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%)
Early and post- COVID socio-economic recovery and resilience of women and girls worst- affected by the pandemic enhanced through access to Social Protection support and other finacial assistance packages.
Activity DetailsResourcesOutcome Indicators and ResultsStrategic Note Outcome Progress NoteDocuments
Outcome details
SDG alignment
Impact areasWomen’s economic empowerment
Organizational outputsNorms, laws, policies and institutionsAccess to services, goods and resources
Policy markerGENDER EQUALITY
Humanitarian scopeNo
UN system functionAdvocacy, communications and social mobilizationCapacity development and technical assistanceIntergovernmental Normative SupportSupport functions
Outcome Description
Early and post- COVID socio-economic recovery and resilience of women and girls worst- affected by the pandemic enhanced through access to Social Protection support and other finacial assistance packages.
Outcome Indicator and ResultsPlan Period :
2018-2022
OUTCOME
NGA_D_2.8
Early and post- COVID socio-economic recovery and resilience of women and girls worst- affected by the pandemic enhanced through access to Social Protection support and other finacial assistance packages.
NGA_D_2.8A
NGA_D_2.8A
Country
% of beneficiaries reporting improvement in their income security, 6 months after receiving small grants from UN Women.
2022
Result62
NGA_D_2.8A
Country
2020
Baseline
0%0%
2021
Milestone
50%50%
Result
1150011500
2022
Target
--
Result
6262
SP_D_2.1A
SP_D_2.1A
Country
SP 3.8.1: Number of legal, regulatory and/or policy frameworks aligned with international standards that create decent work for women developed and/or being implemented with support from UN-Women
2022
ResultN/A
SP_D_2.1A
Country
2020
Baseline
00
2021
Target
22
Result
00
SP_D_2.1B
SP_D_2.1B
Country
SP 3.8.2: Number of gender-responsive macroeconomic policies (including fiscal, monetary and trade) developed and/or being implemented with support from UN-Women
2022
ResultN/A
SP_D_2.1B
Country
2020
Baseline
00
2021
Target
33
Result
00
SP_D_2.1C
SP_D_2.1C
Country
SP 3.8.3: Number of legal, regulatory and/or policy frameworks in support of gender-responsive social protection systems that are developed and/or being implemented with support from UN-Women
2022
ResultN/A
SP_D_2.1C
Country
2020
Baseline
00
2021
Target
22
Result
00
SP_D_2.1D
SP_D_2.1D
Country
SP 3.8.4: Number of legal, regulatory and/or policy frameworks that address unpaid care work developed and/or being implemented with support from UN-Women
2022
ResultN/A
SP_D_2.1D
Country
2020
Baseline
00
2021
Target
22
Result
00
SP_D_2.1E
SP_D_2.1E
Country
SP 3.8.5: Number of countries with strengthened capacities to undertake gender-responsive socio-economic impact assessments in response to the COVID-19 crisis, with a focus on at-risk populations
2022
ResultN/A
SP_D_2.1E
Country
2020
Baseline
YESYES
2021
Target
YESYES
Result
FALSEFALSE
SP_D_2.1F
SP_D_2.1F
Country
SP 3.8.6: Number of countries with strengthened capacities to implement women’s empowerment policies, informed by socio-economic impact assessment, focused on at-risk populations
Women and girls worst-affected by the socio-economic impact of COVID 19 have access to small grants as income replacement through UN Women support
Planned Budget:$1.06 M
Actual Budget and Shortfall:$1.23 M
Expenses:$1.04 M
NGA_D_2.8.1A
NGA_D_2.8.1A
Country
# of beneficiaries reached with income replacement support in the form of cash transfer/small grants through UN Women support
2022
Result11500
NGA_D_2.8.1A
Country
2021
Baseline
00
2021
Milestone
1000010000
Result
1150011500
2022
Target
1000010000
Result
1150011500
SP_D_0.2.a
SP_D_0.2.a
Country
Number of partners with capacities to integrate gender equality into fiscal laws/policies/standards (CO, RO, HQ)
2022
Result1
SP_D_0.2.a
Country
0
Baseline
--
2022
Target
--
Result
11
OUTPUT
NGA_D_2.8.2
Women’s organizations and networks are empowered to participate in mobilizations, planning, programming, monitoring, debates and decision-making processes about gender-sensitive response to the socio-economic impcat of COVID 19
Planned Budget:$795.00 K
Actual Budget and Shortfall:$675.35 K
Expenses:$511.57 K
NGA_D_2.8.2A
NGA_D_2.8.2A
Country
# of women's network supported to participate in COVID-19 response planning, programing, debates, and decision-making throug UN Women support
2022
Result500
NGA_D_2.8.2A
Country
2021
Baseline
00
2021
Milestone
33
Result
4444
2022
Target
33
Result
500500
NGA_D_2.8.2B
NGA_D_2.8.2B
Country
#: Number of women reached with risk communication, social cohesion, and other messages about COVI 19 through UN Wome supported women's organizations and networks
2022
Result11500
NGA_D_2.8.2B
Country
2021
Baseline
00
2021
Milestone
100000100000
Result
232200232200
2022
Target
20002000
Result
1150011500
SP_D_0.2.a
SP_D_0.2.a
Country
Number of partners with capacities to integrate gender equality into fiscal laws/policies/standards (CO, RO, HQ)
2022
Result1
SP_D_0.2.a
Country
0
Baseline
--
2022
Target
--
Result
11
SP_D_0.2.b
SP_D_0.2.b
Country
Number of gender financing assessments conducted by government partners (CO)
2022
Result1
SP_D_0.2.b
Country
0
Baseline
--
2022
Target
--
Result
11
SP_D_0.2.d
SP_D_0.2.d
Country
Number of tools introduced that support innovative financing and accountability, including related to digital financing, for gender equality (CO)
2022
Result0
SP_D_0.2.d
Country
0
Baseline
--
2022
Target
--
Result
00
OUTPUT
NGA_D_2.8.3
Fiscal Stimulus Packages and Recovery Efforts Adopted by the Government of Nigeria in Response to the COVID-19 Health and Economic crises are gender-responsive
Planned Budget:$150.00 K
Actual Budget and Shortfall:$51.16 K
Expenses:$17.84 K
NGA_D_2.8.3A
NGA_D_2.8.3A
Country
Number of gender-responsive fiscal stimulus and recovery policies and packages developed and implemented by the Government of Nigeria with UN Women's technical and advocacy support.
2022
Result3
NGA_D_2.8.3A
Country
2021
Baseline
00
2021
Milestone
33
Result
00
2022
Target
33
Result
33
NGA_D_2.8.3B
NGA_D_2.8.3B
Country
Number of events organized by UN Women and partners to advocate for gender-sensitive fiscal stimulus and recovery packages on COVID 19 response
2022
Result5
NGA_D_2.8.3B
Country
2021
Baseline
00
2021
Milestone
44
Result
11
2022
Target
22
Result
55
SP_D_0.2.a
SP_D_0.2.a
Country
Number of partners with capacities to integrate gender equality into fiscal laws/policies/standards (CO, RO, HQ)
2022
Result1
SP_D_0.2.a
Country
0
Baseline
--
2022
Target
--
Result
11
SP_D_0.2.b
SP_D_0.2.b
Country
Number of gender financing assessments conducted by government partners (CO)
2022
Result1
SP_D_0.2.b
Country
0
Baseline
--
2022
Target
--
Result
11
SP_D_0.2.c
SP_D_0.2.c
Country
Number of national partners with capacities to apply Gender Responsive Budgeting tools in the budget cycle (CO)
2022
Result5
SP_D_0.2.c
Country
0
Baseline
--
2022
Target
--
Result
55
Strategic Note Outcome Progress NoteShowing data of :
2022
Early and post- COVID socio-economic recovery and resilience of women and girls worst- affected by the pandemic enhanced through access to Social Protection support and other finacial assistance packages.
11,500 , vulnerable women and girls who benefited from cash assistance are utilizing their incomes to cope with the socio-economic impacts of the COVID 19 pandemic, and strengthen the resilience of their households. 7,989 of the targeted beneficiaries who did not previously have bank accounts were able to open bank accounts free of charge, though the project’s collaboration with the UBA Bank. This assistance therefore enhanced financial inclusivity including access to formal financial services for the targeted project beneficiaries. Preliminary evidence suggests that many of the targeted beneficiaries are using the cash assistance to invest in productive activities, including starting /expanding micro enterprises and/or meet the social welfare needs of their families; and have helped some to start saving their incomes. Perceptions among 300 male community and religious leaders about the participation of women in community decision-making, including the local initiatives to prevent and respond to COVID 19 crisis improved in the targeted LGAs as a result of the campaigns conducted by the women-led watch groups and the the accountability plaforms established by the project. By bringing the different faith-based women civil society organizations namely the Federation of Muslim Wemen Associations in Nigeria (FOMWAN) and the Women’s Wing of the Christian Associations in Nigeria helped to improved religious synergy and inter-faith collaboration to deliver assistance to individual vulnerabkle members of the society irrespective of their religion.The women-led CSO’s conducted 50 awareness and sensitization campaigns with at least two events in each of the tarteged LGAs. In additional, UN Women in collaboration with the Federal Ministry of Women Affairs conducted media events in Abuja to sensitize journalists and other stakeholders on the achievements of the project. These activities included dissemination of messages through both the traditional (radio and TV) and social media channels/platforms. Collaboration with NASSCO to utilize the existing social register of the Government to identify the cash transfer beneficiaries helped to not only demonstrate the validity of the Register but showed potential areas to improve the accuracy of the National Social Register going forward. More than 500 male traditional and religious leaders have begun to promote actions including the development of community by-laws on gender-based violence in more than 20 communities due to advocacy activities led by the women-led grassroots community watch/accountability groups and other project stakeholders, including the Ministry of Women Affairs at the Federal level and in the targeted states, and the women civil society organization- FOMWAN, WOWICAN and the Nigeria Girl Guides Society.Information dissimination through the Women-led Communty Watch Groups were scaled up, with each of the 44 platforms reaching an average of 5300 individuals (80% females) through various grassroots networks.
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Strategic Note (SN) Development Results and Resources Framework
Intended ultimate beneficiaries, Conditions, Budget, Results, outcomes and outputs
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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.
