Honduras

Key Figures
  • Time Period of the Dataset [?]: March 01, 2020-May 22, 2022 ... More
    Modified [?]: 24 May 2022
    Confirmed [?]: 31 May 2022
    Dataset Added on HDX [?]: 26 May 2020
    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/
    54000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 2 April 2022
    Dataset Added on HDX [?]: 29 May 2022
    The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.
    10+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - High Frequency Survey
  • Time Period of the Dataset [?]: January 31, 2024-January 31, 2024 ... More
    Modified [?]: 15 March 2022
    Confirmed [?]: 28 February 2024
    Dataset Added on HDX [?]: 13 December 2019
    This dataset shows the number of People in Need (PiN), funds required, and funds received by country over the years, from 2010 to 2024.
    900+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: September 21, 2020-September 21, 2020 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 22 September 2020
    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
    4000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2019 ... More
    Modified [?]: 6 January 2022
    Dataset Added on HDX [?]: 6 January 2022
    This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
    100+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries
  • Time Period of the Dataset [?]: January 01, 2019-March 29, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
    Live list of active aid activities for Honduras 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 http://www.d-portal.org
    10+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
  • Time Period of the Dataset [?]: August 01, 2018-August 30, 2018 ... More
    Modified [?]: 22 November 2021
    Dataset Added on HDX [?]: 31 January 2022
    The main objective of this study is to collect evidence that allows to improve the understanding of the phenomenon of internal displacement in Honduras, know the magnitude and the impact, promote the design of the institutional and legal framework to strengthen the response to this problem in the country. On In this sense, the objectives of the study are the following: - Estimate the population affected by displacement internal at the national level, with disaggregated information by gender and age, as well as geographically. - Identify updated profiles of the population displaced and at risk, including, among others, the characterization by gender identity and origin ethnic. - Delve into the causes and perpetrators of internal displacement. - Analyze, from a comparative point of view with the rest of the population, the situation of the population internally displaced including their socioeconomic status, living conditions, protection needs. - Identify needs, vulnerabilities, capacities and mechanisms to protect the displaced population and at risk.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: October 26, 2020-November 27, 2020 ... More
    Modified [?]: 22 September 2021
    Dataset Added on HDX [?]: 11 October 2021
    The main purpose of this assessment is to present an overview of the situation and the priority needs of older persons on the move in Latin America, with a focus on some countries in the Andean region and the northern part of Central America. The assessment also includes the impact and worsening of older persons access to and exercise of their rights and services, under the current situation caused by the COVID-19 pandemic. To this end, this assessment will provide data and evidence for decision-making, public-policy design, and the implementation of programmes that promote the rights of older persons on the move throughout the region and during the entire displacement cycle.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 14, 2020-May 17, 2021 ... More
    Modified [?]: 15 September 2021
    Dataset Added on HDX [?]: 15 June 2021
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
    600+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: March 18, 2020-July 27, 2021 ... More
    Modified [?]: 30 August 2021
    Dataset Added on HDX [?]: 30 August 2021
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations.
    10+ Downloads
    This dataset updates: Every three months
    This dataset is part of the data series [?]: OCHA Latin America and the Caribbean- Operational Presence 3W
  • Time Period of the Dataset [?]: January 01, 1990-August 15, 2021 ... More
    Modified [?]: 22 August 2021
    Dataset Added on HDX [?]: 15 April 2015
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    10000+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: December 01, 2019-March 30, 2020 ... More
    Modified [?]: 27 May 2021
    Dataset Added on HDX [?]: 27 May 2021
    Multiple causes for displacement, all too often underpinned by violence and persecution, has led to over 800,000 Central Americans fleeing their homes, beginning in 2013. Year after year, there has been an increase in individuals fleeing. This was marked initially by especially large numbers of unaccompanied children, then joined in around 2018 with dramatic increases in families units fleeing Central America. Families are forced to flee together as violent threats and persecution by criminal groups in communities extend beyond individuals to entire family units. Given these shifting dynamics in human mobility in these countries, UNHCR and UNICEF, through the Interdisciplinary Development Consultants, CID Gallup, decided to undertake this study with the aim of understanding and giving visibility to the forced displacement of families that flee northern Central America. In addition, the study also seeks to shed light on the current trends, protection risks and factors associated to the forced displacement and migration of unaccompanied and separated children. For this purpose, Gallup conducted 3,104 surveys, complemented by focus group sessions segmented according to the geography of displacement in the region: country of origin, of transit and of asylum. Additionally, interviews were undertaken with families who were part of large mixed movement "caravans" that left Honduras at the beginning of 2020.
    70+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
    300+ Downloads
    This dataset updates: Every three months
  • Time Period of the Dataset [?]: December 01, 2020-February 19, 2021 ... More
    Modified [?]: 22 February 2021
    Dataset Added on HDX [?]: 7 December 2020
    The dataset contains 93 harmonized indicators on 14 topics (demographic, food security, education, labor, health..) on households and individuals in 44 countries across all developing regions.
    600+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: November 16, 2020-November 22, 2020 ... More
    Modified [?]: 27 November 2020
    Confirmed [?]: 4 March 2022
    Dataset Added on HDX [?]: 27 November 2020
    The dataset contains IDPs and it's needs.
    70+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Site and Location Assessment
  • Time Period of the Dataset [?]: November 13, 2020-November 13, 2020 ... More
    Modified [?]: 13 November 2020
    Dataset Added on HDX [?]: 13 November 2020
    Honduras Open Street Map populated places P-coded to COD-AB SEE CAVEATS Populated Places extracted from Open Street Map (OSM) by MapAction P-coded from the Honduras - Subnational Administrative Boundaries Common Operational Dataset. SEE CAVEATS
    80+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: November 10, 2020-November 10, 2020 ... More
    Modified [?]: 11 November 2020
    Dataset Added on HDX [?]: 10 November 2020
    This dataset provides the Web Map Service (WMS) layers described below and a tutorial document for consuming the WMS layers in ArcGIS. Link to overall Geoportal website. Links to specific layers on the Geoportal are embedded below. Albergues (Shelters): Albergues registrados por el Centro de Operaciones de Emergencia Nacional (COEN) de COPECO (Shelters registered by the National Emergency Operations Center (COEN) of COPECO) Datos COVID19 por Departamento (COVID19 Data by Department): Número de casos totales, muertos y recuperados, por Departamento (Number of total cases, dead and recovered, by Department) Eventos_ETA (ETA events): Mapeo de incidentes durante la tormenta ETA (Incident mapping during the ETA storm) Fallas Geologicas Centroamerica (Central America Geological Faults) Incidencias ETA por Municipio (ETA incidents by Municipality): Reporte de las incidencias registradas por el Centro de Operaciones de Emergencia Nacional (COEN) de COPECO, a nivel municipal (Report of incidents registered by the COPECO National Emergency Operations Center (COEN), at the municipal level) Limite Aldeas de Honduras (Honduras village limits) Limite Departamental de Honduras (Departmental Limit of Honduras = Administrative level 2) Limite Municipal de Honduras (Municipal Limit of Honduras = Administrative level 1) Limite Nacional de Honduras (National Boundary of Honduras = Administrative level 0) NOTES ON CODS: The P-coded Common Operational Dataset boundaries for administrative levels 0, 1, and 2 are available at Honduras - Subnational Administrative Boundaries. The accompanying Common Operational Dataset 2020 projected sex and age disaggregated population statistics for administrative level 0, 1, and 2 are available at Honduras - Subnational Population Statistics.
    100+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 16 September 2020
    Dataset Added on HDX [?]: 20 July 2017
    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
    90+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
  • Time Period of the Dataset [?]: March 23, 2020-March 23, 2020 ... More
    Modified [?]: 9 August 2020
    Dataset Added on HDX [?]: 22 June 2015
    Listado de centros educativos de Honduras, desagregado por municipios y haciendo diferenciación entre centros educativos rurales y urbanos.
    1800+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
    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
    433000+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 24 November 2020
    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
    50+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
  • Time Period of the Dataset [?]: January 01, 2008-March 29, 2024 ... More
    Modified [?]: 25 May 2020
    Dataset Added on HDX [?]: 28 April 2014
    List of airports in Honduras, with latitude and longitude. Unverified community data from http://ourairports.com/countries/HN/
    10+ Downloads
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
  • Time Period of the Dataset [?]: June 10, 2019-June 10, 2019 ... More
    Modified [?]: 11 June 2019
    Dataset Added on HDX [?]: 10 June 2019
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Honduras: (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).
    1200+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
    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
    40+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
  • Time Period of the Dataset [?]: January 01, 1899-January 01, 1899 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    Populated places (House & Facilities)
    COD 90+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements