Hungary

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  • Hungary - Protection Profiling and Monitoring - May-Dec 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: May 01, 2022-September 12, 2022 ... More
    Modified [?]: 6 February 2023
    Dataset Added on HDX [?]: 20 November 2022
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    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Protection Monitoring
    To strengthen and promote an evidence-based protection response, UNHCR and its partners have been implementing a protection monitoring exercise since May 2022 to regularly collect and analyze data about the profiles, needs and intentions of refugees from Ukraine and monitor changes over time. The exercise covers the following countries that have received refugees from Ukraine: Belarus, Bulgaria, Hungary, Republic of Moldova (5,035), Poland, Romania and Slovakia. The protection monitoring involves household-level interviews conducted at border crossing points, reception and transit centres, collective sites, and assistance points in major cities using a structured questionnaire. Trained enumerators from UNHCR and partners collect data in face-to-face interviews. While respondents are randomly selected to reduce bias, the sample is considered a non-probability sample and results should be considered indicative, meaning they cannot be extrapolated to the population of refugees from Ukraine. The result reflects the refugees' situation and intentions at the time of data collection. This dataset includes 541 household interviews conducted in Hungary between May and December 2022. It is an anonymous version of the original data collected and used for the primary analysis.
  • Hungary - Multi-Sector Needs Assessment - 2022
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: September 12, 2022-September 25, 2022 ... More
    Modified [?]: 29 November 2022
    Dataset Added on HDX [?]: 29 November 2022
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    This dataset updates: Never
    Starting in February 2022, an increasing number of refugees and third-country nationals (TCNs) entering Hungary was registered as a result of the war in Ukraine. As of November 2022, over 1.7 million arrivals have been reported by the Hungarian authorities from Ukraine. To respond to their needs, informing the planning for the 2023 Refugee Response Plan in Hungary, the Inter-Agency Coordination Team carried out this joint Multi-Sectoral Needs Assessment (MSNA) targeting the population displaced due to the war in Ukraine and currently residing in Hungary. Data collection took place in September 2022. Overall, accommodation, education, employment opportunities, and access to mental health care appeared as the overriding concerns for the population displaced to Hungary from Ukraine. In addition, four out of 10 respondents declared constraints in meeting the basic needs of their household over the past month, while two out of 10 respondents reported current constraints with food for them and their family members. This dataset is the anonymous version of the original dataset.
  • Climate Change Opinion Survey
    Data for Good at Meta
    4800+ Downloads
    Time Period of the Dataset [?]: February 17, 2021-June 28, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 24 June 2021
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    This dataset updates: Every year
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
  • Movement Range Maps
    Data for Good at Meta
    55000+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-May 24, 2022 ... More
    Modified [?]: 24 May 2022
    Confirmed [?]: 31 May 2022
    Dataset Added on HDX [?]: 26 May 2020
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    This dataset updates: As needed
    NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
  • Hungary: High Resolution Population Density Maps + Demographic Estimates
    Data for Good at Meta
    900+ Downloads
    Time Period of the Dataset [?]: September 19, 2019-March 17, 2022 ... More
    Modified [?]: 17 March 2022
    Dataset Added on HDX [?]: 21 September 2019
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    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 Hungary: (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).
  • Survey on Gender Equality At Home
    Data for Good at Meta
    4600+ Downloads
    Time Period of the Dataset [?]: September 21, 2020-January 14, 2022 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 22 September 2020
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    This dataset updates: As needed
    This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
  • Current IATI aid activities in Hungary
    International Aid Transparency Initiative
    Time Period of the Dataset [?]: January 01, 2019-December 08, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
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    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
    Live list of active aid activities for Hungary shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from https://d-portal.org Definitions for the geographical-precision codes are available at https://iatistandard.org/en/iati-standard/203/codelists/geographicalprecision/
  • Hungary - Population Counts
    WorldPop
    10+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 16 September 2020
    Dataset Added on HDX [?]: 27 May 2019
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    This dataset updates: As needed
    This dataset is part of the data series [?]: World Pop - Population Counts
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • Novel Coronavirus (COVID-19) Cases Data
    Johns Hopkins University Center for Systems Science and Engineering
    437000+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
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    This dataset updates: As needed
    JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • Airports in Hungary
    OurAirports
    10+ Downloads
    Time Period of the Dataset [?]: January 01, 2008-December 08, 2024 ... More
    Modified [?]: 27 July 2020
    Dataset Added on HDX [?]: 2 June 2014
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    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
    List of airports in Hungary, with latitude and longitude. Unverified community data from http://ourairports.com/countries/HU/
  • Hungary - Population Density
    WorldPop
    70+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 24 November 2020
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    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Population Density
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
  • Hungary - Age and sex structures
    WorldPop
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
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    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646