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%)
The national government and local entities strengthen their capacities to accelerate the 2030 Agenda and the SDGs with the support of the UN Women, strengthening the production, analysis and use of gender statistics (UNSDCF 3.1)
Activity DetailsResourcesOutcome Indicators and ResultsStrategic Note Outcome Progress NoteDocuments
Outcome details
SDG alignment
Impact areasGovernance and participation in public life
Organizational outputsGender statistics
Policy markerGENDER EQUALITY
Humanitarian scopeNo
UN system functionComprehensive and disaggregated data (discontinued)
Outcome Indicator and ResultsPlan Period :
2022-2024
OUTCOME
COL_D_3.1
The national government and local entities strengthen their capacities to accelerate the 2030 Agenda and the SDGs with the support of the UN Women, strengthening the production, analysis and use of gender statistics (UNSDCF 3.1)
COL_D_3.1A
COL_D_3.1A
Country
Number of plans and strategies that integrate gender statistics as an objective, developed or implemented with UN-Women’s support
2023
Result2
COL_D_3.1A
Country
2021
Baseline
33
2022
Milestone
11
Result
11
2023
Milestone
22
Result
22
2024
Target
33
Result
--
COL_D_3.1B
COL_D_3.1B
Country
Percentage of gender-specific Sustainable Development Goals (SDGs) indicators with available data
2023
Result50
COL_D_3.1B
Country
2021
Baseline
5252
2022
Milestone
55%55%
Result
5353
2023
Milestone
55%55%
Result
5050
2024
Target
6060
Result
--
COL_D_3.1C
COL_D_3.1C
Country
Evidence on use of gender statistics, analysis, and policy relevant research is documented
2023
ResultTRUE
COL_D_3.1C
Country
2021
Baseline
YesYes
2022
Milestone
YESYES
Result
TRUETRUE
2023
Milestone
YESYES
Result
TRUETRUE
2024
Target
YesYes
Result
--
COL_D_3.1D
COL_D_3.1D
Country
Number of policies formulated with UN Women’s support based on data and evidence.
2023
Result2
COL_D_3.1D
Country
2021
Baseline
11
2022
Milestone
11
Result
22
2023
Milestone
11
Result
22
2024
Target
11
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.
Strategic Note Outcome Progress NoteShowing data of :
2023
The national government and local entities strengthen their capacities to accelerate the 2030 Agenda and the SDGs with the support of the UN Women, strengthening the production, analysis and use of gender statistics (UNSDCF 3.1)
In 2023, UN Women Colombia made significant progress on Outcome 3.1 (on track). In alliance with the Geographic Institute Agustín Codazzi (IGAC ), UN Women began the process to analyze the results of initiatives to produce recommendations for the mainstreaming of the gender approach in the Multipurpose Cadaster, the Cadaster Public Policy and the Integral Rural Reform through the use of qualitative and quantitative methodologies. The qualitative data was gathered through a series of in-depth interviews with participants of the key cadaster operations, which were facilitated by the German Cooperation Agency (GIZ). The quantitative data was obtained from a pilot developed during 2022 in the department of Boyacá, which was stored in the LADM-COL Model. A verification was carried out on the comprehensiveness and quality of the sex variable, identifying indicators to evaluate the quality of the information from the Multipurpose Cadaster. The results were compared with the applicable standards for the Multipurpose Cadaster, highlighting the strengths and improvement areas of the operations. Currently, UN Women has supported the analysis to provide a detailed view on the characteristics of the persons interested in the properties, segregated by sex and landownership, occupation, or possession. This information is vital for the decision-making process regarding the implementation of the Rural Reform.
Through the co-creation of a pedagogic tool, UN Women engaged in capacity-building activities for the enhancement of the knowledge on the gender approach of the public-servers of the IGAC . The learning material includes six units that touch upon cross-cutting issues for the generation and diffusion of the Multipurpose Cadaster, been an articulated effort with the Intercultural Schools for Multipurpose Cadaster and the Regional Encounters with Rural Women developed by the IGAC. The articulation with these instances will allow for the knowledge transfer to national cadaster managers, achieving the understanding of the gender approach is vital to address the challenges that women face regarding their access to ownership and tenure of the land.
Finally, UN Women also participated in the Data Festival of the Global Partnership for Sustainable Development Data held in Punta del Este (Uruguay) to position its work regarding disability-inclusive data. This, by socializing the results of a Rapid Assessment produced during the Inception Phase of the Disability project financed by the UNPRPD.
Documents
Title
Categories
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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.
