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 are produced, analysed and used to inform policymaking, advocacy and accountability for delivering gender equality and women’s empowerment results
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Gender statistics, sex-disaggregated data, and knowledge are produced, analysed and used to inform policymaking, advocacy and accountability for delivering gender equality and women’s empowerment results
UN Women reports on this indicator in a global scope, signified by "(Desk Review)" at the end of the indicator statement (see the Our Global Results page for the global result)
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
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
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
Gaps in the planning, coordination, production and use of gender statistics are identified and sustainably addressed.
Technical capacity of governments, civil society and other key actors is strengthened to improve the production and use of gender statistics.
Advocacy and partnerships are strengthened at global, regional and national levels to promote the financing, production and use of gender statistics.
Increased data production and analysis to monitor the SDGs and other national and international priorities.
Statistical business processes are increasingly modernized to improve the production of gender statistics.
Increased accessibility, dissemination and communication of gender data.
User-producer dialogues are institutionalized to increase the quality and use of gender statistics.
Increased use of gender statistics for policy-making, budgeting and reporting is promoted.
Programmatic knowledge and results are systematically captured and shared to enable learning, scaling-up and replication.
Gender statistics, sex-disaggregated data, and knowledge are produced, analysed and used to inform policymaking, advocacy and accountability for delivering gender equality and women’s empowerment results
In light of the new available estimates on the gendered effects of COVID-19 generated by UN Women in 7 countries in 2022, Indonesia and Kiribati have both made use of the findings for national purposes. In the case of Indonesia, the estimates have been used widely to inform speeches and government discussions, including within the context of the G20 discussions held in Indonesia, where the Ministry for Women and Children used the survey estimates to higlight the importance of investing in women's economic empowerment. In the case of Kiribati, a national dialogue on the gendered consequences of COVID-19 resulted in heightened government interest in using the estimates, including to inform discussions on drafting the gender strategy. Furthermore, the figures were used for implementing a training on using gender data, so media professionals, civil society representatives, government officials and statisticians got to learn where to use the data, how to interpret it, and conducted their own analysis with it.Disclaimer and notes
References to Kosovo shall be understood to be in the context of United Nations Security Council resolution 1244 (1999).