• Updated 7 August 2022 | Dataset date: January 01, 2014-December 31, 2021
    Employment Rate (%) Labour Force Participation Rate (%) Unemployment Rate (%)
    600+ Downloads
    This dataset updates: Every year
  • Updated 7 August 2022 | Dataset date: January 01, 1991-December 31, 2021
    Prices for Zimbabwe. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
    1500+ Downloads
    This dataset updates: Every year
  • Updated 7 August 2022 | Dataset date: January 15, 1990-July 15, 2022
    This dataset contains Countries, Commodities and Markets data, sourced from the World Food Programme Price Database. The volume of data means that the actual Food Prices data is in country level datasets. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 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.
    6100+ Downloads
    This dataset updates: Every week
  • Updated 7 August 2022 | Dataset date: January 01, 2022-August 06, 2022
    Number of Refugees returning to Afghanistan for the period of 01 January 2022 to 06 August 2022 by district of destination and origin.
    600+ Downloads
    This dataset updates: Every week
  • Updated 7 August 2022 | Dataset date: February 05, 2019-February 05, 2019
    Consolidated 4W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
    21000+ Downloads
    This dataset updates: As needed
  • Updated 7 August 2022 | Dataset date: May 31, 2020-May 31, 2020
    Aggregated figures for Natural Disasters in EM-DAT More on the EM-DAT database : ( website / data portal ). Each line corresponds to a given combination of year, country, disaster subtype and reports figures for : number of disasters total number of people affected total number of deaths economic losses (original value and adjusted)
    5300+ Downloads
    This dataset updates: Every day
  • Updated 7 August 2022 | Dataset date: August 07, 2022-August 07, 2022
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    11000+ Downloads
    This dataset updates: Every day
  • Updated 7 August 2022 | Dataset date: January 01, 2017-March 31, 2023
    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.
    500+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: January 01, 2019-August 08, 2022
    Live list of active aid activities for Nepal 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
    20+ Downloads
    This dataset updates: Live
  • Updated 7 August 2022 | Dataset date: December 08, 2021-December 08, 2021
    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.
    5700+ Downloads
    This dataset updates: Every day
  • Updated 7 August 2022 | Dataset date: January 01, 2018-January 01, 2019
    This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily. The original dataset can be downloaded from the OSM West Africa Ebola response wiki.
    2200+ Downloads
    This dataset updates: Never
  • Updated Live | Dataset date: December 01, 2019-August 06, 2022
    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.
    8600+ Downloads
    This dataset updates: Live
  • Updated 6 August 2022 | Dataset date: March 03, 2022-August 08, 2022
    Key Figures extracted from Ukraine Flash Appeal, FTS and the daily Situation Reports.
    700+ Downloads
    This dataset updates: Every day
  • Updated 6 August 2022 | Dataset date: January 04, 1999-August 08, 2022
    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.
    900+ Downloads
    This dataset updates: Every day
  • Updated Live | Dataset date: December 14, 2020-August 08, 2022
    The GDS presence layer is a geographic representation of the UNHCR operational presence in the countries where UNHCR is operating. It shows the diverse types of presence including temporary presence such as Field Units. Each office is either Active or Inactive depending on the operational status reported by the field. The status of the GIS layer represents the current operational presence in the world.
    This dataset updates: Live
  • Updated Live | Dataset date: June 22, 2022-August 08, 2022
    This layer shows the different UNHCR active warehouses in the world. The boundaries and names included in this web service do not imply official endorsement or acceptance by the United Nations.
    This dataset updates: Live
  • Updated Live | Dataset date: June 07, 2021-August 08, 2022
    Point layer that represents populated places locations (e.g., capitals/ cities/ towns) and of administrative units (Level 1, 2 and 3 depending on availability).
    This dataset updates: Live
  • Updated 6 August 2022 | Dataset date: March 16, 2020-August 04, 2022
    This data has been collected from various sources and is displayed in this online dashboard: https://geonode.wfp.org/travel Mobile version: https://geonode.wfp.org/travel_mobile The data is divided in two datasets: COVID-19 restrictions by country: This dataset shows current travel restrictions. Information is collected from various sources: IATA, media, national sources, WFP internal or any other. COVID-19 airline restrictions information: This dataset shows restrictions taken by individual airlines or country. Information is collected again from various sources including WFP internal and public sources. The data displayed is a collaborative effort and anybody with more accurate/updated information is highly encouraged to contact WFP GIS unit for Emergencies at the following email address: hq.gis@wfp.org
    9900+ Downloads
    This dataset updates: Every day
  • Updated 6 August 2022 | Dataset date: June 19, 2022-June 19, 2022
    This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.
    100+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: June 07, 2021-August 08, 2022
    Geographic point layer representing all the people of concern's known locations in the world ( Refugees, Internally displaced, Stateless persons and other of concern). The data is displayed by population type and location type (typology adapted from the SPHERE handbook standard).
    This dataset updates: Live
  • Updated Live | Dataset date: May 07, 2021-August 08, 2022
    Country border crossing points. The boundaries and names included in this web service do not imply official endorsement or acceptance by the United Nations.
    10+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: June 23, 2022-August 08, 2022
    This layer shows the different administrative boundaries (levels: 1) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.
    This dataset updates: Live
  • Updated Live | Dataset date: July 23, 2021-August 08, 2022
    Polygon layer that represent the areas of Population Reference Points. Available only for the main People of Concern locations.
    This dataset updates: Live
  • Updated 6 August 2022 | Dataset date: December 14, 2021-December 14, 2021
    Topline figures dataset for the Central Emergency Response Fund's organisation page
    70+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: June 23, 2022-August 08, 2022
    This layer shows the different administrative boundaries (levels: 2) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.
    10+ Downloads
    This dataset updates: Live