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  • Updated 29 July 2020 | Dataset date: July 28, 2020-July 28, 2020
    This dataset updates: Every year
    Histórico de Defunciones no fetales en Colombia entre 2008 a enero-marzo 2020, con fuente DANE
  • 5700+ Downloads
    Updated 17 August 2022 | Dataset date: December 08, 2021-December 08, 2021
    This dataset updates: Every day
    This dataset contains key figures (topline numbers) on the world's most pressing humanitarian crises. The data, curated by ReliefWeb's editorial team based on its relevance to the humanitarian community, is updated regularly. The description of the files and columns can be found in the additional metadata spreadsheet file.
  • 80+ Downloads
    Updated 15 August 2018 | Dataset date: December 31, 2001-December 31, 2001
    This dataset updates: Every year
    Health Facility Location Points (334 records), with names and status (open in 2001). Zip file includes health facilities shapefiles, citation and detail metadata.
  • 20+ Downloads
    Updated 3 December 2020 | Dataset date: October 05, 2017-October 05, 2017
    This dataset updates: Every week
    This dataset contains distribution tracking data for water, food, NFIs and shelter items in Dominica in the aftermath of Hurricane Irma. The coordination team in Dominica has been working with partners to make the data as accurate as possible. Please share your distribution to any locations directly to the available dataset created by the team in Dominica or send your information or queries to hurricanemaria2017@undac.org
  • 500+ Downloads
    Updated 18 August 2022 | Dataset date: January 01, 2017-March 31, 2023
    This dataset updates: As needed
    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.
  • 800+ Downloads
    Updated 22 January 2016 | Dataset date: October 01, 2015-January 19, 2016
    This dataset updates: Never
    This dataset shows the number of people affected by elnino rains per county
  • 1200+ Downloads
    Updated 10 November 2019 | Dataset date: October 01, 2016-December 31, 2016
    This dataset updates: Every three months
    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. An interactive map of the 3W data can be accessed here.
  • 800+ Downloads
    Updated 19 August 2022 | Dataset date: March 03, 2022-August 19, 2022
    This dataset updates: Every day
    Key Figures extracted from Ukraine Flash Appeal, FTS and the daily Situation Reports.
  • 900+ Downloads
    Updated 4 September 2021 | Dataset date: September 25, 2017-August 19, 2022
    This dataset updates: Never
    Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities for 2014, and estimates deaths over the past 15 years.
  • 100+ Downloads
    Updated 28 June 2022 | Dataset date: January 01, 2022-August 19, 2022
    This dataset updates: Every month
    This dataset contains the change in the cost of a food basket in relation to a previous period (Periods of 3 months). The change of the cost of basic food basket is calculated by comparing the seasonally adjusted cost of the food basket with the cost in the reference period (previous quarter or baseline), as percentage change. The change is considered normal when the percentage change is between 0 and 3%, moderate when it is between 3 and 10%, high when it is between 10 and 25%, and severe above 25%. Note that the countries included here only include those monitored by WFP.
  • 200+ Downloads
    Updated 25 September 2020 | Dataset date: April 11, 2017-April 11, 2017
    This dataset updates: Every two weeks
    This dataset is an extraction of the WFP database following UNSDI-T standards. See "Attributes" tab for more information on the data structure. Roads are displayed here according to their functional class (fclass). It contains as well information on current status of the roads, as per latest Road Access Constraints map from Logistics Cluster. The dataset was updated on 11 April 2017. For more information on attributes, please go check the layer on WFP geonode:
  • 8700+ Downloads
    Updated Live | Dataset date: December 01, 2019-August 18, 2022
    This dataset updates: Live
    Data Overview This repository contains spatiotemporal data from many official sources for 2019-Novel Coronavirus beginning 2019 in Hubei, China ("nCoV_2019") You may not use this data for commercial purposes. If there is a need for commercial use of the data, please contact Metabiota at info@metabiota.com to obtain a commercial use license. The incidence data are in a CSV file format. One row in an incidence file contains a piece of epidemiological data extracted from the specified source. The file contains data from multiple sources at multiple spatial resolutions in cumulative and non-cumulative formats by confirmation status. To select a single time series of case or death data, filter the incidence dataset by source, spatial resolution, location, confirmation status, and cumulative flag. Data are collected, structured, and validated by Metabiota’s digital surveillance experts. The data structuring process is designed to produce the most reliable estimates of reported cases and deaths over space and time. The data are cleaned and provided in a uniform format such that information can be compared across multiple sources. Data are collected at the time of publication in the highest geographic and temporal resolutions available in the original report. This repository is intended to provide a single access point for data from a wide range of data sources. Data will be updated periodically with the latest epidemiological data. Metabiota maintains a database of epidemiological information for over two thousand high-priority infectious disease events. Please contact us (info@metabiota.com) if you are interested in licensing the complete dataset. Cumulative vs. Non-Cumulative Incidence Reporting sources provide either cumulative incidence, non-cumulative incidence, or both. If the source only provides a non-cumulative incidence value, the cumulative values are inferred using prior reports from the same source. Use the CUMULATIVE FLAG variable to subset the data to cumulative (TRUE) or non-cumulative (FALSE) values. Case Confirmation Status The incidence datasets include the confirmation status of cases and deaths when this information is provided by the reporting source. Subset the data by the CONFIRMATION_STATUS variable to either TOTAL, CONFIRMED, SUSPECTED, or PROBABLE to obtain the data of your choice. Total incidence values include confirmed, suspected, and probable incidence values. If a source only provides suspected, probable, or confirmed incidence, the total incidence is inferred to be the sum of the provided values. If the report does not specify confirmation status, the value is included in the "total" confirmation status value. The data provided under the "Metabiota Composite Source" often does not include suspected incidence due to inconsistencies in reporting cases and deaths with this confirmation status. Outcome - Cases vs. Deaths The incidence datasets include cases and deaths. Subset the data to either CASE or DEATH using the OUTCOME variable. It should be noted that deaths are included in case counts. Spatial Resolution Data are provided at multiple spatial resolutions. Data should be subset to a single spatial resolution of interest using the SPATIAL_RESOLUTION variable. Information is included at the finest spatial resolution provided to the original epidemic report. We also aggregate incidence to coarser geographic resolutions. For example, if a source only provides data at the province-level, then province-level data are included in the dataset as well as country-level totals. Users should avoid summing all cases or deaths in a given country for a given date without specifying the SPATIAL_RESOLUTION value. For example, subset the data to SPATIAL_RESOLUTION equal to “AL0” in order to view only the aggregated country level data. There are differences in administrative division naming practices by country. Administrative levels in this dataset are defined using the Google Geolocation API (https://developers.google.com/maps/documentation/geolocation/). For example, the data for the 2019-nCoV from one source provides information for the city of Beijing, which Google Geolocations indicates is a “locality.” Beijing is also the name of the municipality where the city Beijing is located. Thus, the 2019-nCoV dataset includes rows of data for both the city Beijing, as well as the municipality of the same name. If additional cities in the Beijing municipality reported data, those data would be aggregated with the city Beijing data to form the municipality Beijing data. Sources Data sources in this repository were selected to provide comprehensive spatiotemporal data for each outbreak. Data from a specific source can be selected using the SOURCE variable. In addition to the original reporting sources, Metabiota compiles multiple sources to generate the most comprehensive view of an outbreak. This compilation is stored in the database under the source name “Metabiota Composite Source.” The purpose of generating this new view of the outbreak is to provide the most accurate and precise spatiotemporal data for the outbreak. At this time, Metabiota does not incorporate unofficial - including media - sources into the “Metabiota Composite Source” dataset. Quality Assurance Data are collected by a team of digital surveillance experts and undergo many quality assurance tests. After data are collected, they are independently verified by at least one additional analyst. The data also pass an automated validation program to ensure data consistency and integrity. NonCommercial Use License Creative Commons License Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) This is a human-readable summary of the Legal Code. You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one. With the understanding that: Waiver — Any of the above conditions can be waived if you get permission from the copyright holder. Public Domain — Where the work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license. Other Rights — In no way are any of the following rights affected by the license: Your fair dealing or fair use rights, or other applicable copyright exceptions and limitations; The author's moral rights; Rights other persons may have either in the work itself or in how the work is used, such as publicity or privacy rights. Notice — For any reuse or distribution, you must make clear to others the license terms of this work. The best way to do this is with a link to this web page. For details and the full license text, see http://creativecommons.org/licenses/by-nc-sa/3.0/ Liability Metabiota shall in no event be liable for any decision taken by the user based on the data made available. Under no circumstances, shall Metabiota be liable for any damages (whatsoever) arising out of the use or inability to use the database. The entire risk arising out of the use of the database remains with the user.
  • 10+ Downloads
    Updated 11 August 2022 | Dataset date: May 01, 2021-May 31, 2021
    This dataset updates: As needed
    Language data drawn from the REACH Initiative 2021 JMCNA. Includes the percentage of the population who speak each language and literacy rates for men and women age 5 and older. Available at the admin 0, 1, and 2 levels.
  • 20+ Downloads
    Updated 17 August 2022 | Dataset date: April 11, 2022-May 03, 2022
    This dataset updates: Every six months
    The dataset aims to collect data on population presence, living conditions and needs in a particular displacement location or community.
  • Updated 16 August 2022 | Dataset date: January 01, 2021-December 31, 2021
    This dataset updates: As needed
    This dataset contains 23 data tables on global trends in forced displacement in 2021. The data provide trends, national level summaries and the demographic composition of refugees, asylum-seekers, Venezuelans displaced abroad, internally displaced persons (IDPs), returnees (refugees and IDPs), stateless persons, and other persons of concern to UNHCR.
  • 4600+ Downloads
    Updated Live | Dataset date: December 16, 2020-August 17, 2022
    This dataset updates: Live
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
  • 20000+ Downloads
    Updated 31 January 2019 | Dataset date: September 15, 2018-September 15, 2018
    This dataset updates: Every three months
    NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. SW Map package: for mobile use, this enables users to visualize the site maps and boundaries on their own mobile. Together with the relevant files, users can also find a manual showing step by step how to copy files from their own computer to SW Map running on another portable device. KMZ file: for desktop use, this enables users to visualize the site maps and boundaries on Google Earth. By adding or removing layers, it is possible to visualize each location assessed by NPM Baseline 10. These files are available on HDX. Historical UAV imagery of Rohingya settlements in Cox Bazar in GIS, KML Google Earth, Mbtiles (SW Maps), format. Updates of imagery will be added on top of the list. NPM has also produced individual packages by camps: - Please click [here] {https://data.humdata.org/dataset/iom-bangladesh-npm-drone-imagery-and-gis-package-by-camp-sept-oct-2018} to access the data by camp as of September 2018. - Please click here to access the data by camp as of August 2018. - Please click here to access the data by camp as of July 2018. - Please click here to access the data by camp as of June 2018. - Please click here to access the data by camp as of May 2018. - Please click here to access the data by camp as of April 2018. All majhee blocks shapefiles are also available at the following link: Please click here to access the most current majhee block shapefiles, as well as all historical versions.
  • 100+ Downloads
    Updated 18 August 2022 | Dataset date: March 13, 2020-August 19, 2022
    This dataset updates: Every day
    Number of COVID-19 confirmed cases by region and date
  • 70+ Downloads
    Updated 18 August 2022 | Dataset date: December 14, 2021-December 14, 2021
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 3400+ Downloads
    Updated 2 November 2020 | Dataset date: January 01, 2015-October 02, 2020
    This dataset updates: Every month
    This collection of datasets is related to the Lake Chad Basin crisis visualization. The collection includes key crisis figures, Number of IDPs and refugees; number of incidents by location; Accessible territories; and data on funding.
  • 900+ Downloads
    Updated 18 August 2022 | Dataset date: January 04, 1999-August 19, 2022
    This dataset updates: Every day
    Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency. There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x). Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
  • 40+ Downloads
    Updated 9 November 2021 | Dataset date: November 01, 2021-November 01, 2021
    This dataset updates: Every year
    The dataset contains households and individual number of migrants at village level. The dataset is gender and age dis-aggregated.
  • 2400+ Downloads
    Updated 17 August 2022 | Dataset date: August 17, 2022-August 19, 2022
    This dataset updates: Every year
    First and second administrative boundaries (regions and districts) of the Gambia The dataset displays the first administrative boundaries (divisions) of the Gambia
  • 100+ Downloads
    Updated 15 August 2018 | Dataset date: December 31, 2001-December 31, 2001
    This dataset updates: Every year
    Countour Lines at 100m Intervals. Interpolated (using a kriging interpolator) from a 30 second grid DTM. Grid cell size was set to 500m. The shapefile was produced directly from the grid using elevation intervals of 100m. Positional Accuracy: Interpolated from 1km grid. DTM originally obtained from Geo Business Solutions. Zip file includes elevation and relief, Namibia borders and settlements shapefiles, and detail metadata.
  • 400+ Downloads
    Updated 17 August 2022 | Dataset date: January 01, 1997-August 12, 2022
    This dataset updates: Every week
    A weekly dataset providing the total number of reported civilian targeting events and fatalities broken down by country. Civilian targeting events include violence against civilians events and explosions/remote violence events in which civilians were directly targeted. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.