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%)
Strengthened diversified income opportunities to promote social and economic inclusion
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
Outcome statement copied verbatim from UNSDCF Impact Area 2: PROSPERITY, Outcome 2.
Resources
$50.00 KPlanned Budget
Actual Budget
$50.00 KPlanned Budget
Actual Budget and Shortfall
Expenses
Outcome Indicator and ResultsPlan Period :
2023-2025
OUTCOME
LBN_D_2.1
Strengthened diversified income opportunities to promote social and economic inclusion
LBN_D_2.1A
LBN_D_2.1A
Country
[UNSDCF Outcome indicator under PROSPERITY, Outcome 2 & ROAS MWGE Programme Indicator 1.1] Reduction of gender gap in time spent on unpaid care and domestic work by men and women from target communities and reached by the youth-led social movement.
SDG
Goal 5
2025
Result-
LBN_D_2.1A
Country
2022
Baseline
00
2023
Milestone
--
Result
n/an/a
2024
Milestone
--
Result
--
2025
Target
100100
Result
--
LBN_D_2.1B
LBN_D_2.1B
Country
Percentage of women who have reduced negative coping strategies as a result of UN Women programming.
2025
Result-
LBN_D_2.1B
Country
2022
Baseline
00
2023
Milestone
--
Result
0.480.48
2024
Milestone
--
Result
--
2025
Target
2020
Result
--
SP_D_0.4.3
SP_D_0.4.3
Country
Number of countries where multi-sectoral systems, strategies or programs are implemented to advance women’s equal access to and use of services, goods and/resources, including social protection (CO)
Complementary indicators are identified as those in the results framework
that are not repeated verbatim in the results framework of another United Nations entity, but are related or provide
different but complementary lenses or insights into the same issue, high-level result and/or area of complementary work,
such as a Sustainable Development Goal target.
Strategic Note Outcome Progress NoteShowing data of :
2023
Strengthened diversified income opportunities to promote social and economic inclusion
UN Women is on track to meet its targets to strengthening diversified and inclusive income opportunities for women throughout Lebanon by providing access to short-term cash-for-work opportunities where participant women earn income, gain skills, and acquire work experience to increase their confidence and skills required for women to access employment and entrepreneurship.
Nine hundred and sixty-six (966) women throughout Lebanon and from diverse nationalities (510 Lebanese, 306, Syrian, 130 PRL, 20 PRS and 10 other) earned income through diversified, short-term, cash-for-work opportunities at a time of unprecedented economic crisis, helping women to meet their immediate, basic needs. Women engaged in community kitchen management in various roles, menstrual pad production and sales, carpentry, and community work. Women further built their confidence as a result of these work opportunities. The women further contributed to the provision of assistance to vulnerable households and individuals through their work, distributing over 140,000 meals to over 7,000 individuals, 408,960 pads to over 6,800 women and girls, and raising the awareness on gender-based violence of 1,600 women.
Of the 966 women, 159 were women with disabilities. Seventy-nine were employed at Access Kitchen, the first purpose-designed, accessible community kitchen run by partner Lebanese Union of Persons with Physical Disabilities in Beirut. The participants engaged in various roles tailored to their capabilities, ranging from stock keeping, food preparation, to financial accounting. Women with disabilities experience significant discrimination, challenges to social and physical accessibility, and limited government assistance in Lebanon. Their participation in cash-for-work not only provided work opportunities for women with disabilities, but provided an opportunity for communities to recognize the abilities and roles that women with disabilities can play in society and the economy.
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Strategic Note (SN) Development Results and Resources Framework
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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.
