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 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.
Under the technical guidance of the regional gender and statistic unit and of the Women Count regional project, many initiatives are in progress in the region to increase the number of SGG indicators, as the VAW Survey in Senegal, the TUS in Nigeria and Liberia the RGA on cost of living in Senegal. UN Women Senegal project, Women Count, has been granted a funds from the Government of Italy to support activities in Senegal to improve national-level SDG monitoring through Citizen Generated data. To support countries in the region on Statistics, the R O Gender Statistic unit has organized a regional webinar on the use of CDG for measuring SDGs. This was done in collaboration with ESARO to share with ANSD and other government agencies interested in statistics/SDGs and CSOs (over 40 persons and 16 CSOs ) what other African countries have already undertaken in this area. Publication of UNW Count programme is avilble and englobes 11 coutreies of Central Africa.Disclaimer and notes
References to Kosovo shall be understood to be in the context of United Nations Security Council resolution 1244 (1999).