 1.2 284 1.075-79 558 1.0 360 1.4 198 0.780+ 495 0.9 281 1.1 214 0.7Not Stated 305 0.6 128 0.5 177 0.6

Congo,1984BRAZZAVILLE'Total 585812 293343 2924690-4 96726 16.5 48574 16.6 48152 16.55·9 85281 14.6 42228 14.4 43053 14.710-14 73839 12.6 35203 12.0 38636 13.215-19 70053 12.0 32892 11.2 37161 12.720-24 71522 12.2 36907 12.6 34615 11.825-29 54098 9.2 28038 9.6 26060 8.930-34 35922 6.1 18317 6.2 17605 6.035·39 26763 4.6 13983 4.8 12780 4.440-44 19127 3.3 10353 3.5 8774 3.045-49 16809 2.9 9092 3.1 7717 2.650-54 11547 2.0 6236 2.1 5311 1.855-59 8057 1.4 4248 1.4 3809 1.360-64 5727 1.0 2687 0.9 3040 1.065-69 3791 0.6 1716 0.6 2075 0.7Not Stated 2411 0.4 1200 0.4 1211 0.4

Pointe-NoireTotal 294203 100.0 149613 100.0 144590 100.00-4 52747 17.9 26580 17.8 26167 18.15-9 44752 15.2 22145 14.8 22607 15.610-14 36755 12.5 17785 11.9 18968 13.115-19 32883 11.2 15805 10.6 17078 11.820-24 32737 11.1 16479 11.0 16258 11.225-29 27924 9.5 14319 9.6 13605 9.430-34 19297 6.6 10268 6.9 9029 6.235-39 13738 4.7 7712 5.2 6026 4.240-44 9514 3.2 5597 3.7 3917 2.7

118

8. Population in cities by sex and age: latest available year (continued) .



Number Percent Number Percent Number Percent45-49 8445 2.9 4918 3.3 3527 2.450-54 5419 1.8 3074 2.1 2345 1.655-59 3723 1.3 2002 1.3 1721 1.260-64 2265 0.8 1071 0.7 1194 0.865-69 1457 0.5 674 0.5 783 0.570-74 942 0.3 423 0.3 519 0.475-79 368 0.1 144 0.1 224 0.280+ 227 0.1 94 0.1 133 0.1Not Stated 1012 0.3 521 0.3 491 0.3

Doligie4

Total 49134 24284 248500-4 8713 17.7 4410 18.2 4303 17.35-9 7640 15.5 3765 15.5 3875 15.610-14 6727 13.7 3267 13.5 3640 14.615-19 6200 12.6 3120 12.8 3080 12.420-24 4985 10.1 2461 10.1 2524 10.225·29 3571 7.3 1674 6.9 1897 7.630-34 2704 5.5 1312 5.4 1392 5.635-39 2013 4.1 1005 4.1 1008 4.140-44 1555 3.2 824 3.4 731 2.945-49 1474 3.0 755 3.1 719 2.950-54 1082 2.2 544 2.2 538 2.255-59 995 2.0 454 1.9 541 2.260-64 617 1.3 269 1.1 348 1.465-69 413 0.8 207 0.9 206 0.8Not Stated n 0.2 40 0.2 37 0.1Nkayi'Total 36540 17925 186150-4 7094 19.4 3604 20.1 3490 18.75·9 6140 16.8 3039 17.0 3101 16.710-14 5133 14.0 25n 14.4 2556 13.715-19 4224 11.6 2134 11.9 2090 11.220-24 2720 7.4 1182 6.6 1538 8.325·29 2501 6.8 934 5.2 1567 8.430-34 2203 6.0 887 4.9 1316 7.135-39 2041 5.6 1047 5.8 994 5.340-44 1518 4.2 850 4.7 668 3.645-49 1178 3.2 717 4.0 461 2.550-54 715 2.0 415 2.3 300 1.655-59 418 1.1 232 1.3 186 1.060-64 232 0.6 111 0.6 121 0.765-69 161 0.4 72 0.4 89 0.5Not Stated 116 0.3 48 0.3 68 0.4

Egypt, 1996CAIROTotal 6800992 100.0 3486260 100.0 3314732 100.0Under 1 year 58892 0.9 30057 0.9 28835 0.9

1-4 548832 8.1 279919 8.0 268913 8.15-9 690718 10.2 354145 10.2 336573 10.210-14 782049 11.5 401401 11.5 380648 11.515-19 n9539 11.5 400980 11.5 378559 11.420-24 632882 9.3 328600 9.4 304282 9.225-29 52n58 7.8 264608 7.6 263150 7.9

30·34 509488 7.5 255753 7.3 253735 7.735-39 486104 7.1 239428 6.9 248676 7.4

40-44 442580 6.5 224233 6.4 218347 6.645-49 371900 5.5 192150 5.5 179750 5.4

50-54 293555 4.3 148192 4.3 145363 4.455-59 207820 3.1 111727 3.2 96093 2.9

60-64 206161 3.0 108898 3.1 97263 2.9

65-69 123124 1.8 70642 2.0 52482 1.6

119




Number Percent Number Percent Number Percent70-74 81611 1.2 44061 1.3 37550 1.175+ 57978 0.9 31466 0.9 26512 0.8Not Stated 1 0.0 1 0.0

AlexandriaTotal 3339076 100.0 1707477 100.0 1631599 100.0Under 1 year 17107 0.5 8827 0.5 8280 0.51-4 283691 8.5 144749 8.5 138942 8.55-9 360585 10.8 185257 10.8 175328 10.710-14 393465 11.8 202349 11.9 191116 11.715-19 360326 10.8 184408 10.8 175918 10.820-24 292323 8.8 147220 8.6 145103 8.925-29 259861 7.8 125437 7.3 134424 8.230-34 257095 7.7 126216 7.4 130879 8.035-39 242485 7.3 118904 7.0 123581 7.640-44 224587 6.7 115174 6.7 109413 6.745-49 183576 5.5 97291 5.7 86285 5.350-54 144456 4.3 73977 4.3 70479 4.355-59 95511 2.9 51698 3.0 43813 2.760-64 100990 3.0 55022 3.2 45968 2.865-69 56788 1.7 34025 2.0 22763 1.470-74 38930 1.2 21624 1.3 17306 1.175+ 27300 0.8 15299 0.9 12001 0.7

Giza

Total 2221817 100.0 1139665 100.0 1082152 100.0Under 1 year 25808 1.2 13193 1.2 12615 1.21-4 183711 8.3 94078 8.3 89633 8.35-9 244737 11.0 125685 11.0 119052 11.010-14 271993 12.2 139318 12.2 132675 12.315-19 257705 11.6 133323 11.7 124882 11.520-24 199506 9.0 102864 9.0 96642 8.925-29 169102 7.6 79999 7.0 89103 8.230-34 169726 7.6 82352 7.2 87374 8.135-39 165338 7.4 81037 7.1 84301 7.840-44 145335 6.5 75766 6.6 69569 6.445-49 117578 5.3 62769 5.5 54809 5.150-54 89243 4.0 46550 4.1 42693 3.955-59 60317 2.7 33801 3.0 26516 2.560-64 55583 2.5 30987 2.7 24596 2.365-69 31669 1.4 18851 1.7 12818 1.270-74 20281 0.9 11195 1.0 9086 0.875+ 14185 0.6 7897 0.7 6288 0.6

Shubra EI-KhemaTotal 870776 100.0 449271 100.0 421505 100.0Under 1 year 11269 1.3 5796 1.3 5473 1.31-4 79201 9.1 40274 9.0 38927 9.25-9 103389 11.9 52967 11.8 50422 12.010-14 118558 13.6 60765 13.5 57793 13.715-19 109463 12.6 56052 12.5 53411 12.720·24 79189 9.1 39933 8.9 39256 9.325-29 68973 7.9 33357 7.4 35616 8.530-34 65398 7.5 32584 7.3 32814 7.835-39 60585 7.0 30419 6.8 30166 7.240-44 52319 6.0 28053 6.2 24266 5.845-49 40839 4.7 22434 5.0 18405 4.450-54 28504 3.3 15420 3.4 13084 3.155-59 19329 2.2 11545 2.6 7784 1.860-64 16056 1.8 9170 2.0 6886 1.6

120





65-69 8820 1.0 5518 1.2 3302 0.870-74 5199 0.6 2998 0.7 2201 0.575+ 3684 0.4 1986 0.4 1698 0.4

Not stated 1 0.0 0.0 1 0.0

Gambla,1993BANJUL'

Total 42326 22268 20058

Under 1 year 981 2.3 501 2.3 480 2.4

1-4 3833 9.1 1938 8.7 1895 9.4

5-9 4370 10.3 2087 9.4 2283 11.4

10-14 4459 10.5 2035 9.1 2424 12.1

15-19 5161 12.2 2345 10.5 2816 14.0

20-24 5360 12.7 2973 13.4 2387 11.9

25-29 4547 10.7 2661 12.0 1886 9.4

30-34 3260 7.7 1927 8.7 1339 6.7

35-39 2389 5.6 1406 6.3 983 4.9

40-44 1820 4.3 1090 4.9 730 3.6

45-49 1285 3.0 765 3.4 520 2.6

50-54 1059 2.5 581 2.6 478 2.4

55-59 717 1.7 399 1.8 318 1.6

60-64 700 1.7 347 1.6 353 1.8

65-69 452 1.1 221 1.0 231 1.2

70-74 424 1.0 198 0.9 226 1.1

75-79 233 0.6 117 0.5 116 0.6

80+ 1817 4.3 808 3.6 1009 5.0

Not Stated 916 2.2 541 2.4 375 1.9

Kanifing

Total 228214 100.0 118257 100.0 109957 100.0

Under 1 year 6094 2.7 3032 2.6 3062 2.8

1-4 25887 11.3 12957 11.0 12930 11.8

5-9 28421 12.5 13698 11.6 14723 13.4

10-14 24642 10.8 11465 9.7 131n 12.0

15·19 27514 12.1 12920 10.9 14594 13.3

20-24 27328 12.0 14533 12.3 12795 11.6

25-29 23847 10.4 12890 10.9 10957 10.0

30-34 16253 7.1 8993 7.6 7260 6.6

35·39 12051 5.3 6952 5.9 5099 4.6

40-44 8853 3.9 5293 4.5 3580 3.2

45-49 6272 2.7 3911 3.3 2361 2.1

50-54 4626 2.0 2765 2.3 1861 1.7

55-59 2799 1.2 1730 1.5 1069 1.0

60-64 2738 1.2 1478 1.2 1260 1.1

65-69 1567 0.7 822 0.7 745 0.7

70-74 1304 0.6 617 0.5 687 0.6

75-79 667 0.3 309 0.3 358 0.3

80+ 1203 0.5 466 0.4 737 0.7

Not Stated 6148 2.7 3426 2.9 2722 2.5

Kenye, 1989NAIROBI'

Total 1324570 752597 571973

Under 1 year 42324 3.2 21450 2.9 20874 3.6

1-4 133603 10.1 67375 9.0 66228 11.6

5-9 133011 10.0 652n 8.7 6n34 11.8

10-14 106447 8.0 49676 6.6 56nl 9.9

15-19 127762 9.6 55784 7.4 71978 12.6

20-24 212735 16.1 118153 15.7 94582 16.5

25-29 195293 14.7 120344 16.0 74949 13.1

121




Number Percent Number Percent Number Percent30-34 122565 9.3 80959 10.8 41606 7.335-39 86008 6.5 57589 7.7 28419 5.040-44 59121 4.5 41910 5.6 17211 3.045-49 37987 2.9 27530 3.7 10457 1.850·54 25842 2.0 19173 2.5 6669 1.255·59 13n9 1.0 9898 1.3 3881 0.760-64 8573 0.6 5392 0.7 3181 0.665-69 5060 0.4 3136 0.4 1924 0.370·74 3035 0.2 1657 0.2 1378 0.275·79 2083 0.2 1102 0.1 981 0.280+ 2558 0.2 1062 0.1 1496 0.3Mombasa'Total 461593 256674 207079Under 1 year 14370 3.1 7306 2.8 7064 3.41-4 64265 13.9 32434 12.6 31831 15.45·9 51626 11.2 25529 9.9 26097 12.610·14 42880 9.3 20957 8.2 21923 10.615-19 48767 10.6 24129 9.4 24638 11.920·24 61355 13.3 33963 13.2 27392 13.225·29 59032 12.8 35129 13.7 23903 11.530·34 39394 8.5 24690 9.6 14704 7.135·39 29262 6.3 18417 7.2 10845 5.240-44 20983 4.5 13699 5.3 7284 3.545-49 14853 3.2 9823 3.8 5030 2.450·54 11154 2.4 7401 2.9 3753 1.855·59 6458 1.4 4076 1.6 2382 1.260·64 4413 1.0 2436 0.9 19n 1.065-69 2no 0.6 1488 0.6 1282 0.670-74 1765 0.4 921 0.4 844 0.475·79 1071 0.2 543 0.2 528 0.380+ 1175 0.3 598 0.2 5n 0.3Kisumu'Total 192733 99879 92854Under 1 year 8163 4.2 40n 4.1 4086 4.41-4 32578 16.9 16171 16.2 16407 17.75-9 25925 13.5 12647 12.7 13278 14.310·14 22731 11.8 10596 10.6 12135 13.115-19 21767 11.3 9740 9.8 12027 13.020-24 23426 12.2 11730 11.7 11696 12.625-29 20264 10.5 10954 11.0 9310 10.030-34 14137 7.3 8440 8.5 5697 6.135-39 9849 5.1 6030 6.0 3819 4.140-44 7049 3.7 4569 4.6 2480 2.745-49 4859 2.5 3125 3.1 1734 1.950·54 3534 1.8 2271 2.3 1263 1.455-59 2383 1.2 1415 1.4 968 1.060-64 1655 0.9 887 0.9 768 0.865-69 939 0.5 490 0.5 449 0.570-74 659 0.3 329 0.3 330 0.475-79 358 0.2 183 0.2 175 0.280+ 448 0.2 217 0.2 231 0.2Nakuru'Total 163927 88042 75885Under 1 year 6020 3.7 3065 3.5 2955 3.91-4 25750 15.7 13078 14.9 12672 16.75-9 20897 12.7 10371 11.8 10526 13.910-14 17126 10.4 8071 9.2 9055 11.9

122





15·19 17790 10.9 7966 9.0 9824 12.920-24 23565 14.4 12027 13.7 11538 15.225-29 20840 12.7 12064 13.7 8776 11.630-34 12865 7.8 8008 9.1 4857 6.435·39 9118 5.6 5783 6.6 3335 4.440-44 5824 3.6 3952 4.5 1872 2.545-49 3845 2.3 2648 3.0 1197 1.650·54 2580 1.6 1884 2.1 696 0.955·59 1325 0.8 893 1.0 432 0.660-64 774 0.5 457 0.5 317 0.465·69 526 0.3 287 0.3 239 0.370·74 345 0.2 159 0.2 186 0.275-79 252 0.2 124 0.1 128 0.280+ 326 0.2 148 0.2 178 0.2Lesotho, 1996MASERUTotal 137837 100.0 64315 100.0 73522 100.00-4 13948 10.1 6964 10.8 6984 9.55·14 29638 21.5 14637 22.8 15001 20.415-44 70757 51.3 31307 48.7 39450 53.745·54 8609 6.2 4273 6.6 4336 5.955+ 7655 5.6 3536 5.5 4119 5.6Not Stated 7230 5.2 3598 5.6 3632 4.9Libyan Arab Jamahiriya, 1995TRIPOLI

Total 1311761 100.0 684923 100 626826 1000-4' 140227 10.7 71566 10.4 68651 11.05-9 152070 11.6 76881 11.2 75189 12.010·14 158861 12.1 80445 11.7 78416 12.515·19 165382 12.6 84502 12.3 80880 12.920·24 156941 12.0 82641 12.1 74300 11.925·29 131394 10.0 70241 10.3 61153 9.830-34 102846 7.8 55790 8.1 47056 7.535·39 74411 5.7 40404 5.9 34007 5.440-44 50725 3.9 26462 3.9 24263 3.945-49 41903 3.2 21869 3.2 20034 3.250·54 33236 2.5 18566 2.7 14670 2.355·59 31418 2.4 17167 2.5 14251 2.360·64 25316 1.9 13943 2.0 11373 1.865·69 20707 1.6 11262 1.6 9445 1.570·74 12112 0.9 6367 0.9 5745 0.975·79 6968 0.5 3504 0.5 3464 0.680+ 7244 0.6 3313 0.5 3931 0.6

BENGAZITotal 666699 100.0 350149 100.0 316550 100.00·4' 81359 12.2 41536 11.9 39823 12.65·9 81509 12.2 41538 11.9 39971 12.610-14 81701 12.3 41744 11.9 39957 12.615·19 85053 12.8 43568 12.4 41485 13.120·24 79563 11.9 41717 11.9 37846 12.025·29 63863 9.6 34839 9.9 29024 9.230-34 49248 7.4 27582 7.9 21666 6.8

35-39 34236 5.1 18987 5.4 15249 4.840-44 26703 4.0 13805 3.9 12898 4.145-49 23634 3.5 12541 3.6 11093 3.550-54 18012 2.7 10105 2.9 7907 2.555·59 13691 2.1 7415 2.1 6276 2.0

123





60-64 10061 1.5 5520 1.6 4541 1.465-69 7686 1.2 4120 1.2 3568 1.170-74 4722 0.7 2425 0.7 2297 0.775-79 2651 0.4 1315 0.4 1336 0.480+ 3007 0.5 1392 0.4 1615 0.5

zawiaTotal 516884 100.0 271164 100.0 245720 100.00-4' 58451 11.3 29914 11.0 28537 11.65·9 61613 11.9 31104 11.5 30509 12.410-14 62570 12.1 31933 11.8 30637 12.515·19 63797 12.3 32710 12.1 31087 12.720-24 60901 11.8 32149 11.9 28752 11.725-29 52731 10.2 28434 10.5 24297 9.930-34 39871 7.7 22003 8.1 17868 7.335·39 27819 5.4 15397 5.7 12422 5.140-44 17422 3.4 9284 3.4 8138 3.345-49 14830 2.9 7800 2.9 7030 2.950-54 12069 2.3 6596 2.4 5473 2.255-59 12285 2.4 6752 2.5 5533 2.360-64 10041 1.9 5282 1.9 4759 1.965-69 9249 1.8 4885 1.8 4364 1.870-74 5689 1.1 3001 1.1 2688 1.175·79 3416 0.7 1768 0.7 1648 0.780+ 4130 0.8 2152 0.8 1978 0.8MisurataTotal 488567 100.0 250619 100.0 237948 100.00-4' 68215 14.0 34804 13.9 33411 14.05-9 71163 14.6 36242 14.5 34921 14.710-14 66751 13.7 33953 13.5 32798 13.815-19 62250 12.7 31733 12.7 30517 12.820-24 51347 10.5 26212 10.5 25135 10.625-29 39278 8.0 19976 8.0 19302 8.130-34 30081 6.2 15617 6.2 14464 6.135-39 20496 4.2 10481 4.2 10015 4.240-44 14357 2.9 7273 2.9 7084 3.045-49 14743 3.0 7531 3.0 7212 3.050-54 11321 2.3 6573 2.6 4748 2.055-59 10593 2.2 6180 2.5 4413 1.960-64 7608 1.6 4117 1.6 3491 1.565-69 7564 1.5 3679 1.5 3885 1.670-74 5527 1.1 2751 1.1 2n6 1.275-79 3387 0.7 1694 0.7 1693 0.780+ 3886 0.8 1803 0.7 2083 0.95.neg8',1988DAKAR

Total 1300691 100.0 649735 100.0 650956 100.0Under 1 year 47448 3.6 24268 3.7 23180 3.61-4 171898 13.2 86784 13.4 85114 13.15-9 185159 14.2 90258 13.9 94901 14.610-14 155282 11.9 73799 11.4 81483 12.515-19 149813 11.5 69178 10.6 80635 12.420-24 135586 10.4 66575 10.2 69011 10.625-29 lln15 9.1 59685 9.2 58030 8.930-34 89974 6.9 47381 7.3 42593 6.535-39 71351 5.5 37542 5.8 33809 5.240-44 44809 3.4 239n 3.7 20832 3.245-49 37080 2.9 19932 3.1 17148 2.6

124




Number Percent Number Percent Number Percent50·54 28697 2.2 15590 2.4 13107 2.055·59 23629 1.8 12531 1.9 11098 1.760-64 15780 1.2 8567 1.3 7213 1.165-69 11264 0.9 6165 0.9 5099 0.870+ 15206 1.2 7503 1.2 7703 1.2Seychelles, 1997PORT VICTORIATotal 24701 100.0 12170 100.0 12531 100.0Under 1 year 340 1.4 185 1.5 155 1.21-4 1715 6.9 866 7.1 849 6.85-9 2273 9.2 1138 9.4 1135 9.110·14 2421 9.8 1216 10.0 1205 9.615-19 2438 9.9 1241 10.2 1197 9.620·24 2188 8.9 1109 9.1 1079 8.625·29 2062 8.3 1046 8.6 1016 8.130-34 2187 8.9 1064 8.7 1123 9.035·39 2011 8.1 1023 8.4 988 7.940-44 1468 5.9 759 6.2 709 5.745-49 1043 4.2 570 4.7 473 3.850·54 807 3.3 428 3.5 379 3.055-59 732 3.0 309 2.5 423 3.460-64 773 3.1 340 2.8 433 3.565-69 693 2.8 313 2.6 380 3.070-74 527 2.1 203 1.7 324 2.675-79 442 1.8 171 1.4 271 2.2

80+ 523 2.1 151 1.2 372 3.0Not Stated 58 0.2 38 0.3 20 0.2

South Africa, 1996PRETORIATotal 692348 100.0 340362 100.0 351986 100.0Under 1 year 10703 1.5 5353 1.6 5350 1.5

1-4 39256 5.7 19704 5.8 19552 5.65-9 48052 6.9 24168 7.1 23884 6.810-14 49480 7.1 24735 7.3 24745 7.015-19 51903 7.5 26091 7.7 25812 7.320-24 76025 11.0 38980 11.5 37045 10.525-29 76212 11.0 39457 11.6 36755 10.4

30-34 65026 9.4 32665 9.6 32361 9.2

35·39 58618 8.5 28936 8.5 29682 8.4

40-44 47664 6.9 23196 6.8 24468 7.045-49 39459 5.7 19060 5.6 20399 5.8

50-54 31752 4.6 15139 4.4 16613 4.755-59 24515 3.5 11689 3.4 12826 3.6

60-64 18149 2.6 8249 2.4 9900 2.8

65·69 15049 2.2 6535 1.9 8514 2.4

70-74 11291 1.6 4557 1.3 6734 1.975-79 8260 1.2 3072 0.9 5188 1.5

80+ 8700 1.3 2633 0.8 6067 1.7Not Stated 12234 1.8 6143 1.8 6091 1.7

CAPETOWNTotal 184699 100.0 89327 100.0 95372 100.0Undtlr 1 ytlar 2685 1.5 1382 1.5 1303 1.4

1-4 9261 5.0 4755 5.3 4506 4.7

5·9 11271 6.1 5647 6.3 5624 5.9

10·14 11191 6.1 5548 6.2 5643 5.9

15-19 12091 6.5 5976 6.7 6115 6.4

20·24 18610 10.1 8931 10.0 9679 10.1

125




Number Per cent Number Percent Number Percent

25-29 19042 10.3 9211 10.3 9831 10.3

30-34 16748 9.1 8261 9.2 8487 8.935-39 14169 7.7 6922 7.7 7247 7.6

40-44 11660 6.3 5418 6.1 6242 6.545-49 10195 5.5 4818 5.4 53n 5.6

50-54 8518 4.6 3981 4.5 4537 4.8

55-59 7230 3.9 3333 3.7 3897 4.1

60-64 6279 3.4 2741 3.1 3538 3.7

65-69 5550 3.0 2408 2.7 3142 3.370-74 4437 2.4 1738 1.9 2699 2.875-79 3125 1.7 1131 1.3 1994 2.1

80+ 4111 2.2 1158 1.3 2953 3.1Not Stated 8526 4.6 5968 6.7 2558 2.7

DurbanTotal 566118 100.0 278021 100.0 288097 100.0Under 1 year 8408 1.5 4137 1.5 4271 1.51-4 31140 5.5 15628 5.6 15512 5.45-9 39140 6.9 19642 7.1 19498 6.810-14 40823 7.2 20459 7.4 20364 7.115-19 43693 7.7 21506 7.7 22187 7.720-24 63226 11.2 32057 11.5 31169 10.825-29 60665 10.7 31664 11.4 29001 10.130·34 51632 9.1 26042 9.4 25590 8.935-39 44394 7.8 21997 7.9 22397 7.840-44 36936 6.5 18143 6.5 18793 6.545-49 32972 5.8 16291 5.9 16681 5.850-54 26106 4.6 12560 4.5 13546 4.755-59 21058 3.7 9827 3.5 11231 3.960-64 17122 3.0 7471 2.7 9651 3.365-69 14225 2.5 5983 2.2 8242 2.970-74 11303 2.0 4747 1.7 6556 2.375-79 7633 1.3 3015 1.1 4618 1.680+ 7450 1.3 2369 0.9 5081 1.8Not Stated 8192 1.4 4483 1.6 3709 1.3

Johannesburg

Total 760792 100.0 387527 100.0 373265 100.0Under 1 year 12638 1.7 6348 1.6 6290 1.71-4 41602 5.5 20653 5.3 20949 5.65-9 47425 6.2 23855 6.2 23570 6.310-14 45904 6.0 22800 5.9 23104 6.215-19 54661 7.2 27524 7.1 27137 7.320-24 93818 12.3 50047 12.9 43nl 11.725-29 98447 12.9 54457 14.1 43990 11.830-34 74859 9.8 39721 10.2 35138 9.435-39 61301 8.1 31248 8.1 30053 8.140-44 49554 6.5 24573 6.3 24981 6.745-49 42426 5.6 21166 5.5 21260 5.750·54 32956 4.3 16324 4.2 16632 4.555·59 26713 3.5 13086 3.4 13627 3.760-64 19631 2.6 9129 2.4 10502 2.865-69 15447 2.0 7111 1.8 8336 2.270-74 11250 1.5 4825 1.2 6425 1.775-79 7954 1.0 3203 0.8 4751 1.380+ 8992 1.2 3005 0.8 5987 1.6Not Stated 15214 2.0 8452 2.2 6762 1.8

126





Zimbab_.1997HARARE

Total 1767047 100.0 909887 100.0 857160 100.0

1-4 314626 17.8 156247 17.2 158379 18.5

5-9 198469 11.2 98660 10.8 99809 11.6

10-14 lm86 10.1 86820 9.5 90966 10.6

15-19 141334 8.0 68288 7.5 73046 8.5

20-24 166542 9.4 72420 8.0 94122 11.0

25-29 208701 11.8 105045 11.5 103656 12.1

30-34 155604 8.8 84520 9.3 71084 8.3

35-39 120083 6.8 66425 7.3 53658 6.3

40-44 92330 5.2 53267 5.9 39063 4.6

45-49 60750 3.4 36374 4.0 24376 2.8

50-54 43723 2.5 27553 3.0 16170 1.9

55-59 34591 2.0 22043 2.4 12548 1.5

60-64 20937 1.2 13867 1.5 7070 0.8

65-69 15641 0.9 10171 1.1 5470 0.6

70-74 7318 0.4 4188 0.5 3130 0.4

75-79 8612 0.5 3999 0.4 4613 0.5

Bulawayo

Total 740014 100.0 367558 100.0 372456 100.0

1-4 130628 17.7 64783 17.6 65845 17.6

5-9 86576 11.7 42823 11.7 43753 11.7

10-14 78671 10.6 38431 10.5 40240 10.7

15-19 60671 8.2 28692 7.8 31979 8.5

20-24 6n45 9.2 28932 7.9 38813 10.4

25-29 74721 10.1 34499 9.4 40222 10.8

30-34 60500 8.2 29133 7.9 31367 8.4

35-39 50721 6.9 25995 7.1 24726 6.6

40-44 39870 5.4 21892 6.0 17978 4.8

45-49 26114 3.5 14995 4.1 11119 3.0

50-54 20063 2.7 11728 3.2 8335 2.2

55-59 15531 2.1 9262 2.5 6269 1.7

60-64 10618 1.4 6610 1.8 4008 1.1

65-69 8518 1.2 5257 1.4 3261 0.9

70-74 4011 0.5 2208 0.6 1803 0.5

75-79 5056 0.7 2318 0.6 2738 0.7

AMERICA. NORTH

Bahamas.19l1ONASSAU

Total 172196 100.0 83515 100.0 88681 100.0

Under 1 year 3813 2.2 1935 2.3 1878 2.1

1-4 13n2 8.0 6936 8.3 6836 7.7

5-9 16175 9.4 8215 9.8 7960 9.0

10-14 15065 8.7 7554 9.0 7511 8.5

15-19 16624 9.7 8205 9.8 8419 9.5

20-24 16398 9.5 8036 9.6 8362 9.4

25-29 16997 9.9 8346 10.0 8651 9.8

30-34 13735 8.0 6584 7.9 7151 8.1

35-39 10001 5.8 4727 5.7 5274 5.9

40-44 n14 4.5 3681 4.4 4033 4.5

45-49 6698 3.9 3181 3.8 3517 4.0

50-54 5392 3.1 2494 3.0 2898 3.3

55-59 4145 2.4 1940 2.3 2205 2.5

60-64 3034 1.8 1331 1.6 1703 1.9

65-69 2224 1.3 927 1.1 1297 1.5

70-74 1903 1.1 744 0.9 1159 1.3

127




Number Percent Number Percent Number Percent75-79 1215 0.7 453 0.5 762 0.980+ 1171 0.7 376 0.5 795 0.9Not Stated 16120 9.4 7850 9.4 8270 9.3Freeport. Grand BahamaTotal 40898 100.0 20060 100.0 20838 100.0Bermuda, 1991HAMILTONTotal 1100 100.0 585 100.0 515 100.0Under 1 year 10 0.9 4 0.7 6 1.21-4 55 5.0 23 3.9 32 6.25-9 66 6.0 35 6.0 31 6.010-14 61 5.5 31 5.0 30 5.815-19 66 6.0 34 5.8 32 6.220-24 90 8.2 47 8.0 43 8.325·29 86 7.8 45 7.7 41 8.130-34 116 10.5 67 11.5 49 9.535-39 122 11.1 71 12.1 51 9.940-44 72 6.5 44 7.5 28 7.445-49 74 6.7 38 6.5 36 7.050-54 49 4.5 29 5.0 20 3.955-59 51 4.6 32 5.5 19 3.760-64 67 6.1 36 6.2 31 6.065-69 51 4.6 21 3.6 30 5.870-74 20 1.8 9 1.5 11 2.t75-79 22 2.0 11 1.9 11 2.180+ 22 2.0 8 1.4 14 2.7Dominican Republic, 1993SANTO DOMINGOTotal 2193046 100.0 1015462 100.0 1177584 100.0Under 1 year 57505 2.6 28522 2.8 28983 2.51-4 220948 10.1 110525 10.9 110423 9.45-9 231401 10.6 115103 11.3 116298 9.910-14 229805 10.5 107361 10.6 122444 10.415-19 232127 10.6 101767 10.0 130360 11.120-24 245621 11.2 107854 10.6 137767 11.725-29 220037 10.0 98851 9.7 121186 10.330-34 183010 8.3 83183 8.2 99827 8.535-39 143458 6.5 65034 6.4 78424 6.740-44 114665 5.2 53534 5.3 61131 5.245-49 80061 3.7 38157 3.8 41904 3.650-54 65941 3.0 31391 3.1 34550 2.955-59 47196 2.2 22134 2.2 25062 2.160-64 43568 2.0 19720 1.9 23848 2.065-69 28375 1.3 12615 1.2 15760 1.370-74 20823 0.9 8868 0.9 11955 1.075-79 12275 0.6 5149 0.5 7126 0.680+ 16230 0.7 5694 0.6 10536 0.9

Santiago de los CaballerosTotal 710803 100.0 344135 100.0 366668 100.0Under 1 year 17493 2.5 8928 2.6 8565 2.31-4 70035 9.9 35432 10.3 34603 9.45-9 75542 10.6 38131 11.1 37411 10.210-14 77671 10.9 38127 11.1 39544 10.815·19 77486 10.9 35973 10.5 41513 11.320·24 79458 11.2 37370 10.9 42088 11.525-29 67853 9.5 32232 9.4 35621 9.730-34 53623 7.5 25845 7.5 27778 7.6

128




Number Percent Number Percent Number Percent35-39 41934 5.9 19972 5.8 21962 6.040-44 34234 4.8 16628 4.8 17606 4.845-49 25361 3.6 12407 3.6 12954 3.550·54 22173 3.1 10952 3.2 11221 3.155-59 16673 2.3 7939 2.3 8734 2.460-64 16494 2.3 8019 2.3 8475 2.365-69 11917 1.7 5704 1.7 6213 1.770·74 9278 1.3 4431 1.3 4847 1.375-79 5708 0.8 2681 0.8 3037 0.880+ 7870 1.1 3364 1.0 4506 1.2La RomanaTotal 166550 100.0 80116 100.0 86434 100.0Under 1 year 4086 2.5 2118 2.6 1968 2.31-4 17931 10.8 9111 11.4 8820 10.25-9 18299 11.0 9280 11.6 9019 10.4

10-14 18307 11.0 9028 11.3 9279 10.7

15-19 17555 10.5 8243 10.3 9312 10.820-24 19165 11.5 8995 11.2 10170 11.8

25-29 15678 9.4 7380 9.2 8298 9.6

30-34 13454 8.1 6122 7.6 7332 8.5

35-39 9827 5.9 4523 5.6 5304 6.1

40-44 7576 4.5 3562 4.4 4014 4.6

45-49 5630 3.4 2689 3.4 2941 3.4

50-54 4950 3.0 2321 2.9 2629 3.0

55·59 3786 2.3 1863 2.3 1923 2.2

60-64 3658 2.2 1847 2.3 1811 2.1

65-69 2237 1.3 1051 1.3 1186 1.4

70-74 1837 1.1 864 1.1 973 1.1

75-79 1016 0.6 458 0.6 558 0.6

80+ 1558 0.9 661 0.8 897 1.0

San Pedro de MacorisTotal 212368 100.0 104341 100.0 108027 100.0

Under 1 year 5771 2.7 2953 2.8 2818 2.6

1-4 23092 10.9 11765 11.3 11327 10.5

5-9 24175 11.4 12378 11.9 11797 10.9

10-14 23045 10.9 11424 10.9 11621 10.8

15-19 22209 10.5 10574 10.1 11635 10.8

20-24 24893 11.7 12057 11.6 12836 11.9

25·29 20458 9.6 9667 9.3 10791 10.0

30-34 16644 7.8 7960 7.6 8684 8.0

35-39 11949 5.6 5758 5.5 6191 5.7

40-44 9151 4.3 4467 4.3 4684 4.3

45-49 6879 3.2 3307 3.2 3572 3.3

50-54 6459 3.0 3208 3.1 3251 3.0

55-59 4564 2.1 2308 2.2 2256 2.1

60-64 4710 2.2 2397 2.3 2313 2.1

65-69 2931 1.4 1443 1.4 1488 1.4

70-74 2218 1.0 1147 1.1 1071 1.0

75-79 1354 0.6 685 0.7 669 0.6

80+ 1866 0.9 843 0.8 1023 0.9

Greenland, 1899NUUK (GODTHAB)

Total 13566 100.0 7277 100.0 6289 100.0

Under 1 year 216 1.6 122 1.7 94 1.5

1-4 915 6.7 497 6.8 418 6.6

5-9 1160 8.6 591 8.1 569 9.0

10-14 1041 7.7 521 7.2 520 8.3

129




Number Percent Number Per cent Number Percent15-19 802 5.9 400 5.5 402 6.420-24 850 6.3 429 5.9 421 6.725-29 1040 7.7 538 7.4 S02 8.030-34 1642 12.1 865 11.9 777 12.435-39 1571 11.6 845 11.6 726 11.540-44 1306 9.6 733 10.1 573 9.145-49 930 6.9 518 7.1 412 6.6SO-54 803 5.9 491 6.7 312 5.055-59 568 4.2 348 4.8 220 3.560-64 313 2.3 191 2.6 122 1.965-69 211 1.6 113 1.6 98 1.670-74 119 0.9 SO 0.7 69 1.175-79 38 0.3 16 0.2 22 0.380+ 41 0.3 9 0.1 32 0.5SisimiutTotal 5385 100.0 2876 100.0 2509 100.0Under 1 year 74 1.4 39 1.4 35 1.41-4 404 7.5 197 6.8 207 8.35-9 589 10.9 315 11.0 274 10.910-14 513 9.5 259 9.0 254 10.115-19 368 6.8 187 6.5 181 7.220-24 271 5.0 146 5.1 125 5.025-29 393 7.3 203 7.1 190 7.630-34 589 10.9 314 10.9 275 11.035-39 546 10.1 295 10.3 251 10.04Q-44 404 7.5 233 8.1 171 6.845-49 309 5.7 1n 6.2 132 5.3SO-54 273 5.1 166 5.8 107 4.355·59 218 4.0 133 4.6 85 3.460-64 174 3.2 89 3.1 85 3.465-69 124 2.3 62 2.2 62 2.570-74 85 1.6 38 1.3 47 1.975-79 24 0.4 12 0.4 12 0.580+ 27 0.5 11 0.4 16 0.6lIulisatTotal 4629 100.0 2416 100.0 2213 100.0Under 1 year 71 1.5 37 1.5 34 1.51-4 308 6.7 144 6.0 164 7.45·9 440 9.5 204 8.4 236 10.710-14 408 8.8 216 8.9 192 8.715-19 309 6.7 161 6.7 148 6.720-24 289 6.2 139 5.8 150 6.825-29 353 7.6 212 8.8 141 6.430-34 532 11.5 273 11.3 259 11.735-39 456 9.9 242 10.0 214 9.740-44 319 6.9 173 7.2 146 6.645-49 275 5.9 159 6.6 116 5.2SO-54 242 5.2 130 5.4 112 5.155-59 228 4.9 135 5.6 93 4.260·64 156 3.4 78 3.2 78 3.565-69 132 2.9 60 2.5 72 3.370-74 67 1.4 34 1.4 33 1.575-79 24 0.5 10 0.4 14 0.680+ 20 0.4 9 0.4 11 0.5

130





Jamaica, 1991KINGSTONTotal 558143 100.0 260073 100.0 298070 100.00-4 61268 11.0 31133 12.0 30135 10.15-9 59624 10.7 29901 11.5 29723 10.010-14 57416 10.3 28341 10.9 29075 9.815-19 58894 10.6 27763 10.7 31131 10.420-24 61942 11.1 28209 10.8 33733 11.325-29 56954 10.2 25445 9.8 31509 10.630-34 45457 8.1 19904 7.7 25553 8.635-39 33796 6.1 15307 5.9 18489 6.240-44 25851 4.6 12049 4.6 13802 4.645-49 20224 3.6 9296 3.6 10928 3.750-54 16235 2.9 7559 2.9 8676 2.955-59 13488 2.4 6089 2.3 7399 2.560-64 12859 2.3 5729 2.2 7130 2.465-69 10952 2.0 4578 1.8 6374 2.170-74 8447 1.5 3560 1.4 4887 1.675-79 6777 1.2 2603 1.0 4174 1.480+ 7959 1.4 2607 1.0 5352 1.8Spanish TownTotal 110379 100.0 53588 100.0 56791 100.0Q-4 12981 11.8 6502 12.1 6479 11.45-9 12421 11.3 6159 11.5 6262 11.010-14 12375 11.2 6196 11.6 6179 10.915-19 12639 11.5 6199 11.6 6440 11.320·24 12153 11.0 5897 11.0 6256 11.025-29 10562 9.6 5034 9.4 5528 9.730-34 8562 7.8 4014 7.5 4548 8.035-39 6413 5.8 3067 5.7 3346 5.940-44 4880 4.4 2425 4.5 2455 4.345-49 3853 3.5 1835 3.4 2018 3.650-54 3261 3.0 1607 1654 2.955-59 2628 2.4 1262 2.4 1366 2.460-64 2340 2.1 1098 2.0 1242 2.265-69 1923 1.7 886 1.7 1037 1.870-74 1391 1.3 636 1.2 755 1.375-79 980 0.9 404 0.8 576 1.080+ 1017 0.9 367 0.7 650 1.1PortmoreTotal 93799 100.0 43371 100.0 50428 100.00-4 9441 10.1 4663 10.8 4778 9.55-9 10221 10.9 5072 11.7 5149 10.210-14 11182 11.9 5458 12.6 5724 11.415-19 11745 12.5 5623 13.0 6122 12.120-24 10598 11.3 4899 11.3 5699 11.325-29 8449 9.0 3531 8.1 4918 9.830-34 7449 7.9 3002 6.9 4447 8.835-39 6638 7.1 2831 6.5 3807 7.540-44 5590 6.0 2631 6.1 2959 5.945-49 3953 4.2 1959 4.5 1994 4.050-54 2584 2.8 1309 3.0 1275 2.5

55-59 1722 1.8 794 1.8 928 1.860-64 1389 1.5 576 1.3 813 1.665-69 1054 1.1 417 1.0 637 1.370-74 720 0.8 256 0.6 464 0.975-79 488 0.5 181 0.4 307 0.680+ 576 0.6 169 0.4 407 0.8

131




Number Percent Number Percent Number PercentMontegoBayTotal 82002 100.0 39097 100.0 42905 100.00-4 10055 12.3 5122 13.1 4933 11.55·9 9499 11.6 4814 12.3 4685 10.910·14 8431 10.3 4109 10.5 4322 10.115-19 9106 11.1 1368 3.5 4738 11.020-24 9138 11.1 4103 10.5 5035 11.725-29 8458 10.3 3888 9.9 4570 10.730-34 6291 7.7 2908 7.4 3383 7.935-39 4619 5.6 2162 5.5 2457 5.740-44 3n3 4.6 1812 4.6 1961 4.645-49 2885 3.5 1437 3.7 1448 3.450·54 2473 3.0 1161 3.0 1312 3.155·59 1829 2.2 882 2.3 947 2.260-64 1742 2.1 n5 2.0 967 2.365-69 1265 1.5 588 1.5 6n 1.670-74 907 1.1 370 0.9 537 1.375-79 700 0.9 291 0.7 409 1.080+ 831 1.0 307 0.8 524 1.2Mexico, 1995CUIDAD DE MEXICOTotal 16784109 100.0 8170753 100.0 8613356 100.00-4 1708380 10.2 869090 10.6 839290 9.75·9 1720647 10.3 874921 10.7 845726 9.810-14 1690850 10.1 853019 10.4 837831 9.715-19 1761131 10.5 8645n 10.6 896554 10.420-24 1914522 11.4 926839 11.3 987683 11.525-29 1610561 9.6 n8213 9.5 832348 9.730-34 1403469 8.4 669692 8.2 7337n 8.535-39 1232971 7.3 587943 7.2 645028 7.540-44 939089 5.6 452894 5.5 486195 5.645-49 739198 4.4 354389 4.3 384809 4.550-54 579595 3.5 2n511 3.4 302084 3.555-59 412740 2.5 193521 2.4 219219 2.560-64 353973 2.1 159704 2.0 194269 2.365-69 254867 1.5 111260 1.4 143607 1.770-74 184749 1.1 80792 1.0 103957 1.275-79 108249 0.6 45645 0.6 62604 0.780+ 130719 0.8 52287 0.6 78432 0.9Not Stated 38399 0.2 18456 0.2 19943 0.2

GuadalajaraTotal 3450306 100.0 1683721 100.0 1766585 100.00-4 401579 11.6 204594 12.2 196985 11.25-9 395945 11.5 201435 12.0 194510 11.010·14 388337 11.3 197078 11.7 191259 10.815-19 378627 11.0 18noo 11.1 190927 10.820-24 376858 10.9 181865 10.8 194993 11.025-29 302092 8.8 143148 8.5 158944 9.030-34 256061 7.4 120565 7.2 135496 7.735-39 225273 6.5 106269 6.3 119004 6.740-44 ln553 5.1 84981 5.0 92572 5.245-49 141382 4.1 68231 4.1 73151 4.150-54 109582 3.2 52858 3.1 56724 3.255-59 7n02 2.3 36830 2.2 40872 2.360-64 65576 1.9 29910 1.8 35666 2.065-69 48800 1.4 22031 1.3 26769 1.570-74 39095 1.1 17457 1.0 21638 1.2

132




Number Percent Number Percent Number Percent75-79 25243 0.7 11034 0.7 14209 0.880+ 30896 0.9 12365 0.7 18531 1.0Not Stated 9705 0.3 5370 0.3 4335 0.2

MonterreyTotal 2988081 100.0 1487357 100.0 1500724 100.00-4 313609 10.5 160177 10.8 153432 10.25·9 301535 10.1 153780 10.3 147755 9.810-14 299095 10.0 151604 10.2 147491 9.815-19 327876 11.0 163361 11.0 164515 11.020-24 355211 11.9 178508 12.0 176703 11.825-29 290807 9.7 143428 9.6 147379 9.830-34 245563 8.2 121123 8.1 124440 8.335-39 209764 7.0 103286 6.9 106478 7.140·44 157337 5.3 77674 5.2 79663 5.345-49 128055 4.3 63375 4.3 64680 4.350-54 100631 3.4 49554 3.3 51077 3.455-59 76832 2.6 37787 2.5 39045 2.660-64 61239 2.0 29254 2.0 31985 2.165·69 44816 1.5 20671 1.4 24145 1.670-74 31689 1.1 14754 1.0 16935 1.175-79 18910 0.6 8494 0.6 10416 0.780+ 22443 0.8 9070 0.6 13373 0.9Not Stated 2669 0.1 1457 0.1 1212 0.1PueblaTotal 2119129 100.0 1027064 100.0 1092065 100.00-4 234817 11.1 119053 11.6 115764 10.65-9 234739 11.1 119206 11.6 115533 10.610-14 237713 11.2 119742 11.7 117971 10.815-19 240507 11.3 117297 11.4 123210 11.320-24 237278 11.2 113245 11.0 124033 11.425-29 189840 9.0 89933 8.8 99907 9.130-34 161043 7.6 75995 7.4 85048 7.835-39 141864 6.7 66796 6.5 75068 6.940-44 106235 5.0 50769 4.9 55466 5.145-49 84784 4.0 40249 3.9 44535 4.1SO-54 65101 3.1 30968 3.0 34133 3.155-59 49143 2.3 22664 2.2 26479 2.460-64 42432 2.0 19294 1.9 23138 2.165-69 32506 1.5 14626 1.4 17880 1.670-74 23667 1.1 10849 1.1 12818 1.275-79 15650 0.7 7167 0.7 8483 0.880+ 19230 0.9 8009 0.8 11221 1.0Not Stated 2580 0.1 1202 0.1 1378 0.1

Nicaragua, 1995MANAGUA

Total 864201 100.0 409308 100.0 454893 100.0Under 1 year 23812 2.8 12133 3.0 11679 2.61-4 90746 10.5 46497 11.4 44249 9.75-9 109972 12.7 55659 13.6 54313 11.910-14 115869 13.4 57730 14.1 58139 12.815-19 95893 11.1 45145 11.0 50748 11.220-24 84201 9.7 37576 9.2 46625 10.225·29 73355 8.5 32759 8.0 40596 8.930-34 63767 7.4 29105 7.1 34662 7.635-39 54654 6.3 24727 6.0 29927 6.640-44 40386 4.7 18968 4.6 21418 4.745-49 28626 3.3 13342 3.3 15284 3.4

133





50·54 20739 2.4 9452 2.3 11287 2.555-59 17327 2.0 7614 1.9 9713 2.160-64 14766 1.7 6424 1.6 8342 1.865-69 11081 1.3 4669 1.1 6412 1.470-74 7716 0.9 3226 0.8 4490 1.075-79 5039 0.6 2099 0.5 2940 0.680+ 6252 0.7 2183 0.5 4069 0.9LeonTotal 123865 100.0 58119 100.0 65746 100.0Under 1 year 3316 2.7 1698 2.9 1618 2.51-4 12997 10.5 6645 11.4 6352 9.75·9 15625 12.6 8023 13.8 7602 11.610-14 16336 13.2 8181 14.1 8155 12.415·19 14431 11.7 6934 11.9 7497 11.420-24 11909 9.6 5393 9.3 6516 9.925-29 9632 7.8 4200 7.2 5432 8.330-34 8575 6.9 3812 6.6 4763 7.235-39 7477 6.0 3344 5.8 4133 6.34Q-44 5663 4.6 2566 4.4 3097 4.745-49 4333 3.5 1918 3.3 2415 3.750-54 3121 2.5 1368 2.4 1753 2.755-59 2686 2.2 1106 1.9 1580 2.460-64 2192 1.8 934 1.6 1258 1.965-69 1893 1.5 727 1.3 1166 1.870-74 1434 1.2 549 0.9 885 1.375-79 929 0.8 317 0.5 612 0.980+ 1316 1.1 404 0.7 912 1.4JinotepeTotal 25132 100.0 11804 100.0 13328 100.0Under 1 year 683 2.7 369 3.1 314 2.41-4 2606 10.4 1318 11.2 1288 9.75-9 3152 12.5 1565 13.3 1587 11.910-14 3264 13.0 1625 13.8 1639 12.315·19 2706 10.8 1282 10.9 1424 10.720·24 2203 8.8 1002 8.5 1201 9.025-29 1944 7.7 867 7.3 1077 8.130-34 1755 7.0 788 6.7 967 7.335-39 1571 6.3 712 6.0 859 6.44Q-44 1191 4.7 548 4.6 643 4.845-49 880 3.5 414 3.5 466 3.550-54 736 2.9 338 2.9 398 3.055-59 621 2.5 259 2.2 362 2.760-64 532 2.1 210 1.8 322 2.465-69 480 1.9 190 1.6 290 2.270-74 311 1.2 131 1.1 180 1.475·79 223 0.9 87 0.7 136 1.080+ 274 1.1 99 0.8 175 1.3Matagalpa

Total 59397 100.0 27422 100.0 31975 100.0Under 1 year 1679 2.8 873 3.2 806 2.51-4 6341 10.7 3151 11.5 3100 10.05-9 7744 13.0 3910 14.3 3834 12.010-14 8493 14.3 4133 15.1 4360 13.615-19 7325 12.3 3305 12.1 4020 12.620-24 5546 9.3 2379 8.7 3167 9.925-29 4704 7.9 1974 7.2 2730 8.530-34 4062 6.8 1857 6.8 2205 6.9

134





35·39 3545 6.0 1548 5.6 1997 6.2

40-44 2470 4.2 1133 4.1 1337 4.2

45-49 1809 3.0 794 2.9 1015 3.2

50-54 1393 2.3 596 2.2 797 2.5

55-59 1234 2.1 507 1.8 727 2.3

60-64 1026 1.7 459 1.7 567 1.8

65-69 670 1.1 289 1.1 381 1.2

70-74 534 0.9 214 0.8 320 1.0

75-79 363 0.6 134 0.5 229 0.7

80+ 459 0.8 166 0.6 293 0.9

Panama, 1990

PANAMA

Total 413505 100.0 196162 100.0 217343 100.0

Under 1 year 7622 1.8 3982 2.0 3640 1.7

1-4 29083 7.0 14780 7.5 14303 6.6

5·9 35840 8.7 18032 9.2 17808 8.2

10-14 36501 8.8 18272 9.3 18229 8.4

15-19 41638 10.1 19390 9.9 22248 10.2

20·24 44129 10.7 20442 10.4 23687 10.9

25·29 41519 10.0 19539 10.0 21980 10.1

30-34 34086 8.2 16115 8.2 17971 8.3

35-39 28n3 7.0 13410 6.8 15363 7.1

40-44 24537 5.9 11435 5.8 13102 6.0

45-49 20172 4.9 9604 4.9 10568 4.9

50-54 15735 3.8 7365 3.8 8370 3.9

55-59 12851 3.1 5959 3.0 6892 3.2

60-64 11593 2.8 5292 2.7 6301 2.9

65-69 9894 2.4 4547 2.3 5347 2.5

70-74 8001 1.9 3526 1.8 4475 2.1

75-79 5814 1.4 2465 1.3 3349 1.5

80+ 5715 1.4 2005 1.0 3710 1.7

Not Stated 2 0.0 2 0.0

San Miguelito

Total 243024 100.0 118695 100.0 124329 100.0

Under 1 year 5255 2.2 2712 2.3 2543 2.0

1-4 21079 8.7 10734 9.0 10345 8.3

5-9 26824 11.0 13531 11.4 13293 10.7

10·14 27471 11.3 14015 11.8 13456 10.8

15-19 28367 11.7 13597 11.5 14nO 11.9

20-24 26621 11.0 12915 10.9 13706 11.0

25-29 22812 9.4 10943 9.2 11869 9.5

30-34 19185 7.9 9139 7.7 10046 8.1

35-39 16657 6.9 8047 6.8 8610 6.9

40-44 13355 5.5 6413 5.4 6942 5.6

45-49 9974 4.1 4891 4.1 5083 4.1

50-54 7302 3.0 3416 2.9 3886 3.1

55-59 5396 2.2 2524 2.1 2872 2.3

60-64 4407 1.8 2058 1.7 2349 1.9

65-69 3123 1.3 1493 1.3 1630 1.3

70·74 2300 0.9 1033 0.9 1267 1.0

75-79 1518 0.6 676 0.6 842 0.7

80+ 1378 0.6 558 0.5 820 0.7

Colon

Total 54654 100.0 26943 100.0 2n11 100.0

Under 1 year 1458 2.7 nl 2.9 687 2.5

1-4 5346 9.8 2727 10.1 2619 9.5

5-9 6110 11.2 3114 11.6 2996 10.8

135




Number Percent Number Percent Number Percent10-14 5255 9.6 2634 9.8 2621 9.515-19 5417 9.9 2624 9.7 2793 10.120-24 5663 10.4 2759 10.2 2904 10.525-29 5478 10.0 2665 9.9 2813 10.230-34 4110 7.5 2048 7.6 2062 7.435-39 3212 5.9 1594 5.9 1618 5.840-44 2593 4.7 1246 4.6 1347 4.945-49 1949 3.6 978 3.6 971 3.550-54 1609 2.9 737 2.7 872 3.155-59 1377 2.5 654 2.4 723 2.660-64 1348 2.5 658 2.4 690 2.565-69 1194 2.2 575 2.1 619 2.270-74 1097 2.0 542 2.0 555 2.075-79 792 1.4 363 1.3 429 1.580+ 644 1.2 253 0.9 391 1.4Not Stated 2 0.0 1 0.0 1 0.0

DavidTotal 102678 100.0 49821 100.0 52857 100.0Under 1 year 2260 2.2 1191 2.4 1069 2.01-4 8576 8.4 4376 8.8 4200 7.95-9 10962 10.7 5557 11.2 5405 10.210-14 11414 11.1 5788 11.6 5626 10.615-19 11246 11.0 5365 10.8 5881 11.120-24 10224 10.0 4891 9.8 5333 10.125-29 9114 8.9 4272 8.6 4842 9.230-34 7863 7.7 3706 7.4 4157 7.935-39 6616 6.4 3148 6.3 3468 6.640-44 5390 5.2 2489 5.0 2901 5.545-49 4434 4.3 2128 4.3 2306 4.450-54 3482 3.4 1621 3.3 1861 3.555-59 2892 2.8 1361 2.7 1531 2.960-64 2449 2.4 1186 2.4 1263 2.465-69 1884 1.8 870 1.7 1014 1.970-74 1470 1.4 726 1.5 144 1.475-79 1083 1.1 565 1.1 518 1.080+ 1319 1.3 581 1.2 738 1.4Puerto Rico, 1990SANJUANTotal 43n45 100.0 201967 100.0 235778 100.0Under 1 year 6046 1.4 3072 1.5 2974 1.31-4 26433 6.0 13458 6.7 12975 5.55-9 32797 7.5 16639 8.2 16158 6.910-14 34047 7.8 17191 8.5 16856 7.115-19 34378 7.9 16863 8.3 17515 7.420-24 36176 8.3 17072 8.5 19104 8.125-29 35488 8.1 16625 8.2 18863 8.030-34 32350 7.4 14948 7.4 17402 7.435-39 29980 6.8 13402 6.6 16578 7.040-44 26923 6.2 12150 6.0 14773 6.345-49 23043 5.3 10386 5.1 12657 5.450-54 20524 4.7 9150 4.5 11374 4.855-59 20100 4.6 8628 4.3 11472 4.960-64 20287 4.6 8612 4.3 11675 5.065-69 19452 4.4 8345 4.1 11107 4.770-74 14917 3.4 6113 3.0 8804 3.775-79 11617 2.7 4665 2.3 6952 2.980+ 13187 3.0 4648 2.3 8539 3.6

136





Bayamon

Total 220262 100.0 106071 100.0 114191 100.0Under 1 year 3257 1.5 1707 1.6 1550 1.41-4 14061 6.4 7121 6.7 6940 6.15-9 18108 8.2 9297 8.8 8811 7.710-14 19459 8.8 9858 9.3 9601 8.415-19 19310 8.8 9783 9.2 9527 8.320-24 18572 8.4 9589 9.0 8983 7.925-29 186n 8.5 8991 8.5 9686 8.530-34 16998 7.7 7997 7.5 9001 7.935-39 14812 6.7 6801 6.4 8011 7.040-44 13788 6.3 6271 5.9 7517 6.645-49 12634 5.7 5700 5.4 6934 6.150-54 11543 5.2 5235 4.9 6308 5.555-59 10395 4.7 4714 4.4 5681 5.060-64 9053 4.1 4224 4.0 4829 4.265-69 7213 3.3 3385 3.2 3828 3.470-74 4941 2.2 2249 2.1 2692 2.475-79 3645 1.7 1656 1.6 1989 1.7

80+ 3796 1.7 1493 1.4 2303 2.0Ponce

Total 18n49 100.0 90094 100.0 97655 100.0

Under 1 year 3067 1.6 1540 1.7 1527 1.6

1-4 14209 7.6 7173 8.0 7036 7.2

5-9 18085 9.6 9228 10.2 8857 9.1

10-14 19142 10.2 9693 10.8 9449 9.7

15-19 18417 9.8 9370 10.4 9047 9.3

20-24 14852 7.9 7242 8.0 7610 7.8

25-29 13265 7.1 6209 6.9 7056 7.2

30-34 12883 6.9 5942 6.6 6941 7.1

35-39 12093 6.4 5702 6.3 6391 6.5

40-44 11453 6.1 5229 5.8 6224 6.4

45-49 9548 5.1 4460 5.0 5088 5.2

50-54 8275 4.4 3727 4.1 4548 4.7

55-59 7332 3.9 3413 3.8 3919 4.0

60-64 6356 3.4 2921 3.2 3435 3.5

65-69 5907 3.1 2675 3.0 3232 3.370-74 4688 2.5 2118 2.4 2570 2.6

75-79 3955 2.1 1791 2.0 2164 2.2

80+ 4222 2.2 1661 1.8 2561 2.6Carolina

Total ln806 100.0 83874 100.0 93932 100.0Under 1 year 2616 1.5 1298 1.5 1318 1.4

1-4 11243 6.3 5730 6.8 5513 5.95-9 14426 8.1 7340 8.8 7086 7.5

10-14 16260 9.1 8141 9.7 8119 8.6

15-19 16578 9.3 8281 9.9 8297 8.8

20-24 14781 8.3 7076 8.4 nos 8.225-29 13753 7.7 6384 7.6 7369 7.8

30-34 12492 7.0 5675 6.8 6817 7.335-39 12142 6.8 5315 6.3 6827 7.340-44 12583 7.1 5572 6.7 7011 7.5

45-49 11795 6.6 5272 6.3 6523 6.950-54 9888 5.6 4570 5.5 5318 5.7

55-59 8081 4.5 3731 4.5 4350 4.6

60-64 6776 3.8 3168 3.8 3608 3.865-69 5361 3.0 2442 2.9 2919 3.1

137




Number Percent Number Percent Number Percent70-74 3644 2.0 1633 1.9 2011 2.175-79 2666 1.5 1152 1.4 1514 1.680+ 2721 1.5 1094 1.3 1627 1.7Saint Lucia. 1999CASTRIESTotal 61823 100.0 29n9 100.0 32044 100.00-4 8788 14.2 4528 15.2 4260 13.35-9 6265 10.1 3166 10.6 3099 9.710-14 5825 9.4 2863 9.6 2962 9.215-19 5834 9.4 2925 9.8 2909 9.120-24 5866 9.5 2861 9.6 3005 9.425-29 5714 9.2 2770 9.3 2944 9.230-34 5300 8.6 2562 8.6 2738 8.5

35-39 4311 7.0 1987 6.7 2324 7.340-44 3307 5.3 1508 5.1 1799 5.645-49 2538 4.1 1142 3.8 1396 4.4SO-54 1965 3.2 934 3.1 1031 3.255-59 1564 2.5 702 2.4 862 2.760-64 1211 2.0 S02 1.7 709 2.265-69 1007 1.6 412 1.4 595 1.970-74 906 1.5 370 1.2 536 1.775·79 700 1.1 278 0.9 422 1.380+ 722 1.2 269 0.9 453 1.4

Vieux-FortTotal 14624 100.0 7269 100.0 7355 100.00-4 1231 8.4 668 9.2 563 7.75·9 1431 9.8 712 9.8 719 9.810-14 1810 12.4 886 12.2 924 12.615-19 1756 12.0 858 11.8 898 12.220-24 1584 10.8 783 10.8 801 10.925·29 1286 8.8 648 8.9 638 8.730-34 1168 8.0 582 8.0 586 8.035-39 1030 7.0 512 7.0 518 7.040-44 823 5.6 414 5.7 409 5.645-49 642 4.4 345 4.7 297 4.0SO-54 506 3.5 253 3.5 253 3.455-59 357 2.4 166 2.3 191 2.660·64 284 1.9 133 1.8 151 2.165-69 230 1.6 108 1.5 122 1.770-74 190 1.3 83 1.1 107 1.575-79 154 1.1 64 0.9 90 1.280+ 142 1.0 54 0.7 88 1.2SoufriereTotal 8953 100.0 4456 100.0 4497 100.00-4 1142 12.8 589 13.2 553 12.35-9 990 11.1 480 10.8 510 11.310-14 971 10.8 474 10.6 497 11.115-19 979 10.9 S05 11.3 474 10.520-24 793 8.9 412 9.2 381 8.525-29 707 7.9 348 7.8 359 8.030-34 647 7.2 317 7.1 330 7.3

35-39 566 6.3 282 6.3 284 6.340-44 454 5.1 232 5.2 222 4.945-49 326 3.6 168 3.8 158 3.5

50-54 278 3.1 135 3.0 143 3.255-59 249 2.8 123 2.8 126 2.8

60-64 212 2.4 98 2.2 114 2.5

138





65-69 183 2.0 77 1.7 106 2.470-74 161 1.8 68 1.5 93 2.175-79 137 1.5 60 1.3 77 1.7

80+ 158 1.8 88 2.0 70 1.6Gras IsletTotal 13994 100.0 6817 100.0 7177 100.00-4 537 3.8 337 4.9 200 2.85-9 1098 7.8 532 7.8 566 7.910-14 1447 10.3 687 10.1 760 10.615-19 1536 11.0 754 11.1 782 10.920-24 1502 10.7 740 10.9 762 10.6

25-29 1341 9.6 658 9.7 683 9.530-34 1306 9.3 657 9.6 649 9.035-39 1161 8.3 550 8.1 611 8.540-44 984 7.0 457 6.7 527 7.345-49 805 5.8 386 5.7 419 5.850-54 611 4.4 311 4.6 300 4.255-59 452 3.2 227 3.3 225 3.160-64 354 2.5 165 2.5 189 2.6

65-69 266 1.9 118 1.7 148 2.170-74 225 1.6 96 1.4 129 1.875-79 180 1.3 70 1.0 110 1.580+ 189 1.4 72 1.1 117 1.6

United States, 1990WASHINGTON, D.C.Total 606900 100.0 282970 100.0 323930 100.0Under 1 year 7050 1.2 3597 1.3 3453 1.11-4 30301 5.0 15333 5.4 14968 4.65-9 31997 5.3 16299 5.8 15698 4.810-14 29318 4.8 14752 5.2 14566 4.515·19 41277 6.8 20084 7.1 21193 6.520-24 59707 9.8 27842 9.8 31865 9.825-29 63129 10.4 30224 10.7 32905 10.2

30-34 58147 9.6 28320 10.0 29827 9.235·39 51399 8.5 25123 8.9 26276 8.140-44 43797 7.2 20760 7.3 23037 7.145-49 33872 5.6 15931 5.6 17941 5.550-54 28159 4.6 13344 4.7 14815 4.655-59 25441 4.2 11647 4.1 13794 4.360-64 25459 4.2 11169 3.9 14290 4.465-69 24841 4.1 10314 3.6 14527 4.570-74 19712 3.2 7661 2.7 12051 3.775-79 15662 2.6 5559 2.0 10103 3.1

80+ 17632 2.9 5011 1.8 12621 3.9New YorkTotal 7322564 100.0 3437687 100.0 3884877 100.0Under 1 year 85873 1.2 43686 1.3 42187 1.11-4 423867 5.8 216408 6.3 207459 5.35-9 457477 6.2 233095 6.8 224382 5.810-14 450072 6.1 227640 6.6 222432 5.715-19 470786 6.4 237065 6.9 233721 6.0

20-24 576581 7.9 280259 8.2 296322 7.625-29 695687 9.5 337819 9.8 357868 9.2

30-34 673723 9.2 327208 9.5 346515 8.935-39 592364 8.1 285137 8.3 307227 7.9

40-44 524246 7.2 246763 7.2 277483 7.1

45-49 414989 5.7 192089 5.6 222900 5.7

139





50-54 358853 4.9 165328 4.8 193525 5.0

55-59 319941 4.4 145237 4.2 174704 4.5

60-64 324768 4.4 142890 4.2 181898 4.7

65-69 298096 4.1 124649 3.6 173447 4.5

70-74 233635 3.2 91511 2.7 142124 3.7

75-79 190692 2.6 69269 2.0 121423 3.1

80+ 230894 3.2 71634 2.1 159260 4.1

Los Angeles

Total 3485398 100.0 1750055 100.0 1735343 100.0

Under 1 year 51292 1.5 26283 1.5 25009 1.4

1-4 231066 6.6 118025 6.7 113041 6.5

5-9 238068 6.8 121203 6.9 116865 6.7

10-14 211189 6.1 107918 6.2 103271 6.0

15-19 245615 7.0 129378 7.4 116237 6.7

20-24 344391 9.9 186416 10.7 157975 9.1

25-29 373966 10.7 1994n 11.4 174489 10.1

30-34 346893 10.0 180976 10.3 165917 9.6

35-39 290BB4 8.3 149347 8.5 141537 8.2

40-44 233329 6.7 116168 6.6 117161 6.8

45-49 ln256 5.1 87020 5.0 90236 5.2

50-54 143325 4.1 69641 4.0 73684 4.2

55-59 127141 3.6 60871 3.5 66270 3.8

60-64 123270 3.5 56686 3.3 66384 3.8

65-69 114nl 3.3 51149 2.9 63622 3.7

70-74 87397 2.5 37159 2.1 50238 2.9

75-79 6n05 1.9 26756 1.5 40949 2.4

80+ n840 2.2 25382 1.5 52458 3.0

Houston

Total 1630553 100.0 809048 100.0 821505 100.0

Under 1 year 23608 1.4 12106 1.5 11502 1.4

1-4 112299 6.9 57418 7.1 54881 6.7

5-9 122870 7.5 62685 7.7 60185 7.3

10-14 110207 6.8 56320 7.0 53687 6.6

15-19 117456 7.2 60644 7.5 56812 6.9

20-24 144009 8.8 73501 9.1 70508 8.6

25-29 172496 10.6 89048 11.0 83448 10.2

30-34 166551 10.2 85703 10.6 80848 9.8

35-39 139527 8.6 71357 8.8 68170 8.3

40-44 111948 6.9 55322 6.8 56626 6.945-49 86507 5.3 42483 5.3 44024 5.4

50-54 68576 4.2 32964 4.1 35612 4.3

55-59 61814 3.8 292n 3.6 32537 4.0

60-64 57608 3.5 26719 3.3 30889 3.8

65-69 49151 3.0 21970 2.7 27181 3.370-74 33148 2.0 13866 1.7 19282 2.3

75-79 25054 1.5 9409 1.2 15645 1.9

80+ 2n24 1.7 8256 1.0 19468 2.4

AMERICA, SOUTH

Argentina, 1991BUENOS AIRES

Total 11295555 100.0 5410716 100.0 5884839 100.0

0-4 1009124 8.9 510685 9.4 498439 8.5

5-9 968717 8.8 499817 9.2 468900 8.3

10-14 1050030 9.3 529451 9.8 520579 8.8

15-19 943506 8.4 466509 8.6 476997 8.1

20-24 861498 7.6 423708 7.8 437790 7.4

, 25-29 801065 7.1 393727 7.3 407338 6.9

140




Number Per cent Number Percent Number Percent30·34 783242 6.9 384377 7.1 398865 6.835·39 755950 6.7 364271 6.7 391679 6.740-44 719447 6.4 346478 6.4 372969 6.345-49 628562 5.6 300611 5.6 327951 5.650·54 557348 4.9 260660 4.8 296688 5.055-59 524762 4.6 243406 4.5 281356 4.860·64 515181 4.6 227504 4.2 287677 4.965-69 428381 3.8 187215 3.5 241166 4.170-74 299526 2.7 122076 2.3 177450 3.075-79 214662 1.9 81620 1.5 133042 2.380+ 214554 1.9 68601 1.3 145953 2.5CordobaTotal 1208713 100.0 578229 100.0 630484 100.00-4 116166 9.6 58822 10.2 57344 9.15-9 112297 9.3 57008 9.9 55289 8.810-14 118079 9.8 59151 10.2 58928 9.315-19 112563 9.3 55216 9.5 57347 9.120-24 110435 9.1 54752 9.5 55683 8.825-29 91295 7.6 44967 7.8 46328 7.330-34 81994 6.8 39680 6.9 42314 6.735-39 78443 6.5 37189 6.4 41254 6.540-44 73894 6.1 35031 6.1 38863 6.245-49 63721 5.3 29955 5.2 33766 5.450-54 55621 4.6 25659 4.4 29962 4.855-59 50865 4.2 22880 4.0 27985 4.460-64 48517 4.0 21216 3.7 27301 4.3

65·69 36858 3.0 15518 2.7 21340 3.470-74 24847 2.1 9749 1.7 15098 2.475·79 17172 1.4 6178 1.1 10994 1.7

80+ 15946 1.3 5258 0.9 10688 1.7RosarioTotal 1118984 100.0 535046 100.0 583938 100.00-4 104485 9.3 52871 9.9 51614 8.85-9 105841 9.5 53823 10.1 52018 8.910-14 108119 9.7 54375 10.2 53744 9.215·19 90286 8.1 44037 8.2 46249 7.920-24 83604 7.5 40262 7.5 43342 7.425-29 76807 6.9 38002 7.1 38805 6.630-34 74181 6.6 36088 6.7 38093 6.535-39 71721 6.4 34917 6.5 36804 6.340-44 66909 6.0 32096 6.0 34813 6.045·49 58732 5.2 28181 5.3 30551 5.250·54 54698 4.9 25976 4.9 28722 4.955-59 51662 4.6 23743 4.4 27919 4.860-64 51722 4.6 22592 4.2 29130 5.065-69 44508 4.0 19124 3.6 25384 4.370-74 31923 2.9 12478 2.3 19445 3.375-79 22602 2.0 8382 1.6 14220 2.480+ 21184 1.9 7099 1.3· 14085 2.4

La PlataTotal 642979 100.0 310999 100.0 331980 100.00-4 53636 8.3 27187 8.7 26449 8.05-9 52421 8.2 26422 8.5 25999 7.810-14 55932 8.7 28226 9.1 27706 8.315-19 56052 8.7 28085 9.0 27967 8.420-24 58106 9.0 30135 9.7 27971 8.425-29 47222 7.3 24282 7.8 22940 6.9

141




Number Percent Number Percent Number Percent30-34 43547 6.8 21598 6.9 21949 6.635-39 41314 6.4 20193 6.5 21121 6.440-44 39429 6.1 19120 6.1 20309 6.145-49 34437 5.4 16521 5.3 17916 5.450-54 30607 4.8 14573 4.7 16034 4.855-59 29292 4.6 13671 4.4 16621 5.060-64 29705 4.6 13063 4.2 16642 5.065-69 25125 3.9 10800 3.5 14325 4.370-74 18692 2.9 7441 2.4 11251 3.475-79 13738 2.1 5334 1.7 8404 2.580+ 13724 2.1 4348 1.4 9376 2.8Bolivia, 1997LAPAZ

Total 758141 100.0 359107 100.0 399034 100.0Under 1 year 11536 1.5 5854 1.6 5682 1.41-4 55430 7.3 28390 7.9 27040 6.85-9 86599 11.4 44124 12.3 42475 10.610-14 BOn8 10.7 41850 11.7 38928 9.815-19 95810 12.6 42536 11.8 53274 13.420-24 66823 8.8 31024 8.6 35799 9.025-29 59601 7.9 25584 7.1 34017 8.530-34 56182 7.4 26225 7.3 29957 7.535-39 52657 6.9 23419 6.5 29238 7.340-44 41462 5.5 19240 5.4 22222 5.645-49 41931 5.5 19335 5.4 22596 5.750-54 31759 4.2 13669 3.8 lB090 4.555-59 24818 3.3 12184 3.4 12634 3.260-64 15144 2.0 7836 2.2 7308 1.865-69 16245 2.1 7556 2.1 8689 2.270-74 8721 1.2 4678 1.3 4043 1.075-79 6063 0.8 2903 0.8 3160 0.880+ 6582 0.9 2700 0.8 3882 1.0Santa Cruz de la SierraTotal 914795 100.0 444420 100.0 470375 100.0Under 1 year 23484 2.6 10805 2.4 12679 2.71-4 80548 8.8 37504 8.4 43044 9.25-9 122084 13.3 58533 13.2 63551 13.510-14 120470 13.2 65561 14.8 54909 11.715-19 114799 12.5 54326 12.2 60473 12.920·24 95922 10.5 47828 10.8 48094 10.225-29 60373 6.6 28444 6.4 31929 6.830-34 62361 6.8 28570 6.4 33791 7.235·39 556n 6.1 21973 4.9 33704 7.240-44 53685 5.9 27041 6.1 26644 5.745-49 38197 4.2 19492 4.4 18705 4.050-54 28519 3.1 14556 3.3 13963 3.055·59 20211 2.2 10598 2.4 9613 2.060-64 10322 1.1 4750 1.1 5572 1.265-69 11912 1.3 62n 1.4 5635 1.270-74 6412 0.7 3573 0.8 2839 0.675-79 6828 0.7 3502 0.8 3326 0.780+ 2991 0.3 1087 0.2 1904 0.4CochabambaTotal 560284 100.0 270601 100.0 289683 100.0Under 1 year 8579 1.5 4348 1.6 4231 1.51-4 40067 7.2 17870 6.6 22197 7.75-9 59576 10.6 33959 12.5 25617 8.810-14 52B05 9.4 30186 11.2 22619 7.8

142





15-19 66932 11.9 31492 11.6 35440 12.220-24 69378 12.4 34724 12.8 34654 12.025-29 44990 8.0 22249 8.2 22741 7.930-34 35662 6.4 14663 5.4 20999 7.235-39 39300 7.0 17136 6.3 22164 7.740-44 22214 4.0 10084 3.7 12130 4.245-49 30233 5.4 12608 4.7 17625 6.150-54 22437 4.0 10002 3.7 12435 4.355-59 15689 2.8 n66 2.9 7923 2.760-64 13915 2.5 6n5 2.5 7140 2.565-69 12420 2.2 4417 1.6 8003 2.870-74 11562 2.1 5018 1.9 6544 2.375-79 6831 1.2 3236 1.2 3595 1.280+ 7694 1.4 4068 1.5 3626 1.3Crura

Total 202548 100.0 99815 100.0 102733 100.0Under 1 year 5443 2.7 2912 2.9 2531 2.51-4 14n6 7.3 8214 8.2 6562 6.45-9 24114 11.9 12038 12.1 12076 11.810-14 25812 12.7 11967 12.0 13845 13.515-19 22885 11.3 9941 10.0 12944 12.620-24 15714 7.8 8057 8.1 7657 7.525-29 14628 7.2 7308 7.3 7320 7.130-34 15219 7.5 7255 7.3 7964 7.835-39 15697 7.7 8454 8.5 7243 7.1

40-44 11381 5.6 6683 6.7 4698 4.6

45-49 8681 4.3 3515 3.5 5166 5.0

50-54 7496 3.7 3769 3.8 3727 3.655-59 5586 2.8 3118 3.1 2468 2.460-64 5527 2.7 1556 1.6 3971 3.965-69 5025 2.5 2947 3.0 2078 2.070-74 1956 1.0 503 0.5 1453 1.475-79 1161 0.6 910 0.9 251 0.2

80+ 1447 0.7 668 0.7 n9 0.8Brazll,l998

BRASILIA, OF

Total 1934231 100.0 916523 100.0 .101n08 100.0Under 1 year 38973 2.0 18863 2.1 20110 2.01-4 141634 7.3 70813 7.7 70821 7.05-9 176202 9.1 84444 9.2 91758 9.010-14 197317 10.2 98238 10.7 99079 9.715-19 223706 11.6 105156 11.5 118550 11.620-24 220385 11.4 10ssn 11.5 114808 11.325-29 192740 10.0 89457 9.8 103283 10.130-34 164037 8.5 n940 8.5 86097 8.535-39 131n2 6.8 61809 6.7 69963 6.940-44 125884 6.5 58218 6.4 67666 6.645-49 90097 4.7 40430 4.4 49667 4.950-54 74985 3.9 32671 3.6 42314 4.255-59 55513 2.9 27445 3.0 28068 2.860-64 40863 2.1 19905 2.2 20958 2.165-69 23261 1.2 9639 1.1 13622 1.370-74 18015 0.9 7963 0.9 10052 1.0

75-79 10886 0.6 3557 0.4 7329 0.7

80+ 7961 0.4 4398 0.5 3563 0.4

Not Stated 209 0.0 209 0.0 0 0.0

Sao Paolo

143




Number Percent Number Percent Number PercentTotal 17148046 100.0 8271731 100.0 8876315 100.0Under 1 year 245478 1.4 117096 1.4 128382 1.41-4 1084259 6.3 532589 6.4 551670 6.25-9 1376620 8.0 751208 9.1 625412 7.010-14 1667178 9.7 842260 10.2 824918 9.315-19 1843266 10.7 909935 11.0 933331 10.520-24 1587404 9.3 802379 9.7 785025 8.825-29 1387911 8.1 660981 8.0 726930 8.230-34 1384391 8.1 647104 7.8 737287 8.335-39 1393087 8.1 680926 8.2 712161 8.040-44 1240416 7.2 574232 6.9 666184 7.545-49 1048702 6.1 477928 5.8 570774 6.450-54 806678 4.7 385992 4.7 420686 4.755-59 600246 3.5 269764 3.3 330482 3.760-64 477954 2.8 227263 2.7 250691 2.865-69 406806 2.4 169139 2.0 237667 2.770-74 282769 1.6 111032 1.3 171737 1.975-79 150073 0.9 58988 0.7 91085 1.080+ 161338 0.9 52047 0.6 109291 1.2Not Stated 3470 0.0 868 0.0 2602 0.0Rio de JaneiroTotal 10386140 100.0 4887282 100.0 5498858 100.0Under 1 year 148957 1.4 63169 1.3 85788 1.61-4 660171 6.4 341387 7.0 318784 5.85-9 812081 7.8 424312 8.7 387769 7.110-14 837558 8.1 421955 8.6 415603 7.615-19 966183 9.3 467733 9.6 498450 9.120-24 844465 8.1 413825 8.5 430640 7.825-29 781883 7.5 369197 7.6 412686 7.530-34 835236 8.0 386614 7.9 448622 8.235-39 813205 7.8 373844 7.6 439361 8.040-44 783628 7.5 366297 7.5 417331 7.645-49 717595 6.9 315908 6.5 401687 7.350-54 557617 5.4 265474 5.4 292143 5.355-59 440511 4.2 196491 4.0 244020 4.460-64 388349 3.7 173895 3.6 214454 3.965-69 306623 3.0 126356 2.6 180267 3.370·74 222562 2.1 88097 1.8 134465 2.475-79 122883 1.2 43468 0.9 79415 1.480+ 146053 1.4 48680 1.0 97373 1.8Not Stated 580 0.0 580 0.0 0 0.0Belo HorizonteTotal 3979852 100.0 1911629 100.0 2068223 100.0Under 1 year 64469 1.6 34598 1.8 29871 1.41-4 298485 7.5 147374 7.7 151111 7.35-9 372166 9.4 183713 9.6 188453 9.110-14 384628 9.7 190692 10.0 193936 9.415·19 443361 11.1 210105 11.0 233256 11.320-24 390354 9.8 196170 10.3 194184 9.425-29 342554 8.6 168540 8.8 174014 8.430-34 332587 8.4 160818 8.4 171769 8.335-39 322123 8.1 153843 8.0 1682dO 8.140-44 267854 6.7 129941 6.8 137913 6.745-49 199650 5.0 91610 4.8 108040 5.250-54 161566 4.1 77671 4.1 83895 4.155-59 112773 2.8 50289 2.6 62484 3.060-64 92113 2.3 40084 2.1 52029 2.565-69 78165 2.0 37346 2.0 40819 2.0

144





70-74 532n 1.3 16681 0.9 36596 1.8

75-79 35347 0.9 12695 0.7 22652 1.1

80+ 28380 0.7 9459 0.5 18921 0.9

Chile, 1999SANTIAGOTotal 4739946 100.0 2276971 100.0 2462975 100.0ConcepcionTotal 374166 100.0 182394 100.0 191n2 100.0

ValparaisoTotal 284679 100.0 1390n 100.0 145602 100.0

Viiiadel MarTotal 338779 100.0 161661 100.0 lnl18 100.0

Colombia, 1993BOGOTATotal 4945446 100.0 2341n5 100.0 2603673 100.0

0-4 496711 10.0 251786 10.8 244925 9.4

5-9 485524 9.8 246008 10.5 239516 9.2

10-14 489031 9.9 243612 10.4 245419 9.4

15-19 460403 9.3 209864 9.0 250539 9.6

20-24 515968 10.4 235114 10.0 280854 10.8

25-29 521627 10.5 2422n 10.3 279350 10.7

30-34 482194 9.8 226035 9.7 256159 9.8

35-39 378644 7.7 174942 7.5 203702 7.8

4D-44 291022 5.9 138238 5.9 152784 5.9

45-49 212505 4.3 100231 4.3 112274 4.3

50-54 176699 3.6 82782 3.5 93917 3.6

55-59 129824 2.6 59845 2.6 69979 2.7

60-64 112997 2.3 50861 2.2 62136 2.4

65-69 74600 1.5 32660 1.4 41740 1.6

70-74 53311 1.1 22502 1.0 30809 1.2

75-79 32395 0.7 13079 0.6 19316 0.7

80+ 31993 0.6 11739 0.5 20254 0.8

CaliTotal 1666468 100.0 787905 100.0 878563 100.0

0-4 155134 9.3 78579 10.0 76555 8.7

5-9 157356 9.4 79447 10.1 n909 8.9

10-14 164836 9.9 81476 10.3 83380 9.5

15-19 160915 9.7 72594 9.2 88321 10.1

20-24 175634 10.6 79733 10.1 96101 10.9

25-29 171997 10.3 79750 10.1 92247 10.530-34 157661 9.5 74264 9.4 83397 9.5

35-39 124319 7.5 56922 7.2 67397 7.7

40-44 95445 5.7 458n 5.8 49568 5.6

45-49 71952 4.3 34138 4.3 37814 4.350-54 61821 3.7 29142 3.7 32679 3.7

55-59 47956 2.9 21934 2.8 26022 3.0

60-64 43105 2.6 19739 2.5 23366 2.7

65-69 29333 1.8 13531 1.7 15802 1.8

70·74 21093 1.3 9375 1.2 11718 1.3

75-79 13414 0.8 5865 0.7 7549 0.980+ 14297 0.9 5539 0.7 8758 1.0

MedellinTotal 1630009 100.0 753220 100.0 876789 100.0

0-4 153306 9.4 n674 10.3 75632 8.6

5-9 157332 9.7 79523 10.6 n809 8.9

10·14 157635 9.7 78607 10.4 79028 9.0

15-19 141363 8.7 64907 8.6 76456 8.7

146




Number Percent Number Percent Number Percent20·24 154800 9.5 68331 9.1 86469 9.925-29 168362 10.3 76046 10.1 92316 10.530-34 156424 9.6 71487 9.5 84937 9.735-39 125111 7.7 55728 7.4 69383 7.940-44 98902 6.1 44853 6.0 54049 6.245-49 74298 4.6 33646 4.5 40652 4.650·54 62209 3.8 27500 3.7 34709 4.055·59 48104 3.0 20792 2.8 27312 3.160-64 45078 2.8 18981 2.5 26097 3.065-69 31834 2.0 13516 1.8 18318 2.170-74 23280 1.4 9510 1.3 13770 1.675-79 15458 0.9 6190 0.8 9268 1.180+ 16513 1.0 5929 0.8 10584 1.2BarranquillaTotal 993759 100.0 470637 100.0 523122 100.00-4 99422 10.0 50680 10.8 48742 9.35·9 102569 10.3 51850 11.0 50719 9.710·14 108156 10.9 53839 11.4 54317 10.415-19 102117 10.3 46476 9.9 55641 10.620-24 106410 10.7 47422 10.1 58988 11.325-29 97219 9.8 44281 9.4 52938 10.130-34 87845 8.8 41479 8.8 46366 8.935·39 68835 6.9 32264 6.9 36571 7.040-44 52663 5.3 25721 5.5 26942 5.245-49 38267 3.9 18141 3.9 20126 3.850-54 32638 3.3 15343 3.3 17295 3.355-59 25836 2.6 11854 2.5 13982 2.760-64 23567 2.4 10702 2.3 12865 2.565-69 17150 1.7 7678 1.6 9472 1.870·74 13430 1.4 5989 1.3 7441 1.475·79 8540 0.9 3563 0.8 49n 1.080+ 9095 0.9 3355 0.7 5740 1.1Uruguay, 1996MONTEVIDEOTotal 1303182 100.0 605658 100.0 697524 100.0Under 1 year 19279 1.5 9943 1.6 9336 1.31-4 74238 5.7 37718 6.2 36520 5.25-9 96309 7.4 49118 8.1 47191 6.810-14 93789 7.2 47223 7.8 46566 6.715-19 104743 8.0 52578 8.7 52165 7.520-24 109189 8.4 53873 8.9 55316 7.925-29 92531 7.1 45301 7.5 47230 6.830-34 89923 6.9 43644 7.2 46279 6.635-39 88581 6.8 41863 6.9 46718 6.740-44 79833 6.1 37319 6.2 42514 6.145-49 70647 5.4 32286 5.3 38361 5.550-54 67036 5.1 29997 5.0 37039 5.355-59 63391 4.9 27593 4.6 35798 5.160-64 64237 4.9 27350 4.5 36887 5.365-69 62671 4.8 25865 4.3 36806 5.370-74 49628 3.8 19416 3.2 30212 4.375-79 34816 2.7 12351 2.0 22465 3.280+ 42341 3.2 12220 2.0 30121 4.3

146




Number Percent Number Percent Number Per centPaysanduTotal 74568 100.0 35438 100.0 39130 100.0Under 1 year 1380 1.9 663 1.9 717 1.81-4 5272 7.1 2582 7.3 2690 6.95-9 6895 9.2 3536 10.0 3359 8.610-14 6742 9.0 3319 9.4 3423 8.715-19 6341 8.5 3152 8.9 3189 8.120-24 53n 7.2 2639 7.4 2738 7.025-29 4721 6.3 2311 6.5 2410 6.230-34 4582 6.1 2174 6.1 2408 6.235-39 4n5 6.4 2205 6.2 2570 6.6

40-44 4442 6.0 2160 6.1 2282 5.845-49 3946 5.3 1804 5.1 2142 5.550-54 3761 5.0 1737 4.9 2024 5.255-59 3434 4.6 1595 4.5 1839 4.7

60-64 3357 4.5 1504 4.2 1853 4.765-69 3127 4.2 1437 4.1 1690 4.3

70-74 2498 3.3 1126 3.2 1372 3.575-79 1829 2.5 805 2.3 1024 2.6

80+ 2089 2.8 689 1.9 1400 3.6

RiveraTotal 62859 100.0 29481 100.0 33378 100.0Under 1 year 1239 2.0 620 2.1 619 1.91-4 4972 7.9 2557 8.7 2415 7.2

5-9 6073 9.7 3087 10.5 2986 8.910-14 6008 9.6 3075 10.4 2933 8.815-19 5428 8.6 2646 9.0 2782 8.3

20-24 4273 6.8 1951 6.6 2322 7.025-29 4200 6.7 1896 6.4 2304 6.9

30-34 4453 7.1 2081 7.1 2372 7.1

35-39 4270 6.8 1991 6.8 2279 6.8

40-44 3576 5.7 1666 5.7 1910 5.7

45-49 3307 5.3 14n 5.0 1830 5.5

50-54 2923 4.7 1346 4.6 15n 4.7

55-59 2790 4.4 1266 4.3 1524 4.6

60-64 2580 4.1 1147 3.9 1433 4.3

65-69 2236 3.6 944 3.2 1292 3.970-74 1n6 2.8 755 2.6 1021 3.175-79 1290 2.1 506 1.7 784 2.3

80+ 1465 2.3 470 1.6 995 3.0SaitoTotal 93117 100.0 44366 100.0 48751 100.0Under 1 year 1970 2.1 1000 2.3 970 2.0

1-4 7768 8.3 3885 8.8 3883 8.05-9 9523 10.2 4803 10.8 4720 9.7

10·14 9313 10.0 4696 10.6 4617 9.515-19 8494 9.1 4224 9.5 4270 8.8

20-24 6820 7.3 3279 7.4 3541 7.3

25-29 5738 6.2 2746 6.2 2992 6.1

30-34 5785 6.2 2737 6.2 3048 6.3

35-39 5857 6.3 2740 6.2 3117 6.440-44 5432 5.8 2519 5.7 2913 6.0

45-49 4907 5.3 2280 5.1 2627 5.4

50-54 4346 4.7 2070 4.7 2276 4.7

55-59 3765 4.0 1751 3.9 2014 4.1

60-64 3629 3.9 1686 3.8 1943 4.0

65·69 3204 3.4 1415 3.2 1789 3.7

147





70·74 2510 2.7 1036 2.3 1474 3.075-79 1978 2.1 784 1.8 1194 2.480+ 2078 2.2 715 1.6 1363 2.8

ASIA

Armenl.. '.YEREVANTotal 1248676 100.0 601456 100.0 647220 100.0Under 1 year 11451 0.9 6041 1.0 5410 0.81-4 52020 4.2 2n61 4.6 24259 3.75-9 98891 7.9 50988 8.5 47903 7.410-14 104506 8.4 52564 8.7 51942 8.015-19 101971 8.2 52198 8.7 49n3 7.720-24 97495 7.8 48690 8.1 48605 7.525-29 92005 7.4 45181 7.5 46824 7.230-34 92918 7.4 45928 7.6 46990 7.335·39 116404 9.3 56168 9.3 60236 9.340-44 118964 9.5 55791 9.3 63173 9.845-49 87051 7.0 39754 6.6 47297 7.350·54 56561 4.5 25586 4.3 30975 4.855-59 51189 4.1 22951 3.8 28238 4.460-64 57392 4.6 25813 4.3 31579 4.965-69 43468 3.5 19598 3.3 23870 3.770-74 34738 2.8 14320 2.4 20418 3.275-79 15726 1.3 5071 0.8 10655 1.680+ 15926 1.3 6853 1.1 9073 1.4Azerbaljen,,.

BAKUTotal 1794900 100.0 876400 100.0 918500 100.0Under 1 year 35000 1.9 18000 2.1 17000 1.91-4 146800 8.2 75200 8.6 71600 7.85-9 166200 9.3 85600 9.8 B0600 8.810-14 146800 8.2 75600 8.6 71200 7.815-19 160100 8.9 91300 10.4 68800 7.520-24 162500 9.1 81900 9.3 80600 8.825-29 179800 10.0 87600 10.0 92200 10.030-34 157300 8.8 nooo 8.8 80300 8.735-39 126900 7.1 61800 7.1 65100 7.140-44 85100 4.7 40700 4.6 44400 4.845-49 80200 4.5 38800 4.4 41400 4.550-54 95600 5.3 45300 5.2 50300 5.555·59 75400 4.2 34900 4.0 40500 4.460-64 ooסס7 3.9 29700 3.4 40300 4.465-69 36500 2.0 12300 1.4 24200 2.670-74 27400 1.5 8400 1.0 19000 2.175-79 24200 1.3 7200 0.8 17000 1.980+ 19100 1.1 5100 0.6 14000 1.5GiandjaTotal 2B0600 100.0 136000 100.0 144600 100.0Under 1 year 7100 2.5 3500 2.6 3600 2.51-4 28400 10.1 14700 10.8 13700 9.55-9 31600 11.3 16500 12.1 15100 10.410-14 26200 9.3 13500 9.9 12700 8.815-19 23000 8.2 10800 7.9 12200 8.420-24 27400 9.8 13300 9.8 14100 9.825-29 28600 10.2 13600 10.0 15000 10.430-34 24100 8.6 11600 8.5 12500 8.635-39 18000 6.4 8700 6.4 9300 6.4

148




Number Percent Number Per cent Number Percent

40-44 11000 3.9 5400 4.0 5600 3.9

45-49 11300 4.0 5500 4.0 5800 4.0

50-54 13000 4.6 6000 4.4 7000 4.8

55-59 11100 4.0 5300 3.9 5800 4.0

60-64 8300 3.0 3700 2.7 4600 3.2

65-69 3900 1.4 1500 1.1 2400 1.7

70-74 3000 1.1 900 0.7 2100 1.5

75-79 2400 0.9 800 0.6 1600 1.1

80+ 2200 0.8 700 0.5 1500 1.0

Sumgait

Total 254400 100.0 126900 100.0 127500 100.0

Under 1 year 6200 2.4 3200 2.5 3000 2.4

1-4 25800 10.1 13200 10.4 12600 9.9

5-9 29600 11.6 15200 12.0 14400 11.3

10-14 24800 9.7 12600 9.9 12200 9.6

15-19 22200 8.7 11800 9.3 10400 8.2

20-24 24800 9.7 12200 9.6 12600 9.9

25-29 28100 11.0 14200 11.2 13900 10.9

30-34 23200 9.1 11400 9.0 11600 9.3

35-39 16900 6.6 8300 6.5 8600 6.7

40-44 9700 3.8 4800 3.8 4900 3.8

45-49 10400 4.1 5200 4.1 5200 4.1

50-54 12300 4.8 6400 5.0 5900 4.6

55-59 7900 3.1 3900 3.1 4000 3.1

60-64 5600 2.2 2400 1.9 3200 2.5

65-69 2500 1.0 900 0.7 1600 1.3

70-74 1700 0.7 500 0.4 1200 0.9

75-79 1400 0.6 400 0.3 1000 0.8

80+ 1300 0.5 300 0.2 1000 0.8

Mingecheviz

Total 82300 100.0 41200 100.0 41100 100.0

Under 1 year 2000 2.4 1000 2.4 1000 2.4

1-4 9000 10.9 4700 11.4 4300 10.5

5-9 10400 12.6 5400 13.1 5000 12.2

10-14 8200 10.0 4300 10.4 3900 9.5

15·19 6700 8.1 3700 9.0 3000 7.3

20-24 7300 8.9 3600 8.7 3700 9.0

25-29 9300 11.3 4400 10.7 4900 11.9

30-34 8300 10.1 3900 9.5 4400 10.7

35-39 5600 6.8 2900 7.0 2700 6.6

40-44 2900 3.5 1500 3.6 1400 3.4

45-49 2800 3.4 1500 3.6 1300 3.2

50-54 3300 4.0 1600 3.9 1700 4.1

55-59 2400 2.9 1100 2.7 1300 3.2

60-64 2000 2.4 900 2.2 1100 2.7

65-69 900 1.1 400 1.0 500 1.2

70·74 500 0.6 200 0.5 300 0.7

75-79 400 0.5 100 0.2 300 0.7

80+ 300 0.4 0.0 300 0.7

Cambodia, 1998

PHNOM PENHTotal 999804 100.0 481911 100.0 517893 100.0

Under 1 year 15106 1.5 7851 1.6 7255 1.4

1-4 74729 7.5 38312 8.0 36417 7.0

5-9 113965 11.4 58149 12.1 55816 10.8

10-14 127189 12.7 64777 13.4 62412 12.1

15-19 144717 14.5 65791 13.7 78926 15.2

149




Number Percent Number Percent Number Percent20-24 84062 8.4 40307 8.4 43755 8.425·29 96842 9.7 48501 10.1 48341 9.330-34 80006 8.0 40418 8.4 39588 7.635-39 69835 7.0 34508 7.2 35327 6.840-44 54436 5.4 23874 5.0 30562 5.945-49 43358 4.3 19827 4.1 23531 4.550-54 30276 3.0 13270 2.8 17006 3.355-59 20949 2.1 9322 1.9 11627 2.260-64 16107 1.6 6620 1.4 9487 1.865-69 11803 1.2 4514 0.9 7289 1.470-74 7672 0.8 2693 0.6 4979 1.075-79 4697 0.5 1639 0.3 3058 0.680+ 4055 0.4 1538 0.3 2517 0.5Kampong ChamTotal 1608914 100.0 n5796 100.0 833118 100.0Under 1 year 30049 1.9 15288 2.0 14761 1.81-4 171310 10.6 87654 11.3 83656 10.05-9 246076 15.3 125757 16.2 120319 14.410-14 229643 14.3 118332 15.3 111311 13.415-19 188138 11.7 93805 12.1 94333 11.320-24 115301 7.2 53917 6.9 61384 7.4,25-29 123362 7.7 58982 7.6 64380 7.730-34 105952 6.6 49972 6.4 55980 6.735-39 94420 5.9 43511 5.6 50909 6.140-44 66667 4.1 25nO 3.3 40897 4.945-49 57395 3.6 24092 3.1 33303 4.050-54 44468 2.8 19185 2.5 25283 3.055-59 36463 2.3 15899 2.0 20564 2.560-64 31410 2.0 13767 1.8 17643 2.165-69 27036 1.7 11961 1.5 15075 1.870-74 18958 1.2 8294 1.1 10664 1.375-79 12195 0.8 5405 0.7 6790 0.880+ 10071 0.6 4205 0.5 5866 0.7Bat Dambang

Total 793129 100.0 388599 100.0 404530 100.0Under 1 year 16754 2.1 8647 2.2 8107 2.01-4 85889 10.8 43865 11.3 42024 10.45-9 128448 16.2 65635 16.9 62813 15.510-14 120765 15.2 62024 16.0 58741 14.515-19 90761 11.4 45955 11.8 44806 11.120-24 45475 5.7 22469 5.8 23006 5.725-29 56847 7.2 27804 7.2 29043 7.230-34 54699 6.9 26613 6.8 28086 6.935·39 49784 6.3 23795 6.1 25989 6.440-44 36996 4.7 16049 4.1 20947 5.245-49 28911 3.6 12703 3.3 16208 4.050-54 20999 2.6 9194 2.4 11805 2.955-59 18084 2.3 7963 2.0 10121 2.560-64 13637 1.7 5827 1.5 7810 1.965-69 10545 1.3 4393 1.1 6152 1.570-74 7172 0.9 2935 0.8 4237 1.075-79 4387 0.6 1663 0.4 2724 0.780+ 2976 0.4 1065 0.3 1911 0.5SiemRiabTotal 696164 100.0 336685 100.0 359479 100.0Under 1 year 16798 2.4 8515 2.5 8283 2.31-4 82571 11.9 42131 12.5 40440 11.25-9 112740 16.2 57570 17.1 55170 15.3

150




Number Percent Number Percent Number Percent10-14 103533 14.9 52921 15.7 50612 14.115-19 81185 11.7 40043 11.9 41142 11.420·24 47561 6.8 22847 6.8 24714 6.925·29 52967 7.6 25309 7.5 27678 7.730-34 47721 6.9 22379 6.6 25342 7.035-39 42202 6.1 20130 6.0 22072 6.14ll-44 28152 4.0 11614 3.4 16538 4.645-49 22867 3.3 9387 2.8 13480 3.750-54 16804 2.4 6996 2.1 9608 2.755-59 13410 1.9 5671 1.7 7739 2.260-64 10354 1.5 4193 1.2 6161 1.765-69 8047 1.2 3314 1.0 4733 1.370-74 5106 0.7 2069 0.6 3037 0.875·79 2497 0.4 990 0.3 1507 0.480+ 1629 0.2 606 0.2 1023 0.3

China-Hong Kong SAR. 1996Total 6217556 100.0 3108107 100.0 3109449 100.0Under 1 year 62195 1.0 33359 1.1 28836 0.90-4 277486 4.5 143844 4.6 133642 4.35-9 380783 6.1 197025 6.3 183758 5.910·14 430574 6.9 222025 7.1 208549 6.715·19 417010 6.7 215472 6.9 201538 6.520-24 452501 7.3 225172 7.2 227329 7.325·29 532849 8.6 247040 7.9 285809 9.230·34 655575 10.5 310308 10.0 345267 11.135-39 655078 10.5 326359 10.5 328719 10.64ll-44 523444 8.4 265034 8.5 258410 8.345-49 430018 6.9 226602 7.3 203416 6.550-54 253551 4.1 139612 4.5 113939 3.755-59 256642 4.1 137972 4.4 118670 3.860-64 260295 42 135461 4.4 124834 4.065-69 230106 3.7 113662 3.7 116444 3.770-74 173518 2.8 80505 2.6 93013 3.075-79 116185 1.9 50494 1.6 65691 2.180+ 109746 1.8 38161 1.2 71585 2.3

China-Macau SAR, 1996

Total 414128 100.0 199257 100.0 214871 100.00-4 30753 7.4 15819 7.9 14934 7.05·9 40697 9.8 21074 10.6 19623 9.110-14 35240 8.5 18427 9.2 16813 7.815-19 23682 5.7 11555 5.8 12127 5.620-24 33528 8.1 13468 6.8 20060 9.325-29 34332 8.3 14537 7.3 19795 9.230-34 44641 10.8 19593 9.8 25048 11.735-39 46366 11.2 22742 11.4 23624 11.04ll-44 36901 8.9 19492 9.8 17409 8.145-49 24468 5.9 13354 6.7 11114 5.250-54 13996 3.4 7502 3.8 6494 3.055·59 10102 2.4 5230 2.6 4872 2.360-64 10976 2.7 5117 2.6 5859 2.765-69 9912 2.4 4223 2.1 5689 2.670-74 7942 1.9 3166 1.6 4776 2.275·79 5426 1.3 2152 1.1 3274 1.580+ 5166 1.2 1806 0.9 3360 1.6

151




Number Percent Number Percent Number PercentCyprus. 1992NICOSIATotal 177451 100.0 87562 100.0 89889 100.00-4 13471 7.6 6920 7.9 6551 7.35-9 14288 8.1 7352 8.4 6936 7.710-14 14095 7.9 7199 8.2 6896 7.715-19 12549 7.1 6424 7.3 6125 6.820-24 13036 7.3 6600 7.5 6436 7.225-29 13429 7.6 6666 7.6 6763 7.530-34 14736 8.3 7088 8.1 7648 8.535-39 13710 7.7 6582 7.5 7128 7.940-44 13486 7.6 6586 7.5 6900 7.745-49 12118 6.8 6111 7.0 6007 6.7SO-54 9387 5.3 4621 5.3 4766 5.355-59 8027 4.5 4031 4.6 3996 4.460-64 6916 3.9 3226 3.7 3690 4.165-69 5987 3.4 2751 3.1 3236 3.670-74 4550 2.6 2118 2.4 2432 2.775-79 3438 1.9 1470 1.7 1968 2.280+ 3920 2.2 1644 1.9 2276 2.5·0Not Stated 308 0.2 173 0.2 135 0.2

UmassolTotal 136741 100.0 67767 100.0 68974 100.00-4 11860 8.7 6027 8.9 5833 8.55-9 11714 8.6 6069 9.0 5645 8.210-14 10856 7.9 5620 8.3 5236 7.615-19 9625 7.0 4882 7.2 4743 6.920-24 10286 7.5 S052 7.5 5234 7.625-29 10974 8.0 5414 8.0 5560 8.130-34 11912 8.7 5873 8.7 6039 8.835-39 10302 7.5 5151 7.6 5151 7.540-44 9681 7.1 4794 7.1 4887 7.145-49 9155 6.7 4S09 6.7 4646 6.7SO-54 7120 5.2 3580 5.3 3540 5.155-59 5986 4.4 2948 4.4 3038 4.460-64 4994 3.7 2338 3.5 2656 3.965-69 4091 3.0 1939 2.9 2152 3.170-74 3044 2.2 1389 2.0 1655 2.475-79 2392 1.7 1045 1.5 1347 2.080+ 2602 1.9 1052 1.6 1550 2.2Not Stated 147 0.1 85 0.1 62 0.1

LamakaTotal 60557 100.0 29883 100.0 30674 100.00-4 5305 8.8 2786 9.3 2519 8.25-9 5282 8.7 2716 9.1 2566 8.410-14 SOlO 8.3 2551 8.5 2459 8.015-19 4277 7.1 2166 7.2 2111 6.920-24 4449 7.3 2199 7.4 22SO 7.325-29 4854 8.0 2373 7.9 2481 8.130-34 S015 8.3 2543 8.5 2472 8.135-39 4297 7.1 2153 7.2 2144 7.040-44 3898 6.4 1921 6.4 1977 6.445-49 3609 6.0 1780 6.0 1829 6.050-54 2823 4.7 1397 4.7 1426 4.655-59 2592 4.3 1231 4.1 1361 4.460-64 2286 3.8 1004 3.4 1282 4.265-69 2120 3.5 969 3.2 1151 3.8

152




Number Percent Number Percent Number Percent70-74 1691 2.8 766 2.6 925 3.075-79 1269 2.1 551 1.8 718 2.380+ 1406 2.3 557 1.9 849 2.8Not Stated 374 0.6 220 0.7 154 0.5PatosTotal 32575 100.0 16599 100.0 15976 100.00-4 3099 9.5 1565 9.4 1534 9.65-9 3245 10.0 1700 10.2 1545 9.710-14 2832 8.7 1526 9.2 1306 8.215-19 2168 6.7 1098 6.6 1070 6.720-24 2528 7.8 1220 7.3 1308 8.225-29 2n3 8.5 1367 8.2 1406 8.830-34 2917 9.0 1530 9.2 1387 8.735-39 2635 8.1 1428 8.6 1207 7.640-44 2272 7.0 1154 7.0 1118 7.045-49 1907 5.9 985 5.9 922 5.850-54 1336 4.1 700 4.2 636 4.055-59 1135 3.5 553 3.3 582 3.660-64 1058 3.2 499 3.0 559 3.565-69 887 2.7 426 2.6 461 2.970-74 708 2.2 338 2.0 370 2.375-79 SOl 1.5 244 1.5 257 1.680+ 541 1.7 247 1.5 294 1.8Not Stated 33 0.1 19 0.1 14 0.1Georgie, 1989TBILISITotal 122nl0 100.0 563451 100.0 664259 100.00-4 80978 6.6 41223 7.3 39755 6.05-9 96569 7.9 49195 8.7 47374 7.110-14 92399 7.5 46713 8.3 45686 6.915-19 98588 8.0 50701 9.0 47887 7.220-24 100265 8.2 46103 8.2 54162 8.225·29 113713 9.3 51890 9.2 61823 9.330-34 101251 8.2 46417 8.2 54834 8.335-39 91549 7.5 41898 7.4 49651 7.540-44 71390 5.8 32498 5.8 38892 5.945-49 71620 5.8 32266 5.7 39354 5.950-54 80468 6.6 36686 6.5 43782 6.655·59 62871 5.1 28596 5.1 34275 5.260-64 61788 5.0 25530 4.5 36258 5.565-69 35005 2.9 11855 2.1 23150 3.570·74 28224 2.3 8878 1.6 19346 2.975-79 22790 1.9 7456 1.3 15334 2.380+ 18242 1.5 5546 1.0 12696 1.9KutaisiTotal 228992 100.0 108711 100.0 120281 100.00-4 16409 7.2 8189 7.5 8220 6.85-9 18885 8.2 9648 8.9 9237 7.710-14 17978 7.9 9117 8.4 8881 7.415·19 18920 8.3 9741 9.0 9179 7.620-24 19364 8.5 8937 8.2 10427 8.725-29 22702 9.9 10383 9.6 12319 10.230-34 20283 8.9 9n3 9.0 10510 8.735-39 181SO 7.9 8762 8.1 9388 7.840-44 11914 5.2 5823 5.4 6091 5.145-49 13467 5.9 6309 5.8 7158 6.0SO-54 14728 6.4 7071 6.5 7657 6.455-59 11840 5.2 5633 5.2 6207 5.2

153




Number Percent Number Percent Number Percent60-64 10425 4.6 4664 4.3 5761 4.865-69 5308 2.3 1949 1.8 3359 2.870-74 4026 1.8 1323 1.2 2703 2.275-79 2609 1.1 809 0.7 1800 1.580+ 1984 0.9 580 0.5 1404 1.2RustaviTotal 159016 100.0 77302 100.0 81714 100.0Under 1 year 2929 1.8 1494 1.9 1435 1.81-4 12022 7.6 6167 8.0 5855 7.25-9 13670 8.6 6935 9.0 6735 8.210-14 12700 8.0 6447 8.3 6253 7.715-19 12383 7.8 6553 8.5 5830 7.120-24 13354 8.4 6499 8.4 6855 8.425-29 16574 10.4 8027 10.4 8547 10.530-34 14940 8.0 7189 9.3 7751 9.535-39 12749 5.1 6175 8.0 6574 8.040-44 8036 5.2 3893 5.0 4143 5.145-49 8272 5.2 4083 5.3 4189 5.150-54 9357 5.7 4429 5.7 4928 6.055-59 7542 4.7 3434 4.4 4108 5.060-64 7881 5.0 3732 4.8 4149 5.165-69 2793 1.8 1028 1.3 1765 2.270-74 1664 1.0 578 0.7 1086 1.375-79 1215 0.8 398 0.5 817 1.080+ 935 0.6 241 0.3 694 0.8BatumiTotal 136930 100.0 64388 100.0 72542 100.0Under 1 ysar 2120 1.5 1109 1.7 1011 1.41-4 9450 6.9 4860 7.5 4590 6.35-9 11441 8.4 5953 9.2 5488 7.610-14 11115 8.1 5849 9.1 5266 7.315-19 11829 8.6 8838 10.6 4991 6.920-24 9908 7.2 4711 7.3 5197 7.225-29 11744 8.6 5272 8.2 6472 8.930-34 10967 8.0 4992 7.8 5975 8.235-39 10295 7.5 4835 7.5 5460 7.540-44 7713 5.6 3644 5.7 4069 5.645-49 8020 5.9 3693 5.7 4327 6.050-54 8167 6.0 3774 5.9 4393 6.155-59 6399 4.7 2824 4.4 3575 4.960-64 6572 4.8 2602 4.0 3970 5.565-69 4028 2.9 1283 2.0 2745 3.870-74 3167 2.3 972 1.5 2195 3.075-79 2384 1.7 752 1.2 1632 2.280+ 1611 1.2 425 0.7 1186 1.6Iran, 1997TEHERANTotal 6758845 100.0 3468946 100.0 3289899 100.0Under 1 year 89063 1.3 45359 1.3 43704 1.31-4 400619 5.9 206189 5.9 194430 5.95-9 702920 10.4 358059 10.3 344861 10.510-14 884914 13.1 449946 13.0 434968 13.215·19 744324 11.0 378635 10.9 365689 11.120-24 612223 9.1 316728 9.1 295495 9.025-29 609854 9.0 314543 9.1 295311 9.030-34 552353 8.2 279503 8.1 272850 8.335-39 496265 7.3 249677 7.2 246588 7.540-44 408935 6.1 210877 6.1 198058 6.045-49 308766 4.6 159567 4.6 149199 4.5

154





SO·54 237662 3.5 124923 3.6 112739 3.4

55·59 194013 2.9 104206 3.0 89807 2.7

60-64 173797 2.6 95921 2.8 77876 2.4

65-69 130658 1.9 67898 2.0 62760 1.9

70·74 100687 1.5 52146 1.5 48541 1.5

75-79 50350 0.7 25138 0.7 25212 0.8

80+ 61442 0.9 29631 0.8 31811 0.9

MashhadTotal 1887405 100.0 957345 100.0 930060 100.0

Under 1 year 31598 1.7 16212 1.7 15386 1.7

1-4 148448 7.9 76055 7.9 72393 7.8

5-9 267676 14.2 136055 14.2 131621 14.2

10-14 296565 15.7 150447 15.7 146118 15.7

15-19 224179 11.9 112122 11.7 112057 12.0

20·24 153101 8.1 73752 7.7 79349 8.5

25-29 148857 7.9 74317 7.8 74540 8.0

30-34 133197 7.1 67371 7.0 65826 7.1

35·39 123832 6.6 63134 6.6 60698 6.5

40-44 95793 5.1 49856 5.2 45937 4.9

45-49 62531 3.3 31651 3.3 30880 3.3

50-54 52646 2.8 27866 2.9 24780 2.7

55·59 40643 2.2 21706 2.3 18937 2.0

60·64 38773 2.1 20738 2.2 18035 1.9

65-69 26695 1.4 13711 1.4 12984 1.4

70-74 23441 1.2 12571 1.3 10870 1.2

75·79 10470 0.6 5458 0.6 5012 0.5

80+ 8215 0.4 3886 0.4 4329 0.5

Not Stated 745 0.0 437 0.0 308 0.0

Esfahan

Total 1266072 100.0 651270 100.0 614802 100.0

Under 1 year 17412 1.4 8858 1.4 8554 1.4

1-4 82046 6.5 42218 6.5 39828 6.5

5·9 147777 11.7 75402 11.6 72375 11.8

10·14 180050 14.2 92124 14.1 87926 14.3

15·19 146087 11.5 72891 11.2 72196 11.7

20·24 114216 9.0 57735 8.9 56481 9.2

25·29 108350 8.6 55631 8.5 52719 8.6

30·34 98186 7.8 50371 7.7 47815 7.8

35·39 88718 7.0 45338 7.0 43380 7.1

40-44 73612 5.8 38729 5.9 34883 5.7

45-49 52891 4.2 27760 4.3 25131 4.1

50-54 40309 3.2 21565 3.3 18744 3.0

55·59 31317 2.5 17140 2.6 14177 2.3

60-64 28609 2.3 15810 2.4 12799 2.1

65-69 21645 1.7 11191 1.7 10454 1.7

70·74 18191 1.4 9636 1.5 8555 1.4

75·79 8935 0.7 4512 0.7 4423 0.7

80+ 7167 0.6 3072 0.5 4095 0.7

Not Stated 554 0.0 287 0.0 267 0.0

TabrizCityTotal 1191043 100.0 609813 100.0 581230 100.0Under 1 year 16003 1.3 8320 1.4 7683 1.31-4 78884 6.6 40610 6.7 38274 6.65-9 135610 11.4 69105 11.3 66505 11.410·14 165885 13.9 84178 13.8 81707 14.1

15·19 143662 12.1 72391 11.9 71271 12.320-24 110314 9.3 55033 9.0 55281 9.5

155




Number Percent Number Percent Number Percent25-29 101682 8.5 52104 8.5 49578 8.530-34 88023 7.4 44642 7.3 43381 7.535-39 81968 6.9 41547 6.8 40421 7.040-44 66091 5.5 35186 5.8 30905 5.345-49 46883 3.9 24596 4.0 22287 3.850-54 36497 3.1 19469 3.2 17028 2.955-59 32560 2.7 17200 2.8 15360 2.660-64 30301 2.5 159n 2.6 14324 2.565-69 24563 2.1 12873 2.1 11690 2.070-74 19671 1.7 10413 1.7 9258 1.675-79 6938 0.6 3660 0.6 3278 0.680+ 5458 0.5 2481 0.4 2977 0.5Not Stated 50 0.0 28 0.0 22 0.0Israel,1995"JERUSALEM'

Total 617042 100.0 305569 100.0 311473 100.0Under 1 year 16716 2.7 8601 2.8 8115 2.61-4 64634 10.5 32913 10.8 31721 10.25-9 71160 11.5 36214 11.9 34946 11.210-14 63382 10.3 33056 10.8 30326 9.715·19 61459 10.0 32264 10.6 29195 9.420-24 56868 9.2 28022 9.2 28846 9.325·29 45142 7.3 22418 7.3 22724 7.330·34 389n 6.3 19357 6.3 19620 6.335-39 34514 5.6 16976 5.6 17538 5.640-44 31803 5.2 15349 5.0 16454 5.345-49 28810 4.7 13616 4.5 15194 4.950·54 20088 3.3 9443 3.1 10645 3.455·59 18834 3.1 8794 2.9 10040 3.260-64 17092 2.8 7848 2.6 9244 3.065-69 15679 2.5 6978 2.3 8701 2.870-74 12662 2.1 5647 1.8 7015 2.375-79 m4 1.3 3382 1.1 4392 1.480+ 11448 1.9 4691 1.5 6757 2.2Tel Aviv-JaffaTotal 255914 100.0 123236 100.0 132678 100.0Under 1 year 3249 1.3 1726 1.4 1523 1.11-4 12533 4.9 6400 5.2 6133 4.65-9 16979 6.6 8762 7.1 8217 6.210-14 18115 7.1 9381 7.6 8734 6.615-19 21273 8.3 11542 9.4 9731 7.320-24 22661 8.9 11922 9.7 10739 8.125-29 17334 6.8 8932 7.2 8402 6.330-34 14445 5.6 7021 5.7 7424 5.635-39 14791 5.8 6961 5.6 7830 5.940-44 16061 6.3 7341 6.0 8720 6.645-49 17574 6.9 8153 6.6 9421 7.150-54 10835 4.2 4958 4.0 58n 4.455-59 12545 4.9 5522 4.5 7023 5.360-64 12220 4.8 5330 4.3 6890 5.265-69 13463 5.3 5753 4.7 n10 5.870-74 12987 5.1 5840 4.6 7347 5.575-79 7889 3.1 3496 2.8 4393 3.380+ 10960 4.3 4396 3.6 6564 4.9Haifa

Total 348245 100.0 164048 100.0 184197 100.0Under 1 year 4508 1.3 2314 1.4 2194 1.21-4 16740 4.8 8629 5.3 8111 4.4

166

United Nations

• Secretariat

ST/ESA/STAT/SER.N/6/Corr.l

Corrigendumto Sales No.E.Ol.XVII.5

January 2002English only

Compendium of Human Settlements Statistics 2001

Sixth issue

Corrigendum

Page 156, Israel 1995

Tel Aviv-Jaffa should read Haifa

Haifa should read Tel Aviv-Yafo

02-24854 (E)

111111111111111111111111111111111111111111111




Number Percent Number Percent Number Percent5-9 20700 5.9 10623 6.5 10077 5.510-14 20535 5.9 10501 6.4 10034 5.415-19 22174 6.4 11274 6.9 10900 5.920-24 31320 9.0 14750 9.0 16570 9.025-29 32795 9.4 16257 9.9 16538 9.030-34 25657 7.4 12839 7.8 12818 7.035-39 21833 6.3 10623 6.5 11210 6.140-44 21399 6.1 10153 6.2 11246 6.145-49 20898 6.0 9438 5.8 11460 6.250-54 14321 4.1 6491 4.0 7830 4.355-59 15319 4.4 6593 4.0 8726 4.760-64 16272 4.7 6820 4.2 9452 5.165-69 17221 4.9 7092 4.3 10129 5.570-74 17491 5.0 7293 4.4 10198 5.575-79 12028 3.5 5139 3.1 6889 3.780+ 17034 4.9 7219 4.4 9815 5.3Rishon L'ZionTotal 163245 100.0 ooסס8 100.0 83245 100.0Under 1 year 2419 1.5 1249 1.6 1170 1.41-4 10290 6.3 5218 6.5 5072 6.15-9 14079 8.6 7103 8.9 6976 8.410-14 15523 9.5 7916 9.9 7607 9.115-19 15847 9.7 8175 10.2 7672 9.220-24 13557 8.3 6987 8.7 6570 7.925-29 10569 6.5 5022 6.3 5547 6.730-34 10646 6.5 5042 6.3 5604 6.735-39 11987 7.3 5519 6.9 6468 7.840-44 13745 8.4 6538 8.2 7207 8.745-49 13470 8.3 6743 8.4 6727 8.150-54 6662 4.1 3487 4.4 3175 3.855-59 5581 3.4 2822 3.5 2759 3.360-64 4592 2.8 2213 2.8 2379 2.965-69 4430 2.7 1937 2.4 2493 3.070-74 4067 2.5 1673 2.1 2394 2.975-79 2491 1.5 1062 1.3 1429 1.780+ 3290 2.0 1294 1.6 1996 2.4Jlpln,1995TOKYOTotal 7967614 100.0 3959416 100.0 4008198 100.0Under 1 year 61659 0.8 31525 0.8 30134 0.81-4 236736 3.0 121323 3.1 115413 2.95-9 309318 3.9 157568 4.0 151750 3.810-14 347390 4.4 177542 4.5 169848 4.215-19 462372 5.8 235149 5.9 227223 5.720-24 772662 9.7 398929 10.1 373733 9.325-29 726309 9.1 378670 9.6 347639 8.730·34 614889 7.7 322962 ·8.2 291927 7.335-39 506741 6.4 263090 6.6 243651 6.140-44 530512 6.7 274246 6.9 256266 6.445-49 664961 8.3 339854 8.6 325107 8.150-54 590250 7.4 294139 7.4 296111 7.455-59 532538 6.7 259091 6.5 273447 6.8

60-64 486596 6.1 233037 5.9 253559 6.365-69 388249 4.9 177996 4.5 210253 5.270·74 281284 3.5 116076 2.9 165208 4.175-79 195170 2.4 75727 1.9 119443 3.080+ 227575 2.9 80703 2.0 146872 3.7

167





Not Stated 32403 0.4 21789 0.6 10614 0.3

YokohamaTotal 3307136 100.0 1685332 100.0 1621804 100.0

Under 1 year 32514 1.0 16668 1.0 15846 1.0

1-4 124416 3.8 63731 3.8 60685 3.7

5-9 158316 4.8 81364 4.8 76952 4.710-14 176094 5.3 89901 5.3 86193 5.3

15-19 212480 6.4 110414 6.6 102066 6.3

20-24 298122 9.0 159283 9.5 138839 8.6

25-29 294190 8.9 158290 9.4 135900 8.4

30-34 258475 7.8 137910 8.2 120565 7.4

35-39 216737 6.6 113616 6.7 103121 6.44Q-44 232346 7.0 119702 7.1 112644 6.945-49 285812 8.6 145017 8.6 140795 8.750-54 250237 7.6 125395 7.4 124842 7.755-59 215443 6.5 109501 6.5 105942 6.56Q-64 183766 5.6 92345 5.5 91421 5.665-69 140088 4.2 69006 4.1 71082 4.470-74 934n 2.8 41135 2.4 52342 3.275-79 62490 1.9 25194 1.5 37296 2.380+ 68705 2.1 24424 1.4 44281 2.7Not Stated 3428 0.1 2436 0.1 992 0.1

OsakaTotal 2602421 100.0 1278212 100.0 1324209 100.0Under 1 year 24300 0.9 12404 1.0 11896 0.91-4 90631 3.5 46368 3.6 44263 3.35-9 114723 4.4 586n 4.6 56046 4.210-14 122205 4.7 62440 4.9 59765 4.515-19 1548n 6.0 79339 6.2 75538 5.720-24 235018 9.0 118119 9.2 116899 8.825-29 218707 8.4 109401 8.6 109306 8.330-34 183356 7.0 92766 7.3 90590 6.835-39 150348 5.8 76650 6.0 73698 5.64Q-44 16n39 6.4 86296 6.8 81443 6.245-49 217026 8.3 111555 8.7 105471 8.050-54 198556 7.6 99802 7.8 98754 7.555-59 184017 7.1 90534 7.1 93483 7.16Q-64 169100 6.5 81986 6.4 87114 6.665-69 132864 5.1 61590 4.8 71274 5.470-74 94886 3.6 38302 3.0 56584 4.375-79 65028 2.5 24086 1.9 40942 3.180+ 73105 2.8 23956 1.9 49149 3.7Not Stated 5935 0.2 3941 0.3 1994 0.2

SapporoTotal 1757025 100.0 843170 100.0 913855 100.0Under 1 year 16008 0.9 8158 1.0 7850 0.91-4 65138 3.7 33237 3.9 31901 3.55-9 89293 5.1 46187 5.5 43106 4.710-14 102837 5.9 52524 6.2 50313 5.515-19 129892 7.4 66065 7.8 63827 7.020-24 160561 9.1 79704 9.5 80857 8.825-29 135033 7.7 63753 7.6 71280 7.830-34 126672 7.2 60510 7.2 66162 7.235-39 119566 6.8 57827 6.9 61739 6.840-44 140043 8.0 67019 7.9 73024 8.045-49 155063 8.8 73558 8.7 81505 8.950-54 116666 6.6 55142 6.5 61524 6.7

158

-------_._._------------------------------------------




Number Percent Number Percent Number Percent55-59 99642 5.7 46794 5.5 52848 5.860-64 92838 5.3 44022 5.2 48816 5.365-69 76017 4.3 36007 4.3 40010 4.470-74 52500 3.0 22161 2.6 30339 3.375-79 35125 2.0 13929 1.7 21196 2.380+ 39255 2.2 13459 1.6 25796 2.8Not Stated 4876 0.3 3114 0.4 1762 0.2Korea. RepUblic of, 1995SEOULTotal 10217177 100.0 5131249 100.0 5085928 100.0Under 1 year 144667 1.4 76458 1.5 68209 1.31-4 580632 5.7 306147 6.0 274485 5.45-9 632543 6.2 332080 6.5 300463 5.910-14 808174 7.9 422540 8.2 385634 7.615-19 901237 8.8 467366 9.1 433871 8.520-24 1127160 11.0 562765 11.0 584395 11.125-29 1090104 10.7 554784 10.8 535320 10.530-34 966454 9.5 497746 9.7 468708 9.235-39 940145 9.2 459577 9.0 480568 9.440-44 784681 7.5 374944 7.3 389737 7.745-49 644876 6.3 322359 6.3 322517 6.350-54 516318 5.1 266372 5.2 249946 4.955-59 403244 3.9 206649 4.0 196595 3.960-64 265822 2.6 127005 2.5 138817 2.765-69 171775 1.7 69853 1.4 101922 2.070-74 122622 1.2 45267 0.9 77355 1.575-79 74458 0.7 23905 0.5 50553 1.080+ 62245 0.6 15417 0.3 48828 0.9Not Stated 20 0.0 15 0.0 5 0.0PusanTotal 3809618 100.0 1898054 100.0 1911564 100.0Under 1 year 48158 1.3 26047 1.4 22111 1.21-4 208019 5.5 112282 5.9 95737 5.05-9 246601 6.5 130156 6.9 116445 6.110-14 333021 8.7 172588 9.1 160433 8.415-19 382318 9.5 185373 9.8 176945 9.320-24 391449 10.3 198119 10.4 193330 10.125-29 339248 8.9 167856 8.8 171392 9.030-34 335660 8.8 165766 8.7 169894 8.935-39 386612 9.6 178804 9.4 187808 9.840-44 302194 7.9 152119 8.0 150075 7.945-49 243310 6.4 123176 6.5 120134 6.350-54 190697 5.0 97014 5.1 93683 4.955-59 158334 4.2 78422 4.1 79912 4.260-64 111578 2.9 50834 2.7 60744 3.265-69 74294 2.0 28984 1.5 45310 2.470-74 50408 1.3 17784 0.9 32624 1.775-79 26494 0.7 8181 0.4 18313 1.080+ 21193 0.6 4532 0.2 16661 0.9Not Stated 30 0.0 17 0.0 13 0.0

TaeguTotal 2445288 100.0 1231609 100.0 1213679 100.0Under 1 year 35576 1.5 19287 1.6 16289 1.31-4 147336 6.0 81518 6.6 65818 5.45-9 167673 6.9 93394 7.6 74279 6.110-14 208435 8.5 110274 9.0 98161 8.115-19 225175 9.2 117345 9.5 107830 8.920-24 259636 10.6 129250 10.5 130386 10.725-29 237163 9.7 119033 9.7 118130 9.7

169

- ---------------------~-------------------------------------------





15-19 39874 10.4 19992 10.6 19882 10.220-24 31306 8.2 15029 8.0 162n 8.425-29 30503 8.0 14109 7.5 16394 8.430-34 31107 8.1 14812 7.9 16295 8.435-39 28524 7.5 13624 7.2 14900 7.640-44 25498 6.7 12468 6.6 13030 6.745-49 18258 4.8 9176 4.9 9082 4.750·54 17323 4.5 8811 4.7 8512 4.455-59 13314 3.5 6450 3.4 6864 3.560-64 10358 2.7 5053 2.7 5305 2.765-69 6669 1.7 3026 1.6 3643 1.970-74 5421 1.4 2321 1.2 3100 1.675·79 3536 0.9 1516 0.8 2020 1.080+ 3560 0.9 1348 0.7 2212 1.1GeorgetownTotal 219603 100.0 108760 100.0 110843 100.0Under 1 year 2917 1.3 1553 1.4 1364 1.21-4 12546 5.7 6479 6.0 6067 5.55-9 17345 7.9 8901 8.2 8444 7.610·14 19302 8.8 9801 9.0 9501 8.615-19 20793 9.5 10601 9.7 10192 9.220-24 20172 9.2 9691 8.9 10481 9.525-29 20594 9.4 10236 9.4 10358 9.330-34 19574 8.9 9934 9.1 9640 8.735-39 17825 8.1 8865 8.2 8960 8.1

40-44 16036 7.3 8040 7.4 7996 7.245-49 11141 5.1 5605 5.2 5536 5.0

50-54 10795 4.9 5330 4.9 5465 4.955-59 8574 3.9 4085 3.8 4489 4.0

60-64 7487 3.4 3360 3.1 4127 3.765-69 5376 2.4 2472 2.3 2904 2.670-74 41n 1.9 1812 1.7 2365 2.175-79 2573 1.2 1109 1.0 1464 1.3

80+ 2376 1.1 886 0.8 1490 1.3Majlis Perbandaran Johor BahruTotal 328436 100.0 169049 100.0 159387 100.0Under 1 year 7945 2.4 4089 2.4 3856 2.4

1-4 30766 9.4 15904 9.4 14862 9.3

5·9 35257 10.7 18161 10.7 17096 10.710·14 29688 9.0 14958 8.8 14730 9.215-19 31852 9.7 16300 9.6 15552 9.8

20-24 37320 11.4 19319 11.4 18001 11.325-29 36553 11.1 18894 11.2 17659 11.1

30-34 31675 9.6 16398 9.7 152n 9.635-39 24n6 7.5 12965 7.7 11811 7.440-44 19727 6.0 10267 6.1 9460 5.945-49 11620 3.5 6312 3.7 5308 3.350-54 9866 3.0 5293 3.1 4573 2.955·59 6893 2.1 3410 2.0 3483 2.2

60-64 5332 1.6 2569 1.5 2763 1.7

65-69 3563 1.1 1670 1.0 1893 1.270-74 2596 0.8 1188 0.7 1408 0.975·79 1524 0.5 698 0.4 826 0.5

80+ 1483 0.5 654 0.4 829 0.5

161




Number Percent Number Per cent Number PercentMalaysia· Sabah, 2000Kota KinabaluTotal 207442 100.0 105603 100.0 101839 100.0Under 1 year 6230 3.0 3165 3.0 3065 3.01-4 22902 11.0 11898 11.3 11004 10.85-9 24988 12.0 12n3 12.1 12215 12.010-14 21424 10.3 10854 10.3 10570 10.415-19 22152 10.7 10920 10.3 11232 11.020-24 23453 11.3 11053 10.5 12400 12.225-29 22565 10.9 11265 10.7 11300 11.130-34 19113 9.2 10007 9.5 9106 8.935-39 14110 6.8 75n 7.2 6533 6.440-44 9786 4.7 5384 5.1 4402 4.345-49 6041 2.9 3272 3.1 2769 2.750-54 4947 2.4 2686 2.5 2261 2.255-59 3171 1.5 1657 1.6 1514 1.560-64 2492 1.2 1211 1.1 1281 1.365-69 1483 0.7 690 0.7 793 0.870-74 1225 0.6 594 0.6 631 0.675-79 714 0.3 324 0.3 390 0.480+ 646 0.3 273 0.3 373 0.4

TawauTotal 243332 100.0 129122 100.0 114210 100.0Under 1 year 8103 3.3 4234 3.3 3869 3.41-4 28675 11.8 14879 11.5 13796 12.15-9 32241 13.2 16622 12.9 15619 13.710-14 25420 10.4 12950 10.0 12470 10.915-19 25298 10.4 12848 10.0 12450 10.920-24 29309 12.0 15658 12.1 13651 12.025-29 26714 11.0 14340 11.1 12374 10.830-34 21563 8.9 11811 9.1 9752 8.535-39 14944 6.1 8322 6.4 6622 5.840-44 9532 3.9 5428 4.2 4104 3.645-49 6992 2.9 3967 3.1 3025 2.650-54 5397 2.2 3128 2.4 2269 2.055-59 3295 1.4 1917 1.5 1378 1.260-64 2391 1.0 1281 1.0 1110 1.065-69 1302 0.5 718 0.6 584 0.570-74 1055 0.4 515 0.4 540 0.575-79 511 0.2 247 0.2 264 0.280+ 590 0.2 257 0.2 333 0.3

SandakanTotal 222402 100.0 113898 100.0 108504 100.0Under 1 year 7108 3.2 3734 3.3 3374 3.11-4 26989 12.1 13809 12.1 13180 12.15-9 30929 13.9 15926 14.0 15003 13.810-14 24358 11.0 12286 10.8 12072 11.115-19 22489 10.1 10799 9.5 11690 10.820-24 23331 10.5 11549 10.1 11782 10.925·29 22006 9.9 11188 9.8 10818 10.030-34 18437 8.3 9552 8.4 8885 8.235-39 13681 6.2 7250 6.4 6431 5.940-44 9435 4.2 5148 4.5 4287 4.045-49 6627 3.0 3686 3.2 2941 2.750-54 5870 2.6 3089 2.7 2781 2.655-59 3757 1.7 2092 1.8 1665 1.560-64 2878 1.3 1489 1.3 1389 1.3

162





65-69 1783 0.8 986 0.9 797 0.770-74 1323 0.6 676 0.6 647 0.675-79 662 0.3 331 0.3 331 0.3

80+ 739 0.3 308 0.3 431 0.4

KeningauTotal 88285 100.0 46962 100.0 41323 100.0Under 1 year 3106 3.5 1637 3.5 1469 3.61-4 11428 12.9 6009 12.8 5422 13.15-9 13065 14.8 6658 14.2 6408 15.510-14 9328 10.6 4758 10.1 4570 11.115-19 9112 10.3 4619 9.8 4493 10.920-24 9734 11.0 5031 10.7 4703 11.425-29 8967 10.2 4905 10.4 4062 9.830-34 7268 8.2 4238 9.0 3029 7.335-39 4685 5.3 2744 5.8 1941 4.7

40-44 2953 3.3 1679 3.6 1274 3.145-49 2381 2.7 1390 3.0 991 2.4

50-54 1972 2.2 1047 2.2 925 2.255-59 1543 1.7 765 1.6 778 1.960-64 1211 1.4 644 1.4 567 1.465-69 650 0.7 368 0.8 282 0.770-74 438 0.5 241 0.5 197 0.575-79 236 0.3 131 0.3 105 0.3

80+ 210 0.2 102 0.2 108 0.3Malaysia· Sarawak, 2000Bandaraya Kuching

Total 367914 100.0 183267 100.0 184647 100.0Under 1 year 8564 2.3 4389 2.4 4175 2.31-4 35712 9.7 18538 10.1 17174 9.3

5·9 42791 11.6 21935 12.0 20856 11.310-14 40161 10.9 20624 11.3 19537 10.615-19 41074 11.2 20200 11.0 20874 11.320·24 35945 9.8 17285 9.4 18660 10.125-29 33438 9.1 16190 8.8 17248 9.330-34 29645 8.1 14504 7.9 15141 8.235-39 25761 7.0 12683 6.9 13028 7.140-44 19307 5.2 9764 5.3 9543 5.245-49 14837 4.0 7650 4.2 7187 3.950-54 11308 3.1 5656 3.1 5652 3.155-59 8633 2.3 4147 2.3 4486 2.460-64 7470 2.0 3514 1.9 3956 2.165-69 4686 1.3 2194 1.2 2492 1.370-74 3952 1.1 1869 1.0 2083 1.175-79 2219 0.6 1035 0.6 1184 0.680+ 2411 0.7 1090 0.6 1321 0.7

Sibu

Total 169246 100.0 82972 100.0 86274 100.0Under 1 year 4262 2.5 2208 2.7 2054 2.41-4 16976 10.0 8871 10.7 8105 9.4

5·9 19998 11.8 10334 12.5 9664 11.210-14 19385 11.5 10036 12.1 9349 10.815-19 19323 11.4 9505 11.5 9818 11.420-24 16801 9.9 7726 9.3 9075 10.5

25·29 15131 8.9 7198 8.7 7933 9.2

30-34 13275 7.8 6328 7.6 6947 8.1

35-39 11206 6.6 5342 6.4 5864 6.8

40-44 8140 4.8 3946 4.8 4194 4.9

163




Number Percent Number Percent Number Percent45-49 6120 3.6 2981 3.6 3139 3.650-54 5229 3.1 2518 3.0 2711 3.155-59 3698 2.2 1701 2.1 1997 2.360-64 3086 1.8 1408 1.7 1678 1.965-69 2202 1.3 946 1.1 1256 1.570-74 2104 1.2 839 1.0 1265 1.575-79 1117 0.7 548 0.7 569 0.780+ 1193 0.7 537 0.6 656 0.8MiriTotal 160133 100.0 82786 100.0 n347 100.0Under 1 year 4189 2.6 2145 2.6 2044 2.61-4 16388 10.2 8417 10.2 7971 10.35-9 19036 11.9 98n 11.9 9159 11.810-14 16279 10.2 8281 10.0 7998 10.315-19 16n3 10.5 8394 10.1 8379 10.820-24 17428 10.9 8818 10.7 8610 11.125-29 16220 10.1 8326 10.1 7894 10.230-34 14346 9.0 7390 8.9 6956 9.035-39 11887 7.4 6468 7.8 5419 7.040-44 7931 5.0 4335 5.2 3596 4.645-49 5545 3.5 3088 3.7 2457 3.250-54 3975 2.5 2165 2.6 1810 2.355-59 3114 1.9 1603 1.9 1511 2.060-64 2388 1.5 1204 1.5 1184 1.565-69 1725 1.1 852 1.0 873 1.170-74 1322 0.8 644 0.8 678 0.975-79 796 0.5 389 0.5 407 0.580+ 791 0.5 390 0.5 401 0.5Pakistan, 1998ISLAMABAD

Total 529180 100.0 290717 100.0 238463 100.0Under 1 year 9832 1.9 5062 1.7 4nO 2.01-4 49300 9.3 25193 8.7 24107 10.15-9 65925 12.5 34128 11.7 31797 13.310-14 66272 12.5 34920 12.0 31352 13.115-19 58608 11.1 31903 11.0 26705 11.220-24 51049 9.6 28944 10.0 22105 9.325-29 44020 8.3 24413 8.4 19607 8.230-34 40569 7.7 22851 7.9 ln18 7.435-39 34463 6.5 19586 6.7 148n 6.240-44 30942 5.8 17556 6.0 13386 5.645-49 24191 4.6 14388 4.9 9803 4.150-54 19023 3.6 11328 3.9 7695 3.255-59 11974 2.3 7444 2.6 4530 1.960-64 92n 1.8 5304 1.8 3973 1.765-69 5508 1.0 3080 1.1 2428 1.070-74 4178 0.8 2334 0.8 1844 0.875+ 4049 0.8 2283 0.8 1766 0.7

Karachi

Total 9269265 100 4978253 100.0 4291012 100.0LahoreTotal 5063499 100 2660n2 100.0 2402727 100.0Faisalabad

Total 19n246 100 103n16 100.0 939530 100.0

164




Number Percent Number Percent Number Percent~- ------- ..._----- . -----_.__ ._------- ----~---"_.__._---_._--~~----_.,--

.~--------

Singapore. 1999Total 3217500 100.0 1613600 100.0 1603900 100.0Under 1 year 41800 1.3 21700 1.3 20100 1.31-4 191900 6.0 99300 6.2 92700 5.85-9 254500 7.9 131400 8.1 123100 7.710-14 229000 7.1 118300 7.3 110700 6.915-19 209100 6.5 108000 6.7 101100 6.320-24 215300 6.7 107200 6.6 108100 6.725-29 271000 8.4 131900 8.2 139100 8.730-34 291800 9.1 144400 8.9 147400 9.235-39 316500 9.8 160000 9.9 156500 9.84044 300800 9.3 153200 9.5 147600 9.245-49 248600 7.7 127000 7.9 121600 7.650-54 179600 5.6 90700 5.6 88900 5.555-59 128700 4.0 63900 4.0 64800 4.060-64 103700 3.2 50700 3.1 53000 3.365-69 83000 2.6 39700 2.5 43300 2.770-74 62600 1.9 28900 1.8 33700 2.175-79 40700 1.3 18200 1.1 22500 1.480+ 48800 1.5 19100 1.2 29700 1.9Sri Lanka. 1994COLOMBOTotal 2057354 100.0 1010707 100.0 1046647 100.0Under 1 year 28283 1.4 14521 1.4 13762 1.31-4 127210 6.2 61850 6.1 65360 6.25-9 155243 7.5 78208 7.7 n035 7.410-14 176884 8.6 88879 8.8 88005 8.415-19 190823 9.3 93775 9.3 97048 9.320-24 207304 10.1 99789 9.9 107515 10.325-29 195108 9.5 94682 9.4 100426 9.630-34 192709 9.4 96414 9.5 96295 9.235-39 163161 7.9 79843 7.9 83318 8.040-44 144123 7.0 73808 7.3 70315 6.745-49 128783 6.3 62302 6.2 66481 6.450-54 95604 4.6 49324 4.9 46280 4.455-59 69491 3.4 33460 3.3 36031 3.460-64 59245 2.9 27656 2.7 31589 3.065-69 50141 2.4 24116 2.4 26025 2.570-74 3n37 1.8 16529 1.6 21208 2.075-79 19821 1.0 9559 0.9 10262 1.080+ 15684 0.8 5992 0.6 9692 0.9GampahaTotal 1707688 100 838175 100 869513 100Under 1 year 27276 1.6 13222 1.6 14054 1.61-4 109001 6.4 57254 6.8 51747 6.05-9 139430 8.2 69904 8.3 69526 8.010-14 160709 9.4 80510 9.6 80199 9.215-19 161033 9.4 78049 9.3 82984 9.520·24 165348 9.7 79838 9.5 85510 9.825-29 151699 8.9 72039 8.6 79660 9.230·34 152n4 8.9 74132 8.8 78642 9.035-39 127294 7.5 63335 7.6 63959 7.440-44 113865 6.7 57694 6.9 56171 6.545-49 100921 5.9 49522 5.9 51399 5.950-54 74598 4.4 36062 4.3 38536 4.455-59 60255 3.5 28371 3.4 31884 3.760·64 51794 3.0 24146 2.9 27648 3.2

165





65-69 43947 2.6 21362 2.5 22585 2.670-74 33069 1.9 15645 1.9 17424 2.075-79 18372 1.1 8803 1.1 9569 1.1

80+ 16303 1.0 8287 1.0 8016 0.9KalutaraTotal 938346 100 464592 100 473754 100Under 1 year 13805 1.5 6843 1.5 6962 1.51-4 61216 6.5 31279 6.7 29937 6.35-9 83762 8.9 43725 9.4 40037 8.510-14 95386 10.2 4n45 10.3 47641 10.115-19 93253 9.9 47674 10.3 45579 9.620-24 83008 8.8 40453 8.7 42555 9.025-29 72492 7.7 36n3 7.9 35719 7.530-34 74610 8.0 38037 7.8 38573 8.135-39 67672 7.2 32424 7.0 35248 7.44Q-44 62750 6.7 31074 6.7 31676 6.745-49 54373 5.8 27254 5.9 27119 5.750-54 44091 4.7 20470 4.4 23621 5.055-59 35665 3.8 16338 3.5 19327 4.160-64 30342 3.2 14430 3.1 15912 3.465-69 25697 2.7 11694 2.5 14003 3.070-74 18996 2.0 9934 2.1 9062 1.975-79 11365 1.2 5615 1.2 5750 1.280+ 9863 1.1 4830 1.0 5033 1.1

Kandy

Total 1221019 100 593760 100 627259 100Under 1 year 18586 1.5 8886 1.5 9700 1.51-4 88108 7.2 44248 7.5 43860 7.05-9 119921 9.8 60140 10.1 59781 9.510-14 134299 11.0 67243 11.3 67056 10.715-19 117535 9.6 59640 10.0 57895 9.220-24 107902 8.8 50699 8.5 57203 9.125-29 97604 8.0 43788 7.4 53816 8.630-34 100120 8.2 47634 8.0 52486 8.435-39 92671 7.6 45572 7.7 47099 7.54Q-44 79975 6.5 36684 6.2 43291 6.945-49 685n 5.6 33945 5.7 34832 5.550-54 50780 4.2 23538 4.0 27242 4.355-59 44334 3.6 20033 3.4 24301 3.960-64 36944 3.0 18801 3.2 18143 2.965-69 27141 2.2 14811 2.5 12330 2.070-74 17522 1.4 8187 1.4 9335 1.575-79 9679 0.8 4986 0.8 4693 0.780+ 9321 0.8 4925 0.8 4396 0.7Syrien AnIb RepUblic, 1894DAMASCUSTotal 1394322 100.0 720338 100.0 673984 100.0Under 1 year 31938 2.3 16620 2.3 15318 2.31-4 135336 9.7 69711 9.7 65625 9.75-9 173351 12.4 88718 12.3 84633 12.610-14 172848 12.4 88733 12.3 84115 12.515-19 151652 10.9 n418 10.7 74234 11.020-24 140509 10.1 73339 10.2 67170 10.025-29 125304 9.0 65455 9.1 59849 8.930-34 105942 7.6 54960 7.6 50982 7.635-39 79871 5.7 40604 5.6 39267 5.84Q-44 83302 4.5 33395 4.6 29907 4.4

166




Number Percent Number Per cent Number Percent

45-49 52477 3.8 26830 3.7 25647 3.850-54 44071 3.2 22839 3.2 21232 3.255-59 36723 2.6 19473 2.7 17250 2.6

60-64 32709 2.3 17614 2.4 15095 2.265-69 20221 1.5 10719 1.5 9502 1.470·74 14323 1.0 7283 1.0 7040 1.075·79 5828 0.4 2961 0.4 2867 0.4

80+ 7126 0.5 3233 0.4 3893 0.6Not Stated 791 0.1 433 0.1 358 0.1

Thalland,1998BANGKOK

Total 5647799 100.0 2762252 100.0 2885547 100.0Under 1 year 53113 0.9 27635 1.0 25478 0.91-4 299599 5.3 154367 5.6 145232 5.05-9 387661 6.9 199074 7.2 188587 6.510-14 381189 6.7 194701 7.0 186488 6.515-19 437966 7.8 221234 8.0 216732 7.520-24 457434 8.1 227521 8.2 229913 8.025-29 467246 8.3 225417 8.2 241829 8.430-34 512264 9.1 242722 8.8 269542 9.335-39 512148 9.1 242235 8.8 269913 9.440-44 450892 8.0 213033 7.7 237859 8.245-49 362206 6.4 170128 6.2 192078 6.750-54 246222 4.4 116302 4.2 129920 4.555-59 194680 3.4 91342 3.3 103338 3.660-64 162485 2.9 74660 2.7 87825 3.0

65-69 111494 2.0 48205 1.7 63289 2.270-74 69034 1.2 27919 1.0 41115 1.475-79 38533 0.7 15378 0.6 23155 0.880+ 44429 0.8 16076 0.6 28353 1.0Not Stated 459204 8.1 254303 9.2 204901 7.1

SongkhlaTotal 1210921 100.0 598968 100.0 611953 100.0Under 1 year 19023 1.6 9827 1.6 9196 1.51-4 83141 6.9 42968 7.2 40173 6.65·9 102592 8.5 52729 8.8 49863 8.110-14 104255 8.6 53521 8.9 50734 8.315-19 111059 9.2 56486 9.4 54573 8.920·24 109342 9.0 54318 9.1 55024 9.025·29 108337 8.9 53680 9.0 54677 8.930·34 101422 8.4 49448 8.3 51974 8.535-39 93285 7.7 45284 7.6 48001 7.840-44 74243 6.1 35526 5.9 38717 6.345-49 61570 5.1 29704 5.0 31886 5.250·54 42608 3.5 20548 3.4 22060 3.655·59 38720 3.2 19040 3.2 19680 3.260-64 33899 2.8 16209 2.7 17690 2.965-69 26809 2.2 12519 2.1 14290 2.370-74 18079 1.5 8398 1.4 9681 1.675·79 11452 0.9 5003 0.8 6449 1.180+ 14376 1.2 5799 1.0 8577 1.4Not Stated 56709 4.7 27981 4.7 28728 4.7

Turkey, 1990

ANKARA

Total 3236626 100.0 1658276 100.0 1578350 100.0

Under 1 year 55040 1.7 27922 1.7 27118 1.71-4 236408 7.3 121047 7.3 115361 7.3

167




Number Percent Number Percent Number Percent5-9 334954 10.3 171254 10.3 163700 10.410-14 349305 10.8 181060 10.9 168245 10.715-19 362960 11.2 192144 11.6 170816 10.820-24 359569 11.1 194530 11.7 165039 10.525-29 323187 10.0 164931 9.9 158256 10.030-34 270246 8.3 139503 8.4 130743 8.335-39 221791 6.9 113625 6.9 108166 6.940-44 175052 5.4 89025 5.4 86027 5.545-49 132390 4.1 66954 4.0 65436 4.150-54 112724 3.5 54274 3.3 58450 3.755-59 102997 3.2 52082 3.1 50915 3.260-64 82850 2.6 38589 2.3 44261 2.865-69 49899 1.5 23008 1.4 26891 1.770-74 26842 0.8 11639 0.7 15203 1.075-79 20861 0.6 9248 0.6 11613 0.780+ 18010 0.6 6517 0.4 11493 0.7Not Stated 1541 0.0 924 0.1 617 0.0

IstanbulTotal 7309190 100.0 3798761 100.0 3510429 100.0Under 1 year 133357 1.8 68558 1.8 64799 1.81-4 510746 7.0 261722 6.9 249024 7.15-9 747087 10.2 382531 10.1 364556 10.410-14 779292 10.7 409863 10.8 369429 10.515-19 821120 11.2 462740 12.2 358380 10.220-24 721726 9.9 367557 9.7 354169 10.125-29 756068 10.3 400648 10.5 355420 10.130-34 642341 8.8 340443 9.0 301898 8.635·39 523860 7.2 274415 7.2 249445 7.140-44 409499 5.6 216384 5.7 193115 5.545-49 305166 4.2 160146 4.2 145020 4.150-54 252165 3.4 125705 3.3 126460 3.655-59 231714 3.2 118352 3.1 113362 3.260-64 188980 2.6 87318 2.3 101662 2.965-69 118485 1.6 54142 1.4 64343 1.870-74 62603 0.9 26768 0.7 35835 1.075-79 50102 0.7 20649 0.5 29453 0.880+ 47447 0.6 16474 0.4 30973 0.9Not Stated 7432 0.1 4346 0.1 3086 0.1

IzmirTotal 2694770 100.0 1379778 100.0 1314992 100.0Under 1 year 44847 1.7 22887 1.7 21960 1.71-4 174843 6.5 89593 6.5 85280 6.55-9 257765 9.6 131654 9.5 126111 9.610-14 279913 10.4 143988 10.4 135925 10.315-19 277209 10.3 147156 10.7 130053 9.920-24 257538 9.6 137727 10.0 119811 9.125·29 246786 9.2 126675 9.2 120111 9.130-34 223419 8.3 115692 8.4 107727 8.235-39 199171 7.4 102717 7.4 96454 7.340-44 160242 5.9 83081 6.0 77161 5.945-49 125586 4.7 64922 4.7 60664 4.650-54 112444 4.2 56210 4.1 56234 4.355-59 104533 3.9 52684 3.8 51849 3.960-64 91638 3.4 43578 3.2 48060 3.765-69 58488 2.2 28154 2.0 30334 2.370-74 29704 1.1 12987 0.9 16717 1.375-79 25573 0.9 11011 0.8 14562 1.1

168


(See notes at end of teble.)



80+ 22921 0.9 7871 0.6 15050 1.1

Not Steted 2120 0.1 1191 0.1 929 0.1

AdanaTotel 1934907 100.0 973878 100.0 961029 100.0

Under 1 year 39550 2.0 20188 2.1 19362 2.0

1-4 181022 9.4 92801 9.5 88221 9.2

5-9 261655 13.5 134096 13.8 127559 13.3

10-14 260749 13.5 134954 13.9 125795 13.1

15-19 227182 11.7 115073 11.8 112109 11.7

20-24 162162 8.4 73077 7.5 89085 9.3

25-29 166667 8.6 83246 8.5 83421 8.7

30-34 141020 7.3 72700 7.5 68320 7.1

35-39 122323 6.3 62979 6.5 59344 6.2

40-44 92192 4.8 47873 4.9 44319 4.6

45-49 67017 3.5 34366 3.5 32651 3.4

50-54 58414 3.0 28433 2.9 29981 3.1

55·59 52072 2.7 27189 2.8 24883 2.6

60-64 42882 2.2 20369 2.1 22513 2.3

65-69 24473 1.3 11208 1.2 13265 1.4

70-74 13734 0.7 5875 0.6 7859 0.8

75·79 9666 0.5 4415 0.5 5251 0.5

80+ 10251 0.5 3933 0.4 6318 0.7

NotSteted 1876 0.1 1103 0.1 773 0.1

EUROPEAustria, 1991WIEN

Total 1539848 100.0 714525 100.0 825323 100.0Under 1 year 16034 1.0 8228 1.2 7806 0.91-4 60983 4.0 31538 4.4 29445 3.65-9 70908 4.6 36574 5.1 34334 4.2

10-14 66192 4.3 34289 4.8 31903 3.915-19 79225 5.1 40166 5.6 39059 4.720-24 126327 8.2 62313 8.7 64014 7.825-29 142974 9.3 72289 10.1 70685 8.6

30·34 123943 8.0 62655 8.8 61288 7.435·39 104020 6.8 51290 7.2 52730 6.44Q.44 114128 7.4 56236 7.9 57892 7.045-49 114801 7.5 56240 7.9 58561 7.150-54 100153 6.5 48941 6.8 51212 6.255-59 68297 4.4 32213 4.5 36084 4.460-64 77036 5.0 33819 4.7 43217 5.265-69 84237 5.5 30831 4.3 53406 6.570·74 55302 3.6 19021 2.7 36281 4.475-79 57947 3.8 18050 2.5 39897 4.880+ 77341 5.0 19832 2.8 57509 7.0GrazTotel 237810 100.0 110568 100.0 127242 100.0Under 1 year 2461 1.0 1284 1.2 1177 0.91-4 9091 3.8 4668 4.2 4423 3.55-9 10683 4.5 5517 5.0 5166 4.110-14 10399 4.4 5329 4.8 5070 4.015-19 12955 5.4 6510 5.9 6445 5.120-24 21855 9.2 11080 10.0 10775 8.525-29 23263 9.8 12123 11.0 11140 8.830-34 19258 8.1 9642 8.7 9616 7.635-39 15761 6.6 7584 6.9 8177 6.440-44 16067 6.8 7671 6.9 8396 6.6

169





45-49 16950 7.1 8053 7.3 8897 7.050-54 14922 6.3 7295 6.6 7627 6.055-59 10303 4.3 4838 4.4 5465 4.3

60-64 11847 5.0 5184 4.7 6663 5.265-69 13320 5.6 4768 4.3 8552 6.770-74 9352 3.9 3197 2.9 6155 4.875-79 8938 3.8 2978 2.7 5960 4.7

80+ 10385 4.4 2847 2.6 7538 5.9linzTotal 203044 100.0 97043 100.0 106001 100.0Under 1 year 1850 0.9 886 0.9 964 0.91-4 7834 3.9 4101 4.2 3733 3.55-9 9070 4.5 4636 4.8 4434 4.210-14 8069 4.0 4178 4.3 3891 3.715-19 10357 5.1 5195 5.4 5162 4.920-24 17995 8.9 8778 9.0 9217 8.725-29 20895 10.3 10712 11.0 10183 9.630-34 17648 8.7 9181 9.5 8467 8.035-39 14335 7.1 7470 7.7 6865 6.540-44 14404 7.1 7452 7.7 6952 6.645-49 13586 6.7 6923 7.1 6663 6.350-54 13018 6.4 6442 6.6 6576 6.255-59 9777 4.8 4773 4.9 5004 4.760·64 10627 5.2 4807 5.0 5820 5.565-69 11609 5.7 4294 4.4 7315 6.970-74 7805 3.8 2746 2.8 5059 4.875-79 6679 3.3 2307 2.4 4372 4.180+ 7486 3.7 2162 2.2 5324 5.0Salzburg

Total 143978 100.0 66117 100.0 77861 100.0Under 1 year 1431 1.0 729 1.1 702 0.91-4 5509 3.8 2804 4.2 2705 3.55-9 6684 4.6 3494 5.3 3190 4.110-14 6640 4.6 3450 5.2 3190 4.115-19 8202 5.7 4116 6.2 4086 5.220-24 12684 8.8 5964 9.0 6720 8.625-29 13460 9.3 6481 9.8 6979 9.030-34 11389 7.9 5491 8.3 5898 7.635-39 10014 7.0 4751 7.2 5263 6.840-44 11095 7.7 5290 8.0 5805 7.545-49 10670 7.4 5186 7.8 5484 7.050-54 9481 6.6 4576 6.9 4905 6.355-59 6452 4.5 2971 4.5 3481 4.560-64 6726 4.7 2923 4.4 3803 4.965-69 7363 5.1 2592 3.9 4771 6.170-74 5345 3.7 1905 2.9 3440 4.475-79 5010 3.5 1718 2.6 3292 4.280+ 5823 4.0 1676 2.5 4147 5.3Belaru8.1999MINSKTotal 1677137 100.0 787007 100.0 890130 100.0Under 1 year 13155 0.8 6765 0.9 6390 0.71-4 56264 3.4 28939 3.7 27325 3.15-9 100632 6.0 51975 6.6 48657 5.510-14 134833 8.0 69048 8.8 65785 7.415-19 160657 9.6 83096 10.6 77561 8.720-24 146303 8.7 74718 9.5 71585 8.0

170

---~---------------------




Number Per cent Number Percent Number Percent25-29 122049 7.3 59700 7.6 62349 7.030-34 119046 7.1 57206 7.3 61840 6.9

35-39 150072 8.9 69693 8.9 80379 9.040-44 149721 8.9 67934 8.6 81787 9.245-49 131081 7.8 58459 7.4 72622 8.250-54 93337 5.6 42379 5.4 50958 5.755-59 74234 4.4 33491 4.3 40743 4.660-64 81422 4.9 34016 4.3 47406 5.365-69 56869 3.4 22223 2.8 34646 3.970-74 45068 2.7 15900 2.0 29168 3.375-79 22962 1.4 6540 0.8 16422 1.8

80+ 19431 1.2 4925 0.6 14506 1.6

Not Stated 1 0.0 1 0.0

GomelTotal 475486 100.0 217764 100.0 25n22 100.0Under 1 year 3958 0.8 2086 1.0 1872 0.71-4 16645 3.5 8505 3.9 8140 3.25-9 29016 6.1 14949 6.9 14067 5.510-14 38565 8.1 19722 9.1 18843 7.315-19 44681 9.4 21355 9.8 23326 9.120-24 38849 8.2 18452 8.5 20397 7.925-29 34631 7.3 16514 7.6 18117 7.030-34 34894 7.3 16214 7.4 18680 7.235-39 42869 9.0 19784 9.1 23085 9.040-44 43085 9.1 19504 9.0 23581 9.1

45-49 35958 7.6 16346 7.5 19612 7.650-54 23574 5.0 10839 5.0 12735 4.955-59 20906 4.4 9073 4.2 11833 4.660-64 22501 4.7 9295 4.3 13206 5.1

65-69 15n4 3.3 5953 2.7 9821 3.870-74 15107 3.2 5235 2.4 9872 3.875-79 n42 1.6 2201 1.0 5541 2.180+ 6388 1.3 1506 0.7 4882 1.9Not Stated 343 0.1 231 0.1 112 0.0

VitebskTotal 340710 100.0 154596 100.0 186114 100.0Under 1 year 2825 0.8 1451 0.9 1374 0.71-4 11618 3.4 6081 3.9 5537 3.05-9 20635 6.1 10627 6.9 10008 5.410-14 26015 7.6 13355 8.6 12660 6.815-19 30710 9.0 14888 9.6 15822 8.520-24 27324 8.0 12524 8.1 14800 8.025·29 25094 7.4 11720 7.6 13374 7.230-34 25091 7.4 11683 7.6 13408 7.235-39 30181 8.9 13943 9.0 16238 8.740·44 28818 8.5 13275 8.6 15543 8.445-49 25607 7.5 11432 7.4 14175 7.650-54 17500 5.1 8113 5.2 9387 5.055-59 14556 4.3 6316 4.1 8240 4.460-64 18259 5.4 7425 4.8 10834 5.865-69 13366 3.9 5017 3.3 8349 4.570-74 11685 3.4 4018 2.6 7667 4.175-79 6088 1.8 1603 4.0 4485 2.480+ 5221 1.5 1074 0.7 4147 2.2Not Stated 117 0.0 51 0.0 66 0.0

171

------------------------------------------




Number Percent Number Percent Number PercentMogilevTotal 356457 100.0 166843 100.0 189614 100.0Under 1 year 3075 0.9 1574 0.9 1501 0.81-4 12573 3.5 6466 3.9 6107 3.25-9 21831 6.1 11156 6.7 10675 5.610-14 29175 8.2 14748 8.8 14427 7.615-19 33833 9.5 16143 9.7 17690 9.320-24 30868 8.7 15504 9.3 15364 8.125-29 26902 7.5 13386 8.0 13516 7.130-34 25709 7.2 12382 7.4 13327 7.035-39 31075 8.7 14944 9.0 16131 8.540-44 31639 8.9 14605 8.8 17034 9.045-49 27992 7.9 12915 7.7 150n 8.050-54 17462 4.9 8129 4.9 9333 4.955-59 14916 4.2 6747 4.0 8169 4.360-64 17026 4.8 7218 4.3 9808 5.265-69 11745 3.3 4536 2.7 7209 3.870-74 10398 2.9 3717 2.2 6681 3.575-79 5330 1.5 1449 0.9 3881 2.080+ 4487 1.3 1024 0.6 3463 1.8Not Stated 421 0.1 200 0.1 221 0.1

Belgium, 1999BRUXELLES

Total 954045 100.0 449550 100.0 504495 100.0Under 1 year 12758 1.3 6497 1.4 6261 1.21-4 46796 4.9 24008 5.3 22788 4.55-9 53764 5.6 27630 6.1 26134 5.210-14 53071 5.6 26894 6.0 261n 5.215-19 54389 5.7 27564 6.1 26825 5.320-24 68980 7.2 34202 7.6 34n8 6.925-29 82144 8.6 40953 9.1 41191 8.230-34 75n3 7.9 3n97 8.4 37976 7.535-39 680n 7.1 33885 7.5 34192 6.840-44 64083 6.7 31612 7.0 32471 6.445-49 52772 5.5 25705 5.7 27067 5.450-54 50327 5.3 24511 5.5 25816 5.155-59 51924 5.4 24844 5.5 27080 5.460-64 52350 5.5 23762 5.3 28588 5.765-69 52284 5.5 22285 5.0 29999 5.970-74 35169 3.7 13744 3.1 21425 4.275-79 34711 3.6 11946 2.7 22765 4.580+ 44873 4.7 11711 2.6 32962 6.5

AntwerpenTotal 467518 100.0 215681 100.0 242141 100.0Under 1 year 5838 1.2 2925 1.4 2913 1.21-4 20841 4.5 1066 0.5 10176 4.25-9 24690 5.3 12625 5.9 12065 5.010-14 23753 5.1 12073 5.6 11680 4.815-19 24071 5.1 12153 5.6 11918

I4.9

20-24 32330 6.9 16325 7.6 16005 6.625-29 38043 8.1 19581 9.1 18462 7.630-34 35335 7.6 18275 8-5 17060 7.035-39 32112 6.9 16507 7.7 15605 6.440-44 30041 6.4 15275 7.1 14769 6.145-49 27096 5.8 13732 6.4 13364 5.550-54 26942 5.8 13419 6.2 13523 5.655-59 28898 6.2 14026 6.5 14872 6.160-64 29274 6.3 13806 6.4 15468 6.4

172




Number Percent Number Percent Number Per cent65-69 28357 6.1 12613 5.8 15744 6.570-74 19462 4.2 8096 3.8 11366 4.775-79 18920 4.0 7030 3.3 11890 4.980+ 21515 4.6 6154 2.9 15261 6.3GentTotal 230219 100.0 110959 100.0 119189 100.0Under 1 year 2897 1.3 1419 1.3 1407 1.21-4 10132 4.4 5254 4.7 4878 4.15-9 11628 5.1 5928 5.3 5700 4.810-14 12065 5.2 6098 5.5 5967 5.015-19 12848 5.6 6551 5.9 6297 5.320-24 17052 7.4 8452 7.6 8600 7.225-29 20719 9.0 10593 9.5 10126 8.530-34 18590 8.1 9624 8.7 8966 7.535-39 16117 7.0 8254 7.4 7863 6.640-44 15270 6.6 7856 7.1 7414 6.245-49 12939 5.6 6421 5.8 6518 5.550-54 12993 5.6 6445 5.8 6548 5.555-59 13595 5.9 6474 5.8 7121 6.060-64 13098 5.7 6076 5.5 7022 5.965-69 13059 5.7 5801 5.2 7258 6.170-74 8654 3.8 3549 3.2 5105 4.375-79 8464 3.7 3125 2.8 5339 4.580+ 10099 4.4 3039 2.7 7060 5.9CharleroiTotal 206214 100.0 98305 100.0 107909 100.0Under 1 year 2580 1.3 1307 1.3 1273 1.21-4 10035 4.9 5146 5.2 4889 4.55-9 11431 5.5 5890 6.0 5541 5.110-14 11853 5.7 6023 6.1 5830 5.415-19 13795 6.7 7026 7.1 6769 6.320-24 15204 7.4 7620 7.8 7584 7.025-29 15874 7.7 8010 8.1 7864 7.330-34 15555 7.5 7865 8.0 7690 7.135-39 14825 7.2 7430 7.6 7395 6.940-44 15094 7.3 7608 7.7 7486 6.945-49 10442 5.1 5222 5.3 5220 4.850-54 10730 5.2 5228 5.3 5502 5.155-59 11674 5.7 5562 5.7 6112 5.760-64 12904 6.3 6014 6.1 6890 6.465-69 12473 6.0 5339 5.4 7134 6.670-74 7373 3.6 2910 3.0 4463 4.175-79 6551 3.2 2251 2.3 4300 4.080+ 7821 3.8 1854 1.9 5967 5.5BUlgaria. 1998SOFIATotal 1122302 100.0 532449 100.0 589853 100.0Under 1 year 8766 0.8 4593 0.9 4173 0.71-4 35175 3.1 18223 3.4 16952 2.95-9 53142 4.7 27190 5.1 25952 4.410-14 63757 5.7 32730 6.1 31027 5.315-19 73644 6.6 36902 6.9 36742 6.220-24 104655 9.3 50918 9.6 53737 9.125-29 100374 8.9 49495 9.3 50879 8.630-34 75706 6.7 37867 7.1 37839 6.435-39 74354 6.6 35875 6.7 38479 6.540-44 82089 7.3 38303 7.2 43786 7.4

173

--~_._--------------------------------------------





45-49 91211 8.1 42026 7.9 49185 8.350-54 80599 7.2 37252 7.0 43347 7.355-59 60935 5.4 28539 5.4 32396 5.560-64 56785 5.1 25267 4.7 31518 5.365-69 55653 5.0 23859 4.5 31794 5.470-74 51835 4.6 22119 4.2 29716 5.075-79 34245 3.1 14151 2.7 20094 3.480+ 193n 1.7 7140 1.3 12237 2.1PlovdivTotal 342584 100.0 163281 100.0 179303 100.0Under 1 year 3067 0.9 1598 1.0 1469 0.81-4 11707 3.4 5990 3.7 5717 3.25-9 17087 5.0 8909 5.5 8178 4.610-14 21207 6.2 10885 6.7 10322 5.815-19 26024 7.6 13152 8.1 12872 7.220-24 32801 9.6 15702 9.6 17099 9.525-29 28380 8.3 13678 8.4 14702 8.230-34 23214 6.8 11349 7.0 11865 6.635-39 24948 7.3 11950 7.3 12998 7.240-44 26076 7.6 12255 7.5 13821 7.745-49 26618 7.8 12384 7.6 14234 7.950-54 23994 7.0 11271 6.9 12723 7.155-59 18804 5.5 8702 5..3 10102 5.660-64 17554 5.1 7865 4.8 9689 5.465-69 16311 4.8 7462 4.6 8849 4.970-74 13071 3.8 5715 3.5 7356 4.175·79 7932 2.3 3129 1.9 4803 2.780+ 3789 1.1 1285 0.8 2504 1.4VamaTotal 299801 100.0 146201 100.0 153600 100.0Under 1 year 2828 0.9 1398 1.0 1430 0.91-4 10535 3.5 5549 3.8 4986 3.25·9 15025 5.0 7n2 5.3 7253 4.710-14 18724 6.2 9572 6.5 9152 6.015·19 21546 7.2 10963 7.5 10583 6.920-24 28180 9.4 14298 9.8 13882 9.025-29 24305 8.1 12278 8.4 12027 7.830·34 20094 6.7 10201 7.0 9893 6.435·39 20973 7.0 10160 6.9 10813 7.040-44 23163 7.7 10957 7.5 12206 7.945-49 24794 8.3 11692 8.0 13102 8.550-54 23323 7.8 11155 7.6 12168 7.955-59 17542 5.9 8486 5.8 9056 5.960-64 15505 5.2 7231 4.9 8274 5.465-69 14102 4.7 6474 4.4 7628 5.070-74 10583 3.5 4687 3.2 5896 3.875-79 6248 2.1 2557 1.7 3691 2.480+ 2331 0.8 nl 0.5 1560 1.0BurgesTotal 195255 100.0 95209 100.0 100046 100.0Under 1 year 1699 0.9 870 0.9 829 0.81-4 6nl 3.5 3475 3.6 3296 3.35·9 10213 5.2 5096 5.4 5117 5.110-14 12849 6.6 6546 6.9 6303 6.315-19 15012 7.7 7642 8.0 7370 7.420-24 17991 9.2 9086 9.5 8905 8.925-29 15308 7.8 7597 8.0 nll 7.7

174




Number Per cent Number Percent Number Percent

30-34 12957 6.6 6485 6.8 6472 6.535·39 14350 7.3 6927 7.3 7423 7.44Q-44 15826 8.1 7558 7.9 8268 8.345-49 16850 8.6 8226 8.6 8624 8.650-54 14597 7.5 7178 7.5 7419 7.455·59 10627 5.4 5122 5.4 5505 5.56Q-64 10273 5.3 4851 5.1 5422 5.465-69 8727 4.5 4087 4.3 4640 4.670·74 6758 3.5 2843 3.0 3915 3.975·79 3627 1.9 1416 1.5 2211 2.280+ 820 0.4 204 0.2 616 0.6CroatI8.1991ZAGREB'Total 706nO 331545 3752250-4 36972 5.2 19103 5.8 17869 4.85-9 43745 6.2 22555 6.8 21190 5.610-14 47177 6.7 23987 7.2 23190 6.215-19 44349 6.3 22531 6.8 21818 5.820-24 45468 6.4 22182 6.7 23286 6.225-29 50074 7.1 23600 7.1 26474 7.130-34 48903 7.8 25466 7.7 29437 6.235-39 59566 8.4 28313 8.5 31253 8.340-44 56371 8.0 26695 8.1 29676 7.945-49 46623 6.6 21785 6.6 24838 6.650-54 46900 6.6 23186 7.0 23714 6.355·59 43998 6.2 21224 6.4 22n4 6.160-64 39229 5.6 17302 5.2 21927 5.865-69 32815 4.6 12566 3.8 20249 5.470-74 18258 2.6 6691 2.0 11567 3.175+ 30413 4.3 9704 2.9 20709 5.5Split'Total 189388 92122 972660-4 10851 5.7 5445 5.9 5406 5.65-9 12565 6.6 6460 7.0 6105 6.310-14 14073 7.4 7199 7.8 6874 7.115·19 14259 7.5 7208 7.8 7051 7.220-24 13675 7.2 6849 7.4 6826 7.025·29 13684 7.2 6n5 7.4 6909 7.130-34 15031 7.9 7291 7.9 n40 8.035-39 15678 8.3 7512 8.2 8166 8.440-44 15943 8.4 7601 8.3 8342 8.645-49 10288 5.4 4978 5.4 5310 5.550-54 12269 6.5 6168 6.7 6101 6.355·59 11467 6.1 5683 6.2 5784 5.96Q-64 9666 5.2 4681 5.1 5185 5.365-69 7251 3.8 3154 3.4 4097 4.270-74 3780 2.0 1591 1.7 2189 2.375+ 6454 3.4 2391 2.6 4063 4.2Rijeka'Total 167964 82040 859240-4 8528 5.1 4311 5.3 4217 4.9

5-9 10256 6.1 5244 6.4 5012 5.810-14 11695 7.0 6065 7.4 5630 6.615-19 11262 6.7 5702 7.0 5560 6.520-24 10814 6.4 5389 6.6 5425 6.325-29 11850 7.1 5895 7.2 5955 6.930-34 13659 8.1 6679 8.1 6880 8.0

176




Number Percent Number Percent Number Percent---~---_._---------------

35-39 14672 8.7 7306 8.9 7366 8.640-44 14132 8.4 7014 8.5 7118 8.345-49 9610 5.7 4701 5.7 4909 5.750-54 11595 6.9 5744 7.0 5851 6.855-59 11588 6.9 5984 7.3 5604 6.560-64 9403 5.6 4327 5.3 5076 5.965-69 7270 4.3 2989 3.6 4281 5.0'70-74 3464 2.1 1431 1.7 2033 2.475+ 6149 3.7 2202 2.7 3947 4.6

Osijek4

Total 104761 48945 558160-4 5632 5.4 2933 6.0 2699 4.85-9 6489 6.2 3304 6.8 3185 5.710-14 7121 6.8 3633 7.4 3488 6.215-19 6796 6.5 3449 7.0 3347 6.020-24 6777 6.5 3327 6.8 3450 6.225-29 7743 7.4 3754 7.7 3989 7.130-34 8173 7.8 3878 7.9 4295 7.735-39 9038 8.6 4330 8.8 4708 8.440-44 8161 7.8 3826 7.8 4335 7.845-49 6478 6.2 2983 6.1 3495 6.350-54 7116 6.8 3389 6.9 3727 6.755-59 6959 6.6 3267 6.7 3692 6.660-64 6374 6.1 2743 5.6 3631 6.565-69 4875 4.7 1748 3.6 3127 5.670-74 2382 2.3 834 1.7 1548 2.875+ 3456 3.3 1019 2.1 2437 4.4Czech Republlc,1998PRAHATotal 1193270 100.0 564396 100.0 628874 100.0Under 1 year 8961 0.8 4666 0.8 4295 0.71-4 36401 3.1 18609 3.3 17792 2.85-9 59789 5.0 30555 5.4 29234 4.610·14 65336 5.5 33659 6.0 31677 5.015-19 75816 6.4 38677 6.9 37139 5.920-24 99328 8.3 50144 8.9 49184 7.825·29 84927 7.1 42080 7.5 42847 6.830-34 80331 6.7 39274 7.0 41057 6.535-39 72680 6.1 35613 6.3 37067 5.940-44 84765 7.1 40722 7.2 44043 7.045-49 98819 8.3 47419 8.4 51400 8.250·54 104926 8.8 49722 8.8 55204 8.855·59 73281 6.1 35128 6.2 38153 6.160-64 52879 4.4 24016 4.3 28863 4.665-69 59135 5.0 25323 4.5 33467 5.370-74 56308 4.7 22841 4.0 33812 5.475·79 43941 3.7 15787 2.8 28154 4.580+ 35647 3.0 10161 1.8 25468 4.0Bmo

Total 384727 100.0 128121 100.0 202606 100.0Under 1 year 2973 0.8 1492 1.2 1481 0.71-4 12319 3.2 6207 4.8 6112 3.05-9 20965 5.4 10654 8.3 10311 5.110-14 22945 6.0 11765 9.2 11180 5.515-19 26017 6.8 13289 10.4 12728 6.320-24 32323 8.4 16371 12.8 15952 7.925-29 26751 7.0 13348 10.4 13403 6.6

176

-------------------------------------------




Number Percent Number Percent Number Percent30-34 26187 6.8 13033 10.2 13154 6.535-39 24562 6.4 12072 9.4 12490 6.240-44 28300 7.4 13757 10.7 14543 7.245-49 29865 7.8 14268 11.1 15597 7.7SO-54 30471 7.9 14114 11.0 16357 8.155·59 24075 6.3 11407 8.9 12668 6.360-64 17664 4.6 7957 6.2 9707 4.865-69 18348 4.8 n41 6.0 10607 5.270-74 17267 4.5 6906 5.4 10361 5.175-79 13341 3.5 4792 3.7 8549 4.280+ 10354 2.7 2948 2.3 7406 3.7OslravaTotal 322111 100.0 155886 100.0 168225 100.0Under 1 year 2759 0.9 13SO 0.9 1409 0.81-4 12058 3.7 6242 4.0 5816 3.55-9 19893 6.2 10170 6.5 9723 5.810-14 20768 6.4 10658 6.8 10110 6.115-19 21948 6.8 11126 7.1 10822 6.520-24 27474 8.5 13984 9.0 13490 8.125-29 25176 7.8 12761 8.2 12415 7.530-34 23765 7.4 12203 7.8 11562 7.035-39 21767 6.8 11264 7.2 10503 6.340-44 23499 7.3 11574 7.4 11925 7.245-49 24915 7.7 12168 7.8 12747 7.7SO·54 23915 7.4 11478 7.4 12437 7.555·59 20068 6.2 9594 6.2 10474 6.360-64 14039 4.4 6669 4.3 7370 4.465-69 13335 4.1 5630 3.6 n05 4.670·74 11571 3.6 4395 2.8 7176 4.375-79 8818 2.7 2975 1.9 5843 3.580+ 6343 2.0 1645 1.1 4698 2.8PlzenTotal 166422 100.0 81018 100.0 87404 100.0Under 1 year 1323 0.8 660 0.8 663 0.81-4 5365 3.2 2718 3.4 2647 3.05·9 8793 5.2 4456 5.5 4337 5.010·14 9740 5.8 49n 6.1 4763 5.415-19 11481 6.8 5876 7.3 5605 6.420·24 14716 8.7 7462 9.2 7254 8.325·29 12094 7.2 6153 7.6 5941 6.830-34 11024 6.5 5637 7.0 5387 6.235-39 10378 6.2 S013 6.2 5385 6.140-44 12614 7.5 6149 7.6 6465 7.445-49 13443 8.0 6560 8.1 6883 7.9SO-54 13875 8.2 6480 8.0 7395 8.555·59 10838 6.4 5319 6.6 5519 6.360-64 8262 4.9 3825 4.7 4437 5.165-69 8589 5.1 3785 4.7 4804 5.570-74 7195 4.3 3093 3.8 4102 4.775·79 4961 2.9 1758 2.2 3203 3.780+ 3731 2.2 1097 1.4 2634 3.0Estonls,1999TALLINNTotal 411594 100.0 188565 100.0 223029 100.0Under 1 year 3087 0.8 1599 0.8 1488 0.71-4 12595 3.1 6468 3.4 6127 2.75-9 22445 5.5 11498 6.1 10947 4.9

177




Number Percent Number Per cent Number Percent10-14 29468 7.2 15034 8.0 14434 6.515-19 28233 6.9 14429 7.7 13804 6.220-24 28484 6.9 14420 7.6 14064 6.325-29 30784 7.5 16500 8.8 14284 6.430-34 28349 6.9 14555 7.7 13794 6.235-39 31009 7.5 14767 7.8 16242 7.340-44 32162 7.8 14655 7.8 17507 7.845-49 30954 7.5 13n6 7.3 17178 7.750-54 26184 6.4 11387 6.0 14797 6.655-59 25347 6.2 10668 5.7 14679 6.660-64 24894 6.0 10116 5.4 14n8 6.665-69 20325 4.9 n61 4.1 . 12564 5.670-74 17555 4.3 5900 3.1 11655 5.275-79 9944 2.4 2687 1.4 7257 3.380+ 9n5 2.4 2345 1.2 7430 3.3TartuTotal l005n 100.0 45888 100.0 54689 100.0Under 1 year 1011 1.0 508 1.1 503 0.91-4 4111 4.1 2046 4.5 2065 3.85-9 6814 6.8 3609 7.9 3205 5.910-14 6906 6.9 3546 7.7 3360 6.115-19 6853 6.8 3373 7.4 3480 6.420-24 8039 8.0 3742 8.2 4297 7.925-29 9027 9.0 4691 10.2 4336 7.930-34 7650 7.6 3970 8.7 3680 6.735-39 6n2 6.7 3185 6.9 3587 6.640-44 6451 6.4 2940 6.4 3511 6.445-49 5906 5.9 2649 5.8 3257 6.050-54 5279 5.2 2259 4.9 3020 5.555-59 5787 5.8 2419 5.3 3368 6.260-64 5295 5.3 2125 4.6 3170 5.865-69 4989 5.0 1951 4.3 3038 5.670-74 4278 4.3 1421 3.1 2857 5.275-79 2593 2.6 769 1.7 1824 3.380+ 2816 2.8 685 1.5 2131 3.9NarvaTotal 73831 100.0 33048 100.0 40783 100.0Under 1 year 543 0.7 288 0.9 255 0.61-4 2227 3.0 1182 3.6 1045 2.65-9 4036 5.5 2055 6.2 1981 4.910-14 5911 8.0 3010 9.1 2901 7.115·19 5622 7.6 2nl 8.4 2851 7.020·24 4992 6.8 2512 7.6 2480 6.125·29 5035 6.8 2348 7.1 2687 6.630-34 4754 6.4 2239 6.8 2515 6.235-39 5886 8.0 2726 8.2 3160 7.740-44 6140 8.3 2853 8.6 3287 8.145-49 6008 8.1 2655 8.0 3353 8.250-54 4186 5.7 1793 5.3 2393 5.955-59 3988 5.4 1635 4.9 2353 5.860-64 4895 6.6 1930 5.8 2965 7.365-69 4163 5.6 1474 4.5 2689 6.670-74 3052 4.1 1034 3.1 2018 4.975-79 1338 1.8 354 1.1 984 2.480+ 1055 1.4 189 0.6 866 2.1

178




Number Percent Number Percent Number PercentKohtla-JilrveTotal 66542 100.0 30197 100.0 36345 100.0Under 1 year 483 0.7 241 0.8 242 0.71-4 1991 3.0 997 3.3 994 2.75-9 3540 5.3 1858 6.2 1682 4.610-14 5087 7.6 2597 8.6 2490 6.915-19 4974 7.5 2465 8.2 2509 6.920-24 4688 7.0 2393 7.9 2295 6.325-29 4192 6.3 2052 6.8 2140 5.830-34 3931 5.9 18n 6.2 2054 5.735-39 5337 8.0 2583 8.6 2754 7.640-44 5480 8.2 2612 8.6 2868 7.945-49 5454 8.2 2518 8.3 2936 8.150-54 3499 5.3 1554 5.1 1945 5.455-59 3351 5.0 1400 4.6 1951 5.460-64 4148 6.2 1666 5.5 2482 6.865-69 4178 6.3 1571 5.2 2607 7.270-74 3508 5.3 1144 3.8 2364 6.575-79 1534 2.3 424 1.4 1110 3.180+ 1167 1.8 245 0.8 922 2.5Finland, 1999HELSINKITotal 546317 100.0 252366 100.0 293951 100.0Under 1 year 6049 1.1 3067 1.2 2982 1.01-4 24049 4.4 12319 4.9 11730 4.05-9 29004 5.3 14852 5.9 14152 4.810-14 24886 4.6 12692 5.0 12194 4.115-19 26481 4.8 13096 5.2 13385 4.620-24 43211 7.9 20008 7.9 23203 7.925-29 47218 8.6 22813 9.0 24405 8.330-34 51880 9.5 25673 10.2 26207 8.935-39 44623 8.2 22166 8.8 22457 7.640-44 39430 7.2 19127 7.6 20303 6.945-49 39687 7.3 18460 7.3 21227 7.250-54 42679 7.8 19742 7.8 22937 7.855-59 29423 5.4 13271 5.3 16152 5.560-64 23926 4.4 10603 4.2 13323 4.565-69 21036 3.9 8838 3.5 12198 4.170-74 18441 3.4 6805 2.7 11636 4.075-79 14608 2.7 4394 1.7 10214 3.580+ 19686 3.6 4440 1.8 15246 5.2

TampereTotal 191254 100.0 90480 100.0 loon4 100.0Under 1 year 2183 1.1 1122 1.2 1061 1.11-4 8953 4.7 4563 5.0 4390 4.45-9 10504 5.5 5284 5.8 5220 5.210-14 9291 4.9 4762 5.3 4529 4.515-19 10167 5.3 4947 5.5 5220 5.220-24 16000 8.4 n39 8.6 8261 8.225-29 15352 8.0 7990 8.8 7362 7.330-34 15625 8.2 8012 8.9 7613 7.635-39 14142 7.4 7287 8.1 6855 6.840-44 13284 6.9 6601 7.3 6683 6.645-49 14020 7.3 6n9 7.5 7241 7.250-54 14654 7.7 7092 7.8 7562 7.555-59 9956 5.2 4654 5.1 5302 5.360-64 9001 4.7 3995 4.4 5006 5.0

179




Number Percent Number Percent Number Percent65-69 8477 4.4 3524 3.9 4953 4.970-74 7401 3.9 2779 3.1 4622 4.675-79 5750 3.0 1810 2.0 3940 3.980+ 6494 3.4 1540 1.7 4954 4.9EspooTotal 204962 100.0 99993 100.0 104969 100.0Under 1 year 2949 1.4 1509 1.5 1440 1.41-4 12638 6.2 6409 6.4 6229 5.95-9 15193 7.4 7699 7.7 7494 7.110-14 12839 6.3 6581 6.6 6258 6.015-19 12875 6.3 6523 6.5 6352 6.120-24 14517 7.1 7747 7.7 6770 6.425-29 14650 7.1 7405 7.4 7245 6.930-34 18433 9.0 9054 9.1 9379 8.935-39 17477 8.5 8717 8.7 8760 8.340-44 15855 7.7 7679 7.7 8176 7.845-49 15951 7.8 7576 7.6 8375 8.050-54 16448 8.0 7756 7.8 8692 8.355-59 10437 5.1 4978 5.0 5459 5.260-64 7544 3.7 3575 3.6 3969 3.865-69 6064 3.0 2683 2.7 3381 3.270-74 4589 2.2 1957 2.0 2632 2.575-79 3163 1.5 1163 1.2 2000 1.980+ 3340 1.6 982 1.0 2358 2.2

TurkuTotal 170931 100.0 79617 100.0 91314 100.0Under 1 year 1857 1.1 957 1.2 900 1.01-4 7257 4.2 3732 4.7 3525 3.95-9 8503 5.0 4405 5.5 4098 4.510-14 7890 4.6 4047 5.1 3843 4.215-19 9180 5.4 4411 5.5 4769 5.220-24 15541 9.1 7056 8.9 8485 9.325-29 13607 8.0 6876 8.6 6731 7.430-34 13159 7.7 6660 8.4 6499 7.135-39 11589 6.8 5869 7.4 5720 6.340-44 11413 6.7 5637 7.1 5776 6.345-49 12535 7.3 5943 7.5 6592 7.250-54 13418 7.8 6543 8.2 6875 7.555-59 8992 5.3 4270 5.4 4722 5.260-64 7927 4.6 3561 4.5 4366 4.865-69 7993 4.7 3317 4.2 4676 5.170-74 7287 4.3 2779 3.5 4508 4.975-79 5784 3.4 1832 2.3 3952 4.380+ 6999 4.1 1722 2.2 5277 5.8

Fr8nce.1990PARISTotal 9316656 100.0 4497955 100.0 4818701 100.00-4 559177 6.0 285529 6.3 273648 5.75-9 612515 6.6 312047 6.9 300468 6.210-14 578506 6.2 294884 6.6 283622 5.915-19 626173 6.7 318958 7.1 307215 6.420-24 739936 7.9 361091 8.0 378845 7.925-29 863958 9.3 423139 9.4 440819 9.130-34 802678 8.6 397691 8.8 404987 8.435·39 742676 8.0 364808 8.1 377868 7.840-44 767625 8.2 383556 8.5 384069 8.045-49 550228 5.9 280798 6.2 269430 5.6

180




Number Percent Number Percent Number Percent---------- -_._----~---_."--------------. ._~.-._-_._._.._--_._--------~-----_._-----

50·54 505699 5.4 255606 5.7 250093 5.255-59 481701 5.2 236692 5.3 245009 5.160-64 406011 4.4 188864 4.2 217147 4.5

65-69 338350 3.6 143811 3.2 194539 4.070-74 205957 2.2 81904 1.8 124053 2.675-79 211166 2.3 75377 1.7 135789 2.880+ 324300 3.5 93200 2.1 231100 4.8MarseilleTotal 1230071 100.0 588728 100.0 641343 100.00-4 65418 5.3 34002 5.8 31416 4.95-9 77024 6.3 39798 6.8 37226 5.810-14 76317 6.2 39305 6.7 37012 5.815-19 84159 6.8 42599 7.2 41560 6.520-24 99914 8.1 50081 8.5 49833 7.825-29 93006 7.6 45396 7.7 47610 7.430-34 90851 7.4 44303 7.5 46548 7.335-39 88981 7.2 43235 7.3 45746 7.140-44 90959 7.4 44023 7.5 46936 7.345-49 72345 5.9 35737 6.1 36608 5.750-54 64725 5.3 31981 5.4 32744 5.155-59 66596 5.4 32020 5.4 34576 5.460-64 65152 5.3 30396 5.2 34756 5.465-69 61060 5.0 26684 4.5 34376 5.470-74 40828 3.3 17360 2.9 23468 3.775-79 40688 3.3 15800 2.7 24888 3.980+ 52048 4.2 16008 2.7 36040 5.6LyonTotal 1262263 100.0 606067 100.0 656196 100.00-4 74700 5.9 38030 6.3 36670 5.65-9 83273 6.6 42608 7.0 40665 6.210-14 80061 6.3 40806 6.7 39255 6.015-19 91929 7.3 46331 7.6 45598 6.920-24 114775 9.1 55823 9.2 58952 9.025-29 110481 8.8 54729 9.0 55752 8.530-34 96129 7.6 47505 7.8 48624 7.435-39 89319 7.1 43084 7.1 46235 7.040-44 95001 7.5 46679 7.7 48322 7.445-49 74867 5.9 37497 6.2 37370 5.750-54 66403 5.3 33050 5.5 33353 5.155·59 66133 5.2 32429 5.4 33704 5.160-64 60408 4.8 28016 4.6 32392 4.965-69 51748 4.1 22976 3.8 28772 4.470-74 31200 2.5 12680 2.1 18520 2.875-79 30996 2.5 11100 1.8 19896 3.080+ 44840 3.6 12724 2.1 32116 4.9

ToulouseTotal 649990 100.0 312985 100.0 337005 100.00-4 33525 5.2 17321 5.5 16204 4.85-9 37715 5.8 19512 6.2 18203 5.410-14 37375 5.8 19074 6.1 18301 5.415-19 46858 7.2 23748 7.6 23110 6.920-24 70909 10.9 34540 11.0 36369 10.825-29 61649 9.5 30856 9.9 30793 9.130-34 53319 8.2 26764 8.6 26555 7.9

35-39 49142 7.6 23982 7.7 25160 7.540-44 51165 7.9 24757 7.9 26408 7.845-49 36273 5.6 17476 5.6 18797 5.6

181





50-54 31231 4.8 15254 4.9 159n 4.755-59 30384 4.7 14452 4.6 15932 4.760-64 28101 4.3 12809 4.1 15292 4.565-69 26492 4.1 11424 3.7 15068 4.570-74 16340 2.5 6948 2.2 9392 2.875-79 17100 2.6 6848 2.2 10252 3.080+ 22412 3.4 7220 2.3 15192 4.5

Germany, 19951

BERLINTotal 339B800 100.0 1648500 100.0 1750300 100.0Under 6 years 167100 4.9 86000 5.2 81100 4.66-10 128300 3.8 65900 4.0 62400 3.610·15 181900 5.4 93200 5.7 88700 5.115-21 221200 6.5 113300 6.9 107900 6.221-25 15B600 4.7 78900 4.8 79700 4.625-30 252100 7.4 128300 7.8 123800 7.130-35 332000 9.8 172100 10.4 159900 9.135-40 315300 9.3 165200 10.0 150100 8.640-50 491300 14.5 248900 15.1 242400 13.850-60 466500 13.7 234800 14.2 231700 13.260-65 214800 6.3 103500 6.3 111300 6.465+ 469900 13.8 158500 9.6 311400 17.8HamburgTotal 1700100 100.0 821500 100.0 878600 100.0Under 6 years 92800 5.5 47600 5.8 45200 5.16-10 62800 3.7 32300 3.9 30500 3.510-15 73800 4.3 38300 4.7 35500 4.015-21 94200 5.5 48200 5.9 46000 5.221-25 81300 4.8 40800 5.0 40500 4.625-30 134600 7.9 68100 8.3 66500 7.630-35 172000 10.1 90100 11.0 81900 9.335-40 146900 8.6 76500 9.3 70400 8.040-50 223100 13.1 112100 13.6 111000 12.650-60 226400 13.3 113400 13.8 113000 12.960-65 109100 6.4 52500 6.4 5B6OO 6.465+ 283400 16.7 101800 12.4 181600 20.7Munchen

Total 1188900 100.0 567900 100.0 621000 100.0Under 6 years 64800 5.5 33100 5.8 31700 5.16-10 39800 3.3 20400 3.6 19400 3.110-15 45400 3.8 23400 4.1 22000 3.515-21 59800 5.0 29'100 5.2 30100 4.821-25 55200 4.6 26500 4.7 28700 4.625-30 96600 8.1 49100 8.6 47500 7.630-35 122100 10.3 63800 11.2 58300 9.435-40 101000 8.5 52200 9.2 48800 7.940·50 162100 13.6 78300 13.8 83800 13.550-60 178500 15.0 87900 15.5 90600 14.660·65 75300 6.3 35800 6.3 39500 6.465+ 188500 15.9 6noo 11.9 120800 19.5

KolnTotal 962600 100.0 466100 100.0 496500 100.0Under 6 years 56300 5.8 29100 6.2 27200 5.56·10 3noo 3.9 19300 4.1 18400 3.710·15 42800 4.4 22100 4.7 20700 4.215-21 51900 5.4 26000 5.6 25900 5.221-25 45000 4.7 21400 4.6 23600 4.8

182




Number Percent Number Percent Number Percent25-30 77700 8.1 38800 8.3 38900 7.830-35 99300 10.3 51000 10.9 48300 9.735-40 85600 8.9 44300 9.5 41300 8.340-50 131400 13.7 65400 14.0 66000 13.350-60 125000 13.0 62600 13.4 62400 12.660-65 61500 6.4 30500 6.5 31000 6.265+ 148400 15.4 55600 11.9 92800 18.7Hungary, 1999BUDAPESTTotal 1838753 100.0 836980 100.0 looln3 100.0Under 1 year 14936 0.8 n23 0.9 7213 0.71-4 62516 3.4 32263 3.9 30253 3.05-9 90265 4.9 46260 5.5 44005 4.410-14 93487 5.1 47671 5.7 45816 4.615-19 114742 6.2 58003 6.9 56739 5.720-24 171647 9.3 84706 10.1 86941 8.725-29 137621 7.5 66493 7.9 71128 7.130-34 121906 6.6 59211 7.1 62695 6.335-39 100019 5.4 47006 5.6 53013 5.34Q-44 134523 7.3 62049 7.4 72474 7.245-49 146867 8.0 66806 8.0 80061 8.050-54 137470 7.5 61632 7.4 75838 7.655-59 115660 6.3 51537 6.2 64123 6.46Q-64 89665 4.9 36940 4.4 52725 5.365-69 91324 5.0 36408 4.3 54916 5.570-74 84798 4.6 30906 3.7 53892 5.475-79 68766 3.7 22840 2.7 45926 4.680+ 62541 3.4 18526 2.2 44015 4.4DebrecenTotal 205032 100.0 96434 100.0 108598 100.0Under 1 year 2043 1.0 1049 1.1 994 0.91-4 8695 4.3 4537 4.7 4358 4.05-9 13012 6.3 6637 6.9 6375 5.910-14 12642 6.2 6379 6.6 6263 5.815-19 16363 8.0 6015 8.3 8348 7.720-24 19168 9.3 9654 10.0 9514 8.825-29 15071 7.4 7615 7.9 7456 6.930-34 13892 6.8 69n 7.2 6915 6.435-39 12709 6.2 6130 6.4 6579 6.140-44 17040 8.3 6073 8.4 8967 8.345-49 15744 7.7 7218 7.5 8526 7.950-54 13284 6.5 6181 6.4 7103 6.555-59 10794 5.3 4605 5.0 5989 5.56Q-64 9050 4.4 3882 4.0 5168 4.865-69 8329 4.1 3489 3.6 4840 4.570-74 7115 3.5 2585 2.7 4530 4.275-79 5549 2.7 18n 1.9 3672 3.480+ 4332 2.1 1331 1.4 3001 2.8MiskolcTotal 173629 100.0 60404 100.0 93225 100.0Under 1 year 1615 0.9 821 1.0 794 0.91-4 7061 4.1 3670 4.6 3391 3.65-9 10189 5.9 5401 6.7 4788 5.110-14 10688 6.2 5520 6.9 5168 5.515-19 13706 7.9 6830 8.5 6876 7.4

20-24 14353 8.3 7186 8.9 7167 7.7

25·29 11996 6.9 6074 7.6 5922 6.4

183





30-34 10582 6.1 5186 6.4 5396 5.835-39 9903 5.7 4637 5.8 5266 5.640-44 13824 8.0 6386 7.9 7438 8.045-49 13186 7.6 5956 7.4 7230 7.850-54 11434 6.6 5053 6.3 6381 6.855-59 10650 6.1 4649 5.8 6001 6.460-64 9860 5.7 4059 5.0 5801 6.265-69 8714 5.0 3574 4.4 5140 5.570-74 6894 4.0 2601 3.2 4293 4.675-79 5063 2.9 1674 2.1 3389 3.680+ 3911 2.3 1127 1.4 2784 3.0

SzegedTotal 159133 100.0 73824 100.0 85309 100.0Under 1 year 1568 1.0 816 1.1 752 0.91-4 6896 4.3 3517 4.8 3379 4.05-9 9602 6.0 4909 6.6 4693 5.510-14 9128 5.7 4618 6.3 4510 5.315-19 10875 6.8 5364 7.3 5511 6.520-24 15400 9.7 7649 10.4 7751 9.125-29 11168 7.0 5789 7.8 5379 6.330-34 10477 6.6 5188 7.0 5289 6.235-39 9090 5.7 4247 5.8 4843 5.740-44 12229 7.7 5643 7.6 6586 7.745-49 12424 7.8 5602 7.6 6822 8.050-54 11273 7.1 5038 6.8 6235 7.355-59 9191 5.8 4201 5.7 4990 5.860-64 7322 4.6 3024 4.1 4298 5.065-69 7052 4.4 2833 3.8 4219 4.970-74 6276 3.9 2345 3.2 3931 4.675-79 4887 3.1 1715 2.3 3172 3.780+ 4275 2.7 1326 1.8 2949 3.5

Ireland,1996DUBLIN

Total 481854 100.0 228401 100.0 253453 100.00-4 28860 6.0 14758 6.5 14102 5.65-9 28607 5.9 14569 6.4 14038 5.510-14 30564 6.3 15835 6.9 14729 5.815-19 37933 7.9 18624 8.2 19309 7.620-24 54296 11.3 25380 11.1 28916 11.425-29 48786 10.1 23725 10.4 25061 9.930-34 38670 8.0 18797 8.2 19873 7.835-39 31478 6.5 15454 6.8 16024 6.340-44 27032 5.6 13115 5.7 13917 5.545-49 25765 5.3 12606 5.5 13159 5.250-54 23068 4.8 11121 4.9 11947 4.755-59 22330 4.6 10607 4.6 11723 4.660-64 21531 4.5 9888 4.3 11643 4.665-69 20217 4.2 8801 3.9 11416 4.570-74 17313 3.6 6991 3.1 10322 4.175-79 12022 2.5 4387 1.9 7635 3.080+ 13382 2.8 3743 1.6 9639 3.8

Cor1<Total 127187 100.0 61254 100.0 65933 100:00-4 7708 6.1 4016 6.6 3692 5.65-9 8446 6.6 4373 7.1 4073 6.210-14 9581 7.5 4900 8.0 4681 7.115-19 12188 9.6 5961 9.7 6227 9.4

184




Number Percent Number Percent Number Percent20-24 14293 11.2 6820 11.1 7473 11.325-29 10394 8.2 5150 8.4 5244 8.030-34 9090 7.1 4397 7.2 4693 7.135-39 8127 6.4 3942 6.4 4185 6.34Q.44 7235 5.7 3593 5.9 3642 5.545-49 6911 5.4 3408 5.6 3503 5.350·54 6440 5.1 3156 5.2 3284 5.055-59 6174 4.9 2981 4.9 3193 4.860-64 5596 4.4 2682 4.4 2914 4.465-69 4921 3.4 2272 3.7 2649 4.070-74 4120 3.2 1692 2.8 2428 3.775-79 2923 2.3 1084 1.8 1839 2.880+ 3040 2.4 827 1.4 2213 3.4LimerickTotal 52039 100.0 25092 100.0 26947 100.00-4 3523 6.8 1784 7.1 1739 6.55-9 3649 7.0 1875 7.5 ln4 6.610-14 4005 7.7 2002 8.0 2003 7.415·19 5001 9.6 2436 9.7 2565 9.520-24 5432 10.4 2608 10.4 2824 10.525·29 4320 8.3 2143 8.5 21n 8.130-34 3762 7.2 1855 7.4 1907 7.135-39 3226 6.2 1592 6.3 1634 6.14Q.44 2995 5.8 1485 5.9 1510 5.645-49 2927 5.6 1434 5.7 1493 5.550-54 2578 5.0 1242 4.9 1336 5.055-59 2446 4.7 1218 4.9 1228 4.660-64 2240 4.3 1085 4.3 1155 4.365-69 1993 3.8 874 3.5 1119 4.270-74 1676 3.2 721 2.9 955 3.575-79 1117 2.1 412 1.6 705 2.680+ 1149 2.2 326 1.3 823 3.1GalwayTotal 57241 100.0 26973 100.0 30268 100.0Q.4 3750 6.6 1933 7.2 1817 6.05·9 3855 6.7 2014 7.5 1841 6.110-14 4329 7.6 2222 8.2 2107 7.015-19 5921 10.3 2823 10.5 3098 10.220-24 8108 14.2 3558 13.2 4550 15.025-29 5157 9.0 2441 9.0 2716 9.030-34 4347 7.6 2009 7.4 2338 7.735-39 3939 6.9 1830 6.8 2109 7.040-44 3401 5.9 1618 6.0 1783 5.945-49 3022 5.3 1425 5.3 1597 5.350·54 2606 4.6 1282 4.8 1324 4.455-59 2108 3.7 1031 3.8 10n 3.660-64 1715 3.0 824 3.1 891 2.965-69 1527 2.7 667 2.5 860 2.870-74 1319 2.3 553 2.1 766 2.575-79 1003 1.8 376 1.4 627 2.180+ 1134 2.0 367 1.4 767 2.5lale of Men, 18KDOUGLASTotal 23487 100.0 11430 100.0 12057 100.0Q.4 1521 6.5 781 6.8 740 6.15-9 1463 6.2 748 6.5 715 5.910-14 13n 5.9 689 6.0 688 5.7

186





15-19 1275 5.4 667 5.8 608 5.0

20-24 1709 7.3 810 7.1 899 7.5

25·29 2116 9.0 1065 9.3 1051 8.7

30-34 2059 8.8 1072 9.4 987 8.2

35-39 1780 7.6 895 7.8 885 7.3

40-44 1489 6.3 749 6.6 740 6.1

45-49 1595 6.8 815 7.1 780 6.5

50-54 1237 5.3 631 5.5 606 5.055-59 1171 5.0 589 5.2 582 4.8

60-64 1012 4.3 490 4.3 522 4.365-69 972 4.1 442 3.9 530 4.4

70-74 922 3.9 364 3.2 558 4.6

75-79 686 2.9 280 2.4 406 3.4

80+ 1103 4.7 343 3.0 760 6.3

Latvia. 1999RIGATotal 796732 100.0 360250 100.0 436482 100.0Under 1 year 4808 0.6 2491 0.7 2317 0.51-4 21448 2.7 11063 3.1 10385 2.45-9 41986 5.3 21534 6.0 20452 4.710-14 56646 7.1 28893 8.0 27753 6.415-19 54780 6.9 27713 7.7 27067 6.220-24 54029 6.8 26593 7.4 27436 6.325-29 59541 7.5 31225 8.7 28316 6.530-34 56998 7.2 29243 8.1 27755 6.435-39 63747 8.0 30030 8.3 33717 7.740-44 62154 7.8 28555 7.9 33599 7.745-49 56017 7.0 24922 6.9 31095 7.150-54 47514 6.0 20377 5.7 27137 6.255-59 50115 6.3 20602 5.7 29513 6.860-64 47601 6.0 18928 5.3 28673 6.665-69 42408 5.3 16306 4.5 26102 6.070-74 36594 4.6 11506 3.2 25088 5.775-79 21142 2.7 5678 1.6 15464 3.580+ 19204 2.4 4591 1.3 14613 3.3DaugavpilsTotal 115450 100.0 53266 100.0 62184 100.0Under 1 year 782 0.7 410 0.8 372 0.61-4 3190 2.8 1621 3.0 1569 2.55-9 6926 6.0 3490 6.6 3436 5.510·14 8528 7.4 4330 8.1 4198 6.815-19 8134 7.0 3987 7.5 4147 6.720·24 8120 7.0 3873 7.3 4247 6.825-29 9444 8.2 4914 9.2 4530 7.330-34 9620 8.3 5364 10.1 4256 6.835-39 9029 7.8 4334 8.1 4695 7.640-44 8418 7.3 3930 7.4 4488 7.245-49 7933 6.9 3577 6.7 4356 7.050-54 6575 5.7 2798 5.3 3777 6.155·59 6782 5.9 2883 5.4 3899 6.360-64 6566 5.7 2664 5.0 3902 6.365-69 5864 5.1 2221 4.2 3643 5.970-74 4790 4.1 1561 2.9 3229 5.2

75·79 2679 2.3 804 1.5 1875 3.0

80+ 2070 1.8 505 0.9 1565 2.5

186




Number Percent Number Percent Number PercentLiepajaTotal 95427 100.0 44092 100.0 51335 100.0Under 1 year 646 0.7 319 0.7 327 0.61-4 3154 3.3 1662 3.8 1492 2.95-9 5934 6.2 3048 6.9 2886 5.610-14 7553 7.9 3n4 8.6 3n9 7.415-19 6604 6.9 3416 7.7 3188 6.220-24 6372 6.7 3109 7.1 3263 6.425-29 6992 7.3 3631 8.2 3361 6.530-34 7116 7.5 3760 8.5 3356 6.535-39 7981 8.4 3954 9.0 4027 7.840-44 6nO 7.1 3127 7.1 3643 7.145-49 6399 6.7 2856 6.5 3543 6.950-54 5364 5.6 2339 5.3 3025 5.955-59 6167 6.5 2620 5.9 3547 6.960-64 5799 6.1 2378 5.4 3421 6.765-69 4652 4.9 1845 4.2 2807 5.570-74 3982 4.2 1306 3.0 2676 5.275-79 2039 2.1 524 1.2 1515 3.080+ 1903 2.0 424 1.0 1479 2.9

JurmalaTotal 58865 100.0 26264 100.0 32601 100.0Under 1 year 378 0.6 204 0.8 174 0.51-4 lnO 3.0 922 3.5 848 2.65-9 3372 5.7 1709 6.5 1663 5.110·14 4227 7.2 2131 8.1 2096 6.415-19 4256 7.2 2097 8.0 2159 6.620-24 3610 6.1 1791 6.8 1819 5.625-29 4351 7.4 2206 8.4 2145 6.630-34 4038 6.9 2028 7.7 2010 6.235-39 4327 7.4 1999 7.6 2328 7.140-44 4282 7.3 1961 7.5 2321 7.145-49 4187 7.1 1809 6.9 2378 7.350-54 3593 6.1 1529 5.8 2064 6.355-59 3843 6.5 1580 6.0 2263 6.960-64 3660 6.2 1441 5.5 2219 6.865-69 3113 5.3 1134 4.3 1979 6.17Ot- 5858 10.0 1723 6.6 4135 12.7LIthuania. 1999VILNIUSTotal 578334 100.0 274354 100.0 303980 100.0Under 1 year 4841 0.8 2493 0.9 2348 0.81-4 20681 3.6 10616 3.9 10065 3.35-9 34662 6.0 17629 6.4 17033 5.610-14 41811 7.2 21248 7.7 20563 6.815·19 40070 6.9 19869 7.2 20201 6.620-24 41552 7.2 20173 7.4 21379 7.025-29 51639 8.9 28632 10.4 23007 7.630-34 51359 8.9 27950 10.2 23409 7.735-39 52796 9.1 255n 9.3 27219 9.040-44 43827 7.6 20526 7.5 23301 7.745-49 41618 7.2 18548 6.8 23070 7.650-54 32198 5.6 13960 5.1 18238 6.055-59 32330 5.6 14273 5.2 18057 5.960-64 27603 4.8 11573 4.2 16030 5.365-69 24211 4.2 10053 3.7 14158 4.770-74 18206 3.1 5821 2.1 12385 4.175-79 8728 1.5 2664 1.0 6064 2.080+ 10202 1.8 2749 1.0 7453 2.5

187




Number Percent Number Percent Number PercentKaunasTotal 414174 100.0 1902n 100.0 223897 100.0Under 1 year 3810 0.9 2024 1.1 1786 0.81-4 16469 4.0 8494 4.5 7975 3.65-9 25618 6.2 13199 6.9 12419 5.510-14 30037 7.3 15329 8.1 14708 6.615-19 29876 7.2 14808 7.8 15068 6.720-24 31131 7.5 15493 8.1 15638 7.025·29 33118 8.0 16328 8.6 16790 7.530-34 33015 8.0 16258 8.5 16757 7.535·39 35447 8.6 16749 8.8 18698 8.440-44 29453 7.1 13559 7.1 15894 7.145-49 27438 6.6 11994 6.3 15444 6.950-54 24241 5.9 10555 5.5 13686 6.155-59 24452 5.9 10470 5.5 13982 6.260-64 19966 4.8 8084 4.2 11882 5.365-69 18258 4.4 7310 3.8 10948 4.970-74 13666 3.3 4441 2.3 9225 4.175-79 79n 1.9 2371 1.2 5606 2.580+ 10202 2.5 2811 1.5 7391 3.3KlaipedaTotal 202528 100.0 96408 100.0 106120 100.0Under 1 year 1722 0.9 864 0.9 858 0.81-4 7486 3.7 3819 4.0 3667 3.55-9 13413 6.6 6840 7.1 6573 6.210-14 16003 7.9 8229 8.5 m4 7.315-19 15339 7.6 7956 8.3 7383 7.020-24 14243 7.0 6942 7.2 7301 6.925-29 14753 7.3 7355 7.6 7398 7.030-34 16307 8.1 8489 8.8 7818 7.435·39 18806 9.3 9354 9.7 9452 8.940-44 16095 7.9 n84 8.1 8311 7.845-49 14045 6.9 6598 6.8 7447 7.050-54 10422 5.1 4715 4.9 5707 5.455-59 12120 6.0 5356 5.6 6764 6.460-64 10905 5.4 4659 4.8 6246 5.965-69 9072 4.5 3713 3.9 5359 5.070-74 8372 3.1 2171 2.3 4201 4.075-79 2735 1.4 825 0.9 1910 1.880+ 2690 1.3 739 0.8 1951 1.8SiauliaiTotal 146800 100.0 67984 100.0 78816 100.0Under 1 year 1337 0.9 709 1.0 628 0.81-4 4552 3.1 3196 4.7 1356 1.75-9 12284 8.4 5456 8.0 6828 8.710-14 11972 8.2 6126 9.0 5846 7.415-19 10479 7.1 5150 7.6 5329 6.820·24 10593 7.2 5083 7.5 5510 7.025-29 12313 8.4 5959 8.8 6354 8.130-34 12198 8.3 5799 8.5 6399 8.135-39 13675 9.3 6523 9.6 7152 9.140-44 10896 7.4 5110 7.5 5786 7.345-49 9191 6.3 4147 6.1 5044 6.450-54 n02 5.2 3472 5.1 4230 5.455-59 7605 5.2 3359 4.9 4246 5.460-64 6655 4.5 2721 4.0 3934 5.065-69 5782 3.9 2287 3.4 3495 4.470-74 4384 3.0 1410 2.1 2974 3.8

188

-- ------ ~-----------




Number Percent Number Percent Number Percent75-79 2370 1.6 747 1.1 1623 2.180+ 2812 1.9 730 1.1 2082 2.6MlIIte,1995VALLETTATotal 7262 100.0 3482 100.0 3780 100.00-4 334 4.6 156 4.5 178 4.7

5·9 338 4.7 175 5.0 163 4.310-14 446 6.1 238 6.8 208 5.515·19 506 7.0 268 7.7 238 6.320-24 493 6.8 269 7.7 224 5.925-29 388 5.3 228 6.5 160 4.230-34 389 5.4 203 5.8 186 4.935-39 435 6.0 230 6.6 205 5.440-44 430 5.9 228 6.5 202 5.345-49 510 7.0 236 6.8 274 7.250-54 476 6.6 211 6.1 265 7.055-59 465 6.4 197 5.7 268 7.160-64 509 7.0 213 6.1 296 7.865-69 503 6.9 216 6.2 287 7.670-74 469 6.5 201 5.8 268 7.175-79 274 3.8 105 3.0 169 4.580+ 297 4.1 108 3.1 189 5.0Netherlllnds, 1999AMSTERDAMTotal 727053 100.0 357105 100.0 369948 100.0Under 1 year 9865 1.4 5039 1.4 4826 1.31-4 32926 4.5 16820 4.7 16106 4.45-9 38194 5.3 19359 5.4 18835 5.110-14 33911 4.7 17343 4.9 16568 4.515-19 33375 4.6 16587 4.6 16788 4.520-24 51188 7.0 23354 6.5 27834 7.525-29 81053 11.1 39434 11.0 41619 11.230-34 80896 11.1 42204 11.8 38692 10.535-39 69300 9.5 37003 10.4 32297 8.740-44 56176 7.7 29398 8.2 26n8 7.245-49 48206 6.6 24970 7.0 23236 6.350-54 43938 6.0 22415 6.3 21523 5.855-59 31421 4.3 16057 4.5 15364 4.260-64 25847 3.6 12687 3.6 13160 3.665-69 23407 3.2 10733 3.0 12674 3.470·74 22305 3.1 9272 2.6 13033 3.575-79 19751 2.7 7396 2.1 12355 3.380+ 25294 3.5 7034 2.0 18260 4.9RotterdamTotal 592665 100.0 289888 100.0 3027n 100.0Under 1 year 7252 1.2 3693 1.3 3559 1.21-4 27442 4.6 14075 4.9 13367 4.45-9 35096 5.9 18151 6.3 16945 5.610-14 33148 5.6 16883 5.8 16265 5.415-19 32854 5.5 16498 5.7 16356 5.420-24 42735 7.2 20883 7.2 21852 7.225-29 56587 9.5 28938 10.0 27649 9.130-34 52214 8.8 27403 9.5 24811 8.235-39 47167 8.0 24179 8.3 22988 7.640-44 40940 6.9 20802 7.2 20138 6.745-49 36699 6.2 18646 6.4 18053 6.050-54 35727 6.0 18068 6.2 17659 5.8

189





55-59 27829 4.7 14152 4.9 13677 4.560-64 25441 4.3 12447 4.3 12994 4.365-69 24168 4.1 11183 3.9 12985 4.3

70-74 22252 3.8 9363 3.2 12889 4.375-79 19672 3.3 7417 2.6 12255 4.0

80+ 25442 4.3 7107 2.5 18335 6.1's Gravenhage

Total 440743 100.0 213476 100.0 227267 100.0Under 1 year 5542 1.3 2831 1.3 2711 1.2

1-4 20126 4.6 10305 4.8 9821 4.35-9 24775 5.6 12775 6.0 12000 5.310-14 23245 5.3 11745 5.5 11500 5.115-19 24268 5.5 12160 5.7 12108 5.320-24 29866 6.8 14254 6.7 15612 6.925-29 41232 9.4 20923 9.8 20309 8.930-34 38849 8.8 20452 9.6 18397 8.135-39 35426 8.0 18557 8.7 16869 7.440-44 31326 7.1 16065 7.5 15261 6.745-49 28782 6.5 14725 6.9 14057 6.2

50-54 27924 6.3 14176 6.6 13748 6.055-59 20650 4.7 10417 4.9 10233 4.560-64 17517 4.0 8336 3.9 9181 4.065-69 16877 3.8 7510 3.5 9367 4.170-74 16499 3.7 6512 3.1 9987 4.475-79 15814 3.6 5627 2.6 10187 4.580+ 22025 5.0 6106 2.9 15919 7.0Utrecht

Total 232718 100.0 111303 100.0 121415 100.0Under 1 yeer 3022 1.3 1565 1.4 1457 1.21-4 10105 4.3 5124 4.6 4981 4.15-9 11617 5.0 5983 5.4 5634 4.610-14 9900 4.3 5002 4.5 4898 4.015-19 11450 4.9 5365 4.8 6085 5.020-24 24745 10.6 10583 9.5 14162 11.725-29 31351 13.5 15203 13.7 16148 13.330-34 24497 10.5 12727 11.4 11770 9.735-39 19177 8.2 9986 9.0 9191 7.64Q-44 15067 6.5 7708 6.9 7359 6.145-49 13118 5.6 6647 6.0 6471 5.350-54 12027 5.2 5985 5.4 6042 5.055-59 9522 4.1 4663 4.2 4859 4.060-64 8479 3.6 4188 3.8 4291 3.565-69 7542 3.2 3412 3.1 4130 3.470-74 7119 3.1 2883 2.6 4236 3.575-79 6352 2.7 2266 2.0 4086 3.480+ 7628 3.3 2013 1.8 5615 4.6Norway, 1999

OSLO

Total 502867 100.0 242228 100.0 260639 100.0Under 1 yeer 7379 1.5 3786 1.6 3593 1.41-4 25950 5.2 13346 5.5 12604 4.85-9 28233 5.6 14328 5.9 13905 5.310-14 23024 4.6 11776 4.9 11248 4.315-19 21324 4.2 10794 4.5 10530 4.020-24 31453 6.3 14701 6.1 16752 6.425-29 54053 10.7 26057 10.8 27996 10.730-34 51730 10.3 26663 11.0 25067 9.6

190





35-39 41379 8.2 21597 8.9 19782 7.640-44 35630 7.1 181n 7.5 17453 6.745-49 31855 6.3 16132 6.7 15723 6.0

50-54 33232 6.6 16860 7.0 16372 6.355-59 22702 4.5 11225 4.6 114n 4.460-64 17422 3.5 8105 3.3 9317 3.665-69 17672 3.5 7940 3.3 9732 3.770-74 17935 3.6 7529 3.1 10406 4.075-79 18175 3.6 6709 2.8 11466 4.480+ 23719 4.7 6503 2.7 17216 6.6BergenTotal 227276 100.0 111210 100.0 116066 100.0Under 1 year 3208 1.4 1657 1.5 1551 1.31-4 13137 5.8 6726 6.0 6411 5.55-9 15938 7.0 8219 7.4 n19 6.710-14 13187 5.8 6798 6.1 6389 5.515-19 12202 5.4 6269 5.6 5933 5.120-24 14515 6.4 7261 6.5 7254 6.225-29 19596 8.6 9851 8.9 9745 8.4

30-34 19209 8.5 9811 8.8 9398 8.1

35-39 17513 7.7 9025 8.1 6488 7.3

40-44 15673 6.9 8056 7.2 7617 6.645-49 14254 6.3 7192 6.5 7062 6.1

50-54 14359 6.3 7223 6.5 7136 6.1

55-59 10644 4.7 5157 4.6 5487 4.7

60-64 9147 4.0 4326 3.9 4821 4.265-69 8928 3.9 4095 3.7 4833 4.2

70-74 6304 3.7 3540 3.2 4764 4.175-79 n93 3.4 3143 2.8 4650 4.080+ 9669 4.3 2861 2.6 6808 5.9

TrondheimTotal 147187 100.0 71920 100.0 75267 100.0Under 1 year 2137 1.5 1065 1.5 1072 1.41-4 8400 5.7 4250 5.9 4150 5.5

5·9 10078 6.8 5145 7.2 4933 6.6

10-14 8399 5.7 4212 5.9 4187 5.6

15-19 7858 5.3 3958 5.5 3900 5.2

20-24 9984 6.8 4913 6.8 5081 6.825-29 12934 8.8 6613 9.2 6321 8.430-34 12n3 8.7 6514 9.1 6259 8.335-39 11043 7.5 5586 7.8 5455 7.240-44 10683 7.2 5421 7.5 5242 7.045-49 9979 6.8 4990 6.9 4989 6.6

50-54 9985 6.8 5018 7.0 4967 6.655-59 7168 4.9 3580 4.9 3608 4.8

60-64 5261 3.6 2446 3.4 2815 3.765-69 5282 3.6 2452 3.4 2830 3.870-74 53n 3.7 2309 3.2 3068 4.175-79 4747 3.2 1896 2.6 2851 3.8

80+ 5109 3.5 1570 2.2 3539 4.7

StavangerTotal 108019 100.0 53112 100.0 54907 100.0

Under 1 year 1644 1.5 868 1.6 n6 1.4

1-4 6888 6.2 3414 6.4 3274 6.0

5-9 n81 7.2 4047 7.6 3734 6.8

10-14 6580 6.1 3327 6.3 3253 5.915·19 6141 5.7 3150 5.9 2991 5.4

191




Number Percent Number Percent Number Percent20-24 7186 6.7 3533 6.7 3653 6.725-29 9707 9.0 4789 9.0 4918 9.030-34 9569 8.9 4838 9.1 4731 8.635-39 8611 8.0 4428 8.3 4183 7.640-44 7916 7.3 3998 7.5 3918 7.145-49 7148 6.6 3727 7.0 3421 6.250-54 6550 6.1 3396 6.4 3154 5.755-59 4625 4.3 2291 4.3 2334 4.36Q-64 3623 3.4 1742 3.3 1881 3.465-69 3521 3.3 1569 3.0 1952 3.670-74 3315 3.1 1463 2.8 1852 3.475-79 3282 3.0 1259 2.4 2023 3.780+ 4132 3.8 1273 2.4 2859 5.2Poland, 1995WARSZAWATotal 1626646 100.0 761453 100.0 875193 100.00-4 72842 4.5 38236 5.0 34606 4.05-9 87604 5.4 46222 6.1 41382 4.710-14 112167 6.9 57959 7.6 54208 6.215-19 125114 7.7 62920 8.3 62194 7.120-24 107932 6.6 54450 7.2 53482 6.125-29 84095 5.2 43560 5.7 40535 4.630-34 93896 5.8 44286 5.8 49610 5.735-39 140844 8.7 63646 8.4 nl98 8.840-44 162745 10.0 75867 10.0 86878 9.945-49 130680 8.0 57838 7.6 72842 8.350-54 90629 5.6 39083 5.1 51546 5.955-59 104423 6.4 48521 6.4 55902 6.460-64 104423 6.4 43560 5.7 60863 7.065-69 86999 5.3 36784 4.8 50215 5.770-74 61952 3.8 24321 3.2 37631 4.375-79 26499 1.6 10769 1.4 15730 1.880+ 42108 2.6 12705 1.7 29403 3.4Not Stated 1694 0.1 726 0.1 968 0.1LodzTotal 816698 100.0 373636 100.0 443062 100.00-4 35786 4.4 18096 4.8 17690 4.05-9 44196 5.4 22040 5.9 22156 5.010-14 51156 6.3 24766 6.6 26390 6.015-19 51852 6.3 27434 7.3 24418 5.520-24 54984 6.7 26680 7.1 28304 6.425-29 46980 5.8 22910 6.1 24070 5.430·34 50460 6.2 23722 6.3 26738 6.035·39 66932 8.2 32538 8.7 34394 7.840-44 75400 9.2 35902 9.6 39498 8.945-49 65366 8.0 31030 8.3 34336 7.750·54 41354 5.1 19140 5.1 22214 5.055-59 46806 5.7 19198 5.1 27608 6.26Q-64 53534 6.6 21982 5.9 31552 7.165-69 51272 6.3 21170 5.7 30102 6.870-74 40136 4.9 14500 3.9 25636 5.875-79 17690 2.2 6438 1.7 11252 2.580+ 22620 2.8 6032 1.6 16588 3.7Not Stated 174 0.0 58 0.0 116 0.0

192





Krakow

Total 732880 100.0 346240 100.0 386640 100.0

0-4 36720 5.0 17840 5.2 18880 4.9

5-9 43080 5.9 21720 6.3 21360 5.5

10-14 53240 7.3 27920 8.1 25320 6.5

15-19 58920 8.0 31120 9.0 27800 7.2

20-24 59160 8.1 29720 8.6 29440 7.6

25·29 46920 6.4 23360 6.7 23560 6.1

30-34 46520 6.3 23080 6.7 23440 6.1

35-39 57200 7.8 25880 7.5 31320 8.1

40-44 65600 9.0 31720 9.2 33880 8.8

45-49 56320 7.7 26920 7.8 29400 7.6

50-54 38720 5.3 18240 5.3 20480 5.3

55·59 39120 5.3 18360 5.3 20760 5.4

6Q-64 39840 5.4 17640 5.1 22200 5.7

65-69 33880 4.6 14720 4.3 19160 5.0

70-74 24720 3.4 8840 2.6 15880 4.1

75-79 12360 1.7 3600 1.0 8760 2.3

80+ 19800 2.7 5240 1.5 14560 3.8

Not stated 760 0.1 320 0.1 440 0.1

Wrockaw

Total 637260 100.0 302763 100.0 334497 100.0

Under 1 year 28939 4.5 14835 4.9 14104 4.2

1-4 35432 5.6 17974 5.9 17458 5.2

5-9 45881 7.2 24338 8.0 21543 6.4

10-14 54997 8.6 29670 9.8 25327 7.6

15-19 49450 7.8 24725 8.2 24725 7.4

20-24 35002 5.5 17544 5.8 17458 5.2

25-29 37195 5.8 18232 6.0 18963 5.7

30-34 51557 8.1 25069 8.3 26488 7.9

35-39 62006 9.7 29756 9.8 32250 9.6

40-44 46612 7.3 22145 7.3 24467 7.3

45-49 30745 4.8 13674 4.5 17071 5.1

50-54 36636 5.7 15695 5.2 20941 6.3

55-59 37023 5.8 16813 5.6 20210 6.0

6Q-64 35260 5.5 14147 4.7 21113 6.3

65-69 28294 4.4 11567 3.8 16727 5.0

70-74 9890 1.6 3268 1.1 6622 2.0

75-79 12126 1.9 3182 1.1 8944 2.7

80+ 215 0.0 129 0.0 86 0.0

Portugel. 19l11

L1SBOA

Total 663315 100.0 302822 100.0 360493 100.0

Under 1 year 5122 0.8 2646 0.9 2476 0.7

1-4 19667 3.0 10008 3.3 9659 2.7

5-9 29487 4.4 15237 5.0 14250 4.0

10-14 40023 6.0 20217 6.7 19806 5.5

15-19 49664 7.5 24939 8.2 24725 6.9

20-24 49441 7.5 24848 8.2 24593 6.8

25·29 42788 6.5 21600 7.1 21188 5.9

30-34 38550 5.8 18583 6.1 19967 5.535-39 38832 5.9 18416 6.1 20416 5.7

40-44 42926 6.5 19727 6.5 23199 6.4

45-49 42174 6.4 19144 6.3 23030 6.4

50-54 44565 6.7 20161 6.7 24404 6.8

55-59 47968 7.2 21274 7.0 26694 7.4

60-64 47574 7.2 20361 6.7 27213 7.5

193




Number Percent Number Percent Number Percent65-69 42317 6.4 17468 5.8 24849 6.970·74 31017 4.7 12038 4.0 18979 5.375·79 25988 3.9 9315 3.1 16673 4.680+ 25212 3.8 6840 2.3 18372 5.1PortoTotal 302467 100.0 137912 100.0 164555 100.0Under 1 year 2880 1.0 1462 1.1 1418 0.91-4 11139 3.7 5735 4.2 5404 3.35·9 16623 5.5 8619 6.2 8004 4.910-14 20626 6.8 10382 7.5 10244 6.215-19 25120 8.3 12497 9.1 12623 7.720·24 24nO 8.2 11876 8.6 12894 7.825·29 23395 7.7 11319 8.2 12076 7.330·34 21303 7.0 10014 7.3 11289 6.935·39 20585 6.8 9509 6.9 11076 6.740-44 20574 6.8 9416 6.8 11158 6.845-49 17859 5.9 8102 5.9 9757 5.950·54 17357 5.7 7852 5.7 9505 5.855-59 17578 5.8 7647 5.5 9931 6.06Q-64 17878 5.9 7449 5.4 10429 6.365-69 15518 5.1 6318 4.6 9200 5.670·74 11016 3.6 4130 3.0 6886 4.275·79 9308 3.1 3266 2.4 6042 3.780+ 8938 3.0 2319 1.7 6619 4.0

AmandoraTotal 124861 100.0 59n2 100.0 65089 100.0Under 1 year 1367 1.1 699 1.2 668 1.01-4 5003 4.0 2514 4.2 2489 3.85-9 6946 5.6 3507 5.9 3439 5.310·14 8n6 7.0 4465 7.5 4311 6.615-19 10363 8.3 5181 8.7 5182 8.020-24 9310 7.5 4583 7.7 4727 7.325·29 9055 7.3 4362 7.3 4693 7.230-34 9813 7.9 4847 8.1 4966 7.635-39 9073 7.3 4305 7.2 4768 7.34Q-44 10046 8.0 4710 7.9 5336 8.245-49 9316 7.5 4453 7.4 4883 7.550·54 8693 7.0 4194 7.0 4499 6.955·59 8229 6.6 4009 6.7 4220 6.560-64 6580 5.3 3071 5.1 3509 5.465-69 4915 3.9 2134 3.6 2781 4.370-74 3152 2.5 1251 2.1 1901 2.975-79 2217 1.8 854 1.4 1363 2.180+ 2007 1.6 633 1.1 1374 2.1SetubalTotal 83220 100.0 40212 100.0 43008 100.0Under 1 year 848 1.0 424 1.1 424 1.01-4 3669 4.4 1856 4.6 1813 4.25-9 5301 6.4 2717 6.8 2584 6.010·14 6919 8.3 3503 8.7 3416 7.915-19 7143 8.6 3583 8.9 3560 8.320-24 5617 6.7 2842 7.1 2n5 6.525-29 5432 6.5 2644 6.6 2788 6.530-34 6209 7.5 2884 7.2 3325 7.735-39 6141 7.4 2911 7.2 3230 7.54Q-44 6643 8.0 3331 8.3 3312 7.745-49 5648 6.8 2803 7.0 2845 6.6

194




Number Percent Number Percent Number Percent50-54 4837 5.8 2396 6.0 2441 5.755·59 4635 5.6 2195 5.5 2440 5.760-64 41n 5.0 1971 4.9 2206 5.165-69 3682 4.4 1663 4.1 2019 4.770-74 2604 3.1 1154 2.9 1450 3.475-79 1929 2.3 731 1.8 1198 2.880+ 1786 2.1 604 1.5 1182 2.7Republic of Moldova, 1998CHISINUTotal 657620 100.0 318057 100.0 339563 100.0Under 1 year 5791 0.9 29n 0.9 2814 0.81-4 26921 4.1 13881 4.4 13040 3.85-9 49145 7.5 25111 7.9 24034 7.110-14 55253 8.4 28171 8.9 27082 8.015-19 54849 8.3 27934 8.8 26915 7.920-24 64844 9.9 31457 9.9 33387 9.825-29 61907 9.4 33559 10.6 28348 8.330-34 52751 8.0 25973 8.2 26n8 7.935·39 59453 9.0 28090 8.8 31363 9.24Q-44 55364 8.4 25640 8.1 29724 8.845-49 51586 7.8 24210 7.6 27376 8.150-54 25255 3.8 11995 3.8 13260 3.955·59 28828 4.4 13551 4.3 152n 4.560-64 22466 3.4 10101 3.2 12365 3.665-69 16664 2.5 6832 2.1 9832 2.970-74 13404 2.0 4694 1.5 8710 2.675·79 7327 1.1 2275 0.7 5052 1.580+ 5812 0.9 1606 0.5 4206 1.2BaltlTotal 150890 100.0 74103 100.0 76787 100.0Under 1 year 1262 0.8 627 0.8 635 0.81-4 6022 4.0 3052 4.1 2970 3.95·9 11660 7.7 5936 8.0 5724 7.510-14 12770 8.5 6452 8.7 6318 8.215·19 12540 8.3 6270 8.5 6270 8.220·24 12546 8.3 5538 7.5 7008 9.125-29 17380 11.5 10753 14.5 6627 8.630·34 11085 7.3 5596 7.6 5489 7.135·39 13179 8.7 6296 8.5 6683 9.04Q-44 11853 7.9 5n2 7.8 6081 7.945-49 11130 7.4 5311 7.2 5819 7.650·54 5503 3.6 2632 3.6 2871 3.755-59 6855 4.5 3264 4.4 3591 4.760-64 5387 3.6 2393 3.2 2994 3.965-69 4761 3.2 1965 2.7 2796 3.670-74 3688 2.4 1245 1.7 2443 3.275-79 1824 1.2 562 0.8 1262 1.680+ 1445 1.0 439 0.6 1006 1.3TiraspolTotal 176126 100.0 80895 100.0 95231 100.0Under 1 year 1509 0.9 764 0.9 745 0.81-4 8075 4.6 4168 5.2 3907 4.15-9 13873 7.9 7088 8.8 6785 7.110-14 14464 8.2 7399 9.1 7065 7.415-19 14431 8.2 6936 8.6 7495 7.920-24 14917 8.5 5973 7.4 8944 9.425-29 14756 8.4 7365 9.1 7391 7.8

196





30-34 14335 8.1 6515 8.1 7820 8.2

35-39 15622 8.9 7262 9.0 8360 8.8

40-44 13533 7.7 6268 7.7 7265 7.6

45-49 12510 7.1 5730 7.1 6780 7.1

50-54 6n6 3.8 3107 3.8 3669 3.9

55·59 10253 5.8 4542 5.6 5711 6.0

60-64 6189 3.5 2687 3.3 3502 3.7

65-69 6183 3.5 2443 3.0 3740 3.9

70-74 4619 2.6 1488 1.8 3131 3.3

75-79 2155 1.2 693 0.9 1462 1.5

80+ 1926 1.1 467 0.6 1459 1.5

BenderTotal 125569 100.0 61851 100.0 63418 100.0

Under 1 year 1010 0.8 521 0.8 489 0.8

1-4 5401 4.3 2790 4.5 2611 4.1

5-9 10056 8.0 5256 8.5 4800 7.6

10-14 10259 8.2 5219 8.4 5040 7.9

15-19 9368 7.5 4469 7.2 4899 7.7

20-24 10526 8.4 4315 7.0 6211 9.8

25-29 15509 12.3 10907 17.6 4602 7.3

30-34 8894 7.8 4292 6.9 4602 7.3

35-39 10444 8.3 4995 8.1 5449 8.6

40-44 9819 7.8 4506 7.3 5313 8.4

45-49 9126 7.3 4323 7.0 4603 7.6

50-54 4673 3.7 2167 3.5 2506 4.055-59 6281 5.0 2796 4.5 3485 5.5

60-64 4203 3.3 1807 2.9 2396 3.8

65-69 3929 3.1 1687 2.7 2242 3.570-74 2961 2.4 948 1.5 2013 3.2

75-79 1458 1.2 467 0.8 991 1.6

80+ 1352 1.8 388 0.6 966 1.5

Slovakll,l998

BRATISLAVA

Total 449547 100.0 211335 100.0 238212 100.0Under 1 year 3249 0.7 1674 0.8 1575 0.7

1-4 14403 3.2 73n 3.5 7026 2.9

5-9 24926 5.5 12806 6.1 12120 5.110-14 31603 7.0 16004 7.6 15599 6.515-19 36306 8.1 18601 8.8 ln05 7.4

20-24 37814 8.4 19107 9.0 18707 7.9

25-29 30710 6.8 15071 7.1 15639 6.6

30-34 30296 6.7 14197 6.7 16099 6.835-39 33931 7.5 15727 7.4 18204 7.64Q-44 41058 9.1 19134 9.1 21924 9.245-49 40743 9.1 18984 9.0 21759 9.1

50-54 30360 6.8 13835 6.5 16525 6.955-59 22557 5.0 10283 4.9 12274 5.2

60-64 17263 3.8 7602 3.6 9661 4.165-69 17804 4.0 7402 3.5 10402 4.4

70-74 16089 3.6 6229 2.9 9860 4.1

75·79 12205 2.7 4661 2.2 7544 3.2

80+ 8230 1.8 2641 1.2 5589 2.3Kosice

Total 241941 100.0 116301 100.0 125640 100.0

Under 1 year 2544 1.1 1360 1.2 1184 0.9

1-4 10611 4.4 5485 4.7 5126 4.1

5-9 16583 6.9 8492 7.3 8091 6.4

196




Number Per cent Number Percent Number Percent10-14 18639 7.7 9476 8.1 9163 7.315-19 19596 8.1 10134 8.7 9462 7.520-24 21716 9.0 10869 9.3 10847 8.625-29 19395 8.0 9598 8.3 9797 7.830-34 17837 7.4 8836 7.6 9001 7.235-39 18108 7.5 8782 7.6 9326 7.440-44 19559 8.1 91n 7.9 10382 8.345-49 19806 8.2 9175 7.9 10631 8.550-54 15231 6.3 6896 5.9 8335 6.655-59 11792 4.9 5457 4.7 6335 5.060-64 9246 3.8 4282 3.7 4964 4.065-69 7867 3.3 3329 2.9 4538 3.670-74 6005 2.5 2353 2.0 3652 2.975-79 4333 1.8 1658 1.4 2675 2.180+ 3073 1.3 942 0.8 2131 1.7Spain, 1998MADRIDTotal 2881504 100.0 1346167 100.0 1535337 100.0Under 1 year 24204 0.8 12455 0.9 11749 0.81-4 89994 3.1 46166 3.4 43828 2.95-9 116481 4.0 59843 4.4 56638 3.710-14 129629 4.5 66395 4.9 63234 4.115-19 170166 5.9 86484 6.4 83682 5.520-24 233159 8.1 118058 8.8 115101 7.525-29 248827 8.6 126153 9.4 122674 8.030-34 241729 8.4 120028 8.9 121701 7.935-39 215075 7.5 104090 7.7 110985 7.240-44 182143 6.3 85143 6.3 97000 6.345-49 171958 6.0 78279 5.8 93679 6.150-54 178450 6.2 80385 6.0 98065 6.455-59 15n84 5.5 71470 5.3 86314 5.660-64 180388 6.3 81079 6.0 99309 6.565-69 174792 6.1 76887 5.7 97905 6.470-74 141785 4.9 58482 4.3 83303 5.475-79 102393 3.6 3n85 2.8 64608 4.280+ 68084 2.4 22222 1.7 45862 3.0Not Stated 54463 1.9 14763 1.1 39700 2.6

BarcelonaTotal 1505581 100.0 703231 100.0 802350 100.0Under 1 year 12175 0.8 6290 0.9 5885 0.71-4 44599 3.0 22842 3.2 21757 2.75·9 56199 3.7 28790 4.1 27409 3.410-14 63026 4.2 32175 4.6 30851 3.815-19 85301 5.7 43769 6.2 41532 5.220-24 114286 7.6 57999 8.2 56287 7.025-29 113519 7.5 57628 8.2 55891 7.030-34 111695 7.4 55136 7.8 56559 7.035-39 106202 7.1 51155 7.3 55047 6.940-44 98046 6.5 46512 6.6 51534 6.445-49 99064 6.6 46443 6.6 52621 6.650-54 100079 6.6 47243 6.7 52836 6.655-59 82366 5.5 38966 5.5 43400 5.460-64 95752 6.4 44145 6.3 51607 6.465-69 95972 6.4 42076 6.0 53896 6.770-74 86047 5.7 35346 5.0 50701 6.375-79 64103 4.3 23552 3.3 40551 5.180+ 41974 2.8 13750 2.0 28224 3.5Not Stated 35176 2.3 9414 1.3 25762 3.2

197




Number Percent Number Percent Number PercentValenciaTotal 739417 100.0 351213 100.0 388204 100.0Under 1 year 5702 0.8 2959 0.8 2743 0.71-4 23567 3.2 12173 3.5 11394 2.95·9 32463 4.4 16677 4.7 15786 4.110-14 37031 5.0 19084 5.4 17947 4.615·19 51732 7.0 26417 7.5 25315 6.520·24 64412 8.7 32613 9.3 31799 8.225·29 61108 8.3 31000 8.8 30108 7.830·34 60105 8.1 29837 8.5 30268 7.835·39 55587 7.5 27127 7.7 28460 7.340-44 49766 6.7 23632 6.7 26134 6.745-49 49017 6.6 23134 6.6 25883 6.750-54 45727 6.2 21521 6.1 24206 6.255-59 38794 5.2 18211 5.2 20583 5.360-64 40147 5.4 18423 5.2 21724 5.665-69 38736 5.2 16990 4.8 21746 5.670-74 33272 4.5 13545 3.9 19727 5.175-79 24943 3.4 9234 2.6 15709 4.080+ 27308 3.7 8636 2.5 18672 4.8

SevillaTotal 701927 100.0 335437 100.0 368490 100.0Under 1 year 5575 0.8 2849 0.8 2726 0.71-4 25754 3.7 13153 3.9 12601 3.45-9 36933 5.3 19098 5.7 17835 4.910-14 42148 6.0 21766 6.5 20382 5.615-19 56549 8.1 28818 8.6 27731 7.620-24 67480 9.6 34446 10.3 33034 9.025-29 61969 8.8 31235 9.3 30734 8.430·34 58433 8.3 28708 8.6 29725 8.135-39 50840 7.2 24809 7.4 26031 7.140-44 44931 6.4 21413 6.4 23518 6.445-49 42376 6.0 19982 6.0 22394 6.150-54 42382 6.0 20062 6.0 22320 6.155·59 33618 4.8 15990 4.8 17628 4.860-64 33826 4.8 15359 4.6 18467 5.065-69 32772 4.7 14076 4.2 18696 5.170-74 26535 3.8 10739 3.2 15796 4.375-79 19427 2.8 7106 2.1 12321 3.480+ 20379 2.9 5828 1.7 14551 4.0

Sweclen.1988STOCKHOLMTotal 731726 100.0 349484 100.0 382242 100.0Under 1 year 4246 0.6 2180 0.6 2066 0.51-4 33011 4.5 16942 4.8 16069 4.25·9 41344 5.7 21131 6.0 20213 5.310-14 33987 4.6 17434 5.0 16553 4.315-19 31442 4.3 15915 4.6 15527 4.120-24 44639 6.1 20828 6.0 23811 6.225·29 69597 9.5 33828 9.7 35769 9.430-34 71644 9.8 36361 10.4 35283 9.235-39 58620 8.0 30204 8.6 28416 7.440-44 51642 7.1 26761 7.7 24881 6.545-49 47795 6.5 24375 7.0 23420 6.150-54 49479 6.8 24667 7.1 24812 6.555-59 36937 5.0 18292 5.2 18845 4.960-64 27389 3.7 12764 3.7 14625 3.865-69 26445 3.6 11437 3.3 15008 3.9

198

8. Population in cities by sex and age: latest available year (con,tinued)

(See notes at end 01 table,)


Number Percent Number Percent Number Percent70-74 29404 4.0 12045 3.4 17359 4.575-79 30618 4.2 118n 3.4 18741 4.980+ 43540 6.0 12468 3.6 31072 8.1GoteborgTotal 458103 100.0 224034 100.0 234069 100.0Under 1 year 2632 0.6 1351 0.6 1281 0.51-4 20787 4.5 10708 4.8 10079 4.35-9 27328 6.0 14005 6.3 13323 5.710-14 23165 5.1 12023 5.4 11142 4.815-19 220n 4.8 11287 5.0 10790 4.620-24 34424 7.5 16689 7.4 ln35 7.625-29 42n8 9.3 21442 9.6 21336 9.130-34 40507 8.8 21100 9.4 19407 8.335-39 32722 7.1 17129 7.6 15593 6.740-44 30199 6.6 15434 6.9 14765 6.345-49 29301 6.4 14741 6.6 14560 6.250-54 30357 6.6 15329 6.8 15028 6.455-59 23655 5.2 11955 5.3 11700 5.060-64 18995 4.1 9242 4.1 9753 4.265-69 18047 3.9 8340 3.7 9707 4.170-74 18330 4.0 7989 3.6 10341 4.475-79 18535 4.0 7541 3.4 10994 4.780+ 24313 5.3 n54 3.5 16559 7.1MalmoTotal 253157 100.0 121275 100.0 131862 100.0Under 1 year 1400 0.6 725 0.6 675 0.51-4 11398 4.5 5858 4.8 5540 4.25-9 15366 6.1 7884 6.5 7482 5.710-14 13379 5.3 6847 5.6 6532 5.015-19 12371 4.9 6334 5.2 6037 4.620-24 16675 6.6 7813 6.4 8862 6.725-29 20182 8.0 9955 8.2 10227 7.830-34 20741 8.2 10587 8.7 10154 7.735-39 17n2 7.0 9247 7.6 8525 6.540-44 16316 6.4 8463 7.0 7853 6.045-49 16095 6.4 8151 6.7 7944 6.050·54 16021 6.3 7948 6.6 8073 6.155-59 13530 5.3 6616 5.5 6914 5.260-64 11885 4.7 5596 4.6 6289 4.865-69 11630 4.6 5245 4.3 6385 4.870-74 11806 4.7 4942 4.1 6864 5.275-79 11332 4.5 4495 3.7 6837 5.280+ 15309 6.0 4594 3.8 10715 8.1UppsalaTotal 186637 100.0 90643 100.0 95994 100.0Under 1 year 1043 0.6 544 0.6 499 0.51-4 9082 4.9 4659 5.1 4423 4.65-9 13178 7.1 6756 7.5 6422 6.710-14 11573 6.2 5943 6.6 5630 5.915·19 10763 5.8 5381 5.9 5382 5.620-24 15969 8.6 7343 8.1 8626 9.025·29 16438 8.8 8225 9.1 8213 8.630-34 14938 8.0 7514 8.3 7424 7.735·39 12873 6.9 6378 7.0 6495 6.840-44 12787 6.9 6293 6.9 6494 6.845-49 12950 6.9 6432 7.1 6518 6.850-54 13601 7.3 6785 7.5 6816 7.1

199




Number Percent Number Percent Number Percent55-59 9625 5.2 4788 5.3 4837 5.060-64 7067 3.8 3435 3.8 3632 3.865-69 6009 3.2 2742 3.0 3267 3.470-74 5825 3.1 2583 2.8 3242 3.475-79 5456 2.9 22n 2.5 3179 3.380+ 7509 4.0 2593 2.9 4916 5.1

Switzerland, 1990

BERNETotal 136338 100.0 62868 100.0 73470 100.0Under 1 year 1119 0.8 568 0.9 551 0.71-4 3930 2.9 2068 3.3 1862 2.55-9 4525 3.3 2237 3.6 2288 3.110-14 4587 3.4 2341 3.7 2246 3.115-19 6145 4.5 3033 4.8 3112 4.220-24 11946 8.8 5662 9.0 6284 8.625-29 14008 10.3 7225 11.5 6783 9.230-34 11470 8.4 5901 9.4 5569 7.635-39 9668 7.1 4792 7.6 4876 6.640-44 9280 6.8 4702 7.5 4578 6.245-49 8928 6.5 4350 6.9 4578 6.250-54 7347 5.4 3487 5.5 3860 5.355-59 7428 5.4 3328 5.3 4100 5.660-64 7531 5.5 31n 5.1 4354 5.965-69 7461 5.5 2982 4.7 4479 6.170-74 6462 4.7 2513 4.0 3949 5.475-79 6159 4.5 2155 3.4 4004 5.480+ 8344 6.1 2347 3.7 5997 8.2ZurichTotal 365043 100.0 175082 100.0 189961 100.0Under 1 year 2785 0.8 1476 0.8 1309 0]1-4 10912 3.0 5607 3.2 5305 2.85-9 12581 3.4 6391 3.7 6190 3.310-14 11739 3.2 6010 3.4 5729 3.015-19 14868 4.1 7536 4.3 7332 3.920-24 31721 8.7 16929 9.7 14792 7.a25-29 38040 10.4 20752 11.9 17288 9.130-34 31589 8.7 16693 9.5 14896 7.835-39 27007 7.4 13822 7.9 13185 6.940-44 25413 7.0 12950 7.4 12463 6.645-49 24166 6.6 12098 6.9 12068 6.450-54 21335 5.8 10271 5.9 11064 5.855-59 21265 5.8 9963 5.7 11302 5.960-64 20975 5.7 9189 5.2 11786 6.265-69 19361 5.3 7929 4.5 11432 6.070-74 15463 4.2 6070 3.5 9393 4.975-79 14955 4.1 5194 3.0 9761 5.180+ 20868 5.7 6202 3.5 14666 7.7

GenevaTotal 178428 100.0 85062 100.0 93366 100.0Under 1 year 1515 0.8 747 0.9 768 0.81-4 57n 3.2 2890 3.4 2887 3.15-9 6585 3.7 3382 4.0 3203 3.410-14 6011 3.4 3130 3.7 2881 3.115-19 7581 4.2 3903 4.6 3678 3.920-24 13703 7.7 7011 8.2 6692 7.225-29 17348 9.7 9218 10.8 8130 8.730-34 15116 8.5 8050 9.5 7066 7.6

200

---------------------------------------------------------




Number Per cent Number Percent Number Percent35-39 12868 7.2 6710 7.9 6158 6.640-44 12522 7.0 6440 7.6 6082 6.545-49 11970 6.7 6051 7.1 5919 6.350-54 10558 5.9 5126 6.0 5432 5.855-59 10608 5.9 4966 5.8 5642 6.060-64 10662 6.0 4782 5.6 5880 6.365-69 9644 5.4 4048 4.8 5596 6.070-74 7621 4.3 2994 3.5 4627 5.075-79 n07 4.3 2721 3.2 4986 5.380+ 10632 6.0 2893 3.4 n39 8.3BaleTotal 171042 100.0 80517 100.0 90525 100.0Under 1 year 1798 1.1 942 1.2 856 0.91-4 6624 3.9 3333 4.1 3291 3.65-9 6981 4.1 3546 4.4 3435 3.810-14 6829 4.0 3505 4.4 3324 3.715-19 7852 4.6 3905 4.8 3947 4.420-24 13386 7.8 6275 7.8 7111 7.925·29 17256 10.1 8620 10.7 8636 9.530-34 15815 9.2 8105 10.1 nl0 8.535-39 13640 8.0 6949 8.6 6691 7.440-44 12783 7.5 6285 7.8 6498 7.245-49 12043 7.0 5824 7.2 6219 6.950-54 10155 5.9 4990 6.2 5165 5.755-59 9608 5.6 4533 5.6 5075 5.660-64 8759 5.1 3924 4.9 4835 5.365-69 8047 4.7 3308 4.1 4739 5.270-74 5906 3.5 2347 2.9 3559 3.975-79 5573 3.3 1873 2.3 3700 4.180+ 7987 5.3 2253 2.8 5734 6.3Yugoslavia, 1991BEOGRADTotal 1168454 100.0 558891 100.0 609563 100.00-4 56524 4.8 28911 5.2 27613 4.55-9 68342 5.8 35236 6.3 33106 5.410-14 74028 6.3 38215 6.8 35813 5.915-19 72364 6.2 36672 6.6 35692 5.920-24 73126 6.3 36324 6.5 36802 6.025-29 73709 6.3 35534 6.4 38175 6.330-34 79692 6.8 37481 6.7 42211 6.935-39 100315 8.6 46866 8.4 53449 8.840-44 99412 8.5 45585 8.2 53827 8.845-49 63688 5.5 29690 5.3 33998 5.650-54 80611 6.9 38325 6.9 42286 6.955-59 82529 7.1 40061 7.2 42468 7.060-64 73538 6.3 33576 6.0 39962 6.665-69 58118 5.0 25531 4.6 32587 5.370-74 23905 2.0 10258 1.8 13647 2.275-79 19n1 1.7 7934 1.4 11837 1.980+ 18040 1.5 6489 1.2 11551 1.9Not Stated 50742 4.3 26203 4.7 24539 4.0

NoviSadTotal 179626 100.0 84626 100.0 95000 100.0Q-4 9268 5.2 4656 5.5 4612 4.95-9 11243 6.3 5n2 6.8 5471 5.810-14 12273 6.8 6244 7.4 6029 6.315-19 11743 6.5 5968 7.1 5n5 6.1

201




Number Percent Number Percent Number Percent20-24 11381 6.3 5592 6.6 5789 6.125-29 11846 6.6 5707 6.7 6139 6.530-34 12647 7.0 5903 7.0 6744 7.135-39 15738 8.8 7245 8.6 8493 8.940-44 16108 9.0 7403 8.7 8705 9.245-49 10755 6.0 4906 5.8 5849 6.250-54 13235 7.4 6215 7.3 7020 7.455-59 12748 7.1 6287 7.4 6461 6.860-64 10991 6.1 4927 5.8 6064 6.465-69 8614 4.8 3638 4.3 4976 5.270-74 3978 2.2 1558 1.8 2420 2.575-79 3254 1.8 1222 1.4 2032 2.180+ 2799 1.6 881 1.0 1918 2.0Not Stated 1005 0.6 502 0.6 503 0.5NisTotal 246184 100.0 121441 100.0 124743 100.00-4 14547 5.9 7426 6.1 7121 5.75·9 16181 6.6 8254 6.8 7927 6.410-14 16809 6.8 8697 7.2 8112 6.515-19 16453 6.7 8383 6.9 8070 6.520-24 15902 6.5 n89 6.4 8113 6.525-29 16740 6.8 81n 6.7 8563 6.930-34 17860 7.3 8916 7.3 8944 7.235·39 21263 8.6 10512 8.7 10751 8.640-44 20825 8.5 10402 8.6 10423 8.445-49 14901 6.1 7406 6.1 7495 6.050-54 17125 7.0 8572 7.1 8553 6.955-59 17395 7.1 8629 7.1 8766 7.060-64 15000 6.1 7081 5.8 7919 6.365-69 11485 4.7 5221 4.3 6264 5.070-74 5332 2.2 2397 2.0 2935 2.475-79 3599 1.5 1505 1.2 2094 1.780+ 3496 1.4 1430 1.2 2066 1.7Not Stated 1271 0.5 644 0.5 627 0.5

KragujevacTotal 180084 100.0 88212 100.0 91872 100.00-4 11251 6.2 5685 6.4 5566 6.15·9 12789 7.1 6549 7.4 6240 6.810-14 13682 7.6 7070 8.0 6612 7.215-19 12673 7.0 6305 7.1 6368 6.920-24 11230 6.2 5488 6.2 5742 6.325·29 11860 6.6 5745 6.5 6115 6.730-34 14934 8.3 7159 8.1 7n5 8.535-39 17637 9.8 8830 10.0 8807 9.640-44 14798 8.2 7457 8.5 7341 8.045-49 9228 5.1 4663 5.3 4565 5.050-54 11325 6.3 5748 6.5 55n 6.155-59 11768 6.5 5876 6.7 5892 6.460-64 10142 5.6 4725 5.4 5417 5.965-69 7426 4.1 3174 3.6 4252 4.670-74 3158 1.8 1285 1.5 1873 2.075-79 2597 1.4 1007 1.1 1590 1.780+ 2912 1.6 1136 1.3 ln6 1.9Not Stated 674 0.4 310 0.4 364 0.4

202



OCEANIA

Both sexes

Number Percent

Male

Number Percent

Female

Number Percent

Australia, 1998SydneyTotal 3981641 100.0 1974492 100.0 2007149 100.00-4 270480 6.8 138787 7.0 131693 6.65-9 265320 6.7 136232 6.9 129088 6.410-14 257590 6.5 131996 6.7 125594 6.315-19 270825 6.8 138826 7.0 131999 6.620-24 305981 7.7 153857 7.8 152124 7.625-29 341647 8.6 169767 8.6 171880 8.630-34 321568 8.1 161431 8.2 160137 8.035-39 326223 8.2 164513 8.3 161710 8.140-44 296097 7.5 148455 7.5 149642 7.545-49 275736 6.9 137417 7.0 138319 6.950-54 249139 6.3 127010 6.4 122129 6.155-59 181993 4.6 92961 4.7 89032 4.460-64 149008 3.7 74486 3.8 74522 3.765-69 136434 3.4 65761 3.3 70673 3.570-74 124886 3.1 56009 2.8 688n 3.475-79 98089 2.5 40918 2.1 57171 2.880+ 108625 2.7 36066 1.8 72559 3.6MelbourneTotal 3367005 100.0 1659114 100.0 1707891 100.00-4 220920 6.6 113533 6.8 107387 6.35·9 2226n 6.6 114026 6.9 108651 6.410-14 215672 6.4 109917 6.6 105755 6.215-19 227020 6.7 115687 7.0 111333 6.520·24 266201 7.9 134216 8.1 131985 7.725-29 291828 8.7 145179 8.8 146649 8.630-34 271969 8.1 134665 8.1 137304 8.035-39 270787 8.0 134961 8.1 135826 8.040-44 249475 7.4 123066 7.4 126389 7.445-49 230357 6.8 112956 6.8 117401 6.950-54 207nl 6.2 103744 6.3 104027 6.155-59 156266 4.6 78863 4.8 n403 4.560-64 131874 3.9 64962 3.9 66912 3.965-69 120803 3.6 58322 3.5 62481 3.770-74 108933 3.2 49480 3.0 59453 3.575-79 82473 2.4 34517 2.1 47956 2.880+ 91979 2.7 31000 1.9 60979 3.6BrisbaneTotal 1573304 100.0 n8193 100.0 795111 100.00-4 107610 6.8 55217 7.1 52393 6.65-9 109405 7.0 55678 7.2 53727 6.810-14 109170 6.9 55933 7.2 53237 6.815-19 120167 7.6 61067 7.8 59100 7.420-24 130249 8.3 65292 8.4 64957 8.225-29 132526 8.4 65954 8.5 66572 8.430·34 118929 7.6 59291 7.6 59638 7.535-39 123419 7.8 60875 7.8 62544 7.940-44 116305 7.4 57311 7.4 58994 7.4

45-49 112665 7.2 56104 7.2 56561 7.150-54 99391 6.3 50374 6.5 49017 6.255-59 69553 4.4 35799 4.6 33754 4.260-64 53970 3.4 26929 3.5 27041 3.465-69 48764 3.1 23500 3.0 25264 3.270-74 44660 2.8 20021 2.6 24639 3.1

203




Number Percent Number Percent Number Percent75-79 35979 2.3 14986 1.9 20993 2.680+ 40542 2.6 13862 1.8 26680 3.4Adelaide

Total 108nl0 100.0 532675 100.0 555035 100.00-4 67125 6.2 34423 6.5 32702 5.95-9 68648 6.3 35175 6.6 33473 6.010-14 70461 6.5 36046 6.8 34415 6.215-19 73563 6.8 37419 7.0 36144 6.520-24 80340 7.4 40866 7.7 39474 7.125-29 83147 7.6 42135 7.9 41012 7.430-34 79929 7.3 40023 7.5 39906 7.235-39 84784 7.8 41955 7.9 42829 7.740-44 80503 7.4 39478 7.4 41025 7.445-49 n452 7.1 37866 7.1 39586 7.150-54 69081 6.4 34040 6.4 35041 6.355-59 51531 4.7 25509 4.8 26022 4.760-64 44631 4.1 21595 4.1 23036 4.265-69 43299 4.0 20551 3.9 22748 4.170-74 42620 3.9 19370 3.6 23250 4.275-79 33667 3.1 13975 2.6 19692 3.580+ 36929 3.4 12249 2.3 24680 4.4Guam,l990DededoTotal 31728 100.0 16250 100.0 15478 100.0Under 1 year 640 2.0 306 1.9 334 2.21-4 2967 9.4 1490 9.2 14n 9.55-9 3357 10.6 1693 10.4 1664 10.810-14 3153 9.9 1602 9.9 1551 10.015-19 3091 9.7 1631 10.0 1460 9.420-24 3103 9.8 1645 10.1 1458 9.425-29 2781 8.8 1403 8.6 1378 8.930-34 2522 7.9 1302 8.0 1220 7.935-39 2148 6.8 1081 6.7 1067 6.940-44 1898 6.0 964 5.9 934 6.045-49 1359 4.3 714 4.4 645 4.250-54 1260 4.0 630 3.9 630 4.155-59 1068 3.4 534 3.3 534 3.560-64 988 3.1 528 3.2 460 3.065-69 709 2.2 393 2.4 316 2.070-74 376 1.2 191 1.2 185 1.275-79 175 0.6 90 0.6 85 0.580+ 133 0.4 53 0.3 80 0.5

Tamunlng

Total 16673 100.0 9409 100.0 7264 100.0Under 1 year 259 1.6 138 1.5 121 1.71-4 1222 7.3 653 6.9 569 7.85-9 1210 7.3 610 6.5 600 8.310-14 1043 6.3 516 5.5 527 7.315-19 1047 6.3 512 5.4 535 7.420-24 1380 8.3 698 7.4 682 9.425-29 1921 11.5 1104 11.7 817 11.230-34 1831 11.0 10n 11.4 754 10.435-39 1684 10.1 1055 11.2 629 8.740-44 1424 8.5 897 9.5 527 7.345-49 968 5.8 646 6.9 322 4.450-54 795 4.8 467 5.0 328 4.555-59 647 3.9 352 3.7 295 4.1

204




Number Percent Number Percent Number Percent60-64 535 3.2 300 3.2 235 3.265-69 342 2.1 196 2.1 146 2.070-74 183 1.1 93 1.0 90 1.275-79 106 0.6 53 0.6 53 0.780+ 76 0.5 42 0.4 34 0.5YlgoTotal 14213 100.0 7562 100.0 6651 100.0Under 1 year 368 2.6 178 2.4 190 2.91-4 1408 9.9 705 9.3 703 10.65-9 1534 10.8 775 10.2 759 11.410-14 1177 8.3 614 8.1 563 8.515-19 1130 8.0 575 7.6 555 8.320-24 1743 12.3 1013 13.4 730 11.025-29 1801 12.7 998 13.2 803 12.130-34 1351 9.5 705 9.3 646 9.735-39 1164 8.2 631 8.3 533 8.040-44 728 5.1 415 5.5 313 4.745-49 431 3.0 225 3.0 206 3.150-54 374 2.6 190 2.5 184 2.855-59 334 2.3 169 2.2 165 2.560-64 275 1.9 159 2.1 116 1.765-69 217 1.5 124 1.6 93 1.470-74 86 0.6 44 0.6 42 0.675-79 53 0.4 21 0.3 32 0.5,80+ 39 0.3 21 0.3 18 0.3Santa RitaTotal 11857 100.0 7347 100.0 4510 100.0Under 1 year 241 2.0 115 1.6 126 2.81-4 1095 9.2 560 7.6 535 11.95-9 1050 8.9 529 7.2 521 11.610-14 789 6.7 399 5.4 390 8.615-19 1093 9.2 766 10.4 327 7.320-24 2280 19.2 1832 24.9 448 9.925-29 1518 12.8 945 12.9 573 12.730-34 1292 10.9 808 11.0 484 10.735-39 961 8.1 576 7.8 385 8.540-44 520 4.4 301 4.1 219 4.945-49 251 2.1 139 1.9 112 2.550-54 222 1.9 115 1.6 107 2.455-59 163 1.4 78 1.1 85 1.960-64 151 1.3 83 1.1 68 1.565-69 107 0.9 49 0.7 58 1.370-74 64 0.5 27 0.4 37 0.875-79 38 0.3 15 0.2 23 0.580+ 22 0.2 10 0.1 12 0.3Pltcalm,l998ADAMSTOWNTotal 44 100.0 23 100.0 21 100.00-4 2 4.3 2 8.75-9 2 4.3 1 4.3 1 4.810-14 4 8.7 3 13.0 1 4.815-19 2 4.3 1 4.3 1 4.820-24 2 4.3 1 4.3 1 4.835-39 5 10.9 3 13.0 2 9.540-44 7 15.2 4 17.4 3 14.345-49 3 6.5 1 4.3 2 9.550-54 1 2.2 1 4.3

205




Number Percent Number Percent Number Per cent

55-59 2 4.3 2 9.5

60-64 4 8.7 2 8.7 2 9.570-74 6 13.0 2 8.7 4 19.0

75-79 2 4.3 1 4.3 1 4.8

80+ 2 4.3 1 4.3 1 4.8

Tonga, 1996NUKU'ALOFATotal 22400 100.0 11118 100.0 11282 100.00-4 2923 13.0 1509 13.6 1414 12.5

5-9 2669 11.9 1367 12.3 1302 11.5

10-14 2721 12.1 1387 12.5 1334 11.8

15-19 2579 11.5 1283 11.5 1296 11.5

20-24 2192 9.8 1090 9.8 1102 9.8

25-29 1827 8.2 922 8.3 905 8.0

30-34 1461 6.5 750 6.7 711 6.3

35-39 1175 5.2 538 4.8 637 5.6

40-44 1019 4.5 490 4.4 529 4.7

45-49 818 3.7 389 3.5 429 3.850-54 728 3.3 331 3.0 397 3.555-59 655 2.9 312 2.8 343 3.060-64 552 2.5 262 2.4 290 2.665-69 436 1.9 194 1.7 242 2.170-74 282 1.3 140 1.3 142 1.3

75+ 363 1.6 154 1.4 209 1.9

NOTES


2 Including data for East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967.

3 Designation and data provided by Israel. The position of the United Nations on the question of Jerusalem is contained in General Assembly resolution 181 (II) andsubsequent resolutions of the General Assembly and the Security Council conceming this question.

• Data as reported; the total differs from the sum of categories.

• Age group categories shown as reported.

206

9. Percentage of population residing in urban areas, 1990-2030: ,country or area

Technical notes

Definitions and source

The source of data for this table is United Nations Population Division's publication World Urbanization Prospects The 1999 RevisionJL . The method used for projecting city populations is presented in detail in Patterns of Urbanand Rural Population Growth g£ and also in Estimates and Projections of Urban, Rural and City Populations, 19502025: The 1980 Assessment~.

In preparing a global accounting of urban and rural growth, there are numerous problems of data and definition.The criteria for identifying the phenomenon under study are not obvious nor are they necessarily constant fromcountry to country. Moreover, evidence on levels and trends in urbanization does not accumulate continuously;estimates of urban and rural growth must rely heavily on information from widely spaced population censuses.

Since national statistical offices are in the best position to distinguish between urban and rural areas in their owncountry, estimates are based on urban areas desi~nated by the country under review. National figures areadjusted whenever a change in national urban definition occurs. Such an adjustment avoids the erratic dips andpeaks in urban and rural growth that may be produced by definitional change. These irregularities become moreproblematic when recent growth trends are projected into the future. Therefore, all figures were adjusted to makethe definitions as comparable as possible within a particular country. When possible, earlier data were adjusted tothe later definition. Occasionally, it was necessary to use a definition that was not nationally adopted in order tomaximize comparability over time.

1990 1995 2000 2005 2010 2015 2020 2025 2030

(OLeast developed regions .Less developed regions .More developed regions)

80 .

Basically, the method used by the UnitedNations Population Division to projecturban population involves

Examination of the levels and trends in urbanization on a regional or global level requires estimates for countriesat the same point in time. These time points would correspond to the mid-years of 1980, 1985, 1990 - 2025. Sincethe dates at which countries conduct censuses or make population estimates vary widely it is necessary to prepareestimates for uniform sequences and dates. The method is relatively simple. When a desired date for estimationin a particular country was bounded by two censuses, the nearest census on either side of the estimation datewas identified and the calculatedintercensal difference between the urban Percentage of urban population, 1990-2030and rural growth rates was assumed to 100 ,--------------------------,have remained constant during theintercensal period. The urban proportionof the desired date was derived throughthis assumption. When the desiredestimation date was not bounded by twocensuses or other concrete estimates, thetwo nearest observations were identified 60 . .and the measured intercensal urban/ruralgrowth difference between them wasapplied forward or backward in time, asrequired. One advantage of working with 40 .urban/rural Qrowth difference is that itshows conSiderable stability over a widerange of conditions. A second advantageis that it can be computed directly from 20the proportions urban that are recorded intwo censuses, rather than from absolutenumbers. Hence, it is relatively insensitive 0to changes in the completeness of censusenumeration.

UUnited Nations DESA Working Papers. ESAJPIWP.161

! United Nations Publication No. E.79.XIII.9. New York. 1980

!United Nations Publication ST/ESAlSER.Rl45, New York, 1982

207

extrapolating into the future the most recently observed urban/rural growth difference. This procedure results in alogistic time path of the proportion urban which has a peak of velocity (annual absolute gain in proportion urban) ata proportion 0.5 and has a maximum urban proportion 1.0, eventually to be reached by all countries or areas.

The procedure was modified, since the most important source of difference between urban and rural growth ratesis net rural/urban migration. As the urban proportion increases, it therefore becomes more and more difficult tomaintain a particular urban/rural growth difference because the pool of potential migrants to urban areas declinesas a fraction of the urban population, while the pool of potential migrants to rural areas increases as a fraction ofthe rural population. Therefore, it is reasonable to expect the urban-rural difference to decline as the urbanproportion rises.

The final step in the procedure described above is the application of both the estimated and the projectedproportions urban to United Nations estimates and projections of total national population.

The definitions of urban areas as applied in table 9 in some cases differ from those described in the section onGeneral Notes for this Compendium (see pages 4-5) and are listed here:

American Samoa: Places with 2,500 or more inhabitants and urbanized areas.Bahrain: Communes or villages with 2,500 or more inhabitants.Benin: Localities with 10,000 or more inhabitants.Cambodia: Municipalities of Phnom Penh, Bokor and Kep, and 13 urban centres.Cayman Islands: Entire population.Chad: Ten urban centres.East Timor: Dili.Eritrea: Localities with 2,000 or more inhabitants.Fiji: Places with a population of 1,000 or more.Italy: Communes with 10,000 or more inhabitants.Jordan: Localities with 10,000 or more inhabitants and each subdistrict centre irrespective of size of population.Kiribati: Tarawa.Kuwait: Agglomerations of 10,000 or more inhabitants.Lao People's Democratic Republic: Sum of five largest towns: Vientiane, Luang Prabang, Savannakhet,Kammouan and Pakse.Lesotho: The district headquarters and other settlements of rapid population growth with facilities that tend toencourage people to engage in more activities that are non-agricultural in nature, as nuclei.Marshal/Islands: The entire population of Majuro atoll and Ebeye on Kwajalein atoll.Micronesia (Federated State of): Localities with 1,000 or more inhabitants.Monaco: City of Monaco.Mozambique: Conselho of Maputo and Beira.Nauru: Nauru.Netherlands Antil/es: Population of urban agglomeration of Willemstad and Philipsburg and Kralendijk.Niger: Urban centres (27 towns).Nigeria: Towns with 20,000 or more inhabitants whose occupations are not mainly agrarian.Niue: Alofi.Northern Mariana Islands: Places with a population of 1,000 or more.Oman: Two main towns, Muscat and Matrah.Palau: Koror.Pitcairn: No urban population.Qatar: Not available.S1. Pierre and Miquelon: St. Pierre.Sao Tome and Principe: Sao Tome and Pantufo.Saudi Arabia: Cities with 5,000 or more inhabitants.Sierra Leone: Towns with 2,000 or more inhabitants.Singapore: City of Singapore.Slovakia: LarQ,e towns, usually with 5,000 or more inhabitants, having a density of more than 100 persons perhectare of built-up area, three or more living-quarters in at least 15 per cent of the houses, piped water and asewerage system in the major part of the town, at least five physicians and a pharmacy, a nine-year secondaryschool, a hotel of at least 20 beds, a network of trade and distributive services which serve more than one town,job opportunities for the population of the surrounding area, the terminal for a omnibus system and not more than10 per cent of the total population active in agriculture; small towns usually with 2,000 or more inhabitants, havinga density of more than 75 persons per hectare of bUilt-up area, three or more living-quarters in at least 10 per centof the houses, piped water and a sewerage system for a least part of the town at least two physicians and apharmacy, other urban characteristics to a lesser degree and not more than 15 per cent of the total populationactive in agriculture; and agglomerated communities having the characteristics of small towns in regard to size,

208

population density, housing, water-supply and sewerage, and the percentage of the population active inagriculture, but lacking such town characteristics as educational facilities, cultural institutions, health services andtrade and distributive services, because those facilities and services are supplied by a town in the vicinity.Somalia: Towns with 5,000 or more inhabitants.Spain: Municipalities with 10,000 or more inhabitants.Turks and Caicos Islands: Grand Turk.Tuvalu: Funafuti.

209

9. Percentage of population residing in urban areas, 1990-2030: country or area

(Sea notes at end of table.)

1990 1995 2000 2005 2010 2015 2020 2025 2030

WORLD 43.5 45.2 47.0 49.0 51.1 53.4 55.7 58.0 60.3

MORE DEVELOPED REGIONS' 73.8 74.9 76.0 n.2 78.4 79.7 81.1 82.3 83.5

LESS DEVELOPED REGIONS 2 35.1 37.4 39.9 42.5 45.2 48.0 50.8 53.5 56.2

LEAST DEVELOPED COUNTRIES' 20.7 23.3 26.0 28.9 32.0 35.1 38.2 41.3 44.5

Burundi 6.3 7.5 9.0 10.6 12.5 14.5 16.7 19.2 21.9Comoros 27.9 30.4 33.2 36.2 39.4 42.6 45.9 49.1 52.2Djibouti 80.2 82.1 83.3 84.4 85.4 86.3 87.2 88.0 88.8Eritrea 15.8 17.1 18.7 20.8 23.2 26.2 29.3 32.5 35.7Ethiopia 13.4 15.4 17.6 20.1 22.9 25.8 28.8 32.0 35.3Kenya 24.1 28.6 33.1 37.4 41.2 44.5 47.8 50.9 54.0Madagascar 23.5 26.5 29.6 32.9 36.3 39.7 43.0 46.3 49.5Malawi 13.3 18.4 24.9 31.8 38.4 44.1 48.7 51.8 54.8Mauritius' 40.5 40.5 41.3 42.9 45.3 48.6 51.7 54.7 57.6Mozambique 26.6 33.8 40.2 45.2 48.4 51.5 54.5 57.4 60.2R6union 63.9 67.7 70.9 73.5 75.6 n.2 78.7 80.1 81.4Rwanda 5.3 5.7 6.2 6.8 7.7 8.9 10.4 12.2 14.2Seychelles 53.5 59.1 63.8 67.5 70.4 72.3 74.2 75.9 n.5Somalia 24.2 25.6 27.5 29.8 32.6 35.9 39.2 42.5 45.8Uganda 11.2 12.5 14.2 16.0 18.2 20.7 23.5 26.4 29.5United Republic of Tanzania 20.8 26.9 32.9 38.3 42.8 46.1 49.3 52.4 55.4Zambia 39.4 39.2 39.6 40.8 42.6 45.2 48.4 51.5 54.6Zimbabwe 28.4 31.8 35.3 38.9 42.5 45.9 49.1 52.2 55.2

MIDDLE AFRICA 31.1 33.0 35.4 38.1 41.2 44.2 47.2 50.2 53.2Angola 27.6 31.0 34.2 37.5 40.8 44.1 47.4 50.5 53.6Cameroon 40.3 44.7 48.9 52.7 56.0 58.9 61.5 64.1 66.4Centrel African Republic 37.5 39.1 41.2 43.7 46.5 49.7 52.8 55.8 58.6Chad 21.1 22.2 23.8 25.7 28.1 30.9 34.2 37.5 40.8Congo 53.4 58.4 62.5 65.7 68.0 70.1 72.1 73.9 75.7Democretic Republic of the Congo 27.9 28.7 30.3 32.7 36.0 39.3 42.6 45.9 49.1Equatorial Guinea 35.7 42.2 48.2 53.5 57.9 61.4 63.9 66.3 68.6Gabon 68.1 75.9 81.4 85.1 87.5 88.9 89.6 90.3 90.9Sao Tome and Principe 38.9 42.9 46.7 50.2 53.2 56.2 59.0 61.7 64.2

NORTHERN AFRICA 45.3 48.0 50.8 53.5 56.2 58.9 61.4 63.9 66.2Algeria 52.4 56.6 60.3 63.5 66.2 68.5 70.6 72.5 74.4Egypt 44.1 44.4 45.2 46.6 48.7 51.2 54.2 57.1 59.9Libyan Arab Jamahiriya 81.8 85.3 87.6 89.0 89.7 90.3 90.9 91.5 92.0Morocco 48.2 52.1 56.1 59.7 62.9 65.6 67.9 70.0 72.0Sudan 26.6 31.3 36.1 40.7 45.0 48.7 51.8 54.8 57.7Tunisia 57.9 61.9 65.5 68.6 71.3 73.5 75.2 76.9 78.4Westem Sahara 87.8 92.8 95.4 96.8 97.5 97.9 98.0 98.1 98.2

SOUTHERN AFRICA 46.1 46.9 48.1 49.7 51.7 54.1 56.8 59.4 62.0Botswana 41.5 47.7 50.3 52.9 55.7 58.4 61.0 63.6 66.0Lesotho 20.1 24.0 28.0 31.9 35.6 38.9 42.2 45.5 48.7Namibia 26.6 28.6 30.9 33.5 36.3 39.4 42.8 46.0 49.2South Africa 48.8 49.3 50.4 51.9 53.9 56.3 59.1 61.8 64.3Swaziland 23.8 25.0 26.4 28.1 30.2 32.7 35.6 39.0 42.3

WESTERN AFRICA 32.4 36.1 39.8 43.4 46.8 50.0 52.8 55.6 58.2Benin 34.5 38.4 42.3 46.1 49.7 53.0 55.9 58.7 61.4Burkina Faso 13.6 15.9 18.5 21.3 24.3 27.4 30.5 33.7 37.0CapeVen:Je 44.2 54.2 62.2 67.9 71.6 73.5 75.3 76.9 78.4elite d'lvoire 40.3 43.3 46.4 49.5 52.5 55.5 58.3 61.0 63.6Gambia 25.7 29.0 32.5 35.9 39.2 42.5 45.8 49.0 52.1Ghena 33.9 35.9 38.4 41.3 44.5 47.8 50.9 54.0 56.9Guinea 25.7 29.2 32.8 36.3 39.6 42.9 46.2 49.4 52.5Guinea Bissau 20.0 21.7 23.7 26.1 28.7 31.7 35.0 38.3 41.6Uberia 42.0 42.0 44.9 47.9 50.9 53.9 56.8 59.6 62.2Mali 23.8 26.8 30.0 33.4 36.7 40.1 43.4 46.6 49.8Mauritania 43.5 51.2 57.7 62.8 66.3 68.6 70.7 72.6 74.4Niger 16.1 18.2 20.6 23.2 26.1 29.1 32.3 35.6 38.9Nigeria 35.0 39.5 44.0 48.2 52.0 55.4 58.2 60.9 63.5Saint Helena' 51.7 62.6 70.6 75.9 79.0 80.4 81.7 82.9 84.0Senegal 40.0 43.8 47.4 51.0 54.3 57.4 80.2 62.8 65.2Sierra Leone 30.0 33.3 36.6 40.1 43.4 46.7 49.9 52.9 55.9Togo 28.5 30.7 33.3 36.1 39.2 42.5 45.8 49.0 52.1

210

9. Percentage of population residing in urban areas, 1990-2030: country or area(continued)


1990 1995 2000 2005 2010 2015 2020 2025 2030

LATIN AMERICA AND THE CARIBBEAN 71 0 73 :3 75 3 77 0 78 i) 79 0 81 1 ,'~) ~, 8:1 <'

83.6 86.5 88.5 90.0 90.9 91.5 92.0 92.5 92.944.8 47.3 50.0 52.8 55.6 58.4 61.1 63.7 66.150.2 56.0 61.1 65.3 68.7 71.4 73.3 75.1 76.7

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.073.7 74.6 75.3 76.2 n.3 78.5 79.7 81.1 82.367.7 69.3 71.0 72.7 74.4 76.0 n.6 79.1 80.558.3 61.8 65.0 67.9 70.5 72.6 74.5 76.2 n.734.2 35.8 37.9 40.6 43.9 47.2 50.3 53.4 58.398.5 99.4 99.7 99.8 99.9 99.9 99.9 99.9 99.929.5 32.6 35.7 38.9 42.3 45.6 48.8 51.9 54.951.5 53.7 56.1 58.5 61.0 63.5 65.9 68.2 70.390.5 93.3 94.9 95.8 96.4 96.6 96.8 97.0 97.114.6 16.3 18.4 21.0 23.7 26.7 29.8 33.0 36.368.3 69.2 70.4 72.0 73.9 75.6 n.2 78.7 80.171.3 73.3 75.2 n.o 78.5 79.9 81.3 82.5 83.634.6 34.0 34.1 35.0 36.8 39.3 42.6 45.8 49.137.2 37.2 37.8 39.1 41.0 43.6 46.9 50.1 53.140.6 48.1 54.8 60.4 64.8 68.0 70.1 72.1 73.969.1 71.7 74.1 76.1 n.8 79.3 80.7 81.9 83.142.6 43.6 45.2 47.3 49.9 53.0 55.9 58.8 61.444.5 45.1 46.4 48.3 50.8 53.9 56.8 59.6 62.265.3 66.2 67.2 68.4 69.7 71.2 72.8 74.4 75.947.5 50.4 54.2 57.8 61.1 64.0 66.6 68.8 70.945.8 46.8 47.8 49.3 51.2 53.4 56.0 58.8 61.443.9 45.0 46.6 48.6 51.0 53.6 56.5 59.3 62.038.1 38.6 39.7 41.3 43.5 46.2 49.4 52.5 55.441.8 47.5 52.7 57.3 61.2 64.3 66.7 68.9 71.072.5 73.4 74.4 75.5 76.7 n.9 79.3 80.6 81.953.1 54.5 56.1 58.1 60.3 62.6 65.1 67.4 69.553.7 55.0 56.3 57.8 59.6 61.7 64.0 66.3 68.674.5 n.4 79.8 81.8 83.3 84.6 85.6 86.4 87.386.5 88.4 89.9 91.1 92.0 92.6 93.1 93.5 93.955.6 59.5 62.5 65.3 67.8 70.1 72.1 73.9 75.774.7 78.4 81.3 83.5 85.2 86.5 87.3 88.1 88.983.3 84.4 85.7 86.8 87.8 88.7 89.5 90.1 90.769.5 71.8 73.9 75.8 n.6 79.1 80.5 81.8 83.055.1 60.3 65.3 69.6 73.1 75.8 n.8 79.3 80.674.5 84.1 89.7 92.7 94.4 95.2 95.5 95.8 96.074.6 76.4 78.1 79.7 81.1 82.3 83.4 84.5 85.533.2 35.4 38.2 41.5 44.8 48.0 51.1 54.2 57.148.7 52.4 56.0 59.3 62.3 65.0 67.3 69.5 71.568.9 70.9 72.8 74.6 76.3 n.9 79.3 80.7 81.965.5 70.3 74.2 n.3 79.7 81.4 82.7 83.8 84.888.7 90.0 91.3 92.2 93.0 93.6 94.1 94.4 94.884.0 85.5 86.9 88.1 89.1 90.0 90.7 91.3 91.875.4 76.2 n.2 78.3 79.6 80.9 82.1 83.3 84.4

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.076.6 76.7 n.l n.8 78.7 79.9 81.2 82.4 83.679.4 80.9 82.0 83.2 84.2 85.2 86.2 87.1 87.990.8 91.5 92.0 92.5 93.0 93.4 93.8 94.2 94.575.2 76.1 n.2 78.4 79.7 81.0 82.2 83.4 84.5

CARIBBEANAnguillaAntigua and BarbudaArubaBahamasBarbadosBritish Virgin IslandsCayman IslandsCubaDominicaDominican RepublicGrenadaGuadeloupeHaitiJamaicaMartiniqueMontserrat

. 'Netherlands AntillesPuerto RicoSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesTrinidad and TobagoTurks and Caicos IslandsUnited States Virgin Islands

CENTRAL AMERICABelizeCosta RicaEI SalvadorGuatemalaHondurasMexicoNicaraguaPanama

SOUTH AMERICAArgentinaBoliviaBrazilChileColombiaEcuadorFalkland Islands (Malvinas)French GuianaGuyanaParaguayPeruSurinameUruguayVenezuela

NORTHERN AMERICABermudaCanadaGreenlandSaint Pierra and MiquelonUnited States of America

59.110.335.4

61.111.035.8

63.012.036.8

64.813.638.4

66.615.740.5

68.418.143.3

70.120.646.5

71.823.449.7

73.326.352.8

ASIA 32 1 34 4 3b 7 :19 <' .j 1 l) 0\.\ 7 ·\7 '" ~J t, :;:i .\

EASTERN ASIA 34.3 36.3 38.5 40.9 43.4 46.1 48.9 51.8 54.6China" 27.4 29.7 32.1 34.7 37.6 40.7 43.9 47.1 50.3China - Hong Kong, SAR 99.9 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0Korea, Democratic People's RepUblic of 58.4 59.1 60.2 61.7 63.5 65.6 67.9 70.0 72.0Japan n.4 78.1 78.8 79.6 80.5 81.5 82.6 83.7 84.8Macau 98.7 98.8 98.8 98.9 99.0 99.0 99.1 99.1 99.2Mongolia 58.0 60.8 63.5 66.0 68.4 70.5 72.4 74.3 76.0

211



1990 1995 2000 2005 2010 2015 2020 2025 2030

Korea. Republic of 73.8 78.2 81.9 84.6 86.7 88.2 89.2 89.9 90.5SOUTH-eENTRAL ASIA 27.4 28.8 30.6 32.7 35.3 38.3 41.5 44.7 47.9

Afghanistan 18.2 19.9 21.9 24.2 27.0 30.1 33.3 36.6 39.9Bangladesh 19.3 21.8 24.5 27.5 30.6 33.9 37.2 40.5 43.8Bhutan 5.2 6.0 7.1 8.4 9.9 11.6 13.5 15.6 17.9India 25.5 26.8 28.4 30.5 33.0 35.9 39.2 42.5 45.8Iran (Islamic Republic of) 56.3 59.0 61.6 64.1 66.5 68.8 70.9 72.8 74.6Kazakhstan 57.0 56.4 56.4 57.2 58.6 60.6 63.2 65.6 67.9Kyrgyzstan 37.4 34.9 33.3 33.3 33.7 35.0 37.3 40.7 44.0Maldives 25.9 25.7 26.1 27.2 29.0 31.5 34.7 38.0 41.3Nepal 8.9 10.3 11.9 13.7 15.8 18.1 20.7 23.4 26.4Pakistan 31.9 34.3 37.0 40.1 43.4 46.7 49.8 52.9 55.9Sri Lanka 21.3 22.1 23.6 25.8 28.9 32.0 35.3 38.6 41.9Tajikistan 31.7 27.5 27.5 27.5 27.8 29.5 32.7 36.0 39.3Turllmenistan 45.1 44.5 44.8 45.8 47.5 49.9 53.0 55.9 58.8Uzbekistan 40.1 38.5 36.9 36.9 37.2 38.6 40.9 44.2 47.4

SOUTH-EASTERN ASIA 30.2 33.5 37.2 40.8 44.2 47.4 50.4 53.2 55.9Brunei Darussalam 65.8 69.2 72.2 74.8 76.9 78.7 80.1 81.4 82.6Cambodia 12.6 14.2 15.9 17.9 20.2 22.8 25.6 28.7 ;31.9East Timor 7.8 7.5 7.5 7.8 8.4 9.5 11.1 13.0 15.0Indonesia 30.6 35.6 40.9 46.0 50.7 54.8 58.2 60.9 63.5Lao People's Democratic Republic 18.1 20.7 23.5 26.4 29.5 32.7 36.0 39.3 42.6Malaysia 49.8 53.7 57.4 60.8 63.8 66.4 68.6 70.7 72.7Myanmar 24.6 25.8 27.7 30.2 33.4 36.7 40.0 43.3 46.6Philippines 48.8 54.0 58.6 62.4 65.5 67.8 69.9 71,9 73.8Singapore 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0Thailand 18.7 20.0 21.6 23.7 26.2 29.3 32.5 35.8 39.1VietNam 19.7 19.4 19.7 20.6 22.1 24.3 27.3 30.4 33.7

WESTERN ASIA 62.6 66.7 70.2 72.7 74.5 75.9 n.o 78.1 79.1Armenia 67.5 68.6 70.0 71.5 73.2 75.0 76.6 78.2 79.6Azerbaijan 54.4 55.7 57.3 59.2 61.5 64.0 66.4 68.6 70.7Bahrain 87.6 90.3 92.2 93.5 94.4 95.0 95.3 95.5 95.8Cyprus 51.4 54.1 56.8 59.5 62.1 64.6 66.9 69.1 71.2GazaStrip 93.5 94.2 94.6 94.9 95.2 95.5 95.7 96.0 96.2Georgia 56.0 58.3 60.7 63.1 65.4 67.7 69.9 71.9 73;7Iraq 71.8 74.5 76.8 78.7 80.3 81.6 82.8 83.9 85.0Israel' 90.3 90.7 91.2 91.6 92.1 92.6 93.0 93.4 93.8Jordan 68.0 71.4 74.2 76.5 78.4 79.8 81.1 82.3 83.5Kuwait 95.8 97.0 97.6 97.9 98.0 98.2 98.3 98.4 98.5Lebanon 84.2 87.5 89.7 91.2 92.1 92.6 93.1 93.5 93.9Oman 62.1 75.6 84.0 88.8 91.4 92.8 93.2 93.6 94.0Qatar 89.9 91.4 92.5 93.3 93.8 94.2 94.5 94.9 95.2Saudi Arabia 78.5 82.8 85.7 87.7 89.0 89.7 90.3 90.9 91.5Syrian Arab Republic 50.2 52.2 54.5 56.9 59.5 62.1 64.6 66.9 69.1Turlley 61.2 69.2 75.3 79.7 82.6 84.5 85.5 86.4 87.3United Arab Emirates 80.9 83.8 85.9 87.3 88.1 88.8 89.5 90.2 90.8Yemen 22.8 23.6 24.7 26.3 28.5 31.2 34.4 37.7 41.0

EUROPE . 71 1 n \, 74 8 76 0 77 :3 78 6 800 81 3 82 6

EASTERN EUROPEBelarusBulgariaCzech RepublicHungaryPolandRepublic of MoldovaRomaniaRussian FederationSlovakiaUkraine

NORTHERN EUROPEChannel IslandsDenmarllEstoniaFaeroe IslandsFinland

68.366.366.574.862.061.846.953.674.056.566.983.029.584.871.133.461.4

69.868.868.074.563.063.746.154.975.957.067.483.329.585.169.935.764.4

212

71.271.269.674.764.065.646.156.2n.757.468.083.829.985.368.638.267.3

72.773.471.275.265.367.546.757.879.358.468.984.431.385.768.641.069.9

74.275.472.876.266.869.548.159.880.760.070.185.133.686.268.643.972.2

75.7n.274.5n.468.571.450.362.082.062.071.585.936.986.869.447.074.2

n.378.876.278.970.373.353.464.583.164.573.186.840.287.670.750.275.9

78.780.277.880.372.375.156.366.984.266.974.987.643.588.372.753.277.5

80.181.579.381.674.176.859.169.185.269.176.688.446.889.174.556.279.0



1990 1995 2000 2005 2010 2015 2020 2025 2030

Iceland 90.6 91.6 92.5 93.3 93.9 94.4 94.8 95.1 95.4Ireland 56.9 57.9 59.0 60.4 62.1 64.0 66.1 68.4 70.5Isle of Man 73.9 75.2 76.6 78.0 79.3 80.7 82.0 83.1 84.2Latvia 70.3 69.0 69.0 69.4 70.2 71.4 73.0 74.8 76.4Lithuania 67.8 68.1 68.4 69.1 70.1 71.4 73.0 74.8 76.5Norway 72.0 73.7 75.5 n.l 78.7 80.1 81.4 82.6 83.7Sweden 83.1 83.1 83.3 83.8 84.4 85.2 86.1 87.0 87.9United Kingdom 89.1 89.2 89.5 89.8 90.3 90.8 91.3 91.9 92.4

SOUTHERN EUROPE 63.8 65.2 66.4 67.9 69.5 71.2 73.0 74.7 76.3Albania 36.1 38.7 41.6 44.6 47.7 SO.8 53.8 56.8 59.5Andorra 94.6 93.0 93.0 93.0 93.0 93.0 93.4 93.8 94.2Bosnia and He~egovina 39.2 40.9 43.0 45.3 47.9 SO.8 53.8 56.7 59.5Croatia 54.0 55.8 57.7 59.8 62.1 64.4 66.8 69.0 71.0Gibraltar 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0Greece 58.8 59.2 60.1 61.4 63.1 65.1 67.4 69.6 71.6HolySee8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0Italy 66.7 66.6 67.0 67.8 69.1 70.7 72.7 74.5 76.2Malta 87.6 89.3 90.5 91.5 92.2 92.6 93.1 93.5 93.9Portugal 46.7 56.4 64.4 70.5 74.7 n.5 79.0 80.4 81.6San Marino 90.2 89.4 89.4 89.4 89.5 89.9 90.5 91.1 91.6Slovenia 50.4 SO.l SO.4 51.3 52.9 55.2 58.1 60.8 63.3Spain 75.4 76.5 n.6 78.8 80.1 81.3 82.5 83.6 84.7The Fmr. Yug. Rep. of Macedonia 57.8 59.9 62.0 64.2 66.4 68.5 70.6 72.6 74.4Yugoslavia 50.9 51.4 52.2 53.5 55.4 57.7 60.4 63.0 65.4

WESTERN EUROPE 80.7 81.8 82.6 83.4 84.3 85.2 86.2 87.0 87.8Austria 64.5 64.3 64.7 65.5 66.8 68.5 70.6 72.6 74.4Belgium 96.5 97.0 97.3 97.6 97.8 98.0 98.1 98.2 98.3France 74.0 74.7 75.6 76.7 78.0 79.4 80.8 82.0 83.2Germany 85.3 86.5 87.5 88.5 89.2 89.9 90.5 91.1 91.7Liechtenstein 20.1 21.0 22.6 24.9 27.9 31.0 34.3 37.6 40.9Luxembourg 86.3 89.1 91.5 93.1 94.2 94.9 95.4 95.7 95.9Monaco 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 ~00.0

Netherlands 88.7 89.0 89.4 89.8 90.3 90.8 91.4 91.9 92.4Switzerland 59.7 67.7 67.7 68.3 69.4 70.9 72.9 74.7 76.3

AU TRALIAINEW ZEALAND 85.0 84.8 84.9 85.1 85.6 86.3 87.1 87.9 88.7Australia8 85.1 84.7 84.7 84.8 85.3 86.0 86.9 87.7 88.5New Zealand 84.7 85.3 85.8 86.4 87.0 87.7 88.4 89.1 89.8

MELANESIA 20.3 21.9 23.7 25.6 27.8 30.3 33.1 36.0 39.0Fiji 41.6 45.5 49.4 53.2 56.7 59.9 62.8 65.2 67.5New Caledonia 61.6 69.8 76.9 82.0 85.4 87.6 89.0 89.7 90.3Papua New Guinea 15.0 16.0 17.4 19.1 21.2 23.7 26.7 29.8 33.0Solomon Islands 14.6 17.0 19.7 22.5 25.5 28.6 31.7 35.0 38.3Vanuatu 18.2 18.9 20.0 21.7 24.0 27.0 30.1 33.4 36.7

MICRONESIA 41.9 43.4 45.1 47.2 49.7 52.5 55.4 58.4 61.1Guam 38.2 38.3 39.2 40.9 43.4 46.7 49.9 52.9 55.9Kiribati 34.6 36.8 39.2 41.8 44.6 47.5 SO.5 53.6 56.5Marshall Islands 65.7 69.0 71.9 74.2 76.2 n.8 79.3 80.6 81.9Micronesia (Federated States of) 26.4 27.1 28.3 30.0 32.3 35.0 38.3 41.7 45.0Nauru 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0Northem Mariana Islands 52.7 52.7 52.7 53.3 54.5 56.2 58.5 61.2 63.7Palau 69.5 70.9 72.4 73.8 75.3 76.8 78.3 79.7 81.1

POLYNESIA 39.0 39.7 40.3 41.6 43.1 45.2 47.8 SO.7 53.5American Samoa 48.1 SO.3 52.7 55.3 57.9 60.6 63.2 65.6 67.9Cook Islands 57.7 58.9 59.4 60.3 61.6 63.3 65.4 67.7 69.8French Polynesia 56.1 54.4 52.7 52.7 52.9 54.0 56.0 58.8 61.5Niue 30.8 31.4 32.7 34.5 36.6 39.1 42.1 45.4 48.6Pitcairn 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0Samoa 21.0 21.0 21.5 22.6 24.4 26.7 29.8 33.1 36.3Tokelau 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0Tonga 32.6 35.2 38.0 40.9 44.0 47.1 SO.3 53.3 56.3Tuvalu 40.9 46.8 52.2 57.0 60.9 64.1 66.5 68.7 70.8Wallis and Futuna Islands 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

213

NOTES, The more developed regions comprise all regions of Europe. Northem America. Australia/New Zealand and Japan.2 The less developed regions comprise all regions of Africa. Asia (excluding Japan), Latin America and the Caribbean. Melanesia. Micronesia and Polynesia.3 The least developed countries. as defined by the United Nations General Assembly in 1998. include 48 countries: 33 in Africa. 9 in Asia. 1 in Latin America and 5 inOceania. These countries are also included in the less developed regions.• Including Agalega, Rodrigues and SI. Brandon.5 Including Ascension and Tristan de Cunha.• For statistical purposes. data for China do not include Hong Kong Special Administrative Region (SAR) of China.7 Including data for East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967.• Refers to the Vatican City State.• Including Christmas Island, Cocos (Keeling) Islands and Norfolk Island.

214

10. Urban population, number of urban agglomerations and percentage of urban populationby size of urban agglomeration: major area and region, 1980-2015 with five-year interval

Technical notes

Definitions and sources

The source of data for this table is United Nations Population Division's publication World Urbanization Prospects The 1999 RevisionU . The method used for projecting city populations is presented in detail in Patterns of Urbanand Rural Population Growth g£ and also in Estimates and Projections of Urban, Rural and City Populations, 19502025: The 1980 Assessment!!L.

100

200

300

400The designations "more developed"and "less developed" regions usedin this table are intended forstatistical convenience and do notexpress a judgement about thestage reached by a particularcountry or area in the developmentprocess.

The 48 "least developed countries",classified as such by the United 0Nations General Assembly in 1980 1985 1990 1995 2000 2005 2010 2015December 1994, are: Afghanistan,Angola, Bangladesh, Benin, Bhutan,Burkina Faso, Burundi, Cambodia, Cape Verde, Central African Republic, Chad, Comoros, Democratic Republic ofCongo, Djibouti, Equatorial Guinea, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Haiti, Kiribati, Lao People'sDemocratic Republic, Lesotho, Liberia, Madagascar, Malawi, Maldives, Mali, Mauritania, Mozambique, Myanmar,Nepal, Niger, Rwanda, Samoa, Sao Tome and Principe, Sierra Leone, Solomon Islands, Somalia, Sudan, Togo,Tuvalu, Uganda, United Republic of Tanzania, Vanuatu, Yemen, and Zambia.

The projections of the proportion of urban population residing in urban agglomerations is a complex exercise. Thenumber of cities in a particular size category changes from one projection period to the next; if cities growsufficiently, they will leave one size category and enter a larger one. Thus, these data do not refer directly to thegrowth of population in cities but rather to population growth in size classes. During periods of national populationgrowth and urbanization, the largest size class expands not only from population growth in cities that werepreviously allocated to that class, but also from cities newly entering the class. Projections for the other categoriesare even more complex because in addition to cities that have graduated into a particular class, other citiessimultaneously leave the size class. The population in the smaller size classes are not projected far into the future,for there is no way that decisions can be made on a global level as to which cities might reach 100,000 populationduring the projection period. This lack of information not only affects the smallest size class, but also hasimplications for the next larger classes, because, in the long term, the graduation of cities in the smallest categorybecomes one of the sources of ....•growth in the categories immediately Number of urban agglomerations With population over 1 millionfollowing the smallest one. Long- 600 ,..---------------------------,term projections therefore wouldseriously underestimate population 500growth in these categories.

J! United Nations OESA Working Papers. ESNPIWP.161

~ United Nations Publication No. E.79.XIII.9, New York, 1980

~ United Nations Publication ST/ESNSERRl45, New York, 1982

215

10. Urban population, number of urban agglomerations and percentage of urban populationby size of urban agglomeration: major area and region, 1980-2015 with five-year interval(continued)

WORLD TOTAL

1980 1985 1990 1995 2000 2005 2010 '2015

10 million or more

Number of agglomerations

Population (in thousands)

Percentage of urban population

5to 10 million




1 t05mlllion




500 000 to 1 million




Fe_r than 500 000


Percenta e of urban population

10 million or more




5to 10 million




1 t05mllllon







Percentage of urban populationFewer than 500 000

PopUlation (in thousands)

Percentage of urban populationLESS DEVELOPED REGIONS

5 8 12 14 19 20 20 23

75579 111 112 162863 192253 262648 296488 320551 374739

4.3 5.5 7.1 7.5 9.2 9.4 9.2 9.8

21 22 21 23 22 22 29 36

157559 161863 153073 172278 155043 162161 211 129 247839

9 8.1 6.7 6.7 5.4 5.2 6.1 6.5

208 239 293 327 370 426 469 50S"

384545 440009 534246 609596 703963 832065 928376 1005517

21.9 22 23.3 23.8 24.7 26.4 26.7 26.3

265 297 321 377 433 476 507 537

185607 207142 222291 260396 299950 327843 350771 372797

10.6 10.3 9.7 10.2 10.5 10.4 10.1 9.8

2 4 4 4 4 4 4 4

37455 59945 63628 65568 67237 67977 68502 68969

4.8 7.4 7.5 7.5 7.4 7.3 7.2 7.1

8 5 6 6 6 6 7 7

62773 38354 44233 44861 45210 45445 50736 51045

8.1 4.7 5.2 5.1 5 4.9 5.4 5.3

89 93 99 104 109 120 121 127

166 818 181 112 191 713 205706 219342 237421 239852 249844

21.6 22.4 22.6 23.4 24.3 25.6 25.3 25.8

92 101 102 112 132 134 140 141

63345 70078 70990 77850 90637 91414 96547 95797

8.2 8.7 8.4 8.9 10 9.9 10.2 9.9

443603 460200 476909 484 122 480567 483646 491994 50256857.3 56.8 56.3 55.1 53.2 52.2 51.9 51.9

10 million or more




3

38124

3.9

4

51167

4.3

8

99235

6.9

216

10

126685

7.5

15

195411

10.1

16

228511

10.3

16

252049

10

19

305170

10.7


5t010mlllion




1 t05mlllion








Fe_rthan 500 000



LEAST DEVELOPED COUNTRIES

1980 1985 1990 1995 2000 2005 2010 2015

13 17 15 17 16 16 22 29

94786 123509 108 840 127417 109833 116716 160393 196794

9.6 10.3 7.5 7.6 5.7 5.3 6.4 6.9

119 146 194 223 261 306 348 378

217727 258897 342533 403890 484621 594644 688524 755673

22.1 21.7 23.7 24 25 26.8 27.3 26.5

173 196 219 265 301 342 367 396

122262 137064 151 301 182546 209313 236429 254224 2nOOO

12.4 11.5 10.5 10.9 10.8 10.6 10.1 9.7

510208 623275 742939 841589 942878 1046185 1170237 1313832

51.9 52.2 51.4 50 48.6 47.1 46.3 46.1

10 million or more

Number of agglomerations 0 0 0 0 1 1 1 1Population (in thousands) 0 0 0 0 12317 15366 18387 21119

Percentage of urban population 0 0 0 0 7.4 7.3 7.1 6.7

5to 10 million

Number of agglomerations 0 0 1 1 1 1 3 5Population (in thousands) 0 0 6619 9416 5064 6153 18092 31684

Percentage 01 urban population 0 0 6.3 7.1 3 2.9 7 10

1 t05mlllion

Number of agglomerations 6 10 11 15 23 30 35 38Population (in thousands) 11345 19564 21009 31249 43925 62602 73614 837n

Percentage of urban population 17 23.4 20.1 23.5 26.2 29.9 28.4 26.5500 000 to 1 million

Number of agglomerations 9 10 17 24 21 20 22 25

Population (in thousands) 6430 6769 11499 16955 15142 14422 15233 17490

Percentage of urban population 9.6 8.1 11 12.7 9 6.9 5.9 5.5Fe_r then 500 000

Population (in thousands) 48954 57259 65574 75520 90973 111058 133 768 162096Percentage of urban population 73.4 68.5 62.6 56.7 54.3 53 51.6 51.3AFRICA

10 million or more


Population (in thousands) 0 0 0 10287 23979 28469 32856 36924Percentage of urban population 0 0 0 4.2 8.1 8 7.7 7.4

5to 10 million


Population (in thousands) 6852 13518 16314 9533 5064 6153 12681 25054Percentage of urban population 5.4 8.5 8.3 3.9 1.7 1.7 3 5

1 to 5 million



Percentage of urban population 16.9 18.4 21.1 24.4 25.3 27 27.6 27

217






Fewer then 500 000



EASTERN AFRICA

1980 1985 1990 1995 2000 2005 2010 2015

19 23 25 32 35 41 49 5614003 15214 17085 21579 23957 28246 33099 37547

11 9.6 8.7 8.9 8.1 7.9 7.8 7.5

84887 100484 122051 142738 169020 198166 229515 266405

66.7 63.5 61.9 58.6 56.9 55.4 53.9 53.2

5to 10 million



Percentage of urban population 0 0 0 0 0 0 0 4.2

1 to 5 million



Percentage of urban population 5.6 17.1 19.4 26.1 33.4 35 36.8 33.6



Population (in thousands) 4130 3334 3974 5182 3990 48n 4902 4907

Percentage of urban population 19.6 12 10.7 10.4 6.2 6 4.9 4

Fewer than 500 000Population (in thousands)

Percenta e of urban population

5to 10 million




1 to 5 million




500 000 to 1 millionNumber of agglomerations



Fewer than 500 000



NORTHERN AFRICA

0 0 0 0 1 1 1 1

0 0 0 0 5064 6153 7630 9366

0 0 0 0 15 14.7 14.7 14.7

1 2 3 5 5 6 7 82197 4009 6051 9789 8068 11122 14512 18326

14.9 22.5 27.6 35.4 23.8 26.5 27.9 28.7

2 4 5 5 5 5 5 61445 2475 3413 3305 3507 3547 3710 4441

9.8 13.9 15.6 12 10.4 8.5 7.1 7

11070 11346 12450 14559 17220 21113 26082 3163475.2 63.6 56.8 52.6 50.9 50.3 50.2 49.6

10 million or more



Percentage of urban population 0 0 0 0 12 11.4 10.9 10.6

5to10 million


PopUlation (in thousands) 6852 7691 8572 9533 0 0 5051 5525

Percentage of urban population 15.4 14.3 13.3 12.6 0 0 4.4 4.3

218


1 to 5 million








Fe_r than 500 000



SOUTHERN AFRICA

1 to 5 million




500 000 to 1 millionNumber of agglomerations



Fewer than 500 000



WESTERN AFRICA

10 million or more




5to 10 million




1 to 5 millionNumber of agglomerations







Fewer than 500 000



ASIA

1980 1985 1990 1995 2000 2005 2010 2015

5 6 7 7 8 9 12 15

8303 10655 13326 15273 18518 22102 24046 29965

18.6 19.8 20.7 20.3 21.1 21.8 20.8 23.1

3 5 5 8 12 15 15 17

2139 3247 3195 5242 7948 10629 10224 10957

4.8 6 5 7 9 10.5 8.8 8.4

27273 32190 39290 45331 50931 57259 63717 69644

61.2 59.9 61 60.1 57.9 56.4 55.1 53.6

2 3 5 8 8 8 8 8

3163 4612 7676 12281 13787 14803 15557 16294

22.7 29.2 42.6 60.5 61.2 60.9 60 58.2

5 5 3 1 1 1 2 3

3815 3696 2412 526 612 672 1328 2015

27.4 23.4 13.4 2.6 2.7 2.8 5.1 7.2

6949 7495 7934 7502 8147 8833 9061 9678

49.9 47.4 44 36.9 36.1 36.3 34.9 34.6

0 0 0 1 1 1 1 1

0 0 0 10287 13427 16864 20192 23173

0 0 0 14.6 15.2 15.5 15.3 14.8

0 1 1 0 0 0 0 1

0 5827 7742 0 0 0 0 5068

0 13.5 13.9 0 0 0 0 3.2

3 4 5 5 7 11 13 156662 5114 7388 9159 13176 20 170 26419 29399

20.2 11.9 13.3 13 14.9 18.6 20.1 18.7

3 4 7 11 11 13 20 23

2474 2462 4091 7324 7900 8521 12935 15227

7.5 5.7 7.4 10.4 9 7.8 9.8 9.7

72.3 68.9 65.4 62.1 60.9 58 54.8 53.6

23823 29692 36405 43801 53707 63000 72062 84087

10 million or more




2

33593

4.7

3

46069

5.4

7

93957

9.1

219

7

98086

8.3

11

149661

11.1

12

175999

11.5

12

193007

11.1

15

240745

12.4


Sto 10 million




1 toSmllllon








Fe_r than 500 000



EASTERN ASIA

10 million or more




Sto 10 million




1 to 5 million







Percentage of urban populationFewer than 500 000



SOUTH·CENTRAL ASIA

1980 1985 1990 1995 2000 2005 2010 2015

11 13 11 13 12 12 17 20

79263 95693 n018 100 557 85500 89487 125032 137431

11.2 11.2 7.5 8.5 6.3 5.8 7.2 7.1

90 105 140 160 183 214 242 267

161371 187664 244660 285593 333068 403572 460000 510024

22.8 22 23.8 24.1 24.6 26.3 26.6 26.2

129 146 164 191 233 269 294 308

90525 103 061 113765 131826 160 546 185860 203833 215824

12.8 12.1 11.1 11.1 11.9 12.1 11.8 11.1

344462 421505 499851 5668n 622831 679272 750091 839221

48.6 49.4 48.6 47.9 46.1 44.3 43.3 43.2

2 3 5 5 4 4 4 5

33593 46069 70821 71025 61183 61598 62664 75044

10.4 12 15.3 13.7 10.7 9.8 9.1 10

4 4 2 2 5 5 6 6

34571 32549 14486 15193 36452 39304 47333 44972

10.7 8.5 3.1 2.9 6.4 6.3 6.9 6

58 66 83 92 100 115 128 147

93408 108278 141456 161056 176245 208605 238700 275363

28.9 28.3 30.5 31.2 30.8 33.2 34.6 36.6

71 80 97 110 148 170 184 192

50275 56323 68285 76346 100 210 117819 130008 135320

15.6 14.7 14.7 14.8 17.5 18.7 18.9 18

110818 139342 168046 193178 197583 201383 210488 222200

34.3 36.4 36.3 37.4 34.6 32 30.5 29.5

10 million or more


Population (in thousands) 0 0 23136 27061 66790 n966 89313 110985

Percentage of urban population 0 0 6.8 6.9 14.7 14.8 14.6 15.8

5 to 10 million



Percentage of urban population 13.6 13.5 10.2 13.4 7.1 6.9 8.5 8.2

1 toSmllllon


Population (in thousands) 26873 40898 55381 66286 86429 111857 131 193 146 750

Percentage of urban population 11.2 14.2 16.3 16.9 19 21.2 21.5 20.8

220


1980 1985 1990 1995 2000 2005 2010 2015





Fewer than 500 000

Population (in thousands) 149117 172645 196394 211000 233 247 258206 290 915 334 766

Percentage of urban population 62 60.1 57.9 53.7 51.2 48.9 47.6 47.5

SOUTH·EASTERN ASIA

10 million or mora




5 to 10 million




1 to 5 million








Fewer than 500 000



WESTERN ASIA

0 0 0 0 2 2 2 3

0 0 0 0 21888 25628 29193 42224

0 0 0 0 11.4 11.3 11.2 14.3

2 3 3 3 1 1 3 4

11940 18955 21519 25031 7281 8081 19883 22593

13.6 17.4 16.2 15.5 3.8 3.6 7.6 7.7

9 9 10 11 12 16 19 18

21449 19831 23121 26660 30593 38572 37887 33313

24.5 18.2 17.4 16.5 15.9 17.1 14.6 11.3

7 9 11 13 16 16 18 18

4790 5920 7195 8784 11585 11437 11670 12380

5.5 5.4 5.4 5.5 6 5.1 4.5 4.2

49451 64049 81225 100697 121340 142104 161399 184103

56.4 58.9 61 62.5 63 62.9 62.1 62.5

10 million or more



Percentage of urban population 0 0 0 0 0 7.1 6.9 6.5

5to10mmlon



Percentage of urban population 0 7.2 7 7 7.2 3.6 3.6 6.2

1 to 5 million



Percentage of urban population 33.6 24.7 26.2 28.1 30.2 29.3 3(l.4 28.5





Fewer than 500 000


Percentage of urban population 60 60.3 57.5 55.2 53.5 51.1 50.8 51.2

221


EUROPE

1980 1985 1990 1995 2000 2005 2010 2015

Stol0 million


PopUlation (in thousands) 36480 31568 37441 38017 38259 38356 38376 38376

Percentage of urban population 7.6 6.3 7.2 7.1 7 6.9 6.9 6.8

1 toS million


Population (in thousands) 95448 103 on 104552 107869 110848 117239 118076 118480

Percentage of urban population 19.8 20.6 20 20.1 20.3 21.2 21.1 20.9




Percentage of urban population 8.5 8.9 (>,.7 9.2 9.7 9 8.9 9

Fewer than 500 000

Population (in thousands) 308 452 321640 334489 340413 343112 347661 353338 358077

Percentage of urb,m population 64.1 64.2 64.1 63.5 63 62.9 63.1 63.3

EASTERN EUROPE

Stol0 million




1 to 5 million








Fewer than 500 000



NORTHERN EUROPE

1 1 2 2 2 2 2 2

8136 8580 14101 14380 14454 14484 14490 14490

4.3 4.3 6.6 6.6 6.6 6.6 6.5 6.4

22 23 24 24 24 24 24 24

34592 37086 35362 35658 35783 35974 36109 36202

18.4 18.5 16.7 16.5 16.4 16.3 16.2 16.1

26 29 32 36 38 38 38 38

17375 19348 20927 23684 25275 25644 25810 25920

9.2 9.6 9.9 10.9 11.6 11.6 11.6 11.5

127853 135630 141796 142597 143093 144 755 147021 148922

68 67.6 66.8 65.9 65.5 65.5 65.8 66

Sto 10 million



Percentage of urban population 10.5 10.2 10 9.8 9.7 9.5 9.4 9.3

1 to 5 million








Fewer than 500 000


Percentage of urban population 66.8 66.5 67 67 65.7 65.7 65.8 66.1

222


SOUTHERN EUROPE

1980 1985 1990 1995 2000 2005 2010 2015

5to 10 million




1 to 5 million








Fewer then 500 000


Percentage of urban populationWESTERN EUROPE

5 to 10 million




1 to 5 million








Fe_r then 500 000



LATIN AMERICA & CARIBBEAN

1 0 0 0 0 0 0 0

5334 0 0 0 0 0 0 0

6.3 0 0 0 0 0 0 0

9 10 10 10 11 11 11 11

22003 27117 27028 27669 29542 30 169 30570 30707

26.1 30.8 29.6 29.6 30.8 30.9 30.8 30.7

9 9 9 10 10 11 11 11

6028 6330 6648 7363 7011 7665 7792 78n

7.1 7.2 7.3 7.9 7.3 7.8 7.9 7.9

51093 545n 57571 58376 59216 59842 80m 61566

60.5 62 63.1 62.5 61.8 61.3 61.3 61.5

2 2 2 2 2 2 2 2

15269 15322 15687 15997 16165 16232 16246 16246

11.3 11.2 11 10.8 10.7 10.5 10.4 10.3

16 16 18 18 18 20 20 20

29889 29970 33298 34621 35428 37820 37969 38035

22.2 21.8 23.5 23.4 23.4 24.5 24.3 24.1

13 14 13 14 15 14 14 15

9701 10379 9252 10142 10930 9566 9666 10219

7.2 7.6 6.5 6.9 7.2 6.2 6.2 6.5

80062 81527 83731 87123 88843 90471 92246 93346

59.3 59.4 59 58.9 58.7 58.7 59.1 59.1

10 million or more


Population (in thousands) 26385 38nl 41394 55140 59028 61500 63643 65558

Percentage of urban population 11.2 14.2 13.2 15.7 15.1 14.3 13.6 13

5to 10 million



Percentage of urban population 8 5.2 5 4.9 4.9 4.9 4.9 6.8

1 to 5 million


Population (in thousands) 42344 50 112 64969 69127 88834 112046 130982 133 076

Percentage of urban population 18.1 18.4 20.8 19.6 22.7 26.1 28 26.4

223






Fewer than 500 000



CARIBBEAN

1 toS million








Fe_r than 500 000


Percentage of urban populat:on

CENTRAL AMERICA

10 million or more




Sto 10 million




1 to 5 million








Fe_r than 500 000



SOUTH AMERICA

1980 1985 1990 1995 2000 2005 2010 2015

27 29 32 47 52 56 53 60

19166 20308 22053 32435 37173 38440 37052 42318

8.2 7.4 7.1 9.2 9.5 8.9 7.9 8.4

128013 149491 168 719 lnn5 186 564 196490 213051 228923

54.6 54.8 54 50.5 47.7 45.7 45.6 45.4

3 3 4 5 5 5 5 5

4421 5019 6895 9369 10544 11646 126n 13578

28 28.1 34.3 42.4 43.9 44.8 45.3 45.3

2. 3 2 1 1 1 1 1

1226 2099 1513 621 664 712 765 822

7.8 11.7 7.5 2.8 2.8 2.7 2.7 2.7

10166 10764 11676 12100 12810 13615 14531 15592

64.3 60.2 58.1 54.8 53.3 52.4 51.9 52

1 1 1 1 1 1 1 1

13886 14474 15130 16562 18131 18452 18682 19180

25.7 22.9 20.8 20.3 19.9 18.4 16.9 16

0 0 0 0 0 0 0 1

0 0 0 0 0 0 0 5282

0 0 0 0 0 0 0 4.4

3 4 5 5 12 19 21 21

5343 7270 9853 11937 21833 33511 40365 40387

9.9 11.5 13.5 14.6 24 33.3 36.6 33.6

8 10 13 23 22 20 20 20

4930 6494 8860 16312 16425 13740 14048 14550

9.1 10.3 12.2 20 18.1 13.7 12.7 12.1

29881 34939 38880 36837 34537 34800 37168 40825

55.3 55.3 53.5 45.1 38 34.6 33.7 34

10 million or more


Population (in thousands) 12497 24297 26264 38578 40897 43048 44 961 46378


5to 10 million



Percentage of urban population 11.3 7.4 7.1 7 7 7 6.9 8.2

224


1 to 5 million








Fe_r than 500 000


Percentage of urban populationNORTH AMERICA

10 million or more




5to 10 million




1 to5mlllion








Fewer than 500 000



OCEANIA

1980 1985 1990 1995 2000 2005 2010 2015

15 19 24 25 27 31 36 36

32580 37823 48221 47821 56457 66889 n940 79111

19.8 19.7 21.9 19.3 20.5 22.1 23.7 22.3

17 16 17 23 29 35 32 39

13010 11715 11680 15502 20084 23988 22239 26946

7.9 6.1 5.3 6.2 7.3 7.9 6.8 7.6

87967 103787 118164 128838 139218 148075 161352 172506

53.4 54.1 53.8 51.9 50.5 48.9 49 48.7

1 2 2 2 2 2 2 2

15601 26272 27512 28740 29780 30520 31045 31512

8.3 13.1 12.9 12.7 12.5 12.1 11.7 11.4

2 1 1 1 1 1 2 2

16303 6786 6792 6844 6951 7089 12360 12669

8.6 3.4 3.2 3 2.9 2.8 4.7 4.6

30 31 33 36 38 40 40 44

56816 61480 68456 n126 84174 90096 88971 95634

30.1 30.7 32.2 34.1 35.2 35.8 33.7 34.5

28 33 33 35 37 37 38 36

18364 22164 22870 24215 25645 25816 26884 24879

9.7 11.1 10.8 10.7 10.7 10.3 10.2 9

81519 83378 86921 89238 92499 97978 104 953 112869

43.2 41.7 40.9 39.5 38.7 39 39.7 40.7

1 t05mllilon







Percentage of urban population 16.2 10.4 4.7 4.9 0 0 0 6.1

Fewer than 500 000


Percentage of urban population 40.1 40.3 41.9 43.3 44.1 45.3 46.8 42.5AUSTRAUA • NEW ZEALAND

1 to 5 million




226


1980 1985 1990 1995 2000 2005 2010 2015




Percentage of urban population 17.3 11.2 5.1 5.3 0 0 0 4.5

Fe_r than 500 000


Percentage of urban population 35.9 35.7 37 38 38.3 38.8 39.6 36.2

MELANESIA




Percentage of urban populationFe_r than 500 000



MICRONESIA

0 0 0 0 0 0 0 1

0 0 0 0 0 0 0 557

0 0 0 0 0 0 0 21.2

767 900 1055 1271 1531 1840 2204 2066

100 100 100 100 100 100 100 78.8

Fe_r than 500 000



POLYNESIA

Fe_r than 500 000



126

100

171

100

146

100

192

100

175

100

212

100

226

207

100

232

100

245

100

254

100

290

100

285

100

343

100

319

100

406

100

360

100

11. Percentage of total population residing in urban agglomerations with 750,000 or moreinhabitants: countries or areas, 1980-2015 with five-year interval

Technical notes


The source of data for this table is United Nations Population Division's publication World Urbanization Prospects The 1999 RevisionJL. The method used for projecting city populations is presented in detail in Patterns of Urbanand Rural Population Growth EL and also in Estimates and Projections of Urban, Rural and City Populations, 19502025: The 1980 Assessment~.

For more details on estimates and projections of population in urban agglomerations and the distribution of urbanagglomerations by size see technical notes for table 10.

Projected city population (2015) as per cent of total population: selected cities

Luanda, AngolaBralZaville, Congo

Abidjan, Cote d'ivoireConakry, Guinea

Tripoli, Libyan Arab JamahiriyaDakar, Senegal

San Jose, Costa Rica

Port-au-Prince, HaitiPanama City, PanamaSan Juan, Puerto Rico

Buenos Aires, ArgentinaSantiago, Chile

Asuncion, ParaguayLima, Peru

Yerevan, ArmeniaTblllsl, Georgia

Tel Avtv-Yafo, IsraelKuwait City, Kuwait

Beirut, LebanonAbu Dhabi, United Arab Emir.

Vienna, AustriaZagreb, Croatia

Copnehagen, DenmarkHelsinki, FinlandAthens, GreeceDublln,lreland

Riga,LaMaLisbon, Portugal

Auckland, New Zealand

o 10 20 30 40 50 60 70

J!United Nations DESA Working Papers, ESAlPIWP.161

!!! United Nations Publication No. E.79.XIII.9, New York, 1980

!! United Nations Publication STIESAlSER.Rl45, New York, 1982

227

Per cent

11. Percentage of total population residing in urban agglomerations with 750,000 or moreinhabitants: countries or areas, 1980-2015 with five-year interval


AFRICA

1980 1985 1990 1995 2000 2005 2010 2015

AlgeriaAlgiers 7.5 6.8 6.3 6.0 6.0 6.1 6.3 6.4Oran 2.9 2.8 2.7 2.8 2.8 3.0 3.1 3.1

AngolaLuanda 13.1 15.3 17.4 19.2 20.8 22.3 23.8 25.1

Burkina FaeoOuagadougou 3.8 5.4 6.6 7.9 9.5 11.1 12.6 14.1

CameroonDouala 6.0 7.3 8.7 10.0 11.1 11.9 12.6 12.9Yaounde 4.6 5.7 7.2 8.5 9.6 10.4 11.0 11.3

ChadNdjamena 7.5 8.9 10.7 12.3 13.6 14.8 16.0 17.3

CongoBrazzaville 26.5 32.1 36.0 39.3 41.9 43.7 44.5 45.0

C6te d'ivoireAbidjan 15.4 16.8 18.8 20.5 22.4 23.6 24.5 25.3

Democratic Republic of the CongoKinshasa 8.1 8.8 9.2 9.3 9.8 10.3 11.0 11.7Lubumbashi 1.7 1.8 1.8 1.8 1.9 2.0 2.1 2.3

EgyptAlexandria 5.8 5.7 5.7 5.9 6.0 6.2 6.3 6.5Cairo 15.7 15.5 15.2 15.3 15.4 15.6 15.8 16.1Shubra EI-Khemia 1.1 1.3 1.4 1.5 1.5 1.6 1.6 1.7

EthiopiaAddis Ababa 3.3 3.6 3.7 3.9 4.2 4.6 5.1 5.6

GhanaAccra 9.4 9.1 9.2 9.4 9.8 10.3 10.9 11.4

GuineaConakry 12.4 16.6 19.5 21.6 24.5 26.5 28.3 30.1

KenyaNairobi 5.2 5.5 6.0 6.7 7.7 8.7 9.5 10.0

Ubyan Arab JamahiriyaBenghazi 13.0 13.4 14.4 15.1 15.5 15.7 15.6 15.5Tripoli 26.2 27.5 29.9 31.7 32.5 32.7 32.3 31.9

MadagascarAntananarivo 6.0 6.8 7.7 8.5 9.5 10.5 11.6 12.5

MaliBamako 7.1 7.6 8.3 9.2 10.1 11.0 11.9 12.8

MoroccoCasablanca 10.7 11.0 11.4 11.9 12.5 13.1 13.6 14.0Rabat 4.2 4.5 4.7 5.0 5.3 5.6 5.9 6.1

MozambiqueMaputo 6.2 7.9 10.7 12.8 15.4 17.3 18.1 18.8

NigeriaIbadan 1.5 1.5 1.5 1.5 1.6 1.6 1.7 1.8Lagos 6.7 7.7 8.9 10.4 12.0 13.5 14.6 15.1

SenegalDakar 17.0 18.0 19.1 20.5 21.9 23.4 24.6 25.6

SomaliaMogadishu 6.6 8.4 10.0 11.8 12.1 12.8 13.8 14.9

South AfricaCapeTown 5.8 6.3 6.8 7.3 7.4 7.6 7.8 7.9Durban 3.4 3.2 3.3 3.4 3.3 3.3 3.4 3.5East Rand 3.6 3.4 3.9 4.5 4.8 5.1 5.3 5.5Johannesburg 5.6 5.3 5.5 5.8 5.8 5.8 6.0 6.1Port Elizabeth 2.1 2.2 2.4 2.8 2.9 3.1 3.2 3.3

228

----_._----~._._--------------------------------------------------

11. Percentage of total population residing in urban agglomerations with 750,000 or moreinhabitants: countries or areas, 1980-2015 with five-year interval (continued)

(See notes at end of table.)1980 1985 1990 1995 2000 2005 2010 2015

Pretoria 2.7 2.7 3.1 3.5 3.7 3.9 4.1 4.2Sasolburg 1.6 1.8 2.2 2.7 3.0 3.3 3.5 3.6West Rand 2.1 2.1 2.5 2.9 3.1 3.3 3.5 3.6

SudanKhartoum 6.3 6.9 7.6 8.5 9.3 10.1 10.9 11.6

TunisiaTunis 17.7 19.5 19.2 19.3 19.8 20.4 20.9 21.1

UgandaKampala 3.6 4.1 4.6 5.1 5.6 6.1 6.8 7.5

United Republic of TanzaniaDares Salam 4.5 5.0 5.6 6.3 7.0 7.8 8.6 9.0Mwanza 0.7 1.2 1.8 2.6 3.5 4.1 4.6 4.9Tabora 0.5 1.0 2.0 3.4 5.1 6.3 7.1 7.5

zambiaLusaka 9.3 11.2 13.5 16.1 17.9 19.3 20.1 20.9

ZimbabweHarare 8.6 9.3 10.6 13.0 15.0 16.8 18.4 19.5

AMERICA, NORTHCanada

Calgary 2.3 2.5 2.7 2.8 2.9 2.9 3.0 3.0Edmonton 2.5 2.9 3.0 3.0 2.9 2.9 2.9 2.9Montreal 11.5 11.2 11.1 11.2 11.1 11.0 10.9 10.8Ottawa 3.0 3.1 3.2 3.5 3.6 3.7 3.7 3.7Toronto 12.2 12.9 13.7 14.5 14.9 15.1 15.1 15.0Vancouver 5.1 5.2 5.6 6.2 6.5 6.7 6.8 6.8Costa RicaSan Jose 26.3 26.0 25.4 24.6 24.5 25.0 25.8 26.6

CubaHavana 19.7 19.8 19.8 19.9 20.1 20.3 20.3 20.3

Dominican RepublicSantiago de los 8.5 10.5 13.1 16.5 18.1 19.4 20.2 20.6Santo Domingo 25.0 29.2 34.1 40.5 42.4 43.9 45.0 45.5

EI SalvadorSan Salvador 16.4 18.5 20.3 21.4 22.4 23.5 24.4 25.3

GuatemalaGuatemala City 11.0 14.1 19.2 25.8 28.5 29.9 31.0 32.2

HaitiPort-au-Prince 12.9 14.4 16.4 18.9 21.5 23.8 25.8 27.7

HondurasTegucigalpa 11.5 13.4 14.6 14.4 14.7 15.3 16.2 16.9

MexicoCiudad Juarez 0.8 0.9 1.0 1.1 1.2 1.2 1.2 1.2Guadalajara 3.3 3.5 3.6 3.8 4.0 3.9 3.8 3.7Leon 0.9 1.0 1.0 1.0 1.1 1.0 1.0 1.0Mexico City 20.6 19.2 18.2 18.2 18.3 17.4 16.6 16.1Monterrey 3.0 3.0 3.2 3.3 3.5 3.4 3.3 3.3Puebla 1.6 1.7 1.8 1.9 2.0 2.0 1.9 1.9San Luis Potosi 0.6 0.7 0.8 0.8 0.9 1.0 1.0 1.0Tijuana 0.6 0.7 0.9 1.0 1.2 1.3 1.3 1.4Toluca 0.4 0.5 0.7 0.9 1.2 1.5 1.6 1.7Torreon 0.8 0.8 0.8 0.9 1.0 1.0 1.0 1.0

NlceraguaManagua 18.0 17.9 18.5 18.6 18.9 19.3 19.8 20.3

Puerto Rico

San Juan 33.9 34.1 34.8 35.1 35.7 36.1 36.3 36.4Panama

Panama City 31.5 33.3 35.4 37.9 41.1 42.4 43.6. 44.7

229



United State. of AmericaAtlanta 0.7 0.8 0.9 0.9 1.0 1.0 1.0 1.0Baltimore 0.8 0.8 0.8 0.7 0.7 0.7 0.7 0.7Boston 1.2 1.1 1.1 1.1 1.1 1.0 1.0 1.0Buffalo 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4Chicago 2.9 2.8 2.7 2.6 2.5 2.5 2.4 2.4Cincinnati 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5Cleveland 0.8 0.7 0.7 0.6 0.6 0.6 0.6 0.6Columbus 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4Dallas 1.1 1.2 1.3 1.4 1.4 1.4 1.4 1.4Denver 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6Detroit 1.7 1.6 1.5 1.4 1.4 1.3 1.3 1.3Fort Lauderdale 0.4 0.5 0.5 0.5 0.5 0.5 0.5 0.5Houston 1.1 1.1 1.2 1.2 1.2 1.2 1.2 1.2Indianapolis 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4Jacksonville 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3Kansas City 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5Las Vegas 0.2 0.2 0.3 0.3 0.4 0.4 0.4 0.4Los Angeles 4.1 4.3 4.5 4.7 4.7 4.7 4.7 4.6Louisville 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3Memphis 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3Miami 0.7 0.7 0.8 0.8 0.8 0.8 0.8 0.8Milwaukee 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5Minneapolis 0.8 0.8 0.8 0.8 0.9 0.9 0.9 0.9New Orleans 0.5 0.4 0.4 0.4 0.4 0.4 0.4 0.4New York 6.8 6.5 6.3 6.1 6.0 5.9 5.8 5.7Norfolk 0.3 0.4 0.5 0.6 0.7 0.7 0.7 0.7Oklahoma City 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3Orlando 0.3 0.3 0.4 0.4 0.4 0.5 0.5 0.5Philadelphia 1.8 1.7 1.7 1.6 1.6 1.6 1.6 1.5Phoenix 0.6 0.7 0.8 0.9 0.9 1.0 1.0 1.0Pittsburgh 0.8 0.7 0.7 0.6 0.6 0.6 0.6 0.6Portland 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5Providence 0.4 0.3 0.3 0.3 0.3 0.3 0.3 0.3Riverside-San Bemardino 0.3 0.4 0.5 0.6 0.6 0.6 0.6 0.6Sacramento 0.4 0.4 0.4 0.5 0.5 0.5 0.5 0.5Salt Lake City 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3San Antonio 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.5San Diego 0.8 0.8 0.9 1.0 1.1 1.1 1.1 1.1San Francisco 1.4 1.4 1.4 1.5 1.5 1.5 1.5 1.4San Jose 0.5 0.6 0.6 0.6 0.6 0.6 0.6 0.6Seattle 0.6 0.7 0.7 0.7 0.8 0.8 0.8 0.8Saint Louis 0.8 0.8 0.8 0.8 0.7 0.7 0.7 0.7Tampa 0.6 0.6 0.7 0.7 0.7 0.8 0.8 0.8Washington, D.C. 1.2 1.3 1.3 1.4 1.4 1.4 1.4 1.4West Palm Beach 0.2 0.3 0.3 0.4 0.4 0.4 0.4 0.4

AMERICA. SOUTHArgentlnl

Buenos Aires 35.3 34.8 34.4 34.1 33.9 33.6 33.1 32.4C6rdoba 3.5 3.6 3.7 3.8 3.9 3.9 4.0 3.9Mendoza 2.1 2.2 2.3 2.5 2.6 2.6 2.7 2.6Rosario 3.4 3.4 3.4 3.4 3.5 3.5 3.5 3.5

BolivllLa Paz 13.6 14.8 15.9 17.2 17.8 18.3 18.8 19.1Santa Cruz 6.1 7.6 9.4 11.3 12.8 13.9 14.6 14.9

BrazilBelem 0.8 0.8 0.9 0.9 1.0 1.0 1.0 1.0

230


(See notes at end 01 table.)1980 1985 1990 1995 2000 2005 2010 2015

Belo Horizonte 2.1 2.2 2.3 2.4 2.5 2.5 2.5 2.5Brasilia 1.0 1.0 1.1 1.1 1.2 1.2 1.2 1.2Campinas 0.8 0.8 0.9 1.0 1.1 1.2 1.2 1.2Curitiba 1.2 1.2 1.3 1.4 1.5 1.5 1.6 1.6Fortaleza 1.3 1.4 1.5 1.7 1.8 1.9 1.9 1.9Goiania 0.6 0.6 0.6 0.6 0.7 0.7 0.7 0.7Manaus 0.5 0.6 0.7 0.8 0.8 0.9 0.9 0.9Porto Alegre 1.9 1.9 2.0 2.1 2.2 2.2 2.3 2.2Recile 1.9 1.9 1.9 1.9 2.0 2.0 2.0 2.0Rio de Janeiro 7.2 6.8 6.5 6.4 6.2 6.1 6.0 5.9Salvador 1.4 1.5 1.6 1.8 1.9 1.9 2.0 2.0Santos 0.7 0.7 0.7 0.7 0.7 0.8 0.8 0.8Sao Jose dos Campos 0.3 0.4 0.4 0.5 0.6 0.6 0.6 0.6Sao Luis 0.4 0.4 0.5 0.5 0.6 0.6 0.6 0.6Sao Paulo 10.3 10.2 10.2 10.4 10.4 10.4 10.3 10.2

ChileSantiago 33.3 34.4 34.9 35.4 36.4 37.0 37.2 36.9

ColombiaBarranquilla 2.9 2.9 3.3 3.7 4.1 4.4 4.5 4.6Bogota 12.8 13.8 14.2 14.6 14.9 15.0 15.1 15.1Cali 4.3 4.5 5.1 5.8 6.4 6.8 7.0 7.1Medellin 5.7 6.6 6.8 6.9 7.0 7.1 7.1 7.1

EcuadorGuayaquil 13.5 14.2 14.5 16.1 18.1 19.3 20.1 20.7Quito 9.8 10.3 10.6 12.0 13.9 15.1 15.9 16.5

ParaguayAsuncion 21.6 22.1 22.0 22.4 23.0 23.7 24.5 25.2

PeruLima 25.4 26.1 27.0 28.3 29.0 29.4 29.6 29.5

UruguayMontevideo 41.6 41.5 40.2 38.6 37.1 36.0 35.4 34.9

VenezuelaBarquisimeto 3.9 3.9 3.8 3.8 3.8 3.8 3.8 3.8Caracas 17.1 16.0 14.7 13.8 13.1 12.3 11.9 11.6Maracaibo 6.4 6.7 6.9 7.3 7.9 8.2 8.4 8.4Maracay 3.7 3.9 4.1 4.3 4.6 4.7 4.8 4.9Valencia 4.5 5.1 5.8 6.7 7.8 8.8 9.3 9.6

ASIA

AfghanistanKabul 6.1 8.5 10.6 10.3 11.4 12.0 13.2 14.4

ArmeniaYerevan 33.6 33.6 34.2 35.4 36.5 36.6 36.7 37.0

AzerbaijanBaku 25.6 24.9 24.5 24.5 25.0 25.3 25.7 26.3

BangladeshChittagong 1.5 1.8 2.1 2.5 2.8 3.1 3.4 3.6Dhaka 3.7 4.7 6.1 7.9 9.5 10.9 12.1 13.1Khulna 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4Rajshahi 0.3 0.4 0.5 0.6 0.8 0.9 1.0 1.2

CambodiaPhnom Penh 5.7 6.3 6.9 7.7 8.8 10.1 11.4 12.7

ChinaAnshan 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Baotou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Beijing 0.9 0.9 0.9 0.9 0.9 0.8 0.8 0.9Benxi 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Changchun 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.3

231



1980 1985 1990 1995 2000 2005 2010 2015

Changde 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Changsha 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Changzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Chengdu 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.3Chileng 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1Chongqing 0.3 0.3 0.3 0.3 0.4 0.5 0.6 0.6Dalian 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2Daqing 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Dalong 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Dongguan 0.1 0.1 0.2 0.1 0.1 0.1 0.1 0.1Fushun 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Fuxin 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Fuyu 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Fuzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Guangzhou 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3Guiyang 0.1 0.1 0.1 0.2 0.2 0.2 0.3 0.3Handan 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2Hangzhou 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Harbin 0.3 0.3 0.3 0.2 0.2 0.2 0.2 0.2Helei 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Heze 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2Huaian 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Huainan 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Huhehaote 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Huzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jiamusi 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jiaxing 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jilin 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jinan 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.2Jining 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jingmen 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jinxi 0.1 0.1 0.1 0.2 0.2 0.3 0.3 0.4Jinzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jixi 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Kaohsiung 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Kunming 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Lanzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Leshan 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Unqing 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Linyi 0.1 0.1 0.2 0.2 0.2 0.2 0.3 0.3Liuan 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Liupanshui 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2Liuzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Luoyang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Mianyang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Mudanjiang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Nanchang 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Nanchong 0.1 0.1 0.1 0.1 0.1 0.2Nanjing 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2Nanning 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Neijiang 0.1 0.1 0.1 0.1 0.1 0.1Ningbo 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Pingdingshan 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1Pingxiang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Qingdao 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2Qiqihar 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Shanghai 1.2 1.2 1.2 1.1 1.0 1.0 1.0 1.0Shanlou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1

232



1980 1985 1990 1995 2000 2005 2010 2015

Shenyang 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4Shenzhen 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1Shijiazhuang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Suining 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Suqian 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Suzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Taian 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Taichung 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Taipei 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2Taiyuan 0.2 0;2 0.2 0.2 0.2 0.2 0.2 0.2Tangshan 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2TIanjin 0.7 0.8 0.8 0.7 0.7 0.7 0.7 0.8Tianmen 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2TIanshui 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Wanxian 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Weifang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Wenzhou 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.3Wuhan 0.3 0.3 0.3 0.4 0.4 0.5 0.5 0.5Wulumuqi 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Wuxi 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xian 0.2 0.2 0.3 0.3 0.2 0.3 0.3 0.3Xiangxiang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xiantao 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Xianyang 0.1 0.1 0.1 0.1 0.1 0.1Xiaogan 0.1 0.1 0.1 0.1 0.1 0.1Xiaoshan 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xinghua 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xintai 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xinyi 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xuanzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Xuzhou 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.3Yancheng 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yantai 0.0 0.1 0.1 0.1 0.2 0.2 0.3 0.3Yichun (Heilongjiang) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yichun (Jiangxi) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yixing 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Y"lyang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yongzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yueyang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yulin 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yuyao 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Yuzhou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1zaoyang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1zaozhuang 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2Zhangjiakou 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Zhangjiangang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Zhanjiang 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Zhaodong 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Zhengzhou 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2Zibo 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2Zigong 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1

China· Hong Kong. SARHong Kong 91.5 92.9 99.9 100.0 100.0 100.0 100.0 100.0

GazaStripGaza Strip (Urban) 90.2 92.2 93.5 94.2 94.6 94.9 95.2 95.5

GeorgiaTbilisi 21.5 22.3 23.4 25.0 26.4 26.7 27.2 27.7

233



IndiaAgra 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Ahmedabad 0.4 0.4 0.4 0.4 0.4 0.4 0.5 0.5Allahabad 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Amritsar 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Asansol 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Aurangabad 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1Bangalore 0.4 0.4 0.5 0.5 0.6 0.6 0.6 0.7Bhopal 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2Bombay 1.2 1.3 1.4 1.6 1.8 1.9 2.1 2.2Calcutta 1.3 1.3 1.3 1.3 1.3 1.3 1.4 1.4Coimbatore 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Delhi 0.8 0.9 1.0 1.1 1.2 1.2 1.3 1.4Dhanbad 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Durg-Bhilainagar 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Faridabad 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Gwalior 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Hyderabad 0.4 0.4 0.5 0.6 0.7 0.8 0.8 0.9Indore 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2Jabalpur 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jaipur 0.1 0.2 0.2 0.2 0.2 0.2 0.3 0.3Jamshedpur 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Jodhpur 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Kanpur 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.3Kochi (Cochin) 0.1 0.1 0.1 0.2 0.2 0.2 0.2 0.2Kozhikode (Calicut) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Lucknow 0.1 0.2 0.2 0.2 0.3 0.3 0.3 0.3Ludhiana 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2Madras 0.6 0.6 0.6 0.6 0.7 0.7 0.7 0.8Madurai 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Meerut 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2Nagpur 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2Nashik 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Patna 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Pune (Poona) 0.2 0.3 0.3 0.3 0.3 0.4 0.4 0.4Rajkot 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Surat 0.1 0.2 0.2 0.2 0.2 0.3 0.3 0.3Thane 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2Thiruvananthapuram 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Tiruchchirapalli 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1Ulhasnagar 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2Vadodara 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2Varanasi (Benares) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Vijayawada 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2Visakhapatnam 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2

IndonesiaBandung 1.2 1.3 1.4 1.5 1.6 1.8 2.0 2.1Jakarta 4.0 4.1 4.2 4.6 5.2 5.8 6.4 6.9Medan 0.8 0.8 0.8 0.9 0.9 0.9 1.0 1.1Palembang 0.5 0.5 0.6 0.6 0.7 0.7 0.8 0.9Semarang 0.5 0.5 0.4 0.4 0.4 0.4 0.4 0.4Surabaja 1.1 1.1 1.1 1.1 1.2 1.2 1.3 1.4Ujung Pandang 0.4 0.4 0.5 0.5 0.5 0.5 0.6 0.6

Iran. Islamic RepUblic ofAhvaz 1.0 1.2 1.2 1.4 1.5 1.6 1.6 1.6Esfahan 2.3 2.1 2.4 3.1 3.8 4.4 4.6 4.7Kennanshah 0.9 1.0 1.0 1.2 1.4 1.5 1.6 1.6Mashhad 2.4 2.8 3.0 3.2 3.4 3.6 3.7 3.7

234



Shiraz 1.5 1.7 1.7 1.6 1.6 1.6 1.6 1.6Tabriz 2.2 2.4 2.3 2.3 2.4 2.4 2.4 2.4Teheran 12.9 12.2 11.3 11.0 10.7 10.6 10.5 10.5

IraqArbil 3.2 4.5 6.4 8.7 10.3 11.0 11.1 11.1Baghdad 25.8 24.0 22.3 21.6 20.8 20.4 20.3 20.1Mosul 3.8 3.9 4.1 4.4 4.5 4.5 4.6 4.6

Israel'Tel-Aviv-Yafo 36.5 38.3 38.4 35.5 35.1 35.1 35.0 34.7

JapanHiroshima 0.6 0.7 0.7 0.9 1.1 1.3 1.3 1.4Kitakyushu 1.7 1.8 2.0 2.1 2.2 2.2 2.2 2.2Kyoto 1.5 1.4 1.4 1.4 1.5 1.5 1.5 1.5Nagoya 2.2 2.2 2.4 2.4 2.5 2.5 2.5 2.5Osaka 8.6 8.6 8.9 8.8 8.7 8.6 8.7 8.7Sapporo 1.0 1.1 1.3 1.4 1.6 1.6 1.6 1.6Sendai 0.6 0.6 0.6 0.8 1.0 1.1 1.1 1.1Tokyo 18.7 19.3 20.3 20.6 20.9 20.8 20.8 21.0

JordanAmman 21.9 19.0 20.7 20.6 21.5 22.1 22.3 22.3

KazakhstanAlma-Ata 6.3 6.6 6.9 7.6 7.7 7.7 7.6 7.6

Korea, Democratic People's RepUblic ofNampo 1.7 2.2 2.8 3.6 4.4 4.9 5.2 5.3Pyongyang 10.4 11.3 12.1 12.9 13.3 13.6 13.9 14.0

Korea, Republic ofInch'on 2.8 3.3 4.2 5.1 6.2 6.5 6.5 6.5Kwangju 1.9 2.2 2.6 2.8 2.9 2.8 2.8 2.7Puch'on 0.6 1.1 1.5 1.7 1.9 1.9 1.8 1.8Pusan 8.2 8.6 8.8 8.5 8.2 7.9 7.7 7.6Seoul 21.7 23.4 24.6 22.8 21.1 20.4 19.8 19.4Songnam 1.0 1.1 1.3 1.9 2.9 3.7 4.1 4.3Taegu 4.2 4.9 5.2 5.4 5.7 5.5 5.4 5.3Taejon 1.7 2.1 2.4 2.8 3.3 3.3 3.2 3.2Ulsan 1.1 1.3 1.6 2.1 2.9 3.3 3.5 3.6

KuwaitKuwait City 60.4 54.8 50.9 64.5 60.3 59.5 58.6 57.7

LebanonBeirut 45.4 51.9 61.9 60.7 62.6 63.7 63.6 62.6

MalaysiaKuala Lumpur 6.7 6.5 6.3 6.2 6.2 6.4 6.6 6.7

MyanmarYangon 6.6 7.4 8.1 8.7 9.2 9.8 10.6 11.3

PakistanFaisalabad 1.3 1.3 1.3 1.4 1.4 1.5 1.6 1.7Gujranwala 0.7 0.9 1.1 1.2 1.3 1.4 1.5 1.6Hyderabad 0.9 0.8 0.8 0.8 0.8 0.9 0.9 1.0Islamabad 0.2 0.3 0.5 0.6 0.7 0.7 0.8 0.8Karachi 5.9 6.3 6.7 7.1 7.5 7.9 8.3 8.6Lahore 3.4 3.4 3.5 3.7 3.9 4.1 4.3 4.5Multan 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1Peshawar 0.6 0.8 1.0 1.2 1.3 1.4 1.5 1.6Rawalpindi 0.9 0.9 0.9 0.9 1.0 1.0 1.1 1.2

PhilippinesDavao 1.3 1.3 1.4 1.5 1.6 1.7 1.8 1.8Metro Manila 12.3 12.6 13.1 13.6 14.3 15.0 15.3 15.3

Saudi AreblaJeddah 7.8 7.5 7.6 8.2 8.4 8.5 8.6 8.4

235



Mecca 4.8 4.4 4.1 4.3 4.3 4.3 4.3 4.3Riyadh 10.3 11.1 12.3 14.4 15.4 15.9 15.9 15.7

SingaporeSingapore 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Syrian Arab RepublicAleppo 12.3 12.4 12.5 13.0 13.5 13.9 14.3 14.6Damascus 15.8 15.2 14.5 14.3 14.5 14.8 15.1 15.5

ThailandBangkok 10.1 10.3 10.6 11.2 11.9 12.6 13.6 14.7

TurkeyAdana 1.3 1.5 1.6 1.8 1.9 2.1 2.2 2.2Ankara 4.3 4.5 4.5 4.6 4.8 5.0 5.1 5.1Bursa 1.1 1.3 1.5 1.7 2.0 2.2 2.3 2.3Gaziantep 0.8 0.9 1.1 1.2 1.4 1.5 1.6 1.6Istanbul 9.9 10.7 11.7 12.9 14.2 15.1 15.6 15.6Izmir 2.7 2.9 3.1 3.4 3.6 3.8 4.0 4.0

United Arab EmiratesAbu Dhabi 22.7 26.7 32.5 36.2 38.0 38.5 38.3 38.1

UzbekistanTashkent 11.4 10.8 10.1 9.4 8.8 8.4 8.1 8.1

VietNamHaiphong 2.4 2.3 2.2 2.1 2.1 2.1 2.2 2.4Hanoi 4.9 4.8 4.7 4.6 4.7 4.8 5.0 5.3Ho Chi Minh City 6.4 6.2 6.0 5.8 5.8 5.8 6.0 6.4

VemenSana'a 2.9 4.2 5.9 6.4 7.2 7.9 8.5 9.2

EUROPE

AustriaVienna 27.0 27.1 26.7 25.8 25.2 25.0 25.0 25.2

BelarusMinsk 13.7 14.7 15.8 16.3 17.3 18.0 18.4 18.7

BelgiumBrussels 12.1 11.9 11.5 11.1 11.0 11.0 11.1 11.1

BUlgariaSofia 12.0 13.2 13.7 14.0 14.5 14.9 15.4 15.8

Croatiazagreb 14.7 16.4 18.8 21.8 23.7 24.9 25.8 26.4

Czech RepUblicPrague 11.5 11.6 11.7 11.8 12.0 12.1 12.2 12.4

DenmarkCopenhagen 27.0 26.7 26.2 26.0 26.2 26.4 26.5 26.7

FinlandHelsinki 13.4 14.7 17.5 20.7 22.6 23.6 24.2 24.6

FranceUlle 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7Lyon 2.2 2.2 2.2 2.3 2.3 2.3 2.3 2.3Marseilles 2.3 2.3 2.2 2.1 2.1 2.1 2.1 2.1Paris 16.6 16.5 16.5 16.4 16.3 16.1 16.0 15.8

GermanyAachen 1.2 1.2 1.3 1.3 1.3 1.3 1.3 1.3Berlin 4.2 4.2 4.1 4.1 4.0 4.0 4.1 4.1Bielefeld 1.5 1.5 1.5 1.6 1.6 1.6 1.6 1.6

Bremen 1.1 1.1 1.1 1.1 1.1 1.1 1.1 1.1Cologne 3.4 3.5 3.6 3.7 3.7 3.7 3.8 3.8Dusseldorf 3.2 3.0 3.4 3.7 3.9 4.0 4.1 4.1Essen 8.1 8.0 8.0 7.9 8.0 8.0 8.0 8.1Frenkfurt 4.2 4.2 4.4 4.4 4.5 4.5 4.5 4.6

236

----------------



1980 1985 1990 1995 2000 2005 2010 2015

Hamburg 3.2 3.2 3.2 3.2 3.2 3.3 3.3 3.3Hanover 1.5 1.5 1.6 1.6 1.6 1.6 1.6 1.6Karlsruhe 1.1 1.1 1.2 1.2 1.2 1.2 1.2 1.2Mannheim 1.8 1.8 1.9 1.9 2.0 2.0 2.0 2.0Munich 2.5 2.6 2.7 2.7 2.8 2.8 2.8 2.9Nuremberg 1.3 1.4 1.4 1.4 1.5 1.5 1.5 1.5Saarland 1.1 1.1 1.1 1.1 1.1 1.1 1.1 1.1Stuttgart 3.0 3.0 3.1 3.2 3.3 3.3 3.3 3.3

GreeceAthens 31.0 30.7 30.0 29.5 29.3 29.4 29.7 30.2Thessaloniki 7.2 7.3 7.3 7.3 7.4 7.6 7.7 7.9

HungaryBudapest 19.2 19.3 19.4 18.7 18.2 18.6 19.0 19.4

IrelandDublin 26.6 25.9 26.2 26.2 26.4 26.5 26.7 27.0

halyFlorence 1.6 1.5 1.4 1.4 1.4 1.4 1.4 1.4Genoa 1.9 1.8 1.7 1.6 1.6 1.6 1.6 1.6Milan 9.5 8.8 8.1 7.4 7.4 7.5 7.6 7.8Naples 6.4 6.0 5.6 5.3 5.3 5.3 5.4 5.5Rome 5.4 5.2 4.9 4.7 4.7 4.7 4.8 4.9Turin 2.8 2.7 2.5 2.3 2.3 2.3 2.3 2.4

LatviaRiga 33.4 34.0 33.3 32.8 32.9 34.8 36.3 37.6

NetherlandsAmsterdam 6.8 6.9 7.1 7.1 7.3 7.3 7.4 7.4Rotterdam 7.3 7.1 7.0 7.0 7.0 7.0 7.1 7.1

NorwayOslo 15.7 15.9 16.1 19.7 21.9 22.9 23.3 23.5

PolandCrakow 2.1 2.1 2.1 2.2 2.2 2.3 2.3 2.3Gdansk 2.3 2.3 2.3 2.3 2.3 2.3 2.4 2.4Katowice 9.1 8.9 8.8 8.9 9.0 9.1 9.2 9.2Lodz 2.8 2.7 2.7 2.7 2.7 2.8 2.8 2.8Warsaw 5.8 5.7 5.7 5.8 5.9 5.9 6.0 6.1

PortugalLisbon 13.4 17.8 24.7 34.1 38.8 42.2 44.6 45.6Porto 5.6 7.7 11.2 16.4 19.5 21.8 23.4 24.1

RomaniaBucharest 8.9 8.8 8.9 9.0 9.2 9.4 9.5 9.8

Russian FederationChelyabinsk 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8Ekaterinburg 0.9 0.9 0.9 1.0 1.0 1.0 1.0 1.0Kazan 0.7 0.7 0.8 0.8 0.8 0.8 0.8 0.8Krasnoyarsk 0.6 0.6 0.6 0.7 0.7 0.7 0.7 0.7Moscow 5.9 6.0 6.1 6.3 6.3 6.4 6.5 6.5Nizhni Novgorod 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0Novosibirsk 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0Omsk 0.7 0.8 0.8 0.8 0.8 0.8 0.9 0.9Perm 0.7 0.7 0.7 0.8 0.8 0.8 0.8 0.8Rostov-on-Don 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7Samara 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9Saratov 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6Saint Petersburg 3.4 3.4 3.4 3.5 3.5 3.5 3.6 3.6Ufa 0.7 0.7 0.7 0.8 0.8 0.8 0.8 0.8Volgograd 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7Voronezh 0.6 0.6 0.6 0.6 0.6 0.7 0.7 0.7

237

11. Percentage of total population residing In urban agglomerations with 750,000 or moreInhabitants: countries or areas, 1980-2015 with five-year Interval (continued)

(See notes at end 01 table.)1980 1985 1990 1995 2000 2005 2010 2015

SpainBarcelona 8.2 7.8 7.4 7.1 7.1 7.1 7.2 7.3Madrid 11.4 11.1 10.6 10.3 10.3 10.3 10.4 10.6Valencia 2.0 1.9 1.9 1.9 1.9 1.9 1.9 2.0

SwedenG6teborg 8.4 8.4 8.5 8.6 8.6 8.6 8.6 8.6Stockholm 16.7 17.2 17.4 17.6 17.8 17.8 17.8 17.8

SwIIDt18ndZurich 11.2 11.7 12.2 13.0 13.3 13.5 13.7 13.8

Ulcr8lneDnepropetrovsk 2.2 2.2 2.3 2.2 2.2 2.3 2.3 2.4Donetsk 2.1 2.1 2.1 2.1 2.1 2.2 2.2 2.3Kharkov 2.9 3.0 3.1 3.0 3.0 3.1 3.1 3.2Kiev 4.4 4.7 5.0 5.1 5.3 5.4 5.5 5.6Lvov 1.4 1.5 1.5 1.6 1.6 1.6 1.7 1.7Odessa 2.1 2.1 2.1 2.0 2.0 2.0 2.1 2.1ZSporozhye 1.6 1.7 1.7 1.7 1.7 1.8 1.8 1.8

United KingdomBirmingham 4.2 4.1 4.0 3.9 3.9 3.8 3.8 3.8Leeds 2.6 2.6 2.5 2.5 2.4 2.4 2.4 2.4Liverpool 1.4 1.4 1.4 1.5 1.6 1.6 1.6 1.6London 13.7 13.5 13.3 13.1 13.0 12.9 12.9 12.8Manchester 4.2 4.1 4.0 3.9 3.8 3.8 3.8 3.8Tyneside (Newcastle) 1.4 1.5 1.5 1.6 1.7 1.7 1.7 1.7YugoaIavIaBa rads

AunW"Adelaide 6.5 6.4 6.0 5.8 5.6 5.5 5.5 5.4Brisbane 7.3 7.5 7.7 8.1 8.4 8.6 8.6 8.6Malboume 19.0 18.6 17.8 17.2 16.9 16.6 16.3 16.1Perth 6.2 6.5 6.7 6.8 7.0 7.0 7.0 7.0Sydney 22.2 22.0 20.9 20.0 19.4 19.0 18.6 18.3

NewZMIMdAuckland 24.9 25.0 25.9 26.6 28.5 29.8 30.4 30.6

NOTES

All numbera ara presented as percentages 01 the total population 01 each country.'Including data lor East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military lorces since June 1967.

238

12. The 30 largest urban agglomerations ranked by population size (in millions): 1980-2015with five-year interval

Technical notes


The source of data for this table is United Nations Population Division's publication World Urbanization Prospects The 1999 RevisionJi. The method used for projecting city populations is presented in detail in Patterns of Urbanand Rural Population Growth!!!. and also in Estimates and Projections of Urban, Rural and City Populations, 19502025: The 1980 Assessment ~.

The annual growth rate refers to the percentage of population increase per annum.

The goal of using the urban agglomeration concept, as defined, in the Technical Notes at the beginning of thispublication could not be achieved in every instance. Many countries supplied data only on administrative cityareas. These data are adequate in countries where local administrative boundaries are widened in conformity withthe expansion of the growing agglomerations. In other countries, however, the local administrative limits are morerigid. For a number of countries, data were supplied, for administrative city areas (city proper) and formetropolitan areas (urban agglomerations). In these instances, the metropolitan data were usually preferredbecause they tend to differ from the agglomeration to a lesser extent than the administrative data, even though thesize of the agglomeration may thereby be somewhat exaggerated. For these and other reasons, the estimates forurban agglomerations cannot be regarded as strictly comparable.

The method used for projecting city populations is similar to that used for urban populations (for more details seeTechnical Notes for Table 9). The city growth rate was successively modified during the projection period toapproach linearly an expected value that is based on the size of the city and the urban growth rate for the countryor area. However this approach does not take into account the sudden growth or decline a city may experience.

l!United Nations OESA Working Papers EAlPIWP.161.

~ Untted Nations Publication No. E.79.XIII.9, New York, 1980

!! Untted Nations Publication ST/ESAlSER.Rl45, New York, 1982

239

12. The 30 largest urban agglomerations ranked by population size (in millions):1980-2015 with five-year Interval

1 Tokyo, Japan 21.9 1 Tokyo, Japan ·23.3

2 New York, United States of America 15.6 2 New York, United States of America 15.83 Mexico City, Mexico 13.9 3 Mexico City, Mexico 14.54 sao Paulo, Brazil 12.5 4 Sao Paulo, Brazil 13.85 Shanghai, China 11.7 5 Shanghai, China 12.46 Osaka, Japan 10.0 6 Buenos Aires, Argentina 10.57 Buenos Aires, Argentina 9.9 7 Los Angeles, United States of America 10.48 Los Angeles, United States of America 9.5 8 Osaka, Japan 10.49 Calcutta, India 9.0 9 Calcutta, India 9.9

.10 Beijing, China 9.0 10 Bombay, India 9.911 Paris, France 8.9 11 Beijing, China 9.812 Rio de Janeiro, Brazil 8.7 12 Seoul, Republic of Korea 9.513 Seoul, Republic of Korea 8.3 13 Rio de Janeiro, Brazil 9.214 Moscow, Russian Federation 8.1 14 Paris, France 9.115 Bombay, India 8.1 15 Moscow, Russian Federation 8.616 London, United Kingdom 7.7 16 Tianjin, China 8.117 TIanjin, China 7.3 17 Cairo, Egypt 7.718 Cairo, Egypt 6.9 18 London, United Kingdom 7.719 Chicago, United States of America 6.8 19 Metro Manila, Philippines 6.920 Essen, Germany 6.3 20 Jakarta, Indonesia 6.821 Jakarta, Indonesia 6.0 21 Chicago, United States of America 6.822 Metro Manila, Philippines 6.0 22 Delhi, India 6.823 Delhi, India 5.6 23 Karachi, Pakistan 6.324 Milan, Italy 5.3 24 Essen, Germany 6.225 Teheran, Iran (Islamic Rep. of) 5.1 25 Lagos, Nigeria 5.826 Karachi, Pakistan 5.0 26 Teheran, Iran (Islamic Rep. of) 5.827 Bangkok, Thailand 4.7 27 Istanbul, Turkey 5.428 Saint Petersburg, Russian Federation 4.6 28 Bangkok, Thailand 5.329 Hong Kong, China, Hong Kong SAR 4.6 29 Lima, Peru 5.130 Lima, Peru 4.4 30 Hon Kon ,China, Hon 5.1.. ,1 Tokyo 25.1 1 Tokyo, Japan 25.82 New York, United States of America 16.1 2 Mexico City, Mexico 16.63 Mexico City, Mexico 15.1 3 Sao Paulo, Brazil 16.54 sao Paulo, Brazil 15.1 4 New York, United States of America 16.35 Shanghai, China 13.3 5 Bombay, India 15.16 Bombay, India 12.2 6 Shanghai, China 13.17 Los Angeles, United States of America 11.5 7 Los Angeles, United States of America 12.48 Buenos Aires, Argentina 11.2 8 Calcutta, India 11.99 Osaka, Japan 11.0 9 Buenos Aires, Argentina 11.910 Calcutta, India 10.9 10 Osaka, Japan 11.011 Beijing, China 10.8 11 Beijing, China 10.812 Seoul, Republic of Korea 10.5 12 Lagos, Nigeria 10.313 Rio de Janeiro, Brazil 9.7 13 Seoul, Republic of Korea 10.314 Paris, France 9.3 14 Rio de Janeiro, Brazil 10.215 Moscow, Russian Federation 9.0 15 Delhi, India 9.916 Tianjin, China 8.8 16 Karachi, Pakistan 9.717 Cairo, Egypt 8.6 17 Cairo, Egypt 9.518 Delhi, India 8.2 18 Paris, France 9.519 Metro Manila, Philippines 8.0 19 Dhaka, Bangladesh 9.420 Karachi, Pakistan 7.9 20 Metro Manila, Philippines 9.321 Lagos, Nigeria 7.7 21 Moscow, Russian Federation 9.322 London, United Kingdom 7.7 22 Jakarta, Indonesia 9.223 Jakarta, Indonesia 7.7 23 TIanjin, China 9.024 Chicago, United States of America 6.8 24 Istanbul, Turkey 7.925 Dhaka, Bangladesh 6.6 25 London. United Kingdom 7.626 Istanbul, Turkey 6.5 26 Chicago, United States of America 6.827 Teheran, Iran (Islamic Rep. of) 6.4 27 Teheran, Iran (Islamic Rep. of) 6.828 Essen, Germany 6.4 28 Lima, Peru 6.729 Bangkok, Thailand 5.9 29 Bangkok, Thailand 6.630 Lima, Peru 5.8 30 Essen, Germany 6.5

240

12. The 30 largest urban agglomerations ranked by population size (in millions):1980-2015 with five-year interval (continued)

City name, country

1 Tokyo,Japan 26.4 1 Tokyo, Japan 26.42 Mexico City, Mexico 18.1 2 Bombay. India 20.93 Bombay, India 18.1 3 Sao Paulo, Brazil 18.84 Sao Paulo, Brazil 17.8 4 Mexico City, Mexico 18.55 New York, United States of America 16.6 5 New York. United States of America 16.96 Lagos, Nigeria 13.4 6 Lagos, Nigeria 16.97 Los Angeles, United States of America 13.1 7 Dhaka. Bangladesh 15.48 Calcutta, India 12.9 8 Calcutta, India 14.19 Shanghai, China 12.9 9 Karachi, Pakistan 14.110 Buenos Aires, Argentina 12.6 10 Los Angeles, United States of America 13.611 Dhaka, Bangladesh 12.3 11 Delhi,lndla 13.512 Karachi, Pakistan 11.8 12 Buenos Aires, Argentina 13.213 Delhi, India 11.7 13 Jakarta. Indonesia 13.214 Jakarta, Indonesia 11.0 14 Shanghai. China 13.115 Osaka, Japan 11.0 15 Metro Manila. Philippines 12.516 Metro Manila, Philippines 10.9 16 Cairo, Egypt 11.617 Beijing, China 10.8 17 Baijing, China 11.018 Rio de Janeiro, Brazil 10.6 18 Rio de Janeiro, Brazil 11.019 Cairo, Egypt 10.6 19 Osaka, Japan 11.020 Seoul, Republic of Kores 9.9 20 Istanbul, Turkey 10.821 Paris, France 9.6 21 Seoul, Republic of Korea 9.922 Istanbul, Turkey 9.5 22 Paris, France 9.723 Moscow, Russian Federation 9.3 23 Tl8njin, China 9.524 Tianjin, China 9.2 24 Moscow, Russian Federation 9.325 London, United Kingdom 7.6 25 Uma. Peru 8.226 Uma, Peru 7.4 26 Hyderabad, India 8.227 Bangkok, Thailand 7.3 27 Bangkok, Thailand 8.128 Teheran, Iran (Islamic Rep. of) 7.2 28 London, United Kingdom 7.629 Chicago, United States of America 7.0 29 Teheran. Iran (Islamic rep. of) 7.530 Han Kon •China, Han K SAR 6.9 30 Madras, India 7.4

I

1 Tokyo, Japan 26.4 1 Tokyo, Japan 26.42 Bombay, India 23.6 2 Bombay, India 26.13 Lagos, Nigeria 20.2 3 Lagos, Nigeria 23.24 Sao Paulo, Brazil 19.7 4 Dhaka. Bangladesh 21.15 Mexico City, Mexico 18.7 5 Sao Paulo, Brazil 20.46 Dhaka, Bangladesh 18.4 6 Karachi, Pakistan 19.27 New York, United States of America 17.2 7 Mexico City, Mexico 19.28 Karachi, Pakistan 16.6 8 New York, United States of America 17.49 Calcutta, India 15.6 9 Jakarta, Indonesia 17.310 Jakarta, Indonesia 15.3 10 Calcutta, India 17.311 Delhi, India 15.1 11 Delhi, India 16.812 Los Angeles. United States of America 13.9 12 Metro Manila. Philippines 14.813 Metro Manila, Philippines 13.9 13 Shanghai. China 14.614 Buenos Aires, Argentina 13.7 14 Los Angeles, United States of America 14.115 Shanghai, China 13.7 15 Buenos Aires. Argentina 14.116 Cairo, Egypt 12.7 16 Cairo. Egypt 13.817 Istanbul, Turkey 11.8 17 Istanbul. Turkey 12.518 Beijing, China 11.5 18 Baijing, China 12.319 Rio de Janeiro, Brazil 11.5 19 Rio de Janeiro. Brazil 11.920 Osaka, Japan 11.0 20 Osaka, Japan 11.021 Tianjin, China 10.0 21 Tl8njin, China 10.722 Seoul, Republic of Korea 9.9 22 Hyderabad, India 10.523 Paris, France 9.7 23 Bangkok. Thailand 10.124 Hyderabad. India 9.4 24 Lahore, Pakistan 10.025 Moscow, Russian Federation 9.4 25 Seoul, Republic of Korea 9.926 Bangkok, Thailand 9.0 26 Paris, France 9.727 Lima, Peru 8.8 27 Uma, Peru 9.428 Lahore, Pakistan 8.6 28 Kinshasa, Oem. Rep. Of Congo 9.429 Madras, India 8.2 29 Moscow, Russian Federation 9.430 Teheran, Iran (Islamic Rep. of) 8.1 30 Madras, India 9.1

241

13. Estimated number of households and annual household growth rate, 1985-2030 withfifteen-year Intervals; changes In number of households In five-year Increments, 20002020: countries or areas

Technical notes


These data were provided by the United Nations Centre for Human Settlements and were prepared through aspecial project. The data will be presented in detail in the forthcomin~ Global Report on Human SettlementsU .These estimates are unique in their coverage, as estimates for countries with insufficient data are also provided;but they are not meant to compete with national projections.

The household projections were based on different concepts and methods and are a function of data availabilityand reliability. The various types of projection approaches and the countries for which the respective approach hasbeen applied are specified below:

(1) Total headship rate based projection:

Africa - Algeria, Benin, Botswana, Burkina Faso, Cape Verde, Gambia, Kenya, Lesotho, Libyan Arab Jamahiriya,Mada~ascar, Malawi, Mali, Mauritius, Niger, Rwanda, South Africa, Sudan, Tunisia, United Rep. of Tanzania,Zambia and Zimbabwe;America, North - United States;America, South - Bolivia, Brazil, Colombia, Dominican Republic, Ecuador, Guatemala, Haiti, Honduras, Jamaica,Mexico, Nicaragua, Paraguay, Peru and Venezuela.Asia - BanQladesh, Brunei Darussalam, Cambodia, Cyprus, Georgia, India, Indonesia, Iraq, Japan, Kazakhstan,Kuwait, China Macau SAR, Malaysia, Maldives, Pakistan, Republic of Korea, Singapore, Sri Lanka, Thailand,Turkey, Viet Nam and Yemen;Europe - Albania, Austria, Belarus, Bulgaria, Denmark, Estonia, Finland, France, Germany, Greece, Hungary,Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Spain and Switzerland.Oceania - Fiji, French Polynesia, New Caledonia and Solomon Islands. .

(2) Headship size rate based projection:

Africa - Burundi, Central African Republic, Republic of Congo, EQypt, Liberia, Morocco, and Reunion;America, North - Bahamas, Barbados, Belize, Canada, Costa Rica, EI Salvador, Guadeloupe, Guyana,Martinique, Netherlands Antilles, Panama, Puerto Rico, and Trinidad and Tobago;America, South - Argentina, Chile, and Uruguay.;Asia - Armenia, Azerbaijan, Bahrain, China, China Hong Kong SAR, Iran (Islamic Republic of), Israel, Jordan,Kyrgyzstan, Nepal, Philippines, Syrian Arab Republic, Tajikistan, Turkmenistan and Uzbekistan.Europe - Belgium, Norway, Republic of Moldova, Romania, Russian Federation, Sweden, Ukraine, UnitedKingdom and Yugoslavia; •Oceania - Australia, Guam, New Zealand, Samoa and Vanuatu.

(3) Estimation on country level not possible:

Africa - Angola, Sierra Leone, and Westem Sahara;Asia - Afghanistan, Oem. People's Republic of Korea, East Timor, Gaza Strip and Lebanon;Europe - Bosnia and Herzegovina.

(4) Estimation on the basis of one data point:

Africa - Cameroon, Comoros, Cote d'ivoire, Oem. Republic of the Congo, Eritrea, Ethiopia, Gabon, Ghana,Guinea, Guinea-Bissau, Mauritania, Mozambique, Namibia, Nigeria, Senegal, Togo and Uganda;Asia - Mongolia, Myanmar, Oman, Qatar and United Arab Emirates;Europe - Croatia, Czech Republic, Iceland, Slovakia, Slovenia, and the Former Yugoslav Republic of Macedonia;Oceania - Suriname and Papua New Guinea.

UOxford University Press. New York and London. 2001.

242

(5) Estimation with no data point:

Africa - Chad, Djibouti, Equatorial Guinea, Somalia and Swaziland;Asia - Bhutan, Lao People's Oem. Republic and Saudi Arabia.

The concept of household is based on the arrangements made by persons, individually or in groups, for providingthemselves with food or other essentials for living. A household may be either: (a) a one-person household, thatis, a person who makes provision for his or her own food or other essentials for living without combining with anyother person to form a part of a multi-person household; or (b) a multi-person household, that is a group of two ormore persons living together who make common provision for food or other essentials for living. The persons inthe group may pool their incomes and may, to a greater or lesser extent, have a common budget; they may berelated or unrelated persons or constitute a combination of persons both related and unrelated. This concept ofhousehold is known as the "housekeeping" concept. It does not assume that the number of households andhousing units is equal. Although the concept of housing unit implies that it is a space occupied by one household,it may also be occupied by more than one household or by a part of a household (for example two nuclearhouseholds that share one housinQ unit for economic reasons or one household in polygamous society routinelyoccupying two or more housing Units).

243

13. Estimated number of households and annual household growth rate, 1985-2030 withfifteen-year Intervals; changes In number of households in five-year Increments, 20002020: countries or areas

(See notes at end of table.)Nulli68r of househOlds (In thousendS) Annual rate of change (In "to) 5=year Increments (In thousandS)

2000- 2005- 2010- 2015-2005 2010 2015 2020

gena 4966 7167 3.3 3 2.8 747 724 729 765Benin 707 1054 1748 2747 2.7 3.1 3.4 205 235 254 287Botswana 214 367 479 636 3.7 3.2 2.4 44 30 37 47Burkina Faso 1275 1633 2180 3005 1.7 1.7 1.8 150 ln 219 252Burundi 967 1530 2476 3984 3.1 2.7 3 ln 380 389 435Cameroon 18n 3360 5795 9736 4 4 3.9 715 801 919 1095Cape Verde 62 91 145 214 2.6 2.9 3.2 16 18 20 22Central African Republic 495 751 1127 1738 2.8 2.8 2.8 108 125 143 172Chad 885 1113 1580 2202 1.5 1.8 2.2 128 147 173 193Comoros 59 98 160 238 3.4 3.6 3.5 20 20 22 24Congo 376 703 1284 2386 4.3 4.1 4 149 188 244 306Cate d'lvoira 1618 2857 4332 6562 3.9 3.5 3.3 395 537 544 641Oem. Republic of the Congo 5845 10797 18616 33750 4.2 3.9 3.9 1627 2682 3510 4289Djibouti 57 134 191 282 5.8 3.9 2.8 9 23 25 27Egypt 9187 13410 19828 25754 2.6 2.7 2.8 2063 2264 2091 2108Equatorial Guinea 50 103 176 293 5 3.3 3.5 19 24 29 34Eritraa 501 726 1268 2062 2.5 2.9 3.5 179 165 197 232Ethiopia 7605 12303 19481 32603 3.3 3.2 3.1 1865 2339 2975 3664Gabon 194 310 460 700 3.2 3 2.8 43 50 58 71Gambia 87 164 268 396 4.3 4.6 3.9 35 33 36 40Ghana 2415 4163 7138 11423 3.7 3.7 3.7 841 1000 1134 1258Guinea 678 1115 1629 2445 3.4 3.1 3.3 85 213 215 242Guinea-Bissau 106 139 196 279 1.8 2.1 2.3 18 19 21 23Kenya 3679 7238 11769 17160 4.6 4.4 4 1485 1575 1470 1592Lesotho 281 412 573 828 2.6 2.5 2.4 52 50 59 74Liberia 352 307 810 1437 -0.9 2.8 3.1 295 112 96 144Libyan Arab Jamahiriya 538 789 1028 1300 2.6 2.3 2.2 99 87 53 59Madagascar 2157 3280 5082 7600 2.8 2.7 2.6 454 553 795 814Malawi 1794 1743 1611 2395 -0.2 -0.5 -1.3 -62 -48 -23 163Mali 1268 1827 2836 4536 2.5 2.4 2.7 271 326 413 492Mauritania 278 373 533 740 2 2.3 2.4 49 52 59 65Mauritius 220 279 332 365 1.6 1.3 1.3 18 16 19 12Morocco 3687 5390 7324 9344 2.6 2.5 2.4 663 667 603 710Mozambique 2894 3228 3550 4651 0.7 0.9 1.3 176 69 77 266Namibia 219 321 393 502 2.6 2.5 2 38 19 15 28Niger 962 1307 1863 2595 2.1 2.1 2.2 153 180 223 233Nigeria 12313 28009 49453 75707 5.6 4.9 4.4 6903 7494 7047 7619Reunion 133 198 267 330 2.7 2.3 2.1 22 23 25 22Rwanda 1328 1468 3007 4632 0.7 2.4 2.2 797 352 390 467Senegal 605 928 1469 2270 2.9 2.9 3 148 179 213 240Somalia 1002 1271 2204 3894 1.6 2.4 2.8 270 315 348 460South Africa' 0 12228 20038 23325 0.3 8.7 5.6 3713 2969 1129 947Sudan 3259 3315 4808 6423 0.1 0.5 1.4 258 519 516 559Swaziland 63 212 419 640 8.5 6.9 5.7 65 75 66 69Togo 583 957 1584 2654 3.4 3.3 3.3 166 203 258 303Tunisia 1323 2023 2702 3229 2.9 2.6 2.4 246 235 198 lnUganda 3102 3987 6273 10805 1.7 1.9 2.5 482 783 1019 1284United Republic of Tanzania 4046 59n 7968 10785 2.6 2.4 2.1 554 669 768 858zambia 1227 1665 2323 3404 2.1 2.2 2.2 192 196 270 324Zimbabwe 1637 2940 4204 5923 4 3.4 2.6 418 403 443 520••

amas 55 70 81 89 1.7 1.4 1.1 4 4 4 3Berbados 72 85 100 111 1.2 1.2 1.1 5 5 5 4Belize 31 48 76 109 3.1 3.1 3.1 8 9 11 11Canada 9150 12690 16880 20692 2.2 2.2 2 1360 1399 1430 1292Costa Rica 562 1026 1667 2329 4.1 3.9 3.8 210 219 212 214Cuba 27n 4053 5069 5830 2.6 2 1.6 311 374 332 292Dominican Republic 1300 2090 2980 3790 3.2 2.9 2.6 281 306 303 289EI Salvador 1086 16n 2609 3748 2.9 3.4 3.3 290 304 338 363

244

13. Estimated number of households and annual household Prrowth rate, 1985-2030 withfifteen-year intervals; changes in number of households n five-year Increments, 2000-2020: countries or areas (continued)

(See notes at end of table.)Number 01 households (In thousands) Annual rate 01 change (In "lo) 5=year Increments (In thousands)

1985 2000 2015 2030 1985· 2000- 2015- 2000- 2005· 2010· 2015·2000 2015 2030 2005 2010 2015 2020

Guadeloupe 96 140 179 212 2.5 2.3 1.9 13 13 13 12Guatemala 1287 1791 2692 3853 2.2 2.5 2.7 261 298 343 378Haiti 1139 1583 2323 3203 2.2 2.4 2.7 228 272 240 261Honduras 689 1187 1997 2959 3.7 3.7 3.6 236 271 304 318Jamaica 449 506 552 587 0.8 0.4 0.6 15 14 17 14Martinique 97 127 154 176 1.8 1.6 1.4 9 10 9 8Mexico 14340 22970 31880 39858 3.2 2.9 2.5 2945 2972 2993 2887Netherlands Antilles 50 68 90 110 2 2 2.1 7 7 8 7Nicaragua 502 633 1437 2263 3.4 3.6 3.7 176 193 235 263Panama 446 707 1011 1297 3.1 2.8 2.6 97 103 104 101Puerto Rico 882 1177 1428 1681 2 1.7 1.5 86 79 85 86Suriname 83 104 129 154 1.5 1.3 1.1 8 7 11 9Trinidad & Tobago 256 296 355 381 1 1.1 1.4 25 21 13 8United States 85813 107296 132391 154477 1.5 1.4 1.4 8002 8445 8648 7905

AMERICA, SOUTH

ArgentinaBoliviaBrazilChileColombiaEcuadorGuyanaParaguayPeruUruguayVenezuela

79001171

30093271854751800158677

3805861

3284

105571616

45228413387763107

1821165565010235288

138632313

617125915

130614810208

2016792212157942

173253165

759457861

176606573229

312899791441

10657

22.22.82.83.23.70.93.72.71.23.2

22.42.62.62.93.50.73.82.51.23.1

22.42.42.52.83.30.83.72.41.2

3

1075205

5841533

1324545

924873659

631

1104230

5562610

1411567

828677664

904

1127261

5082638

1550591

931776069

918

1148284

4866658

1555598

834172775

917

rmenia 671 880 703 693 0.1 -0.1 0.1 ·2 18 8 -8Azerbaijan 1332 1561 1893 2067 1.1 0.9 1.2 83 128 121 61Bahrain 68 100 128 140 2.7 2 1.7 9 9 10 7Bangladesh 16541 24136 34608 43883 2.6 2.9 2.9 4062 3702 2708 3046Bhutan 266 370 587 913 2.2 2.4 2.6 59 72 86 98Brunei Darussalam 39 54 68 71 2.2 2 1.6 5 5 4 2Cambodia 1442 2210 3479 4946 2.9 3 2.9 378 437 454 490China 236260 360982 516781 667632 2.9 2.6 2.5 45770 56867 53162 51856China, Hong Kong SAR 1445 1979 2675 2923 2.1 2.4 2.5 317 221 158 112China. Macau SAR 75 154 234 279 4.9 4.4 3.5 32 25 23 19Cyprus 176 200 230 234 0.9 1.1 1.2 13 10 7 3Georgia 1274 1343 1340 1393 0.4 -0.2 -0.3 -48 22 23 18India 132023 185929 252432 308339 2.3 2.2 2.1 21655 22440 22407 20871Indonesia 34864 52040 69127 63481 2.7 2.5 2.2 5871 5732 5484 5357Iran (Islamic Republic of) 8885 15154 24070 31219 3.6 3.6 3.4 3115 2892 2909 2262Iraq 2009 2722 3719 5654 2.1 2 1.9 295 340 363 583Israel' 1129 1661 2238 2637 2.6 2.9 2.8 216 187 173 153Japan 37359 48520 54120 56049 1.8 1.5 1.1 2578 1824 1198 949Jordan 327 652 1075 1659 4.7 3.7 4.3 123 143 158 180Kazakhstan 4331 5710 6901 8271 1.9 1.5 1.2 314 439 439 442Kuwait 234 260 399 458 0.7 0.5 0.2 57 50 32 24Kyrgyzstan 814 936 1082 1251 0.9 0.6 0.7 25 58 63 62Lao, People's Oem. Republic 667 983 1581 2446 2.6 2.8 3 155 205 238 257Malaysia 3008 4748 7003 9146 3.1 3 2.7 705 700 849 799Maldives 27 40 66 99 2.6 3.2 3.5 8 9 9 10Mongolia 380 532 746 879 2.6 2.6 2.6 70 82 61 49Myanmar 6880 9893 12952 15430 2.5 2.5 2.2 1226 1003 632 856Nepal 2849 4266 6688 9734 2.7 2.9 3 701 829 892 953Oman 223 359 568 878 32 3.2 3.3 62 74 73 87Pakistan 12294 15609 24982 37058 1.6 2.3 3.1 2601 3174 3599 3861Philippines 9959 15661 23932 33320 3.1 3 3.1 2487 2804 2980 3199Qatar 47 106 121 123 5.5 2.7 1.3 6 6 3 1Korea, Republic of 9618 14180 17662 20375 2.6 2.2 1.7 1329 1062 1091 997Saudi Arabia 1645 2898 4328 6331 3.9 3.1 2.5 457 452 520 622Singapore 578 728 768 722 1.6 1 0.5 17 11 12 -4Sri Lanka 3023 3867 4757 5418 1.7 1.7 1.6 360 289 242 230Syrian Arab Republic 1580 2550 4067 5637 3.3 3.4 3.5 490 553 473 489Tajikistan 838 1104 1414 1801 1.9 1.6 1.5 85 114 111 132

245

13. Estimated number of households and annual household growth rate, 1985-2030 withfifteen-year intervals; changes in number of households in five-year increments, 20002020: countries or areas (continued)

(See notes at end of table.)Number of households (In thousands) Annual rate of change (In %) 5-year Increments (In thousands)

1985 2000 2015 2030 1985- 2000- 2015- 2000- 2005- 2010- 2015-2000 2015 2030 2005 2010 2015 2020

Thailand 10305 15840 19964 23006 2.9 2.4 1.9 1501 1476 1147 1070Turkey 9501 15n9 22310 28529 3.4 3.1 2.8 2406 2001 2123 2195Turkmenistan 508 605 721 951 1.2 1.1 1.1 33 44 40 78United Arab Emirates 449 829 1018 1067 4.2 2.1 1.8 75 74 40 24Uzbekistan 3213 4224 5531 6662 1.8 1.7 1.8 392 494 421 388VietNam 11588 17678 25641 31834 2.9 2.8 2.7 2579 2650 2734 2217Yemen 1292 3152 6448 12714 6.1 5.9 5.7 831 1074 1391 1788

EUROPE

AlbaniaAustriaBelarusBelgiumBulgariaCroatiaCzech RepublicDenmarkEstoniaFinlandFranceGermanyGreeceHungaryIcelandIrelandItalyLatviaLithuaniaLuxembourgMaltaNetherlandsNorwayPolandPortugalRepublic of MoldovaRomaniaRussian FederationSlovakiaSloveniaSpainSwedenSwitzerlandTFYR MacedoniaUkraineUnited KingdomYugoslavia

OCEANIA

5322864278237813071148539622168

4791923

2038232361

30943805

82955

18916788

1051135105

54651639

11833304411316908

499511744603

1043936672602457

14097211252814

6523318313442593285162443752470

5822247

2417635888

39023978

1111225

22542871

1305165132

68141987

13052364912507956

657822032

7231269342853303

5471585524881

3411

7283770332847023359170846972672

6102538

273513855443584074

1421538

23825868

1481200161

78152348

14324396514288496

795312321776

1312449943891643

ln7928961

3848

8293897326548883236168846392786

607,680

293313881543713946

1711828

23473839

1528218179

82942653

14362407215218288

819072396

7561271353624171

72418603321854153

1.41

0.80.80.50.60.70.91.31.11.10.71.60.3

21.71.20.71.51.41.51.51.30.71.20.7

11.9

11.21.3

11.61.20.81.11.3

0.61

0.70.80.20.60.80.70.90.91.10.71.50.31.91.70.90.31.21.51.61.21.10.8

10.70.71.81.21.2

11

1.41.30.9

11.3

0.21

0.70.70.30.50.70.60.50.90.90.61.20.31.71.90.6

-0.10.91.51.6

11.10.80.70.90.61.61.10.80.6

11.21.20.8

11.1

-417499

1594048

1305713

10811709622363610

120605

-6631311

34110662514464

2275707

11728

326201207

36704

1274174

3815386

1524132

114651894

10861050

1403310

104401

11681110

335123429

8871

2755305

9920

10025319932

7491426146

42125

9133

-75

7881-388

920654

79271189

277-844108

324132219854439

273873

54

25518228

4711381

117

3876

-3790

-38-4-365-262

763347

35-22109366

-181987

245119215626

-732025

28-3

-8516413727

2941210

97

Australia 5166 7269 9398 11471 2.3 2.1 1.8 688 714 727 709Fiji 124 156 207 251 1.5 1.6 2 18 17 16 15French Polynesia 35 54 73 91 2.8 2.3 2.1 6 7 7 6Guam 28 37 46 54 2 1.6 1.3 2 3 4 3New Caledonia 37 56 73 90 2.7 2.7 2.4 6 5 6 6New Zealand 1062 1428 1821 2218 2 1.9 1.9 122 137 135 137Papua New Guinea 709 1028 1467 2025 2.5 2.5 2.4 130 148 161 176Samoa 30 36 51 72 1.1 1.4 1.9 4 5 6 7Solomon Islands 43 73 118 175 3.6 3.6 3.5 13 15 17 18Vanuatu 26 34 49 64 1.9 2 2.2 4 5 5 5

NOTES

1 The first data point available for South Africa is 1992, a backward extrapolation further than to 1990 is not ~ssible, therefore no data is available for 1985.The W0wth rate has been calculated for the period 1990 to 2000, for the regional aggregate. An estimation as been used for the period 1985 to 2000.For t e aggregates, an estimation for the period of 1985 to 1990 has been used, as a retro projection was not possible.

21ncluding data for East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967.

246

·~\ jO-"~1 .:..1.)"""':';'" J&. J",..-I-I~

~I J ~,..Loo..1 . ,...JWI .L..;i e:-r: ~ tj,;ll),,, .;;.t,;S;l1 J ;......."lI ....~1 ';;'I)~ ~ J,...LI~

.~~ ,i .:J)~r.' ~ ~I ~ • ;......."ll .....~I : J! ..,.....:)1) 4- J-I..;; .,;JI

Ml PI lIIll\'UHt P.iI ill rfi tJQft~mA~~*~W~~~.W~H.~~~~•• ~~.~~~~~~~m~~B~~~Ilft(itll.m.

HOW TO OBTAIN UNITED NATIONS PUBLICATIONS

United Nations publications may be obtained from bookstores and distributors throughout theworld. Consult your bookstore or write to: United Nations. Sales Section. New York or Geneva.

COMMENT SE PROCURER LES PUBLICATIONS DES NATIONS UNIES

Les publications des Nations Unies sont en vente dans les librairies et les agences depositairesdu monde entier. Informez-vous aupres de votre Iibraire ou adressez-vous a : Nations Unies.Section des ventes. New York ou Geneve.

KAK nOJIYlIHTb Hl.llAHHSI OprAHH1AUHH ObbE.lI.HHEHHblX HAUHfi

J.1JllaHHlt OpraHHJaUHH 061>ellHHeHHblx HauHA MOlKHO KynHTb B KHHlKHblX MaraJHHaXHareHTCTBaX ao acex paAoHax MHpa. HaaollHTe cnp3aKH 06 HJllaHHAX a aaweM KHHlKHOMMaraJHHe HnH nHWItTe no allpecy: OpraHHJaUllA 061>eDllflellJlblX Haullil, CeKullA nonpoDalKe HJD3HHA. HblO.t\OPK Hnll )I(eHeaa.

COMO CONSEGUIR PUBLICACIONES DE LAS NACIONES UNIDAS

Las publicaciones de las Naciones Unidas estlin en venta en librerias y casas distribuidoras entodas partes del mundo. Consuhe a su librero 0 dirijase a: Naciones Unidas. Secci6n de Ventas.Nueva York 0 Ginebra.

Litho in United Nations, New York29933-ApriI2001-2.630ISBN 92-1-161434-1

United Nations publicationSales No. E.Ol.XVII.5

STIESAISTATISER.N/6

, or-.

,~

u

.-

compendium of human settlements statistics...

Documents