Honduras

Key Figures
Data [153]
  • Updated May 18, 2018 | Dataset date: May 18, 2018
    El indicador presenta la población anual promedio afectada por sequía, según registros históricos del 2000-2015, en la base de datos DesInventar y para el evento del sequia del 2015 realizado por el Comité Interinstitucional de Gestión de Riesgo por Sequía.
    90+ Downloads
    This dataset updates: Every year
  • Updated May 18, 2018 | Dataset date: May 18, 2018
    El indicador estima la población expuesta que habita en zonas propensa a deslizamientos, en base al Mapa de Susceptibilidad a Movimientos de Laderas. El resultado es la composición de capas de las zonas con una amenaza alta o muy alta y el total de la población que habita sobre dicha área.
    70+ Downloads
    This dataset updates: Every year
  • Updated May 18, 2018 | Dataset date: May 18, 2018
    El indicador estima la población expuesta que habita en áreas con amenaza alta en base al Mapa de Amenaza por Mareas y Marejadas. El resultado es la composición de capas de las zonas con una amenaza alta y el total de la población que habita sobre dicha área, resalta el hecho de ser una amenaza recurrente de forma anual en las costas de pacifico. El indicador se basa en la calidad de información del Mapa de Mareas Marejadas, se requiere una reflexión adicional entre la población bajo amenaza alta y el recuento histórico que registra 7,844 afectados o damnificados desde el 1965 al 2010.
    100+ Downloads
    This dataset updates: Every year
  • Updated May 18, 2018 | Dataset date: May 18, 2018
    El indicador estima la población expuesta que habita en áreas con amenaza alta en base al Mapa de Amenaza por Ciclones resultado de la integración de 29 mapas de los ciclones que han afectado en territorio desde 1970 al 2010, incluyendo los huracanes Fifi y el Mitch. El resultado es la composición de capas de las zonas con una amenaza alta y el total de la población que habita sobre dicha área.
    80+ Downloads
    This dataset updates: Every year
  • El indicador representa la población anual promedio que pueda ser afectada, desaparecida, herida, muerta, reubicada, víctima o evacuada por inundaciones, según registros históricos en la base de datos DesInventar durante el periodo de 1995-2015.
    80+ Downloads
    This dataset updates: Every year
  • Updated May 18, 2018 | Dataset date: May 18, 2018
    El indicador estima la población anualmente expuesta que habita en áreas con amenaza sísmica en base al Mapa de Amenaza de Sismos resultado del “análisis de máxima aceleración del suelo para un periodo de retorno de 500 años que representa la máxima aceleración horizontal del suelo esperada para los próximos 50 años- IHCIT,2012”. El resultado es la composición de capas de las zonas con una amenaza alta o muy alta y el total de la población que habita sobre dicha área.
    100+ Downloads
    This dataset updates: Every year
  • Asylum applications of venezuelans in the Americas and Europe during 2014-2017.
    100+ Downloads
    This dataset updates: Every six months
  • Updated January 17, 2018 | Dataset date: Dec 31, 2016
    Cumulative cases of chikungunya, dengue and zika at municipal level in 2016.
    300+ Downloads
    This dataset updates: Every year
  • Updated December 14, 2017 | Dataset date: Dec 31, 2015
    Homicide rates per 100.000 inhabitants according to municipalities January-December year 2015
    700+ Downloads
    This dataset updates: Every year
  • Updated February 17, 2017 | Dataset date: Aug 1, 2014-Dec 31, 2014
    Caracterización de población desplazada debido a la criminalidad en centros urbanos de Honduras (20 municipios). Información de 1,300 hogares desplazados internos y 838 hogares de comparación (no desplazados). Ejercicio liderado por la Comisión Interinstitucional para la Protección de las Personas Desplazadas por la Violencia (Honduras), con el apoyo del INE (Honduras), ACNUR y JIPS. La información puede ser analizada fácilmente en el DART: http://www.dart.jips.org/.
    200+ Downloads
    This dataset updates: Never
  • This data is a global overview on Zika Virus.
    900+ Downloads
    This dataset updates: Every two weeks
  • Epidemiological update on Zika Virus, week of 15 September 2016
    600+ Downloads
    This dataset updates: Never
  • Updated June 21, 2016 | Dataset date: Apr 21, 2016
    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.
    500+ Downloads
    This dataset updates: Every three months
  • 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.
    100+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Dec 31, 2010
    Organización territorial de la Región 03. Incluye Listado de municipios, código municipal, datos estadísticos, proyección de asentamientos humanos al 2015 y shapefiles.
    600+ Downloads
    This dataset updates: Every year
  • Updated November 24, 2015 | Dataset date: Dec 31, 2010
    Organización territorial de la región 02, incluye municipios con su códigol y departamento. No. de municipios, aldeas, carreteras, población, centros de salud; Proyección de Asentamientos Humanos al 2015 Región y sus respectivos shapefiles
    700+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Dec 31, 2010
    Organización territorial de la Región 01. Incluye Listado de municipios, código municipal, datos estadísticos, proyección de asentamientos humanos al 2015 y shapefiles
    800+ Downloads
    This dataset updates: Never
  • 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)
    10+ Downloads
    This dataset updates: Never
  • 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)
    10+ Downloads
    This dataset updates: Never
  • 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 dataset updates: Never
  • 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 dataset updates: Never
  • 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 dataset updates: Never
  • 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 dataset updates: Never
  • 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 dataset updates: Never
  • 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)
    20+ Downloads
    This dataset updates: Never