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%)
Strategic Note Outcome Progress NoteShowing data of :
2022
Assuring an accountable organization through principled performance
The output cluster was achieved through improved administration of resources through budget, financial, HR, IT and Risk management. UN Women Serbia office followed up on the remaining recommendations given by the limited audit. Recruitment of Operations Analyst and Administrative Assistant were completed in August 2022.In the reporting period, the Office was in regular contact with UNDSS and UN Women Regional Security Specialist to ensure that office locations meet the security standards and that all staff passed mandatory security trainings. The staff was informed to take the mandatory information security trainings and complied to security policies. Overall security and safety compliance was 98.4%, Info sec 80% InfoSec training 100%. UN Women maintained both permanent offices at UN House and alternate offices-working remotely. In line with UNCT Guidance and protocols for return to Office, the staff returned to office in 50% of normal capacity of each office on rotational basis, depending on the availability of office space. The Office conducted its activities in line with 2022 Risk Register, and 2022 InfoSec Compliance Plan as part of the 2022-2023 BWP and in accordance with the guidelines and training provided by HQ and UNDSS. Mid-term review of the Risk Register was completed, and 2023 Risk Register created. At the end of the year, core delivery was 100% utilization 100%, non-core delivery was 92.07%%. utilization is 95.21%. Detailed monthly delivery projections were made for all projects and budget revisions where necessary. The month-end check lists for each month were prepared and submitted in a timely manner. The Office prepared internal delivery exercises with appropriate mitigation plan per each project. The year-end checklist is in preparation. The Office submitted donors reports on time. The supporting evidence is enclosed.
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.
