American Red Cross
Last updated on February 14, 2019
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  • 50+ Downloads
    Updated February 14, 2019 | Dataset date: Feb 14, 2019
    This dataset updates: As needed
    This data shows 47 administrative units or counties in Kenya as per IEBC demarcation
  • 50+ Downloads
    Updated February 14, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: Every year
    2016 Kenya population density (per square km)
  • 50+ Downloads
    Updated February 14, 2019 | Dataset date: Feb 14, 2019
    This dataset updates: Every day
    Data about cell tower locations in Kenya showing different signals e.g. CDMA, LTE, GSM
  • 90+ Downloads
    Updated February 11, 2019 | Dataset date: Jan 24, 2019
    This dataset updates: Every month
    This dataset is showing the health data of the Democratic Republic of Congo
  • 10+ Downloads
    Updated January 22, 2019 | Dataset date: Feb 12, 2010
    This dataset updates: As needed
    List of schools in Kenya (Primary, Secondary and Tertiary)
  • 60+ Downloads
    Updated December 17, 2018 | Dataset date: Mar 1, 2016-Aug 31, 2016
    This dataset updates: Never
    This dataset contains cell signal strength data collected by 100+ Red Cross volunteers across West Africa (Guinea, Liberia, and Sierra Leone border regions). Data have been cleaned and converted to a consistent scale (in dBm). This package contains a zipped shapefile, QGIS style file, and a text file with the complete data. Procedure is documented here: https://github.com/AmericanRedCross/workflows/blob/master/opensignal-data.md
  • Updated November 6, 2018 | Dataset date: Jan 1, 2018
    This data is by request only
    Uganda Red Cross Society works in all regions of Uganda with 51 branches spread all over the country: https://www.redcrossug.org/about/work/where-we-work
  • Updated November 6, 2018 | Dataset date: Jan 1, 2012
    This dataset updates: Every year
    The water source point data is produced by Uganda Bureau of Statistics between 2009 and 2012 during the National Census Mapping Programme. More information about this file can be found here: http://ubos.geo-solutions.it/layers/geonode:water_points_1
  • Updated November 6, 2018 | Dataset date: Jan 1, 2012
    This dataset updates: Every year
    This file include different religious facilities that were mapped in 2012 by Uganda Bureau of Statistics. More information about the layer can be found here: http://ubos.geo-solutions.it/layers/geonode:religious_layer
  • Updated November 6, 2018 | Dataset date: Jan 1, 2012
    This dataset updates: Every year
    These are point locations of Gas/Petro Stations,Power Stations,Substations and Transformers,which were mapped by Uganda Bureau of Statistics between 2009 to 2012 under the National Census Mapping Programme. More detail about this dataset and more downloadable formats can be found here: http://ubos.geo-solutions.it/layers/geonode:energy_layer
  • Updated November 6, 2018 | Dataset date: Jan 1, 2012
    This dataset updates: Every year
    These are commercial centres of Uganda which include markets (daily,Weekly & Monthly types),Trading Centres and major shops.The layer was produced by UBOS between 2009 to 2012 under the National Census Mapping Programme. More detail about this dataset and more downloadable formats can be found here: http://ubos.geo-solutions.it/layers/geonode:commercial_facilities
  • Updated October 18, 2018 | Dataset date: Nov 10, 2016
    This data is by request only
    InaRisk is an Indonesia risk assessment and monitoring web-based platform using ArcGIS server as data services that describe disaster prone areas, impacted population, potential physical loss (in Rp), economic potential loss (in Rp), and potential environmental damage (in ha). The footprints of this dataset can be viewed here in the ArcGIS online map: http://www.arcgis.com/home/webmap/viewer.html?featurecollection=http%3A%2F%2Finarisk.bnpb.go.id%3A6080%2Farcgis%2Frest%2Fservices%2FinaRISK%3Ff%3Djson%26option%3Dfootprints&supportsProjection=true&supportsJSONP=true
  • 10+ Downloads
    Updated October 15, 2018 | Dataset date: Jan 1, 2015
    This dataset updates: Every year
    The High Resolution Settlement Layer (HRSL) provides estimates of human population distribution at a resolution of 1 arc-second (approximately 30m) for the year 2015. The population estimates are based on recent census data and high-resolution (0.5m) satellite imagery from DigitalGlobe. The population grids provide detailed delineation of settlements in both urban and rural areas, which is useful for many research areas—from disaster response and humanitarian planning to the development of communications infrastructure. The settlement extent data were developed by the Connectivity Lab at Facebook using computer vision techniques to classify blocks of optical satellite data as settled (containing buildings) or not. CIESIN used proportional allocation to distribute population data from subnational census data to the settlement extents. The population data have been developed for 33 countries. Read more about the project here.
  • 3600+ Downloads
    Updated December 18, 2017 | Dataset date: Feb 1, 2016-Oct 31, 2016
    This dataset updates: Never
    From February to October 2016, the American Red Cross and its local Red Cross partners completed an effort to extensively map areas within a 15-kilometer distance of the shared borders between Guinea, Liberia, and Sierra Leone. The goal of this work was to create an open and comprehensive dataset of communities for West Africa and to ensure that decision makers, humanitarian workers, and community stakeholders are better aware of water, sanitation, health, and community resources before and during the next crisis. To complete this mapping, the American Red Cross launched a mapping center in Guéckédou, Guinea, and used it as both a base of operations and a community engagement facility. Over 100 volunteers helped to complete a rapid assessment of the region, visiting over 7,000 communities by motorbike to complete a vulnerability survey with the village leader. Next, over 100 communities were selected for a round of detailed mapping, focusing on collecting the location and information about every water point, health facility and other community resource in the area. In addition, we led technical skills trainings and mapping events both in Guéckédou and across the region. ALL DATA EXCEPT FOR THE OpenStreetMap EXTRACTS ARE LICENSED AS CC-BY 4.0
  • 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*