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%)
Outcome Indicator and ResultsPlan Period :
2018-2022
OUTCOME
MAR_D_1.4
Improved use of gender statistics by different players to inform advocacy, research, policies and programmes
MAR_D_1.4A
MAR_D_1.4A
Country
Number of national reports on (a) the implementation of the SDGs from a gender perspective developed with the support of UN Women (SP indicator 6.2)
2021
Result0
MAR_D_1.4A
Country
2018
Baseline
11
2019
Milestone
11
Result
00
2020
Milestone
22
Result
00
2021
Milestone
--
Result
00
2022
Target
22
Result
--
MAR_D_1.4B
MAR_D_1.4B
Country
Number of data users with strengthened capacities in the collection, analysis, dissemination and use of gender statistics, including in improving Tier II et Tier III SDGs indicators, with UN Women’s support.
2021
Result0
MAR_D_1.4B
Country
2018
Baseline
00
2019
Milestone
00
Result
00
2020
Milestone
2020
Result
100100
2021
Milestone
--
Result
00
2022
Target
2020
Result
--
SP_D_0.6.2
SP_D_0.6.2
Country
Number of national plans and strategies that integrate gender statistics as an objective or strategy (CO, RO, HQ)
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.
Complementary
UNICEF
2021
ResultN/A
SP_D_0.6.2
Country
0
Baseline
--
2022
Target
--
Result
--
SP_D_6.2A
SP_D_6.2A
Country
SP 1.2.1: Number of thematic briefings and dialogues convened by UN-Women at the global level in preparation for intergovernmental processes (Not for country reporting)
2021
Result-
SP_D_6.2A
Country
0
Baseline
--
2018
Milestone
--
Result
--
2019
Milestone
--
Result
--
2020
Milestone
--
Result
--
2021
Target
--
Result
--
SP_D_6.2B
SP_D_6.2B
Country
SP 1.2.2: Number of dialogues convened and platforms created by UN-Women for non-governmental organizations to contribute to global policy discussions
Accessibility and dissemination of gender statistics to NSS and data users is Increased
Planned Budget:$527.32 K
Actual Budget and Shortfall:$129.88 K
Expenses:$96.62 K
MAR_D_1.4.3A
MAR_D_1.4.3A
Country
Development and dissemination of an analytical methodology to enhance the various stakeholders analytical skills
2021
ResultN/A
MAR_D_1.4.3A
Country
2017
Baseline
nono
2018
Milestone
NoNo
Result
FALSEFALSE
2020
Target
yesyes
Result
--
MAR_D_1.4.3B
MAR_D_1.4.3B
Country
A user-friendly online platform for key gender statistics is established by HCP (NSO) with UNW’s support
2021
ResultTRUE
MAR_D_1.4.3B
Country
2018
Baseline
NoNo
2019
Milestone
NoNo
Result
FALSEFALSE
2020
Milestone
NoNo
Result
TRUETRUE
2021
Milestone
Yes Yes
Result
TRUETRUE
2022
Target
YESYES
Result
--
MAR_D_1.4.3C
MAR_D_1.4.3C
Country
Number of produced infographics and extension documents
2021
Result7
MAR_D_1.4.3C
Country
2018
Baseline
00
2019
Milestone
00
Result
00
2020
Milestone
33
Result
33
2021
Milestone
33
Result
77
2022
Target
33
Result
--
MAR_D_1.4.3D
MAR_D_1.4.3D
Country
Number of communication events around gender statistics
2021
Result-
MAR_D_1.4.3D
Country
2020
Baseline
11
2021
Milestone
00
Result
--
2022
Milestone
11
Result
--
2023
Milestone
22
Result
--
2024
Target
22
Result
--
SP_D_0.6.d
SP_D_0.6.d
Country
Number of platforms/web-based databases for dissemination of multi-level disaggregated gender statistics, sex-disaggregated data and knowledge developed (CO)
2021
ResultN/A
SP_D_0.6.d
Country
0
Baseline
--
2022
Target
--
Result
--
OUTPUT
MAR_D_1.4.4
The institutionalization of user-producer dialogues to increase accessibility, quality and demand for gender statistics is initiated /enhanced
Planned Budget:$144.00 K
Actual Budget and Shortfall:$19.21 K
Expenses:$23.77 K
MAR_D_1.4.4A
MAR_D_1.4.4A
Country
Number of meetings to facilitate collaboration between users and producers with the support of UN Women
2021
Result0
MAR_D_1.4.4A
Country
2018
Baseline
00
2019
Milestone
11
Result
55
2020
Milestone
22
Result
22
2021
Milestone
22
Result
00
2022
Target
22
Result
--
SP_D_0.6.e
SP_D_0.6.e
Country
Number of countries with institutionalized user-producer dialogues to increase accessibility, quality and demand for multi-level disaggregated gender statistics, sex-disaggregated data and knowledge (CO)
2021
ResultN/A
SP_D_0.6.e
Country
0
Baseline
--
2022
Target
--
Result
--
OUTPUT
MAR_D_1.4.5
Capacity of civil society, government and other actors to use and analyse gender statistics is strengthened
Planned Budget:$223.15 K
Actual Budget and Shortfall:$191.61 K
Expenses:$191.57 K
MAR_D_1.4.5A
MAR_D_1.4.5A
Country
Number of knowledge products (policy research, policy briefs, leaflets on gender indicators, etc.) developed and published.
2021
Result3
MAR_D_1.4.5A
Country
2018
Baseline
00
2019
Milestone
00
Result
00
2020
Milestone
33
Result
33
2021
Target
33
Result
33
MAR_D_1.4.5B
MAR_D_1.4.5B
Country
Number of trainings on use of gender statistics for data users, including civil society organizations
2021
Result0
MAR_D_1.4.5B
Country
2018
Baseline
00
2019
Milestone
00
Result
00
2020
Milestone
22
Result
00
2021
Target
22
Result
00
Strategic Note Outcome Progress NoteShowing data of :
2021
Improved use of gender statistics by different players to inform advocacy, research, policies and programmes
Substantial progress was made towards the achievement of outcome 1.4 in 2020.UN Women supported the High Commission for Planning (HCP) in developing a user-friendly online platform to display key gender statistics related to the National Employment survey (ENE) in both French and Arabic. The ergonomic platform includes a homepage, a glossary, a simulation enabling the user to visualize key statistics depending on socio-demographics features, and 6 thematic pages ( (i) activity, (ii) employment, (iii) underemployment, (iv) unemployment, (v) gender, (vi) NEETs) each comprising (i) a dynamic diagram and interactive map displaying key statistics, (ii) an animated video displaying main concepts related to the theme, (iii), a video displaying key statistics on the subject, and (iv) a quiz questioning the users on the subject) The online platform will be officially launched the 8th march 2022.This platform will pave the way for more user-friendly dissemination actions and as a matter of fact, UN Women has already started supporting the development on another online platform dedicated to gender statistics to ensure a greater coverage and dissemination of strategic gender statistics . An animated video explaining gender statistics and how critical they are, has also been developed in 2021 and will be launched on the gender platform in Q2 2022 In addition, UN Women provided support to the HCP in disseminating key gender statistics on violence against women and on the gendered impact of COVID-19 in a user-friendly and interactive manner, notably through the development animated videos in Arabic and French.The animated videos displaying the main statistics from the National Survey on Violence Against Women have been shared in the HCP and UN Women social platforms during the 16 days of activism against VAW campaign alongside infographics . Links towards HCP publications :Link Facebook on VAW video part 2 in arabic : https://fb.watch/aDIjYsafR_/ Link Facebook infographics : https://www.facebook.com/HCPMaroc/posts/4541375702624506Link Twitter infographics : https://twitter.com/hcpmaroc/status/1468949469689528325?cxt=HHwWioC-3dDw4OIoAAAA Links towards UN Women publications : Link Facebook infographics : https://www.facebook.com/onufemmesmaroc/posts/888822328494428 Link Twitter infographics : https://twitter.com/ONUFemmesMaroc/status/1467501514407174145?cxt=HHwWgoCzmcW2zt0oAAAALinks vidéos on the ROAS Youtube channel : Violence against women and girls - Part 1 ( French) : https://www.youtube.com/watch?v=LbEFUc4NeLwViolence against women and girls - part 2 (French) : https://www.youtube.com/watch?v=LlaXxATisrUViolence against women - Part 1 (Arabic) :
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Strategic Note (SN) Development Results and Resources Framework
Intended ultimate beneficiaries, Conditions, Budget, Results, outcomes and outputs
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.
