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Colombia
People in need of humanitarian assistance
OCHA - Data - 2017
5.8 million
Humanitarian funding received
Colombia 4W - Data - 2016
$ 45.1 million
Number of IDPs
UARIV/OCHA - Data - 2015
224,324
People affected by natural disasters
UNGRD - Data - 2014
1.2 million
Number of Internally Displaced People
Info
People with access constraints
OCHA - Data - 2014
589,900
Homicide rate
DIJIN - Data - 2016
2,474,000 per 100k
Population
World Bank - Data - 2013
48.3 million
GDP per capita
World Bank - Data - 2013
$ 12,371
Number of People with Access Constraints
Info
Data [259] Show
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  • Colombia - Requirements and Funding Data
    OCHA FTS
    Updated September 19, 2017 | Dataset date: Sep 19, 2017
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    • CSV
    • 60+ Downloads
    • This dataset updates: Every day
  • Topline Colombia Figures
    HDX
    Updated September 14, 2017 | Dataset date: Dec 3, 2014
    Collection of topline figures about Colombia.
    • CSV
    • 10+ Downloads
    • This dataset updates: Every month
  • HOTOSM Colombia Waterways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated September 6, 2017 | Dataset date: Sep 1, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • HOTOSM Colombia Buildings (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated September 6, 2017 | Dataset date: Sep 1, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • HOTOSM Colombia Points of Interest (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated September 6, 2017 | Dataset date: Sep 1, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • HOTOSM Colombia Roads (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated September 6, 2017 | Dataset date: Sep 1, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Colombia - Population
    WorldPop
    Updated September 6, 2017 | Dataset date: Jan 1, 2015
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • Colombia - Internally displaced persons - IDPs
    Internal Displacement Monitoring Centre (IDMC)
    Updated September 6, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2016
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's data portal.
    • JSON
    • This dataset updates: Every day
  • Colombia - Health Indicators
    HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • This dataset updates: Every year
  • Topline Indicators
    HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 2011-Dec 31, 2016
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • This dataset updates: Every year
  • Colombia - Economic and Social Indicators
    HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1960-Dec 31, 2016
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • This dataset updates: Every year
  • Perceptions of Zika in the Americas
    RIWI Corp.
    Updated August 29, 2017 | Dataset date: Jan 29, 2016-Aug 4, 2016
    Within 24 hours of the World Health Organization declaring the Zika virus a global health emergency, RIWI began a study in 9 countries across the Americas capturing over 30,000 respondents. Data collection targeted respondents' knowledge of Zika virus transmission mechanisms and confidence in government health agencies to treat and contain the epidemic. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • Global Food Prices Database (WFP)
    WFP - World Food Programme
    Updated July 26, 2017 | Dataset date: Jul 24, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 800+ Downloads
    • This dataset updates: Every month
  • Colombia - Administrative Boundaries (levels 0 - 2)
    OCHA ROLAC
    Updated July 17, 2017 | Dataset date: Jan 1, 2009
    Admin COD datasets endorsed by OCHA Colombia on December 2015; see metadata for description of cleaning and processing performed by ITOS. Colombia Administrative Boundaries Level 0 (Colombia), Level 1 (Departments), Level 2 (Municipalities) This dataset contains a link to GeoNode Colombia and a zipped file. Colombia Admin Level 2 Boundaries
  • Colombia - Building Damage Assessment in the city of Mocoa
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated April 28, 2017 | Dataset date: Apr 12, 2017
    Following a large mudflow that hit the city of Mocoa (Department of Putumayo, Colombia) on 31 March 2017 as a consequence of the heavy rains, the International Charter Space and Major Disasters has been activated upon the request of the National Unit for Disaster Risk Management (UNGRD) / Unidad Nacional para la Gestion del Riesgo de Desastres, IDEAM. In response to this emergency, UNITAR-UNOSAT has carried out satellite based damage analysis to assess (visible) building structural damage caused by mudflows. This map illustrates satellite-detected damaged structures including building damage density in Mocoa city and its surroundings. Analysis has been undertaken by using post satellite imagery acquired by Pleiades and Geoeye-1 satellites on the 7 and 10 April 2017 and pre satellite images acquired by Worldview-2 & 1 satellites on the 21 December 2016 and 26 December 2013. As result of UNOSAT satellite analysis, a total of 1,082 buildings were detected as damaged of which 736 observed as destroyed or washed out by mudflow and 346 observed as severely damaged. Due to the pronounced incident angle and cloud cover of the satellite images, UNITAR-UNOSAT has also used orthophotos collected by Corpoamazonia in order to validate satellite based analysis. Orthophotos and additional baseline data were provided by OSM Humanitarian Mapping Unit and UMAIC (Unidad de Manejo y Analisis de Informacion de Colombia) who is also providing information management coordination support for this event. Kindly note that the number of damaged structures could have been underestimated due to the parameters of the images. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Colombia - Satellite detected potentially affected zones by the mudflow in Mo...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated April 28, 2017 | Dataset date: Apr 7, 2017
    This map illustrates satellite-detected water bodies and inundated areas in Mocoa city, Putumayo department in Colombia as seen on Resourcesat-2 satellite imagery collected 04 April 2017. Heavy rainfall in the area caused flooding, landslides and mudflow that affected the city. UNOSAT extracted a water index from the satellite image to determine areas of standing water as well as soils with varying levels of water content (i.e. mud). Within the city of Mocoa and the current map extent, about 18 km of roads are potentially affected. About 2900 buildings are within areas which experienced floods and mudflow. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • Colombia - Potentially Affected Zones by the Mudflow in Mocoa
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated April 28, 2017 | Dataset date: Apr 13, 2017
    This map illustrates areas potentially affected by the mudflow, extracted from a Pleiades and GeoEye-1 satellite images acquired on the 10 April 2017 over Mocoa city and its outskirts, in Putumayo Department, Colombia. Inside some neighbourhoods of the city of Mocoa, flood waters and mudflow have receded compared with previous analysis performed by UNOSAT using an image from 4 April 2017. The situation as of 10 April 2017 reveals: 22 km of roads seem potentially affected and about 1,300 buildings are within areas which are still experiencing floods and mud flow. It is likely that flood waters and mudflow could have been systematically under or overestimated along highly vegetated areas and within built-up urban areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Análisis de edificaciones visualmente dañadas en la ciudad de Mocoa, Colombia
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated April 27, 2017 | Dataset date: Apr 13, 2017
    Posterior al deslizamiento de tierra que sembró el caos en la ciudad de Mocoa (Departamento de Putumayo, Colombia) el 31 de marzo de 2017 como consecuencia de las fuertes lluvias, el International Charter Space & Major Disasters fue activado bajo la petición de la Unidad Nacional para la Gestión del Riesgo de Desastres, IDEAM. En respuesta a la emergencia, UNITAR-UNOSAT ha llevado a cabo análisis visible de daño en las edificaciones causado por el deslizamiento de tierra, usando imágenes satelitales de alta resolución. Este mapa ilustra edificaciones dañadas detectadas en imágenes satelitales y la densidad de daño asociada en la ciudad de Mocoa y sus alrededores. El análisis ha sido conducido utilizando como imágenes post emergencia las adquiridas por los satélites Pleiades y GeoEye-1 el 7 y el 10 de abril de 2017 y como imágenes pre emergencia las adquiridas por los satélites WorldView-2 y WorldView-1 en las fechas del 21 de diciembre de 2016 y 26 de diciembre de 2013. El resultado del análisis conducido por UNOSAT revela un total de 1,082 edificaciones dañadas, de las cuales 736 aparecen como destruidas en la imagen o arrastradas por el deslizamiento de tierra y 346 presentan daño severo. Debido al acusado ángulo y la cobertura de nubes de las imágenes satelitales, UNITAR-UNOSAT ha utilizado orthophotos colectadas por Corpoamazonia como fuente auxiliar de validación del análisis realizado con las imágenes satélites. Las orthophotos y otros datos secundarios fueron provistos por OpenStreetMap & la Unidad de Mapeo Humanitario y UMAIC (Unidad de Manejo y Análisis de Información de Colombia), quienes también han provisto apoyo en la coordinación y gestión de la información durante esta emergencia. Por favor, note que el número de estructuras dañadas ha podido ser infra-estimado como consecuencia de los parámetros de las imágenes satelitales utilizadas. Este es un análisis preliminar que aún no ha sido validado en el terreno. Por favor, envíen sus comentarios a UNITAR-UNOSAT.
  • Estadísticas de flujos migratorios en la frontera Colombo - Venezolana
    Unidad de Manejo y Análisis de Información Colombia
    Updated April 17, 2017 | Dataset date: Jan 1, 2012-Feb 28, 2017
    Reporte Estadístico de Flujos migratorios en la FRONTERA COLOMBO - VENEZOLANA. Datos 2012 - 2016
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every three months
  • Restricciones de acceso
    OCHA Colombia
    Updated March 27, 2017 | Dataset date: Jan 1, 2014-Dec 31, 2016
    Desde 2013, la oficina de OCHA en Colombia inició el monitoreo sistemático de las limitaciones al acceso humanitario. El desarrollo de hostilidades, la contaminación por armas, las restricciones impuestas por grupos armados, los bloqueos de vías y alteraciones de seguridad en el marco de protestas sociales, o las condiciones geográficas y logísticas, pueden impedir o limitar la movilidad de comunidades y por tanto restringir su capacidad para acceder a asistencia, bienes y servicios básicos.
    • CSV
    • 100+ Downloads
    • This dataset updates: Every three months
  • Colombia - Tasa de Homicidios
    OCHA Colombia
    Updated March 24, 2017 | Dataset date: Jan 1, 2005-Dec 31, 2016
    De acuerdo con el Glosario Policial, el homicidio en general, se puede definir como matar a un ser humano; la acción es matar; el resultado material tipificado es la muerte. Es un delito instantáneo que se consuma en el momento de producirse la muerte de la víctima.
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • Colombia - Priorización HNO en Soluciones Duraderas
    OCHA Colombia
    Updated March 16, 2017 | Dataset date: Jan 1, 2016-Dec 31, 2016
    El HNO hace referencia al Humanitarian Needs Overview o en español un diagnóstico de las necesidades humanitarias. La herramienta adaptada al contexto del país incluye temas de soluciones duraderas, construcción de paz y desarrollo. El HNO analiza las dimensiones humanitarias, describe la situación e identifica las necesidades humanitarias prioritarias. Tiene un enfoque particular en un análisis inter-sectorial de las necesidades, asegurando así mismo un enfoque diferencial de género, edad y pertenencia étnica dentro del análisis y prioridades. Se basa sobre la información derivada de los datos secundarios, evaluaciones multi-sectoriales y sectoriales, información de monitoreo y conocimiento de expertos en las distintas áreas temáticas. El HNO en Colombia involucra actores a nivel nacional y local. Desde el nivel nacional, los clústers incluyen indicadores de fuentes secundarias, mientras que los Equipos Locales de Coordinación hacen un análisis de las necesidades humanitarias, soluciones duraderas y construcción de paz y desarrollo. La Unidad de Manejo y Análisis de Información Colombia (UMAIC) compila los datos de afectación humanitaria, los resultados de los indicadores por sector y las priorizaciones geográficas de los Equipos Locales de Coordinación. Estos últimos fueron el resultado de talleres regionales realizados en el marco de los ELC, que buscaron la identificación de municipios con necesidades humanitarias, oportunidades en soluciones duraderas y dificultades de construcción de paz, todo esto teniendo en cuenta la afectación reciente en los últimos tres años y pensando en perspectivas de la situación en 2017. Entre los resultados de necesidades humanitarias en 2017, presentados en el taller nacional del 04 de octubre, se identificaron 188 municipios, ubicados en quince departamentos, clasificados en categoría alta y media alta, zonas que coinciden con la presencia de los Equipos Locales de Coordinación.
    • XLS
    • 90+ Downloads
    • This dataset updates: Never
  • Colombia - Humanitarian Needs Overview
    OCHA Colombia
    Updated March 16, 2017 | Dataset date: Dec 31, 2015
    Herramienta de priorización geográfica del Humanitarian Needs Overview (HNO) 2015. La matriz de necesidades fue construida a partir de indicadores humanitarios sectoriales; priorización según los Equipos Humanitarios Locales (EHL)
    • XLSX
    • XLS
    • 200+ Downloads
    • This dataset updates: Every three months
  • Colombia - SIDIH Humanitarian Needs Overview
    OCHA Colombia
    Updated March 16, 2017 | Dataset date: Jan 1, 2013-Dec 31, 2013
    Puntaje obtenido del Humanitarian Needs Overview. Calculado a partir de indicadores humanitarios clave por clúster e indicadores de caseload. Representa un puntaje de 0 a 5 en términos de necesidades, donde cero (0) es el departamento que menores necesidades humanitarias tiene, mientras que cinco (5) representa el departamentos que cuenta con mayores necesidades.
    • CSV
    • 10+ Downloads
    • This dataset updates: Every six months
  • Colombia - unicipios Priorizados Humanitarian Needs Overview
    OCHA Colombia
    Updated March 16, 2017 | Dataset date: Oct 5, 2015
    Encuentre el resultado de los municipios priorizados del ejercicio del HNO 2016. En cada pestaña se encuentra el resultado por clúster
    • CSV
    • XLSX
    • 400+ Downloads
    • This dataset updates: Every year