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_1.3
Strengthened production of gender statistics to enable the monitoring of national policies and reporting commitments under the SDGs
MAR_D_1.3A
MAR_D_1.3A
Country
Percentage of national minimum core set of gender indicators (BMSGI) produced and published in the previous 5 years
2022
Result0
MAR_D_1.3A
Country
2018
Baseline
TBDTBD
2019
Milestone
TBDTBD
Result
00
2020
Milestone
TBDTBD
Result
00
2021
Milestone
--
Result
00
2022
Target
TBDTBD
Result
00
MAR_D_1.3B
MAR_D_1.3B
Country
Number of data producers 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.
2022
Result18
MAR_D_1.3B
Country
2018
Baseline
00
2019
Milestone
11
Result
00
2020
Milestone
2020
Result
2424
2021
Milestone
--
Result
00
2022
Target
2020
Result
1818
SP_D_0.2.3
SP_D_0.2.3
Country
Percentage of national budget allocated to gender equality and women’s empowerment out of total budget (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.
Complementary
UNICEF
2022
Result0
SP_D_0.2.3
Country
Baseline
--
2022
Target
--
Result
00
SP_D_6.3A
SP_D_6.3A
Country
SP 1.3.1: Number of intergovernmental processes where UN-Women has provided substantive inputs to strengthen gender perspectives (Not for country reporting)
Capacity of the NSS is strengthened to produce the gender-related Tier I and II indicators to address national data gaps
Planned Budget:$1.39 M
Actual Budget and Shortfall:$496.94 K
Expenses:$539.02 K
MAR_D_1.3.1A
MAR_D_1.3.1A
Country
Number of quality based tools used to produce the gender related Tier I/ II SDGs indicators
2022
ResultFalse
MAR_D_1.3.1A
Country
2017
Baseline
11
2018
Milestone
22
Result
11
2019
Milestone
YesYes
Result
TrueTrue
2020
Milestone
YesYes
Result
TrueTrue
2021
Milestone
NoNo
Result
TrueTrue
2022
Target
YesYes
Result
FalseFalse
MAR_D_1.3.1B
MAR_D_1.3.1B
Country
Estimates of the cost of violence against women are produced by the HCP with UNW’s support
2022
ResultN/A
MAR_D_1.3.1B
Country
2018
Baseline
NoNo
2019
Milestone
NoNo
Result
FalseFalse
2020
Milestone
YesYes
Result
TrueTrue
2021
Target
--
Result
TrueTrue
MAR_D_1.3.1C
MAR_D_1.3.1C
Country
Number of trainings/capacity building workshops targeting data producers facilitated in SDGs monitoring, with a focus on SDG5.
2022
Result0
MAR_D_1.3.1C
Country
2018
Baseline
00
2019
Milestone
00
Result
00
2020
Milestone
33
Result
00
2021
Milestone
33
Result
00
2022
Target
1515
Result
00
MAR_D_1.3.1D
MAR_D_1.3.1D
Country
SDG gender-related Tier I/II indicators are produced by reprocessing existing data (including all relevant levels of disaggregation).
2022
ResultFalse
MAR_D_1.3.1D
Country
2018
Baseline
NoNo
2019
Milestone
NoNo
Result
FalseFalse
2020
Milestone
YesYes
Result
FalseFalse
2021
Milestone
YesYes
Result
FalseFalse
2022
Milestone
yesyes
Result
FalseFalse
2023
Target
YesYes
Result
--
MAR_D_1.3.1E
MAR_D_1.3.1E
Country
Number of expertise mobilized to support the production and strengthening of gender indicators
2022
Result2
MAR_D_1.3.1E
Country
2020
Baseline
00
2021
Milestone
22
Result
--
2022
Target
22
Result
22
SP_D_0.6.b
SP_D_0.6.b
Country
Number of data producers and users with strengthened capacities in the collection, analysis, dissemination and use of gender statistics (CO)
2022
Result18
SP_D_0.6.b
Country
Baseline
--
2022
Target
--
Result
1818
SP_D_0.6.c
SP_D_0.6.c
Country
Number of gender statistics and sex-disaggregated data collection initiatives, including in emerging areas conducted or analyzed (CO)
2022
Result0
SP_D_0.6.c
Country
Baseline
--
2022
Target
--
Result
00
Strategic Note Outcome Progress NoteShowing data of :
2022
Strengthened production of gender statistics to enable the monitoring of national policies and reporting commitments under the SDGs
Significant progress was made towards the achievement of outcome 1.3 in 2022. Specifically, the High Commission for Planning has greater capacity to produce gender statistics, and policymakers and advocates for gender data have access to studies and data collection techniques which both provide current gender statistics and inform future gender statistics production. This strengthens stakeholder capacity to monitor national policies and reporting commitments under the SDGs. The production of gender statistics improved as a result of several key changes (i) the High Commission for Planning (HCP) data producers a increased their capacities and gender statistics knowledge and (ii) public policymakers and advocates accessed innovative studies and analysis which included gender-sensitive, evidence-based data to inform efforts to reduce persistent gender gaps, particularly in the area of women's economic empowerment. In 2022, UNW Morocco CO significantly contributed to these results by providing capacity building and technical support. For instance, the CO organized the first workshop of a series capacity building trainings aiming at reinforcing the gender knowledge and analytical competencies of data producers.
Furthermore, the HCP developed a satellite account on unpaid household activities with UN Women support. This groundbreaking data collection in Morocco and the MENA region quantified and valued the unpaid work performed by Moroccan households and highlighted women's participation in activities not covered by national accounts. Gender-sensitive data presented in this satellite account will enable the monitoring of public policies and will be used as evidence to initiate advocacy actions to promote women's economic empowerment and inclusion.
The HCP also conducted an analysis of the dynamics and evolution of social norms and relationships between women and men within Moroccan households with UN Women technical support. This innovative analysis measured the division of household chores while identifying (i) the evolution and constraints that affect the division of time spent on domestic work vs. time spent at work, and (iii) issues that need to be addressed to improve women’s economic inclusion.
Moreover, The HCP conducted a study aiming at estimating the economic and social opportunity costs of rural women's economic empowerment and producing Gender-relevant SDG indicators. UN Women supported this study, expected to be completed by Q2 of 2023.
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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.
