Nicaragua

UNOSAT code TC20221014NIC This map illustrates cumulative satellite-detected water using VIIRS in Nicaragua between 12 to 16 October 2022 compared with the period from 27 September to 01 October 2022. Within the cloud free analyzed areas of about 240,000 km², a total of about 3,200 km² of lands appear to be affected. Water extent appears to have increased of about 2,300 km² since the period between 27 September to 01 October 2022. Based on Worldpop population data and the maximal flood water extent ~120,000 people are potentially exposed or living close to flooded areas amongst the 6,570,000 people living in cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

UNOSAT code TC20221014NIC This map illustrates cumulative satellite-detected water using VIIRS in Region Autonoma del Atlantico Norte, Nicaragua between 12 to 16 October 2022 compared with the period from 27 September to 01 October 2022. Within the cloud free analyzed areas of about 30,000 km², a total of about 1,900 km² of lands appear to be affected. Water extent appears to have increased of about 1,400 km² since the period between 27 September to 01 October 2022. Based on Worldpop population data and the maximal flood water extent ~8,500 people are potentially exposed or living close to flooded areas amongst the 29,000 people living in cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

UNOSAT code: TC20201116NIC Este mapa ilustra las inundaciones detectadas por el satélite NOAA-VIIRS en Nicaragua entre el 13 y 17 de Noviembre. Dentro del área analizada de aproximadamente 95,000 km2, un total de aproximadamente 2,000 km2 de tierras parecen estar inundadas. Basado en los datos de población de Worldpop y la extensión de las aguas superficiales detectadas, alrededor de 100,000 personas están potencialmente expuestas o viven cerca de áreas inundadas. La población potencialmente expuesta se encuentra principalmente en el departamento de Chinandega con ~25,000 habitantes, en el departamento de Manague con ~16,000 habitantes, y em el departamento de Atlántico Norte con 10,000 habitantes. Se trata de un análisis preliminar que aún no ha sido validado en el terreno. Por favor envíe comentarios a UNITAR-UNOSAT.

UNOSAT code: TC20201103NIC This map illustrates satellite-detected surface waters in Puerto Cabezas, Prinzapolka and Launa de Perlas Municipality, Nicaragua as observed from Sentinel-1 image acquired on 08 November 2020. Within the analyzed area of about 12,000 km2, a total of about 1,200 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 7,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areasand densely vegetated areas due to backscattering properties of the radar signal.

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.

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.

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for January-March 2013 xx201304_ML2 Most likely food security outcome for April-June 2013 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on May 15, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for April-June 2013 LAC201304_ML2 Most likely food security outcome for July-September 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for October-December 2014 EA201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for October-December 2013 xx201304_ML2 Most likely food security outcome for January-March 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on January 19, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201401_ML1 Most likely food security outcome for January-March 2014 xx201401_ML2 Most likely food security outcome for April-June 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on April 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201404_ML1 Most likely food security outcome for April-June 2014 xx201404_ML2 Most likely food security outcome for July-September 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on September 30, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for July-September 2014 LAC201304_ML2 Most likely food security outcome for October-December 2014 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for October-December 2014 LAC201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on March 31, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for January-March 2015 LAC201304_ML2 Most likely food security outcome for April-June 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on October 08, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for July-September 2015 LAC201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)

This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on July 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for April-June 2015 LAC201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)