Syrian Arab Republic - Humanitarian Data Exchange

Syria Cultural Sites

U.S. Department of State - Humanitarian Information Unit

300+ Downloads

Updated 28 May 2021 | Dataset date: May 01, 2013-May 01, 2013

This dataset updates: Every month

The Syria Cultural Sites dataset contains geographic location (point geometry), name, type, and area name of over 1000 cultural heritage sites and museums in Syria compiled by the Cultural Heritage Center, Bureau of Educational and Cultural Affairs, U.S. Department of State (http://eca.state.gov/cultural-heritage-center) as of Spring 2013. The sites are categorized by type, which include but not limited to, archaeological sites, roman ruins, mosques, schools, churches, cemeteries, and towns. The data contained herein is entirely unclassified.

Syria Border Crossings

U.S. Department of State - Humanitarian Information Unit

3000+ Downloads

Updated 28 May 2021 | Dataset date: June 11, 2015-June 11, 2015

This dataset updates: Every month

Data as of June 11, 2015. The "Syria Border Crossings" dataset contains verified data about the geographic location (point geometry) and name of border crossings for Syria. Compiled by the U.S. Department of State, Humanitarian Information Unit (https://hiu.state.gov/), each attribute in the dataset is verified against multiple sources. Locations are only accurate down to the city level. The data contained herein is entirely unclassified and is current as of 16 April 2015. The data is updated as needed. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.

Syria: Violent and Threatening Incidents Against Health Care

Insecurity Insight

300+ Downloads

Updated 24 May 2021 | Dataset date: January 01, 2019-December 31, 2020

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

Pool fund Extended allocation Details

HDX

50+ Downloads

Updated 8 May 2021 | Dataset date: May 19, 2020-May 19, 2020

This dataset updates: As needed

Pool fund Extended allocation Details

CSV

Impact of the use of explosive weapons on health facilities

EWIPA Community

300+ Downloads

Updated 6 May 2021 | Dataset date: January 01, 2016-December 31, 2020

This dataset updates: As needed

This dataset contains events where air- and ground-launched explosive weapons affected health facilities between 2016 and 2020.

XLSX

Syrian Arab Republic - Human Development Indicators

UNDP Human Development Reports Office (HDRO)

100+ Downloads

Updated 4 May 2021 | Dataset date: January 01, 1990-December 31, 2030

This dataset updates: Every year

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

CSV

Attacks on Health Care in Countries in Conflict

Insecurity Insight

7000+ Downloads

Updated 30 April 2021 | Dataset date: January 01, 2016-December 31, 2020

This dataset updates: As needed

The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.

XLSX

UN Collective Results on the COVID-19 Socioeconomic Response in 2020

United Nations Development Coordination Office

100+ Downloads

Updated 15 April 2021 | Dataset date: March 01, 2020-December 31, 2020

This dataset updates: Every three months

Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.

XLSX

Azaz infrastructure assets [By Request Only]

Urban Analysis Network Syria

Updated 11 March 2021 | Dataset date: January 14, 2019-January 23, 2019

This data is by request only

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

Request access

Humanitarian Access Indicators

HDX

100+ Downloads

Updated 4 March 2021 | 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

Admissions for Treatment of Severe Acute Malnutrition (SAM)

UNICEF Data and Analytics (HQ)

100+ Downloads

Updated Live | Dataset date: February 08, 2021-September 22, 2021

This dataset updates: Live

Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country

CSV

Humanitarian Needs and Funding 2010-2021

OCHA HQ

400+ Downloads

Updated 22 January 2021 | Dataset date: July 31, 2021-July 31, 2021

This dataset updates: Every year

This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2010 to 2021.

XLSX

InterAction member activities in Syria

InterAction

100+ Downloads

Updated Live | Dataset date: November 16, 2015-September 22, 2021

This dataset updates: Live

List of aid activities by InterAction members in Syria. Source: http://ngoaidmap.org/location/gn_163843

CSV
JSON

Aleppo infrastructure assets [By Request Only]

Urban Analysis Network Syria

Updated 4 December 2020 | Dataset date: January 25, 2019-January 25, 2019

This data is by request only

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

Request access

Menbij infrastructure assets [By Request Only]

Urban Analysis Network Syria

Updated 4 December 2020 | Dataset date: June 22, 2019-June 22, 2019

This data is by request only

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

Request access

Quamishli infrastructure assets [By Request Only]

Urban Analysis Network Syria

Updated 4 December 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 4 December 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 4 December 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 3 December 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

30+ Downloads

Updated 24 November 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 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. Data for earlier dates is available directly from WorldPop. 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 24 November 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. Data for earlier dates is available directly from WorldPop. 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

Syrian Arab Republic: Global Multidimensional Poverty Index (MPI)

Oxford Poverty & Human Development Initiative

90+ Downloads

Updated 14 September 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

500+ Downloads

Updated 9 September 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.