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  1. Title: Kenya Elevation, 2002

    Contributors:

    Summary: Kenya Elevation is a Digital Elevation Model representing elevations throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  2. Title: Kenya Vegetation, 2002

    Contributors:

    Summary: Kenya Vegetation is a raster theme representing percentages of tree cover throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  3. Title: Kenya Landuse, 2002

    Contributors:

    Summary: Kenya Landuse is a raster theme representing landuse classifications throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  4. Title: Kenya Landcover, 2002

    Contributors:

    Summary: Kenya Landcover is a raster theme representing land cover classifications throughout Kenya at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  5. Title: City of Nairobi

    Contributors:

    Summary: Map shows roads, built-up areas, major buildings, churches, cemeteries, parks, and other important features. Includes indexes to principal roads and places of interest, distance tables, climate charts, and photographs on verso. Legend in English, French, German, and Italian. Text in English, French, and German. On verso: Nairobi guide to city centre (1:15,840), history notes, suggested excursions, distance tables, climatic charts, and photographs. Edition partly revised from aerial photography dated August 1970, and January1971. Seventh edition partly revised from aerial photography in 1976 & the schedule of new street names for city area dated 1974. ©Kenya Government 1978

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  6. Title: City of Nairobi : (central area)

    Contributors:

    Summary: Map shows roads, built-up areas, churches, parks, and other important features. Includes indexes for principal roads, places of interest, advertisers and photographs on margin. On verso: Nairobi guide to city centre (1:15,840) showing 24-hour car parks, index to places of interes, and advertisements.

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  7. Title: Nakuru

    Contributors:

    Summary: Map shows municipal and property boundaries, land reference numbers. Relief shown by contours with 10 foot interval. "1500/1/63." ©Crown copyright 1963

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  8. Title: Nairobi

    Contributors:

    Summary: Map shows municipal boundaires, property boundaries, land reference numbers, roads, and railways. Relief shown by 10 feet contour interval. "Crown copyright reserved." Three sheets joined together to form one map.

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  9. Title: Major Cities: Kenya, 2000

    Contributors:

    Summary: This point shapefile identifies major cities in Kenya for 2000. Data from 1:50,000 and 250,000 topographic maps originally created by the Geological Survey of Kenya were digitized by the International Livestoack Research Institute and the Japan International Cooperation Agency. This data was used in maps throughout Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Geological Survey of Kenya, Japanese International Cooperation Agency, and International Livestock Research Institute. (2000). Major Cities: Kenya, 2000. World Resources Institute. Available at: http://purl.stanford.edu/mb999xf7048 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  10. Title: Market Centers in Western Kenya, 2000

    Contributors:

    Summary: This point shapefile shows locations of market centers in western Kenya. This data was used in Map 3.15 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Geological Survey of Kenya and International Livestock Research Institute. (2000). Market Centers in Western Kenya, 2000. Geological Survey of Kenya. Available at: http://purl.stanford.edu/sb710sh4558 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  11. Title: Major Roads: Kenya, 1997

    Contributors:

    Summary: This line shapefile shows major roads in Kenya. These data were originally produced as a 1:250,000 topographic map by the Geological Survey of Kenya. This data was used in maps throughout Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Geological Survey of Kenya, Japanese International Cooperation Agency, and International Livestock Research Institute. (1997). Major Roads: Kenya, 1997. World Resources Institute. Available at: http://purl.stanford.edu/hd634cg4363 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  12. Title: Small-Scale Irrigation and Drainage Points in Kenya, 1995

    Contributors:

    Summary: This point shapefile contains locations of existing small-scale irrigation and drainage points in Kenya. Clusters of small-scale irrigation points are especially prevalent around the shores of Lake Victoria and the base of Mount Kenya. The irrigated areas around the base of Mount Kenya depend mostly on water from the upper Tana and Ewaso Ngiro Rivers, which drain from the top of the mountain. This data was used in Map 3.12 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya. Ministry of Agriculture. (1995). Small-Scale Irrigation and Drainage Points in Kenya, 1995. Kenya, Ministry of Agriculture. Available at: http://purl.stanford.edu/jt676ms4525 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  13. Title: Important Bird Areas: Kenya, 2003-2004

    Contributors:

    Summary: This polygon shapefile depicts Important Bird Areas (IBAs) and their status in Kenya, 2003-2004. The data depicts each IBA by a point in the center of its associated area. IBAs range from 1 hectare to more than 1 million hectares in size. This layer identifies 60 IBAs in Kenya covering some 5.7 million hectares (10 percent of the country’s land area). These areas play a critical role in ensuring the survival of local and migratory bird species. Of these 60 sites, only 35 are located inside parks, sanctuaries, reserves, or other protected areas. Thus, the survival of local and migratory species relies heavily on coexistence with people in landscapes that have been significantly altered by human activities. A recent assessment of the conservation status of Kenya’s IBAs indicated that many are in decline—a finding that bodes ill for Kenya’s rich bird diversity. Indeed, some 27 bird species in Kenya have been listed as “critically endangered, endangered, or vulnerable.” This data was used in Map 5.3 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Nature Kenya. (2007). Important Bird Areas: Kenya, 2003-2004. Birdlife International. Available at: http://purl.stanford.edu/jm947qz7375 Please note that this data is frequently updated. Please refer to Birdlife International's website for most updated versions and downloads: http://www.birdlife.org/datazone/index.html Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  14. Title: Poverty Assessment for Constituencies in Eastern Kenya

    Contributors:

    Summary: This polygon shapefile shows the poverty rate, poverty gap, poverty density and number of Kenyan Shillings (per month per km2) estimated to close the poverty gap for constituencies in eastern Kenya for 1999. This data is displayed in Map 2.6, Map 2.7, Map 2.8 and Map 2.9 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. It is used to show data for eastern Kenya, for which poverty data for the location- and sub-location-level were not available. World Resources Institute. (2005). Poverty Assessment for Constituencies in Eastern Kenya. World Resources Institute. Available at: http://purl.stanford.edu/ts347fy4955 Locations are thrid level administrative divisions (below counties). Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  15. Title: District Boundaries: Kenya, 2003

    Contributors:

    Summary: This polygon shapefile represents Kenya's district administrative boundaries in 2003. These data were acquired from the Kenya Central Bureau of Statistics (CBS). This data was used in maps throughout Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya. Central Bureau of Statistics. (2003). District Boundaries: Kenya, 2003. World Resources Institute. Available at: http://purl.stanford.edu/bz486xp6895 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  16. Title: Theoretical Poverty Investment Strategy for Locations in Kenya, 1999

    Contributors:

    Summary: This polygon shapefile contains estimates for the minimum amount (in Kenyan Shillings) needed per square kilometer per month to close the poverty gap for locations of Kenya, 1999. This data was used in Map 2.9 in Nature's Benefits: An Atlas of Ecosystems and Human Well-Being in Kenya. Kenya. Central Bureau of Statistics. (2003). Theoretical Poverty Investment Strategy for Locations in Kenya, 1999. Kenya, CBS. Available at: http://purl.stanford.edu/bz899hb6020 Locations are thrid level administrative divisions (below counties). Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  17. Title: Location-level Poverty Density: Kenya, 1997

    Contributors:

    Summary: This polygon shapefile contains location-level poverty statistics on populations and housing quality from Kenya's Central Bureau of Statistics. Locations are third level level administrative subdivisions (below counties) in Kenya. This data was used in Chapters 2 and 8 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being in Kenya. Kenya. Central Bureau of Statistics. (2003). Location-level Poverty Density: Kenya, 1999. Kenya CBS. Available at: http://purl.stanford.edu/vv457hz5132 Data are downloadable at www.planning.go.ke. Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  18. Title: GINI Coefficient for 210 Constituencies in Kenya, 1999

    Contributors:

    Summary: This polygon shapefile depicts the average inequality of per capita expenditures (also known as the GINI Index) for 210 constituencies in Kenya for 1999. Spatial patterns of inequality in per capita expenditure (as measured by the Gini coefficient) differ at the sub- provincial level. Areas of highest inequality are found near urban areas, including Nairobi and large towns such as Kisumu. Inequality also is quite high in some less poor areas of the central highlands and Rift Valley, perhaps due to very poor subsistence farmers living side by side with more prosperous households earning higher incomes from commercial agriculture. Inequality is lower in areas of the north, Western Province, North East Province, and Coastal Province where the populace is more uniformly poor. This data was used in Map 2.10 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. Kenya, Central Bureau of Statistics and Kenya, Ministry of Planning and National Development (2003). GINI Coefficient for 210 Constituencies in Kenya, 1999. Kenya, Central Bureau of Statistics. Available at: http://purl.stanford.edu/wz812mp8946 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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  19. Title: Expanded map of Nairobi & suburbs

    Contributors:

    Summary: Includes index. Indexed map of Nairobi central business districts, map of Westlands area & shopping centre, map of Karen/Langata area and Nairobi National Park, and color illustrations on verso.

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  20. Title: Turtle Nesting Sites on the Eastern Coast of Kenya, 2006

    Contributors:

    Summary: This point shapefile contains locations of turtle nesting and breeding sites on the eastern coast of Kenya. This data was used in Map 6.4 and Map 6.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. United Nations Development Programme (Kenya), Kenya Marine and Fisheries Research Institute and Geological Survey of Denmark . (2006). Turtle Nesting Sites on the Eastern Coast of Kenya, 2006. World Resources Institute. KMFRI and GSD. Available at: http://purl.stanford.edu/rp968zc9902 The full report is available at http://www.geus.dk/program-areas/nature-environment/international/reports/kensea/kensea_rapport.pdf. Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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