Syrian Arab Republic - Humanitarian Data Exchange

Quamishli infrastructure assets [By Request Only]

Updated December 4, 2020 | Dataset date: July 09, 2019-July 09, 2019

This data is by request only

Dataset of assets in the city of Quamishli comprising of the following sectors of Health, Education, Culture, Energy, Governance, Municipal service, WASH

Request access

Al Hasakeh infrastructure assets [By Request Only]

Urban Analysis Network Syria

Updated December 4, 2020 | Dataset date: January 13, 2019-January 31, 2019

This data is by request only

Dataset of assets in the city of Al Hasakeh comprising of the following sectors of Health, Education, Culture, Energy, Governance, Municipal service, WASH

Request access

Schools in Syria 2019 - Edition 5 [By Request Only]

Assistance Coordination Unit

Updated December 4, 2020 | Dataset date: January 01, 2019-January 01, 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.

Request access

Schools in Syria 2018 - Edition 4

Assistance Coordination Unit

100+ Downloads

Updated December 3, 2020 | Dataset date: November 01, 2017-January 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?

XLSX

Syrian Arab Republic - Population Density

WorldPop

10+ Downloads

Updated November 24, 2020 | Dataset date: January 01, 2000-December 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

GeoTIFF

Syrian Arab Republic - Population Counts

WorldPop

300+ Downloads

Updated November 24, 2020 | Dataset date: January 01, 2000-December 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

GeoTIFF

Humanitarian Access Indicators

HDX

40+ Downloads

Updated November 20, 2020 | Dataset date: November 20, 2020-November 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.

CSV

INSO Key Data Dashboard, Jan 2016 to Aug 2020

International NGO Safety Organisation (INSO)

2800+ Downloads

Updated September 21, 2020 | Dataset date: January 01, 2016-August 31, 2020

This dataset updates: Every month

This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.

XLSX

Syrian Arab Republic: Global Multidimensional Poverty Index (MPI)

Oxford Poverty & Human Development Initiative

30+ Downloads

Updated September 14, 2020 | Dataset date: July 08, 2020-July 10, 2021

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 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).

XLSX

Insecurity Insight Data supporting ACAPs Access Map

Insecurity Insight

400+ Downloads

Updated September 9, 2020 | Dataset date: January 01, 2018-December 31, 2018

This dataset updates: As needed

This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.

XLSX

Aid Worker-related Road Safety Accidents (RSA)

Insecurity Insight

400+ Downloads

Updated September 9, 2020 | Dataset date: January 01, 2018-December 31, 2018

This dataset updates: As needed

This dataset contains events in which an aid worker was involved in a road safety accident (RSA). Categorized by country.

XLSX

Humanitarian Access Constraints due to COVID-19 Pandemic

OCHA HQ

200+ Downloads

Updated September 4, 2020 | Dataset date: August 31, 2020-August 31, 2020

This dataset updates: As needed

The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.

XLSX

COVID19 Humanitarian Access Constraints, Impacts and Mitigation

OCHA HQ

100+ Downloads

Updated September 2, 2020 | Dataset date: August 31, 2020-August 31, 2020

This dataset updates: Every two weeks

This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed

XLSX

Syrian Arab Republic - Food Security Indicators

WFP - World Food Programme

300+ Downloads

Updated September 2, 2020 | Dataset date: March 01, 2016-May 01, 2020

This dataset updates: Every month

The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).

CSV

Syria IDP flow data - September 2017

OCHA Turkey

200+ Downloads

Updated August 16, 2020 | Dataset date: October 23, 2017-October 23, 2017

This dataset updates: As needed

Data contains Syria IDP arrival estimations for September 2017, January 2016-September 2017 summary and table shows origin to destination estimation by governorate for September 2017.

XLSX

Airports in Syrian Arab Republic

OurAirports

50+ Downloads

Updated Live | Dataset date: January 01, 2008-December 31, 2027

This dataset updates: Live

List of airports in Syrian Arab Republic, with latitude and longitude. Unverified community data from http://ourairports.com/countries/SY/

CSV

HOTOSM Syrian Arab Republic Points of Interest (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

200+ Downloads

Updated July 10, 2020 | Dataset date: October 01, 2020-October 01, 2020

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: amenity addr:city opening_hours addr:street tourism name addr:full addr:housenumber man_made source rooms beds shop This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Syrian Arab Republic Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

200+ Downloads

Updated July 8, 2020 | Dataset date: October 01, 2020-October 01, 2020

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: building:levels addr:city addr:street name addr:full addr:housenumber office source building building:materials This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Education in Emergencies (EiE): Key Figures (2018-2019)

Global Education Cluster

100+ Downloads

Updated July 8, 2020 | Dataset date: January 01, 2020-January 01, 2020

This dataset updates: Every six months

The data shows key figures on Education in Emergencies (EiE) at country level and as reported by country clusters

XLSX
CSV

HOTOSM Syrian Arab Republic Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

300+ Downloads

Updated July 7, 2020 | Dataset date: October 01, 2020-October 01, 2020

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: covered blockage waterway water layer tunnel name natural depth source width This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Syrian Arab Republic Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

600+ Downloads

Updated July 7, 2020 | Dataset date: October 01, 2020-October 01, 2020

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: surface lanes oneway layer name smoothness source bridge width highway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Syria: Violent and Threatening Incidents Against Healthcare

Insecurity Insight

100+ Downloads

Updated July 3, 2020 | Dataset date: January 01, 2019-December 31, 2019

This dataset updates: As needed

These datasets contain information on violent and threatening incidents affecting healthcare in Syria to ensure staff safety and better response outcomes.

XLSX

HOTOSM Syrian Arab Republic Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

20+ Downloads

Updated July 1, 2020 | Dataset date: October 01, 2020-October 01, 2020

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: emergency:helipad addr:city capacity:persons name aeroway operator:type addr:full source emergency building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

HOTOSM Syrian Arab Republic Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

40+ Downloads

Updated July 1, 2020 | Dataset date: October 01, 2020-October 01, 2020

This dataset updates: Every month

OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: amenity addr:city name operator:type addr:full source capacity:persons building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Syrian Arab Republic - Age and sex structures

WorldPop

50+ Downloads

Updated June 29, 2020 | Dataset date: January 01, 2000-December 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. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. The 'Unconstrained global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. 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/WP00646

GeoTIFF