Syrian Arab Republic

Data Grid Completeness
Coordination & Context
4 Datasets
60%  20%  20% 
Food Security & Nutrition
2 Datasets
66%  33% 
Geography & Infrastructure
4 Datasets
50%  50% 
Health & Education
2 Datasets
100% 
Population & Socio-economy
1 Datasets
50%  50% 
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.
Legend:
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
  • Time Period of the Dataset [?]: January 15, 2021-January 15, 2023 ... More
    Modified [?]: 4 April 2023
    Dataset Added on HDX [?]: 18 November 2015
    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 (also known as "Admin Level 4") = City or Village Dataset organization: Administrative boundary resources (shapefiles, geodatabases. and gazetteer) are separate from the populated places shapefiles resources except the live geoservices, which provide both administrative boundaries and populated places. Most Recent Changes: 15 January 2021 ITOS geoservices, shapefile, and geodatabase for populated places ("administrative level 4") added. 12 January 2021 ITOS geoservices, shapefiles, and geodatabase added. EMF files added. ITOS gazetteer added. 18-August-2020 added 327 Communities. 21-March-2019 added 14 Communities. 19-Dec-2018 Use the Neighborhood as point loaded in the same layer/ Excel file called as a humanitarian Location added 11 Communities. 01-July-2018 added 1528 Communities and some localities moved to their accurate locations 31-Jan-2018- added 91 populated places and areas, some localities moved to their accurate locations, essential change in the admin boundary in Tartous Governorate at Admin 2 and Admin 3 1-June-2017- added 24 populated places and areas 22-Feb-2017- added three populated places and fixed some typos in admin4 and neighborhoods 04-Oct-2016 - Added two populated places 20-Sept-2016 - Built-up polygonal layer was created so that for each populated place there is a corresponding built-up poplygon; Added populated places based on feedback from humanitarian partners ; Neighborhood layer now includes 11 main cities with new p-codes ; column names follow global standard; reference names are unique both in English and Arabic 12-Jan-2014 - Shape file version posted. UTF-8 has been used to enable the correct display of Arabic characters. 19-May-2013 - New features added to Admin4 ; English Names edited to be consistent in all Admin levels; locations of few communities adjusted 07-Jan-2013 - Column with Capitals of Administrative Units (1 - 3) added to Populated Places (Admin 4). No changes. 19-Dec-2012 - Minor change: erroneous Admin 1 p-code for the populated place Arab Elmalik Jerkes (p-code = C3571) corrected (from SY010 to SY10). 12-Dec-2012 - Added neighborhoods , currently Damascus only. Added "C" as leading character of pcodes at level 4 (populated places) to ensure uniqueness. The digits remain the same from earlier versions. 24-Sep-2012 - Consolidated spelling between all 4 levels for all admin levels. Pcodes added. 24-Aug-2012 - Shapefile versions added. Exported from the geodatabase version of 30-June-2011. 30-Jun-2012 - Topology cleaned, underscores removed from admin names. Languages: EN AR
    COD+ 18000+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Population Statistics
  • Time Period of the Dataset [?]: March 01, 2023-April 04, 2023 ... More
    Modified [?]: 4 April 2023
    Dataset Added on HDX [?]: 23 March 2023
    The recent earthquake that struck the south of Turkey and the north of Syria on the 6th of February has caused widespread destruction and devastation in the region. Thousands of people lost their lives, and many more were injured. The aftermath of this disaster has left many families displaced and in desperate need of medical attention. In response to this crisis, the Assistance Coordination Unit (ACU) conducted a survey in health facilities in northwest Syria to assess epidemiologically earthquake-induced injuries in northwest Syria. This report aims to present this survey’s findings and provide insights into the types of injuries sustained by individuals affected by the earthquake using the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD 10). This report highlights the urgent need for medical aid and support in the affected areas to prevent further loss of life and alleviate the suffering of those impacted by this tragic event.
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 15, 2023-March 20, 2023 ... More
    Modified [?]: 28 March 2023
    Dataset Added on HDX [?]: 16 February 2023
    On February 6, 2023, at dawn, a strong earthquake hit southern Turkey and northern Syria with a magnitude of 7.8 on the Richter scale, resulting in thousands of casualties and thousands of injured in Turkey and North-West Syria. The Assistance Coordination Unit (ACU), through its field team network represented by the following departments: Early Warning Alert and Response Network, WASH, Polio Team, Immunization Program, Information Management Unit, DPU, and M&E conducted a needs and damage assessment following the devastating earthquake.
    500+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: February 06, 2023-April 18, 2024 ... More
    Modified [?]: 24 March 2023
    Dataset Added on HDX [?]: 3 March 2023
    Data collected by the OCHA/UNDP Connecting Business initiative (CBi) on cash and in-kind donations made by private sector entities (corporations and corporate-affiliated foundations) to help support the the humanitarian response to the Türkiye-Syria earthquakes.
    300+ Downloads
    This dataset updates: Every two weeks
  • Time Period of the Dataset [?]: January 01, 2019-January 01, 2019 ... More
    Modified [?]: 2 March 2023
    Dataset Added on HDX [?]: 21 October 2019
    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.
    This data is by request only
  • Time Period of the Dataset [?]: February 19, 2021-April 18, 2024 ... More
    Modified [?]: 28 February 2023
    Dataset Added on HDX [?]: 19 February 2021
    This dataset contains COVID-19 vaccine dose availability forecasts as well as actual deliveries for countries with Humanitarian Response Plans. The data on vaccine availability forecasts was manually extracted from the COVAX Facility Interim Distribution Forecast as announced by COVAX on 3 February 2021. Figures for actual deliveries through channels other than COVAX are compiled by OCHA from press reports. The source(s) press releases, official announcements or articles for each such vaccine delivery are included in the dataset.
    1500+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 23 February 2023
    Dataset Added on HDX [?]: 23 February 2023
    A scaled estimate of the extent of built-up presence in each 100 square meter unit area, inferred from buildings. Denoted by a decimal percentage between 0 and 1 indicating how much of the 10m x 10m grid cell is covered by buildings. From the Atlas of Human Settlements 2021 @ Syria.
    10+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: Atlas AI - Turkey and Syria built up areas
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 23 February 2023
    Dataset Added on HDX [?]: 23 February 2023
    Built-up presence (binary) in a 10m x 10m grid. From the Atlas of Human Settlements 2021 @ Syria.
    20+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: Atlas AI - Turkey and Syria built up areas
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 23 February 2023
    Dataset Added on HDX [?]: 23 February 2023
    A vector representation of the built-up surface, spatially aggregated within a 50m radius. From the Atlas of Human Settlements 2021 @ Syria.
    60+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: Atlas AI - Turkey and Syria built up areas
  • Time Period of the Dataset [?]: February 13, 2023-February 13, 2023 ... More
    Modified [?]: 14 February 2023
    Dataset Added on HDX [?]: 14 February 2023
    The dataset contains community-level information from key informants (KIs) in 607 assessed communities across Greater Idleb and Northern Aleppo. The full survey was carried out in communities reporting direct earthquake impact (damage/service disruption) and/or arrival of new IDPs since the initial earthquake, with sections covering: 1) Population & Displacement, 2) CCCM, 3) Shelter damage & SNFI emergency needs, 4) Nutrition & Protection 5) Key Infrastructure Impacts & Service Access, 6) Priority Needs and 7) Humanitarian Assistance
    90+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: March 01, 2022-April 18, 2024 ... More
    Modified [?]: 10 February 2023
    Dataset Added on HDX [?]: 10 February 2023
    This is a collection of all the available data on Turkiye and Syria in the ACAPS database as of 10.02.2023. The collection puts together the extraction of data from the following datasets and products: INFORM Severity Index (TUR005, SYR002, REG015 crises) ACAPS Humanitarian Access (TUR005, SYR002, REG015) Humanitarian Access Events Dataset Events Timeline Seasonal Calendar ACAPS Risk List Protection Monitoring Dataset* this product is not yet publicly available, but they will be published as standalone global products in the next weeks. ACAPS supports the earthquake response with a comprehensive data repository, providing both baseline pre-earthquake data, and in-crisis data. All these datasets are available with more frequent releases on the ACAPS API Please refer to http://www.acaps.org for the detailed codebooks of each dataset. For any inquiry please reach out to info@acaps.org
    100+ Downloads
    This dataset updates: Every week
  • Time Period of the Dataset [?]: February 06, 2023-April 18, 2024 ... More
    Modified [?]: 10 February 2023
    Confirmed [?]: 16 February 2023
    Dataset Added on HDX [?]: 10 February 2023
    Key Figures extracted from OCHA daily Situation Reports. On 6 February as a 7.7 magnitude earthquake struck southern Türkiye at 4:17 am. This is Türkiye's most powerful earthquake recorded since 1939. At least 78 aftershocks have been reported followed by a second earthquake of 7.5 magnitude at 13:24 with the epicenter in Ekinozu/Kahramanmaras province. Tremors were reportedly felt in Gaziantep and neighboring provinces. The Government of Türkiye has since issued a Level 4 alarm, calling for international assistance.
    100+ Downloads
    This dataset updates: Every day
  • Time Period of the Dataset [?]: February 08, 2021-April 18, 2024 ... More
    Modified [?]: 29 December 2022
    Dataset Added on HDX [?]: 25 January 2021
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
    400+ Downloads
    This dataset updates: Live
  • Time Period of the Dataset [?]: August 16, 2020-August 16, 2020 ... More
    Modified [?]: 28 December 2022
    Dataset Added on HDX [?]: 28 December 2022
    This dataset provides the populated places in the Syrian Arab Republic.
    100+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2023 ... More
    Modified [?]: 27 December 2022
    Dataset Added on HDX [?]: 30 December 2021
    This dataset contains tabular data representing the severity classification of the Food Security & Agriculture (FSA) People in Need (PiN) by admin1 extracted from the Humanitarian Needs Overview (HNO) by year.
    200+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: January 01, 1970-December 31, 2019 ... More
    Modified [?]: 21 December 2022
    Dataset Added on HDX [?]: 3 April 2020
    Education indicators for Syrian Arab Republic. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September), Demographic and Socio-economic (made 2022 September)
    300+ Downloads
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UNESCO - Education Indicators
  • Time Period of the Dataset [?]: January 01, 2022-April 18, 2024 ... More
    Modified [?]: 12 December 2022
    Confirmed [?]: 5 April 2024
    Dataset Added on HDX [?]: 12 December 2022
    These document are compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the monitoring framework of the Humanitarian Response Plans in Activated Health Clusteres. The data comes from humanitarianaction For any ideas, updates, or corrections please contact Alberto Castillo Aroca castilloalb@who.int GHCU-IM Assessment and Analysis IMO or the GHC healthcluster@who.int. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
    100+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: October 25, 2022-November 07, 2022 ... More
    Modified [?]: 7 October 2022
    Dataset Added on HDX [?]: 5 October 2022
    The Information Management Unit (IMU) of Assistance Coordination Unit (ACU) produced the Seventh Edition of the “Winter Needs in Northwest Syria Camps” report. It sheds light on the reality of displacement camps in Northwest Syria, the numbers of IDPs and their age groups, the nature of IDPs’ shelters, their most urgent needs for the coming winter, and the top priorities of the needs. The report also highlights shows the availability of civil defense centers at the camps. The report presents recommendations for humanitarian actors to respond to the most urgent and life-saving response to be provided based on the findings of the study.
    70+ Downloads
    This dataset updates: As needed
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
  • Time Period of the Dataset [?]: February 06, 2020-April 18, 2024 ... More
    Modified [?]: 28 July 2022
    Dataset Added on HDX [?]: 28 July 2022
    The geodatabase contains boundaries for the national and first-, second-, and third-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided. The tabular data contain total population for 2004 (census) and 2011, 2014, and 2016 (population estimates), as well as five-year age group and sex, and information relating to ethnicity, housing, access to services, forced dispersion, IDP movements, and people in need.
    100+ Downloads
    This dataset updates: As needed
    This dataset is part of the data series [?]: US Census Bureau - Subnational Population and Housing Data Tables
  • Time Period of the Dataset [?]: October 07, 2019-October 24, 2019 ... More
    Modified [?]: 18 June 2022
    Dataset Added on HDX [?]: 10 July 2022
    Most refugees live in environments where they have access to markets and services in the same way that local communities do. Providing refugees with cash enables them to fulfil their needs in a dignified manner and contributes to the local economy. UNHCR uses cash-based interventions (CBI) to provide protection, assistance, and services to the most vulnerable. Cash and vouchers help the displaced meet a variety of needs, including access to food, water, healthcare, shelter, that allow them to build and support livelihoods, and to facilitate voluntary repatriation. Refugees, asylum-seekers, internally displaced and other vulnerable populations receive cash assistance through collaborative cash systems in which UNHCR works in close partnership with governments, the private sector, UN agencies, community-based and local partners and development actors. UNHCR started a corporate Post-Distribution Monitoring (PDM) process to review the use and effectiveness of cash assistance provided by UNHCR and its partners. PDM semi-standardized questionnaires assess the adequacy of cash programmes, and results inform programme changes at the country level in order to improve CBI design and delivery.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Syrian Arab Republic Cash Interventions
  • Time Period of the Dataset [?]: December 01, 2020-January 18, 2021 ... More
    Modified [?]: 18 June 2022
    Dataset Added on HDX [?]: 10 July 2022
    Most refugees live in environments where they have access to markets and services in the same way that local communities do. Providing refugees with cash enables them to fulfil their needs in a dignified manner and contributes to the local economy. UNHCR uses cash-based interventions (CBI) to provide protection, assistance, and services to the most vulnerable. Cash and vouchers help the displaced meet a variety of needs, including access to food, water, healthcare, shelter, that allow them to build and support livelihoods, and to facilitate voluntary repatriation. Refugees, asylum-seekers, internally displaced and other vulnerable populations receive cash assistance through collaborative cash systems in which UNHCR works in close partnership with governments, the private sector, UN agencies, community-based and local partners and development actors. UNHCR started a corporate Post-Distribution Monitoring (PDM) process to review the use and effectiveness of cash assistance provided by UNHCR and its partners. PDM semi-standardized questionnaires assess the adequacy of cash programmes, and results inform programme changes at the country level in order to improve CBI design and delivery.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Syrian Arab Republic Cash Interventions
  • Time Period of the Dataset [?]: February 18, 2021-April 28, 2021 ... More
    Modified [?]: 18 June 2022
    Dataset Added on HDX [?]: 10 July 2022
    Most refugees live in environments where they have access to markets and services in the same way that local communities do. Providing refugees with cash enables them to fulfil their needs in a dignified manner and contributes to the local economy. UNHCR uses cash-based interventions (CBI) to provide protection, assistance, and services to the most vulnerable. Cash and vouchers help the displaced meet a variety of needs, including access to food, water, healthcare, shelter, that allow them to build and support livelihoods, and to facilitate voluntary repatriation. Refugees, asylum-seekers, internally displaced and other vulnerable populations receive cash assistance through collaborative cash systems in which UNHCR works in close partnership with governments, the private sector, UN agencies, community-based and local partners and development actors. UNHCR started a corporate Post-Distribution Monitoring (PDM) process to review the use and effectiveness of cash assistance provided by UNHCR and its partners. PDM semi-standardized questionnaires assess the adequacy of cash programmes, and results inform programme changes at the country level in order to improve CBI design and delivery. This survey regards a winterization distribution.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Syrian Arab Republic Cash Interventions
  • Time Period of the Dataset [?]: April 14, 2020-June 04, 2020 ... More
    Modified [?]: 18 June 2022
    Dataset Added on HDX [?]: 10 July 2022
    Most refugees live in environments where they have access to markets and services in the same way that local communities do. Providing refugees with cash enables them to fulfil their needs in a dignified manner and contributes to the local economy. UNHCR uses cash-based interventions (CBI) to provide protection, assistance, and services to the most vulnerable. Cash and vouchers help the displaced meet a variety of needs, including access to food, water, healthcare, shelter, that allow them to build and support livelihoods, and to facilitate voluntary repatriation. Refugees, asylum-seekers, internally displaced and other vulnerable populations receive cash assistance through collaborative cash systems in which UNHCR works in close partnership with governments, the private sector, UN agencies, community-based and local partners and development actors. UNHCR started a corporate Post-Distribution Monitoring (PDM) process to review the use and effectiveness of cash assistance provided by UNHCR and its partners. PDM semi-standardized questionnaires assess the adequacy of cash programmes, and results inform programme changes at the country level in order to improve CBI design and delivery.
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Syrian Arab Republic Cash Interventions
  • Time Period of the Dataset [?]: December 01, 2020-January 26, 2021 ... More
    Modified [?]: 18 June 2022
    Dataset Added on HDX [?]: 10 July 2022
    Most refugees live in environments where they have access to markets and services in the same way that local communities do. Providing refugees with cash enables them to fulfil their needs in a dignified manner and contributes to the local economy. UNHCR uses cash-based interventions (CBI) to provide protection, assistance, and services to the most vulnerable. Cash and vouchers help the displaced meet a variety of needs, including access to food, water, healthcare, shelter, that allow them to build and support livelihoods, and to facilitate voluntary repatriation. Refugees, asylum-seekers, internally displaced and other vulnerable populations receive cash assistance through collaborative cash systems in which UNHCR works in close partnership with governments, the private sector, UN agencies, community-based and local partners and development actors. UNHCR started a corporate Post-Distribution Monitoring (PDM) process to review the use and effectiveness of cash assistance provided by UNHCR and its partners. PDM semi-standardized questionnaires assess the adequacy of cash programmes, and results inform programme changes at the country level in order to improve CBI design and delivery. This survey regards a distribution of education grants
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Syrian Arab Republic Cash Interventions