United Nations Office for Disaster Risk Reduction (UNDRR)

GAR15 Global Exposure Dataset for Turks and Caicos Islands

70+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Sao Tome and Principe

United Nations Office for Disaster Risk Reduction (UNDRR)

70+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for South Sudan

United Nations Office for Disaster Risk Reduction (UNDRR)

90+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for San Marino

United Nations Office for Disaster Risk Reduction (UNDRR)

60+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for El Salvador

United Nations Office for Disaster Risk Reduction (UNDRR)

80+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Sierra Leone

United Nations Office for Disaster Risk Reduction (UNDRR)

80+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Solomon Islands

United Nations Office for Disaster Risk Reduction (UNDRR)

80+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Virgin Islands (British)

United Nations Office for Disaster Risk Reduction (UNDRR)

70+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Virgin Islands (U.S.)

United Nations Office for Disaster Risk Reduction (UNDRR)

70+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Viet Nam

United Nations Office for Disaster Risk Reduction (UNDRR)

90+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for South Africa

United Nations Office for Disaster Risk Reduction (UNDRR)

100+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Puerto Rico

United Nations Office for Disaster Risk Reduction (UNDRR)

90+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Papua New Guinea

United Nations Office for Disaster Risk Reduction (UNDRR)

100+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Palestine, State of

United Nations Office for Disaster Risk Reduction (UNDRR)

100+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for French Polynesia

United Nations Office for Disaster Risk Reduction (UNDRR)

70+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Saudi Arabia

United Nations Office for Disaster Risk Reduction (UNDRR)

100+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Russian Federation

United Nations Office for Disaster Risk Reduction (UNDRR)

100+ Downloads

Updated September 27, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Bhutan

United Nations Office for Disaster Risk Reduction (UNDRR)

70+ Downloads

Updated January 29, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

GAR15 Global Exposure Dataset for Azerbaijan

United Nations Office for Disaster Risk Reduction (UNDRR)

80+ Downloads

Updated January 29, 2016 | Dataset date: Dec 31, 2015

This dataset updates: Never

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

zipped shapefile

Disaster Loss Data for Ethiopia

United Nations Office for Disaster Risk Reduction (UNDRR)

400+ Downloads

Updated January 4, 2016 | Dataset date: Dec 31, 2013

This dataset updates: Never

Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event

Disaster Loss Data for Indonesia

United Nations Office for Disaster Risk Reduction (UNDRR)

2100+ Downloads

Updated January 4, 2016 | Dataset date: Dec 31, 2013

This dataset updates: Never

Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event

Disaster Loss Data for Madagascar

United Nations Office for Disaster Risk Reduction (UNDRR)

300+ Downloads

Updated January 4, 2016 | Dataset date: Dec 31, 2013

This dataset updates: Never

Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event

Disaster Loss Data for Togo

United Nations Office for Disaster Risk Reduction (UNDRR)

400+ Downloads

Updated January 4, 2016 | Dataset date: Dec 31, 2013

This dataset updates: Never

Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event

Disaster Loss Data for Senegal

United Nations Office for Disaster Risk Reduction (UNDRR)

200+ Downloads

Updated January 4, 2016 | Dataset date: Dec 31, 2013

This dataset updates: Never

Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event

Disaster Loss Data for Niger

United Nations Office for Disaster Risk Reduction (UNDRR)

500+ Downloads

Updated January 4, 2016 | Dataset date: Dec 31, 2013

This dataset updates: Never

Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event