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%)
SN Outcome 4: National and sub-national responses to climate change and Disaster Risk Reduction incorporate and address the priorities and needs of all women in Cambodia.
Impact areasWomen, peace and security, humanitarian action and disaster risk reduction
Organizational outputsWomen’s voice, leadership and agencyGender statistics
Policy markerGENDER EQUALITY
Humanitarian scopeYes
UN system function-Advocacy, communications and social mobilizationCapacity development and technical assistanceDirect support and service deliveryIntegrated policy advice and thought leadershipSupport functions
Outcome Description
The outcome focuses on provision of policy advice/technical assistance to mainstream gender in policies and actions of climate change and DRR, increasing voices of women organisations in national platforms on climate change and DRR and transformative leadership for government women leaders to increase women representative and voices.
Outcome Indicator and ResultsPlan Period : 2019-2023
outcome KHM_D_4.1
B - BaselineM - MilestonesT - Target
Outcome Statement
Indicator Statement
YearBMTsReported Result
SN Outcome 4: National and sub-national responses to climate change and Disaster Risk Reduction incorporate and address the priorities and needs of all women in Cambodia.
KHM_D_4.1A
Number of climate change/DRR related sectoral policies and action plans which have enhanced responsiveness to gender and human rights.
SP_D_0.7.7
UN Women reports on this indicator in a global scope, signified by "(Desk Review)" at the end of the indicator statement (see the Our Global Results page for the global result)
Strategic Note Outcome Progress NoteShowing data of :2022
SN Outcome 4: National and sub-national responses to climate change and Disaster Risk Reduction incorporate and address the priorities and needs of all women in Cambodia.
In this reporting year, there has been positive results observed for the outcome. The priorities and needs of women in Cambodia can be better addressed in climate change (CC) and disaster risk reduction (DRR) due to the increased capacity of government and civil society gained through the development of tools, guidance and training.
Through strategic partnerships with the Ministry of Women's Affairs (MOWA) and National Committee for Disaster Management (NCDM), the government has more tools/guidelines and capacity in mainstreaming gender into CC actions and DRR including the Guidelines for Mainstreaming Gender in Inclusive Disaster Management, and the Methodological Guidelines for Data Produces and Users for Integrating Gender in Climate Change and Disaster Related Statistics in Cambodia. With the Guidelines for Mainstreaming Gender in Inclusive Disaster Management and the complementary training package, key disaster management actors can conduct gender analysis and strategically integrate gender into their day-to-day work and master plan/program. With the guideline and the complementary training package, key disaster management actors can conduct gender analysis and strategically integrate gender into their day-to-day work and master plan/program. With the Methodological Guidelines for Data Produces and Users for Integrating Gender in Climate Change and Disaster Related Statistics in Cambodia capacity development and technical assistance have resulted in a stronger gender mainstreaming into CC and DRR such as stronger draft Cambodia country profile: Gender; environment statistics in CC and DRR. MoWA’s technical team will present final draft versions to the senior management. This has been mentioned during the reflection workshop conducted in November 2022 which was presided over by a Secretary of State (SOS) in charge of gender mainstreaming and climate change. Please find the link here: UN Women has significantly contributed to the implementation of the approved Guideline for Mainstreaming Gender in Inclusive Disaster Management. This includes provision of technical and financial assistance to development of Training of Trainer Manual and package through a participatory process which involves engagement of civil society organizations that are working on CC and DRR. The support also has contributed to build trust with the Gender Mainstreaming Action Group at National Committee for Disaster Management (NCDM). UN Women has contributed to the capacity development provided to the MoWA has enabled more meaningful engagement in the use of gender statistics, particularly sex, age and diversity disaggregated data in the context of CC and DRR actions. MOWA’s technical team responsible for gender mainstreaming in CC and DRR officials are able to review the statistical yearbook to identify the gaps in statistics and lack of gender statistics in the related national statistics. It is commonly agreed that there is a need for further sex, age and disability disaggregated data in the commune data based and to focus on the human aspect in the agricultural survey which is highly beneficial to CC actions. MOWA has strategically identified the entry points and key actors to improve gender statistical recording and analysis in the Cambodia national statistical system. These include more advocacy work with technical statistics groups within the concerned sectors to discuss needed CC and DRR indicators that would also reflect on gender issues. Through strategic partnership, UN Women is able to expand connections with the Ministry of Mine and Energy and develop more internal understanding on gender work in the sector. UN Women ensures space for women living with HIV and residing in rural areas, youth, especially young women and women networks at the grassroot to bring their lived experience to be shared with the public in learning events, community dialogues and awareness raising events. Stories of struggle and resilience as well as the needs among women living with HIV were shared with local authorities to influence the commune development plan and their stories were documented and have been heard by the community for promoting better support. At the same time, the young women's groups are now equipped with gender analysis skills and tools to enable their critical analysis of gender issues happening around them and can apply these skills in the context of climate change. Members of the Women’s Champion Network supported by UN Women partners continue to use their voice in public space including CSOs workshops and the Global Platform for Disaster Risk Reduction which was held in Bali in 2022. Please find the link here: WIN DRR Leadership Awards 2021: Rising Star award - Finalists | PreventionWeb
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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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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.
