gender mainstreaming in national statistics systems

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GENDER MAINSTREAMING INNATIONAL STATISTIC

SYSTEMSA Situational Analysis in Central and West Asia

Susann Roth

(Social Development Specialist, CWRD)

December 2011GENDER & DEVELOPMENT - GETTING THE BALANCE RIGHT!

The views expressed in this paper are the views of the author and do not necessarily reflect the views or

policies of the Asian Development Bank (ADB), or its Board of Governors, or the governments they represent.

ADB does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any

consequence of their use. The countries listed in this paper do not imply any view on ADB's part as to

sovereignty or independent status or necessarily conform to ADB's terminology.


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Nowadays womenhave the same

opportunities as

men. So where isthe problem?

All our data are sex-disaggregated

anyway. Whats the

problem?

Businessstatistics does notrelate to gender.

There is nospace.

Gender statistics isnot a statistical field,what is special about

it?

The role of women is notan issue in our country.

We have resource

constraints and we needto concentrate on other

areas.

We do not wantto overburden the

respondents.

GENDER & DEVELOPMENT - GETTING THE BALANCE RIGHT!


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Why Gender Statistics is important


To demonstrate impact of nationalgender equality strategies and action

plans on improving the lives of

women and men.

If is not available, analysed or used,national strategies cannot show their

promised achievements and thus

could make further investments in

gender equality from Governments

and development partnersquestionable.


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CWRDs challenges and solutions to

improve gender mainstreaming



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A Vision


One button

push

In 2011

X number of

women employedX number of

women trainedX number of

women provided

with access to

micro-creditetc., etc.


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ADBs need for sex-disaggregated data


Sector dev.

level

Project level

GAP level

Census, Admin.

records

Surveys, Admin.

records

Surveys


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National Statistic Systems


Ensemble of statistical organizations and units within a

country that jointly collects, process and disseminate

official statistics on behalf of national Government.

National Statistic AgencyLine MinistriesLocal Government units

National Women Machinery

Source of Definition: OECD Glossary


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CWRDs Gender RETA


Output Indicator

Output 1Countries capacity to collect,analyze and use sex-disaggregated data improved

Policy framework for sex-disaggregated data collection developed and

adopted in participating DMCs by 2011

Selected sex-disaggregated data collected and available for gender

analysis and cross-country comparison by 2013

Output 2Sector specific gender issues

assessed

CGA published for Armenia and Georgia by 2013

CGA updated for Azerbaijan, Kazakhstan, Kyrgyz Republic, andUzbekistan by 2013

Output 3Pilot projects, which result ingender equality and which supportADBs investments implemented

Two pilot projects developed in each participating DMC (710 projects

per year) by 2012 and implemented by 2013

One compilation report of 1520 implemented pilot projects published

by 2013

Output 4GAD networks strengthened

Country GAD focal groups established and functional in each

participating DMC by 2011

Quarterly meetings of each country focal group held

Directory and terms of reference of GAD network of each participating

DMC documented by 2011 and updated as needed


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International Commitments


Beijing Platform for Action (1995)

A 2010 review found that after 15 years:

Progress cannot be measured in critical areas

because of limited or non-existent data;because many gaps remain;

since there is a need forincreased

investment in data collection and analysis.

Source: Commission on the Status of Women 2010

(E/CN.6/2010/CRP.5)


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Methodology of the Situational Analysis



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Assessment of Central and West Asia DMC


Considerablechallenges

Less Progress

Some Progress


12/35GENDER & DEVELOPMENT - GETTING THE BALANCE RIGHT!

Development Partners


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Achievements on Gender Statistics


At regional level:Gender statistics training workshops targeting NSO staff and data

users;

A regional gender statistics website and database created;

Manuals and guidelines developed to support gender mainstreaming in

statistics and translated into Russian.

At national level:Efforts have been undertaken to make censuses and surveys gender-

sensitive;

Collections reviewed to capture sex-disaggregated data where

possible;Compendiums of Women and Men booklets are regularly published

by almost all ten countries .

UNECE Gender Statistics Website and Database http://www.unece.org/stats/gender.html

For example, UNSD (http://unstats.un.org/unsd/methods.htm) and UNECE (www.unece.org/stats ).
http://www.unece.org/stats/gender.htmlhttp://unstats.un.org/unsd/methods.htmhttp://www.unece.org/statshttp://www.unece.org/statshttp://unstats.un.org/unsd/methods.htmhttp://www.unece.org/stats/gender.html


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Gender Statistics Framework



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Demand Exists


All countries developed national strategies to address genderinequality.

Gender budgeting initiatives implemented in Azerbaijan, Georgia

and the Kyrgyz Republic .

Some countries (Georgia, Kazakhstan, Kyrgyz Republic, Tajikistan

and Turkmenistan) introduced legislation on gender statistics,

through a specific provision in laws on gender equality.

NSOs have developed institutional mechanism for gender

statistics.

Awareness-raising through gender statistics training workshops

targeting NSO staff and data users conducted.


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Challenges Demand Exists


Limitations of legislative provisions requirement for genderstatistics not established in the mainstream laws on official statistics.

Weak institutional mechanisms - clear mandates are lacking and

those delegated responsibility for gender statistics have insufficient

authority to influence change.

Lack of gender-specific indicators on poverty, inequality in economic

opportunities, informal sector, governance, stereotyping, violence, impac

of conflict, access to assets, services and state subsidies, etc.

Timeliness of gender statistics is the issue, as well as comparisonsover time.

Limited awareness of gender equality and womens rights concepts

among policy-makers and the general public.


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Data exists


Gender bias in data collection instruments improved (Armenia,

Kazakhstan, Kyrgyz Republic, Tajikistan, Turkmenistan and

Uzbekistan).

New indicators on time-use, poverty, violence against women and

children, time-use available in a number of countries.

Some countries developed databases of gender indicators (as

GenderInfo in Kyrgyz Republic, Tajikistan and Turkmenistan).

New data collection activities related to gender concerns have been

introduced. Afghanistan has begun a survey on gender and decision-making Armenia, Kyrgyz Republic and Pakistan have completed surveys on time

use. Armenia, Georgia, Kazakhstan and the Kyrgyz Republic have conducted

full or pilot surveys on violence against women


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Data exists


In Central and West Asia Data exists on:

Population / demographic indicator, Health, Education,

Work and employment, Crime and violence, Parliament and

power


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Challenges Data exists


Poor coordination between data-producing agencies resulting ingaps in data collection, limited data comparability, and duplication of

effort.

Lack of consultation between data producers and users leading to

limited understanding of users needs and the extent data provided

meet those needs.

Obstacles to collecting gender-related data such as cultural

issues, civil unrest (in some countries), employing trained

enumerators, and reaching remote communities.

Little success in developing statistics needed to influence policies,

legislation, plans, and budgets and lead to positive outcomes for

gender equality.


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Data is disseminated


Countries have published gender statistics products

(Women and Men in Uzbekistan), mostly donors except

Kazakhstan.

Greater efforts to disseminate data. Countries like

Kazakhstan and the Kyrgyz Republic made their Women

and Men booklets available through their official websites.


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Challenges Data is disseminated


Limited capacity in analysing and presenting statistics.

Lack of resources, both human and financial.

Less emphasis on data dissemination and

communication than on collection and processing.


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Data is used


In Azerbaijan, Kyrgyz Republic, Tajikistan and

Uzbekistan, consultations with data users preceded

international reporting and the production of gender

statistics publications.

Data is to some extend used by national womens

machinery.


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Challenges Data is used


Little evidence of regular consultation with users to

discuss emerging needs and monitor the use of gender

statistics.

Only Kazakhstan, Kyrgyz Republic and Tajikistan have

established such a mechanism for the use of gender

statistics.

A key challenge is the capacity of users to access,

understand, analyse, interpret and use statistics.

Gender statistics not yet used for policy-making.


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The 3 sub-regions


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Examples of good practice - Caucasus


Georgia prepared National Action Plan for Gender Equalitythat includes the production of gender statistics as key priority

area.

Focal point for gender in the National Statistical Service of the

Republic ofArmenia is a senior manager, who is part of theoffice decision-making team, and the responsibility for gender

statistics has been devolved across four divisions.

Azerbaijan engendered its 2009 Population and Housing

Census and is producing analysis of census results specifically

focused on gender issues.

Statistical collections on domestic violence have been

introduced/piloted in all Caucasus countries.

Armenia conducts a regular survey on time use.


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Examples of good practice Caucasus (2)


Sex-disaggregated data exists on:

Demography / population

Health

Education and science

Work, unemployment and economic activityCrimeGovernance, influence and powerSocial security and welfare

Family and households

AgricultureCulture and sport


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The 3 sub-regions


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Examples of good practice Central Asia


New database for gender statistics formed in Turkmenistan, including

more than 1500 indicators in 7 sections of Genstat Region. Indicators

are related to various social and economic policy areas, disaggregated

by territory (national, regional and local; also, urban and rural) and sex.

New indicators introduced in Tajikistan to reflect womens access to

land. (ILO)

In the Kyrgyz Republic, harmonized set of indicators developed where

CEDAW, MDGs and national GAD and PRSP indicators were

consolidated into a platform for mainstreaming gender into national

plans and socio-economic programs.

In Uzbekistan, the collections of statistics Women and Men are the

result of collective efforts by the NSO, the Womens Committee (national

machinery of Uzbekistan), and the Centre to Support Civic Initiatives

(NGO).


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Examples of good practice Central Asia (2)


Sex-disaggregated data exists on:

HealthEducation

Economic empowerment of womenPower and decision-making

MigrationViolence against women

Measurement of gender attitudes

Reconciliation of family and work lifeWomen with HIV/AIDS, and other vulnerable and

marginalized groups


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The 3 sub-regions


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Examples of good practice West Asia


National development plans and commitments in

place to create a clear demand for gender statistics.

Gender statistics is included in the statistical masterplan for Afghanistan.

Pakistan conducted a time use survey in 2007.

The Afghanistan Central Statistics Office has a genderstatistics work plan and budget allocated for

dissemination.


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Examples of good practice West Asia (3)


Sex-disaggregated exists on:

Health, nutrition and well-being

Education and literacyHousehold and family structure

Labour force and the informal economyParticipation in decision-making

Access to and control of assetsTime useWater and sanitation

HIV/AIDSGender-based violence


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Next steps of the Project


Develop capacity

development plans for

data producers and users

together with UNESCAP.

Strengthen gender unit of

national statistic

agencies.

Improve advocacy on theneed of gender statistics

to inform national

development policies.


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ADBs next steps


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THANK YOU!

gender mainstreaming in national statistics systems

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