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  • 100+ Downloads
    Updated June 12, 2019 | Dataset date: Dec 31, 2015
    This dataset updates: Never
    EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
  • Updated May 28, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
  • Updated May 28, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Kenya 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00457
  • Updated May 28, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Kenya 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00349
  • 100+ Downloads
    Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • This map illustrates satellite-detected flood water extent over Garsen, Magarini, Malindi and Lamu West Sub Counties, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the extent of the map more than 25,000 ha of land appear to be inundated and around 20,000 people are living inside this flood water extent. Within the map extent, around 13,000 ha of inundated land are located inside Garsen sub county, potentially affecting 5,000 people. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent along Tana River, Bura Sub County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana and the surrounding land between the primary road and the limit of the Tana River boundary, specifically were the population is concentrated. Within the analysis extent, more than 9,100 ha of land appear to be inundated and more than 9,800 people are living inside this flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent along Tana River, Galole and Garsen sub counties, Tana River county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana, the surrounding land between the primary road and the limit of the Tana River boundary, specifically where the population is concentrated. Within the analysis extent, around 22,700 ha of land appears to be inundated and more than 21,600 people are living inside this flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • Updated May 15, 2019 | Dataset date: May 15, 2018
    This dataset updates: Live
    This map illustrates satellite-detected flood water extent over Wajir county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, around 111,800 ha of land appears to be inundated and more than 46,300 people are living inside this flood water extent.Within the analysis extent, the sub county of Wajir West presents 68,000 ha of land inundated and more than 6,100 people potentially affected while Wajir South presents ~ 26,300 ha of land inundated and ~ 19,000 people potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over Dadaab & Lagdera Sub Counties, Garissa County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the analysis extent, ~ 43,300 ha of land appear to be inundated and around 23,000 people are living inside this flood water extent. Within the analysis extent, around 23,300 ha of inundated land are located inside Dabaad Sub County, potentially affecting 18,200 people. Several refugee camps, specially the ones located inside Dadaab Sub County, seem to be affected by the floods, being Ifo 2 Refugee Camp the most affected one. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates potentially affected population by flooding in the eastern sub counties of Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, more than 200,000 people are potentially affected by the floods. Magarini sub county in Kilifi County, is the one with more than 40,000 people living inside flood affected areas, followed by Dadaab, Wajir South, Garsen and Malindi sub counties. Note that some sub counties have been partially analyzed depending on the area covered by satellite imagery. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 20+ Downloads
    Updated May 9, 2019 | Dataset date: Apr 25, 2019
    This dataset updates: As needed
    Dataset shows the Value of Recorded Marketed Agricultural Production at Current Prices in kenya for the period of 2014 - 2018
  • 20+ Downloads
    Updated May 2, 2019 | Dataset date: Apr 25, 2019
    This dataset updates: Every year
    The dataset presents number of registered refugees and asylum seekers in Kenya by age and sex from 2014 to 2018. The number of registered refugees declined by 3.4 per cent to 471,724 in 2018. This is attributed to the ongoing voluntary repatriation and resettlement. Adult refugee population marginally increased from 215,312 in 2017 to 216,547 in 2018 while child refugee population declined by 6.6 per cent to 255,177
  • 10+ Downloads
    Updated May 2, 2019 | Dataset date: Apr 25, 2019
    This dataset updates: Every year
    Dataset shows rice production in various irrigation schemes over the last five years. The total area cropped increased by 25.1 per cent from 21.9 thousand hectares in 2017 to 27.4 thousand hectares in 2018. This was mainly due to an increase in area under irrigation brought about by sufficient irrigation water in Mwea scheme, which accounted for 84.3 per cent of the total area cropped. The number of plot holders in all schemes also increased by 4.0 per cent to 14,028 in 2018. During the same period, the volume of Paddy produced increased by 38.7 per cent from 81.2 thousand tonnes in 2017 to 112.6 thousand tonnes in 2018 due to availability of irrigation water. The gross value of output increased by 59.1 per cent to KSh 7.0 billion in 2018. Similarly, payments to plot holders increased from KSh 2.2 billion in 2017 to KSh 3.8 billion in 2018.
  • 10+ Downloads
    Updated May 2, 2019 | Dataset date: Apr 25, 2019
    This dataset updates: Every year
    The Food Balance Sheet (FBS) is a tool that is used to assess the food situation of a given country. It provides a preview of the supply of various food commodities and their subsequent use at primary commodity equivalent. Consequently, the FBS is a national accounting/statistical framework, presenting a comprehensive picture of the pattern of a country’s food supply during a specified reference period. Given the usefulness of the FBS, the Food and Agriculture Organization of the United Nations (FAO) has given considerable attention to its development. As a result, countries have been encouraged to adopt the FBS framework in order to assist in analyzing the food supply situation. The FBS calculates the average quantity of a given food commodity an individual consumes in a particular year. This is given in terms of kilograms of the food item consumed by an individual.
  • 20+ Downloads
    Updated May 2, 2019 | Dataset date: Apr 25, 2019
    This dataset updates: Every year
    The Program for Persons with Severe Disability targets adults and children with severe disabilities who require full time support of a care giver. Total allocation for persons with severe disability is expected to increase by 9.3 per cent from KSh 1.2 billion in 2017/18 to KSh 1.3 billion in 2018/19
  • 20+ Downloads
    Updated May 2, 2019 | Dataset date: Dec 31, 2017-Dec 31, 2018
    This dataset updates: Every year
    Dataset summarizes the participation of women and men in key decision making through selected positions of leadership. The proportion of women Diplomatic Corps reduced from 27.6 per cent in 2017 to 23.2 per cent in 2018 while those appointed as County Commissioners and Deputy County Commissioners reduced from 36.1 per cent and 14.9 per cent in 2017 to 29.8 per cent and 11.5 per cent in 2018 respectively. In the legislature,the proportion of women in both houses of Parliament remained below a third while that of Members of County Assemblies increased marginally to 33.9 per cent in 2018. The proportion of women judges at the Court of Appeal increased from 31.8 per cent in 2017 to 36.8 per cent in 2018. During the same period, the proportion of women judges at the High Court marginally increased by 1.4 percentage points.
  • 20+ Downloads
    Updated May 2, 2019 | Dataset date: Dec 31, 2017-Dec 31, 2018
    This dataset updates: As needed
    Dataset presents the distribution of members of the County Assemblies by county and sex. Nationally, female members of County Assemblies (MCAs) constituted 34.2 per cent of the total number of MCAs. The proportion of elected women MCAs was 6.6 per cent while that of nominated women MCAs was 84.0 per cent. Tharaka-Nithi County Assembly had the highest proportion of women MCAs at 41.7 per cent followed by Kisumu and Kajiado Counties at 38.8 per cent and 36.6 per cent, respectively.
  • 10+ Downloads
    Updated May 2, 2019 | Dataset date: Mar 31, 2014-Sep 30, 2018
    This dataset updates: Every year
    The dataset shows the average retail market prices of selected food crops from 2014 to 2018. Overall, the retail prices of finger millet, maize, beans, cabbages and tomatoes decreased in March and September 2018 compared to corresponding periods in 2017.
  • 1000+ Downloads
    Updated April 21, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains verified submissions from our partner agencies and publicly-reported data for events in which an aid worker was assaulted or injured. Categorized by country.
  • 20+ Downloads
    Updated April 17, 2019 | Dataset date: Mar 31, 2019
    This dataset updates: Every month
    Kenya National Bureau of Statistics hereby releases monthly Consumer Price Indices (CPI) and rates of inflation, for March, 2019. These numbers were generated from a survey of retail prices that targeted a basket of household consumption goods and services. The exercise was conducted during the second and third weeks of the month, with prices being obtained from selected retail outlets in 25 data collection zones in Nairobi and in 13 other urban centers.
  • 10+ Downloads
    Updated April 17, 2019 | Dataset date: Mar 30, 2019
    This dataset updates: Every month
    Kenya National Bureau of Statistics hereby releases monthly Consumer Price Indices (CPI) and rates of inflation, for March, 2019. These numbers were generated from a survey of retail prices that targeted a basket of household consumption goods and services. The exercise was conducted during the second and third weeks of the month, with prices being obtained from selected retail outlets in 25 data collection zones in Nairobi and in 13 other urban centers.
  • 50+ Downloads
    Updated April 16, 2019 | Dataset date: Dec 31, 2017
    This dataset updates: As needed
    Gross County Product (GCP) is a geographic breakdown of Kenya’s Gross Domestic Product (GDP) that gives an estimate of the size and structure of county economies. It also provides a benchmark for evaluating the growth of county economies over time. The GCP estimates are consistent with the published national GDP in the sense that the sum of the GCP is equal to national-level GDP. However, it has not been possible to distribute taxes (less subsidies) on products due to lack of sufficient details.
  • 100+ Downloads
    Updated April 12, 2019 | Dataset date: Mar 31, 2016
    This dataset updates: As needed
    1450 administrative Wards in Kenya - More than 20 counties have their topology cleaned. Unique IDs from DHIS2 for wards(UID), county (CUID), and sub county (SCUID) have been added. This is a plug and play data and is very compatible with DHIS2
  • 90+ Downloads
    Updated April 9, 2019 | Dataset date: Mar 19, 2015
    This dataset updates: Never
    Making Education Information Available to All in Kibera Many people collect information about education - and they sometimes make it open and free to use. So, why isn't it easy to find information about a particular school - for a parent, or for an education researcher? Much of the information that's out there isn't connected to the other data - and especially when it comes to informal schools, which provide a great deal of the education services in places like informal settlements.