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%)
[Deactivated] Women are empowered to build resilient, cohesive and peaceful communities to prevent terrorism and hate speech.
Activity DetailsResourcesOutcome Indicators and ResultsStrategic Note Outcome Progress NoteDocuments
Outcome details
SDG alignment
Impact areasWomen, peace and security, humanitarian action and disaster risk reduction
Organizational outputsAccess to services, goods and resources
Policy markerGENDER EQUALITY
Humanitarian scopeNo
UN system functionCapacity development and technical assistance
Outcome Description
The overall objective of the project is to prevent terrorism/ violent extremism and hate speech in South and Southeast Asia. This project focuses on community driven leadership and economic empowerment; capacity building of governments and women’s groups; and use of social media to disseminate alternative narratives, counter hate speech and radicalization and promote peace and tolerance.
This outcome has been deactivated from the 2020 AWP as it was part of an unsuccessful resource mobilisation effort.
Resources
$0.00Planned Budget
$0.00Actual Budget
Outcome Indicator and ResultsPlan Period :
2014-2022
OUTCOME
LKA_D_4.5
[Deactivated] Women are empowered to build resilient, cohesive and peaceful communities to prevent terrorism and hate speech.
LKA_D_4.5A
LKA_D_4.5A
Country
Number of gender-responsive policies or strategies developed that address violent extremism.
2022
ResultN/A
LKA_D_4.5A
Country
2019
Baseline
2 drafted, 2 adopted2 drafted, 2 adopted
2020
Milestone
00
Result
N/AN/A
2021
Milestone
00
Result
00
2022
Target
--
Result
N/AN/A
SP_D_4.1D
SP_D_4.1D
Country
SP 5.13.4: Number of counter terrorism (CT) and countering/preventing violent extremism (C/PVE) policies and programmes that have integrated women peace and security priorities, developed and/or implemented with UN-Women’s support (Not for country reporting)
Strategic Note Outcome Progress NoteShowing data of :
2022
[Deactivated] Women are empowered to build resilient, cohesive and peaceful communities to prevent terrorism and hate speech.
N/A. This Outcome has been deactivated since 2020.
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.
