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  • 500+ Downloads
    Time Period of the Dataset [?]: January 15, 2006-December 31, 2029 ... More
    Modified [?]: 19 May 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 3500+ Downloads
    Time Period of the Dataset [?]: January 13, 2020-April 13, 2025 ... More
    Modified [?]: 19 May 2025
    Dataset Added on HDX [?]: 16 January 2023
    This dataset updates: As needed
    This page provides data on conflict events affecting food insecurity in the form of the Food Insecurity and Violent Conflict (FIVC) datasets. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 500+ Downloads
    Time Period of the Dataset [?]: October 01, 2016-April 11, 2025 ... More
    Modified [?]: 19 May 2025
    Dataset Added on HDX [?]: 3 April 2024
    This dataset updates: Every month
    ASAP is an online decision support system for early warning about hotspots of agricultural production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning. The monthly hotspots data set is available below, but you can explore the hotspots on the ASAP Warning Explorer and access more contextual data on the downloads page. To learn more about the hotspots, refer to the warning classification methodology document.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More
    Modified [?]: 18 May 2025
    Dataset Added on HDX [?]: 10 March 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Security Indicators
    Food Security and Nutrition Indicators for South Sudan. Contains data from the FAOSTAT bulk data service.
  • 700+ Downloads
    Time Period of the Dataset [?]: January 01, 2008-December 31, 2024 ... More
    Modified [?]: 18 May 2025
    Dataset Added on HDX [?]: 4 May 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for South Sudan. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates
  • 2600+ Downloads
    Time Period of the Dataset [?]: January 15, 2006-May 15, 2025 ... More
    Modified [?]: 18 May 2025
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Prices
    This dataset contains Food Prices data for South Sudan, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 1900+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-March 06, 2025 ... More
    Modified [?]: 14 May 2025
    Dataset Added on HDX [?]: 19 April 2022
    This dataset updates: As needed
    The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample. The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset. For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/ View the column descriptions here. Metadata available here. Questionnaires used for data collection available here. Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.
  • Time Period of the Dataset [?]: December 01, 2022-January 23, 2023 ... More
    Modified [?]: 18 March 2025
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    The Results-Monitoring Survey (RMS) was conducted by UNHCR South Sudan in the last quarter of 2022 to serve as a pilot tool for measuring country operations' results regarding internally displaced persons (IDPs). Using computer-assisted personal interviews, around 4,634 questionnaires were carried out proportionally across eight states. The target was IDPs in camps and non-camp settings, including hard-to-reach areas. A simple random sampling method was used to allow generalizability and minimize bias. The questionnaire was tailored to the local context while drawing from the standard RMS instrument. Sample sizes were calculated for states and counties based on displacement figures and partner presence. A 95% confidence level and 5% margin of error determined the state samples. The county samples used 90% confidence and 5% margins given the need for greater precision at lower administrative levels. Total target was 5,309 households, allocated proportionally. High response rate (97%) exceeded targets in some counties. The pilot provides baseline data on results indicators to track over time. Key aspects were representative sampling, localized questionnaire, sufficient sample size, and community access enabling quality data for ongoing monitoring.
  • Time Period of the Dataset [?]: May 13, 2024-September 26, 2024 ... More
    Modified [?]: 28 February 2025
    Dataset Added on HDX [?]: 2 March 2025
    This dataset updates: Never
    The Community-Based Assessment (CBA) in South Sudan, 2024 evaluates the capacity of high-return locations in South Sudan to absorb additional populations. This assessment employed a mixed-methods approach, including quantitative household surveys, qualitative assessments, and infrastructure evaluations. Data collection was conducted between May and September 2024 through face-to-face interviews in selected payams across Northern Bahr el Ghazal, Eastern Equatoria, Central Equatoria, and Western Bahr el Ghazal. The dataset comprises anonymized household and infrastructure survey data, with stratified random sampling used to ensure representation across returnees, host communities, internally displaced persons (IDPs), and refugees. The study explores key humanitarian themes, including health, water sanitation and hygiene (WASH), education, and housing, land, and property (HLP). The collected data aims to inform operational planning, self-reliance programs, and service provision strategies for displaced and returning populations. The dataset provides valuable insights to support evidence-based decision-making and improve response strategies for communities affected by displacement in South Sudan.
  • 400+ Downloads
    Time Period of the Dataset [?]: September 20, 2022-October 08, 2024 ... More
    Modified [?]: 30 January 2025
    Dataset Added on HDX [?]: 8 December 2022
    This dataset updates: Every year
    South Sudan Inter-Sector Needs Assessment (ISNA) data includes demographic and cluster indicator data (provided by ICCG clusters). Data disaggregated by cluster indicator, by counties and by population groups (IDPs, IDP-returnees, host-communities). The ISNA processes follow the IASC guided multi-sector Need assessment approach. The ISNA process consists of qualitative and quantitative components. IOM led the quantitative data collection and REACH led the qualitative data collection (qualitative data not included in this dataset). Entire process ISNA process managed by the ISAN technical working group (TWG) consists of IOM, REACH and OCHA. OCHA provided the overall coordination and engagement with the ICCG as guided by the Humanitarian coordinator and the HCT.
  • 1400+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-July 31, 2025 ... More
    Modified [?]: 10 January 2025
    Dataset Added on HDX [?]: 9 July 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports. There is also a global dataset.
  • 20+ Downloads
    Time Period of the Dataset [?]: April 13, 2023-December 14, 2023 ... More
    Modified [?]: 1 October 2024
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    The Forced Displacement Survey (FDS) is UNHCR’s new flagship household survey programme designed to standardize, streamline, and build on the existing UNHCR survey landscape to produce high-quality and timely data on people forced to flee. The FDS is comparable across countries over time and aligned with international statistical standards. It has the purpose of providing actionable evidence to inform the government’s operational and policy-related data needs, as well as its humanitarian and development partners. As a multi-topic survey, the FDS collected household and individual level data on the socioeconomic characteristics and living conditions of targeted populations. Data was collected through face-to-face household interviews, where up to four household members aged 15 and above were interviewed: (1) the head of the household or a household member who was knowledgeable about the household; (2) a randomly selected household member who provided information about individual life experiences; (3) the caregiver of a randomly selected child under five years of age; and (4) a randomly selected woman who gave birth in the last two years. South Sudan was the first pilot country where FDS has been implemented. South Sudan hosted refugees since its independence in 2011, despite facing multiple social challenges and internal conflicts. By April 2024 South Sudan hosted 450,000 refugees, mostly from Sudan, Burundi, the Central African Republic, and other countries. The FDS in South Sudan collected data on a nationally representative sample of registered refugees and on a sample of the national population living in proximity of refugees located in the north of South Sudan. Data collection occurred between April and December 2023. The final realized sample of the FDS in South Sudan was composed of around 3,000 households, all located in rural areas. Among them, 68 per cent are refugee households and 32 per cent belong to host communities.
  • Time Period of the Dataset [?]: April 12, 2023-July 02, 2024 ... More
    Modified [?]: 30 September 2024
    Dataset Added on HDX [?]: 13 October 2024
    This dataset updates: Never
    The 2023 Results Monitoring Survey (RMS) in South Sudan, conducted between April 2023 and July 2024, aimed to assess key indicators related to mobility, disability, housing, basic needs, safety, income, and gender-based violence among refugee returnees and internally displaced persons (IDPs). The survey was carried out using Computer-Assisted Personal Interviews (CAPI) across 41 counties in 9 states of South Sudan, reaching a total of 6,266 households. This survey was conducted through a mix of simple random sampling and selections from lists provided by local authorities. Daily data reviews ensured data quality, providing critical insights to inform and guide humanitarian interventions and reporting to key stakeholders.
  • Time Period of the Dataset [?]: January 13, 2023-January 17, 2024 ... More
    Modified [?]: 23 September 2024
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    The 2023 Joint Post Distribution Monitoring dataset documents a collaborative effort between UNHCR and WFP in South Sudan. Conducted from January 13 to January 17, 2024, the JPDM exercise assessed the needs of refugees across eight settlements to improve the targeting and prioritization of both food and non-food assistance. Data was collected through face-to-face interviews from 1,295 refugee households, utilizing a stratified random sampling method. The dataset includes various data files such as anonymized household survey results and terms of reference, ensuring the data is cleaned and anonymized to protect privacy. Geographically, the data covers multiple locations, including Gorom, Jam Jang, Maban, and Yambio, encompassing both refugee and internally displaced person populations. This dataset is crucial for developing a needs-based approach to humanitarian aid in the region and is publicly accessible for further analysis and research.
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-December 31, 2024 ... More
    Modified [?]: 30 August 2024
    Dataset Added on HDX [?]: 30 August 2024
    This dataset updates: Every year
    The IGAD Regional Focus of the 2024 Global Report on Food Crises is the result of a collaboration between the Food Security Information Network (FSIN) and the Intergovernmental Authority on Development (IGAD), a regional economic community that forms one of the building blocks of the African Union. It provides a comprehensive assessment of acute food insecurity and malnutrition in the eight IGAD countries as well as trends over time, key drivers and populations of highest concern based on a rigorous methodology. It also presents available data and information on forcibly displaced populations and includes a spotlight on the conflict in Sudan and a focus on pastoralism, deep-diving into important issues for the region.
  • 10+ Downloads
    Time Period of the Dataset [?]: October 04, 2019-October 31, 2019 ... More
    Modified [?]: 3 July 2023
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. UNHCR in collaboration with its partners, coordinated a SENS survey in Maban County between November 16th and December 4th in 2019. Maban County is in Upper Nile State in the North East of the Republic of South Sudan (RoSS). The refugee caseload is composed of Sudanese fleeing from the conflict in Blue Nile State in Sudan, residing in four refugee camps; Doro, Yusuf Batil, Gendrassa and Kaya. The overall aim of the survey was to assess the nutrition situation among the refugee population and to monitor ongoing programme interventions. In each of the camps a cross- sectional survey was conducted using the UNHCR Standardised Expanded Nutrition Survey (SENS) version 2, 2013 guidelines http://sens.unhcr.org/ and the Standardised Monitoring and Assessments of Relief and Transitions (SMART) guidelines https://smartmethodology.org/ . Systematic random sampling was used to identify the survey respondents. Three population groups; children 6-59 months, infants 0-5 months and women of reproductive age 15-49 years were included in the survey. Household level indicators on food security were measured in households whether they included the target population groups or not. A total of six survey teams composed of four members each (one team leader, one haemoglobin measurer, one anthropometric measurer and one anthropometric/haemoglobin measurement assistant carried out data collection in Doro camp. Data collection in the rest of the three camps (Gendrassa, Kaya and Yusuf Batil) was carried out by ten teams of four members. Two standardised trainings lasting five and four days respectively were conducted for Doro and the rest of the camps. The training included a standardisation and pilot test. The survey teams were supported by a team of 5 supervisors and 2 coordinators who roved between the teams during the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software for all the modules was used for data collection. Data validation was carried out daily by the survey coordinator/supervisors which allowed for daily feedback to the survey teams. Data analysis is currently on-going using ENA for SMART July 9th, 2015 version for anthropometric indices and Epi info version 7.2.3.1 for all other data.
  • 1700+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-October 31, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 13 May 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • 20+ Downloads
    Time Period of the Dataset [?]: September 16, 2019-September 20, 2019 ... More
    Modified [?]: 17 January 2022
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. Gorom Refugee camp is located 24 km from Juba city. It has an estimated refugee population of 23471 who are mainly of Ethiopian nationality. The Anyuak refugees from Ethiopia have been in Gorom settlement since 2011. UNHCR and ACROSS carried out the nutrition survey in Gorom refugee camp from 16 to 20 September 2019. The overall aim of this survey was to assess the general nutrition and health status of refugee population and formulate workable recommendations for appropriate nutritional and public health interventions. UNHCR population figures from ProGres were used to determine the total population and that of children 6-59 months for survey planning purposes. At the end of August 2019, the Gorom refugee population was 2347 individuals. 395 (16.8%) of these were children under five years. An exhaustive survey was conducted in relation to children as the total population size of Gorom camp was below 2,500 people rendering sampling unnecessary following UNHCR SENS guideline. All children aged 6-59 months in the camp were surveyed. A total of six survey teams composed of four members each (one team leader, one haemoglobin measurer, one anthropometric measurer/translator and one anthropometric/haemoglobin measurement assistant were included in each survey. A standardized training lasting five days, which included a standardization test was provided. Data collection lasted five days. The survey teams were supported by a team of 2 supervisors and 1 coordinator who roved between the teams duration the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software was used for data collection for all the modules. Data validation was carried out daily by the survey coordinator, which allowed for daily feedback to the survey teams. Data analysis was carried out using ENA for SMART July 9th, 2015 version for anthropometric indices and Epi info version 7 for all the other data.
  • Time Period of the Dataset [?]: October 07, 2019-October 10, 2019 ... More
    Modified [?]: 17 January 2022
    Dataset Added on HDX [?]: 30 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. UNHCR and WVI carried out a nutrition survey in Makpandu from 7 to 10 October 2019. Makpandu refugee settlement has an estimated refugee population of 50382 who are mainly from DRC and CAR, and a few from Sudan and Eritrea. The overall aim of this survey was to assess the general nutrition and health status of refugee population and formulate workable recommendations for appropriate nutritional and public health interventions. The survey was based on the UNHCR Standardized Expanded Nutrition Survey (SENS) guidelines for refugee populations (version 2, 2013) http://sens.unhcr.org/. Four SENS modules including i. anthropometric and health, ii. Anaemia, iii. IYCF, and iv. Food Security were carried out. 2019 was the first-time modules ii, iii and iv were carried out thus the data from these modules will be used as the baseline. A total of six survey teams composed of four members each (one team leader, one haemoglobin measurer, one anthropometric measurer/translator and one anthropometric/haemoglobin measurement assistant) were included in each survey. A standardised training lasting four days was provided followed which included a standardisation test. Data collection lasted four days. The survey teams were supported by a team of 2 supervisors and 2 coordinators who roved between the teams during the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software for all the modules was used for data collection. Data validation was carried out on a daily by the survey coordinator which allowed for daily feedback to the survey teams
  • 10+ Downloads
    Time Period of the Dataset [?]: October 21, 2019-October 31, 2019 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. UNHCR in collaboration with AHA, IRC and WFP carried out the nutrition survey in Pamir and Ajoung Thok refugee camps from 21 to 31 October 2019. Pamir and Ajoung Thok are the official refugee camps in Pariang County, Unity State. No nutrition survey was carried out in Yida as comprehensive services were not provided in 2019 considering its exit strategy. Refugees from Yida continue to be relocated to Pamir and Ajoung Thok refugee camps. The overall aim of the survey was to assess the nutrition situation among the refugee population and to monitor ongoing programme interventions. In each of the camps a cross- sectional survey was conducted using the UNHCR Standardised Expanded Nutrition Survey (SENS) version 2, 2013 guidelines (http://sens.unhcr.org/) and the Standardised Monitoring and Assessments of Relief and Transitions (SMART) guidelines (https://smartmethodology.org/). Systematic random sampling was used to identify the survey respondents. The surveys had a total of 4 modules consisting of 3 individual level and 1 household level questionnaires following UNHCR SENS guidelines version 2, 2013. The modules included: 1. Anthropometry and health targeting all children aged 6 to 59 months in all the sampled households; 2. Anaemia targeting all children aged 6 to 59 months in all the sampled households and all non-pregnant women aged 15 to 49 years in every other sampled household, 3. Infant and Young Child Feeding (IYCF) targeting all children aged 0 to 23 months in all the sampled households; 4. Food security targeting every other sampled household. The Water, Sanitation, and Hygiene (WASH) and mosquito net coverage modules were not carried out. This is because there is a WASH monitoring system in place and WASH Knowledge Attitude and Practices (KAP) assessment was conducted within the same month as the nutrition survey. Information on mosquito net coverage was carried out within the year in Pamir and Ajoung Thok in a separate partner assessment. The Emergency Nutrition Assessment (ENA) software version July 9th, 2015 was used to calculate the sample sizes of children and households for participating in the survey. A total of six survey teams composed of four members each (one team leader, one hemoglobin measurer, one anthropometric measurer/translator and one hemoglobin/anthropometric measurement assistant) were included in each survey. A standardized training lasting five days, which included a standardization test was provided. Data collection lasted eight days from 21-31 October with a two days break on the 26 and 27 October 2019. The survey teams were supported by a team of 5 supervisors and 3 coordinators who roved between the teams during the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software was used for data collection for the four modules of SENS. Data validation was carried out daily by the survey coordinator and supervisors. This facilitated daily feedback to the survey teams. Data analysis used ENA for SMART July 9th, 2015 version for anthropometricindices and Epi info version 7 for the rest of the indicators.
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 17 October 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 9 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/