Updated December 6, 2019
| Dataset date: Jan 1, 2018-Dec 31, 2018
This dataset updates: Every month
1) Natural disaster events include avalanches, drought, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
Updated December 6, 2019
| Dataset date: Jan 1, 2013-Dec 31, 2013
This dataset updates: Never
1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB).
2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance.
3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
Updated December 1, 2019
| Dataset date: Jan 1, 2019-Nov 6, 2019
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
Updated October 17, 2019
| Dataset date: Oct 4, 2019
This dataset updates: Never
UNOSAT code: EQ20191001IDN This map illustrates satellite based structure damage assessment in the Eastern part of Salahutu District, Indonesia that was affected by the 6.8 magnitude earthquake of the 26th of September 2019 with an epicenter located north of Kamarian in Kairatu District. UNITAR-UNOSAT has identified within the extent of this map 6 potentially damaged structures around Teluhu village in Salahutu District. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap we estimate to less than 1% the total number of structures potentially damaged. Taking into account the type of structural damage and the satellite based damage assessment analysis characteristics and limitations; it is possible that the damage is underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Updated October 17, 2019
| Dataset date: Oct 4, 2019
This dataset updates: Never
UNOSAT code: EQ20191001IDN This map illustrates satellite based structure damage assessment in the Eastern part of Salahutu District, Indonesia that was affected by the 6.8 magnitude earthquake of the 26th of September 2019 with an epicenter located north of Kamarian in Kairatu District. UNITAR-UNOSAT has identified within the extent of this map 17 potentially damaged structures around Waai village in Salahutu District. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap we estimate to less than 2% the total number of structures potentially damaged. Taking into account the type of structural damage and the satellite based damage assessment analysis characteristics and limitations; it is possible that the damage is underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Updated October 17, 2019
| Dataset date: Oct 4, 2019
This dataset updates: Never
UNOSAT code: EQ20190924PAK This map illustrates satellite based structure damage assessment in the southern part of New Mirpur City, Azad Kashmir, Pakistan that was affected by the 5.6 magnitude Mirpur earthquake of the 24th of September 2019 with an epicenter SE of New Mipur City. UNITAR-UNOSAT has identified within the extent of this map 31 potentially damaged structures South of New Mirpur City. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Updated October 17, 2019
| Dataset date: Oct 8, 2019
This dataset updates: Never
UNOSAT code: EQ20190924PAK This map illustrates satellite based structure damage assessment in the Southeastern part of New Mirpur City, Azad Kashmir, Pakistan that was affected by the 5.6 magnitude Mirpur earthquake of the 24th of September 2019 with an epicenter SE of New Mipur City. UNITAR-UNOSAT has identified within the extent of this map 121 potentially damaged structures South of New Mirpur City. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Updated October 17, 2019
| Dataset date: Oct 4, 2019
This dataset updates: Never
UNOSAT code: EQ20190924PAK This map illustrates satellite based building damage assessment in New Mirpur City, Azad Kashmir, Pakistan affected by the 5.6 magnitude Mirpur earthquake of the 24th of September 2019 with an epicenter SE of New Mipur City. UNITAR-UNOSAT identified within the extent of this map 39 potentially damaged structures in New Mirpur City and surroundings. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.
Updated September 11, 2019
| Dataset date: Nov 1, 2017
This data is by request only
This data is the collection of perception of people affected by earthquake in Nepal. The data is collected in 14 district of Nepal which has more than sixty percent of damage level by earthquake in 2015. The total of 2100 people are surveyed in various VDC of the district.
Updated April 16, 2019
| Dataset date: Aug 31, 2015
This dataset updates: Never
This dataset depicts the Health Infrastructure of Nepal as points with 3 word addresses so that whoever is on ground can easily communicate the location of these centres.
Updated April 10, 2019
| Dataset date: Dec 1, 2015-Mar 25, 2019
This dataset updates: Every month
The NRA 5W tool is meant to provide an inventory of activities planned/ongoing/completed by partner organisations (POs) and other stakeholders for the recovery and reconstruction of 14 most affected and 18 moderately affected districts in Nepal in response to the Nepal Earthquake 2015. The datasets entail information on WHAT activities are planned and being implemented by WHO (partner organizations), WHERE the activities are implemented (Municipality/ward level), for WHOM and WHEN.
Updated March 21, 2019
| Dataset date: Jun 1, 2015
This dataset updates: Never
Topline figures dataset for the Nepal Earthquake crisis page.
Figures for Number of People in Need of Assistance are sourced from the UN RCO (Nepal) situation reports.
Updated January 14, 2019
| Dataset date: Jan 1, 2012-Dec 31, 2012
This dataset updates: Never
1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
Updated January 8, 2019
| Dataset date: Sep 30, 2018
This dataset updates: Never
A 6.4 magnitude earthquake has struck off Lombok, province of West Nusa Tenggara, Indonesia which affected the three districts of North Lombok, East Lombok and West Lombok. The dataset contains age-and-sex disaggregated displaced people at sub national level. The dataset, also, has place of origin, needs of the displaced people and camp locations and status.
Updated December 18, 2018
| Dataset date: Jan 1, 2015-Dec 31, 2015
This dataset updates: Never
1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB).
2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance.
3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
Updated November 14, 2018
| Dataset date: Mar 12, 2011
This dataset updates: Never
This is "Flood vectors - Radarsat-2 (12 March 2011)" of the Earthquake analysis for Japan which began on 11 March 2011. It includes 1,082 satellite detected water bodies with a spatial extent of 312.12 square kilometers derived from the Radarsat-2 image a...
Updated November 4, 2018
| Dataset date: Oct 2, 2018
This dataset updates: Live
This map illustrates satellite-detected building damage assessment as of 02 October 2018, over Taipa area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28th of September 2018. The analysis was conducted using a post-event Worldview-2 satellite image acquired 2 October 2018. UNITAR-UNOSAT identified in the analysed area 399 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents 10 % of the total number of structures within this analysed zone of Taipa.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Updated November 4, 2018
| Dataset date: Oct 3, 2018
This dataset updates: Live
This map illustrates satellite-detected building damage assessment as of 02 October 2018, over Pantoloan area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28th of September 2018. The analysis was conducted using a post-event Worldview-2 satellite image acquired 2 October 2018. UNITAR-UNOSAT identified in the analysed area 424 potentially damaged structures.Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 10% of the total number of structures damaged within this analysed zone of Pantoloan. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR – UNOSAT.
Updated November 4, 2018
| Dataset date: Oct 4, 2018
This dataset updates: Live
This map illustrates satellite-detected building damage assessment as of 02 October 2018, over Tawaeli area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28 September 2018. The analysis was conducted using a post event Worldview 2 satellite image acquired 2 October 2018. UNITAR UNOSAT identified in the analysed area 531 potentially damaged structures.Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents 15% of the total number of structures damaged within this analysed zone of Tawaeli. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
