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  • OCHA FTS
    Updated November 21, 2017 | Dataset date: Nov 21, 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
    • 400+ Downloads
    • This dataset updates: Every day
  • 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.
  • 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.
  • 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.
  • Humanitarian OpenStreetMap Team (HOT)
    Updated November 19, 2017 | Dataset date: Nov 19, 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.
  • HDX
    Updated November 8, 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
    • 200+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated November 8, 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
  • HDX
    Updated November 8, 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
  • UNHCR - The UN Refugee Agency
    Updated October 24, 2017 | Dataset date: Jan 1, 1990-Dec 31, 2027
    Data about UNHCR's populations of concern originating from Sri Lanka. There are five types of data available (by year, unless otherwise noted): Persons of concern Time-series data for refugees Refugee status determination for asylum seekers Number of asylum seekers (by month). Refugees resettled. The source data comes from the UNHCR Population Statistics portal.
    • CSV
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated October 24, 2017 | Dataset date: Jan 1, 1990-Dec 31, 2027
    Data about UNHCR's populations of concern residing in Sri Lanka. There are six types of data available (by year, unless otherwise noted): Persons of concern Time-series data for refugees Demographic profile of refugees Refugee status determination for asylum seekers Number of asylum seekers (by month). Refugees resettled. The source data comes from the UNHCR Population Statistics portal.
    • CSV
    • This dataset updates: Live
  • InterAction
    Updated October 24, 2017 | Dataset date: Nov 16, 2015-Dec 31, 2027
    List of aid activities by InterAction members in Sri Lanka. Source: http://ngoaidmap.org/location/gn_1227603
    • CSV
    • JSON
    • This dataset updates: Live
  • OurAirports
    Updated October 20, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Sri Lanka, with latitude and longitude. Unverified community data from http://ourairports.com/countries/LK/
    • CSV
    • This dataset updates: Live
  • Disaster Management Centre Sri Lanka
    Updated October 5, 2017 | Dataset date: Jan 1, 2010
    Spatial data for main health infrastructure is available here. Name of the health facility and type of the facility is given in the attributes. Abbreviations used in the the database: BH - Base Hospital, DH - District Hospital, MoH - , TH - Teaching Hospital, MoH- Medical Officer of Health
  • This map illustrates satellite-detected areas of flood water as observed in Sentinel-1 imagery collected 24 November 2014 and 18 December 2014. Waters extended along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • 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.
  • 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
  • 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
    • 1100+ Downloads
    • This dataset updates: Every month
  • Netherlands Red Cross
    Updated June 8, 2017 | Dataset date: Jun 1, 2017
    Product This priority index was derived by combining a detailed flood extent mapping with detailed human settlement geo-data. Both sources were combined to produce the location and magnitude of population living in flooded areas. This was subsequently aggregated to admin-4 areas (GND) as well as admin-3 areas (DS divisional). The flood extent mapping was derived in turn by combining two sources: Flood extent maps could be produced rather faster using satellite imageries captured by either optical sensors or Synthetic Aperture Radar (SAR) sensors. In most places flood is cause by heavy rainfall which means in most cases cloud is present, this is a limitation for optical sensors as they can’t penetrate clouds. Radar sensors are not affected by cloud, which make them more useful in presence of cloud. In This analysis we analyzed sentinel2 optical image from May 28th and Sentinel 1 SAR image from May 30th. Then we combine the two results adding up the flood extents. Main cloud covered areas and permanent water bodies are removed from the flood extent map using the Sentinel 2 cloud mask. The scale/resolution of the flood extent map is 30mts where as the permanent water body map has 250m scale resolution. This will introduce some discrepancy: part of flood extent map could be permanent water body. Scope Analysis focused on 4 districts in South-West Sri Lanka based on news reports (https://www.dropbox.com/s/n0qdqe7qfgq6fyv/special_situation.pdf?dl=0). Based on the admin-3-level analysis, highest percentages of population living in flooded areas were seen in Matara district. Admin-4 level analysis concentrated only on Matara district for that reason. Caveats The dataset is showing percentage flooded. The data has not yet been corrected for small populations. We believe the product is currently pointing to the high priority areas. In the shp or csv files the user of this data could easily correct for small populations, if there is a wish to target on the amount of people affected. Data used from partners The human settlement data was retrieved from http://ciesin.columbia.edu/data/hrsl/. Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 01-06-2017. The Radar imagery analysis was done by NASA JPL, whose input in this product has been crucial. Visualization An example map is available here: http://bit.ly/SriLankaFloodMap Linked data Admin boundaries 3 and 4 can be found here (link on OBJECT_ID): https://data.humdata.org/group/lka?q=&ext_page_size=25&sort=score+desc%2C+metadata_modified+desc&tags=administrative+boundaries#dataset-filter-start How to use The ratio column in the SHPs or CSVs can be multiplied by 100 to get the percentage of flooding in the area.
  • OCHA ROAP
    Updated January 20, 2017 | Dataset date: Dec 31, 2012
    This data set include Sri Lanka census of population and housing 2012 with sex age and religion dis-aggregated data up to GND (4th Admin) level . This data set is shared by Disaster Management Centre of Sri Lanka during the 2016 flood response only for humanitarian response/agency purposes and updated with population projection upto 2022 bu WFP and UNOCHA.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every year
  • OCHA ROAP
    Updated January 20, 2017 | Dataset date: Nov 2, 2012
    This data set include Sri Lanka census of population and housing 2012 including population projection up to 2022 with sex age, ethnic and religion dis-aggregated data up to District level (2nd Admin) level . This data set is shared by Disaster Management Centre of Sri Lanka during the 2016 flood response only for humanitarian response/agency purposes. Data set cleaned and updated by WFP, Map Action and OCHA.
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1990-Jan 1, 2015
    [Source: United Nations Department of Economic and Social Affairs] The maternal mortality ratio (MMR) is the ratio of the number of maternal deaths during a given time period per 100,000 live births during the same time-period.
    • XLSX
    • CSV
    • TXT
    • 200+ Downloads
    • This dataset updates: Every year
  • OCHA ROAP
    Updated January 20, 2017 | Dataset date: Jun 30, 2015
    This data set include Sri Lanka census of population and housing 2012 including population projection up to 2022 with sex age, ethnic and religion dis-aggregated data up to GND (4th Admin) level . This data set is shared by Disaster Management Centre of Sri Lanka during the 2016 flood response only for humanitarian response/agency purposes. Data set cleaned and updated by WFP, Map Action and OCHA.
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1966-Jan 1, 2014
    [Source: World Health Organization] Percentage of stunting (height-for-age less than -2 standard deviations of the WHO Child Growth Standards median) among children aged 0-5 years
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1970-Jan 1, 2014
    [Source: World Health Organization] Percentage of overweight (weight-for-height above +2 standard deviations of the WHO Child Growth Standards median) among children aged 0-5 years
    • XLSX
    • CSV
    • TXT
    • 60+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1966-Jan 1, 2014
    [Source: World Health Organization] Percentage of (weight-for-height less than -2 standard deviations of the WHO Child Growth Standards median) among children aged 0-5 years
    • XLSX
    • CSV
    • TXT
    • 50+ Downloads
    • This dataset updates: Every year