Creative Commons Attribution for Intergovernmental Organisations
[19]
ODbL
[1]
Open Database License (ODC-ODbL)
[14]
Other
[22]
Public Domain
[1]
Public Domain / No Restrictions
[7]
UN-Habitat’s urban datasets are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/
[1]
Honduras 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.
The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk.
The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.
"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
Contains data from IDMC's Global Internal Displacement Database.
This table contains subnational multidimensional poverty trends data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).
Flood risk has been assessed based on data obtained from European Commission's Joint Research Centre. In this analysis, the amount of surface for each municipality that is in flood risk areas has been compiled. The hazard classification is determined using Jenks Natural Breaks Classification (or Optimization) system. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador).
For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
Storm and hurricane risk has been assessed based on a database called IBTrACS obtained from the NOAA (National Centers for Environmental Information). The hazard classification is determined by the frequency of the events. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador)
For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
Honduras administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Volcanic activity risk has been assessed based on data obtained from the Ministry of Environment of El Salvador. In this analysis, circular areas have been delineated around the location of each active volcano. The hazard classification is determined by the proximity of a specific area to a volcano. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador)
For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.
This dataset contains agency- and open source events published in the Attacks on Health Care News Brief and included in the Safeguarding Health in Conflict Coalition (SHCC) annual reporting on violence against or obstruction of health care. This page is managed by SHCC member Insecurity Insight.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
There is also a global dataset.
The INFOM Honduras tool has been implemented and will be updated by the Permanent Contingency Commission (COPECO). COPECO and other government institutions will jointly implement the INFORM initiative in the context of the National Risk Management System (SINAGER). The national Humanitarian Network, Civil Society Organizations, Academic institutions, and the Association of Municipalities of Honduras (AMHON) will also collaborate with the initiative.
100+ Downloads
This dataset updates: Never
This dataset is part of the data series [?]: INFORM Models
This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
Proyecciones de Población del Instituto Nacional de Estadística - INE - por edad y sexo según Departamento y Municipio 2020
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Honduras - Subnational Administrative Boundaries using the ADM0, ADM1, or ADM2_PCODE fields.
Honduras administrative level 0-2 boundaries
PLEASE REFER TO THE CAVEATS ABOUT THE ADMINISTRATIVE LEVEL 3 DATA.
24 NOVEMBER UPDATES:
Due to the structural inconsistency of the best available administrative level 3 boundary information it has been removed from the standard gazetteer, shapefile, geodatabase, web service, and EMF resources and P-coding of populated places resource. HOWEVER a shapefile and EMF file of the original administrative level 3 boundaries is still included in this dataset. Please see the caveats below for specific information.
Note that a [Honduras Open Street Map populated places dataset is available here](https://data.humdata.org/dataset/cod-ps-hnd).
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
These boundaries are suitable for database or GIS linkage to the Honduras - Subnational Population Statistics tables.
More than 200 million businesses use Facebook globally. The goal of Meta’s quarterly Small Business Surveys is to learn about the unique perspectives, challenges and opportunities of small and medium-sized businesses (SMBs).
The Future of Business (FoB) Survey is conducted biannually in partnership with the World Bank and the Organisation for Economic Cooperation and Development (OECD) across nearly 100 countries. The target population consists of SMEs that have an active Facebook Business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. Meta also conducts the Global State of Small Business (GSoSB) Survey bi-annually in partnership with various academic partners across approximately 30 countries. Similarly to the FoB Survey, the target population is active Facebook Page Administrators, but also includes the general population of Facebook users.
Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, international trade, inflation, reduction of employees and challenges/needs of the business.
Aggregated country level data for each survey wave is available to the public on HDX and controlled access microdata is available to Data for Good at Meta partners. Please visit https://dataforgood.facebook.com/dfg/tools/future-of-business-survey to apply for access to microdata or contact dataforgood@fb.com for any questions.
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following:
Microestimates of wealth for all low- and middle-income countries
Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock
Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119
More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/
Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119
Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid
An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/
Education indicators for Honduras.
Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September), Demographic and Socio-economic (made 2022 September)
These document are compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the monitoring framework of the Humanitarian Response Plans in Activated Health Clusteres.
The data comes from humanitarianaction For any ideas, updates, or corrections please contact Alberto Castillo Aroca castilloalb@who.int GHCU-IM Assessment and Analysis IMO or the GHC healthcluster@who.int.
The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement.
The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
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.