Data Datasets [283] | Archived Datasets[0] [?]
Refine your search: Clear all
Data series [?]:
More
Locations:
More
  • Time Period of the Dataset [?]: January 04, 2022-March 31, 2022 ... More
    Modified [?]: 30 May 2024
    Dataset Added on HDX [?]: 7 April 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    UNHCR conducts protection monitoring on an ongoing basis to analyze protection trends and the risks that forcibly displaced and stateless persons are facing. Protection monitoring has also the purpose of identifying people who are in need for specific services, support, or information and refer them so that they can receive assistance accordingly to their needs. In the first quarter of 2022, UNHCR conducted at national level interviews with refugee households to elicit their feedback on the overall protection environment in Lebanon. The purpose of the collection was to use the feedback from refugees to inform UNHCR's advocacy and programmatic interventions with the aim of improving refugees' access to protection and essential services, assistance and information.
  • Time Period of the Dataset [?]: July 01, 2022-September 30, 2022 ... More
    Modified [?]: 30 May 2024
    Dataset Added on HDX [?]: 7 April 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    UNHCR conducts protection monitoring on an ongoing basis to analyze protection trends and the risks that forcibly displaced and stateless persons are facing. Protection monitoring has also the purpose of identifying people who are in need for specific services, support, or information and refer them so that they can receive assistance accordingly to their needs. In the third quarter of 2022, UNHCR conducted at national level interviews with refugee households to elicit their feedback on the overall protection environment in Lebanon. The purpose of the collection was to use the feedback from refugees to inform UNHCR's advocacy and programmatic interventions with the aim of improving refugees' access to protection and essential services, assistance and information.
  • Time Period of the Dataset [?]: April 04, 2022-June 30, 2022 ... More
    Modified [?]: 6 April 2024
    Dataset Added on HDX [?]: 7 April 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    UNHCR conducts protection monitoring on an ongoing basis to analyze protection trends and the risks that forcibly displaced and stateless persons are facing. Protection monitoring has also the purpose of identifying people who are in need for specific services, support, or information and refer them so that they can receive assistance accordingly to their needs. In the second quarter of 2022, UNHCR conducted at national level interviews with refugee households to elicit their feedback on the overall protection environment in Lebanon. The purpose of the collection was to use the feedback from refugees to inform UNHCR's advocacy and programmatic interventions with the aim of improving refugees' access to protection and essential services, assistance and information.
  • Time Period of the Dataset [?]: January 04, 2023-March 31, 2023 ... More
    Modified [?]: 6 April 2024
    Dataset Added on HDX [?]: 7 April 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    UNHCR conducts protection monitoring on an ongoing basis to analyze protection trends and the risks that forcibly displaced and stateless persons are facing. Protection monitoring has also the purpose of identifying people who are in need for specific services, support, or information and refer them so that they can receive assistance accordingly to their needs. In the first quarter of 2023, UNHCR conducted at national level interviews with refugee households to elicit their feedback on the overall protection environment in Lebanon. The purpose of the collection was to use the feedback from refugees to inform UNHCR's advocacy and programmatic interventions with the aim of improving refugees' access to protection and essential services, assistance and information.
  • Time Period of the Dataset [?]: October 03, 2022-December 30, 2022 ... More
    Modified [?]: 6 April 2024
    Dataset Added on HDX [?]: 7 April 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    UNHCR conducts protection monitoring on an ongoing basis to analyze protection trends and the risks that forcibly displaced and stateless persons are facing. Protection monitoring has also the purpose of identifying people who are in need for specific services, support, or information and refer them so that they can receive assistance accordingly to their needs. In the fourth quarter of 2022, UNHCR conducted at national level interviews with refugee households to elicit their feedback on the overall protection environment in Lebanon. The purpose of the collection was to use the feedback from refugees to inform UNHCR's advocacy and programmatic interventions with the aim of improving refugees' access to protection and essential services, assistance and information.
  • 90+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 3 January 2024
    Dataset Added on HDX [?]: 3 January 2024
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Kosovo population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • Time Period of the Dataset [?]: October 01, 2022-February 15, 2023 ... More
    Modified [?]: 11 December 2023
    Dataset Added on HDX [?]: 7 January 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    This comprehensive dataset provides invaluable insights into the evolving protection needs and integration challenges facing Ukrainian refugees several months into displacement in major host countries. It contains the results of 17,708 household interviews conducted by UNHCR and partners between October 2022 and February 15, 2023 across 5 key reception countries: Hungary, Republic of Moldova, Poland, Romania, and Slovakia. The interviews were carried out through rigorous random sampling at strategically selected locations including border crossings, reception and transit centers, collective sites, and assistance points in major cities. The questionnaire was redesigned for this second round to focus on pressing longer-term issues like healthcare, education, employment, housing, and local integration. While the sampling provides indicative findings only due to the non-probability approach, the dataset offers a rich evidence base to inform policy and programming. By comparing results over time with the first round (May-November 2022), researchers can analyze trends in refugees' situations, vulnerabilities, coping mechanisms, and unmet needs several months into displacement. The data collection was part of UNHCR's comprehensive protection profiling and monitoring exercise implemented since May 2022 to regularly gather insights into Ukrainian refugees' evolving profiles, risks, and needs. Detailed methodology documentation is provided to support proper interpretation and ethical utilization of the data.
  • 30+ Downloads
    Time Period of the Dataset [?]: June 28, 2022-June 08, 2023 ... More
    Modified [?]: 14 November 2023
    Dataset Added on HDX [?]: 20 August 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    Darien is Panama’s largest and poorest province. Bordering Colombia, the province hosts a 60-mile-deep jungle, the only breaking point of the Pan-American Highway, linking the continent from south to north. Darien is a transit location for thousands of refugees and migrants, most of them coming from Haiti, Venezuela, Cuba, and African and South Asian nations. According to official statistics of the Panamanian National Migration Service (SNM), from 2010 to 2020 some 120,000 people crossed through this area. In 2021 and 2022, Panama faced an unprecedented mixed movement crisis, with nearly 400,000 people making this perilous journey through the jungle. In 2022, a total of 248,284 people entered the country irregularly through Darien. Before they arrived at the Darien jungle, many of these refugees and migrants had previously crossed multiple countries often through unofficial border crossings, resulting in increased protection risks. These vulnerabilities were further exacerbated, during their journey through the jungle, by many risks and incidents which include, but are not limited to, thefts, physical and sexual attacks, murder, and extortion. Many of these refugees and migrants were also undocumented, limiting their access to basic services. Due to protection concerns, in July 2022, UNHCR started collecting monthly information on the characteristics, vulnerabilities, and protection needs of refugees and migrants entering Panama through the Darien jungle.
  • 5700+ Downloads
    Time Period of the Dataset [?]: March 11, 2020-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 11 March 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Global Population dataset. Vector H3 hexagons with population counts at 400m resolution. Per-country subsets of Kontur Population can be found here: data.humdata.org/organization/kontur 3km resolution version: data.humdata.org/dataset/kontur-population-dataset-3km 22km resolution version: data.humdata.org/dataset/kontur-population-dataset-22km Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 800+ Downloads
    Time Period of the Dataset [?]: March 11, 2020-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 10 January 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Global Population dataset. Vector H3 hexagons with population counts at 22km resolution. 400m resolution version: data.humdata.org/dataset/kontur-population-dataset 22km resolution version: data.humdata.org/dataset/kontur-population-dataset-22km Per-country subsets of Kontur Population: data.humdata.org/organization/kontur Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 10+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    American Samoa population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 90+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Portugal population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 10+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Seychelles population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    United Arab Emirates population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Switzerland population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 40+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Czechia population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 40+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Rwanda population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 50+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Guatemala population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Heard Island and McDonald Islands population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 60+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Costa Rica population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 20+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Lesotho population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 90+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Sri Lanka population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 40+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Albania population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    South Africa population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Tonga population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.