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Syrian Arab Republic: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2900+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

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Haiti - Humanitarian Access Severity

OCHA Haiti

200+ Downloads

Time Period of the Dataset [?]: April 30, 2023-December 12, 2024 ... More

This dataset updates: Every year

Humanitarian access constraints data compiled at national level based on workshops in the 10 Departements (admin 1). The dataset provides an estimation on the severity level for different type of actors and different types of access constraints.

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INFORM Severity Index

ACAPS

13000+ Downloads

Time Period of the Dataset [?]: January 01, 2019-April 30, 2025 ... More

This dataset updates: Every month

The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index Users can specify time period and download from: https://www.acaps.org/en/data#dataset-3

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Colombia: Cálculo de las Personas en Necesidad (PiN) y las Severidades del...

3iSolution

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: As needed

El archivo tiene los resultados del cálculo de las Personas en Necesidad (PiN) y las Severidades del clúster de Alojamientos y Asentamientos (AyA) para el año 2025 en Colombia.

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Syrian Arab Republic: JIAF Humanitarian Needs People in Need and Severity

OCHA Syria

40+ Downloads

Time Period of the Dataset [?]: April 24, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

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Ukraine Situation Protection Profiling and Monitoring - July - October 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: July 01, 2024-October 31, 2024 ... More

This dataset updates: Never

This dataset presents findings from Protection Profiling and Monitoring conducted by UNHCR and partners between July and October 2024 across Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia. The objective of this regional exercise is to strengthen evidence-based protection responses by regularly collecting and analyzing data on the profiles, protection risks, legal needs, displacement patterns, and basic needs of refugees from Ukraine. Data was gathered through household-level interviews conducted face-to-face at border crossing points, reception and transit centers, collective sites, and assistance locations in major cities. The structured questionnaire was administered by trained enumerators from UNHCR and partner organizations using digital data collection tools. Although respondents were selected to reduce bias, the sample follows a non-probability design and results should be interpreted as indicative rather than statistically representative of the refugee population.

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Ukraine Situation Protection Profiling and Monitoring - October 2023 - April 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 01, 2023-April 30, 2024 ... More

This dataset updates: Never

This dataset presents findings from Protection Profiling and Monitoring conducted by UNHCR and partners between October 2023 and April 2024 across Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia. The objective of this regional exercise is to strengthen evidence-based protection responses by regularly collecting and analyzing data on the demographics, protection risks, legal needs, displacement patterns, and basic needs of refugees from Ukraine. Data was gathered through household-level interviews conducted face-to-face at border crossing points, reception and transit centers, collective sites, and assistance locations in major cities. The structured questionnaire was administered by trained enumerators from UNHCR and partner organizations using digital data collection tools. Although respondents were selected to reduce bias, the sample follows a non-probability design and results should be interpreted as indicative rather than statistically representative of the refugee population.

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Yemen: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

8200+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Ukraine: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2900+ Downloads

Time Period of the Dataset [?]: January 01, 2021-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Colombia: Humanitarian Needs

OCHA Humanitarian Programme Cycle Tools (HPC Tools)

2200+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

CSV
XLSX

Colombia - PiN General y Severidad Intersectorial

3iSolution

60+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: As needed

Para el año 2025 la estimación de las Personas en Necesidad (PiN) General y las Severidades intersectoriales para Colombia, se desarrolló siguiendo la metodología global JIAF 2.0 (Joint Intersectoral Analysis Framework, por sus siglas en inglés). Esto se relaciona con el análisis del documento del Plan de Respuesta a Prioridades Comunitarias – PRPC- 2025.

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Colombia - PiN Clúster Seguridad Alimentaria y Nutrición

3iSolution

10+ Downloads

Time Period of the Dataset [?]: January 01, 2024-October 02, 2024 ... More

This dataset updates: As needed

Esta base contiene el resultado final del cálculo de las severidades y la Población en Necesidad (PiN) para el Clúster de Seguridad Alimentaria y Nutrición, Colombia 2025. Para más información, por favor diríjase a la nota metodológica en el siguiente enlace: https://reliefweb.int/report/colombia/pin-2025-nota-metodologica-estimacion-personas-en-necesidades-2025

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Romania - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 20, 2024-July 27, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 Socio-Economic Insights Survey (SEIS) in Romania is a comprehensive regional assessment conducted from May to July 2024, focusing on the needs of refugees in Romania, particularly those from Ukraine. This multi-sectoral survey aims to capture key data on refugees' socio-economic integration, access to national systems, and their priorities for the coming year, providing valuable insights to inform the 2025 Refugee Response Plan (RRP). The survey employs a stratified random sampling method and involves face-to-face and online interviews with refugees, covering topics such as health, education, protection, food security, and livelihoods. The collected data is anonymized and cleaned for use in policy planning and intervention development. The findings highlight gaps in services and provide crucial information on the changing trends in refugees’ needs, contributing to a more targeted and effective response to refugee challenges in Romania.

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Czechia - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 30, 2024-July 14, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 SEIS in Czechia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of the annual interagency regional process led by UNHCR, the survey supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. By addressing key areas such as protection, health, education, shelter, livelihoods, and food security, it delivers essential data to inform evidence-based planning and ensure the diverse needs of refugee groups are met. Data collection took place from May to July 2024 and followed a purposive sampling approach. While not random, the methodology was designed to reflect the geographical and gender distribution of the refugee population using Temporary Protection (TP) data from the Ministry of Interior. Enumerators worked within these parameters, using the snowball method to identify respondents who matched the criteria. The survey was a collaborative effort by UNHCR and the International Organization for Migration. Its findings will inform strategic planning and resource allocation to improve the welfare and resilience of refugees in Czechia.

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Congo - Results Monitoring Survey (RMS) - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 17, 2023-February 09, 2023 ... More

This dataset updates: Never

The 2023 Results Monitoring Survey (RMS) in the Republic of Congo aimed to monitor key impact and outcome indicators related to education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation for refugees and asylum seekers. The survey was conducted between January 17 and February 9, 2023, targeting 1,900 households across Brazzaville, Pointe-Noire, Likouala, and Cuvette. The survey achieved interviews with 1,473 households (77.53% coverage), with data collected through Computer-Assisted Personal Interviews (CAPI). The results contribute to an evidence base for UNHCR’s multi-year strategies in the country.

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Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 10, 2024-October 29, 2024 ... More

This dataset updates: Never

The 2024 Regional Socio-Economic Insights Survey (SEIS) provides critical data to inform the 2025 Regional Refugee Response Plan (RRP), supporting strategic planning and funding allocation to address regional needs. This consolidated dataset includes comprehensive information from Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Poland, Romania, and Slovakia, covering essential topics such as demographics, protection, education, socio-economic inclusion and livelihoods, health, and accommodation. By synthesizing data from these ten countries, the SEIS offers a detailed view of key areas impacting refugee and host communities, supporting evidence-based decisions for targeted interventions and resource mobilization across the region.

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Slovakia - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 21, 2024-July 27, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 Socio-Economic Insights Survey (SEIS) in Slovakia provides a comprehensive assessment of the needs and vulnerabilities of refugees from Ukraine. Conducted as part of an annual interagency regional process led by UNHCR, this assessment supports the Regional Refugee Response Plan (RRP) for the Ukraine Situation. Covering topics such as protection, health, education, shelter, livelihoods, and food security, the survey offers critical data to inform evidence-based planning and prioritization, ensuring the specific needs of different refugee groups are addressed. Data collection was conducted through face-to-face interviews from May to July 2024 with a probability-based random sample of refugee households, managed collaboratively by UNHCR and the International Organization for Migration. Findings will guide strategic interventions and resource allocation to enhance the welfare and resilience of the refugee population in Slovakia.

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South Sudan - Results Monitoring Survey (RMS) - 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: December 01, 2022-January 23, 2023 ... More

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.

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Mozambique - Results Monitoring Survey (RMS) - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: February 27, 2023-April 07, 2024 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) in Mozambique, conducted from February 27, 2023, to April 7, 2024, by CS Research and the United Nations High Commissioner for Refugees, assessed the impact in areas such as Health and Nutrition, Water Sanitation Hygiene, Protection, and Education among refugees, asylum-seekers, and IDPs. Covering regions like Cabo Delgado and Nampula, the survey employed mixed sampling methods, including phone surveys (CATI) for widespread geographical coverage, excluding Nampula City and Maratane Camp, and face-to-face interviews (CAPI) in specified areas. This approach, integrating non-probabilistic and probabilistic techniques, and stratified by gender, provided comprehensive data, crucial for UNHCR’s strategic planning and reporting in Mozambique.

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Poland - Multi-Sector Needs Assessment (MSNA) - 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: July 13, 2023-August 21, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

A multi-sectoral needs assessment was conducted in Poland between July 13, 2023 and August 25, 2023, surveying 5,645 households comprising 13,421 individuals. The assessment aimed to capture the needs of refugees in Poland, understand their level of access to basic services, how their needs are currently being met, gaps in services, and priorities for the refugee response in the coming year. Key findings will inform the 2024 Regional Refugee Response Plan for Poland, providing critical data on priorities and funding requirements to support refugees. With 5,645 households surveyed across multiple sectors, the assessment provides a robust evidence base to shape a more effective, responsive refugee program in Poland.

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Republic of Moldova - Socio-Economic Insights Survey (SEIS) - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: June 02, 2024-July 12, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2024 Socio-Economic Insights Survey (SEIS) in Moldova, conducted by UNHCR in partnership with REACH, provides essential data on the needs of refugees and third-country nationals displaced from Ukraine. Building on the 2023 Multi-Sectoral Needs Assessment (MSNA), this household-level survey collected insights on protection, food security, education, livelihoods, health, and socio-economic inclusion to inform humanitarian planning and decision-making. A total of 622 in-person interviews were conducted across Moldova (excluding the Transnistrian region) between June 3 and July 12, 2024. The survey used purposive and respondent-assisted sampling to capture household and individual-level data on living conditions, access to services, and integration challenges. This anonymized dataset supports stakeholders in addressing the needs of displaced populations and promoting integration and access to essential services in Moldova.

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Mali: JIAF Humanitarian Needs People in Need and Severity

OCHA Mali

60+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Sudan: JIAF Humanitarian Needs People in Need and Severity

OCHA Sudan

100+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Chad: JIAF Humanitarian Needs People in Need and Severity

OCHA Chad

90+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

South Sudan - Community-Based Assessment - 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 13, 2024-September 26, 2024 ... More

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.

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