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  • Peru - Results Monitoring Survey, 2023 Q2
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: April 27, 2023-May 13, 2023 ... More
    Modified [?]: 5 December 2024
    Dataset Added on HDX [?]: 24 September 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. 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. This RMS took place in Peru from April 2023 to May 2023 at national level.
  • Afghanistan: Coronavirus(COVID-19) Subnational Cases
    HDX
    1600+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-May 14, 2025 ... More
    Modified [?]: 13 January 2024
    Dataset Added on HDX [?]: 6 April 2020
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Afghanistan.
  • Guatemala - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: July 11, 2022-July 30, 2022 ... More
    Modified [?]: 1 November 2023
    Dataset Added on HDX [?]: 20 November 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. 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. This RMS took place in Guatemala in July 2022 at national level.
  • Trinidad and Tobago - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: October 18, 2022-November 19, 2022 ... More
    Modified [?]: 5 October 2023
    Dataset Added on HDX [?]: 20 November 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. 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. This RMS took place in Trinidad and Tobago from October 2022 to November 2022 at national level.
  • Brazil - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: September 19, 2022-November 10, 2022 ... More
    Modified [?]: 13 September 2023
    Dataset Added on HDX [?]: 24 September 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. 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. This RMS took place in Brazil from September 2022 to November 2022 at national level.
  • Iraq - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: January 12, 2022-December 05, 2022 ... More
    Modified [?]: 7 September 2023
    Dataset Added on HDX [?]: 11 June 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Survey (RMS) has the objective of monitoring the impact and outcome of UNHCR's assistance 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. UNHCR Iraq has authorized IMPACT to undertake a Results Monitoring Survey targeting IDP/returnee and refugee families, including beneficiaries and non-beneficiaries, throughout Iraq in 2022 to assist in internal monitoring of results and impact indicators. This survey will help UNHCR create and execute successful interventions for Iraqi IDP/returnee and refugee families by providing vital information on their well-being and living situations.
  • Republic of Korea - Results Monitoring Survey 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: September 12, 2022-January 11, 2023 ... More
    Modified [?]: 4 July 2023
    Dataset Added on HDX [?]: 9 July 2023
    Less
    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.
  • Europe: Coronavirus (COVID-19) Subnational Cases
    HDX
    3100+ Downloads
    Time Period of the Dataset [?]: August 02, 2021-May 14, 2025 ... More
    Modified [?]: 29 May 2023
    Dataset Added on HDX [?]: 21 April 2020
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    This dataset updates: As needed
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    This dataset contains the number of confirmed cases, recoveries and deaths by country and subnational region due to the Coronavirus pandemic in Europe. Since the outbreak of the COVID-19 crisis, the Joint Research Centre (JRC) has been supporting the European Commission in multidisciplinary areas to understand the COVID-19 emergency, anticipate its impacts, and support contingency planning. This data provides an overview of the monitoring in the area of the 34 UCPM Participating States plus Switzerland related to sub-national data (admin level 1) on numbers of contagious and fatalities by COVID-19, collected directly from the National Authoritative sources (National monitoring websites, when available). The sub-national granularity of the data allows to have a fit-for-purpose model to early capture the local spread and response to the COVID-19 outbreak. The data is maintained on the JRC COVID-19 Github Repository
  • State of Palestine: Coronavirus(COVID-19) Subnational Cases
    HDX
    500+ Downloads
    Time Period of the Dataset [?]: April 01, 2021-December 04, 2022 ... More
    Modified [?]: 5 January 2023
    Dataset Added on HDX [?]: 15 May 2020
    Less
    This dataset updates: Every month
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
  • Libya: Coronavirus(COVID-19) Subnational Cases
    HDX
    100+ Downloads
    Time Period of the Dataset [?]: September 24, 2020-September 24, 2020 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 1 May 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    This dataset contains the number of confirmed cases, recoveries and deaths by locations due to the Coronavirus pandemic in Libya.
  • Haiti: Coronavirus (COVID-19) Subnational Cases
    HDX
    200+ Downloads
    Time Period of the Dataset [?]: May 06, 2020-October 08, 2021 ... More
    Modified [?]: 14 June 2022
    Dataset Added on HDX [?]: 21 April 2020
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
  • Mozambique: Coronavirus (COVID-19) Subnational Cases
    HDX
    16000+ Downloads
    Time Period of the Dataset [?]: March 22, 2020-February 13, 2022 ... More
    Modified [?]: 21 February 2022
    Dataset Added on HDX [?]: 28 May 2020
    Less
    This dataset updates: Every week
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    This dataset contains the number of confirmed cases, deaths and recoveries by province due to the Coronavirus pandemic in Mozambique.
  • Iraq: Coronavirus (COVID-19) Subnational Cases
    HDX
    300+ Downloads
    Time Period of the Dataset [?]: May 11, 2020-April 29, 2021 ... More
    Modified [?]: 6 December 2021
    Dataset Added on HDX [?]: 14 May 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    COvid 19 subnational data for iraq
  • Geographic Distribution of COVID-19 Cases Worldwide
    HDX
    3000+ Downloads
    Time Period of the Dataset [?]: December 31, 2019-August 02, 2021 ... More
    Modified [?]: 22 February 2021
    Dataset Added on HDX [?]: 23 March 2020
    Less
    This dataset updates: Live
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    Data collected by the European Centre for Disease Prevention and Control. The downloadable data file is updated daily and contains the latest available public data on COVID-19. Public-use data files allows users to manipulate the data in a format appropriate for their analyses. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes. For further information, visit https://www.ecdc.europa.eu/en/novel-coronavirus-china.
  • The New York Times Coronavirus (Covid-19) Cases and Deaths in the United States
    HDX
    11000+ Downloads
    Time Period of the Dataset [?]: December 19, 2020-March 23, 2023 ... More
    Modified [?]: 31 March 2020
    Dataset Added on HDX [?]: 31 March 2020
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases
    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak. Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak. We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak. The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository. United States Data Data on cumulative coronavirus cases and deaths can be found in two files for states and counties. Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information. Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data. State-Level Data State-level data can be found in the us-states.csv file. date,state,fips,cases,deaths 2020-01-21,Washington,53,1,0 ... County-Level Data County-level data can be found in the us-counties.csv file. date,county,state,fips,cases,deaths 2020-01-21,Snohomish,Washington,53061,1,0 ... In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these. Github Repository This dataset contains COVID-19 data for the United States of America made available by The New York Times on github at https://github.com/nytimes/covid-19-data