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%)
Nurturing an empowered Workforce and advancing an inclusive UN Women culture
Activity DetailsResourcesOutcome Indicators and ResultsStrategic Note Outcome Progress NoteDocuments
Outcome details
SDG alignment
Impact areasEmpowered people
Organizational outputs
Policy markerGENDER EQUALITY
Humanitarian scopeNo
UN system functionDirect support and service delivery
Outcome Description
Improved management of financial and human resources in pursuit of results in North Macedonia PP Office, through capacity building, financial/procurement monitoring, enabling environment and staff wellbeing
Outcome Indicator and ResultsPlan Period :
2022-2023
OUTCOME
MKD_O_4
Nurturing an empowered Workforce and advancing an inclusive UN Women culture
SP_O_4F
SP_O_4F
Country
Percentage of UN-Women female staff among international professional and national staff All international professional staff: i. P-1 ii. P-2 iii. P-3 iv. P-4 v. P-5 vi. D1 and above All National Officers: i. National Officer-A ii. National Officer-B iii. National Officer-C iv. National Officer-D v. National Officer-E (QCPR 3.6.7 / 3.6.8 / 3.6.9) (Desk Review)
UN Women is an employer of choice with a diverse, inclusive and highly motivated and performing staff that embodies UN values
Planned Budget:$280.98 K
Actual Budget and Shortfall:$67.68 K
Expenses:$67.00 K
MKD_O_4.1A
MKD_O_4.1A
Country
N. of donor reports submitted on time
2022
ResultN/A
MKD_O_4.1A
Country
2017
Baseline
11
MKD_O_4.1B
MKD_O_4.1B
Country
N. of donor reports that meet quality standards
2022
Result100
MKD_O_4.1B
Country
2017
Baseline
11
2022
Milestone
--
Result
100100
2023
Target
100100
Result
--
MKD_O_4.1C
MKD_O_4.1C
Country
% of PMD input completed and submitted to ECARO on time
2022
Result100
MKD_O_4.1C
Country
2017
Baseline
100100
2022
Milestone
--
Result
100100
2023
Target
100100
Result
--
MKD_O_4.1D
MKD_O_4.1D
Country
% of staff completed UN Women mandatory training courses
2022
ResultN/A
MKD_O_4.1D
Country
2017
Baseline
9090
MKD_O_4.1E
MKD_O_4.1E
Country
Compliance with UNDSS country related MOSS
2022
ResultN/A
MKD_O_4.1E
Country
2010
Baseline
100%100%
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.
