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  • 200+ Downloads
    Updated 27 December 2018 | Dataset date: December 27, 2018-December 27, 2018
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations and spontaneous IDP returns for November 2018, January 2016-November 2018 summary and table shows origin to destination estimation by governorate for November 2018.
  • 200+ Downloads
    Updated 20 November 2018 | Dataset date: November 20, 2018-November 20, 2018
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations and spontaneous IDP returns for October 2018, January 2016-October 2018 summary and table shows origin to destination estimation by governorate for October 2018.
  • 100+ Downloads
    Updated 31 October 2018 | Dataset date: October 31, 2018-October 31, 2018
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations and spontaneous IDP returns for September 2018, January 2016-September 2018 summary and table shows origin to destination estimation by governorate for September 2018.
  • 5500+ Downloads
    Updated 23 August 2021 | Dataset date: January 01, 2019-June 30, 2021
    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.
  • 30+ Downloads
    Updated Live | Dataset date: November 28, 2017-November 28, 2017
    This dataset updates: Live
    This map illustrates density of satellite-detected shelters and other buildings at the Atmeh Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 14,569 shelters were detected as well as 217 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 88% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 7,684 and the number of infrastructure and support buildings was 171 within the same area. The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated Live | Dataset date: November 28, 2017-November 28, 2017
    This dataset updates: Live
    This map illustrates density of satellite-detected shelters and other buildings at the Qah Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 18,547 shelters were detected as well as 333 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 73% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 10,898 and the number of infrastructure and support buildings was 48 within the same area.The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 200+ Downloads
    Updated 28 December 2018 | Dataset date: October 01, 2018-October 01, 2018
    This dataset updates: As needed
    The IMU of the ACU, issues its fourth edition of the “Winter Needs in the Northern Syrian Camps” report, addressing 234 camps in the governorates of Aleppo and Idleb. The report brings to light the most important items that IDPs are in need for in terms of type and quantities, according to international standards for humanitarian response. It furthermore, brings emphasis to bear on the course of action that IDPs, as well as the camp management teams, should follow to drive down the effects of natural disasters that may put their lives at risk. Noting that the number of families that ACU enumerators were able to assess their needs reached 46,145 families, making up an overall individual number of 252,052 IDPs
  • 200+ Downloads
    Updated 6 January 2020 | Dataset date: December 25, 2019-December 27, 2019
    This dataset updates: As needed
    Findings presented in this data set are based on data collected by REACH as part of a rapid camps and sites assessment to provide insight on: How many new IDP arrivals are arriving to camps, informal settlements, collective centres, or transit reception centres reported at the site level since Dec. 18th Movement intentions of the new IDP arrivals in the coming two weeks Identify priority needed items by sector of the new IDP arrivals. Data was collected in 150 communities across eight sub-districts in Northern Idleb and Western Aleppo from 25 to 27 December 2019 through REACH enumerators who surveyed one Key Informant (KI) per community on internally displaced persons' (IDPs) camps and sites nearest to their community. In order to qualify as camp or site, a site had to have 5 or more IDP households living on its premises. 1,253 camps and sites were assessed across 150 communities. IDP numbers solely represent newly arrived IDPs (5 or more HH) to planned camps, informal settlements, collective centres, and transit reception centres, and do not account for total camp or site IDP populations or IDPs within the host communities. The definition of IDPs used by enumerators for this assessment was ‘Individuals or groups of people who have been forced to leave their homes or places of habitual residence, in particular as a result of or in order to avoid the effects of armed conflict, situations of generalised violence, violations of human rights, or natural or man-made disasters, and who have not crossed an international border'. The definition of planned camp was 'A planned camp is a place where IPDs find accomodation on purpose-built sites, where service infrastructure is provided and distribution take place. The camp is established by an accountable humanitarian actor and to the extent possible, meet the minimum SPHERE standards'. The definition of informal settlements was 'Otherwise known as a self-settled camp or a spontaneous site, hosting 5 or more IDP households. IDPs may settle in a camp that is independent of assistance from the government or humanitarian community. They are a group of tented, or other types of housing units, or unfinished buildings established by IDPs themselves or by non-experienced actors, often erected on land that the occupants have no legal claim to. IDPs intend to stay in this location for an extended period of time. At the moment, most of the so-called IDP camps in Syria fall under this category. ' The definition of collective centres was 'A pre-existing building or other structure used to host 5 or more IDP households, e.g. public buildings, schools, mosques, private collective building' The definition of transit reception centres was 'Otherwise known as transit camps, they provide temporary accomodation for displaced persons pending transfer to a suitable, safe, longer term camp, or at the end of an operation as a staging point of return. Reception/transit centres are usually either intermediate or short-term installations. These sites are often established during extremely large displacements.' Information should be considered as reflective of the situation at the time of data collection, given the dynamic situation in the region. In addition, information should be considered as indicative, and not representative, of the situation.
  • 4600+ Downloads
    Updated 28 September 2021 | Dataset date: June 01, 2017-October 22, 2021
    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).
  • 800+ Downloads
    Updated 3 October 2021 | Dataset date: June 01, 2020-October 22, 2021
    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
  • 60+ Downloads
    Updated 19 January 2017 | Dataset date: January 17, 2017-January 17, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in a portion of the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 06 July and 30 June 2016, 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,968 affected structures, of which 4,969 were destroyed, 345 severely damaged, and 654 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated 19 January 2017 | Dataset date: January 17, 2017-January 17, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,224 affected structures, of which 4,664 were destroyed, 215 severely damaged, and 345 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated 19 January 2017 | Dataset date: January 17, 2017-January 17, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 06 July and 30 June 2016, 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,968 affected structures, of which 4,969 were destroyed, 345 severely damaged, and 654 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 60+ Downloads
    Updated 9 January 2017 | Dataset date: January 03, 2017-January 03, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 60+ Downloads
    Updated 20 July 2017 | Dataset date: June 12, 2017-June 12, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 07 February and 06 January 2017, 19 April 2016, 04 June 2015, 01 January 2014, and 07 September 2013, UNITAR - UNOSAT identified a total of 1,503 affected structures within the city. Approximately 224 of these were destroyed, 498 severely damaged, and 781 moderately damaged. While some of the city was damaged by 19 April 2016, 419 structures were newly damaged and 7 structures experienced an increase in damage between that date and 07 February 2017. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 100+ Downloads
    Updated 19 February 2016 | Dataset date: February 18, 2016-February 18, 2016
    This dataset updates: Never
    This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Based on this analysis, in 12 neighborhoods the number of damaged buildings is more than 20%, and the neighborhood with the most damage is al Aqabeh, with 42,53% of buildings damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated 24 June 2016 | Dataset date: June 09, 2016-June 09, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of damage in the town of Al Quaryatayn, Homs Governorate, Syria. Using Pleiades satellite imagery acquired 07 May 2016 and 20 August 2010 WorldView-2 imagery as a reference, UNITAR-UNOSAT identified a total of 616 potentially damaged structures. Approximately 79 of these were destroyed, 190 severely damaged, 256 moderately damaged, and 91 possibly damaged. Additionally, a total of 11 impact craters were observed. Due to cloud obstruction, an underestimation of damage is possible. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated 10 August 2015 | Dataset date: February 11, 2015-February 11, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in a portion of the city of Kobane, Aleppo Governorate, Syria. Using satellite imagery acquired 22 January 2015 and 06 September 2014, UNITAR / UNOSAT identified a total of 3,167 affected structures within the area of this map. Approximately 1,167 of these were destroyed, 1,155 severely damaged, and 845 moderately damaged. The city-wide analysis of Kobane revealed a total of 3,247 affected structures, of which 1,206 were destroyed, 1,169 severely damaged, and 872 moderately damaged. A total of 979 impact craters were also identified within Kobane and its immediate surroundings. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 20+ Downloads
    Updated 19 January 2017 | Dataset date: January 17, 2017-January 17, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 16 April 2016, 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 1180 affected structures, of which 217 were destroyed, 400 severely damaged, and 563 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 04 June 2015 and 190 structures are newly damaged. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated 19 January 2017 | Dataset date: January 17, 2017-January 17, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 990 affected structures, of which 152 were destroyed, 358 severely damaged, and 480 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 1 May 2014 and approximately 618 structures are newly damaged. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated 9 January 2017 | Dataset date: January 06, 2017-January 06, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated 9 January 2017 | Dataset date: January 06, 2017-January 06, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 06 April 2015, 02 May 2014, 15 September 2013, and 22 March 2010 UNITAR - UNOSAT identified a total of 545 affected structures within the city. Approximately 176 of these were destroyed, 180 severely damaged, and 189 moderately damaged. While much of the city was damaged by 02 May 2014, 249 structures were newly damaged and 5 structures experienced an increase in damage between that date and 06 April 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 100+ Downloads
    Updated 19 December 2016 | Dataset date: December 16, 2016-December 16, 2016
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Aleppo, Syrian Arab Republic. Satellite imagery acquired 18 September 2016, 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010 was analyzed. UNITAR - UNOSAT identified a total of 35,722 affected structures, of which 4,773 were destroyed, 14,680 severely damaged, and 16,269 moderately damaged, as of 18 September 2016. This represents an increase of approximately 154.5% in total damage since the previous UNITAR-UNOSAT analysis done using images from 1 May 2015 and 26 April 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. It is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 80+ Downloads
    Updated 18 February 2016 | Dataset date: February 18, 2016-February 18, 2016
    This dataset updates: Never
    This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 100+ Downloads
    Updated 6 June 2017 | Dataset date: May 05, 2017-May 05, 2017
    This dataset updates: Never
    This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-2 satellite on 04 May 2017, UNOSAT located 1,396 probable shelters. This is a 10% decrease in shelters since the previous UNOSAT analysis done using an image collected 04 March 2017 and a 28% decrease since the 14 May 2016 analysis. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.