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%)
UN-Women strategically plans for and transforms its business model to deliver impact at scale, through agile and ethical leadership rooted in a continuous improvement culture.
Planned Budget:$485.01 K
Actual Budget and Shortfall:$398.88 K
Expenses:$384.88 K
UKR_O_3.1A
UKR_O_3.1A
Country
Percentage of evaluations rated ''Satisfactory and above''
2023
ResultN/A
UKR_O_3.1A
Country
2017
Baseline
00
UKR_O_3.1B
UKR_O_3.1B
Country
Percentage of programme staffs trained on RBM (Annually)
2023
ResultN/A
UKR_O_3.1B
Country
2017
Baseline
60%60%
UKR_O_3.1C
UKR_O_3.1C
Country
Number of events that facilitate South-South knowledge exchange
2023
ResultN/A
UKR_O_3.1C
Country
2017
Baseline
22
Strategic Note Outcome Progress NoteShowing data of :
2022
High quality of programmes through knowledge, innovation, result-based management and evaluation
Due to the escalation of war and subsequent humanitarian and security crisis, no external audits were conducted, and only limited participation in evaluations/assessments was possible.
The Country Office participated in the regional evaluation on capacity development. The evaluation continues into the first quarter of 2023, and no lessons learned can be extracted yet.
The project “Decentralization and Law Enforcement Reforms: Transformative Approaches to Gender Equality and Women’s Empowerment in Ukraine” (2018–2022) underwent a light final project assessment, which was concluded in December 2022. The report highlights important lessons learned and recommendations for future programming, including how UN Women can continue working with the National Police of Ukraine on gender-responsive policing and with the media for social norms change.
High quality programmes and results-based management was ensured through ongoing monitoring activities and developing progress reports on all project’s progress ad results. Specific humanitarian indicators were also developed, as complementary to the SN indicators, to ensure all results were captured in the evolving humanitarian crisis.
Documents
Title
Categories
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Strategic Note (SN) Development Results and Resources Framework
Intended ultimate beneficiaries, Conditions, Budget, Results, outcomes and outputs
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.
