Region:Asia PacificCurrent UN Women Plan Period Afghanisthan:2018-2022
World Bank Income Classification:Low IncomeThe World Bank classifies economies for analytical purposes into four income groups: low, lower-middle, upper-middle, and high income. For this purpose it uses gross national income (GNI) per capita data in U.S. dollars, converted from local currency using the World Bank Atlas method, which is applied to smooth exchange rate fluctuations.Least Developed Country:YesSince 1971, the United Nations has recognized LDCs as a category of States that are deemed highly disadvantaged in their development process, for structural, historical and also geographical reasons. Three criteria are used: per capita income, human assets, and economic vulnerability.Gender Inequality Index:0.575GII is a composite metric of gender inequality using three dimensions: reproductive health, empowerment and the labour market. A low GII value indicates low inequality between women and men, and vice-versa.Gender Development Index:0.723GDI measures gender inequalities in achievement in three basic dimensions of human development: health, education, and command over economic resources.
Population:209,497,025Source of population data: United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects: The 2022 RevisionMale:19,976,265 (9.5%)Female:189,520,760 (90.5%)
Both state and non-state actors contribute to the production, analyses and leveraging of gender statistics and sex-disaggregated data to inform decision-making, budgeting, monitoring and reporting on normative commitments to advance gender equality and women’s empowerment
Activity DetailsResourcesOutcome Indicators and ResultsStrategic Note Outcome Progress NoteDocuments
Outcome details
SDG alignment
Impact areasGovernance and participation in public life
Organizational outputsGender statistics
Policy markerGENDER EQUALITY
Humanitarian scopeNo
UN system functionAdvocacy, communications and social mobilizationCapacity development and technical assistanceComprehensive and disaggregated data (discontinued)Direct support and service deliveryIntegrated policy advice and thought leadership
Outcome Description
UN Partners
UNICEF
Resources
$2.01 MPlanned Budget
$0.00Actual Budget
$2.01 MPlanned Budget
Outcome Indicator and ResultsPlan Period :
2023-2025
OUTCOME
APA_D_1.5
Both state and non-state actors contribute to the production, analyses and leveraging of gender statistics and sex-disaggregated data to inform decision-making, budgeting, monitoring and reporting on normative commitments to advance gender equality and women’s empowerment
SP_D_0.6.2
SP_D_0.6.2
Country
Number of national plans and strategies that integrate gender statistics as an objective or strategy (CO, RO, HQ)
Complementary indicators are identified as those in the results framework
that are not repeated verbatim in the results framework of another United Nations entity, but are related or provide
different but complementary lenses or insights into the same issue, high-level result and/or area of complementary work,
such as a Sustainable Development Goal target.
Complementary
UNICEF
2023
Result0
SP_D_0.6.2
Country
2022
Baseline
00
2023
Milestone
11
Result
00
2024
Milestone
22
Result
--
2025
Target
22
Result
--
SP_D_0.6.3
SP_D_0.6.3
Country
Number of countries demonstrating use of gender statistics, analysis, and policy relevant research (CO, RO, HQ)
Complementary indicators are identified as those in the results framework
that are not repeated verbatim in the results framework of another United Nations entity, but are related or provide
different but complementary lenses or insights into the same issue, high-level result and/or area of complementary work,
such as a Sustainable Development Goal target.
Institutional frameworks, systems and processes (of regional and national actors) are strengthened, to support the production and use of gender statistics and sex-disaggregated data (and related products and services), for better monitoring and reporting of progress against GEWE-related normative commitments, and to inform the development and implementation of policies, laws and strategies.
Planned Budget:$4.14 M
Actual Budget and Shortfall:$80.34 K
Expenses:$80.34 K
APA_D_1.5.1A
APA_D_1.5.1A
Country
Indicator: number of expert fora/meetings that inform policy making per year
2023
Result20
APA_D_1.5.1A
Country
2017
Baseline
00
2023
Milestone
1111
Result
2020
2024
Milestone
1212
Result
--
2025
Target
1313
Result
--
APA_D_1.5.1B
APA_D_1.5.1B
Country
Number of non-conventional data initiatives with focus on gender issues conducted and/or analysed with UN Women’s support (GS)
2023
Result9
APA_D_1.5.1B
Country
2021
Baseline
55
2023
Milestone
66
Result
99
2024
Milestone
66
Result
--
2025
Target
66
Result
--
APA_D_1.5.1M
APA_D_1.5.1M
Country
Number of institutions using the Women Count gender statistics training programme (GS)
2023
Result22
APA_D_1.5.1M
Country
2021
Baseline
1212
2023
Milestone
1515
Result
2222
2024
Milestone
1616
Result
--
2025
Target
1616
Result
--
SP_D_0.6.a
SP_D_0.6.a
Country
Number of inter-agency coordination mechanisms governing the production of multi-level disaggregated gender statistics and sex-disaggregated data, established or strengthened (CO, RO, HQ)
2023
Result1
SP_D_0.6.a
Country
2021
Baseline
11
2023
Milestone
22
Result
11
2024
Milestone
22
Result
--
2025
Target
22
Result
--
OUTPUT
APA_D_1.5.2
Regional and national state and non-state actors have increased access to gender data products (incl. statistical reports and analyses) to inform national policies, laws, strategies and tracking of progress on GEWE-related commitments
Planned Budget:$991.79 K
Actual Budget and Shortfall:$0.00
Expenses:$0.00
APA_D_1.5.2A
APA_D_1.5.2A
Country
Number of data, research and analysis papers/reports, or other kinds of knowledge products on gender issues supported or developed by the Centre (COE).
2023
Result6
APA_D_1.5.2A
Country
2021
Baseline
00
2023
Milestone
22
Result
66
2024
Milestone
33
Result
--
2025
Target
44
Result
--
SP_D_0.6.b
SP_D_0.6.b
Country
Number of data producers and users with strengthened capacities in the collection, analysis, dissemination and use of gender statistics (CO)
2023
Result200
SP_D_0.6.b
Country
2021
Baseline
00
2023
Milestone
4040
Result
200200
2024
Milestone
2020
Result
--
2025
Target
2525
Result
--
Strategic Note Outcome Progress NoteShowing data of :
2023
Both state and non-state actors contribute to the production, analyses and leveraging of gender statistics and sex-disaggregated data to inform decision-making, budgeting, monitoring and reporting on normative commitments to advance gender equality and women’s empowerment
During 2023, UN Women contributed to significant progress under the outcome. Countries in the region heightened their commitment to producing and using gender statistics, recoginsing their value in informing strategies, plans, and policies that advance the situation of women and girls in their country. In October 2023, the Pacific Roadmap on Gender Statistics was endorsed by unanimity by the Heads of Planning and Statistics (HOPS). Comprising the most senior officials responsible for the production and use of statistics at national levels, the HOPS endorsement further strengthens the commitment of Pacific Island Countries and Territories (PICTs) to the production and use of gender statistics. The roadmap aims to promote the production of quality, relevant, and timely gender data, its dissemination, and its effective use to advance gender equality. It was developed in 2020 by data users and producers across PICTs, coordinated by the Pacific Community (SPC) and UN Women. As co-chairs of the Pacific Gender Statistics Coordination Group, UN Women and SPC coordinate its implementation across countries, respond to emerging requests, and align support from development partners. The group has been instrumental in responding to country requests for support in a timely manner, including through coordination and fund pooling among development partners.
In the ASEAN sub-region, the South-South and Triangular Cooperation Group on Gender Statistics for tracking progress towards the SDGs and beyond was established in 2023. Through knowledge sharing and joint establishment of priorities, this new cooperation mechanism will accelerate progress towards the production and use of gender data for a gender-responsive implementation of ASEAN Community Vision 2025, and the monitoring of the Sustainable Development Goals and other frameworks such as the Sendai Framework for Disaster Risk Reduction. Established through collaboration between UN Women and the ASEAN Secretariat, its co-chairs, and representatives from National Statistics Offices and policymakers from ASEAN Member States.
Countries in Asia and the Pacific have been pioneers on the production and use of data on gender and the environment. Through continued collaboration between UN Women and UN ESCAP, a revised regional set of indicators for gender and the environment exists. Upon their request and with financial and technical support from UN Women, Tonga and Samoa became the second and third countries globally to implement nationally representative surveys on Gender and the Environment. The methodology , developed by UN Women and partners, collects data on the different effects of disasters, climate change biodiversity loss and pollution on women and men, and on the roles they play on environmental conservation and degradation. Thus, the data enables gender-responsive climate policy. During COP 28, held in Dubai in November 2023, representatives from the Kingdom of Tonga shared the results from its recently-published Gender-Environment Survey . Evidence from the survey informed discussions during the Global Conference on Gender and Environment data , co-organised by the COP Presidency, UN Women, and others. The conference underscored the vital roles of Indigenous Peoples, local communities, and civil society organizations in improving the production and use of gender-environment statistics. The need for inclusion and collaboration was emphasized in the subsequent Global Call for Action . UN Women has received various requests to support gender-environment surveys in other countries. Cambodia and Kiribati are expected to be rolled out in 2024.
Lastly, several institutions in the region contributed to strengthening the capacity of data users and producers on gender statistics in their countries. In 2023, at least 8 universities, national statistics offices and training institutes have used the Gender Statistics Training Curriculum developed by the Subgroup on Gender Statistics Training, co-chaired by UN Women and the United Nations Statistical Institute for Asia and the Pacific (SIAP), to build the capacity of journalists, government officials, and university students. The Hong Kong Baptist University and the National University of Mongolia have rolled out gender courses based on the curriculum. As a result, over 100 students gained knowledge on gender statistics production and use, including their importance for policy making and monitoring, and how to best communicate and interpret them.
In 2023, UN Women disseminated data shedding light on the situation of women and girls in the region. For example, decision makers had access to evidence on the gendered effects of climate change , the effects of climate change on poverty and food security , a climate scenario online tool , a crisis update on women in Afghanistan, and evidence on violence against women during disasters and crises.
UN Women will continue to strengthen the capacity of data users and producers to generate more and better gender data, and promote their use for policy making, advocacy, monitoring and accountability purposes in 2024.
Disclaimer and notes
The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.
The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.
References to Kosovo shall be understood to be in the context of United Nations Security Council resolution 1244 (1999).
World Bank Income Classification:Low Income
The World Bank classifies economies for analytical purposes into four income groups: low, lower-middle, upper-middle, and high income. For this purpose it uses gross national income (GNI) per capita data in U.S. dollars, converted from local currency using the World Bank Atlas method, which is applied to smooth exchange rate fluctuations.
