• Time Period of the Dataset [?]: June 09, 2022-June 09, 2022 ... More
    Modified [?]: 9 June 2022
    Dataset Added on HDX [?]: 21 July 2017
    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.
    2300+ Downloads
    This dataset updates: Every day
    This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data
  • Time Period of the Dataset [?]: January 27, 2022-May 26, 2022 ... More
    Modified [?]: 8 June 2022
    Dataset Added on HDX [?]: 7 May 2020
    The current COVID 19 outbreak has affected global mobility in the form of various travel disruptions, restrictions and bans On 18 March 2020 the Government of Cameroon put in place a series of precautionary measures to contain the spread of the pandemic including the closure of the country’s land, air and sea borders, the suspension of visa issuance at the airports for all incoming travellers, the shutdown of all training and educational establishments and the banning of gatherings of more than fifty persons throughout its national territory In order to better understand how these restrictions are affecting mobility in the country.
    200+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: June 21, 2019-December 30, 2021 ... More
    Modified [?]: 8 June 2022
    Confirmed [?]: 8 June 2022
    Dataset Added on HDX [?]: 12 December 2019
    The datasets cover the period of 21 June - 30 December and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and Zamfara.
    300+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: IOM - DTM Baseline Assessment
  • Time Period of the Dataset [?]: January 01, 2022-March 31, 2022 ... More
    Modified [?]: 6 June 2022
    Dataset Added on HDX [?]: 6 June 2022
    Nigeria: Northeast Nigeria 3Ws (January-March 2022)
    40+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: OCHA Nigeria - 3W
  • Time Period of the Dataset [?]: January 01, 1991-December 31, 2021 ... More
    Modified [?]: 29 May 2022
    Dataset Added on HDX [?]: 4 May 2020
    Prices for Turkey. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
    400+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
  • Time Period of the Dataset [?]: May 15, 2013-March 15, 2022 ... More
    Modified [?]: 22 May 2022
    Dataset Added on HDX [?]: 26 September 2018
    This dataset contains Food Prices data for Turkey, sourced from the World Food Programme Price Database. 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.
    500+ Downloads
    This dataset updates: Every week
    This dataset is part of the data series [?]: WFP - Food Prices
  • Time Period of the Dataset [?]: January 01, 1961-December 31, 2019 ... More
    Modified [?]: 15 May 2022
    Dataset Added on HDX [?]: 28 July 2017
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected Tropical Diseases, World Health Statistics, Health financing, Tobacco, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health Equity Monitor, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, 0, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS, Noncommunicable diseases and mental health, Health workforce, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization, NLIS For links to individual indicator metadata, see resource descriptions.
    3700+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: WHO - WHO Health Indicators
  • Time Period of the Dataset [?]: January 01, 1989-December 09, 2019 ... More
    Modified [?]: 3 May 2022
    Dataset Added on HDX [?]: 16 September 2019
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
    200+ Downloads
    This dataset updates: Every month
    This dataset is part of the data series [?]: UCDP - Data on Conflict Events
  • Time Period of the Dataset [?]: January 01, 2016-January 31, 2021 ... More
    Modified [?]: 3 May 2022
    Dataset Added on HDX [?]: 2 May 2022
    A dataset containing confirmed dengue cases and deaths from the Department of Health-Epidemiology Bureau in the Philippines. Notes: Reported dengue cases includes suspect, probable and confirmed. Deaths were included in the total number of cases.
    2400+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: October 23, 2021-October 23, 2021 ... More
    Modified [?]: 2 May 2022
    Dataset Added on HDX [?]: 31 March 2022
    This project is a portmanteau of OSM + Map + Paaralan - to collaboratively map public schools (paaralan) in the Philippines, on OpenStreetMap. Documentation available at https://wiki.openstreetmap.org/wiki/Philippines/OSMaPaaralan
    100+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 26 April 2022
    Confirmed [?]: 16 October 2023
    Dataset Added on HDX [?]: 30 January 2022
    This dataset presents key outputs and a step-by-step implementation of the Joint Intersectoral Analysis Framework(JIAF) approach in Burundi as well as the number of people in need ( PIN ) disaggregated by gender, age, population groups and geographical area. JIAF is a methodologically new approach to analysing the multiple needs of populations in crisis, their magnitude and severity.
    60+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 2022-March 31, 2022 ... More
    Modified [?]: 26 April 2022
    Dataset Added on HDX [?]: 26 April 2022
    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.
    100+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Afghanistan - Who does What Where
  • Time Period of the Dataset [?]: January 01, 2021-November 30, 2021 ... More
    Modified [?]: 24 April 2022
    Dataset Added on HDX [?]: 27 January 2021
    Newly displaced population due to conflict between 01 January 2021 and 30 November 2021, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 24 April 2022 and the numbers are expected to change as new assessment figures become available.
    1600+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Afghanistan - Conflict Induced Displacements 2016-2022
  • Time Period of the Dataset [?]: May 04, 2020-May 28, 2020 ... More
    Modified [?]: 22 April 2022
    Dataset Added on HDX [?]: 22 April 2022
    The dataset contains number of IDPs, Returnees (households and individuals) at sub national levels.
    50+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Baseline Assessment
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2021 ... More
    Modified [?]: 18 April 2022
    Dataset Added on HDX [?]: 8 April 2022
    Esta base de datos, extraída del portal de datos abiertos de la Unidad para la Atención Integral y Reparación a las Víctimas, contiene el número de víctimas por hechos del conflicto armado en Colombia entre 2017-2021 desagregado por hecho victimizante, departamento de ocurrencia, sexo, etnia y condición de discapacidad
    60+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: February 16, 2020-April 30, 2022 ... More
    Modified [?]: 4 April 2022
    Dataset Added on HDX [?]: 17 March 2020
    The number of children, youth and adults not attending schools or universities because of COVID-19 is soaring. Governments all around the world have closed educational institutions in an attempt to contain the global pandemic. According to UNESCO monitoring, over 100 countries have implemented nationwide closures, impacting over half of world’s student population. Several other countries have implemented localized school closures and, should these closures become nationwide, millions of additional learners will experience education disruption.
    6500+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 31 March 2022
    Dataset Added on HDX [?]: 3 January 2019
    The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners. It presents the number of people in need (PIN), the number of people in acute need (Acute PIN), the number of beneficiaries to be targeted for assitance, and the details of the activities under the 2022 HRP. The data sources and methodology for the derivation of the PIN and Acute PIN figures can be found in the Iraq 2022 HNO; the basis of the targets and further background and details of the HRP activities can be found in the Iraq 2022 HRP.
    COD 900+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
  • Time Period of the Dataset [?]: November 12, 2021-December 01, 2021 ... More
    Modified [?]: 30 March 2022
    Confirmed [?]: 7 March 2024
    Dataset Added on HDX [?]: 17 February 2020
    The dataset contains number of IDPs, Returnees and host communities and their needs at sub national level.
    1200+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Baseline Assessment
  • Time Period of the Dataset [?]: November 12, 2021-November 30, 2021 ... More
    Modified [?]: 30 March 2022
    Dataset Added on HDX [?]: 30 October 2019
    The data contains number of IDPs dis-aggregated by gender, age at village level.
    100+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Site and Location Assessment
  • Time Period of the Dataset [?]: February 27, 2020-February 02, 2022 ... More
    Modified [?]: 27 March 2022
    Dataset Added on HDX [?]: 19 May 2020
    Subnational data about Covid19 in Nigeria per day - Infections (new cases), Deaths, Recoveries + Gender data per region (only April - October 2020).
    5600+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 09, 2020-March 18, 2022 ... More
    Modified [?]: 27 March 2022
    Dataset Added on HDX [?]: 19 May 2020
    Subnational data about Covid19 in Burkina Faso - Infected (new cases, gender), Deceased, Recovered. NEW (!) : VACCINATION DATA PER REGION (1st & 2nd dose) Type of vaccine : AstraZeneca ; Johnson&Johnson
    1100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 13, 2020-March 25, 2022 ... More
    Modified [?]: 27 March 2022
    Dataset Added on HDX [?]: 19 May 2020
    Subnational data about Covid19 in Mauritania - Infections (new cases, gender), Deaths, Recoveries. Please note that the gender data is not available yet for every day, our teams are working on it. Thank you for your understanding.
    400+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: March 25, 2020-March 24, 2022 ... More
    Modified [?]: 27 March 2022
    Dataset Added on HDX [?]: 19 May 2020
    Subnational data about Covid19 in Mali - Infections (new cases, gender), Deaths, Recoveries.
    700+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: Hera - Subnational Covid Cases
  • Time Period of the Dataset [?]: December 31, 2001-December 31, 2001 ... More
    Modified [?]: 25 March 2022
    Dataset Added on HDX [?]: 6 February 2020
    Language data drawn from the 2001 government census. Includes the percentage of the population for whom this is their main language, English speaking rates, and literacy rates of people age 15 and older. Available at the admin 0, 1, and 2 levels.
    900+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: CLEAR Global - Languages
  • Time Period of the Dataset [?]: December 31, 2011-December 31, 2011 ... More
    Modified [?]: 25 March 2022
    Dataset Added on HDX [?]: 25 March 2022
    All data is drawn from government survey results and is subject to any associated limitations or distortions present in the source data. Literacy was measured as the ability of people belonging to indigenous communities to read and write in any language. Languages with population shares less than 0.01% or under 1,000 people (whichever is greater) have been aggregated into the “Other” field. All decimal values have been rounded to a maximum of 3 decimal places. As a result language shares may not total 100%. Language fields were calculated by multiplying the percentage of people belonging to each individual Indigenous group from the 2011 census by the proportion of people who spoke an Indigenous language in Indigenous groups from the 2001 census. Empty values represent non-existent data and should not be treated as zero values. Data is available under an Attribution NonCommercial ShareAlike 4.0 International license (CC BY NC SA 4.0) You are free to share and adapt the data subject to requirements for attribution and non commercial use. Any derivative work must be distributed under the same license as the original. Full terms at https://creativecommons.org/licenses/by nc sa/4.0/.
    100+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: CLEAR Global - Languages