Data Grid Completeness
10/27 Core Data 26 Datasets 18 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
5 Datasets
Refugees & Persons of Concern
Humanitarian Profile Locations
U.S. Department of State - Humanitarian Information Unit
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
9 Datasets
3w - Who is doing what where
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Damaged & Destroyed Buildings
UN Operational Satellite Applications Programme (UNOSAT)
UN Operational Satellite Applications Programme (UNOSAT)
Food Security & Nutrition
1 Datasets
Food security
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
5 Datasets
Health & Education
5 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Assistance Coordination Unit
Assistance Coordination Unit
Population & Socio-economy
2 Datasets
Baseline Population
Baseline Population by Age & Sex
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 3900+ Downloads
    Updated December 3, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2019
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • Updated December 3, 2020 | Dataset date: Jan 1, 2019
    This data is by request only
    The ACU’s Information Management Unit conducted the 5th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on the education sector in the Syrian Arab Republic. This is the most representative, nuanced iteration of this study to date, covering 4,016 schools within 78 sub-districts across 6 governorates in all non-governmental areas of the Syrian Arab Republic, building upon 38,538 data e-forms with 34,522 forms on perception surveys with school students, teachers, principals and parents. The research key findings and data represent the time period of February till May 2019 which cover the second semester of the academic year 2018/2019. This report provides a broad view of the current obstacles and most pressing needs of the educational sector, covering a spectrum of issues ranging from facilities to student and teacher life in Syria’s embattled regions. The report consists of 15 sections: Methodology, General Information, Functioning School Buildings, WASH in Schools, School Equipment, School Levels and School Days, Curricula, Certificates, Students, School and Students Needs, Teachers, Disabled Students and Psychosocial Support, Policies and Regulations within Schools, Non-Functional Schools, Priorities and Recommendations. The 5th version of Schools in Syria will be released and published by mid-December 2019.
  • 100+ Downloads
    Updated December 3, 2020 | Dataset date: Nov 1, 2017-Jan 31, 2018
    This dataset updates: Never
    The ACU’s Information Management Unit conducted the 4th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on education and the needs of students and school supplies. This is the most representative, nuanced iteration of this study to date, covering 4,079 schools within 99 sub-districts across 10 governorates, building upon 35,925 data e-forms with 31,846 forms on perception surveys. It has significant increase in the number of the functional schools addressed over its first version to the current one by 2,572 schools. Please note to be more specific as possible on the following when you request the data: Why are you requesting the data? What is the intent to use the data? What is your role? Who is the organization that you represent for?
  • 60+ Downloads
    Updated December 3, 2020 | Dataset date: Jun 1, 2020-Sep 1, 2020
    This dataset updates: Every month
    This study includes information on the population of all cities and towns outside the control of the Regime in Syria. The study is updated monthly, in that IMU enumerators of ACU track the population in all areas outside the control of the regime, along with movements of displacement and return on a permanent basis. This study also presents the total number of population and gender ratio, the total number of IDPs and the types of shelters in which they are settled, the number of newly displaced people during the last month and the types of shelters in which they are settled, the number of those who left and the reasons that forced them to leave their home towns, the number of returnees during the last month with their most critical needs. The Study presents information on the situation of the local councils in areas to which the residents returned during the past month, availability of basic services in areas of return, evaluation of these services, decision-makers and primary service providers, and sources of income for returnees. The study data can be shown at different levels through the filter bar at the top of the page; it is also possible to display the graphic figures at three levels (district - sub-district - community) through the buttons at the bottom of the figures. Maps can be shown at two levels (district - sub-district) through the two buttons at the bottom of the map. Data can be downloaded from the last page of the study. For more details, please contact us through IMU email address: imu@acu-sy.org
  • 2700+ Downloads
    Updated December 3, 2020 | Dataset date: Sep 2, 2020
    This dataset updates: Every month
    The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors: Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
  • 2600+ Downloads
    Updated December 3, 2020 | Dataset date: Jun 1, 2017-Aug 1, 2020
    This dataset updates: Every month
    This dashboard highlights the living situation in Syria by showing the prices of basic market items. How to use this product: The first three pages track price change chronologically on governorate level, with ability to compare between them by choosing one or more. The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s).
  • 400+ Downloads
    Updated December 3, 2020 | Dataset date: Dec 3, 2020
    This dataset updates: Every day
    Covid-19 Impact on Humanitarian Operations Data Viz inputs
  • 7200+ Downloads
    Updated December 3, 2020 | Dataset date: Dec 3, 2020
    This dataset updates: Every day
    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.
  • 100+ Downloads
    Updated December 3, 2020 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every three months
    Education indicators for Syrian Arab Republic. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: Students and Teachers (made 2020 September), SDG 4 Global and Thematic (made 2020 September), Demographic and Socio-economic (made 2020 September)
  • 1000+ Downloads
    Updated December 2, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2020
    This dataset updates: Every week
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
  • 10+ Downloads
    Updated Live | Dataset date: Nov 6, 2020
    This dataset updates: Live
    The AWSD is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. Incident data is collected both from public sources, through systematic media filtering using a data scraper tool developed for Humanitarian Outcomes, and from information provided directly to the project by aid organisations and operational security entities. The project also maintains agreements with a number of regional and field-level security consortiums for direct information sharing and verification of incidents. Incident reports are crosschecked and verified with the relevant agencies on an annual basis via our verification project. The latest, unverified incidents are provided on the online database with the qualification that the numbers are provisional and may change. For more: https://aidworkersecurity.org/about
  • 400+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2019
    This dataset updates: Every year
    Food Security Indicators for Syrian Arab Republic. Contains data from the FAOSTAT bulk data service.
  • 100+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 1, 1991-Jan 31, 2018
    This dataset updates: Every year
    Prices for Syrian Arab Republic. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual, Producer Prices
  • 8300+ Downloads
    Updated November 29, 2020 | Dataset date: Jan 1, 1990-Nov 15, 2020
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 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.
  • 1200+ Downloads
    Updated November 29, 2020 | Dataset date: Apr 15, 2011-Oct 15, 2020
    This dataset updates: Every week
    This dataset contains Food Prices data for Syrian Arab Republic. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 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.
  • 2800+ Downloads
    Updated November 24, 2020 | Dataset date: Jan 1, 2019-Oct 31, 2020
    This dataset updates: Every month
    Data contains: - Monthly full details data sets for IDP movements and spontaneous IDP returns estimations. - In each file there is summary table for IDP arrival estimations at governorates level since January-2016. - In each file there is summary table for spontaneous IDP returns estimations at governorates level since August-2018.
  • Updated November 24, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
  • 300+ Downloads
    Updated November 24, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 10+ Downloads
    Updated November 20, 2020 | Dataset date: Nov 20, 2020
    This dataset updates: As needed
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
  • 21000+ Downloads
    Updated November 19, 2020 | Dataset date: Jun 1, 2017
    This dataset updates: Every six months
    Syria Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes. Geodatabase maintains Arabic names better than shapefile Note that Admin 4 is the populated places layer. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Mantika Admin Level 3 = Sub-district= Nahya Populated places = City or Village
  • 70+ Downloads
    Updated Live | Dataset date: Jan 1, 2017-Dec 31, 2020
    This dataset updates: Live
    Projects proposed, in progress, or completed as part of the annual Syrian Arab Republic Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.
  • 6000+ Downloads
    Updated Live | Dataset date: Jan 1, 2015-Dec 31, 2020
    This dataset updates: Live
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 2700+ Downloads
    Updated November 16, 2020 | Dataset date: Jan 1, 2017-Oct 31, 2020
    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).
  • 1900+ Downloads
    Updated November 16, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2020
    This dataset updates: Every month
    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, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, UHC, 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, Neglected Tropical Diseases, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization For links to individual indicator metadata, see resource descriptions.
  • 200+ Downloads
    Updated Live | Dataset date: Nov 30, 2020
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19