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%)
By 2026 state and non-state actors coordinate and deliver commitments on gender equality and women's empowerment
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 :
2023-2026
OUTCOME
TJK_D_1.2
By 2026 state and non-state actors coordinate and deliver commitments on gender equality and women's empowerment
SP_D_0.7.1
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)
SP_D_0.7.1
Country
Percentage of ratings of reporting entities that meet or exceed UN-SWAP standards (derived from QCPR indicator 1.4.13) (Desk Review)
Strategic Note Outcome Progress NoteShowing data of :
2023
By 2026 state and non-state actors coordinate and deliver commitments on gender equality and women's empowerment
UN Women has made strong progress towards achieving this outcome in 2023. In 2023, UN Women in coordination with RCO Tajikistan initiated and conducted the process of Annual UNCT-SWAP Scorecard reporting for Tajikistan. It followed by further in-person meeting of the IAT to jointly review the AP and indicators and the progress done, provided guidance to UNCTs, made a presentation to IAT/UNCT team to agree upon on five indicators to be assessed and reported. The Report was submitted timely in 2023 to the SWAP Desk. UN Women led the preparations, data collection, review, and UNCT endorsement of the report. RCO and UN Women played an instrumental role in ensuring the collaborative nature and timeliness of the process. The concerted work of the UN Inter-Agency Team and UN Women's leadership role were highly praised by RC.
Out of five indicators assessed in 2023, 4 (four) performance indicators have been rated as exceeding UN-SWAP standards and only one rated as approaching.
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.
