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  • Updated January 31, 2019 | Dataset date: Sep 15, 2017
    This dataset updates: Every year
    MIMU Pcode is similar to a zip code or postal code, and is a part of a data management system providing unique reference codes to around 67,000 locations across Myanmar. The MIMU maintains the P-codes for Myanmar based on information collected from a variety of sources, including the Government gazette and humanitarian and development organizations. Without a system for organizing such data it is almost impossible for data from more than one source to be combined.
  • 200+ Downloads
    Updated January 29, 2019 | Dataset date: Jan 1, 2012-Dec 31, 2012
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 300+ Downloads
    Updated December 31, 2018 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 200+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: Every year
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 200+ Downloads
    Updated September 12, 2018 | Dataset date: Jan 1, 2005-Dec 31, 2013
    This dataset updates: Never
    Colección de indicadores (directos y proxy) sobre vulnerabilidades, amenazas y capacidades de respuesta a principales riesgos por desastres naturales o emergencias complejas que afectan a niñas, niños y adolescentes.
  • 2500+ Downloads
    Updated May 1, 2018 | Dataset date: Jul 1, 2016
    This dataset updates: Every year
    Administrative boundaries for Chad. Level 0 : Country Level 1 : Regions Level 2 : Departements Level 3 : Sous préfectures (tabular data available for the entire country, shapefile available only for the Lac region) All admin datasets have been endorsed by the AIMWG on the 11 May 2017.
  • 600+ Downloads
    Updated March 16, 2017 | Dataset date: Dec 31, 2015
    This dataset updates: Every three months
    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)
  • 200+ Downloads
    Updated March 16, 2017 | Dataset date: Oct 31, 2014
    This dataset updates: Never
    The humanitarian needs overview (HNO) promotes a shared understanding of the impact and evolution of a crisis within the humanitarian country team (HCT) and informs strategic response planning. This ensures that credible evidence and a joint analysis of needs underpins an effective and targeted humanitarian response. Following indicators were identified during the 2015 HNO process for South Sudan Theme 01: Conflict Protection Displaced Population - Conflict Displacement Count - Access to Markets - % Health care facilities affected - # of Schools Occupied by IDPs and/or Armed Forces - # of people per water source Theme 02: Malnutrition - Nutrition Classification(GAM) Theme 03 - Death, Injury and Disease - Disease Outbreak - # of Functioning health care facilities/pop. - IPC - Conflict Displacement Count - # of people per water source Theme 04 - Food Security and Livelihood - IPC
  • 600+ Downloads
    Updated January 26, 2017 | Dataset date: May 31, 2015
    This dataset updates: Every three months
    The dataset highlights the number of IDPs in Mali by region from Sep '12 - Dec'14.
  • 400+ Downloads
    Updated July 17, 2016 | Dataset date: Jan 19, 2014-Dec 31, 2014
    This dataset updates: Never
    Assessment Status by IDP Site
  • 200+ Downloads
    Updated June 2, 2016 | Dataset date: Jan 1, 2015-Jun 30, 2015
    This dataset updates: Never
    El infograma es producido semestralmente desde 2006, usando información proveniente de la Unidad para la Atención y Reparación Integral a Victimas (UARIV), Dirección para la Acción integral contra minas Antipersonal (DAICMA), la Unidad Nacional para La Gestión del Riesgo de Desastres UNGRD, la Dirección de Policía Judicial (DIJIN), el Instituto Nacional de Medicina Legal (INML), Oficina para la coordinación de asuntos humanitarios (OCHA) y Fondo Internacional de Emergencia de las Naciones Unidas para la Infancia (UNICEF). Analizar tendencias en las diferentes situaciones humanitarias hace parte del principal objetivo del Infograma de Situación Humanitaria. Este documento presenta mapas, gráficas y estadísticas que reflejan la situación humanitaria en Colombia. Permite al usuario analizar nacionalmente las tendencias de fenómenos como el desplazamiento interno, Minas anti personal y munición sin explotar, desastres naturales, homicidios, desaparecidos y el Índice de Riesgo de la Situación Humanitaria.
  • 600+ Downloads
    Updated May 10, 2016 | Dataset date: Feb 1, 2014-Dec 1, 2014
    This dataset updates: Every three months
    Who What Where (3W) related to ongoing humanitarian activities in South Sudan Who - Agency What - Related Cluster of the given activity Where - Location of the activity (State and County)
  • 700+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2012-Dec 31, 2015
    This dataset updates: Every three months
    Resguardos indígenas en 2012
  • 400+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2006-Jan 1, 2012
    This dataset updates: Never
    City and municipal-level poverty estimates for 2012, 2009, and 2006 2012 City and Municipal-Level Small Area Poverty Estimates Source: Philippine Statistics Authority, through a national government funded project on the generation of the 2012 small area estimates on poverty http://www.nscb.gov.ph/announce/2014/PSA-NSCB_2012MunCity_Pov.asp Note: Region V, Sorsogon, Bacon is in 2006 and 2009 data but not the 2012 data. According to Wikipedia, Sorgoson City was formed by merging the Bacon and Sorsogon towns. City and Municipal-Level Poverty Estimates; 2006 and 2009 Source: NSCB/World Bank/AusAID Project on the Generation of the 2006 and 2009 City and Municipal Level Poverty Estimates http://www.nscb.gov.ph/poverty/dataCharts.asp PDF download Note: The 2009 city and municipal level poverty estimates for ARMM were revised to reflect on the movement/creation of municipalities and barangays which were not considered in the preliminary estimation of the 2009 city and municipal level poverty estimates published in the NSCB website last 03 August 2013. Column Header / Description Prelim_*year / Preliminary (indicated by "TRUE" or "FALSE")* Pov_*year / Poverty Incidence* SE_*year / Standard Error* CoV_*year / Coefficient of Variation* Con_90lower_*year / 90% Confidence Interval Lower Limit* Con_90upper_*year / 90% Confidence Interval Upper Limit*
  • 400+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 1996-Sep 30, 2014
    This dataset updates: Every year
    Número de desplazados por municipio según el Registro Único de Víctimas de la Unidad de Atención y Reparación Integral a las Víctimas (UARIV).
  • 1500+ Downloads
    Updated November 24, 2015 | Dataset date: Nov 21, 2014
    This dataset updates: Never
    Updated January 2015 with some cleaning of dataset. Health Facilities, with OCHA P-codes for level 1 and 2, Chiefdoms names, category of HF. The 2014 update info refers only to the pre-Ebola outbreak status. Please reflect this in the table to avoid misrepresentation as it is not actual (Oct 2014) status but from early in the year.
  • 200+ Downloads
    Updated November 24, 2015
    This dataset updates: Never
    Estimaciones y proyecciones municipales de población para el periodo 1985-2020 del DANE.
  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Dec 5, 2014
    This dataset updates: Every three months
    Who, What, Where (3W) dataset on the Ebola response effort. Some entries have a maximum level of desegregation up to administrative level 3. The dataset contains data from Guinea, Liberia, Sierra Leone, and Nigeria. This dataset is updated weekly. Last Update 17 Nov. 2014 Note: If your humanitarian organization would like to make a correction or update the dataset, please contact the OCHA focal point for the respective country. Contacts can be found at https://wca.humanitarianresponse.info/fr/emergencies/virus-ebola
  • 400+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: Never
    El infograma es producido semestralmente desde 2006, usando información proveniente de la Unidad para la Atención y Reparación Integral a Victimas UARIV, el Programa Presidencial para la Acción Integral contra Minas Antipersonal PAICMA, la Unidad Nacional para La Gestión del Riesgo de Desastres UNGRD, la Dirección de Policía Judicial (DIJIN), el Instituto Nacional de Medicina Legal (INML), el Observatorio de DDHH y DIH, la Vicepresidencia de la República y la Universidad Santo Tomás -OCHA. Analizar tendencias en las diferentes situaciones humanitarias hace parte del principal objetivo del Infograma de Situación Humanitaria. Este documento presenta mapas, gráficas y estadísticas que reflejan la situación humanitaria en Colombia. Permite al usuario analizar nacionalmente las tendencias de fenómenos como el desplazamiento interno, Minas anti personal y munición sin explotar, desastres naturales, homicidios, desaparecidos y el Índice de Riesgo de la Situación Humanitaria.
  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Nov 1, 2010
    This dataset updates: Every year
    Data on population density by municipality in Colombia for 2010. Square kilometer calculation based on IGAC municipal area data for that year.
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: Aug 1, 2004
    This dataset updates: Never
    A series of spreadsheets with data by municipality from 1993 on the following sectors: Demographics Potable water services Education services Healthcare services * Services provided by housing unit The data is p-coded with the DIVIPOLA system.
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 2008
    This dataset updates: Every year
    An Excel archive of ethnic demographic data by municipality in Colombia, based on the 2005 census results. The ethnic categories include Afro-colombian, indigenous, as well as "Raizal" and "ROM", which should be understood as Afro-colombians from San Andres and Romany populations. The data is organized by municipality, with the DIVIPOLA p-code scheme.