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Measuring Progressin Least Developed Countries

a statistical profi le

draft-un-atlas.indd 1 08/23/2006 5:12:27 PM

Measuring progress in least developed countries 3

FOREWORD

During the past few years there have been positive developments in the Least Developed Countries (LDCs)—growth has been favourable in many countries; primary school enrolment has increased in most LDCs; good governance has become priority concern in many; and reforms in the investment climate have moved forward in some countries. But despite these improvements, the more than 750 million people living in the LDCs remain extremely vulnerable. Fifty countries, roughly a quarter of the UN membership, are classifi ed as LDCs: 34 in Africa, 15 in Asia-Pacifi c, and one in the Caribbean.

Measuring Progress in Least Developed Countries: a statistical profi le will be useful to member states, development partners, international organizations, civil society, private sector, the media and the LDCs themselves. The information in this publication provides a measure of the progress made by the LDCs in their social and economic development. It also highlights the challenges they face to meet the goals and objectives of the Brussels Programme of Action and the internationally agreed development goals including the Millennium Development Goals (MDGs). The LDCs themselves are responsible for their own development, and they must be the main driving force behind development efforts. However, assistance and support from the international community is essential to help them plan, mobilize resources, develop the use of technology, improve capacity, and execute national development programmes.

In May 2001 the Third United Nations Conference on the LDCs adopted the Brussels Programme of Action for the Least Developed Countries for the Decade 2001 to 2010 – a commitment to eradicate poverty and improve the quality of lives of people living in these countries through effective partnership. The success of this programme is a clear prerequisite for the international community to meet the broader MDGs by 2015.

The Brussels Programme is a comprehensive poverty reduction and development strategy tailored to the special needs of LDCs. Designed as a framework of partnership between LDCs and their development partners, it incorporates 30 international development goals, including those contained in the Millennium Declaration. These time-bound and measurable goals provide benchmarks for monitoring progress and serve as an effective means for planning, policymaking, institutional reform, and resource mobilization.

This joint publication demonstrates the commitment of the World Bank and the United Nations to work together with the LDCs and all stakeholders to implement fully and effectively the goals of the Brussels Programme and thereby contributing also to the achievement of the Millennium Development Goals.

World BankDevelopment Data Group

United Nations Offi ce of the High Representative for Least Developed

Countries, Landlocked Developing Countries, and Small Island Developing States


Measuring progress in least developed countries4

ACKNOWLEDGEMENTS

Measuring Progress in Least Developed Countries: a statistical profi le is a joint product of the World Bank and the United Nations. The Development Data Group (DECDG) of the World Bank and the UN’s Offi ce of the High Representative for the Least Developed Countries, Landlocked Developing Countries and the Small Island Developing States (UN-OHRLLS) have compiled this statistical profi le of the Least Developed Countries (LDCs) to provide a statistical overview of these countries. It is being released in the context of the midterm comprehensive global review by the United Nations General Assembly in September 2006 of the implementation of the Brussels Programme of Action for the Least Developed Countries for the Decade 2001-2010.

The choice of indicators and text content was shaped through close consultation between the two organizations. The World Bank team, under the management of Shaida Badiee, comprised David Cieslikowski, Richard Fix, Masako Hiraga, Priya Pandya, Sulekha Patel, Will Prince, and Eric Swanson. The United Nations team, under the direction of Anwarul K. Chowdhury, included Om Pradhan, Ricardo Dunn, Ernest Kraka, Yuya Uchida and Daniel Nagashima. And Francesca Coullare and Francesca Perucci of the UN Statistics Division provided advice on the data.

The Development Data Group of the World Bank provided overall design direction, editing, and layout. Staff from the United Nations oversaw publication and dissemination of the book.



INTRODUCTION

The Least Developed Countries (LDCs) are the poorest and weakest members of the international community, and they are the most vulnerable, economically, socially, and environmentally. In 2005, an estimated 750 million people lived in the 50 LDCs—about 12 percent of the world’s population. By 2015, the target year for the Millennium Development Goals (MDGs), another 200 million people will be added, making the reduction, let alone eradication, of poverty more diffi cult in these countries.

The economies of LDCs are marked by startling poverty conditions. Fifty per cent of their populations live on less than $1 dollar a day, and 80 percent on less than $2 a day. Life expectancy is declining as a result of malnutrition, HIV/AIDS, and other diseases like malaria and tuberculosis. And the resources and technologies available to most LDCs are limited.

Several LDCs are further handicapped by geography. Twenty-eight of them are landlocked or far-fl ung, small islands. There are many that are plagued by confl icts and natural disasters, making economic progress a greater challenge for these most disadvantaged countries.

LDCs are defi ned by three criteria set out by the United Nations General Assembly:◊ low-income—based on a three-year average estimate of the gross national income (GNI) per capita (under $750 for

inclusion, above $900 for graduation);◊ human resource weakness—a composite Human Assets Index (HAI) based on indicators of nutrition, health,

education, and adult literacy; and◊ economic vulnerability—a composite Economic Vulnerability Index (EVI) based on indicators of the instability of

agricultural production, the instability of exports of goods and services, the economic importance of non-traditional activities (share of manufacturing and modern services in GDP), merchandise export concentration, the handicap of economic smallness (as measured through the population in logarithm), and the percentage of population displaced by natural disasters.

For more than 25 years, the LDCs have been the focus of international attention and the target of specifi c programmes within the United Nations and the international community. The current Brussels Programme of Action was designed to address specifi c needs of the LDCs and to help them eradicate poverty and improve the standard of living for their peoples.

For most LDCs, offi cial development assistance (ODA) remains a critical resource for achieving objectives, goals and targets of the Brussels Programme. In that context, the recent trend in the increased level of ODA for the LDCs is a welcome sign. Total OECD/DAC aid to LDCs reached US $23.5 billion in 2004 – a sizeable increase from US $15 billion in 2003.

The Bretton Woods institutions, along with the regional and other multilateral fi nancial institutions, have played a critical role in the development of most LDCs and will continue to do so between now and 2010 when the Brussels Programme will conclude, and beyond to 2015 when the MDGs are targeted to be achieved,.

The UN Offi ce of the High Representative for the LDCs, Landlocked Developing Countries, and Small Island Developing States has developed a set of priority actions to further the implementation of the Brussels Programme. These are:

◊ rural development and agriculture;◊ infrastructure, including information and communications technology;◊ good governance, including at local levels where the actual implementation of development projects and

programmes take place;◊ gender mainstreaming and empowerment of women;◊ energy as a driving force for economic development and social well-being; and◊ confl ict resolution.

With the required focus from development partners, there is a far greater chance that the LDCs will achieve the objectives of the Brussels Programme by the end of the decade.



Brussels Programme of Action for the Least Developed Countriesfor the Decade 2001-2010

The Brussels Programme for the decade 2001-2010 was adopted at the Third United Nations Conference on the LDCs in Brussels on 20 May 2001, and was subsequently endorsed by the General Assembly1.A midterm comprehensive global review of the programme is planned for the upcoming 61st session of the General Assembly in September 2006. In a planned high-level meeting, LDCs will report on national implementation reviews during the last fi ve years, the obstacles they faced in the process, and their proposals for what needs to be done during the remaining period of the programme to meet the seven commitments to the maximum extent possible. Following individual assessments at the national level, a similar exercise was undertaken at the regional level organized by the United Nations Offi ce of the High Representative and the United Nations Regional Commissions2. The LDC ministers then gathered at the invitation of the Government of Benin, in Cotonou during 5-8 June 2006, where they consolidated their positions in the Cotonou Strategy for the further implementation of the Brussels Programme in the second half of the Decade 2001-2010. Prior to the High-Level Meeting of the General Assembly, the preparations by the UN membership as a whole will be undertaken at an experts’ meeting of the General Assembly in New York from 5 to 7 September 2006. The United Nations system agencies, including the Bretton Woods institutions, are very much involved in the implementation process of the programme of action, as called for in the Brussels Programme as well as in the relevant resolutions of the General Assembly. Accordingly, the governing bodies of a good number of UN agencies and other multilateral organizations have decided to mainstream the implementation of the Brussels Programme in their work programme. For the midterm review, several of them prepared their own sectoral reports outlining their contribution to the implementation of the programme and are also organizing many special events as part of preparatory process for the review.

1 Resolution 55/279, 12 July 2001. 2 African LDCs in Addis Ababa (21-23 February 2006), and Asia Pacifi c LDCs in Bangkok (14-15 March 2006).



CONTENTS

Foreword

Acknowledgements

Introduction

Contents

Locator map

LDC Development Indicators

LDC Country tables

AfghanistanAngolaBangladeshBeninBhutanBurkina FasoBurundiCambodiaCape VerdeCentral African Republic ChadComorosCongo, Democratic RepublicDjiboutiEquatorial GuineaEritreaEthiopiaGambiaGuineaGuinea-BissauHaitiKiribatiLao People’s Democratic RepublicLesothoLiberia

MadagascarMalawiMaldivesMaliMauritaniaMozambiqueMyanmarNepalNigerRwandaSamoaSão Tomé and PrincipeSenegalSierra LeoneSolomon IslandsSomaliaSudanTanzaniaTimor-LesteTogoTuvaluUgandaVanuatuYemenZambia

Notes to LDC Country tables



Least Developed Countries

Africa (34 countries)

AngolaBeninBurkina FasoBurundiCape VerdeCentral African RepublicChadComorosDemocratic Republic of CongoDjiboutiEquatorial GuineaEritreaEthiopiaThe GambiaGuineaGuinea-BissauLesotho

LiberiaMadagascarMalawiMaliMauritaniaMozambiqueNigerRwandaSão Tomé and PrincipeSenegalSierra LeoneSomaliaSudanTanzaniaTogoUgandaZambia



Asia and Pacifi c (15 countries)

AfghanistanBangladeshBhutanCambodiaKiribatiLao PDRMaldives

MyanmarNepalSamoaSolomon IslandsTimor-LesteTuvaluVanuatuYemen

Latin America and Caribbean (1 country)

Haiti

Haiti



LDC DEVELOPMENT INDICATORS

Table 1. Population and the economy

Table 2. Poverty, hunger, and life expectancy

Table 3. Reproductive health

Table 4. Education - participation and effi ciency

Table 5. Education - completion and outcomes

Table 6. Infant and child health

Table 7. HIV/AIDS

Table 8. Disease prevention

Table 9. Improved water and sanitation

Table 10. Communications

Table 11. Transportation services

Table 12. External debt

Symbols and data presentation conventions..means that data are not available.

0 or 0.0means zero or less than half the unit shown.

$means current U.S. dollars unless otherwise noted

A billion is 1,000 million.

Figures in italics refer to years or periods other than those specifi ed or to growth rates calculated for less than the full period specifi ed.



Population Average annual population growth

rate

Gross national income PPP gross national income

Gross capital formation

Foreign direct investment

per capita per capitamillions $ billions $ $ billions $ % of GDP % of GDP2005 2000-2005 2005 2005 2005 2005 2005 2004

AfricaAngola BeninBurkina FasoBurundiCape VerdeCentral African RepublicChadComorosCongo, Dem. Rep.DjiboutiEquatorial GuineaEritreaEthiopiaGambia, TheGuineaGuinea-BissauLesothoLiberiaMadagascarMalawiMaliMauritaniaMozambiqueNigerRwandaSão Tomé and PrincipeSenegalSierra LeoneSomaliaSudanTanzaniaTogoUgandaZambia

Asia and Pacifi cAfghanistanBangladeshBhutanCambodiaKiribatiLao PDRMaldivesMyanmarNepalSamoaSolomon IslandsTimor-LesteTuvaluVanuatuYemen

Latin America and the CaribbeanHaiti

115.9 2.8 21.5 1,350 35.2 2,210 12.5 7.4

8.4 3.2 4.3 510 9.4 1,110 19.6 1.513.2 3.2 5.2 400 16.1 1,220 20.6 0.7

7.5 3.0 0.7 100 4.8 640 12.1 0.50.5 2.4 0.9 1,870 3.0 6,000 23.3 2.24.0 1.3 1.4 350 4.6 1,140 14.8 -1.09.7 3.4 3.9 400 14.3 1,470 17.4 11.10.6 2.1 0.4 640 1.2 2,000 10.9 0.5

57.5 2.8 6.9 120 41.4 720 14.3 2.80.8 2.1 0.8 1,020 1.8 2,240 12.9 5.00.5 2.3 0.3 710 3.7 7,580 .. 51.44.4 4.3 1.0 220 4.4 1,010 20.1 3.2

71.3 2.1 11.1 160 71.3 1,000 26.3 5.61.5 2.8 0.4 290 2.9 1,920 25.0 15.09.4 2.2 3.5 370 21.1 2,240 11.7 2.61.6 3.0 0.3 180 1.1 700 14.6 1.91.8 0.1 1.7 960 6.1 3,410 36.0 9.03.3 1.4 0.4 130 .. .. 15.9 4.0

18.6 2.8 5.4 290 16.4 880 22.4 1.012.9 2.3 2.1 160 8.4 650 14.5 0.813.5 3.0 5.1 380 13.5 1,000 23.8 3.7

3.1 3.0 1.7 560 6.6 2,150 .. 19.619.8 2.0 6.1 310 25.1 1,270 22.2 4.114.0 3.4 3.3 240 11.2 800 18.5 0.5

9.0 2.4 2.1 230 11.9 1,320 21.0 0.40.2 2.3 0.1 390 .. .. 44.1 94.5

11.7 2.4 8.2 710 20.6 1,770 23.4 0.95.5 4.1 1.2 220 4.3 780 15.0 2.48.2 3.2 .. .. .. .. .. ..

36.2 1.9 23.3 640 72.5 2,000 22.4 7.038.3 2.0 12.7 340 28.0 730 18.9 2.2

6.1 2.7 2.2 350 9.5 1,550 17.6 2.928.8 3.4 7.9 280 43.2 1,500 22.7 3.311.7 1.7 5.7 490 11.1 950 25.8 6.2

29.9 .. 7.0 .. .. .. .. ..141.8 1.9 66.2 470 296.4 2,090 24.4 0.8

0.9 2.6 0.8 870 .. .. 61.0 0.114.1 2.0 5.3 380 35.0 2,490 25.8 2.7

0.1 1.8 0.1 1,390 .. .. .. ..5.9 2.3 2.6 440 12.0 2,020 16.7 0.70.3 2.5 0.8 2,390 .. .. 34.0 1.8

50.5 1.1 .. .. .. .. 15.0 ..27.1 2.1 7.3 270 41.5 1,530 25.7 0.3

0.2 0.8 0.4 2,090 1.2 6,480 .. 0.20.5 2.6 0.3 590 0.9 1,880 35.3 -1.91.0 4.4 0.7 750 .. .. 32.0 ..

.. .. .. .. .. .. .. ..0.2 2.0 0.3 1,600 0.7 3,170 .. 6.9

21.0 3.1 12.7 600 19.3 920 17.2 1.1

8.5 1.4 3.9 450 15.7 1,840 29.5 0.2



Defi nitions and sources

1Population and the economy

■ Population, total—is based on the de facto defi nition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. ■ Average annual population growth rate—is the exponential change for the period indicated. ■ Gross national income (GNI)—is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars converted using the World Bank Atlas method. ■ GNI per capita—is gross national income divided by midyear population. GNI per capita in U.S. dollars is converted using the World Bank Atlas method. ■ PPP GNI—is gross national income converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. ■ Gross capital formation—consists of outlays on additions to the fi xed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offi ces, hospitals, private residential dwellings, and commercial and industrial buildings. Inventories are stocks of goods held by fi rms to meet temporary or unexpected fl uctuations in production or sales, and “work in progress.” According to the 1993 SNA, net acquisitions of valuables

are also considered capital formation. ■ Foreign direct investment, net infl ows—Foreign direct investment are the net infl ows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net infl ows in the reporting economy and is divided by GDP.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.Population estimates are produced by the UN Population Division, and are supplemented by estimates produced by the World Bank’s Human Development Network and Development Data Group in consultation with its operational staff and country offi ces. The UN Population Division’s estimates are reported in World Population Prospects: the 2004 Revision. GNI, GNI per capita, and gross capital formation are estimated by World Bank staff based on national accounts data collected by World Bank staff during economic missions or reported by national statistical offi ces to other international organizations such as the OECD. Purchasing power parity conversion factors are estimates by World Bank staff based on data collected by the International Comparison Program. Foreign direct investment was calculated using the IMF’s Balance of Payments database and are reported in the World Bank’s Debtor Reporting System.

In 2005, LDC’s represented 14% of thepopulation of all developing countries...

...but less than 4% of their GNI measured by purchasing power parity

Least developed countries

Other developing countries

14 %

Population of all developing countries

Least developed countries

Other developing countries

4 %

Total GNI (PPP) of all developing countries

96 %



International poverty line Prevalence ofundernourishment

Life expectancy at birth

yearspopulation below $1 a day % of population total male female

survey year % 1990-92 2001-03 1990 2004 1990 2004 1990 2004Africa

Angola BeninBurkina FasoBurundiCape VerdeCentral African RepublicChadComorosCongo, Dem. Rep.DjiboutiEquatorial GuineaEritreaEthiopiaGambia, TheGuineaGuinea-BissauLesothoLiberiaMadagascarMalawiMaliMauritaniaMozambiqueNigerRwandaSão Tomé and PrincipeSenegalSierra LeoneSomaliaSudanTanzaniaTogoUgandaZambia



2.. 58 38 40 41 38 40 42 43

2003 30.9 20 14 53 55 52 54 54 552003 27.2 21 17 48 48 46 47 49 491998 54.6 48 67 44 44 42 43 46 45

.. .. .. 65 70 63 67 68 741993 66.6 50 45 48 39 45 39 51 40

.. 58 33 46 44 44 43 48 45

.. .. .. 56 63 55 61 57 65

.. 31 72 46 44 44 43 47 45

.. .. .. 51 53 49 52 52 54

.. .. .. 46 43 44 42 48 43

.. .. 73 48 54 46 53 51 561999-2000 23.0 .. 46 45 42 44 42 47 43

1998 26.5 22 27 50 56 49 55 52 58.. 39 24 47 54 47 54 48 54.. 24 37 42 45 41 44 44 46

1995 36.4 17 12 57 36 55 35 59 37.. 34 49 43 42 41 42 44 43

2001 61.0 35 38 51 56 50 54 52 571997-98 41.7 50 34 46 40 44 40 47 40

1994 72.3 29 28 46 48 45 48 47 492000 25.9 15 10 49 53 48 52 51 551996 37.9 66 45 43 42 42 41 45 421995 60.6 41 32 40 45 40 45 40 45

1999-2000 51.7 43 36 31 44 29 42 33 46.. .. .. 62 63 61 62 63 64

1995 22.3 23 23 53 56 52 55 54 571989 57.0 46 50 39 41 37 40 40 43

.. .. .. 42 47 40 46 43 48

.. 31 27 53 57 51 55 54 582000-01 57.8 37 44 53 46 51 46 56 47

.. 33 25 57 55 55 53 60 57

.. 24 19 46 49 44 48 48 492002-03 75.8 48 47 46 38 44 39 48 38

.. .. .. .. .. .. .. .. ..2000 36.0 35 30 55 63 55 63 55 64

.. .. .. 54 64 53 62 55 651997 34.1 43 33 54 57 52 53 56 60

.. .. .. 57 .. 55 .. 59 ..2002 27.0 29 21 50 55 49 54 51 57

.. .. .. 61 67 62 68 59 67

.. 10 5 56 61 54 58 58 642003-04 24.1 20 17 55 62 55 62 54 63

.. .. .. 66 70 65 67 68 73

.. .. .. 61 63 60 62 62 63

.. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. ..

.. .. .. 63 69 62 67 65 711998 10.2 34 37 55 61 54 60 55 63

2001 53.9 65 47 49 52 47 51 51 53




2Poverty, hunger, and life expectancy

■ Population below $1 a day is the percentage of the population living on less than $1.08 a day at 1993 international prices. ■ Prevalence of undernourishment—is the percentage of the population that is undernourished. ■ Life expectancy at birth, total—indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The poverty measures are prepared by the World Bank’s Development Research Group. The international poverty lines are based on nationally representative primary household surveys conducted by national statistical offi ces or by private agencies under the supervision of government or international agencies and obtained from government statistical offi ces and World Bank Group country departments. The World Bank Group has prepared an annual review of its poverty work since 1993. For details on data sources and methods used in deriving the Bank’s latest estimates, see Chen and Ravallion (2004), “How Have the World’s Poorest Fared Since the Early 1980s?” Data for undernourishmentare from FAOSTAT (www.fao.org/faostat/foodsecurity/index_en.htm). life expectancy at birth, are mainly from the United Nations Population Division, and are supplemented by estimates produced by the World Bank’s Human Development Network and Development Data Group in consultation with its operational staff and country offi ces. Important inputs to the World Bank’s demographic work come from, census reports and other statistical publication releases from national statistical offi ces, and Demographic and Health Surveys from Macro International.

Life expectancy has increased in all groups, but in some countries, life expectancy

decreased because of the spread of HIV/AIDS

0

20

40

60

MalawiCentralAfrican Republic

Lesotho

years 1990

2004

0

10

20

30

40

50

60

70

2004200019901980

least developed countrieslow-income countries

all developing countries

middle-income countries

years

Source: World Bank



Total fertility rate Births attended by skilled health staff

Maternal mortality ratio Contraceptive prevalence rate

Pregnant women receiving prenatal

careper 100,000 live birthsnational

estimatesmodeledestimates

% of womenbirths per woman % of total 15-49 %1990 2004 1989-1994 a 2000-2004 a 1990-2004 a 2000 1996-2004 a 2000-2004 a




37.1 6.6 .. 45 .. 1,700 6 666.7 5.7 .. 66 500 850 19 817.3 6.5 42 38 480 1,000 14 736.8 6.8 .. 25 .. 1,000 16 785.4 3.6 .. 76 150 535.6 4.8 .. 44 1,100 1,100 28 626.7 6.4 .. 14 830 1,100 3 425.8 4.1 .. 62 .. 480 26 746.7 6.7 .. 61 1,300 990 31 686.2 4.9 .. 61 74 730 .. 675.9 5.9 5 65 .. 880 .. 866.2 5.3 .. 28 .. 630 8 706.9 5.4 .. 6 870 850 8 275.8 4.5 44 55 730 540 18 916.5 5.8 31 56 530 740 7 847.1 7.1 .. 35 910 1,100 8 624.8 3.5 50 55 .. 550 30 856.9 6.8 .. 51 .. 760 10 856.2 5.1 57 51 470 550 27 807.0 5.9 55 61 1,100 1,800 31 947.4 6.8 .. 41 580 1,200 8 576.1 5.7 40 57 750 1,000 8 646.2 5.4 .. 48 410 1,000 17 858.2 7.7 15 16 590 1,600 14 417.4 5.5 26 31 1,100 1,400 13 925.2 3.9 .. 76 100 29 916.4 4.8 47 58 560 690 11 796.5 6.5 .. 42 1,800 2,000 4 686.8 6.3 .. 25 .. 1,100 .. ..5.6 4.2 86 87 .. 590 7 606.1 4.8 44 46 580 1,500 25 946.4 5.1 .. 61 480 570 26 857.2 7.1 38 39 510 880 23 926.5 5.5 51 43 730 750 34 93

.. .. .. 14 .. .. 10 164.3 3.0 10 13 380 380 59 495.6 4.2 15 37 260 420 31 ..5.5 4.0 .. 32 440 450 24 384.0 .. 72 89 56 .. 21 ..6.0 4.6 .. 19 .. 650 32 276.3 4.1 90 70 140 110 39 814.0 2.3 .. 57 230 360 34 765.1 3.5 7 15 540 740 38 284.8 4.0 76 100 .. 130 .. ..5.5 4.1 85 .. .. 130 11

.. .. .. 18 .. 660 10 61

.. .. .. 100 .. .. .. ..4.9 4.0 87 88 68 130 28 ..7.5 5.9 16 27 370 570 23 41

5.2 3.8 23 24 520 680 27 79

a. Data are for most recent year available.




3Reproductive health

■ Total fertility rate—is the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specifi c fertility rates. ■ Births attended by skilled health staff—are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns. ■ Maternal mortality ratio—is the number of women who die during pregnancy and childbirth, per 100,000 live births. The maternal mortality ratios shown in the table as national estimates are based on national surveys, vital registration, or surveillance or are derived from community and hospital records. Those shown as modeled estimates are based on an exercise by the World Health Organization (WHO), United Nations Children’s Fund (UNICEF), and United Nations Population Fund (UNFPA). For countries with national data reported maternal mortality was adjusted by a factor of under- or over- estimation and misclassifi cation. For countries with no national data, maternal mortality was estimated with a regression model using information on fertility, birth attendants, and GDP. Neither set of ratios can be assumed to provide an accurate estimate of maternal mortality for any of the countries in the table. ■ Contraceptive prevalence rate—is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for married women ages 15-49 only. ■ Pregnant women

receiving prenatal care—is the percentage of women who were attended by skilled health personnel at least once during the pregnancy for reasons related to pregnancy.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The data on fertility rates are compiled or estimated by the World Bank’s Development Data Group. The data on births attended by skilled health staff and national estimates for maternal mortality ratio are from the WHO’s Coverage of Maternity Care (1997) and other WHO sources, UNICEF’s State of the World’s Children 2006 and Childinfo, and Demographic and Health Surveys by Macro International. Contraceptive prevalence rate data are from household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF. Modeled estimates for maternal mortality ratios are from Carla AbouZahr and Tessa Wardlaw’s “Maternal Mortality in 2000: Estimates Developed by WHO, UNICEF, and UNFPA” (2003). The data on pregnant women receiving prenatal care are from United Nations Children’s Fund’s (UNICEF) State of the World’s Children 2006.

Total fertility rates decreased overall, but they are still about three times higher in least developed countries than in high income countries

0

1

2

3

4

5

6

7

2004200019901980

high-income countries

all developing countries

least developed countries

births per woman

Source: World Bank



Gross intake ratein grade 1

Net enrollment ratio Share of cohortreaching grade 5

Children out of school

thousand% of relevant age group % of relevant age group % of grade 1 students primary-school-age chiildren

male female primary secondary male female male female2004 2004 1991 2004 1991 2004 2003 2003 2004 2004




4.. .. 50 .. .. .. .. .. .. ..

112 94 41 83 .. 17 70 69 .. ..76 66 29 40 .. 10 74 78 590 68195 86 53 57 .. .. 64 62 240 27890 89 91 92 .. 55 88 95 3 375 52 52 .. .. .. .. .. .. ..98 70 35 57 .. 11 51 39 .. ..74 66 57 .. .. .. .. .. .. ..

.. .. 54 .. .. .. .. .. .. ..42 35 29 33 .. 19 90 85 40 44

137 110 91 85 .. 24 34 31 2 660 51 16 46 .. 26 86 73 147 167

148 135 22 56 .. 28 .. .. .. ..79 83 48 75 .. 45 .. .. 28 2487 79 27 64 .. 21 87 76 .. ..

106 79 38 45 .. 9 .. .. 52 70144 131 71 86 15 23 58 69 27 18

.. .. .. .. .. .. .. .. .. ..168 164 64 89 .. .. 56 58 136 136164 178 48 95 .. 25 50 38 71 19

69 58 21 46 5 .. 78 70 557 615106 105 35 74 .. 14 81 83 58 60138 129 43 71 .. 4 53 45 475 614

68 51 22 39 5 7 75 72 609 717183 183 66 73 7 .. 43 49 205 185116 117 .. 98 .. 26 66 67 .. 089 91 43 66 .. 15 79 77 296 320

.. .. 43 .. .. .. .. .. .. ..

.. .. 9 .. .. .. .. .. .. ..73 62 40 .. .. .. 92 92 .. ..

125 124 49 91 .. .. 76 76 273 33190 82 64 79 15 .. 79 73 .. ..

164 163 .. .. .. 13 63 64 .. ..110 110 .. 80 .. 24 .. .. 221 214

205 133 .. .. .. .. .. .. 2,108 ..129 131 .. 94 .. 48 63 67 .. ..

.. .. .. .. .. .. 89 93 .. ..154 143 69 98 .. 26 58 61 .. ..124 127 .. .. .. 70 76 88 .. ..123 114 63 84 .. 37 62 63 50 68

78 79 .. 90 .. 51 .. .. 3 3118 117 98 90 .. 37 68 72 267 221115 105 .. 78 .. .. 57 66 .. ..101 101 .. 90 .. 66 96 91 0 a 0 a

.. .. .. 80 .. 26 .. .. 8 7

.. .. .. .. .. 20 .. .. .. ..91 96 .. .. .. .. .. .. .. ..

124 118 .. 94 17 39 .. .. 1 1122 97 51 75 .. .. 78 67 .. ..

.. .. 22 .. .. .. .. .. .. ..

Figures in italics refer to periods other than those specifi ed.a. Less than 0.5.




4Education — participation and effi ciency

■ Gross intake rate in grade 1—is the number of new entrants in the fi rst grade of primary education regardless of age, expressed as a percentage of the population of the offi cial primary school entrance age. ■ Net enrollment ratio—is the ratio of children of offi cial school age based on the International Standard Classifi cation of Education 1997 (ISCED97) who are enrolled in school to the population of the corresponding offi cial school age. ■ Share of cohort reaching grade 5—is the percentage of children enrolled in the fi rst grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method. ■ Children out of school—are the number of primary school age children not enrolled in school.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The data for gross intake rate and net enrollment ratios, share of cohort reaching grade 5, and out of school children are from the UNESCO Institute for Statistics.

The primary net enrollment rate increased in the least developed countries,especially among girls

0

25

50

75

100

FemaleMaleTotal

% of relevant age group

1991

2004

Source: UNESCO Institute for Statistics



Primary completion rate Youth literacy rate Adult literacy rate

% relevant age group % ages 15-24 % ages 15 and overtotal male female male female male female

1991 2004 1991 2004 1991 2004 1990 2000-04 1990 2000-04 2000-04 2000-04 Africa




535 .. .. .. .. .. .. 84 .. 63 83 5421 49 28 59 13 38 57 59 25 33 48 2321 29 26 34 16 25 .. 38 .. 25 29 1546 33 49 39 43 27 58 77 45 70 67 5251 95 54 96 49 95 87 .. 76 .. .. ..27 .. 35 .. 18 .. 66 70 39 47 65 3318 29 30 41 7 18 58 56 38 23 41 13

.. 50 .. 52 .. 49 64 .. 50 .. .. ..46 .. 58 .. 34 .. 80 78 58 63 81 5427 29 .. 33 .. 25 82 .. 64 .. .. ..

.. 50 .. 54 .. 47 97 95 89 95 93 80

.. 43 .. 51 .. 34 73 .. 49 .. .. ..26 55 32 61 19 49 52 .. 34 .. .. ..43 .. 56 .. 30 .. 50 .. 34 .. .. ..17 48 24 58 9 39 62 59 26 34 43 18

.. 27 .. 35 .. 19 .. .. .. .. .. ..59 71 42 60 76 82 77 .. 97 .. 74 90

.. .. .. .. .. .. 75 .. 39 .. .. ..33 45 33 45 34 46 78 73 67 68 77 6528 58 36 60 21 57 76 82 51 71 75 5411 44 13 58 9 30 .. 32 .. 17 27 1233 43 40 45 26 41 56 68 36 55 60 4327 29 33 35 22 23 66 .. 32 .. .. ..17 25 21 30 12 20 25 52 9 23 43 1533 37 36 38 30 37 78 79 67 77 71 60

.. 75 .. 73 .. 77 .. .. .. .. .. ..42 45 51 49 32 42 50 58 30 41 51 29

.. .. .. .. .. .. .. 59 .. 37 47 24

.. .. .. .. .. .. .. .. .. .. .. ..41 49 46 53 37 44 76 85 54 71 71 5261 54 60 55 62 53 89 81 77 76 78 6235 66 48 78 22 55 79 84 48 64 69 38

.. 57 .. 61 .. 53 80 83 60 71 77 58

.. 66 .. 71 .. 61 86 73 76 66 76 60

.. .. .. .. .. .. .. 51 .. 18 43 1349 76 .. 74 .. 79 51 .. 33 .. .. ..

.. .. .. .. .. .. .. .. .. .. .. ..

.. 82 .. 85 .. 78 81 88 66 79 85 64

.. 118 .. 116 .. 120 .. .. .. .. .. ..46 74 .. 78 .. 70 79 83 61 75 77 61

.. 100 .. 98 .. 102 98 98 98 98 96 96

.. 78 .. 77 .. 79 90 96 86 93 94 8651 75 .. 80 .. 70 67 81 27 60 63 35

.. 96 .. 94 .. 98 99 .. 99 .. .. ..72 .. .. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. .. .. ..

.. 103 .. 94 .. 113 .. .. .. .. .. ..

.. 87 .. 88 .. 86 .. .. .. .. .. ..

.. 62 .. 78 .. 46 74 .. 25 .. .. ..

27 .. 29 .. 26 .. 56 .. 54 .. .. ..

Figures in italics refer to periods other than those specifi ed..




Adult literacy rate - 2000-2004% of total population

ages 15 and overAfghanistan 28Benin 35Burkina Faso 22Central African Republic 49Chad 26Guinea 29Mali 19Niger 29Senegal 39Sierra Leone 35

5Education — completion and outcomes

■ Primary completion rate—is the percentage of students completing the last year of primary school. It is calculated by taking the total number of students in the last grade of primary school, minus the number of repeaters in that grade, divided by the total number of children of offi cial graduation age. ■ Youth literacy rate—is the literacy rate among people ages 15–24. ■ Adult literacy rate—is the percentage of people ages 15 and older who can, with understanding, both read and write a short, simple statement about their everyday life.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.Data on the primary completion rate and literacy rates are primarily from the UNESCO Institute for Statistics.

The ten countries with the lowest adult literacy rates are all in the least developed countries

0

25

50

75

100

Sierra

Leon

e

Seneg

alNige

rMali

Guinea

Chad

Centra

l

African

Rep

ublic

Burkina

Faso

Benin

Afghan

istan

female

male

Source : UNESCO Institute for Statistics

Adult literacy rate - 2000-2004% of ages 15 and over



Prevalence of childmalnutrition

Exclusivebreastfeeding

Under-fi vemortality rate

Infantmortality rate

Child immunization rate

% of childrenages 12 to 23 months% of children under fi ve % of children

under 6 monthsunderweight stunting per 1,000 per 1,000 live births measles DPT1995-2004 a 1995-2004 a 1998-2004 a 1990 2004 1990 2004 2004 2004




631 45 11 260 260 154 154 64 5923 31 38 185 152 111 90 85 8338 39 19 210 192 113 97 78 8845 57 62 190 190 114 114 75 74

.. .. 57 60 36 45 27 69 7524 28 17 168 193 102 115 35 4037 41 2 203 200 117 117 56 5025 42 21 120 70 88 52 73 7631 38 24 205 205 129 129 64 6418 26 .. 163 126 122 101 60 6419 .. 24 170 204 103 122 51 3340 38 52 147 82 88 52 84 8347 52 55 204 166 131 110 71 8017 19 26 154 122 103 89 90 9233 26 23 240 155 145 101 73 6925 31 37 253 203 153 126 80 8018 46 15 104 112 74 80 70 7827 40 35 235 235 157 157 42 3142 48 67 168 123 103 76 59 6122 49 44 241 175 146 110 80 8933 38 25 250 219 140 121 75 7632 35 20 133 125 85 78 64 7024 41 30 235 152 158 104 77 7240 40 1 320 259 191 152 74 6224 43 84 173 203 103 118 84 8913 29 56 118 118 75 75 91 9923 25 24 148 137 90 78 57 8727 34 4 302 283 175 165 64 6126 23 9 225 225 133 133 40 3041 43 16 120 91 74 63 59 5529 44 41 161 126 102 78 94 9525 22 18 152 140 88 78 70 7123 39 63 160 138 93 80 91 8723 47 40 180 182 101 102 84 80

39 48 .. .. .. .. .. 61 6648 43 36 149 77 100 56 77 8519 40 .. 166 80 107 67 87 8945 45 12 115 141 80 97 80 85

.. .. .. 88 65 65 49 56 6240 42 23 163 83 120 65 36 4530 25 10 111 46 79 35 97 9632 32 15 130 106 91 76 78 8248 51 68 145 76 100 59 73 80

2 4 .. 50 30 40 25 25 6821 .. 65 63 56 38 34 72 8046 49 31 172 80 130 64 55 57

.. .. .. .. .. .. .. .. ..12 20 .. 62 40 48 32 48 4946 52 12 142 111 98 82 76 78

17 23 .. 150 117 102 74 54 43





6Infant and child health

■ Prevalence of child malnutrition—is the percentage of children under age fi ve whose weight for age (underweight) or height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0–59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The reference population, adopted by the WHO in 1983, is based on children from the United States, who are assumed to be well nourished. ■ Exclusive breastfeeding—refers to the percentage of children less than 6 months old who are fed breast milk alone (no other liquids). ■ Under-fi ve mortality rate—is the probability that a newborn baby will die before reaching age fi ve, if subject to current age-specifi c mortality rates. The probability is expressed as a rate per 1,000. ■ Infant mortality rate—is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. ■ Child immunization rate is the percentage of children ages 12–23 months who received vaccinations before 12 months or at any time before the survey for four diseases—measles and diphtheria, pertussis (whooping cough), and tetanus (DPT). A child is considered adequately immunized against measles after receiving one dose of vaccine and against DPT after receiving three doses.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The data on prevalence of child malnutrition are from WHO’s Global Database on Child Growth and Malnutrition. Data for exclusive breastfeeding are from WHO’s World Health Report 2006; and the United Nations Children’s Fund’s (UNICEF) State of the World’s Children 2006.The data for infant and under-fi ve mortality are the harmonized estimates of WHO, UNICEF and World Bank, mainly based on household surveys, censuses, and vital registration; and supplemented by the World Bank’s estimate based on household surveys and vital registration.Data on child immunization are from WHO and UNICEF estimates of national immunization coverage.

Under fi ve mortality rate is signifi cantly higher in the least developed countries

0

50

100

150

200

High incomecountries

All developingcountries

Least developedcountries

per 1,000

Source: Harmonized estimate of WHO, UNICEF and the World Bank

1991

2004



Prevalence of HIV Condom use Comprehensive knowledge of

HIV/AIDS

Aids orphans

total % of young women

ages 15-24

one or both parents died from

AIDSthousands

school attendanceratio to non-orpans

% of population ages 15-49

at the last high-risk sex % of population ages 15-24women men women men ages 10-14

2003 2005 2005 2001-2005 a 2001-2005 a 2000-2004 a 2000-2004 a 2003 2005 1999-2004 aAfrica




73.7 3.7 2.5 55.2 63.6 35.2 42.7 120 160 ..

2 1.8 1.1 50.8 59.5 8.1 10.6 47 62 ..2.1 2 1.4 .. .. .. .. 100 120 ..3.3 3.3 2.3 46 55.2 3.6 3.6 120 120 ..

.. .. .. .. .. .. .. .. .. ..10.8 10.7 7.3 60.6 83.2 .. .. 110 140 ..

3.4 3.5 2.2 .. .. .. .. 38 57 ..<0.1 <0.1 <0.1 .. .. .. .. .. .. ..

3.2 3.2 2.2 .. .. .. .. 640 680 ..3.1 3.1 2.1 .. .. .. .. 4 5.7 ..3.2 3.2 2.3 .. .. .. .. 3.7 4.6 ..2.4 2.4 1.6 .. .. .. .. 28 36 ..

.. .. .. 14.6 36.1 .. .. .. .. ..2.2 2.4 1.7 .. .. .. .. 2.8 3.8 ..1.6 1.5 1.4 .. .. .. .. 20 28 ..3.8 3.8 2.5 .. .. .. .. 7.2 11 ..

23.7 23.2 14.1 49.8 48.6 .. .. 75 97 .... .. .. .. .. .. .. .. .. ..

0.5 0.5 0.3 33 45.6 19.4 15.7 8.2 13 0.814.2 14.1 9.6 .. .. 23.5 36 440 550 0.97

1.8 1.7 1.2 .. .. .. .. 83 94 ..0.7 0.7 0.5 .. .. .. .. 5.7 6.9 ..16 16.1 10.7 .. .. .. .. 330 510 ..1.1 1.1 0.8 .. .. .. .. 35 46 ..3.8 3.1 1.9 .. .. .. .. 220 210 ..

.. .. .. .. .. .. .. .. .. ..0.9 0.9 0.6 .. .. .. .. 18 25 ..1.6 1.6 1.1 .. .. .. .. 28 31 ..0.9 0.9 0.6 .. .. 7.9 12.5 18 23 ..

.. .. .. .. .. .. .. .. .. ..3.2 3.2 2.2 .. .. .. .. 70 88 ..6.8 6.7 5 .. .. .. .. 1,000 1,000 ..6.6 6.5 3.8 .. .. .. .. 970 1,100 ..

16.9 17 12.7 26.1 38.4 40.5 46.1 650 710 0.17

<0.1 <0.1 .. .. .. .. .. .. .. ..<0.1 <0.1 .. .. .. .. .. .. .. ..<0.1 <0.1 .. .. .. .. .. .. .. ..

2 1.6 .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. ..

0.1 0.1 .. .. .. .. .. .. .. .... .. .. .. .. .. .. .. .. ..

1.4 1.3 .. .. .. .. .. .. .. ..0.5 0.5 .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

.. .. .. .. .. .. .. .. .. ..

3.8 3.8 .. .. .. .. .. .. .. ..




7HIV/AIDS

■ Prevalence of HIV, total—refers to the percentage of people ages 15-49 who are infected with HIV. ■ Prevalence of HIV, young women—refers to the estimated percent of young women aged 15–24 living with HIV. ■ Condom use at last high risk sex—refers to the percentage of young people aged 15–24 reporting the use of a condom during sexual intercourse with a non-regular partner. ■ Knowledge of HIV/AIDS—refers to the percentage of young people aged 15–24 who correctly identify ways of preventing the sexual transmission of HIV and who reject major misconceptions. ■ Children orphaned by HIV/AIDS—is the estimated number of children who have lost one or both parents to AIDS before age 15 since the epidemic began. Some of the orphaned children included in this cumulative total are no longer alive; others are no longer under age 15. ■ Orphans school attendance—is the ratio of current school attendance

among orphans to that among non-orphans aged 10–14.

Data are from the UNAIDS’ 2006 Report on the Global AIDS Epidemic.

Prevalence of HIV is high in the least developed countries

0

0.5

1

1.5

2

2.5

3

Middle incomecountries

Low incomecountries


% of populationages 15 and over

Source: UNAIDS

2003

2005



Children with acute respiratory infection taken to health provider

Children with diarrhea who received oral rehydration and

continued feeding

Children sleeping under treated bednets

Children with fever receiving

antimalarial drugs

Incidence of tuberculosis

Tuberculosis treatment

success rate

DOTS detection

rate

% of children under age 5 with ARI

% of children under age 5 with diarrhea

% of children under age 5

% of children under age 5 with fever

per 100,000 people

% of registered cases

% of estimated cases

2000-2004 a 1998-2004 a 2000-2004 a 2000-2004 a 2004 2003 2004Africa




858 32 2.3 63.0 259 68 9429 42 7.4 60.0 87 81 8236 .. 2.0 50.0 191 66 1840 16 1.3 31.0 343 79 29

.. .. .. .. 172 .. 4032 47 1.5 69.0 322 59 412 50 0.6 32.0 279 78 1649 31 9.3 63.0 46 96 3936 17 0.7 45.0 366 83 70

.. .. .. .. 734 73 43

.. 36 0.7 49.0 239 51 8244 54 4.2 4.0 271 85 1416 38 .. 3.0 353 70 3675 38 14.7 55.0 233 75 6633 44 4.0 56.0 240 75 5264 23 7.4 58.0 199 80 7549 29 .. .. 696 70 8670 .. .. .. 310 73 5848 47 0.2 34.0 218 71 7427 51 2.9 27.0 413 73 4043 45 8.4 38.0 281 65 1939 28 .. 33.4 287 58 4351 .. .. .. 460 76 4627 43 5.8 48.0 157 70 4620 16 5.0 13.0 371 67 2947 44 22.8 61.0 107 .. ..27 33 1.7 36.0 245 70 5250 39 1.5 61.0 443 83 36

.. .. 0.3 19.0 411 90 4457 38 0.4 50.0 220 82 3568 38 10.0 58.0 347 81 4730 25 2.0 60.0 355 63 1767 29 0.2 .. 402 68 4369 48 6.5 52.0 680 75 54

28 48 .. .. 333 86 1920 35 .. .. 229 85 44

.. .. .. .. 107 90 3535 59 .. .. 510 93 61

.. .. .. .. 59 88 55036 37 18.0 9.0 156 79 5522 .. .. .. 49 91 9466 48 .. .. 171 81 8324 43 .. .. 184 87 67

.. .. .. .. 28 84 49

.. .. .. .. 59 87 12324 .. 8.3 .. 556 81 46

.. .. .. .. 28 .. ..

.. .. .. .. 59 75 10747 .. .. .. 89 82 40

26 41 .. 12.0 306 78 49





8Disease prevention

■ Children with acute respiratory infection (ARI) who are taken to a health provider—refer to the percentage of children under age fi ve with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician. ■ Children with diarrhea who received oral rehydration and continued feeding—refer to the percentage of children under age fi ve with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fl uids, with continued feeding. ■ Children sleeping under treated bednets—refer to the percentage of children under age fi ve who slept under an insecticide-impregnated bednet to prevent malaria. ■ Children with fever receiving antimalarial drugs—refer to the percentage of children under age fi ve who were ill with fever in the last two weeks and received any appropriate (locally defi ned) antimalarial drugs. ■ Incidence of tuberculosis—is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases. ■ Tuberculosis treatment success rate—is the percentage of new, registered smear-positive (infectious) cases that were cured or in which a full course of treatment was completed. ■ DOTS detection rate—is the percentage of estimated new infectious tuberculosis cases detected under the directly observed treatment, short course case detection and treatment strategy.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.Data on children with acute respiratory infection, diarrhea, children sleeping under treated bednets, and children receiving antimalarial drugs are from UNICEF’s State of the World’s Children 2006, Childinfo and Demographic and Health Surveys by Macro International. The data on tuberculosis are from the WHO’s Global Tuberculosis Control Report 2006.

The incidence of tuberculosis increased by almost 30 percentin the least developed countries between 1990 and 2004

0

100

200

300

High incomecountries

All developingcountries


per 100,000

Source: WHO

1990

2004



Urban population Access to improved sanitation facilities Access to an improved water source

% of total population % of urban population % of rural population % of urban population % of rural population1990 2005 1990 2002 1990 2002 1990 2002 1990 2002




937 53 62 56 19 16 11 70 40 4035 40 31 58 1 12 71 79 54 6014 18 47 45 8 5 63 82 35 44

6 10 42 47 44 35 96 90 67 7844 57 .. 61 .. 19 .. 86 .. 7337 38 32 47 18 12 70 93 35 6121 25 27 30 1 0 45 40 13 3228 37 41 38 16 15 99 90 85 9628 32 56 43 3 23 92 83 24 2976 86 55 55 27 27 82 82 67 6735 39 .. 60 .. 46 .. 45 .. 4216 19 46 34 0 3 60 72 36 5413 16 14 19 2 4 80 81 16 1138 54 .. 72 .. 46 95 95 .. 7728 33 27 25 13 6 70 78 32 3828 30 .. 57 .. 23 .. 79 .. 4917 19 61 61 32 32 .. 88 .. 7445 58 59 49 24 7 85 72 34 5224 27 25 49 8 27 82 75 27 3412 17 52 66 34 42 90 96 34 6223 31 50 59 32 38 50 76 29 3540 40 31 64 26 9 19 63 57 4521 35 .. 51 14 14 .. 76 .. 2415 17 35 43 2 4 62 80 35 36

5 19 49 56 36 38 88 92 57 6944 58 .. 32 .. 20 .. 89 .. 7339 42 52 70 23 34 90 90 50 5430 41 .. 53 .. 30 .. 75 .. 4630 35 .. 47 .. 14 .. 32 .. 2727 41 53 50 26 24 85 78 57 6419 24 51 54 45 41 79 92 27 6230 40 71 71 24 15 81 80 37 3611 13 54 53 41 39 79 87 40 5239 35 64 68 26 32 86 90 27 36

.. .. .. 16 5 5 .. 19 .. 1120 25 71 75 11 39 83 82 68 72

7 11 .. 65 .. 70 .. 86 .. 6013 20 .. 53 .. 8 .. 58 .. 2935 47 33 59 21 22 76 77 33 5315 21 .. 61 .. 14 .. 66 .. 3826 30 100 100 .. 42 100 99 99 7825 31 39 96 15 63 73 95 40 74

9 16 62 68 7 20 94 93 67 8221 22 100 100 98 100 99 91 89 8814 17 98 98 .. 18 .. 94 .. 6521 27 .. 65 .. 30 .. 73 .. 5141 48 83 92 74 83 92 94 89 9219 24 .. 78 .. 42 93 85 53 5221 27 59 76 11 14 74 74 68 68

30 39 27 52 11 23 77 91 43 59




9Improved water and sanitation

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.Data on urban population are from the United Nations

Population Division’s World Urbanization Prospects: The 2005 Revision. Data on water and sanitation are from the WHO and UNICEF’s Meeting the MDG Drinking Water and Sanitation Target (www.unicef.org/wes/mdgreport).

■ Urban population—is the midyear population of areas defi ned as urban in each country and reported to the United Nations. ■ Access to improved sanitation facilities—refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from simple but protected pit latrines to fl ush toilets with a sewerage connection. To be effective, facilities must be correctly constructed and properly maintained. ■ Access to an improved water source—refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwater collection. Unimproved sources include vendors, tanker trucks, and unprotected wells and springs. Reasonable access is defi ned as the availability of at least 20 liters a person a day from a source within one kilometer of the dwelling.

Access to improved water and sanitation has increased in LDCs between 1990 and 2002

0

10

20

30

40

50

60

% of populationin LDCs

Access to Improved sanitation facilities Access to an improved water source

1990

2002



Households with television

Telephones Personalcomputers

Internet users

fi xed mainline mobile subscribers population covered by mobile telephony

% per 1,000 people per 1,000 people % per 1,000 people per 1,000 people2000-2004 a 2003-2004 a 2003-2004 a 2001-2004 a 2003-2004 a 2003-2004 a




109 6 48 .. 3 11

20 9 30 23 4 127 6 31 60 2 4

14 3 9 82 5 349 148 133 90 97 50

2 3 15 .. 3 22 1 13 8 2 6

11 23 3 .. 9 142 0 37 55 .. 1

41 14 30 75 27 12.. 20 113 .. 14 10

14 9 5 0 4 122 6 3 .. 3 2

12 27 118 60 16 339 3 12 .. 5 5

26 7 1 .. .. 1717 21 88 80 .. 24

.. 2 15 16 .. 08 3 18 30 5 52 7 18 70 2 4

15 6 30 15 3 421 13 175 .. 14 5

6 4 36 .. 6 75 2 11 13 1 22 3 16 65 .. 4

36 47 32 .. .. 13129 21 90 85 21 42

7 5 22 35 .. 28 25 63 .. 6 25

49 29 30 60 17 3214 4 44 25 7 951 10 38 80 29 37

6 3 42 70 4 726 8 26 51 10 20

6 2 21 .. .. 129 6 31 50 12 2

3 33 20 .. 12 2223 3 37 87 3 323 47 5 .. 10 2030 13 35 7 4 468 98 353 71 112 59

3 8 2 .. 6 113 15 7 .. 4 796 73 58 .. 7 33

4 14 3 35 43 6.. .. .. .. .. .... .. .. .. .. ..6 33 51 20 14 36

43 39 53 68 15 9

26 17 48 .. .. 59





10Communications

■ Households with television—are the share of households with a television set. Some countries report only the number of households with a color television set, and therefore the true number may be higher than reported. ■ Telephone mainlines—are fi xed telephone lines connecting a subscriber to the telephone exchange equipment. ■ Mobile phone subscribers—are subscribers to a public mobile telephone service using cellular technology. ■ Population covered by mobile telephony measures the percentage of people who are within range of a mobile cellular signal regardless of whether they are subscribers. ■ Internet users—are

people with access to the worldwide network. ■ Personal computers—are self-contained computers designed for use by a single individual.Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The data “households with television”, “personal computers”, “Internet users”, are from the International Telecommunication Union (ITU) and are reported in the ITU’s World Telecommunication Development Report database. Data on telephones are from the ITU’s World Telecommunication Development Report database and World Bank estimates.

Since 2002, mobile phones have been more accessible than fi xed-line phones in LDCs

0

5

10

15

20

25

30

20042001199719941990

mobile phones

fixed-line phones



Roads Railways Ports Air

total road network

pavedroads rail lines

total route-km

passengers carriedmillion

passengers - km

goods hauled

million ton-km

port container traffi c

thousand TEU

registered carrier departures worldwide thousands

passengers carried

thousands

air freight million ton-

kmkm %1999-2003 a 1999-2003 a 2000-2004 a 2000-2004 a 2000-2004 a 2003-2004 a 2003-2004 a 2003-2004 a 2003-2004 a




11 51,429 10.4 2,761 .. .. .. 5 223 64

6,787 20.0 438 66 86 .. 1 46 7 12,506 16.0 622 .. .. .. 1 62 0 14,480 7.1 .. .. .. .. .. .. ..

1,100 78.0 .. .. .. .. 10 282 0 23,810 .. .. .. .. .. 1 46 7 33,400 0.8 .. .. .. .. 1 46 7

880 76.5 .. .. .. .. .. .. .. 157,000 .. 4,499 140 491 .. 5 95 7

2,890 12.6 .. .. .. .. .. .. .. 2,880 .. .. .. .. .. .. .. .. 4,010 21.8 306 .. .. .. .. .. ..

33,856 12.9 .. .. .. .. 30 1,403 117 3,742 19.3 .. .. .. .. .. .. ..

44,348 9.8 837 .. .. .. 1 59 1 4,400 10.3 .. .. .. .. .. .. .. 5,940 18.3 .. .. .. .. 0 1 ..

10,600 6.2 490 .. .. .. .. .. .. 49,827 11.6 883 10 12 .. 18 514 13 28,400 18.5 710 25 88 .. 6 114 1 15,100 12.1 733 196 189 .. 1 46 7

7,660 11.3 717 .. .. .. 2 128 0 30,400 18.7 2,072 137 808 .. 9 299 5 10,100 7.9 .. .. .. .. 1 46 7 12,000 8.3 .. .. .. .. .. .. ..

320 68.1 .. .. .. .. 1 40 0 13,576 29.3 906 138 371 .. 6 421 0 11,300 8.0 .. .. .. .. 0 16 8 22,100 11.8 .. .. .. .. .. .. .. 11,900 36.3 5,478 32 889 .. 8 476 41 78,891 8.6 2,600 471 1,351 .. 6 248 2

7,520 31.6 568 .. .. .. 1 46 7 70,746 23.0 259 .. 218 .. 0 46 27 91,440 22.0 1,273 186 554 .. 5 49 0

34,789 23.7 .. .. .. .. 3 150 8 239,226 9.5 2,745 3,941 777 625,160 7 1,647 180

8,050 62.0 .. .. .. .. 2 46 0 12,323 16.2 650 45 92 .. 4 163 4

670 .. .. .. .. .. .. .. .. 32,620 14.1 .. .. .. .. 9 276 2

.. .. .. .. .. .. 4 76 0 27,966 78.0 .. .. .. .. 25 1,408 3 15,905 53.9 59 .. .. .. 6 449 7

790 42.0 .. .. .. .. 11 183 3 1,360 2.5 .. .. .. .. 10 83 2

.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ..

1,070 23.9 .. .. .. .. 1 105 2 67,000 11.5 .. .. .. 377,367 16 995 60

4,160 24.3 .. .. .. .. .. .. ..





11Transportation services

■ Total road network—covers motorways, highways, main or national roads, secondary or regional roads, and all other roads in a country. ■ Paved roads—are roads surfaced with crushed stone (macadam) and hydrocarbon binder or bituminized agents, with concrete, or with cobblestones. Rail lines—are the length of railway route available for train service, irrespective of the number of parallel tracks. Railways passenger-km—is the unit of measure representing the transport of one rail passenger by rail over a distance of one kilometer ■ Goods (freight) hauled, metric tonnes-km—is the unit of measure of goods transport which represents the transport of one metric tonne of goods by rail over a distance of one kilometer. ■ Port container traffi c—measures the fl ow of containers from land to sea transport modes and vice versa in twenty-foot-equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffi c is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units. ■ Registered carrier departures worldwide—are domestic

takeoffs and takeoffs abroad of air carriers registered in the country. ■ Air passengers carried—include both domestic and international passengers of air carriers registered in the country. ■ Air freight—is the sum of the metric tons of freight, express, and diplomatic bags carried on each fl ight stage (the operation of an aircraft from takeoff to its next landing), multiplied by the stage distance, by air carriers registered in the country.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The data on “roads” are from the IRF’s World Road Statistics supplemented by World Bank staff estimates. The data on “railways” are from a database maintained by the World Bank’s Transport and Urban Development Department, Transport Division. The data on “port container traffi c” are from Containerisation International’s Containerisation International Yearbook. And the data on “air transport” are from the ICAO’s Civil Aviation Statistics of the World and ICAO staff estimates.

Physical isolation is a strong contributor to poverty. Populations without reliable access to social and economic services are poorer than those with reliable access. Problems of access are particularly severe in those rural areas that are distant from roads that carry motorized transport services on a regular basis. An estimated 900 million rural dwellers in developing countries, most of whom are poor, are without reliable access.

In many developing countries, increasing agricultural productivity is central to rural development and poverty reduction strategies. Improved rural transport makes it easier for farmers to obtain inputs and advice at reasonable cost and to sell their products at good prices. Farmers with diffi cult access to local markets earn less for their products than farmers with easier access, and increases in output are associated with agricultural areas with improved roads.

An indicator has been developed to measure rural transport access based on the proportion of rural populations that lives within 2 kilometers of an all-season road (a road that can be used all year by the prevailing means of rural transport, often a pick-up or truck that does not have four-wheel-drive). Predictable interruptions of short duration during inclement weather (for example, heavy rainfall) are excepted, particularly on low volume roads. The rural access estimates are calculated from representative household surveys.

Rural population access to all-season roads for selected LDCs

(% of rural population)

Bangladesh 37Benin 32Burundi 19Cambodia a 87Chad 5Congo, Dem. Rep. 26Ethiopia 17Gambia, The b 77Guinea 22Lao PDR a 59Madagascar 25Malawi 38Niger 37Tanzania 38Yemen, Rep. 21

Note: Based on surveys between 1997 and 2004a. Nonstandard measurement process resulting in a higher value. b. Survey conducted during 1994-96

Source: World Bank Transport Technical Paper based on household surveys.

Rural access to roads



Total external debt Present value of

debt

Total debt service HIPC decision point

HIPC completion point

Estimated total nominal debt service relief

% of exports of goods,

services, and income$ millions % of GNI % of GNI $ millions

1990 2004 2004 2004 2004Africa




128,592 9,521 68 11.8 14.81,292 1,916 24 1.6 7.6 Jul. 2000 Mar. 2003 460

834 1,967 23 1.2 11.9 Jul. 2000 Apr. 2002 930 907 1,385 15 13.6 66.0 Jul. 2005 Floating 1,472 134 517 46 2.7 5.3698 1,078 75 1.4 ..529 1,701 33 1.3 .. May. 2001 Floating 260 189 306 70 0.9 ..

10,259 11,841 36 1.9 .. Jul. 2003 Floating 10,389 205 429 45 2.5 ..241 291 .. 1.0 ..

.. 681 53 2.1 3.18,630 6,574 30 1.0 5.3 Nov. 2001 Apr. 2004 3,275

369 674 108 8.8 .. Dec. 2000 Floating 90 2,476 3,538 45 4.6 19.9 Dec. 2000 Floating 800

692 765 326 17.3 16.1 Dec. 2000 Floating 790 396 764 44 3.1 4.5

1,849 2,706 760 0.2 ..3,689 3,462 38 1.9 6.01,558 3,418 60 3.2 7.6 Dec. 2000 Floating 1,000 2,468 3,316 33 2.2 5.8 Sep. 2000 Mar. 2003 895 2,113 2,297 57 3.5 .. Feb. 2000 Jun. 2002 1,100 4,650 4,651 17 1.5 4.5 Apr. 2000 Sep. 2001 4,300 1,726 1,950 25 1.7 7.5 Dec. 2000 Apr. 2004 1,190

712 1,656 15 1.3 11.2 Dec. 2000 Apr. 2005 1,400 150 362 185 17.8 25.6 Dec. 2000 Floating 200

3,739 3,938 22 4.5 10.3 Jun. 2000 Apr. 2004 850 1,196 1,723 37 2.6 10.9 Mar. 2002 Floating 950 2,370 2,849 .. .. ..

14,762 19,332 151 1.6 6.06,454 7,799 22 1.1 5.3 Apr. 2000 Nov. 2001 3,000 1,281 1,812 83 1.0 2.02,583 4,822 33 1.5 6.9 Feb. 2000 May. 2000 1,950 6,905 7,279 36 8.5 20.2 Dec. 2000 Apr. 2005 3,900

.. .. .. .. ..12,439 20,344 26 1.1 5.2

84 593 100 1.7 ..1,845 3,377 68 0.6 0.8

.. .. .. .. ..1,768 2,056 76 2.2 9.0

78 345 42 4.3 4.64,695 7,239 .. .. 3.81,640 3,354 37 1.7 5.5

92 562 158 5.9 ..121 176 58 6.4 ..

.. .. .. .. ..

.. .. .. .. ..38 118 35 1.1 1.4

6,352 5,488 37 1.9 3.5

910 1,225 29 3.5 4.0




12External debt and aid

Table 12a Offi cial Development Assistance (ODA)net to LDCs trade capacity -building

$ million % total % donors’ GNI % of total ODAdonor country 1990 2000 2004 1990 2000 2004 1990 2000 2004 2001 2004

Australia 171 293 350 17.9 29.7 24.0 0.06 0.08 0.06 2.1 1.2Austria 106 113 168 63.1 25.7 24.8 0.07 0.06 0.06 .. 1.3Belgium 367 221 645 41.3 27.0 44.1 0.19 0.10 0.18 2.4 7.4Canada 740 308 702 30.0 17.7 27.0 0.13 0.05 0.07 9.3 3.0Denmark 462 537 735 39.4 32.3 36.1 0.37 0.34 0.31 0.6 0.3Finland 317 112 153 37.5 30.2 23.3 0.24 0.09 0.08 1.0 ..France 2,286 1,144 3,169 33.3 27.9 37.4 0.19 0.09 0.15 0.4 1.6Germany 1,769 1,212 2,312 28.0 24.1 30.7 0.12 0.07 0.08 2.6 1.6Greece .. 19 65 .. 8.4 14.0 .. 0.02 0.03 .. 0.2Ireland 21 114 322 36.7 48.7 53.0 0.06 0.14 0.21 0.3 0.2Italy 1,382 389 788 40.7 28.3 32.0 0.13 0.04 0.05 1.4 1.4Japan 1,753 2,159 1,684 19.4 16.0 18.9 0.06 0.04 0.04 0.6 0.4Luxembourg 10 46 87 39.4 37.4 36.9 0.08 0.27 0.31 .. ..Netherlands 834 794 1,453 33.0 25.3 34.6 0.30 0.21 0.25 2.7 3.2New Zealand 18 29 65 18.9 25.6 30.6 0.04 0.07 0.07 10.8 10.7Norway 532 427 837 44.2 33.8 38.1 0.52 0.26 0.33 4.1 2.8Portugal 100 171 878 70.3 63.2 85.2 0.17 0.16 0.53 0.7 1.1Spain 194 144 424 20.1 12.1 17.4 0.04 0.03 0.04 0.1 ..Sweden 775 532 762 38.7 29.6 28.0 0.35 0.24 0.22 0.9 0.8Switzerland 325 270 399 43.3 30.3 25.8 0.14 0.10 0.11 6.3 8.2United Kingdom 834 1,426 2,988 31.7 31.7 37.9 0.09 0.10 0.14 4.8 1.4United States 2,199 1,989 4,504 21.6 20.0 22.9 0.04 0.02 0.04 6.7 3.4

■ Total external debt—is debt owed to nonresidents repayable in foreign currency, goods, or services. It is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. ■ Present value of debt—is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the live of existing loans. ■ Total debt service—is the sum of principal repayments and interest actually paid on total long-term debt (public and publicly guaranteed and private nonguaranteed), use of IMF credit, and interest on short-term debt. ■ HIPC decision point—is the date at which a heavily indebted poor country with an established track record of good performance under adjustment programs supported by the International Monetary Fund and the World Bank commits to undertake additional reforms and to develop and implement a poverty reduction strategy. ■ HIPC completion point—is the date at which the country successfully completes the key structural reforms agreed on at the decision point, including developing and implementing its poverty reduction strategy. The country then receives the bulk of debt relief under the HIPC Debt Initiative without further policy conditions. ■ Estimated

total nominal debt service relief—is the amount of debt service relief, calculated at the decision point, that will allow the country to achieve debt sustainability at the completion point.

Data are from the World Bank’s World Development Indicators database and are based on other original source information as noted below.The main sources of external debt information are reports to the World Bank through its Debtor Reporting System from member countries that have received IBRD loans or IDA credits. Additional information has been drawn from the fi les of the World Bank and the IMF. The data on GNI and exports of goods and services are from the World Bank’s national accounts fi les and the IMF’s Balance of Payments database. Summary tables of the external debt of developing countries are published annually in the World Bank’s Global Development Finance and on its Global Development Finance CD-ROM. Data on the HIPC initiative are from the August 2005 “HIPC Status Report” by the International Monetary Fund and the World Bank. The data on aid fl owsare compiled by DAC and published in its annual statistical report, Geographical Distribution of Financial Flows to Aid Recipients, and its annual Development Cooperation Report. Data are available electronically on the OECD’s International Development Statistics CD-ROM and to registered users at http://www.oecd.org/dataoecd/50/17/5037721.htm



LDC COUNTRY TABLES

AfghanistanAngolaBangladeshBeninBhutanBurkina FasoBurundiCambodiaCape VerdeCentral African Republic ChadComorosCongo, Democratic RepublicDjiboutiEquatorial GuineaEritreaEthiopiaGambiaGuineaGuinea-BissauHaitiKiribatiLao People’s Democratic RepublicLesothoLiberia

MadagascarMalawiMaldivesMaliMauritaniaMozambiqueMyanmarNepalNigerRwandaSamoaSão Tomé and PrincipeSenegalSierra LeoneSolomon IslandsSomaliaSudanTanzaniaTimor-LesteTogoTuvaluUgandaVanuatuYemenZambia



Key IndicatorsLDCs

2000 2005 2005Population, mid-year (millions)Population growth (%)Urban population (% of total population)

GNI (Atlas method, US$ billions)GNI per capita (Atlas method, US$)GNI per capita (PPP, international $)GDP growth (%)GDP per capita growth (%)

Life expectancy at birth (years) 2000 and 2004Infant mortality (per 1,000 live births) 2000 and 2004Child malnutrition (% of children under 5) Adult literacy, male (% of ages 15 and older) Adult literacy, female (% of ages 15 and older) Gross primary enrollment, male (% of age group)Gross primary enrollment, female (% of age group)

Millennium Development Goals (and selected targets to achieve between 1990 and 2015)(estimate closest to date shown, +/- 3 years)

1990 2004Goal 1: halve the $1 a day poverty rate Poverty ($1 a day headcount ratio, %, 1997) Poverty (national poverty line headcount ratio, %, 1994 and 1997) Equity (share of consumption to poorest quintile, %, 1997)Goal 2: ensure that children are able to complete primary schooling Primary completion rate (% of age group) Secondary enrollment (gross, %)Goal 3: eliminate gender disparity in education Gender parity (girls to boys ratio in primary and secondary school, %) Women in nonagricultural sector (% of nonagricultural employment)Goal 4: reduce under-5 mortality by two-thirds Child mortality (under-5 mortality rate per 1,000) Measles immunization (proportion of one-year olds immunized, %)Goal 5: reduce maternal mortality by three-fourths Maternal mortality (modeled estimates, per 100,000 live births) 2000 Births attended by skilled health staff (% of total)Goal 6: halt and begin to reverse the spread of HIV/AIDS and other major diseases HIV/AIDS (HIV prevalence among population ages 15-49, %) Tuberculosis (incidence per 100,000 people)Goal 7: halve the proportion of people without sustainable access to basic needs Access to an improved water source (% of population) Access to improved sanitation facilities (% of population)Goal 8: develop a global partnership for development Fixed line and mobile phone subscribers (per 1,000 people) Aid per capita (US$)

Long-Term Economic Trends1980 1990 2000 2005 1980–90 1990–2000 2000–05

(average annual growth %)Population, mid-year (millions)GDP (US$ millions)

(% of GDP)AgricultureIndustry ManufacturingServicesHousehold fi nal consumption expenditureGeneral gov’t fi nal consumption expenditureGross capital formation Exports of goods and servicesImports of goods and servicesGross savings

Note: Figures in italics are for years other than those specifi ed. .. indicates data are not available.

Under-fi ve mortality rate(per 1,000)

Ratio of girls to boys in primary and secondary

school (%)

LDC country tableAFGHANISTANAfghanistan

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Afghanistan

.. .. 751.8

.. .. 2.3

.. .. 28

.. 7.0 284

.. .. 378

.. .. 1,427

.. 13.8 6.1

.. .. 3.7

.. .. 52

.. .. 9841 39 38

.. 43 ..

.. 13 ..37 127 101

4 56 89

.. ..

.. ..

.. ..

25 ..14 16

54 4118 ..

.. ..20 61

.. 1,900

.. 14

.. 0.1333 333

.. 13

.. 8

2 ..12 ..

15.2 14.0 .. .. -0.9 .. ..3,642 .. 2,462 7,168 .. .. 12.0

.. .. .. .. .. .. .... .. .. .. .. .. .... .. .. .. .. .. .... .. .. .. .. .. .... .. .. .. .. .. .... .. .. .. .. .. ..

13.9 .. .. .. .. .. ..10.8 .. .. .. .. .. ..13.9 .. .. .. .. .. ..

.. .. .. .. .. .. ..

0

50

100

150

200

250

300

2004200019951990

LDCs

Data not availablefor Afghanistan

AfghanistanSurface area = 652 thousand sq. km



2000 2004 2000 2004Prices Central Government FinanceConsumer prices (annual % change) (% of GDP)Implicit GDP defl ator (annual % change) RevenueExchange rate (annual average, local per US$) Tax revenue

ExpenseExport price index ($, 2000 = 100) Military expenditureImport price index ($, 2000 = 100)

Cash surplus/defi citBalance of Payments and Trade

Highest marginal tax rate (%)(US$ millions) IndividualTotal merchandise exports (fob) CorporateTotal merchandise imports (cif)Net trade in goods and services Private Sector DevelopmentCurrent account balance Economy ranking (from 1 to 155) as a % of GDP Ease of doing business

Starting a businessReserves including gold Time required to start a business (days)

Time required to register property (days)External Debt and Resource Flows

Ranked as a major constraint to business(US$ millions) (% of managers surveyed who agreed)Total debt outstanding and disbursed Total debt service

Total debt (% of GDP) Stock market capitalization (% of GDP)Total debt service (% of exports) Bank branches (per 100,000 people)

Foreign direct investment (net infl ows) EnvironmentPortfolio equity (net infl ows)

Agricultural land (% of land area)Net Aid Flows Forest area (% of land area)

Nationally protected areas (% of land area)(US$ millions)Net ODA and offi cial aid CO2 emissions per capita (mt)Aid (% of GNI) GDP per unit of energy useTop 3 donors (in 2004): (2000 PPP $ per kg of oil equivalent)

Energy use per capita (kg of oil equivalent)Share of electricity generated by coal (%)

Movement of people Technology and InfrastructureNet migration (thousands) 1995-2000 and 2000-05 Paved roads (% of total)Migration stock (thousands) Personal computers (per 1,000 people)Refugees (by country of origin, thousands) Internet users (per 1,000 people)Refugees (by country of asylum,thousands) Expenditures for R&D (% of GDP)Workers remittances and compensation of employees

(US $ millions)High technology exports (% of manufactured exports)

ReceivedPaid

Note: Figures in italics are for years other than those specifi ed. 2004 data are preliminary estimates.

Exports and imports Internet users

LDC country table AFGHANISTAN

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

LDCs

per 1,000 people

data not available for Afghanistan

.. ..

.. 9.967.7 49.6

.. ..

.. ..

185 560550 3,200

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

141 2,19016.6 36.7

2 77813 224

0 173

-397 2,14038 43

3,587.3 2,085.50.0 0.0

.. ..

.. ..

.. 14.0

.. 3.4

.. 12.8

.. ..

.. -0.7

.. ..

.. ..

122 a

16 a

7 a

252 a

.. ..

.. ..

.. ..

.. ..

58 581.6 1.3 a

.. 0.3

.. ..

.. ..

.. ..

.. ..

13.3 23.7.. .... .... ..

.. ..

a. Data are for 2005.

United StatesUnited KingdomJapan

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableANGOLAAngola

0

20

40

60

80

100

120

20052004200220001998

LDCs

Angola

0

50

100

150

200

250

300

2004200019951990

LDCs

Angola

13.8 15.9 751.82.5 2.9 2.333 37 28

5.9 21.5 284430 1,350 378

1,470 2,210 1,4273.0 14.7 6.10.5 11.4 3.7

40 41 52154 154 98

31 .. 38.. 83 .... 54 ..

69 .. 10159 .. 89

.. ..

.. ..

.. ..

35 ..11 17

.. ..26 ..

260 26038 64

.. 1,700

.. 45

.. 3.7214 259

32 5030 30

7 5425 74

7.8 10.5 13.8 15.9 3.0 2.7 2.8.. 10,260 9,129 28,038 3.4 1.6 9.1

.. 17.9 5.7 7.9 0.5 -1.4 12.8

.. 40.8 72.1 65.8 6.3 4.4 9.8

.. 5.0 2.9 3.7 -11.1 -0.3 12.0

.. 41.2 22.2 26.4 1.4 -2.2 5.7

.. 35.8 .. .. -0.2 .. ..

.. 34.5 .. .. 6.7 .. ..

.. 11.7 12.7 12.5 -5.1 .. ..

.. 38.9 89.6 76.7 2.2 .. ..

.. 20.9 62.8 61.8 -2.6 .. ..

.. 9.0 21.4 19.1 .. .. 15.3

AngolaSurface area = 1,247 thousand sq. km

















ReceivedPaid



LDC country table ANGOLA

0

5,000

10,000

15,000

20,000

25,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

15

20042003200220012000

Angola

LDCs

per 1,000 people

325.0 23.0 a

418.2 32.7 a

10.0 88.7 a

100 171100 164

7,921 23,120 a

3,040 8,150 a

2,449 3,163

796 6868.7 3.5

1,198 3,197 a

9,408 9,5211,705 2,050

103.1 48.720.7 14.8

879 1,4440 0

307 1,1444.1 6.6

13 71537 12121 25

-120 14546 56 a

433.8 228.812.1 14.0

.. ..266 296

.. ..

.. ..

.. ..4.8 9.1

.. ..

.. ..

.. ..

135 a

155 a

146 a

334 a

.. ..

.. ..

.. ..

.. ..

46 4647.9 47.4 a

.. 6.6

0.48 0.53

3.1 3.1

576 606.. ..

10.4 ..1.1 3.21.1 11.1

.. ..

.. ..


PortugalUnited StatesJapan

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableBANGLADESHBangladesh

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Bangladesh

0

50

100

150

200

250

2004200019951990

LDCs

Bangladesh

128.9 141.8 751.82.0 1.9 2.323 25 28

50.3 66.2 284390 470 378

1,590 2,090 1,4275.9 5.4 6.13.9 3.5 3.7

62 63 5266 56 9848 48 38

.. .. ..

.. .. ..109 107 101109 111 89

33.8 36.0.. 49.8.. 9.0

49 76.. 51

.. 10618 24

149 7765 77

.. 38010 13

.. 0.1264 229

71 7523 48

2 3720 10

82.2 104.0 128.9 141.8 2.4 2.1 1.918,115 30,129 45,443 59,958 3.7 4.8 5.3

31.6 30.3 25.5 20.5 2.1 2.9 2.220.6 21.5 25.3 28.0 6.0 7.3 7.413.8 13.1 15.2 17.0 5.2 7.2 6.847.8 48.3 49.2 51.5 3.8 4.5 5.691.8 86.2 76.8 76.6 2.7 2.9 3.4

6.1 4.2 4.7 5.5 2.7 4.7 11.414.4 17.1 23.9 24.4 7.2 9.2 7.8

5.5 6.1 14.5 16.1 5.4 13.1 7.817.9 13.5 19.9 22.6 3.2 9.7 4.5

3.7 14.4 31.1 29.8 14.8 15.5 8.0

BangladeshSurface area = 144 thousand sq. km

















ReceivedPaid



LDC country table BANGLADESH

0

5,000

10,000

15,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Bangladesh

LDCs

per 1,000 people

2.2 3.21.9 5.0 a

50.3 61.5 a

100 131100 119

6,389 9,190 a

8,883 13,868 a

-2,459 -3,855

-306 -279-0.7 -0.5

1,516 2,825 a

15,717 20,344799 675

34.6 36.08.6 5.2

280 4491 4

1,171 1,4042.4 2.4

103 25333 6563 63

-300 -350988 1,032 a

5.4 5.721.6 20.4

1,968 3,5844 8

10.6 10.47.6 8.19.0 8.81.5 1.2

-0.7 -0.7

.. ..

.. ..

65 a

52 a

35 a

363 a

73.2 ..57.9 ..

2.6 5.9.. 4.5

70 696.8 6.7 a

.. 0.8

0.23 0.26

10.2 10.4

145 159.. ..

9.5 9.51.6 11.90.8 2.2

.. ..

0.1 0.0


United KingdomNetherlandsUnited States

electricitycorruption



Key IndicatorsLDCs












school (%)

LDC country tableBENINBenin

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Benin

0

50

100

150

200

250

2004200019951990

LDCsBenin

7.2 8.4 751.83.0 3.1 2.342 46 28

2.4 4.3 284340 510 378950 1,110 1,4275.8 3.9 6.12.7 0.7 3.7

54 55 5295 90 9823 .. 38

.. 48 ..

.. 23 ..91 111 10163 86 89

.. 30.9

.. 29.0 a

.. 7.4

18 4910 26

49 7146 ..

185 15279 85

.. 850

.. 66

.. 1.879 87

60 6811 32

3 3852 46

3.7 5.2 7.2 8.4 3.3 3.3 3.21,405 1,845 2,255 4,287 2.5 4.8 4.0

35.4 36.1 36.5 32.2 5.1 5.8 4.612.3 13.2 13.9 13.4 3.4 4.1 3.8

8.0 7.8 8.8 7.5 5.1 5.8 2.752.3 50.7 49.6 54.4 0.7 4.2 3.597.7 86.8 82.4 78.1 1.9 2.6 2.3

8.6 11.0 11.6 15.0 0.5 4.4 8.315.2 14.2 18.9 19.6 -5.3 12.2 4.815.8 14.3 15.2 13.5 -4.3 1.8 2.737.3 26.3 28.1 26.1 -6.2 2.1 1.8

1.1 9.9 10.9 10.6 -5.2 23.8 ..

BeninSurface area = 113 thousand sq. km

















ReceivedPaid



LDC country table BENIN

0

250

500

750

1,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

15

20042003200220012000

Benin

LDCs

per 1,000 people

4.2 5.4 b

3.2 1.8 b

712.0 527.5 b

100 171100 144

392 620 b

613 960 b

-179 -360

-81 -331-3.6 -9.3

458 657 b

1,591 1,91675 64

70.6 47.311.8 7.6

67 600 1

239 37810.6 9.4

74 6320 3230 28

-29 99134 175 b

0.1 0.34.3 4.8

87 559 6

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

129 b

107 b

32 b

50 b

.. ..

.. ..

.. ..

.. ..

29 3124.2 21.3 b

.. 11.4

0.22 0.25

3.4 3.4

280 292.. ..

20.0 ..1.4 3.72.1 12.2

.. ..

0.1 2.3

a. Data are for 1999. b. Data are for 2005.

FranceDenmarkUnited States

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableBHUTANBhutan

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

no data availablefor Bhutan

0

50

100

150

200

250

2004200019951990

LDCs

Bhutan

0.8 0.9 751.82.9 2.4 2.3

8 9 28

0.4 0.8 284540 870 378

.. .. 1,4275.6 5.8 6.12.6 3.3 3.7

61 64 5277 67 9819 .. 38

.. .. ..

.. .. ..

.. .. 101

.. .. 89

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..12 ..

166 8093 87

.. 42015 37

.. 0.1204 107

.. 62

.. 70

3 5378 87

0.5 0.6 0.8 0.9 2.1 2.9 2.6131 299 447 840 8.7 5.0 7.5

47.2 36.7 28.4 25.8 5.5 1.7 3.315.6 26.3 35.2 37.9 16.5 6.2 10.0

3.0 7.9 8.5 7.7 13.5 7.3 4.037.2 37.0 36.4 36.3 7.3 7.1 7.170.2 55.0 48.9 32.6 .. 3.6 1.123.7 16.3 21.2 19.8 .. 9.5 8.731.0 32.5 47.4 61.0 4.4 7.9 11.514.1 26.9 29.4 28.2 .. 6.2 8.539.0 30.7 46.9 41.5 .. 8.2 6.6

-20.8 28.6 39.1 53.4 .. .. ..

BhutanSurface area = 47 thousand sq. km

















ReceivedPaid



LDC country table BHUTAN

0

250

500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

10

20

25

20042003200220012000

Bhutan

LDCs

per 1,000 people

4.0 4.66.1 7.0 a

44.9 44.6 a

.. ..

.. ..

103 250 a

175 400 a

.. ..

.. ..

.. ..

318 467 a

204 5937 12

45.6 81.4.. ..

0 10 0

53 7811.9 10.9

8 183 127 11

-5 09 10 a

108.9 105.3.. ..

.. ..

.. ..

38.8 31.39.8 7.4

18.9 16.3.. ..

-2.4 1.9

.. ..

.. ..

104 a

66 a

62 a

72 a

.. 12.5

.. 10.9

9.1 .... ..

12 1266.8 68.0 a

.. 25.1

0.49 0.47

.. ..

.. ..

.. ..

60.7 62.06.2 12.32.8 22.3

.. ..

0.0 ..


DenmarkNetherlandsJapan

transportationcustoms



Key IndicatorsLDCs












school (%)

LDC country tableBURKINA FASOBurkina Faso

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Burkina-Faso

0

50

100

150

200

250

2004200019951990

LDCs

Burkina-Faso

11.3 13.2 751.82.9 3.1 2.317 19 28

2.8 5.2 284250 400 378

1,000 1,220 1,4271.6 4.8 6.1

-1.3 1.6 3.7

47 48 52100 97 98

34 38 38.. 29 .... 15 ..

52 59 10137 47 89

62.7 27.2.. 46.4.. 6.9

20 297 12

62 7613 15

210 19279 78

.. 1,00042 38

.. 2.0158 191

39 5113 12

2 3739 48

6.6 8.5 11.3 13.2 2.6 2.8 3.21,929 3,120 2,601 5,171 3.6 4.0 5.1

28.4 27.8 33.9 30.6 3.1 4.2 5.819.8 20.2 16.2 19.8 3.8 2.3 2.714.7 14.7 10.8 13.5 2.0 1.6 2.251.7 52.0 49.9 49.6 3.8 4.5 12.098.0 81.6 80.9 83.4 2.6 3.7 6.8

9.2 13.2 12.6 12.8 6.2 -0.5 2.615.1 18.2 22.7 20.6 8.6 7.0 8.2

9.0 11.3 9.1 8.7 -0.4 0.0 6.631.3 24.3 25.3 21.9 2.6 1.4 11.3

.. 13.4 9.7 7.4 .. .. ..

Burkina FasoSurface area = 247 thousand sq. km

















ReceivedPaid



LDC country table BURKINA FASO

0

500

1,000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Burkina Faso

LDCs

per 1,000 people


-0.3 6.4 a

5.3 2.1 a

712.0 527.5 a

100 213100 175

209 440 a

611 1,230 a

-421 ..

-319 ..-12.3 ..

244 438 a

1,426 1,96747 59

54.8 40.815.0 ..

23 35-3 0

336 61012.9 12.7

82 8416 5522 39

-121 100573 773 a

0.1 0.90.7 0.5

67 5045 44

.. ..

.. ..

.. ..1.4 1.4

.. ..

.. ..

.. ..

154 a

138 a

45 a

107 a

.. ..

.. ..

.. ..

.. ..

37 4025.3 24.8 a

.. 11.5

0.09 0.09

.. ..

.. ..

.. ..

16.0 ..1.3 2.20.8 4.10.2 ..

3.1 9.8

FranceNetherlandsGermany

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableBURUNDIBurundi

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Burundi

0

50

100

150

200

250

2004200019951990

LDCs

Burundi

6.5 7.5 751.81.7 3.6 2.3

9 11 28

0.8 0.7 284120 100 378600 640 1,427-0.9 0.9 6.1-2.5 -2.6 3.7

43 44 52114 114 9845 .. 38

.. 67 ..

.. 52 ..68 87 10154 73 89

45.2 54.6 a

36.4 .... 5.1 a

41 335 12

82 8213 ..

190 19074 75

.. 1,00019 25

.. 3.3125 343

69 7944 36

1 1247 48

4.1 5.7 6.5 7.5 3.2 1.3 3.0920 1,132 709 800 4.4 -2.9 2.2

62.2 55.9 40.4 34.8 3.1 -1.9 -1.512.6 19.0 18.8 20.0 4.5 -4.3 -6.2

7.4 12.9 8.7 8.8 5.7 -8.7 ..25.1 25.2 40.8 45.1 5.6 -2.8 10.491.4 94.5 89.8 87.3 3.4 -4.8 ..

9.2 10.8 17.6 28.4 3.2 -2.6 ..13.9 14.5 6.1 12.1 6.9 -0.5 ..

8.8 7.9 7.7 8.5 3.4 -1.2 ..23.3 27.8 21.2 36.3 1.5 -1.6 ..

.. -5.4 -0.8 8.5 .. .. ..

BurundiSurface area = 28 thousand sq. km

















ReceivedPaid



LDC country table BURUNDI

0

250

500

200520042003200220012000merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Burundi

LDCs

per 1,000 people


24.3 13.5 b

13.2 16.7 b

720.7 1,076.2 b

100 94100 119

50 110 b

148 280 b

-98 -132

-50 -25-7.1 -4.3

38 101 b

1,108 1,38522 88

156.3 208.639.5 66.0

12 30 0

93 35112.8 54.3

1 445 356 25

-400 19277 100 b

568.1 485.827.1 48.8

.. ..2 4

18.3 ..13.6 ..20.6 ..

6.0 5.7

-2.4 ..

.. ..

.. ..

143 b

88 b

43 b

94 b

.. ..

.. ..

.. ..

.. ..

88 917.7 5.9 b

.. 5.7

0.04 0.04

.. ..

.. ..

.. ..

7.1 ..0.6 4.70.8 3.4

.. ..

0.0 5.9

United StatesFranceBelgium

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableCAMBODIACambodia

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Cambodia

0

50

100

150

200

250

2004200019951990

LDCs

Cambodia

12.7 14.1 751.82.1 2.0 2.317 20 28

3.6 5.3 284280 380 378

1,800 2,490 1,4278.4 7.0 6.16.2 5.0 3.7

56 57 5295 97 9845 .. 38

.. 85 ..

.. 64 ..114 142 10199 131 89

.. 34.1 a

.. 35.9 b

.. 6.9 a

.. 8229 29

73 8748 53

115 14134 80

.. 450

.. 32

.. 1.6584 510

.. 34

.. 16

0 404 35

6.6 9.7 12.7 14.1 3.9 2.7 2.0.. 1,115 3,656 5,391 .. 7.1 6.6

.. 46.4 37.9 32.9 .. 3.9 2.8

.. 13.0 23.0 29.2 .. 14.3 14.2

.. 8.9 16.9 21.5 .. 18.6 14.6

.. 40.6 39.1 37.9 .. 7.1 3.9

.. 91.2 89.8 80.4 .. 5.7 2.3

.. 7.2 5.2 4.9 .. 7.2 4.4

.. 8.2 16.9 25.8 .. 10.9 23.4

.. 6.1 49.8 64.7 .. 21.7 13.9

.. 12.8 61.7 75.8 .. 14.8 12.7

.. 5.6 13.2 18.7 .. 36.2 21.8

CambodiaSurface area = 181 thousand sq. km

















ReceivedPaid



LDC country table CAMBODIA

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Cambodia

LDCs

per 1,000 people

a. Data are for 1997. b. Data are for 1999. c. Data are for 2005.

-0.8 5.7 c

-3.1 5.1 c

3,853.8 4,097.0 c

100 158100 122

1,389 3,100 c

1,939 3,700 c

-730 -420

-428 -217-11.7 -4.4

611 1,158 c

2,628 3,37732 27

71.9 69.11.2 0.8

148 1310 0

398 47811.3 10.3

99 8621 4822 26

100 -10237 304 c

36.9 18.10.0 0.4

121 177104 139

.. 12.8

.. 8.6

.. 9.13.2 2.2

.. -2.2

20 2020 20

133 c

137 c

86 c

56 c

.. 55.9

.. 41.7

.. ..

.. ..

30 3065.4 59.2 c

.. 18.5

0.04 0.04

.. ..

.. ..

.. ..

16.2 ..1.2 2.80.5 3.0

.. ..

0.1 0.2

JapanUnited StatesFrance

corruptioncrime, theft, and disorder



Key IndicatorsLDCs












school (%)

LDC country tableCAPE VERDECape Verde

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Cape Verde

0

50

100

150

200

250

2004200019951990

LDCs

Cape Verde

0.5 0.5 751.82.3 2.3 2.353 58 28

0.6 0.9 2841,280 1,870 3784,760 6,000 1,427

6.6 5.5 6.14.1 3.0 3.7

69 70 5231 27 98

.. .. 38

.. .. ..

.. .. ..120 113 101116 108 89

0.3 0.4 0.5 0.5 2.1 2.4 2.4.. 339 531 1,024 5.9 6.0 5.0

.. 14.4 12.0 6.9 .. 4.0 4.0

.. 21.4 17.9 18.3 .. 5.1 7.4

.. 8.2 9.3 7.3 .. 3.8 6.5

.. 64.3 70.2 74.8 .. 6.7 4.7

.. 93.4 92.9 83.5 .. 7.4 7.8

.. 14.7 21.3 21.6 .. 7.2 -8.5

.. 22.9 19.7 23.3 .. 0.2 6.4

.. 12.7 27.5 34.1 .. 14.6 8.7

.. 43.7 61.4 62.5 .. 8.5 6.7

.. 17.6 9.1 14.5 .. -5.7 -10.7

.. ..

.. ..

.. ..

51 9521 66

.. 10039 ..

60 3679 69

.. 150

.. ..

.. ..158 172

.. 80

.. 42

23 281304 282

Cape VerdeSurface area = 4 thousand sq. km

















ReceivedPaid



LDC country table CAPE VERDE

0

250

500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Cape Verde

LDCs

per 1,000 people


-2.5 0.4 a

-1.2 2.3 a

119.7 88.7 a

100 108100 150

11 18 a

230 440 a

-180 -270

-58 -77-10.9 -9.7

28 174 a

327 51716 26

61.6 54.56.8 5.3

33 200 0

94 14018.1 14.7

23 318 136 9

-5 -510 11 a

0.0 0.0.. ..

87 922 1

.. ..

.. ..

.. ..1.3 0.7

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

18 1820.3 20.8 a

.. ..

0.31 0.31

.. ..

.. ..

.. ..

78.0 ..55.5 96.917.8 50.5

.. ..

4.5 ..

PortugalNetherlandsLuxembourg

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableCENTRAL AFRICAN REPUBLICCentral African Republic

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

no data available forCentral African Republic

0

50

100

150

200

250

2004200019951990

LDCs

Central African Republic

3.8 4.0 751.81.7 1.3 2.341 44 28

1.0 1.4 284270 350 378

1,140 1,140 1,4272.3 2.2 6.10.6 0.9 3.7

41 39 52115 115 9824 .. 38

.. 65 ..

.. 33 ..88 76 10160 52 89

66.6 .... ..

2.0 ..

29 ..11 12

60 ..30 ..

168 19383 35

.. 1,100

.. 44

.. 10.7117 322

48 7523 27

2 1883 26

2.3 3.0 3.8 4.0 2.5 2.3 1.3797 1,488 953 1,369 1.4 2.0 -1.4

40.0 47.6 55.2 53.9 1.6 3.8 2.620.1 19.7 20.0 21.4 1.4 0.7 4.2

7.2 11.3 9.4 .. 5.0 -0.2 4.039.9 32.7 24.8 24.8 1.0 -0.3 -12.993.7 85.7 80.9 .. 1.5 .. ..15.1 14.9 11.3 .. -1.7 .. ..

7.0 12.3 10.8 .. 10.0 .. ..25.2 14.8 13.2 .. -1.2 .. ..41.1 27.6 16.3 .. 0.5 .. ..

1.6 -0.4 9.5 .. .. .. -10.7

Central African RepublicSurface area = 623 thousand sq. km

















ReceivedPaid



LDC country table CENTRAL AFRICAN REPUBLIC

0

50

100

150

200

250

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Central AfricanRepublic

LDCs

per 1,000 people


3.2 2.9 a

2.4 2.3 a

712.0 527.5 a

100 94100 103

161 140 a

117 165 a

.. ..

.. ..

.. ..

136 145 a

858 1,07814 18

90.0 82.4.. ..

1 -130 0

75 1058.0 8.0

19 371 127 2

11 -4572 76 a

0.1 31.155.7 25.0

.. ..

.. ..

.. ..

.. ..

.. ..

.. 1.1

.. ..

.. ..

.. ..

153 a

112 a

14 a

69 a

.. ..

.. ..

.. ..

.. ..

8 836.8 36.5 a

.. 8.7

0.07 0.07

.. ..

.. ..

.. ..

2.7 ..1.6 2.80.5 2.3

.. ..

0.1 0.1

FranceUnited StatesGermany

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableCHADChad

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Chad

0

50

100

150

200

250

2004200019951990

LDCs

Chad

8.2 9.7 751.83.3 3.1 2.324 26 28

1.5 3.9 284180 400 378830 1,470 1,427-0.4 5.6 6.1-3.7 2.3 3.7

44 44 52117 117 9828 37 38

.. 41 ..13 13 ..83 86 10150 56 89

.. ..

.. 64.0 a

.. ..

17 297 15

41 584 ..

203 20032 56

.. 1,100

.. 14

.. 3.5101 279

20 346 8

1 1452 34

4.6 6.1 8.2 9.7 2.7 3.1 3.41,033 1,739 1,383 5,469 6.1 2.2 14.5

45.1 29.3 42.3 22.7 2.3 4.9 2.28.9 17.7 11.6 51.2 8.1 0.6 45.9

10.3 14.4 9.0 4.7 .. .. ..46.0 53.0 46.0 26.1 6.7 0.9 8.498.3 97.6 86.8 58.1 2.6 1.5 5.0

5.5 10.0 7.7 4.9 17.0 -8.3 3.83.2 6.8 23.3 17.4 18.6 4.0 5.0

16.9 13.5 16.9 58.9 6.5 2.3 55.628.9 27.9 34.7 39.3 9.9 -1.7 16.7-2.7 -2.7 7.9 20.7 .. .. 32.3

ChadSurface area = 1,284 thousand sq. km

















ReceivedPaid



LDC country table CHAD

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Chad

LDCs

per 1,000 people


3.8 -5.44.8 20.0 b

713.0 526.6 b

100 846100 374

183 3,230 b

317 850 b

.. ..

.. ..

.. ..

114 231 b

1,138 1,70126 46

82.3 39.5.. ..

115 4780 0

131 3199.6 8.8

4 4725 4615 31

99 271105 437 b

55.0 52.717.7 259.9

.. ..

.. ..

.. ..

.. ..

.. ..1.5 1.0

.. ..

.. ..

.. ..

152 b

154 b

75 b

44 b

.. ..

.. ..

.. ..

.. ..

39 399.8 9.5 b

.. 9.1

0.02 0.01

.. ..

.. ..

.. ..

0.8 ..1.3 1.60.4 6.4

.. ..

.. ..

United StatesFranceGermany

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableCOMOROSComoros

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Comoros

0

50

100

150

200

250

2004200019951990

LDCs

Comoros

0.5 0.6 751.82.1 2.1 2.333 36 28

0.2 0.4 284400 640 378

1,770 2,000 1,4271.9 2.8 6.1

-0.3 0.7 3.7

61 63 5261 52 9825 .. 38

.. .. ..

.. .. ..91 91 10177 80 89

ComorosSurface area = 2.2 thousand sq. km

.. ..

.. ..

.. ..

32 5018 35

71 8417 ..

120 7087 73

.. 480

.. 62

.. 0.188 46

89 9423 23

8 26104 42

0.3 0.4 0.5 0.6 2.6 2.2 2.1124 263 204 382 2.8 1.3 2.2

34.0 39.4 40.9 35.1 3.7 3.0 3.213.2 7.9 11.9 10.1 -2.9 4.0 3.6

3.9 4.0 4.2 3.6 4.9 1.7 1.752.8 52.7 47.2 54.8 3.4 -0.8 0.679.2 79.7 85.5 92.6 3.0 3.2 4.430.9 23.4 13.3 12.6 1.8 -3.6 0.133.2 18.8 13.1 10.9 -4.2 -3.9 -3.6

8.7 13.6 15.1 14.3 9.3 -2.7 3.551.9 35.4 27.0 30.4 -0.2 -2.9 6.4

.. -1.2 14.8 3.5 .. .. ..

















ReceivedPaid



LDC country table COMOROS

0

50

100

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

15

20042003200220012000

Comoros

LDCs

per 1,000 people


.. ..3.8 0.4 a

534.0 395.6 a

100 204100 161

14 20 a

43 75 a

.. ..

.. ..

.. ..

43 86 a

238 3063 3

116.6 82.8.. ..

0 20 0

19 259.2 6.7

11 13.. 00 0

-6 -1061 67 a

0.0 0.10.0 ..

12 12.. ..

.. ..

.. ..

.. ..

.. 20.5

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

65 663.6 2.2 a

.. ..

0.16 0.15

.. ..

.. ..

.. ..

76.5 ..5.6 8.52.8 13.6

.. ..

0.5 ..

FranceCanadaBelgium

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableCONGO, DEMOCRATIC REPUBLICCongo, Dem. Rep.

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Congo,Dem. Rep.

0

50

100

150

200

250

2004200019951990

LDCs

Congo, Dem. Rep.

Congo, Dem. Rep.Surface area = 2,345 thousand sq. km

50.1 57.5 751.82.2 3.0 2.330 33 28

4.2 6.9 28480 120 378

610 720 1,427-6.9 6.6 6.1-8.9 3.5 3.7

42 44 52129 129 98

31 .. 38.. 81 .... 54 ..

51 .. 10146 .. 89

.. ..

.. ..

.. ..

46 ..22 18

.. ..26 ..

205 20538 64

.. 990

.. 61

.. 3.2133 366

43 4618 29

1 3724 32

28.0 37.8 50.1 57.5 3.0 2.8 2.814,395 9,350 4,306 6,974 1.6 -4.9 4.4

26.8 31.0 50.0 46.0 2.5 1.4 0.435.0 29.0 20.3 25.3 0.9 -8.0 9.215.2 11.3 4.8 5.5 1.6 -8.7 3.138.2 40.0 29.7 28.7 2.0 -12.3 5.581.5 79.1 88.0 87.1 3.4 -4.5 ..

8.4 11.5 7.5 6.8 0.0 -17.4 ..10.0 9.1 3.5 14.3 -5.1 -0.7 ..16.5 29.5 22.4 34.1 9.6 -0.5 7.816.4 29.2 21.4 42.2 10.7 -2.4 25.2

7.9 0.8 -3.5 12.9 -13.3 .. ..

















ReceivedPaid



LDC country table CONGO, DEMOCRATIC REPUBLIC

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Congo,Dem. Rep.

LDCs

per 1,000 people


United KingdomBelgiumUnited States

550.0 21.3 a

515.8 23.4 a

69.0 488.3 a

100 186100 181

824 2,190 a

697 2,270 a

.. ..

.. ..

.. ..

.. ..

11,692 11,84125 121

271.6 182.0.. ..

23 00 0

184 1,8154.7 29.1

8 30127 26513 190

-1,410 -322717 539 a

371.7 462.2332.5 199.3

.. ..

.. ..

5.2 8.23.5 6.38.6 ..1.0 ..

-4.0 ..

60 5040 40

155 a

153 a

155 a

106 a

.. ..

.. ..

.. ..

.. ..

10 1059.6 58.9 a

.. 5.0

0.05 0.03

2.3 2.1

292 293.. ..

.. ..

.. ..0.1 0.9

.. ..

.. ..

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableDJIBOUTIDjibouti

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Djibouti

0

50

100

150

200

250

2004200019951990

LDCs

Djibouti

DjiboutiSurface area = 23 thousand sq. km

0.7 0.8 751.83.0 1.8 2.382 85 28

0.6 0.8 284780 1,020 378

1,940 2,240 1,4270.7 3.2 6.1

-2.3 1.4 3.7

52 53 52107 101 98

.. .. 38

.. .. ..

.. .. ..39 44 10128 35 89

.. ..

.. ..

.. ..

32 2911 22

70 75.. ..

163 12685 60

.. 730

.. 61

.. 3.1608 734

78 8048 50

10 43347 82

0.3 0.6 0.7 0.8 5.0 2.5 2.1.. 418 553 702 .. -1.4 2.8

.. 3.3 3.7 .. .. 0.9 ..

.. 20.0 14.2 .. .. -5.6 ..

.. 5.3 2.7 .. .. -9.8 ..

.. 76.6 82.1 .. .. -0.5 ..

.. .. 80.1 .. .. .. ..

.. .. 25.2 .. .. .. ..

.. .. 12.9 .. .. .. ..

.. .. 44.6 .. .. .. ..

.. .. 62.8 .. .. .. ..

.. .. 5.3 .. .. .. ..

















ReceivedPaid



LDC country table DJIBOUTI

0

250

500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

15

20042003200220012000

Djibouti

LDCs

per 1,000 people


FranceJapanUnited States

.. ..2.4 3.0 a

177.7 177.7 a

.. ..

.. ..

32 42 a

207 330 a

.. ..

.. ..

.. ..

68 89 a

262 42914 18

47.4 64.9.. ..

3 330 0

71 6412.6 8.8

21 2514 7

1 6

20 -1028 20 a

1.9 0.523.2 18.0

.. ..

.. ..

.. ..

.. ..

.. ..4.0 4.3

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

69 730.3 0.3 a

.. ..

0.54 0.48

.. ..

.. ..

.. ..

12.6 ..9.1 27.02.0 11.6

.. ..

.. ..

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableEQUATORIAL GUINEAEquatorial Guinea

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Equatorial Guinea

0

50

100

150

200

250

2004200019951990

LDCs

Equatorial Guinea

Equatorial GuineaSurface area = 28 thousand sq. km

0.4 0.5 751.82.4 2.3 2.345 50 28

0.3 .. 284650 .. 378

5,080 7,580 1,4271.5 10.0 6.1

-0.9 7.5 3.7

44 43 52120 122 98

19 .. 38.. 93 .... 80 ..

128 .. 101122 .. 89

.. ..

.. ..

.. ..

50 50.. 30

.. 8211 ..

170 20488 51

.. 8805 65

.. 3.287 239

.. 44

.. 53

4 106172 60

0.2 0.4 0.4 0.5 4.8 2.4 2.3.. 132 1,341 3,231 1.5 21.3 11.8

.. 61.5 7.0 6.8 0.1 7.3 -0.1

.. 10.6 88.0 88.9 6.8 49.2 15.6

.. 1.7 .. .. .. .. ..

.. 27.8 4.9 4.3 5.7 10.1 6.9

.. 80.3 59.2 .. .. 20.3 ..

.. 39.7 21.0 .. .. 6.8 ..

.. 17.4 91.6 .. .. 46.4 ..

.. 32.2 101.7 .. -3.6 66.8 ..

.. 69.6 173.5 .. 6.0 47.5 ..

.. -22.0 9.7 .. .. .. ..

















ReceivedPaid



LDC country table EQUATORIAL GUINEA

0

2,500

5,000

7,500

10,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Equatorial Guinea

LDCs

per 1,000 people


SpainFranceCanada

.. ..75.3 -8.3

712.0 527.5 a

100 265100 188

1,097 6,950 a

451 2,050 a

.. ..

.. ..

.. ..

23 2,102 a

248 2915 5

18.5 9.0.. ..

108 1,6640 0

21 304.8 ..

10 188 50 0

0 05 6 a

0.5 0.6.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

12 1260.9 58.2 a

.. ..

0.36 0.36

.. ..

.. ..

.. ..

.. ..4.5 14.21.6 10.2

.. ..

.. ..

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableERITREAEritrea

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Eritrea

0

50

100

150

200

250

2004200019951990

LDCs

Eritrea

EritreaSurface area = 118 thousand sq. km

3.6 4.4 751.83.7 3.9 2.319 21 28

0.6 1.0 284180 220 378910 1,010 1,427

-13.1 4.8 6.1-16.3 0.8 3.7

53 54 5261 52 9840 .. 38

.. .. ..

.. .. ..68 71 10156 57 89

.. ..53.0 ..

.. ..

19 43.. 31

.. 7230 35

147 8218 84

.. 630

.. 28

.. 2.4225 271

40 578 9

4 1422 61

2.4 3.0 3.6 4.4 2.4 1.6 4.3.. 477 634 986 .. 5.7 3.6

.. 30.6 15.1 22.6 .. 1.5 0.8

.. 12.0 23.0 22.6 .. 15.0 4.1

.. 8.2 11.2 8.2 .. 10.6 6.6

.. 57.4 61.9 54.8 .. 5.7 3.2

.. 104.0 70.9 82.3 .. -5.0 2.6

.. 21.8 63.8 45.3 .. 22.6 5.0

.. 7.8 31.9 20.1 .. 19.1 -8.0

.. 11.4 15.1 8.9 .. -2.5 -7.6

.. 45.0 81.8 56.6 .. 7.5 -4.1

.. 10.1 20.4 9.2 .. -19.7 -19.5

















ReceivedPaid



LDC country table ERITREA

0

250

500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

15

20042003200220012000

Eritrea

LDCs

per 1,000 people


United StatesNorwayItaly

.. ..25.0 10.3 a

9.6 15.0 a

100 266100 321

37 9 a

471 495 a

-402 ..

-105 ..-16.5 ..

36 28 a

311 6813 19

49.1 73.33.1 ..

28 300 0

176 26027.8 28.4

39 956 19

19 16

-9 28013 15 a

376.9 131.12.0 4.2

3 ..1 ..

.. ..

.. ..

.. ..36.4 19.5

.. ..

.. ..

.. ..

137 a

150 a

91 a

91 a

.. 81.8

.. 52.7

.. ..

.. ..

75 7515.6 15.4 a

.. 4.3

0.17 0.17

.. ..

.. ..

.. ..

21.8 ..1.7 3.51.4 11.8

.. ..

.. ..

macroeconomic instabilitycost of fi nancing



Key IndicatorsLDCs












school (%)

LDC country tableETHIOPIAEthiopia

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Ethiopia

0

50

100

150

200

250

2004200019951990

LDCs

Ethiopia

EthiopiaSurface area = 1,104 thousand sq. km

64.3 71.3 751.82.4 1.8 2.315 16 28

8.1 11.1 284130 160 378780 1,000 1,4275.4 8.7 6.12.9 6.8 3.7

42 42 52116 110 9847 .. 38

.. .. ..

.. .. ..76 101 10151 86 89

.. 23.0

.. 44.2

.. 9.1

26 5513 31

68 7740 ..

204 16638 71

.. 850

.. 6

.. ..128 353

25 224 6

2 820 26

37.7 51.2 64.3 71.3 3.1 2.3 2.17,269 12,083 7,845 11,174 2.0 3.5 4.2

58.9 51.9 47.7 47.7 0.6 2.2 3.111.9 11.8 12.4 13.3 3.4 4.0 5.86.0 5.1 5.7 5.1 3.1 3.8 2.4

29.2 36.3 39.9 39.0 3.5 4.5 3.980.0 77.2 73.1 82.2 1.0 2.3 4.8

9.8 13.2 18.9 14.2 4.0 9.6 -0.114.5 12.9 20.5 26.3 4.9 5.9 6.6

7.6 5.6 12.5 16.4 3.2 7.1 15.011.9 8.8 25.0 39.1 3.2 5.8 11.010.8 11.9 16.3 17.2 6.4 10.1 5.1

















ReceivedPaid



LDC country table ETHIOPIA

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Ethiopia

LDCs

per 1,000 people


United StatesUnited KingdomGermany

0.7 11.6 a

6.0 6.0 a

8.1 8.7 a

100 122100 297

486 860 a

1,262 4,160 a

-629 -2,043

13 -6680.2 -6.9

363 1,226 a

5,483 6,574138 97

69.9 67.513.0 5.3

135 5450 0

693 1,8238.9 18.9

130 40211 14739 126

-77 -150662 555 a

66.4 63.1198.0 116.0

53 13413 9

.. 19.8

.. 10.8

.. 22.07.9 3.6

.. -8.0

.. ..

.. ..

101 a

94 a

32 a

56 a

.. 73.6

.. 60.3

.. ..

.. 0.4

31 3213.7 13.0 a

.. 16.9

0.09 0.09

2.7 2.6

291 299.. ..

12.0 12.90.9 3.20.2 1.6

.. ..

0.1 0.2

tax ratestax administration



Key IndicatorsLDCs












school (%)

LDC country tableTHE GAMBIAThe Gambia

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

The Gambia

0

50

100

150

200

250

2004200019951990

LDCs

The Gambia

The GambiaSurface area = 11 thousand sq. km

1.3 1.5 751.83.2 2.6 2.326 26 28

0.4 0.4 284320 290 378

1,640 1,920 1,4275.5 5.0 6.12.2 2.2 3.7

55 56 5292 89 9817 .. 38

.. .. ..

.. .. ..86 79 10174 84 89

.. 26.5 a

64.0 57.6 a

.. 4.8 a

43 ..18 47

64 9821 ..

154 12286 90

.. 54044 55

.. 2.4193 233

.. 82

.. 53

7 99106 43

0.7 0.9 1.3 1.5 3.6 3.4 2.8241 317 421 461 3.6 3.0 3.6

30.8 29.0 35.8 33.0 0.9 3.3 2.014.9 13.1 13.1 13.0 4.7 1.0 7.2

5.6 6.6 5.4 5.1 7.8 0.9 4.254.3 57.9 51.1 53.9 2.7 3.7 5.963.0 75.6 77.8 78.5 -2.4 3.1 4.131.2 13.7 13.7 11.1 1.7 -2.2 4.226.7 22.3 17.4 25.0 0.0 1.9 2.942.7 59.9 48.0 43.4 1.2 -0.2 3.563.6 71.6 56.8 60.3 -5.5 -0.8 5.3

.. 5.3 13.6 11.9 .. 20.9 -7.2

















ReceivedPaid



LDC country table THE GAMBIA

0

50

100

150

200

250

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

The Gambia

LDCs

per 1,000 people


United StatesJapanGermany

0.2 3.2 b

3.7 4.3 b

12.8 28.6 b

100 131100 125

15 9 b

187 237 b

-53 ..

-24 ..-5.8 ..

109 98 b

483 67422 34

114.8 168.111.5 ..

44 600 0

49 6312.3 16.5

3 33 33 2

45 31185 232 b

0.8 0.812.0 7.3

14 8.. ..

.. ..

.. ..

.. ..0.8 0.4

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

75 7846.1 47.1 b

.. 2.3

0.21 0.20

.. ..

.. ..

.. ..

35.4 19.311.4 15.69.1 33.2

.. ..

3.1 2.6

n/an/a



Key IndicatorsLDCs












school (%)

LDC country tableGUINEA

GuineaSurface area = 246 thousand sq. km

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Guinea

0

50

100

150

200

250

2004200019951990

LDCs

Guinea

8.4 9.4 751.82.1 2.2 2.333 36 28

3.4 3.5 284400 370 378

1,930 2,240 1,4271.9 3.0 6.1

-0.2 0.8 3.7

53 54 52112 101 9833 .. 38

.. 43 ..

.. 18 ..70 87 10149 71 89

.. ..40.0 ..

6.4 ..

19 489 26

46 7230 ..

240 15535 73

.. 74031 56

.. 1.5122 240

42 5117 13

2 1547 30

4.8 6.2 8.4 9.4 2.6 3.0 2.2.. 2,818 3,112 2,689 .. 4.4 2.9

.. 23.8 23.2 25.6 .. 4.6 4.3

.. 33.3 35.9 37.6 .. 4.7 3.2

.. 4.6 4.0 4.1 .. 4.0 2.0

.. 42.9 40.9 36.9 .. 3.6 2.0

.. 73.4 79.3 85.2 .. 3.6 3.7

.. 8.9 3.8 6.4 .. 5.0 0.3

.. 17.5 22.0 11.7 .. 2.8 -3.6

.. 30.9 23.6 33.1 .. 4.6 0.7

.. 30.6 28.7 36.3 .. 1.3 -2.4

.. 10.6 14.7 7.1 .. 4.9 -5.4

















ReceivedPaid



LDC country table GUINEA

FranceUnited StatesGermany

n/an/a

0

250

500

750

1,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Guinea

LDCs

per 1,000 people


.. ..11.1 13.2 a

1,746.9 3,642.9 a

100 95100 125

666 910 a

612 845 a

-138 -153

-140 -162-4.5 -4.3

168 263

3,388 3,538155 172

108.9 93.720.4 19.9

10 1000 0

153 2795.0 7.5

20 7226 4817 20

-227 -299735 406 a

1.5 3.9427.2 139.3

1 4227 48

.. ..

.. ..

.. ..1.5 2.9

.. ..

.. ..

.. ..

144 a

145 a

49 a

104 a

.. ..

.. ..

.. ..

.. ..

50 5128.1 27.4 a

.. 0.7

0.15 0.15

.. ..

.. ..

.. ..

16.5 9.83.4 4.80.9 5.0

.. ..

0.1 0.0



Key IndicatorsLDCs












school (%)

LDC country tableGUINEA-BISSAUGuinea-Bissau

0

50

100

150

200

250

2004200019951990

LDCs

Guinea-Bissau

Guinea-BissauSurface area = 36 thousand sq. km

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Guinea-Bissau

1.4 1.6 751.82.8 3.0 2.332 36 28

0.2 0.3 284160 180 378740 700 1,4277.5 3.5 6.14.5 0.5 3.7

44 45 52132 126 98

25 .. 38.. .. .... .. ..

84 .. 10156 .. 89

.. ..

.. ..5.2 ..

.. 27

.. 18

.. 6511 ..

253 20353 80

.. 1,100

.. 35

.. 3.8165 199

.. 59

.. 34

6 8127 50

0.8 1.0 1.4 1.6 2.5 3.0 3.0111 244 215 301 4.0 1.2 -0.5

44.3 60.8 56.4 61.8 4.7 3.9 4.019.7 18.6 13.0 11.2 2.2 -3.1 3.6

.. 8.4 10.5 7.7 .. -2.0 3.536.1 20.6 30.6 27.0 3.5 -0.6 0.773.3 86.9 94.6 84.6 -1.2 2.0 -1.427.6 10.3 14.0 18.2 7.2 1.9 -3.728.2 29.9 11.3 14.6 12.9 -6.5 -4.512.7 9.9 31.8 37.3 -1.7 15.4 4.141.8 37.0 51.6 54.8 0.3 -0.4 -3.5-6.3 15.3 -2.7 3.0 .. -44.0 45.1

















ReceivedPaid



LDC country table GUINEA-BISSAU

0

50

100

150

200

250

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

10

20

20042003200220012000

Guinea-Bissau

LDCs

per 1,000 people

PortugalFranceNetherlands

n/an/a

8.6 0.93.3 7.6 a

712.0 527.5 a

100 130100 175

62 80 a

59 120 a

-25 -31

-11 0-5.6 -0.1

67 80 a

804 76520 45

373.3 283.430.1 16.1

1 50 0

80 7639.6 29.4

15 127 5

11 3

-11 119 19 a

0.9 1.07.6 7.5

2 23.. 7

.. ..

.. ..

.. ..4.4 ..

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

58 5875.4 73.7 a

.. ..

0.19 0.19

.. ..

.. ..

.. ..

10.3 .... ..

2.2 16.9.. ..

.. ..




Key IndicatorsLDCs












school (%)

LDC country tableHAITIHaiti

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

no data availablefor Haiti

0

50

100

150

200

250

2004200019951990

LDCs

Haiti

HaitiSurface area = 28 thousand sq. km

7.9 8.5 751.81.4 1.4 2.336 39 28

3.9 3.9 284490 450 378

1,800 1,840 1,4270.4 2.0 6.1

-1.0 0.5 3.7

51 52 5281 74 9817 .. 38

.. .. ..

.. .. ..

.. .. 101

.. .. 89

.. 53.965.0 ..

.. 2.4

28 ..21 ..

95 ..40 ..

150 11731 54

.. 68023 24

.. 3.8484 306

53 7115 34

7 6425 29

5.5 6.9 7.9 8.5 2.3 1.4 1.41,462 2,864 3,716 4,245 -0.2 -1.5 -0.5

.. .. 28.4 27.9 -0.1 -7.4 -1.2

.. .. 16.6 17.0 -1.7 3.2 0.5

.. .. 9.0 8.4 -1.7 -8.4 -2.2

.. .. 55.0 55.1 0.5 -0.3 -0.481.9 81.4 86.0 91.8 0.9 .. ..10.1 8.0 7.6 8.0 -4.4 .. ..16.9 13.0 26.6 29.5 -0.6 8.6 1.521.6 17.5 12.3 15.6 1.2 -10.3 7.730.5 20.0 32.5 44.9 2.3 -5.2 10.6

.. 6.4 23.7 31.6 .. .. ..

















ReceivedPaid



LDC country table HAITI

0

500

1,000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Haiti

LDCs

per 1,000 people

United StatesCanadaFrance

n/an/a

13.7 15.7 a

11.2 15.5 a

21.5 40.7 a

100 123100 126

318 473 a

1,036 1,471 a

-847 -906

-85 -13-2.3 -0.4

183 134 a

1,169 1,22544 133

31.5 32.04.1 4.0

13 70 0

208 2435.6 6.3

91 9120 3711 25

-105 -10526 30 a

7.6 9.2.. ..

578 876.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

134 a

149 a

203 a

683 a

.. ..

.. ..

.. ..

.. ..

58 584.0 3.8 a

.. 0.4

0.18 0.22

7.0 6.3

257 270.. ..

24.3 .... ..

2.5 59.5.. ..

3.5 ..




Key IndicatorsLDCs












school (%)

LDC country tableKIRIBATIKiribati

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Kiribati

0

50

100

150

200

250

2004200019951990

LDCs

Kiribati

KiribatiSurface area = 0.7 thousand sq. km

0.1 0.1 751.82.6 1.2 2.343 50 28

0.1 0.1 2841,030 1,390 378

.. .. 1,4271.9 0.3 6.1

-0.7 -0.9 3.7

62 .. 5252 49 98

.. .. 38

.. .. ..

.. .. ..109 113 101109 116 89

.. ..

.. ..

.. ..

.. 118

.. 91

.. 111

.. ..

88 6575 56

.. ..72 89

.. ..134 59

48 6425 39

17 52280 171

0.1 0.1 0.1 0.1 2.2 2.3 1.828 28 49 76 1.5 5.2 -0.5

20.7 18.6 7.7 8.9 -2.3 -6.7 11.59.0 7.6 10.7 13.4 -3.9 8.4 -1.62.1 1.2 1.0 0.9 -10.7 8.9 0.0

70.2 73.8 81.6 77.6 0.1 5.3 -2.594.5 102.9 .. .. .. .. ..59.2 52.8 .. .. .. .. ..33.1 93.1 .. .. .. .. ..23.4 11.6 9.6 13.2 .. .. ..

110.2 147.2 65.2 107.3 .. .. ..50.7 .. .. .. .. .. ..

















ReceivedPaid



LDC country table KIRIBATI

0

50

100

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

10

20

25

20042003200220012000

Kiribati

LDCs

per 1,000 people

AustraliaNew ZealandUnited States

n/an/a


.. ..-0.4 0.5 a

1.7 1.3 a

.. ..

.. ..

4 1 a

40 55 a

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

18 1720.2 12.6

5 52 20 1

.. ..2 3 a

.. 0.0

.. ..

7 7.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

45 a

62 a

21 a

58 a

.. ..

.. ..

.. ..

.. ..

51 512.7 2.7 a

.. ..

0.36 0.31

.. ..

.. ..

.. ..

.. ..8.8 10.2

16.5 20.4.. ..

.. ..



Key IndicatorsLDCs












school (%)

LDC country tableLAO PDRLao PDR

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Lao PDR

0

50

100

150

200

250

2004200019951990

LDCs

Lao PDR

Lao PDRSurface area = 237 thousand sq. km

5.3 5.9 751.82.4 2.3 2.319 22 28

1.5 2.6 284280 440 378

1,500 2,020 1,4275.8 7.0 6.13.3 4.6 3.7

54 55 5277 65 9840 .. 38

.. 77 ..

.. 61 ..124 124 101106 109 89

7.8 27.045.0 38.6 a

.. 8.1

46 7424 46

75 8442 ..

163 8332 36

.. 650

.. 19

.. 0.1178 156

.. 43

.. 24

2 4836 47

3.2 4.1 5.3 5.9 2.5 2.4 2.3.. 866 1,735 2,855 3.7 6.5 6.2

.. 61.2 52.6 46.0 3.5 4.8 3.0

.. 14.5 22.9 27.9 6.1 11.1 11.9

.. 10.0 17.0 20.4 8.9 11.7 10.3

.. 24.3 24.5 26.1 3.3 6.6 6.5

.. 93.9 .. .. .. .. ..

.. 10.9 .. .. .. .. ..

.. 13.5 21.8 16.7 .. .. ..

.. 11.8 30.1 27.6 .. .. ..

.. 24.7 34.4 31.4 .. .. ..

.. -3.7 20.1 1.5 .. .. ..

















ReceivedPaid



LDC country table LAO PDR

0

250

500

750

1,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Lao PDR

LDCs

per 1,000 people

JapanSwedenFrance

n/an/a


25.1 10.525.1 6.5 b

7,878.0 10,591.0 b

100 109100 94

330 435 b

535 605 b

-72 ..

-8 ..-0.5 ..

144 275

2,502 2,05641 53

144.2 82.77.9 ..

34 170 0

282 27017.0 11.3

115 7215 2213 20

-7 -724 25 b

16.1 16.10.0 ..

1 10 1

.. ..

.. ..

.. ..2.0 ..

.. ..

40 40.. ..

147 b

102 b

198 b

135 b

.. ..

.. ..

.. ..

.. ..

8 871.6 69.9 b

.. 3.0

0.19 0.23

.. ..

.. ..

.. ..

44.5 14.12.7 3.81.1 3.6

.. ..

.. ..



Key IndicatorsLDCs












school (%)

LDC country tableLESOTHOLesotho

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Lesotho

0

50

100

150

200

250

2004200019951990

LDCs

Lesotho

LesothoSurface area = 30 thousand sq. km

1.8 1.8 751.80.7 -0.2 2.318 18 28

1.1 1.7 284630 960 378

2,660 3,410 1,4271.3 1.2 6.10.6 1.4 3.7

41 36 5275 80 9818 .. 38

.. 74 ..

.. 90 ..117 131 101122 131 89

43.1 36.4 a

.. ..

.. 1.5 a

56 7124 36

124 10425 ..

104 11280 70

.. 55050 55

.. 23.2179 696

.. 7637 37

8 10989 57

1.3 1.6 1.8 1.8 2.1 1.2 0.1431 615 859 1,453 4.5 3.9 2.9

24.6 23.8 18.6 17.3 2.8 2.0 -1.226.5 32.8 41.1 41.3 4.9 5.0 2.7

8.4 13.9 16.8 18.7 8.5 6.6 3.148.9 43.5 40.4 41.5 4.0 4.4 4.3

130.5 138.8 101.3 88.4 3.6 0.5 3.821.4 14.1 19.1 22.5 3.2 6.0 4.037.0 52.7 42.2 36.0 5.0 1.5 -4.019.9 16.8 29.8 56.0 4.9 11.1 10.3

108.9 122.4 92.4 103.0 3.5 0.9 4.649.7 59.5 21.3 32.2 2.2 -3.5 15.5

















ReceivedPaid



LDC country table LESOTHO

0

500

1000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

10

20

25

20042003200220012000

Lesotho

LDCs

per 1,000 people

IrelandUnited KingdomGermany

n/an/a


6.1 6.75.8 3.4 b

6.9 6.4 b

100 270100 158

220 675 b

809 1,410 b

-516 -627

-151 -76-17.6 -5.6

418 520 b

672 76462 53

78.2 55.811.3 4.5

118 1230 0

37 1023.4 6.1

9 155 73 5

-36 -365 6 b

0.0 0.00.0 ..

252 35528 29

45.6 50.432.4 41.739.3 36.5

3.6 2.5

-2.5 5.1

.. ..

.. ..

97 b

111 b

92 b

101 b

.. ..

.. ..

.. ..

.. ..

77 770.2 0.3 b

.. 0.2

.. ..

.. ..

.. ..

.. ..

18.3 .... ..

2.2 23.9.. 0.0

.. ..



Key IndicatorsLDCs












school (%)

LDC country tableLIBERIALiberia

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Liberia

0

50

100

150

200

250

2004200019951990

LDCs

Liberia

LiberiaSurface area = 111 thousand sq. km

3.1 3.3 751.85.2 1.3 2.345 48 28

0.4 0.4 284130 130 378

.. .. 1,42725.7 5.3 6.119.3 3.9 3.7

42 42 52157 157 98

27 .. 38.. .. .... .. ..

115 .. 10183 .. 89

.. ..

.. ..

.. ..

.. ..

.. 32

.. 7324 ..

235 235.. 42

.. 76057 51

.. ..112 310

56 6238 26

4 353 65

1.9 2.1 3.1 3.3 1.3 3.6 1.4954 384 561 548 -7.0 4.1 -6.8

32.2 54.4 72.0 63.6 .. .. ..25.2 16.8 11.6 15.2 .. .. ..

6.9 .. 9.4 12.0 .. .. ..32.3 28.8 16.4 21.1 .. .. ..66.1 .. 89.1 86.9 .. .. ..19.1 .. 14.4 10.8 .. .. ..

.. .. 4.9 15.9 .. .. ..64.3 .. 23.2 36.6 .. .. ..64.4 .. 31.6 50.2 .. .. ..

.. .. -21.4 18.3 .. .. ..

















ReceivedPaid



LDC country table LIBERIA

0

500

1000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Liberia

LDCs

per 1,000 people

United StatesUnited KingdomSweden

n/an/a


.. ..-1.3 9.0 a

41.0 57.1 a

.. ..

.. ..

329 195 a

668 1,180 a

.. ..

.. ..

.. ..

0 25 a

2,032 2,7061 1

362.2 544.6.. ..

21 200 0

68 21017.5 52.8

16 1033 161 13

555 -245160 50 a

266.9 335.569.3 15.2

.. ..

.. ..

.. ..

.. ..

.. ..7.5 7.5

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

27 2735.9 32.7 a

.. 1.7

0.13 0.14

.. ..

.. ..

.. ..

6.2 .... ..

0.2 .... ..

.. ..



Key IndicatorsLDCs












school (%)

LDC country tableMADAGASCARMadagascar

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Madagascar

0

50

100

150

200

250

2004200019951990

LDCs

Madagascar

MadagascarSurface area = 587 thousand sq. km

16.2 18.6 751.82.9 2.7 2.326 27 28

3.9 5.4 284240 290 378810 880 1,4274.8 4.6 6.11.7 1.8 3.7

55 56 5284 76 9833 42 38

.. 77 ..

.. 65 ..102 136 101

98 131 89

46.3 61.0.. 71.3 a

.. 4.9

35 4517 ..

98 ..24 ..

168 12347 59

.. 55057 51

.. 0.5192 218

40 4512 33

3 1933 68

9.1 12.0 16.2 18.6 2.8 3.0 2.84,042 3,081 3,878 5,040 1.1 2.0 2.0

30.1 28.6 29.1 28.1 2.5 1.8 1.716.1 12.8 14.5 15.9 0.9 2.4 1.5

.. 11.2 12.3 14.1 2.1 2.0 2.753.9 58.6 56.4 56.0 0.3 2.4 1.589.3 86.4 85.5 84.2 -0.7 2.3 2.912.1 8.0 6.8 8.1 0.5 0.0 3.615.0 17.0 15.0 22.4 4.9 3.4 13.313.3 16.6 30.7 25.6 -0.8 3.9 -2.529.7 28.0 38.0 40.3 -5.7 4.3 10.3-2.4 9.2 9.4 10.9 51.5 7.5 11.3

















ReceivedPaid



LDC country table MADAGASCAR

0

1,000

2,000

3,000

4,000

5,000


merchandise imports

US$ millions

0

5

10

20042003200220012000

Madagascar

LDCs

per 1,000 people

FranceItalyUnited States

cost of fi nancingmacroeconomic instability


12.0 18.5 b

7.2 18.3 b

1,353.5 2,003.0 b

100 113100 107

824 750 b

997 1,550 b

-332 -529

-260 -309-6.7 -5.6

285 481 b

4,691 3,462117 81

121.0 79.39.6 6.0

83 450 0

322 1,2368.5 28.8

46 4851 43

32 41

-3 061 63 b

0.1 0.10.1 ..

11 1612 8

76.5 101.656.6 54.453.1 63.0

6.1 ..

-10.2 -22.5

.. ..

.. ..

131 b

124 b

38 b

134 b

.. 66.9

.. 64.4

.. ..

.. 0.7

47 4722.4 22.1 b

.. 4.3

0.14 0.13

.. ..

.. ..

.. ..

11.6 ..2.2 5.01.9 5.00.1 ..

1.0 0.8



Key IndicatorsLDCs












school (%)

LDC country tableMALAWIMalawi

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Malawi

0

50

100

150

200

250

2004200019951990

LDCs

Malawi

MalawiSurface area = 118 thousand sq. km

11.5 12.9 751.82.6 2.2 2.315 17 28

1.7 2.1 284150 160 378570 650 1,4271.6 2.6 6.1

-1.1 0.4 3.7

40 40 52117 110 9825 .. 38

.. 75 ..

.. 54 ..142 123 101136 126 89

.. 41.7 a

54.0 65.3 a

.. 4.9 b

29 588 29

81 9811 13

241 17581 80

.. 1,80055 61

.. 14.1257 413

41 6736 46

3 2553 38

6.2 9.5 11.5 12.9 4.3 2.0 2.31,238 1,881 1,744 2,072 2.5 3.7 3.4

43.7 45.0 39.5 34.7 2.0 8.6 0.522.5 28.9 17.9 19.4 2.9 2.0 3.813.7 19.5 12.9 12.5 3.6 0.5 1.733.7 26.1 42.5 45.9 3.3 1.6 3.269.9 71.5 81.6 94.9 2.2 6.5 4.119.3 15.1 14.6 16.7 6.3 -4.4 8.524.7 23.0 13.6 14.5 -2.8 -8.4 2.524.8 23.8 25.6 26.8 2.5 4.0 2.738.8 33.4 35.3 53.0 -0.3 -1.1 6.1

.. 13.6 2.2 -7.4 .. .. ..

















ReceivedPaid



LDC country table MALAWI

0

500

1000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Malawi

LDCs

per 1,000 people

United kingdomUnited StatesNorway

n/an/a

a. Data are for 1998. b. Data are for 1997. c. Data are for 2005.

29.6 15.4 c

30.5 15.5 c

59.5 118.4 c

100 119100 149

379 460 c

532 1,035 c

-192 -323

-73 -201-4.2 -10.4

247 165 c

2,705 3,41863 60

155.2 179.613.3 7.6

26 160 0

446 47626.1 25.6

97 12059 57

7 27

-50 -20280 279 c

0.0 0.13.9 3.7

1 11 1

.. ..

.. ..

.. ..0.9 ..

.. ..

38 ..38 ..

96 c

70 c

35 c

118 c

.. ..

.. ..

7.2 .... ..

43 4737.9 36.2 c

.. 11.2

0.07 0.06

.. ..

.. ..

.. ..

18.5 ..1.0 1.61.3 3.7

.. ..

0.4 2.0


Measuring progress in least developed countries

Key IndicatorsLDCs












school (%)

LDC country tableMALDIVES

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Maldives

0

50

100

150

200

250

2004200019951990

LDCs

Maldives

0.3 0.3 751.82.7 2.5 2.328 30 28

0.6 0.8 2842,010 2,390 378

.. .. 1,4274.4 -3.6 6.11.6 -5.9 3.7

65 67 5245 35 9830 .. 38

.. 96 ..

.. 96 ..127 105 101128 102 89

Maldives

.. ..

.. ..

.. ..

.. 100

.. 73

.. 10231 36

111 4696 97

.. 11090 70

.. ..148 49

99 84.. 58

29 45198 87

0.2 0.2 0.3 0.3 3.1 3.0 2.542 215 624 817 .. 8.7 5.4

.. .. .. .. 6.7 1.8 6.9

.. .. .. .. 9.9 9.6 8.8

.. .. .. .. 9.6 4.9 6.5

.. .. .. .. .. 8.9 6.4

.. .. 32.9 31.7 .. 6.9 -5.1

.. .. 22.9 23.5 .. 14.1 8.5

.. .. 26.3 34.0 .. 9.2 14.918.2 24.5 89.5 89.3 .. 8.6 9.057.9 64.0 71.6 78.4 .. 9.4 9.5

.. .. 35.1 32.8 .. .. ..

MaldivesSurface area = 1.0 thousand sq. km.

draft2-un-atlas.indd 2 08/23/2006 2:15:39 PM








Ranked as a major constraint to business(US$ millions) (% of managers surveyed who agreed)Total debt outstanding and disbursed Cost of fi nancingTotal debt service Electricity








ReceivedPaid



LDC country table MALDIVES

0

250

500

750

1,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Maldives

LDCs

per 1,000 people

-1.2 3.3 a

1.5 6.0 a

11.8 12.8 a

.. ..

.. ..

109 160 a

389 743 a

6 -37

-51 -134-8.2 -16.7

123 186 a

206 34520 32

33.0 43.14.2 4.6

13 150 0

19 283.2 3.7

8 52 22 1

0 03 3 a

0.0 0.0.. ..

2 346 61

Japan Denmark Australia

32.2 40.013.8 18.025.5 33.2

.. ..

-5.0 -5.1

.. ..

.. ..

31 a

25 a

12 a

..

.. ..

.. ..

.. ..

.. ..

33 473.3 3.3 a

.. ..

1.7 3.4

.. ..

.. ..

.. ..

.. ..34.5 112.120.7 59.2

.. ..

.. 1.1




Key IndicatorsLDCs












school (%)

LDC country tableMALI

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Mali

0

50

100

150

200

250

2004200019951990

LDCs

Mali

11.6 13.5 751.82.9 3.0 2.330 34 28

2.6 5.1 284220 380 378770 1,000 1,4273.2 5.4 6.10.3 2.3 3.7

48 48 52124 121 98

33 .. 38.. 27 .... 12 ..

60 71 10145 56 89

72.3 .... 63.8 a

4.6 ..

10 447 22

59 7436 ..

250 21943 75

.. 1,20032 41

.. 1.7304 281

34 4836 45

1 3654 43

7.0 8.9 11.6 13.5 2.4 2.7 3.01,787 2,421 2,422 5,098 0.8 4.1 5.8

48.3 45.5 41.6 36.0 3.3 2.6 4.313.2 15.9 20.6 24.2 4.3 6.4 5.2

6.5 8.5 3.8 3.3 6.8 -1.4 6.038.5 38.6 37.9 39.8 1.9 3.0 6.487.4 79.8 79.4 79.1 0.6 3.2 1.811.6 13.8 8.6 10.4 7.9 3.2 22.015.5 23.0 24.6 23.8 3.6 0.4 6.314.7 17.1 26.8 25.7 4.8 9.9 6.729.1 33.7 39.4 39.1 6.6 3.5 4.4

1.9 15.1 16.0 11.1 .. .. 7.7

Mali

MaliSurface area =1,240 thousand sq. km.

















ReceivedPaid



LDC country table MALI

0

500

1000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Mali

LDCs

per 1,000 people

-0.7 6.4 b

5.6 -1.1 b

712.0 527.5 b

100 204100 161

551 1,150 b

806 1,500 b

-283 -318

-255 -271-10.5 -6.2

381 855 b

2,980 3,31694 103

123.0 67.912.8 5.8

82 1800 1

360 56715.0 12.1

98 8243 6456 46

-284 -13448 46 b

0.4 0.58.4 11.3

73 15426 58

.. ..

.. ..

.. ..2.4 1.9

.. ..

.. ..

.. ..

146 b

143 b

42 b

44 b

.. 57.3

.. 56.3

.. ..

.. ..

28 2810.7 10.3 b

.. 3.7

0.05 0.04

.. ..

.. ..

.. ..

12.1 ..1.1 3.21.3 3.8

.. ..

10.3 ..


France Netherlands United States



Key IndicatorsLDCs












school (%)

LDC country tableMAURITANIA

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Mauritania

0

50

100

150

200

250

2004200019951990

LDCs

Mauritania

Mauritania

2.6 3.1 751.82.9 2.9 2.358 64 28

1.2 1.7 284460 560 378

1,760 2,150 1,4276.7 5.4 6.13.6 2.3 3.7

52 53 5279 78 9832 .. 38

.. 60 ..

.. 43 ..89 95 10184 93 89

49.4 25.9.. 46.3.. 6.2

29 4313 20

67 9637 ..

133 12538 64

.. 1,00040 57

.. 0.7238 287

41 5628 42

3 135117 60

1.6 2.0 2.6 3.1 2.3 2.6 3.0709 1,020 1,081 1,888 1.8 4.6 5.0

30.4 29.6 19.3 16.9 1.7 4.4 0.626.0 28.8 37.8 31.8 4.9 3.5 5.0

.. 10.3 15.8 9.9 -2.1 -1.9 -3.243.6 41.6 42.9 51.3 0.4 5.5 6.558.2 69.2 82.7 .. 1.4 4.6 ..45.3 25.9 12.8 .. -3.8 -2.4 ..26.3 20.0 16.7 .. 6.9 8.5 ..36.8 45.6 35.2 .. 2.1 -1.5 ..66.7 60.7 47.5 .. 0.2 -0.5 ..

3.9 17.6 14.3 .. -13.4 .. ..

MauritaniaSurface area = 1,026 thousand sq. km

















ReceivedPaid



LDC country table MAURITANIA

0

250

500

750

1,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Mauritania

LDCs

per 1,000 people

3.3 12.1 a

2.7 17.1 a

238.9 265.6 a

100 88100 129

358 410 a

312 740 a

-79 ..

77 ..6.8 ..

283 420

2,378 2,29783 57

220.0 149.727.7 ..

40 3000 0

212 18019.3 11.1

23 295 128 11

10 3063 66 a

29.8 31.10.4 0.5

2 210 ..

France Spain Germany

.. ..

.. ..

.. ..1.6 1.2

.. ..

.. ..

.. ..

127 a

146 a

82 a

49 a

.. ..

.. ..

99.3 .... ..

39 390.3 0.3 a

.. 1.7

1.2 1.1

.. ..

.. ..

.. ..

11.3 ..9.5 14.11.9 4.7

.. ..

.. ..




Key IndicatorsLDCs












school (%)

LDC country tableMOZAMBIQUE

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Mozambique

0

50

100

150

200

250

2004200019951990

LDCs

Mozambique

MozambiqueSurface area = 802 thousand sq. km

17.9 19.8 751.82.2 1.9 2.332 38 28

3.8 6.1 284210 310 378820 1,270 1,4271.9 7.7 6.1

-0.2 5.7 3.7

43 42 52122 104 98

26 24 38.. .. .... .. ..

84 104 10164 86 89

.. 37.8 a

.. 69.4 a

.. 6.5 a

27 297 11

72 8211 ..

235 15259 77

.. 1,000

.. 48

.. 16.1167 460

.. 42

.. 27

4 2775 63

12.0 13.4 17.9 19.8 1.1 2.9 2.03,526 2,463 3,778 6,630 -0.1 6.4 8.6

37.1 37.1 26.1 23.2 6.6 4.8 9.034.4 18.4 26.6 30.0 -4.5 12.8 10.3

.. 10.2 13.3 14.2 .. 18.5 14.528.5 44.5 47.3 46.8 6.7 4.8 7.396.7 92.3 78.3 77.3 -0.3 3.4 6.912.2 13.5 10.1 10.8 -1.1 3.1 9.3

7.6 22.1 33.5 22.2 -2.9 15.5 4.610.9 8.2 19.7 30.6 -6.8 11.0 20.027.4 36.1 41.6 41.0 -3.8 6.3 10.1-6.9 2.1 5.5 5.2 .. .. 15.9

Mozambique

















ReceivedPaid



LDC country table MOZAMBIQUE

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Mozambique

LDCs

per 1,000 people

12.7 12.710.3 6.3 b

15,447.1 23,061.0 b

100 254100 121

364 1,790 b

1,158 2,420 b

-802 -622

-764 -607-20.2 -10.3

742 1,103 b

7,000 4,65196 83

185.3 78.712.5 4.5

139 2450 0

877 1,22824.7 22.0

116 11046 6847 67

75 -20367 406 b

0.0 0.10.2 0.6

37 58156 21

United States Sweden Denmark

.. ..

.. ..

.. ..1.4 1.2

.. ..

20 3235 32

110 b

139 b

153 b

42 b

.. 83.8

.. 64.0

.. ..

.. ..

61 6224.9 24.6 b

.. 8.4

0.07 0.08

2.2 2.5

401 430.. ..

18.7 ..3.3 5.81.1 7.1

.. ..

9.2 9.4




Key IndicatorsLDCs












school (%)

LDC country tableMYANMAR

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Myanmar

0

50

100

150

200

250

2004200019951990

LDCs

Myanmar

Myanmar

47.7 50.5 751.81.3 1.0 2.328 31 28

.. .. 284

.. .. 378

.. .. 1,4279.8 5.0 6.18.5 3.9 3.7

59 61 5278 76 9835 32 38

.. 94 ..

.. 86 ..90 99 10189 101 89

MyanmarSurface area = 677 thousand sq. km

.. ..

.. ..

.. ..

.. 7822 40

96 10136 ..

130 10690 78

.. 360

.. 57

.. 1.3171 171

48 8021 73

2 104 2

33.7 40.8 47.7 50.5 1.9 1.6 1.1.. .. .. .. 0.6 6.9 9.2

46.5 57.3 57.2 .. 0.5 5.7 ..12.7 10.5 9.7 .. 0.5 10.5 ..

9.5 7.8 7.2 .. -0.2 7.9 ..40.8 32.2 33.1 .. 0.8 7.2 ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..21.5 13.4 12.4 .. -4.1 15.3 ..

9.1 2.6 0.4 .. 1.9 10.0 ..12.9 4.8 1.1 .. -6.8 5.8 ..17.3 11.5 12.3 .. -4.5 17.3 ..

















ReceivedPaid



LDC country table MYANMAR

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Myanmar

LDCs

per 1,000 people

-0.1 4.56.1 17.6 a

.. ..

100 178100 105

1,646 2,835 a

2,401 2,285 a

-354 723

-212 112.. ..

286 889 a

5,928 7,23987 125

.. ..3.9 3.8

258 2140 0

107 121.. ..

52 271 122 10

60 70115 117 a

137.1 161.0.. ..

104 11714 25

Japan United Kingdom Australia

5.3 5.03.0 2.0

.. ..2.3 1.3

.. ..

30 ..30 ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

16 1752.5 49.0 a

.. 0.3

0.19 0.16

.. ..

265 276.. ..

78.0 ..2.1 6.50.1 1.3

.. ..

.. ..




Key IndicatorsLDCs












school (%)

LDC country tableNEPAL

0

20

40

60

80

100

120

2005200420032002200120001999

LDCsNepal

0

50

100

150

200

250

2004200019951990

LDCs

Nepal

Nepal

NepalSurface area = 147 thousand sq. km.

24.4 27.1 751.82.3 2.0 2.314 16 28

5.4 7.3 284220 270 378

1,330 1,530 1,4276.1 2.3 6.13.7 0.3 3.7

61 62 5269 59 9848 .. 38

.. 63 ..

.. 35 ..130 118 101103 108 89

.. 24.1

.. 30.9

.. 6.0

51 7534 46

59 9012 17

145 7657 73

.. 7407 15

.. 0.5243 184

69 8412 27

3 2222 16

15.2 19.1 24.4 27.1 2.3 2.5 2.11,946 3,628 5,489 7,346 4.6 4.9 2.6

61.8 51.6 40.8 40.2 4.0 2.4 3.211.9 16.2 22.1 21.4 8.8 7.2 1.14.3 6.1 9.4 8.0 9.3 8.9 -0.6

26.3 32.1 37.0 38.4 3.9 6.2 2.382.2 84.3 75.9 76.0 .. .. ..

6.7 8.7 8.9 11.5 .. .. ..18.3 18.1 24.3 25.7 .. .. ..11.5 10.5 23.3 16.1 .. .. ..18.7 21.7 32.4 29.3 .. .. ..13.6 10.1 30.1 31.3 .. .. ..

















ReceivedPaid



LDC country table NEPAL

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Nepal

LDCs

per 1,000 people

2.5 2.84.6 4.6 a

69.1 72.2 a

100 94100 119

804 830 a

1,573 1,860 a

-508 -961

-131 197-2.4 2.9

987 1,565 a

2,846 3,354102 114

51.9 49.97.0 5.5

0 00 0

390 4277.1 6.4

23 66100 56

22 53

-99 -100718 819 a

0.2 1.2129.2 124.9

111 82317 64

United Kingdom Japan Germany

12.1 15.28.7 10.3

.. ..1.0 1.7

.. ..

.. ..

.. ..

55 a

30 a

21 a

2 a

54.1 ..41.7 ..

14.4 8.6.. 1.7

29 3027.3 25.4 a

.. 8.9

0.14 0.15

4.0 4.0

334 336.. ..

30.8 53.92.9 4.42.0 6.6

.. 0.7

0.0 0.1




Key IndicatorsLDCs












school (%)

LDC country tableNIGER

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Niger

050

100150200250300350

2004200019951990

LDCs

Niger

Niger

11.8 14.0 751.83.4 3.3 2.321 23 28

1.9 3.3 284160 240 378700 800 1,427-1.4 4.5 6.1-4.7 1.1 3.7

44 45 52159 152 98

40 .. 38.. 43 .... 15 ..

36 52 10125 37 89

41.7 60.6 a

63.0 .... 2.6 a

15 256 8

57 719 ..

320 25925 74

.. 1,60015 16

.. 1.1131 157

40 467 12

1 1347 40

6.2 8.5 11.8 14.0 3.1 3.3 3.42,509 2,481 1,798 3,405 -0.1 2.4 3.7

43.1 35.3 37.8 39.9 1.7 3.0 6.422.9 16.2 17.8 16.8 -1.7 2.0 3.1

3.7 6.6 6.8 6.6 -2.7 2.6 3.934.0 48.6 44.4 43.4 -0.7 1.9 4.375.1 83.8 83.4 79.2 -0.6 1.5 ..10.4 15.0 13.0 11.5 4.4 0.8 ..28.1 8.1 11.4 18.5 -7.1 4.0 ..24.6 15.0 17.8 15.0 -2.9 3.1 ..38.1 22.0 25.7 24.2 -6.3 -2.1 ..17.1 -2.1 2.8 10.3 -1.6 12.3 ..

NigerSurface area =1,267 thousand sq. km.

















ReceivedPaid



LDC country table NIGER

0

250

500

750

1,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Niger

LDCs

per 1,000 people

2.9 7.8 b

4.5 6.6 b

712.0 527.5 b

100 131100 134

283 410 b

395 920 b

-135 -266

-104 -219-5.8 -8.0

80 250 b

1,673 1,95026 51

93.0 63.97.7 7.5

8 01 0

211 53611.8 17.6

41 1965 19

12 17

-6 -10120 124 b

0.5 0.70.1 0.3

14 2612 9

France United States Germany

.. ..

.. ..

.. ..1.4 0.9

.. ..

.. ..

.. ..

150 b

142 b

35 b

49 b

.. ..

.. ..

.. ..

.. ..

30 301.0 1.0 b

.. 7.7

0.10 0.10

.. ..

.. ..

.. ..

7.9 ..0.4 0.70.3 1.8

.. ..

3.0 3.2




Key IndicatorsLDCs












school (%)

LDC country tableRWANDA

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Rwanda

0

50

100

150

200

250

2004200019951990

LDCs

Rwanda

Rwanda

RwandaSurface area = 26 thousand sq. km.

8.0 9.0 751.86.8 1.7 2.314 22 28

2.0 2.1 284250 230 378

1,030 1,320 1,4276.0 5.0 6.1

-1.0 3.2 3.7

41 44 52118 118 9824 .. 38

.. 71 ..

.. 60 ..104 118 101100 120 89

.. 51.751.2 60.3 a

.. ..

45 378 14

96 10015 ..

173 20383 84

.. 1,40026 31

.. 3.1135 371

58 7337 41

1 1841 53

5.2 7.1 8.0 9.0 3.1 1.2 2.41,163 2,584 1,811 2,131 2.2 -0.3 4.9

45.8 32.5 41.4 42.2 0.5 2.6 4.121.5 24.6 20.5 20.2 2.5 -3.7 5.115.3 18.3 11.3 9.5 2.6 -6.0 5.832.6 42.8 38.1 37.7 3.6 -1.2 5.883.3 83.7 88.2 88.0 1.2 1.2 3.712.5 10.1 10.5 13.3 5.2 -1.7 10.216.1 14.6 17.5 21.0 4.3 1.4 1.914.4 5.6 8.3 9.6 3.4 -3.8 10.926.4 14.1 24.6 31.9 2.6 5.0 3.613.3 11.3 12.4 14.7 .. .. ..

















ReceivedPaid



LDC country table RWANDA

0

250

500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Rwanda

LDCs

per 1,000 people

4.3 9.1 b

3.3 7.0 b

389.7 555.9 b

100 187100 135

52 120 b

211 410 b

-296 -293

-94 -6-5.2 -0.3

191 406 b

1,273 1,65635 24

70.3 90.224.1 11.2

8 80 0

322 46817.9 26.0

53 5823 5020 26

1,977 4589 121 b

119.1 63.828.4 50.2

7 1028 31

United Kingdom United States Netherlands

.. ..

.. ..

.. ..3.7 2.1

.. ..

.. ..

.. ..

139 b

58 b

21 b

371 b

.. ..

.. ..

.. ..

.. ..

68 7813.9 19.5 b

.. 6.2

0.07 0.07

.. ..

.. ..

.. ..

8.3 .... ..

0.6 4.3.. ..

0.6 25.4




Key IndicatorsLDCs












school (%)

LDC country tableSAMOA

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Samoa

0

50

100

150

200

250

2004200019951990

LDCs

Samoa

Samoa

SamoaSurface area = 2.8 thousand sq. km.

0.2 0.2 751.81.0 0.7 2.322 22 28

0.2 0.4 2841,350 2,090 3784,860 6,480 1,427

7.0 5.5 6.15.9 4.8 3.7

69 70 5228 25 98

2 .. 38.. .. .... .. ..

99 100 10199 100 89

.. ..

.. ..

.. ..

.. 9633 80

118 105.. ..

50 3089 25

.. 13076 100

.. ..52 28

91 8898 100

25 130296 167

0.2 0.2 0.2 0.2 0.4 1.0 0.8155 112 231 399 1.0 2.7 4.1

.. .. 16.8 .. .. -0.4 ..

.. .. 26.0 .. .. 0.5 ..

.. .. 14.8 .. .. -1.9 ..

.. .. 57.3 .. .. 10.6 ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. 33.9 .. .. 10.7 ..

.. .. 57.4 .. .. 4.3 ..

.. .. .. .. .. .. ..

















ReceivedPaid



LDC country table SAMOA

0

50

100

150

200

250

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Samoa

LDCs

per 1,000 people

1.0 1.8 a

2.5 3.3 a

3.3 2.7 a

100 75100 160

14 12 a

106 195 a

-61 ..

-19 ..-8.2 ..

64 92 a

197 5629 21

85.5 157.45.1 ..

-2 10 0

27 3111.9 8.6

7 134 65 5

-14 -148 9 a

0.0 .... ..

45 453 11

Australia New Zealand Japan

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

39 a

71 a

68 a

147 a

.. ..

.. ..

.. ..

.. ..

46 4660.4 60.4 a

.. ..

0.78 0.79

.. ..

.. ..

.. ..

42.0 ..5.6 6.65.6 32.7

.. ..

0.5 0.1




Key IndicatorsLDCs












school (%)

LDC country tableSÃO TOMÉ AND PRINCIPE

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

São Tomé and Principe

0

50

100

150

200

250

2004200019951990

LDCs



São Tomé and PrincipeSurface area = 1.0 thousand sq. km.

0.1 0.2 751.82.0 2.3 2.338 38 28

0.0 0.1 284300 390 378

.. .. 1,4273.0 3.0 6.10.9 0.7 3.7

63 63 5275 75 9813 .. 38

.. .. ..

.. .. ..130 134 101124 132 89

.. ..

.. ..

.. ..

.. 75

.. 40

.. 99

.. ..

118 11871 91

.. ..

.. 76

.. ..135 107

.. 79

.. 24

19 79468 218

0.1 0.1 0.1 0.2 2.1 1.8 2.347 58 46 57 .. 1.8 3.8

27.6 27.6 20.0 21.8 .. 3.6 3.017.9 17.9 17.3 18.6 .. 1.5 4.3

.. 4.9 4.5 3.5 .. 1.4 2.954.5 54.5 62.6 59.6 .. 0.8 4.677.1 114.8 53.2 100.3 .. -6.5 ..34.5 27.6 50.9 26.0 .. 7.6 ..16.8 15.6 43.6 44.1 .. 0.7 ..22.4 14.5 33.5 47.6 .. 3.3 ..50.8 72.5 81.2 118.0 .. -1.8 ..-5.5 -30.7 0.9 -23.4 .. .. ..

















ReceivedPaid



LDC country table SÃO TOMÉ AND PRINCIPE

0

50

100

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

50

100

150

20042003200220012000


LDCs

per 1,000 people

.. ..7.4 -1.9 a

7,978.2 10,212.3 a

100 315100 159

3 5 a

30 49 a

-20 -23

-19 -23-41.3 -42.5

12 27 a

322 3624 10

694.9 633.925.7 25.6

4 540 0

35 3382.6 61.8

11 134 51 1

-5 -27 7 a

0.0 0.0.. ..

0 11 1

Portugal France Japan

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

123 a

91 a

192 a

51 a

.. ..

.. ..

.. ..

.. ..

54 5828.1 28.1 a

.. ..

0.63 0.63

.. ..

.. ..

.. ..

68.1 .... ..

46.5 130.7.. ..

.. ..




Key IndicatorsLDCs












school (%)

LDC country tableSENEGAL

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Senegal

0

50

100

150

200

250

2004200019951990

LDCs

Senegal

Senegal

SenegalSurface area = 197 thousand sq. km.

10.3 11.7 751.82.5 2.4 2.347 51 28

4.7 8.2 284450 710 378

1,410 1,770 1,4273.0 6.2 6.10.5 3.7 3.7

55 56 5280 78 9823 .. 38

.. 51 ..

.. 29 ..69 78 10160 74 89

45.4 22.3 a

33.4 .... 6.4 a

42 4515 19

69 9026 ..

148 13751 57

.. 69047 58

.. 0.9203 245

66 7235 52

6 72103 92

6.0 8.0 10.3 11.7 2.9 2.6 2.42,987 5,699 4,385 8,318 3.1 3.2 4.9

18.9 19.9 19.4 17.7 2.8 2.9 1.815.4 18.7 20.6 19.7 4.3 4.1 6.810.6 13.1 13.0 11.5 4.6 3.1 5.965.8 61.4 60.1 63.3 2.8 3.0 5.184.7 76.4 75.1 76.4 2.1 1.4 3.820.3 14.7 14.0 13.4 3.3 2.1 7.511.7 13.8 20.9 23.4 5.2 7.9 9.026.9 25.4 29.9 27.8 3.7 6.3 3.443.6 30.3 39.8 41.3 1.8 3.5 5.9-7.4 6.0 14.6 16.7 8.8 24.0 7.1

















ReceivedPaid



LDC country table SENEGAL

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Senegal

LDCs

per 1,000 people

0.7 1.7 b

3.3 2.5 b

710.1 527.5 b

100 166100 173

920 1,600 b

1,519 3,330 b

-435 -831

-332 -437-7.6 -6.8

384 1,191 b

3,607 3,938224 335

82.3 51.614.4 10.3

63 70-2 4

423 1,0529.9 14.1

147 51048 5023 50

-100 -100297 326 b

11.1 8.320.8 20.8

233 51155 57

19.7 ..17.3 ..13.7 ..

1.4 1.4

-0.9 ..

50 035 35

132 b

125 b

57 b

114 b

.. 65.3

.. 55.4

.. ..

.. ..

42 4246.2 45.0 b

.. 11.6

0.37 0.38

5.1 5.2

284 287.. ..

29.3 29.315.5 21.3

3.9 42.3.. ..

7.6 6.5

France Japan United States




Key IndicatorsLDCs












school (%)

LDC country tableSIERRA LEONE

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Sierra Leone

0

50

100

150

200

250

300

2004200019951990

LDCs

Sierra Leone

Sierra Leone

Sierra LeoneSurface area = 72 thousand sq. km.

4.5 5.5 751.83.0 3.5 2.337 40 28

0.6 1.2 284140 220 378450 780 1,4273.8 7.5 6.10.7 3.8 3.7

40 41 52167 165 98

27 .. 38.. 47 .... 24 ..

93 169 10165 122 89

57.0 ..82.8 70.2

1.1 ..

.. ..18 14

67 7421 ..

302 283.. 64

.. 2,000

.. 42

.. 1.6224 443

.. 57

.. 39

3 2715 67

3.2 4.1 4.5 5.5 2.3 1.0 4.11,101 650 634 1,193 0.5 -5.1 13.7

33.0 46.9 58.4 46.1 3.1 -11.3 ..21.9 19.2 28.4 24.4 1.7 -4.1 ..

5.3 4.6 3.5 3.7 .. 5.0 ..45.0 33.9 13.3 29.5 -0.9 -2.6 ..90.7 83.5 100.1 90.4 -2.7 -8.3 ..

8.4 7.8 13.2 12.9 -4.7 10.4 ..16.2 10.0 8.0 15.0 -1.1 -5.6 ..22.9 22.4 18.1 24.0 -1.6 -11.2 ..38.2 23.8 39.4 42.7 -5.1 -0.2 ..

0.5 2.6 -7.9 6.9 .. 27.1 ..

















ReceivedPaid



LDC country table SIERRA LEONE

0

250

500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

SierraLeone

LDCs

per 1,000 people

-0.8 12.1 a

6.1 13.1 a

2,099.0 2,950.0 a

.. ..

.. ..

13 150 a

149 350 a

-195 -126

-112 -74-17.7 -6.9

49 171 a

1,228 1,72347 27

193.8 160.867.1 10.9

39 260 0

182 36029.7 34.6

68 618 302 25

-110 43847 119 a

402.8 41.86.5 65.4

7 25.. 2

12.5 ..6.8 ..

.. ..4.1 1.6

.. ..

.. ..

.. ..

136 a

64 a

26 a

58 a

.. ..

.. ..

.. ..

.. ..

38 4039.8 38.5 a

.. 2.1

0.13 0.12

.. ..

.. ..

.. ..

7.9 8.0.. ..

1.1 1.9.. ..

.. 31.1

United Kingdom United States Italy




Key IndicatorsLDCs












school (%)

LDC country tableSOLOMON ISLANDS

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Solomon Islands

0

50

100

150

200

250

2004200019951990

LDCs

Solomon Islands

Solomon Islands

Solomon IslandsSurface area= 29 thousand sq. km.

0.4 0.5 751.82.8 2.5 2.316 17 28

0.3 0.3 284680 590 378

1,860 1,880 1,427-14.3 4.4 6.1-16.6 1.8 3.7

62 63 5236 34 9821 .. 38

.. .. ..

.. .. ..89 121 10182 117 89

.. ..

.. ..

.. ..

72 ..15 30

83 9131 ..

63 5670 72

.. 13085 ..

.. ..134 59

.. 70

.. 31

15 17144 262

0.2 0.3 0.4 0.5 3.3 2.8 2.6116 211 299 286 6.6 2.4 1.3

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..70.2 69.5 .. .. 2.2 .. ..23.1 27.5 .. .. 5.4 .. ..36.4 29.0 21.7 35.3 2.2 .. ..70.3 46.8 39.6 41.9 8.8 .. ..

100.0 72.8 59.0 44.1 2.7 .. ..16.8 19.2 .. .. .. .. ..

















ReceivedPaid



LDC country table SOLOMON ISLANDS

0

50

100

150

200

250

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

SolomonIslands

LDCs

per 1,000 people

7.1 7.110.7 6.6 a

5.1 7.5 a

.. ..

.. ..

69 113 a

92 130 a

23 ..

21 ..6.5 ..

32 95 a

155 1769 17

51.9 68.24.8 ..

1 -50 0

68 12222.9 47.1

13 1025 122 3

0 04 3 a

0.0 0.10.2 ..

2 26 6

.. ..

.. ..

.. ..

.. ..

.. ..

40 4030 30

53 a

32 a

35 a

86 a

.. ..

.. ..

.. ..

.. ..

4 484.7 77.6 a

.. 0.3

0.39 0.39

.. ..

.. ..

.. ..

2.5 ..38.2 42.9

4.8 6.4.. ..

.. ..





Key IndicatorsLDCs












school (%)

LDC country tableSOMALIA

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

no data availablefor Somalia

0

50

100

150

200

250

2004200019951990

LDCs

Somalia

Somalia

SomaliaSurface area = 638 thousand sq. km.

7.0 8.2 751.82.9 3.3 2.333 36 28

.. .. 284

.. .. 378

.. .. 1,427

.. .. 6.1

.. .. 3.7

45 47 52133 133 98

26 .. 38.. .. .... .. .... .. 101.. .. 89

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..22 ..

225 22530 40

.. 1,100

.. 25

.. 0.9341 411

.. 29

.. 25

2 8874 24

6.5 6.7 7.0 8.2 0.3 0.5 3.2604 917 .. .. 2.1 .. ..

68.4 65.5 .. .. 3.3 .. ..8.0 .. .. .. 1.0 .. ..4.7 4.6 .. .. -1.7 .. ..

23.6 .. .. .. 0.9 .. ..97.3 .. .. .. 0.8 .. ..15.6 .. .. .. 7.0 .. ..42.4 15.5 .. .. -2.6 .. ..33.2 9.8 .. .. -12.2 .. ..88.5 37.7 .. .. -6.2 .. ..-5.8 17.0 .. .. .. .. ..

















ReceivedPaid



LDC country table SOMALIA

0

10

20

25

20042003200220012000

Somalia

LDCs

per 1,000 people

Somalia - No data available

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

2,561 2,8490 0

.. ..

.. ..

0 90 0

104 191.. ..

20 3410 32

6 19

-214 17022 282 a

475.7 389.30.6 0.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

70 7012.0 11.4 a

.. 0.8

0.00 ..

.. ..

.. ..

.. ..

11.8 .... 6.3

2.1 25.1.. ..

.. ..


Norway United States Netherlands



Key IndicatorsLDCs












school (%)

LDC country tableSUDAN

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Sudan

0

50

100

150

200

250

2004200019951990

LDCs

Sudan

Sudan

SudanSurface area = 2,506 thousand sq.

32.9 36.2 751.82.1 2.0 2.336 41 28

10.3 23.3 284310 640 378

1,460 2,000 1,4276.5 8.0 6.14.3 5.9 3.7

56 57 5265 63 9841 .. 38

.. 71 ..

.. 52 ..55 64 10147 56 89

.. ..

.. ..

.. ..

41 4921 33

78 8822 19

120 9157 59

.. 59069 87

.. 1.6182 220

64 6933 34

2 5832 25

20.0 26.1 32.9 36.2 2.7 2.3 1.97,617 13,167 12,366 27,699 2.3 5.4 6.1

32.9 32.8 41.8 33.7 1.8 9.2 ..14.1 16.3 21.3 29.7 1.6 5.8 ..

7.5 8.8 8.1 6.6 4.8 4.4 ..53.0 50.9 36.9 36.6 4.5 2.7 ..81.9 77.8 76.5 64.5 2.3 4.9 ..16.0 12.8 7.6 17.3 -0.5 0.2 ..14.7 15.1 18.3 22.4 -1.8 11.3 19.510.6 5.5 15.3 20.7 -6.3 14.2 9.123.1 11.1 17.7 24.8 -7.2 8.8 4.4

7.0 12.2 8.4 22.0 .. .. 71.9

















ReceivedPaid



LDC country table SUDAN

0

2,500

5,000

7,500

10,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Sudan

LDCs

per 1,000 people

5.7 8.510.7 12.1 a

257.1 243.6 a

.. ..

.. ..

1,807 5,150 a

1,553 6,100 a

-180 -2,852 a

-518 -2,768 a

-4.2 -10.0 a

247 2,450 a

16,394 19,332239 312

132.6 89.59.7 6.0

392 1,5110 0

225 8822.2 4.4

5 3786 117

14 57

-207 -519854 639 a

494.4 730.7414.9 141.6

641 1,0164 2

8.0 ..6.4 ..7.6 ..2.6 2.2

-0.4 ..

.. ..

.. ..

151 a

68 a

38 a

..

.. ..

.. ..

.. ..

.. ..

56 5729.7 28.4 a

.. 5.2

0.22 0.26

4.1 3.7

419 477.. ..

36.3 ..3.0 17.10.9 32.10.5 0.3

3.8 0.0


United States United Kingdom Norway



Key IndicatorsLDCs












school (%)

LDC country tableTANZANIA

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Tanzania

0

50

100

150

200

250

2004200019951990

LDCs

Tanzania

Tanzania

TanzaniaSurface area = 945 thousand sq. km.

34.8 38.3 751.82.1 1.8 2.332 38 28

8.9 12.7 284260 340 378520 730 1,4275.1 7.0 6.12.9 5.0 3.7

47 46 5288 78 9829 .. 38

.. 78 ..

.. 62 ..66 108 10166 104 89

48.5 57.838.6 35.7

.. 7.3

46 545 ..

97 ..29 ..

161 12680 94

.. 1,50044 46

.. 6.5179 347

38 7347 46

3 3245 46

18.9 26.2 34.8 38.3 3.3 2.8 2.0.. 4,259 9,079 12,111 .. 2.9 6.9

.. 46.0 45.0 44.5 .. 3.2 5.1

.. 17.7 15.7 17.8 .. 3.1 9.7

.. 9.3 7.5 7.5 .. 2.7 8.0

.. 36.4 39.2 37.6 .. 2.7 6.0

.. 80.9 82.2 76.8 .. 2.2 1.7

.. 17.8 8.5 13.6 .. 3.4 19.1

.. 26.1 17.6 18.9 .. -1.6 9.4

.. 12.6 14.4 17.1 .. 7.1 2.5

.. 37.5 22.7 26.3 .. 0.3 5.2

.. 7.7 7.5 9.3 .. .. 91.9

















ReceivedPaid



LDC country table TANZANIA

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Tanzania

LDCs

per 1,000 people

5.9 8.6 a

7.5 3.7 a

800.4 1,128.9 a

100 202100 164

663 1,481 a

1,524 2,659 a

-759 -1,017

-499 -437-5.5 -3.9

974 2,049 a

6,931 7,799171 119

76.3 69.012.8 5.3

463 2490 0

1,022 1,74611.4 15.5

153 21616 12097 118

-206 -345893 792 a

0.3 0.7680.9 602.1

8 1120 33

.. ..

.. ..

.. ..1.3 2.9

.. ..

30 3030 30

140 a

113 a

35 a

61 a

.. 73.4

.. 58.9

2.6 5.9.. 0.6

54 5442.2 39.9 a

.. 29.8

0.08 0.10

1.3 1.3

387 4652.7 2.7

4.2 8.62.9 7.41.2 8.9

.. ..

1.2 1.7


United Kingdom France Netherlands



Key IndicatorsLDCs












school (%)

LDC country tableTIMOR-LESTE

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

no data availablefor Timor-Leste

0

50

100

150

200

250

2004200019951990

LDCs

Timor-Leste

Timor-Leste

Timor-LesteSurface area = 15 thousand sq. km.

0.8 1.0 751.80.5 5.4 2.3

7 8 28

0.4 0.7 284480 750 378

.. .. 1,42713.7 1.8 6.113.1 -3.5 3.7

.. .. 5280 64 9843 46 38

.. .. ..

.. .. ..

.. .. 101

.. .. 89

.. ..

.. ..

.. ..

.. ..

.. 34

.. ..19 ..

172 80.. 55

.. 660

.. 18

.. ..556 556

.. 52

.. 33

.. ..0 165

0.6 0.7 0.8 1.0 3.0 0.5 4.4.. .. 316 349 .. .. -0.7

.. .. 25.8 31.7 .. .. 5.3

.. .. 18.5 14.9 .. .. -7.0

.. .. 2.8 3.7 .. .. 5.3

.. .. 55.8 53.7 .. .. -1.5

.. .. 65.1 61.5 .. .. -1.7

.. .. 53.8 51.3 .. .. -2.4

.. .. 41.3 32.0 .. .. -7.7

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. 85.9 6.0 .. .. ..

















ReceivedPaid



LDC country table TIMOR-LESTE

0

5

10

20042003200220012000

LDCs

per 1,000 people

data not available for Timor-LesteTimor-Leste - No data available

.. ..3.0 1.4 a

1.0 1.0 a

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

233 15372.2 31.7

82 351 27

53 26

-200 805 6 a

122.2 0.2.. 0.0

.. ..

.. ..

Australia United States Portugal

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

142 a

141 a

92 a

71 a

.. ..

.. ..

.. ..

.. ..

23 2357.4 53.7 a

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..




Key IndicatorsLDCs












school (%)

LDC country tableTOGO

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Togo

0

50

100

150

200

250

2004200019951990

LDCs

Togo

Togo

TogoSurface area = 57 thousand sq. km.

5.4 6.1 751.83.3 2.6 2.333 36 28

1.5 2.2 284270 350 378

1,410 1,550 1,427-0.8 2.8 6.1-4.0 0.2 3.7

55 55 5280 78 9825 .. 38

.. 69 ..

.. 38 ..117 110 10191 92 89

.. ..32.3 ..

.. ..

35 6620 39

59 7341 ..

152 14073 70

.. 57031 61

.. 3.2351 355

49 5137 34

3 4866 10

2.8 4.0 5.4 6.1 3.5 3.0 2.71,136 1,628 1,329 2,203 1.7 3.5 2.7

27.5 33.8 34.2 41.8 5.6 4.0 2.824.8 22.5 17.8 22.9 1.1 1.8 8.1

7.8 9.9 8.4 9.7 1.7 1.8 7.547.7 43.7 47.9 35.3 -0.3 3.9 -0.154.5 71.1 92.0 85.7 4.7 5.2 0.522.4 14.2 10.2 9.6 -1.2 0.0 1.328.4 26.6 17.8 17.6 2.7 -0.1 5.951.1 33.5 30.7 33.7 0.1 1.2 6.056.4 45.3 50.7 46.6 2.8 1.1 3.113.2 20.4 0.3 9.7 .. .. 26.9

















ReceivedPaid



LDC country table TOGO

0

500

1000

1,500

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

20042003200220012000

Togo

LDCs

per 1,000 people


1.9 6.8 a

-1.7 3.8 a

712.0 527.5 a

100 212100 182

363 755 a

562 1,050 a

-179 -266

-140 -162-10.5 -9.2

152 195 a

1,432 1,81230 21

107.8 87.96.3 2.0

42 606 3

70 615.4 3.0

29 279 100 6

128 -4176 183 a

4.0 10.812.2 11.3

34 1487 28

.. ..

.. ..

.. ..

.. 1.5

.. ..

.. ..

.. ..

149 a

148 a

53 a

212 a

.. ..

.. ..

.. ..

.. ..

67 678.9 7.1 a

.. 7.9

0.33 0.30

3.7 3.1

386 445.. ..

31.6 ..18.6 28.618.6 36.9

.. ..

0.6 0.0

France Germany Canada



Key IndicatorsLDCs












school (%)

LDC country tableTUVALU

Tuvalu

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Tuvalu

0

50

100

150

200

250

2004200019951990

LDCs

Tuvalu

Tuvalu Surface area = 26 thousand sq. km.

0.01 0.01 751.80.8 0.5 2.352 57 28

0.01 0.02 2841,170 1,890 378

.. .. 1,427-12.8 1.7 6.1-13.4 1.2 3.7

.. .. 5238 36 98

.. .. 38

.. .. ..

.. .. ..107 95 101111 102 89

.. ..

.. ..

.. ..

.. 103

.. 84

.. 10538 44

56 5195 98

.. ..

.. 100

.. ..52 28

91 9378 88

13 68541 770

0.01 0.01 0.01 0.01 1.6 0.8 0.55 10 12 22 1.2 3.5 5.2

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

.. .. .. .. .. .. ..

















ReceivedPaid



LDC country table TUVALU

Tuvalu - No data available

0

100

200

300

20042003200220012000

Tuvalu

LDCs

per 1,000 people

a. Country GNI data are based on GDP.

3.9 2.813.6 1.5

1.7 1.4

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

4 832.9 36.0

2 31 11 1

.. ..0.3 ..

.. ..

.. ..

.. ..

.. ..


.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

..

..

..

..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..

.. ..52.9 300.0

.. ..

.. ..



Key IndicatorsLDCs












school (%)

LDC country tableUGANDA

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Uganda

0

50

100

150

200

250

2004200019951990

LDCs

Uganda

Uganda

UgandaSurface area = 241 thousand sq. km.

24.3 28.8 751.83.1 3.5 2.312 12 28

6.4 7.9 284260 280 378

1,220 1,500 1,4275.6 5.6 6.12.4 1.9 3.7

45 49 5285 80 9823 .. 38

.. 77 ..

.. 58 ..131 118 101124 117 89

.. ..

.. 37.7

.. 5.9 a

.. 5711 16

82 9836 ..

160 13852 91

.. 88038 39

.. 6.7161 402

44 5643 41

2 4438 42

12.6 17.8 24.3 28.8 3.4 3.1 3.41,245 4,304 5,926 8,712 2.9 7.1 5.4

72.0 56.6 37.3 33.5 2.1 3.7 4.14.5 11.1 20.3 20.9 5.0 12.2 7.24.3 5.7 9.8 9.0 3.9 14.1 5.1

23.5 32.4 42.4 45.6 2.8 8.2 7.188.9 91.9 77.1 76.7 2.7 7.2 3.811.2 7.5 13.7 14.2 2.0 7.1 4.86.2 12.7 20.0 22.7 8.0 8.9 8.2

19.4 7.2 11.2 14.6 1.8 14.7 8.726.0 19.4 23.0 27.7 4.4 10.0 8.0-1.0 1.2 9.9 12.1 -10.1 5.5 24.9

















ReceivedPaid



LDC country table UGANDA

0

1,000

2,000

3,000

4,000

5,000


merchandise imports

US$ millions

0

5

10

20042003200220012000

Uganda

LDCs

per 1,000 people


2.8 8.2 b

3.8 8.6 b

1,512.0 1,737.2 b

100 139100 108

460 870 b

1,536 1,810 b

-745 -1,323 b

-359 -267 b

-6.1 -3.1 b

808 1,344 b

3,497 4,82274 103

59.0 70.77.8 6.9

161 2220 1

819 1,15914.2 17.3

58 208217 108

43 71

-66 -15529 518 b

32.4 32.0236.6 250.5

238 642353 368

17.8 22.910.9 11.916.2 22.8

2.3 2.5

-2.0 -3.8

30 3030 30

72 b

100 b

36 b

48 b

.. 60.3

.. 48.3

0.6 1.4.. 0.5

62 6320.6 18.4 b

.. 24.6

0.06 0.06

.. ..

.. ..

.. ..

.. 23.02.5 4.31.6 7.20.7 ..

22.5 13.1

United States United Kingdom Netherlands



Key IndicatorsLDCs












school (%)

LDC country tableVANUATU

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Vanuatu

0

50

100

150

200

250

2004200019951990

LDCs

Vanuatu

Vanuatu

VanuatuSurface area = 12 thousand sq. km.

0.2 0.2 751.82.0 1.9 2.322 24 28

0.2 0.3 2841,240 1,600 3783,000 3,170 1,427

2.7 6.8 6.10.7 4.8 3.7

68 69 5238 32 98

.. .. 38

.. .. ..

.. .. ..114 120 101111 116 89

.. ..

.. ..

.. ..

84 8718 41

93 94.. ..

62 4066 48

.. 13087 88

.. ..134 59

60 60.. 50

17 83333 182

0.1 0.1 0.2 0.2 2.4 2.5 2.0113 151 245 341 2.1 3.7 0.7

18.9 20.7 15.6 15.0 2.1 2.2 -0.56.6 12.3 9.3 8.8 3.2 0.6 -3.84.2 5.5 4.4 3.6 12.2 0.4 -8.9

66.3 67.0 75.1 76.2 1.9 4.7 -2.352.0 61.3 66.7 .. 0.9 3.4 ..27.0 30.9 26.1 .. -1.9 4.1 ..25.7 34.9 20.0 .. 6.1 4.2 ..33.2 49.5 43.6 .. -2.9 3.7 ..41.8 76.7 56.5 .. 0.6 -0.2 ..22.6 31.9 8.3 .. -1.5 -18.9 ..

















ReceivedPaid



LDC country table VANUATU

0

50

100

150

200

250

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

25

50

202003200220012000

Vanuatu

LDCs

per 1,000 people


2.5 1.41.2 -1.6 a

137.6 109.3 a

.. ..

.. ..

26 40 a

89 140 a

10 -39 a

5 -45 a

2.0 -13.2 a

39 67 a

75 1182 3

30.5 37.41.0 1.9

20 220 0

46 3819.8 12.4

9 198 64 5

-6 -61 1 a

.. ..

.. ..

35 1173 18

22.4 ..18.3 ..21.3 ..

.. ..

-0.8 ..

.. ..

.. ..

49 a

56 a

39 a

188 a

.. ..

.. ..

.. ..

.. ..

12 1236.1 36.1 a

.. ..

0.42 0.42

.. ..

.. ..

.. ..

23.9 ..12.5 14.520.9 36.2

.. ..

.. ..

Australia France New Zealand



Key IndicatorsLDCs












school (%)

LDC country tableYEMEN

0

20

40

60

80

100

120

2005200420032002200120001999

LDCs

Yemen

0

50

100

150

200

250

2004200019951990

LDCs

Yemen

Yemen

YemenSurface area = 528 thousand sq. km.

17.9 21.0 751.83.1 3.1 2.325 26 28

7.3 12.7 284410 600 378730 920 1,4274.4 4.2 6.11.2 1.0 3.7

59 61 5284 82 9846 46 38

.. .. ..

.. .. ..93 102 10159 72 89

3.6 10.2 a

.. 41.8 a

.. 7.4 a

.. 62

.. 48

.. 639 6

142 11169 76

.. 57016 27

.. ..139 89

69 6921 30

10 9233 12

8.2 12.1 17.9 21.0 3.9 3.9 3.1.. 4,828 9,438 14,452 .. 6.0 5.9

.. 24.2 14.0 12.9 .. 5.6 5.2

.. 26.8 47.2 35.4 .. 7.5 2.8

.. 9.3 5.2 4.6 .. 3.7 3.0

.. 49.0 38.8 51.8 .. 5.4 3.8

.. 73.8 62.5 79.8 .. 2.9 9.5

.. 17.5 12.7 12.9 .. 1.3 4.9

.. 14.6 17.3 17.2 .. 10.9 8.0

.. 14.3 42.5 22.4 .. 16.5 -3.9

.. 20.1 34.9 32.3 .. 8.0 3.3

.. 27.9 32.7 7.0 .. 19.4 -8.7

















ReceivedPaid



LDC country table YEMEN

0

1,000

2,000

3,000

4,000

5,000

200520042003200220012000

merchandise exports

merchandise imports

US$ millions

0

5

10

20042003200220012000

Yemen

LDCs

per 1,000 people


4.6 10.825.7 11.4 b

161.7 191.5 b

100 125100 144

4,079 4,883 b

2,324 4,328 b

714 1,467 b

1,337 1,215 b

14.2 8.4 b

2,914 6,141 b

5,075 5,488243 223

53.8 42.54.5 3.5

6 1440 0

265 2523.0 2.1

57 4332 3634 30

-50 -100247 265 b

2.1 1.660.5 66.4

1,288 1,28361 109

United States Germany Netherlands

24.3 ..9.4 ..

22.1 ..5.0 6.5

-2.3 ..

.. ..

.. ..

90 b

151 b

63 b

21 b

.. ..

.. ..

.. ..

.. ..

34 341.0 1.0 b

.. ..

0.51 0.68

2.9 3.0

272 289.. ..

11.5 ..2.0 14.80.8 8.9

.. ..

0.9 13.0



Key IndicatorsLDCs












school (%)

LDC country tableZAMBIA

0

20

40

60

80

100

120

20052004200320022001200019991998

LDCs

Zambia

0

50

100

150

200

250

2004200019951990

LDCs

Zambia

Zambia

ZambiaSurface area = 753 thousand sq. km.

10.7 11.7 751.82.0 1.6 2.335 37 28

3.1 5.7 284290 490 378740 950 1,4273.6 5.1 6.11.5 3.4 3.7

38 38 52102 102 98

25 23 38.. 76 .... 60 ..

77 101 10172 97 89

64.6 75.8.. 72.9 a

.. 6.1

.. 6621 26

.. 9329 ..

180 18290 84

.. 75051 43

.. 17.0297 680

50 5541 45

8 3457 94

6.1 8.4 10.7 11.7 3.2 2.4 1.73,884 3,288 3,238 7,257 1.0 0.5 4.7

15.1 20.6 22.3 18.6 3.6 4.2 1.942.1 51.3 25.3 25.2 1.0 -4.2 8.418.3 36.1 11.4 11.6 4.1 0.8 5.142.8 28.1 52.4 56.3 -0.2 2.5 3.855.2 64.4 82.2 69.5 3.6 1.1 1.725.5 19.0 9.5 13.4 -3.4 -8.1 7.223.3 17.3 18.7 25.8 -4.3 5.4 4.841.4 35.9 21.1 16.4 -3.3 2.8 12.745.4 36.6 31.4 25.2 -2.0 1.5 8.3

7.3 6.9 2.9 8.3 .. .. 68.7

















ReceivedPaid



LDC country table ZAMBIA

0

1,000

2,000

3,000

4,000

5,000


merchandise imports

US$ millions

0

10

20

25

20042003200220012000

Zambia

LDCs

per 1,000 people


26.0 18.3 b

30.0 18.9 b

3,110.8 4,463.5 b

100 177100 179

666 1,720 b

993 2,750 b

-447 ..

-553 ..-17.1 ..

245 560 b

5,723 7,279185 424

176.7 134.220.2 ..

122 334-1 0

795 1,08125.8 21.6

111 28313 10446 82

86 -65357 275 b

0.1 0.1250.9 173.9

.. ..24 24

United Kingdom France United States

24.7 ..18.4 ..17.4 ..

0.6 ..

-0.4 ..

30 3035 35

67 b

44 b

35 b

70 b

.. 82.0

.. 73.9

7.3 7.9.. 1.5

47 4760.1 57.1 b

.. 31.9

0.17 0.18

1.3 1.4

583 5920.2 0.2

22.0 ..6.5 9.81.9 20.10.0 ..

0.6 0.8



NOTES

$1 a day headcount ratio is the percentage of the population living on less than $1.08 a day at 1993 international prices. As a result of revisions in PPP exchange rates, poverty rates cannot be compared with poverty rates reported previously for individual countries. (World Bank)

Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source. Reasonable access is defi ned as the availability of at least 20 liters a person a day from a source within one kilometer of the dwelling. (World Health Organization, UNICEF)

Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. (World Health Organization, UNICEF)

Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. (World Bank)

Adult literacy rate is the percentage of people ages 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. (UNESCO)

Agricultural land refers to the share of land area that is arable, under temporary or permanent crops or under permanent pastures. (Food and Agriculture Organization)

Agriculture is the net output of agriculture (International Standard Industrial Classifi cation divisions 1–5 including forestry and fi shing) after totaling outputs and subtracting intermediate inputs. (World Bank, OECD)

Aid is offi cial development assistance and offi cial aid received from members of the Organisation for Economic Co-operation and Development (OECD) Development Assistance Committee and other offi cial donors. Ratios are computed using values in U.S. dollars converted at offi cial exchange rates. (OECD)

Aid per capita includes both offi cial development assistance (ODA) and offi cial aid, and is calculated by dividing total aid by the midyear population estimate. (OECD)

Bank branches are deposit money bank branches. (World Bank)

Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns. (UNICEF)

Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas fl aring. (Carbon Dioxide Information Analysis Center)

Cash surplus or defi cit is revenue (including grants) minus expense, minus net acquisition of non-fi nancial assets. (International Monetary Fund)

Child malnutrition is the percentage of children under fi ve whose weight for age is more than two standard deviations below the median reference standard for their age. Figures are based on children under age three, four, and fi ve years of age, depending on the country. (World Health Organization)

Consumer price index refl ects changes in the cost to the average consumer of acquiring a basket of goods and services, which may be fi xed or changed at specifi ed intervals. The Laspeyres formula is generally used. (International Monetary Fund)

Corruption measures the share of senior managers who ranked corruption as a major or very severe constraint. (World Bank)

Current account balance is the sum of net exports of goods, services, net income, and net current transfers. (International Monetary Fund)

Debt outstanding and disbursed is the total outstanding long-term debt at year end. (World Bank)

Debt service payments are the sum of principal repayments and interest payments in the year specifi ed. (World Bank)

Disbursements are drawings on loan commitments during the year specifi ed. (World Bank)

Ease of doing business index ranks economies from 1 to 155. The index is calculated as the ranking on the simple average of country percentile rankings on each of the 10 topics covered in Doing Business in 2006. The ranking on each topic is the simple average of the percentile rankings on its component indicators. (World Bank)



Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. (International Energy Agency)

Expenditures for research and development are current and capital expenditures (both public and private) on creative work undertaken systematically to increase knowledge, including knowledge of humanity, culture, and society, and the use of knowledge for new applications. R&D covers basic research, applied research, and experimental development. (UNESCO)

Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefi ts, and other expenses such as rent and dividends. (International Monetary Fund)

Export price index is derived from UNCTAD’s value indexes or from current values of merchandise exports. (UNCTAD)

Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, fi nancial, information, business, personal, and government services. They exclude labor and property income (formerly called factor services) as well as transfer payments. (World Bank, OECD)

Fixed lines are telephone mainlines connecting a customer’s equipment to the public switched telephone network. Mobile phone subscribers refer to users of portable telephones subscribing to an automatic public mobile telephone service using cellular technology that provides access to the public switched telephone network. (International Telecommunication Union, World Bank)

Foreign direct investment are the net infl ows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net infl ows in the reporting economy. (International Monetary Fund, World Bank)

Forest area is land under natural or planted stands of trees, whether productive or not. (Food and Agriculture Organization)

GDP implicit defl ator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. (World Bank, OECD)

GDP is gross domestic product at purchaser prices. It is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. (World Bank, OECD)

GDP per unit of energy use is the ratio of PPP GDP to kilograms of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2000 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States. (International Energy Agency, World Bank)

General government fi nal consumption expenditure includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. (World Bank, OECD)

GNI (gross national income) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at offi cial exchange rates for comparisons across economies. To smooth fl uctuations in prices and exchange rates, the Atlas method is used by the World Bank, which averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of infl ation between the country, and the Euro Zone, Japan, the United Kingdom, and the United States. (World Bank)

GNI per capita is the gross national income divided by the midyear population. GNI per capita based on purchasing power parity (PPP) is converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar



has in the United States. (World Bank)Gross capital formation consists of outlays on additions to the fi xed assets of the economy plus net changes in the level of inventories. (World Bank, OECD)

Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that offi cially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. (UNESCO)

Gross savings are calculated as gross national income less total consumption, plus net transfers. (World Bank, OECD)

Growth rates are based on constant local currency. Period growth rates use the least squares method.

Highest marginal tax rate (corporate rate) is the highest rate shown on the schedule of tax rates applied to the taxable income of corporations. Individual rate is the highest rate shown on the schedule of tax rates applied to the taxable income of individuals. (PricewaterhouseCoopers)

High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientifi c instruments, and electrical machinery. (United Nations)

HIV prevalence refers to the percentage of people ages 15-49 who are infected with HIV. (UNAIDS, World Health Organization)

Household fi nal consumption expenditure is the market value of all goods and services, including durable products purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. Household consumption expenditure also includes the expenditures of nonprofi t institutions serving households, even when reported separately by the country. This item also includes any statistical discrepancy in the use of resources relative to the supply of resources. (World Bank, OECD)

Import price index is derived from UNCTAD’s value indexes or from current values of merchandise imports. (UNCTAD)

Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, fi nancial, information, business, personal, and government services. They exclude labor and property income (formerly called factor services) as well as transfer payments. (World Bank, OECD)

Industry is the net output of industry (International Standard Individual Classifi cation divisions 10–45, which includes mining, manufacturing, construction, electricity, water, and gas) after totaling outputs and subtracting intermediate inputs. (World Bank, OECD)

Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. (Harmonized estimate of the World Health Organization, UNICEF, and the World Bank)

Interest payments are actual amounts of interest paid in foreign currency, goods, or services in the year specifi ed. (World Bank)

Internet users are people with access to the worldwide network. (International Telecommunication Union)

Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (World Bank)

Manufacturing refers to the net output of industries belonging to ISIC divisions 15-37 after totaling outputs and subtracting intermediate inputs. (World Bank, OECD)

Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. The data are estimated with a regression model using information on fertility, birth attendants, and HIV prevalence. (World Health Organization, UNICEF, and UNFPA)

Measles immunization measures the percentage of children ages 12-23 months who received a vaccination before 12 months or at any time before the survey. (World Health Organization)

Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in U.S. dollars. (World Trade Organization)



Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in U.S. dollars. (World Trade Organization)

Military expenditures include all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. (Stockholm International Peace Research Institute)

National poverty line headcount ratio is the percentage of the population living below the national poverty line. National estimates are based on population-weighted subgroup estimates from household surveys. (World Bank)

Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between residents of one country and the rest of the world. (International Monetary Fund)

Paved roads are those surfaced with crushed stone (macadam) and hydrocarbon binder or bituminized agents, with concrete, or with cobblestones, as a percentage of all the country’s roads, measured in length. (International Road Federation)

Personal computers are self-contained computers designed to be used by a single individual. (International Telecommunication Union)

Policy uncertainty measures the share of senior managers who ranked economic and regulatory policy uncertainty as a major or very severe constraint. (World Bank)

Population is based on the de facto defi nition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. (World Bank)

Portfolio investment fl ows are net and include non-debt-creating portfolio equity fl ows (the sum of country funds, depository receipts, and direct purchases of shares by foreign investors). (International Monetary Fund, World Bank)

Primary completion rate is the percentage of students completing the last year of primary school. It is calculated

by taking the total number of students in the last grade of primary school, minus the number of repeaters in that grade, divided by the total number of children of offi cial graduation age. (UNESCO)

Principal repayments are actual amounts of principal (amortization) paid in foreign currency, goods, or services in the year specifi ed. (World Bank)

Protected areas are totally or partially protected areas of at least 1,000 hectares that are designated as scientifi c reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, and protected landscapes. Marine areas, unclassifi ed areas, and intertidal areas are not included. The data also do not include sites protected under local or provincial law. (World Conservation Monitoring Centre)

Ratio of girls to boys in primary and secondary education is the percentage of girls to boys enrolled at primary and secondary levels in public and private schools. (UNESCO)

Reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. (International Monetary Fund)

Revenue is cash receipts from taxes, social contributions, and other revenues such as fi nes, fees, rent, and income from property or sales and grants.

Services is the net output of services (International Standard Industrial Classifi cation divisions 50–99) after totaling outputs and subtracting intermediate inputs. This sector is derived as a residual and may not properly refl ect the sum of services outputs, including banking and fi nancial services. (World Bank, OECD)

Share of consumption to poorest quintile is the percentage share of income or consumption that accrues to lowest 20% of the population. (World Bank)

Share of electricity generated by coal refers to the percentage of electrical power generated from coal inputs. (International Energy Agency)

Stock market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated



companies listed on the country’s stock exchanges at the end of the year. Listed companies does not include investment companies, mutual funds, or other collective investment vehicles. (Standard & Poor’s)

Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fi nes, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue. (International Monetary Fund)

Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. (World Bank)

Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. The exports denominator in the debt ratio includes goods, services, income and workers’ remittances. (World Bank)

Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. (World Bank)

Tuberculosis incidence is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases. (World Health Organization)

Under-5 mortality rate is the probability that a newborn baby will die before reaching age fi ve, if subject to current age-specifi c mortality rates. The probability is expressed as a rate per 1,000. (Harmonized estimate of the World Health Organization, UNICEF, and the World Bank)

Urban population is the midyear population of areas defi ned as urban in each country and reported to the United Nations. (United Nations)

Women employed in the nonagricultural sector is the share of female workers in the nonagricultural sector (industry and services), expressed as a percentage of total employment in the nonagricultural sector. (International Labour Organization)

Workers’ remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. (World Bank)


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