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.
Least Developed Country:Yes
Since 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:0.575
GII 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:0.723
GDI measures gender inequalities in achievement in three basic dimensions of human development: health, education, and command over economic resources.
Population:209,497,025
Source of population data: United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects: The 2022 Revision
Male:19,976,265 (9.5%)
Female:189,520,760 (90.5%)
Gender statistics sex-disaggregated data and knowledge in West and Central Africa are produced, analyzed and used to inform policy-making, advocacy and accountability for delivering gender equality and women's empowerment results in Disaster Risk Reduction (DRR) settings.
Procuction, analysis and use of gender statistics and sex-disaggregated data and knowledge
Gender statistics sex-disaggregated data and knowledge in West and Central Africa are produced, analyzed and used to inform policy-making, advocacy and accountability for delivering gender equality and women's empowerment results in Disaster Risk Reduction (DRR) settings.
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
Gender statistics and sex disaggregated data on DRR are produced and used to inform DRR national policies and Sendai Framework reports
Gender statistics sex-disaggregated data and knowledge in West and Central Africa are produced, analyzed and used to inform policy-making, advocacy and accountability for delivering gender equality and women's empowerment results in Disaster Risk Reduction (DRR) settings.
35 participants were trained on collection of Disaggregated data. A draft guidance were developped and is under finalization. It will be shared widely with key actors working on DRR. UNWOMEN has also recruted an expert who continue to provide technical support to partners.Disclaimer and notes
References to Kosovo shall be understood to be in the context of United Nations Security Council resolution 1244 (1999).