United Nations Office for Disaster Risk Reduction (UNISDR)

Global droughts events

500+ Downloads

Updated November 17, 2018 | Dataset date: Jan 1, 1980-Dec 31, 2001

This dataset updates: Never

This dataset includes an estimate of global drought annual repartition based on Standardized Precipitation Index. It is based on two sources: 1) A global monthly gridded precipitation dataset obtained from the Climatic Research Unit (University of East Anglia). 2) A GIS modeling of global Standardized Precipitation Index based on Brad Lyon (IRI, Columbia University) methodology. This product was designed by UNEP/GRID-Europe for the Project of Risk Evaluation, Vulnerability, Information & Early Warning (PreView). It was modeled using global data. Credit: UNEP/GRID-Europe. [Preview this dataset] (http://preview.grid.unep.ch/index.php?preview=data&events=droughts&evcat=1&lang=eng)

Disaster loss and damage dataset for Colombia

United Nations Office for Disaster Risk Reduction (UNISDR)

400+ Downloads

Updated July 16, 2018 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage data for Colombia at several levels of disaggregation

Disaster loss and damage dataset for Sri Lanka

United Nations Office for Disaster Risk Reduction (UNISDR)

400+ Downloads

Updated October 4, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage dataset for Sri Lanka

Disaster loss and damage dataset for Senegal

United Nations Office for Disaster Risk Reduction (UNISDR)

400+ Downloads

Updated October 4, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage dataset for Senegal

Disaster loss and damage dataset for Niger

United Nations Office for Disaster Risk Reduction (UNISDR)

300+ Downloads

Updated October 4, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage dataset for Niger

Disaster loss and damage dataset for Madagascar

United Nations Office for Disaster Risk Reduction (UNISDR)

300+ Downloads

Updated October 4, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage dataset for Madagascar

Disaster loss and damage dataset for Kenya

United Nations Office for Disaster Risk Reduction (UNISDR)

500+ Downloads

Updated October 4, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage dataset for Kenya

Disaster loss and damage dataset for Costa Rica

United Nations Office for Disaster Risk Reduction (UNISDR)

500+ Downloads

Updated October 3, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage data for Colombia at several levels of disaggregation

Disaster loss and damage dataset for Albania

United Nations Office for Disaster Risk Reduction (UNISDR)

400+ Downloads

Updated October 3, 2016 | Dataset date: Oct 1, 2015

This dataset updates: Every year

Disaster loss and damage data for Albania at several levels of disaggregation

Disaster loss and damage data for Cambodia

United Nations Office for Disaster Risk Reduction (UNISDR)

300+ Downloads

Updated October 3, 2016 | Dataset date: Oct 1, 2016

This dataset updates: Every year

Disaster loss and damage data for Cambodia at several levels of disaggregation

GAR15 Global Exposure Dataset for Azerbaijan

United Nations Office for Disaster Risk Reduction (UNISDR)

50+ 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.

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GAR15 Global Exposure Dataset for Bhutan

United Nations Office for Disaster Risk Reduction (UNISDR)

50+ 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 (UNISDR)

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 Saudi Arabia

United Nations Office for Disaster Risk Reduction (UNISDR)

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 French Polynesia

United Nations Office for Disaster Risk Reduction (UNISDR)

50+ 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 (UNISDR)

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 Papua New Guinea

United Nations Office for Disaster Risk Reduction (UNISDR)

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 Puerto Rico

United Nations Office for Disaster Risk Reduction (UNISDR)

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 South Africa

United Nations Office for Disaster Risk Reduction (UNISDR)

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 (UNISDR)

50+ 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 (UNISDR)

50+ 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 (UNISDR)

50+ 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 (UNISDR)

50+ 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 (UNISDR)

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 (UNISDR)

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