Elderly Humanitarian Datasets | Find Crisis Data

World Bank Indicators of Interest to the COVID-19 Outbreak

7400+ Downloads

Time Period of the Dataset [?]: January 01, 1960-December 31, 2019 ... More

This dataset updates: As needed

World Bank Indicators of Interest to the COVID-19 Outbreak. This link is to a collection in the World Bank data catalog that contains datasets that may be useful for analysis, response or modelling.

XLSX

Mozambique: Survey for Inclusive Rapid Assessment (SIRA)

Light for the World

10+ Downloads

Time Period of the Dataset [?]: May 01, 2024-May 01, 2024 ... More

This dataset updates: As needed

SIRA Dataset for disability and older age - Cabo Delgado, Mozambique Background The Survey for Inclusive Rapid Assessment (SIRA) Dataset for disability and older age was collected in May 2024 in Pemba (urban) and Metuge (rural) localities of Cabo Delgado, Mozambique, as part of the Data that Matters project funded by Elrha. Stratified clustered random sampling was used in this survey, the aim of which is to assess the barriers and enablers people face in accessing humanitarian assistance, in particular persons with disabilities and older persons. The Data The dataset consists of: * SIRA Dataset #1. Household-level data: locality, household size, displacement status, registration * SIRA Dataset #2. Individual-level data: sex, age, education, health, employment * SIRA Dataset #3. Individual-level data: Washington Group (WG) questions taken from short (WG_SS), extended (WG-ES) of questions and child functioning modules (0-4 and 5-17 years). Questions include functioning domains associated with mental health. * SIRA Dataset #4. Individual-level data: barriers in accessing humanitarian assistance for i) distributions, ii) services, iii) livelihood opportunities, iv) sexual, maternal and reproductive health, v) safety and security. The datasets can be merged via the respondent identifier "indID", with "hhID" allowing to group individuals linked to a common household.

XLSX

Philippines - Results Monitoring Survey 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: December 19, 2023-February 12, 2024 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR. In the Philippines, respondents included forcibly displaced people, stateless people and those at risk of statelessness. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The questionnaire was adapted to the Philippines context and programme objectives by including, e.g. addtional questions on access to protection services, information and community leadership structures. A mixed methodology of remote and in-person interview was applied to allow for inclusion of respondents in areas not accessible to data collectors, e.g. Visayas and Mindanao. The data includes indicators collected at both the households and individual (household-member) level. The survey covered 640 household amounting to 2291 individuals.

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India - Results Monitoring Survey 2024

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: July 18, 2024-August 19, 2024 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR. In India, respondents included the refugees and asylum seekers registered with UNHCR. The survey did not cover the refugees registered with the government and the people in refugee like situations. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The questionnaire was adapted to the India context and programme objectives by including additional modules from the Health Access and Utilization Survey. A mixed methodology of remote and in-person interview was applied to allow for inclusion of respondents in areas not accessible to data collectors. Delhi, Hyderabad and Mewat were visited physically. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 558 households amounting to 1932 individuals.

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Papua New Guinea - Results Monitoring Survey 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 19, 2023-November 14, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey conducted with people directly or indirectly assisted by UNHCR. In Papua New Guinea, West Papuan refugees as well naturalized and non-naturalized West Papuans households were surveyed in two major locations, these being Iowara in Western Province and Port Moresby in the National Capital District. The Survey was undertaken jointly with the Immigration and Citizenship Authority from the Papua New Guinean the government, the objective of the survey was to assess indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation and further evaluate food insecurity in Iowara. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. Questions from the RMS standard survey were adapted to the context and incorporated into a government survey and an FAO survey for the capital and Western Province, respectively. The data collection focused on topics such as safety, access to identity documents, and income and employment. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 325 household containing 1894 individuals.

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Afghanistan - Spatial Profiling of Herat and Kandahar 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: August 23, 2023-December 28, 2023 ... More

This dataset updates: Never

This dataset is a product of the “Spatial Profiling” initiative, a part of the Community-based Protection and Solutions Programme Response (Co-PROSPER). The project aimed to create an enabling protection environment in Kandahar and Herat cities through spatial profiling, which involved mapping city resources and services, UNHCR’s Persons we Serve (PwS) settlement areas, and analyzing the collected data for evidence-based humanitarian response planning. Funded by UNHCR, UN-HABITAT conducted spatial profiling of targeted locations in these cities, including Internally Displaced Persons (IDP) and returnees’ camps/settlements. The project also developed new strategic responses through settlement plans for these locations, recommending strategies like provision of basic services such as water, sanitation, access roads, drainage and flood mitigation measures, and shelter. The spatial profiling focused on mapping city resources and services, settlement areas including Land Allocation Scheme (LAS) sites, spontaneous settlements of returnees and IDPs, and private housing schemes. The data collected through the profiling was analyzed for evidence-based programming. This dataset is intended to facilitate the development of new settlement plans for selected settlements in cities, aiming to upgrade the settlements of IDPs in target areas and provide durable solutions for the inhabitants.

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Myanmar - Results Monitoring Survey 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: April 07, 2023-May 29, 2023 ... More

This dataset updates: Never

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR. In Myanmar, respondents included internally displaced persons, returnees, stateless and host community. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The questionnaire was adapted to the Myanmar context and programme objectives by including, e.g. the IDP module. Questions related to Accoutability to Affected Populations (AAP) and service provision were added. A mixed methodology of remote and in-person interview was applied to allow for inclusion of respondents in areas not accessible to data collectors, e.g. rakhine state. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 4444 household amounting to 19009 individuals.

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Tajikistan - Socio-Economic Survey 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 17, 2022-December 13, 2022 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post Distribution Monitoring of Non-Food Items

Representative survey of Afghan refugee households residing in Tajikistan was conducted in October – December 2022 with the objective to better understand the profile, aspirations and needs of Afghan refugees residing in Tajikistan, and to identify the current and future needs for support of refugees, in particular with respect to social assistance and labor programs. 1985 Afghan refugee and asylum seeker households registered with UNHCR were interviewed in Districts of Republican Subordination (DRS), Sughd oblast, Khatlon oblast, Dushanbe. Questionnaire covered such data as Household and individual profile, Legal status, Employment and labor market aspirations, Migration history and future migration intention, Social networks, Housing, utilities & health, Trust, social cohesion and mental health, Gender: household decisions and social norms. The qualitative study was aimed to assess barriers and enablers of socio-economic integration of Afghan refugees in Tajikistan. The objectives of the assessment were to explore socio-economic background, human and social capital of refugees and their family members, immediate and long-term needs of refugees and host communities that could facilitate socio-economic integration; determine refugees’ and host communities’ expectations and concerns and propose feasible solutions to address or mediate convenes through public policy programs and projects; reveal potential risks for refugees and host communities and barriers to socio- economic integration of refugees in Tajikistan. 250 participants were interviewed in December 2021 - January 2022 via Semi-structured and interviews and Focus Group Discussions (FGD).

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Afghanistan - Post-Distribution Monitoring of Emergency Shelter and Non-Food...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: June 01, 2022-June 13, 2022 ... More

This dataset updates: Never

According to the Afghanistan Humanitarian Needs and Planned Response 2023, 28.3 million people are in need of humanitarian assistance and 9.7 million are in need of Emergency Shelter and Non-Food Items (ES/NFI) assistance. A nation-wide post-distribution monitoring (PDM) was conducted to provide an independent evaluation of the ES/NFI assistance delivered by partners. The target population included households who received one of the following four types of assistance between August and November 2022: cash for shelter repair & upgrade, cash for rent, inkind shelter repair & upgrade, and in-kind NFI support. This assessment was conducted by phone between 11-22 December and reached 735 respondent. The survey found that 95% of all beneficiary households reported being overall satisfied (38%) or very satisfied (57%) with the assistance delivered. Cash was the preferred modality for 95% of beneficiary households and 75% of beneficiary households reported that the condition of their shelter had improved largely (41%) or moderately (34%) as a result of the assistance.

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Pakistan - 2023 HBL Cash Distribution Monitoring Assessment - 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: February 13, 2023-March 09, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention

UNHCR carried out a one-time cash distribution to POR-card holders in partnership with Habib Bank Limited (HBL). The aim of this survey was to collect information on the experience of POR-card holders who have collected assistance or those who are yet to collect assistance in order to improve the cash distribution process. 2512 households were surveyed across 27 districts. Data collection took place in February and March of 2023.

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Pakistan - End User Survey of Non-Food Items - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: April 17, 2023-May 11, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post Distribution Monitoring of Non-Food Items

Division of Emergency, Security, and Supply (DESS) set up a sustainable product development team to re-design the UNHCR relief items and their packaging to include recycled and renewable content to reduce the associated GHG emissions by 20% by 2025. UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. To assess the re-design and collect feedback on the green core-relief items, the end-user survey or PDM was implemented in Quetta and Peshwar. 741 households were surveyed. Data was collected in April and May 2023.

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Republic of Korea - Results Monitoring Survey 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: September 12, 2022-January 11, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey

The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. Additionally, in the Republic of Korea the survey covered rejected Asylum-Seekers. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The questionnaire was adapted to the Korean context and programme objectives by removing, e.g. questions related to camp settings. Questions related to the rejected asylum seekers in need of protection and family members abroad were added. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 424 household amounting to 950 individuals.

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Pitcairn Islands: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

600+ Downloads

Time Period of the Dataset [?]: January 01, 2020-April 06, 2023 ... More

This dataset updates: As needed

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the Pitcairn Islands: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

CSV
GeoTIFF

Antigua and Barbuda: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1500+ Downloads

Time Period of the Dataset [?]: June 10, 2019-April 06, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Antigua and Barbuda: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Cabo Verde: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1500+ Downloads

Time Period of the Dataset [?]: May 20, 2019-April 06, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Cabo Verde: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

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JSON

Tonga: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1300+ Downloads

Time Period of the Dataset [?]: June 19, 2019-April 05, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Tonga: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip

Tuvalu: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1200+ Downloads

Time Period of the Dataset [?]: June 19, 2019-April 05, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Tuvalu: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip

Turkmenistan: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1200+ Downloads

Time Period of the Dataset [?]: June 19, 2019-April 05, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Turkmenistan: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip

Georgia: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1300+ Downloads

Time Period of the Dataset [?]: September 19, 2019-April 05, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Georgia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip
JSON

Armenia: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1300+ Downloads

Time Period of the Dataset [?]: September 19, 2019-April 05, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Armenia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip
JSON

Guam: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1300+ Downloads

Time Period of the Dataset [?]: June 19, 2019-March 22, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Guam: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip
JSON

Macau: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1400+ Downloads

Time Period of the Dataset [?]: June 19, 2019-March 22, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Macau: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip

Cayman Islands: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1200+ Downloads

Time Period of the Dataset [?]: June 10, 2019-March 22, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the Cayman Islands: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip

Bhutan: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1500+ Downloads

Time Period of the Dataset [?]: June 19, 2019-March 21, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bhutan: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip
JSON

Jersey: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

700+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Jersey: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

CSV
GeoTIFF