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%)
Gender statistics, sex-disaggregated data, and knowledge are produced, analysed and used to inform countries´policies and norms and UN Women programming, advocacy and accountability for delivering gender equality and women´s empowerment results
Activity DetailsResourcesOutcome Indicators and ResultsStrategic Note Outcome Progress NoteDocuments
Outcome details
SDG alignment
Impact areas
Organizational outputs
Policy markerGENDER EQUALITY
Humanitarian scopeNo
UN system function
Outcome Description
Resources
Planned Budget
Actual Budget
Planned Budget
Actual Budget and Shortfall
Expenses
Outcome Indicator and ResultsPlan Period :
2023-2025
OUTCOME
LAC_D_3.3
Gender statistics, sex-disaggregated data, and knowledge are produced, analysed and used to inform countries´policies and norms and UN Women programming, advocacy and accountability for delivering gender equality and women´s empowerment results
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.
Strategic Note Outcome Progress NoteShowing data of :
2023
Gender statistics, sex-disaggregated data, and knowledge are produced, analysed and used to inform countries´policies and norms and UN Women programming, advocacy and accountability for delivering gender equality and women´s empowerment results
In 2023, the Data and Statistics area of the UN Women's Regional Office for Latin America and the Caribbean significantly enhanced gender statistics' integration and utilization across various sectors. This initiative, crucial for the region's efforts towards gender equality, involved in-depth technical support and the development of partnerships aimed at mainstreaming gender perspectives in statistical production and policymaking.
The data and Statistics area is responsible for the Women Count regional Program, which seeks to change how gender statistics are used, created, and promoted. It considers the coordination and support in the planned activities in the LAC region and specifically in México, Uruguay, Argentina, MCO -UN Women, and Colombia. It considers coordinating at the regional level and supporting activities, such as training, knowledge products, and methodological tools on gender statistics. The support extended to country offices, notably in Brazil, Argentina, Uruguay, and 17 CARICOM countries, involved technical assistance for analyzing gender statistics and gender statistics training programs, thereby empowering these offices to leverage data in advancing gender equality goals.
Developing knowledge products in coordination with the governments is crucial for its use. Also, the training programs guarantee capacity building on gender statistics across the LAC region; they provide a solid foundation for participants to improve their statistical skills, specifically in gender-related data collection and analysis.
Also, UN Women worked closely with key regional partners, ECLAC, CARICOM, CLACSO, UN agencies, national statistics offices, and MAMs to streamline gender statistics activities. This collaboration aimed at ensuring a unified approach across the region, enhancing the accuracy and relevance of gender data.
A landmark achievement was the collaboration with the Statistical Conference of the Americas (SCA). As part of the contributions, UN Women has been part of the Advisory Group for mainstreaming the Gender perspective in the SCA's working groups. Likewise, jointly with ECLAC, we served as technical co-secretaries for the working group responsible for developing the "Guide for Mainstreaming the Gender Perspective in Statistical Production." This guide, endorsed (SCA) as a regional guideline, represents a significant step towards embedding gender considerations into the creation of statistical analysis and policy development. It was developed in coordination with the NSOs from the region.
The Global Centre of Excellence on Gender Statistics (CEGS), in coordination with UNODC, EVAW, Regional Offices, and UNODC, has participated in various meetings to introduce tools and guidance for piloting the femicide statistical framework. Ecuador will implement the pilot in the region, showcasing the region's dedication to addressing femicide through improved data collection and analysis.
Finally, UN Women (RO and Mexico), ECLAC, INEGI, and INMUJERES organized 3 international events related to gender statistics. This gathering brought together experts from various fields, from NSOs, MAMs, academia, and international organizations, highlighting the regional dedication to advancing gender statistics
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Strategic Note (SN) Development Results and Resources Framework
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.
