Updated
16 August 2022
| Dataset date: July 30, 2022-November 27, 2022
This dataset updates: Every six months
This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. 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
Updated
23 July 2022
| Dataset date: January 01, 2016-December 31, 2021
This dataset updates: As needed
The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
Updated
12 July 2022
| Dataset date: June 12, 2020-November 27, 2022
This dataset updates: Every year
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.
Updated
30 June 2022
| Dataset date: June 30, 2022-June 30, 2022
This dataset updates: As needed
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 (LINZ Data Service) NZ Building Outlines and OpenStreetMap data.
Gobal version of population dataset: Kontur Population: Global Population Density for 400m H3 Hexagons
Updated
28 June 2022
| Dataset date: February 17, 2021-March 03, 2021
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.
Updated
19 June 2022
| Dataset date: January 01, 2008-December 31, 2021
This dataset updates: Every year
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.
"People Displaced" refers to the number of people living in displacement as of the end of each year.
"New Displacement" 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.
Updated
31 May 2022
| Dataset date: March 01, 2020-May 22, 2022
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/
Updated
29 May 2022
| Dataset date: January 01, 2021-December 31, 2021
This dataset updates: Never
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.
Updated
13 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
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.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
15 March 2022
| Dataset date: September 30, 2021-September 30, 2021
This dataset updates: Every year
This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2010 to 2021.
PIN figures for 2022 are available in this dataset: Interagency Response Plans in 2022
Updated
15 February 2022
| Dataset date: January 01, 2017-December 31, 2021
This dataset updates: As needed
This page provides the data published in the Education in Danger Monthly News Brief.
All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
Updated
11 February 2022
| Dataset date: April 01, 2021-November 27, 2022
This dataset updates: As needed
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/
Updated
31 January 2022
| Dataset date: August 01, 2018-August 30, 2018
This dataset updates: Never
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.
Updated
14 January 2022
| Dataset date: September 21, 2020-September 21, 2020
This dataset updates: Every year
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
Updated
Live
| Dataset date: January 01, 2017-December 31, 2019
This dataset updates: Live
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.
Updated
15 December 2021
| Dataset date: October 13, 2021-October 13, 2021
This dataset updates: As needed
We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook.
Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259).
Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
Updated
14 December 2021
| Dataset date: October 07, 2021-October 15, 2022
This dataset updates: Every year
This table contains subnational multidimensional poverty 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 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
Updated
14 December 2021
| Dataset date: November 06, 2020-November 06, 2020
This dataset updates: As needed
The working best track wind radii are the farthest extent from the center of
34-, 50-, and 64-knot winds in each quadrant over the life of a tropical cyclone. The
working best track wind radii will generally not exactly match the radii contained in the
tropical cyclone advisories. This is because all of the data in a working best track are
subject to modification during the life cycle ofthe cyclone.
(Note: The "working best track" represents the forecasters' best estimates of the
location, intensity, and size of a tropical cyclone while the cyclone is ongoing. After the
life cycle is complete, forecasters prepare a "final best track", using data that might not
have been available operationally, and it is the final best track that represents NHC's official
historical record for the cyclone.)
No se provee información
Updated
14 December 2021
| Dataset date: December 16, 2020-December 16, 2020
This dataset updates: As needed
Physical road access constraints - as of 16 December 2020 - following TS IOTA.
Original dataset title: Honduras - Physical road access constraints, 16 December 2020
Updated
Live
| Dataset date: January 01, 2019-November 27, 2022
This dataset updates: Live
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
Updated
11 October 2021
| Dataset date: October 26, 2020-November 27, 2020
This dataset updates: Never
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.
