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  1. 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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  2. 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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  3. Title: Warehouses: Kenya, 2011

    Contributors:

    Summary: This point shapefile contains the locations of warehouses in Kenya for 2011. Data were acquired from the National Cereals and Produce Board (NCPB) in Kenya. This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Kenya. National Cereals and Produce Board. (2012). Warehouses: Kenya, 2011. United Nations. Office for the Coordination of Humanitarian Affairs. Available at: http://purl.stanford.edu/mq835kx9297

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  4. Title: Zoning, Beverly, Massachusetts, ca. 1975 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Zoning map of the city of Beverly, Mass. It was published by the Dept. of Planning and Development ca. 1975. Scale [1:10,800].The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, selected public buildings, zoning and town boundaries, and more. Includes table of minimum and maximum lot size dimensions and principal use types.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  5. Title: Zoning, Beverly, Massachusetts, 1989 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Zoning map of the city of Beverly, Mass. It was published by the Dept. of Planning and Development in 1989. Scale [1:10,800]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, watersheds overlay, selected public buildings, zoning and town boundaries, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  6. Title: Map of Duluth: 1990 Census Neighborhood Areas

    Contributors:

    Summary: Duluth city limits; twenty-nine named neighborhoods with codes 001 (Fond du Lac at the west) to 029 (North Shore at the east)

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  7. Title: Proposed Large-Scale Irrigation Schemes: Kenya, 1992

    Contributors:

    Summary: This polygon shapefile contains the locations of proposed large-scale irrigation schemes in Kenya. 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 Water Development and Japanese International Cooperation Agency. (1992). Proposed Large-Scale Irrigation Schemes: Kenya, 1992. World Resources Institute. Available at: http://purl.stanford.edu/gh683jp8402 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. Title: Primary Care Health Professional Shortage Areas, California, 2015

    Contributors:

    Summary: This polygon shapefile contains primary health care professional shortage areas (HPSAs) in California. On January 26, 2004, the California Healthcare Workforce Policy Commission (Commission) formally adopted a means to create the PCSA map. The process for identifying PCSAs uses the rule base listed below. In March, 2015, the OSHPD staff presented the Commission with information suggesting an update to the map to include current data on (1) physicians, (2) poverty and (3) population. Percent below Poverty Level (100%) Value Range Weighted Score 5.0 or Less 0 5.1 - 10.0 1 10.1 - 15.0 2 15.1 - 20.0 3 20.1 - 25.0 4 25.1 or Greater 5 (maximum) Physician-to-Population Ratio Value Range Weighted Score Lower than 1:1,000 0 1:1,000 to 1:1,500 1 1:1,500 to 1:2,000 2 1:2,000 to 1:2,500 3 1:2,500 to 1:3,000 4 Higher than 1:3,000 5 (maximum) * Any MSSA with a score of 5 or greater is defined as a PCSA. PCSAs are used as a means to help the Commission rank applications based on the number of program graduates and training sites inside areas of unmet need. PCSAs are the only consistently applied rule base to defining shortages of physicians, as the other designations are applicant based and require prior knowledge that a shortage might exist. This data is aggregated by Medical Service Study Area (MSSA) to obtain a count of primary care physicians by MSSA. Primary Care Shortage Areas are updated Annually and are used in the Song-Brown Grant Program for Family Medicine, Family Nurse Practitioner-Physician Assistant and Primary Care Residency programs. This update to data for the PCSA was approved by the California Healthcare Workforce Policy Commission on March 4, 2015. This layer is part of the Healthcare Atlas of California. This data for Primary Care Shortage Area (PCSA) was developed by the Office of Statewide Health Planning and Development's (OSHPD) Healthcare Workforce Development Division (HWDD). The data is used to support the following programatic areas: 1) encourage demographically underrepresented groups to pursue healthcare careers 2) identifies geographic areas of unmet need, and 3) encourages primary care physicians and non-physician practitioners to provide healthcare in medically underserved areas in California. O'Neill, M. and California Office of Statewide Health Planning and Development. (2015). Primary Care Health Professional Shortage Areas, California, 2015. California Office of Statewide Health Planning and Development. Available at: http://purl.stanford.edu/zr629js5551. 1. The recipient will not distribute copies of the data or make the DATA available to a third party. The recipient may transmit to a third party colleague in hard copy or electronically, minimal amounts of the California Healthcare Workforce Catalog (CWHC) data for scholarly, educational, or scientific research or professional use bit in no case for re-sale. In addition, the recipient has the right to use, with appropriate credit, maps, figures, tables and excerpts derived from the CHWC in the recipients own scientific, scholarly and educational works. 2. The recipient will not resell the data or portions of the data 3. Maps, figures, tables and data from the CHWC should be appropriately attributed trough the use of the following citation: California Healthcare Workforce Catalog (CWHC). April 2005. California Health and Human Services Agency, Office of Statewide Health Planning and Development, Healthcare Workforce and Development Division, Sacramento CA. 4. Whenever, HWDD has knowledge or reason to believe that the recipient has failed to observe the terms and conditions of this agreement, HWDD will notify the recipient of the concerns. The recipient is required to provide adequate documentation or information to establish HWDD's satisfaction that the concerns are without merit, or to remedy the situation within 30 days or within a reasonable timeframe agreed to by both parties. Use Constraints: The State of California, the California Health and Human Services Agency and the Office of Statewide Health Planning and Development make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State, the Agency or the Office liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the California Health and Human Services Agency and/or the Office as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition. 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: Registered Nurse Shortage Areas, California, 2015

    Contributors:

    Summary: This polygon shapefile contains registered nursing shortage areas (RNSAs) in California for 2014. The Commission uses the RNSA as only one of many factors to determine Song-Brown funding for nursing education programs. The RNSA does not in itself determine funding or funding levels. The method for determining the RNSA is a function of the number of licensed nurses (supply) and patient volume (demand). The analysis performed uses annual data requested from the Board of Registered Nurses and patient count - hospital utilization data from OSHPD HIRC and compiled/analyzed on a county basis. Final designation is determined when a county (1) lacks a general acute care hospital (GAC) and a long-term care (LTC) facility and (2) is above the mean ratio of available nurses to patient volume. The ratio is the total number of bed days for GACs and LTC facilities multiplied by .08 and divided by the number of registered nurses (RNs) in the specific county. Three factors are used in defining nursing shortages: (1) California counties (as the geographic unit for analysis), (2) California registered nurse data of all active licenses by county from the Board of Registered Nursing (BRN), Department of Consumer Affairs , and (3) the patient day and census data from all LTCs and GACs from OSHPD. OSHPD maintains data on patient volume for GACs and LTCs. These data are maintained in the OSHPD Automated Licensing Information and Report Tracking System (ALIRTS) program. These locations employ nearly 70% of the total nursing workforce in California. No current data exist on patient volume for the other 30% of the workforce. OSHPD facility census data for year of evaluation were obtained by county. There are more licensed bed days in LTCs than GACs in California and LTCs only account for 5% of the registered nurse workforce. Therefore, a scale factor representing the percent of the nursing workforce at LTCs in this function was applied to ensure the census data were not skewed. A total census was created by summing the two numbers and a ratio was used of census divided by registered nurses for each of the 58 counties. Ratio Equation: SUM(CensusDaysGAC + [(PatientDaysLTC) * 0.08]) / RNCount. Where: CensusDaysGAC is the number of days a patient is occupying a bed in General Acute Care Hospitals in year of evaluation. PatientDaysLTC is the number of days a patient is occupying a bed in Long-Term Care Facilities in year of evaluation. RNCount is the number of licensed, active registered nurses per county in year of evaluation .These data were collected beginning in October 2014.Data collection begins in October 2014. The data being analyzed are for 2014 (year of evaluation). Total Population was taken from American Community Survery 2010 Estimates.There will always be a lag (of a year or more) due to the availability of the data. The reports to the Commission are usually presented at the public meeting for registered nursing programs every year. This version was presented to the Commission on March 4, 2015. This layer is part of the Healthcare Atlas of California. The Commission requires a quantitative, repeatable and meaningful way of ranking applications whose past graduates and training facilities operate in areas of unmet need (e.g. shortages). Determining nursing shortage areas is extremely different than determining physician shortage areas. Nurses are nearly entirely employed at licensed health facilities, while physicians have multiple practice locations in the field. Therefore, the Commission has adopted a California Registered Nurse Shortage Area (RNSA) as a function of (1) facilities at which nurses are predominantly employed (2) the volume of patients at these facilities and (3) available licensed nurses to work at these locations. This function provides an aggregate ratio of patient demand to nurse availability. For this designation, counties are used as the analytical unit. California. Office of Statewide Health Planning and Development. (2015). Registered Nurse Shortage Areas, California, 2015. California. Office of Statewide Health Planning and Development. Available at: http://purl.stanford.edu/rd839bd7735. 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: Mental Health Professional Shortage Areas, California, 2014

    Contributors:

    Summary: This polygon shapefile contains mental health professional shortage areas (HPSAs) in California. The federal HPSA designation (formerly Health Manpower Shortage Areas) identifies areas as having a shortage of mental health providers on the basis of availability of psychiatrist and mental health professionals. To qualify for designation as a Mental HPSA, an area must be: 1. A rational service area for the delivery of mental health services, 2. A lack of access to care provided by Core Mental Health Professionals (CMHP) in the area, and 3. One of the following conditions prevails in the area: a. The population to CMHP ratio is > 6,000:1, and the population to psychiatrist ratio is > 20,000:1, OR b. The population to CMHP ratio is > 9,000:1 OR c. The population to psychiatrist ratio is > 30,000:1. Benefits of designation as a HPSA include: student loan repayment and personnel placement through the National Health Service Corps (NHSC) improved Medicare reimbursement enhanced federal grant eligibility. This is version 7 of this data (updated July 2014). This layer is part of the Healthcare Atlas of California. This data was developed by the Office of Statewide Health Planning and Development's (OSHPD) Healthcare Workforce and Community Development Division (HWCDD). The data is used to support the following programatic areas: 1) encourage demographically underrepresented groups to pursue healthcare careers 2) identifies geographic areas of unmet need, and 3) encourages primary care physicians and non-physician practitioners to provide healthcare in medically underserved areas in California. California Office of Statewide Health Planning and Development. (2014). Mental Health Professional Shortage Areas, California, 2014. California Office of Statewide Health Planning and Development. Available at: http://purl.stanford.edu/pw937gd8367. 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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  19. Title: Dental Health Professional Shortage Areas, California, 2014

    Contributors:

    Summary: This polygon shapefile contains dental health professional shortage areas (HPSAs) in California. The federal Dental HPSA designation (formerly Health Manpower Shortage Areas) identifies areas as having a shortage of dental providers on the basis of availability of dentists and dental auxiliaries. To qualify for designation as a Dental HPSA, an area must be: 1. A rational service area, [the Federal Shortage Designation Branch recognizes Medical Services Study Areas as rational service areas.] 2. Population to general practice dentist ratio: 5,000:1 or 4,000:1 plus population features demonstrating "unusually high need." 3. A lack of access to dental care in surrounding areas because of distance, overutilization, or access barriers. Benefits of designation as a Dental HPSA include: Student loan repayment and personnel placement through the National Health Service Corps (NHSC); Eligibility for the California State Loan Repayment Program; Scholarships for dental training in return for service in a shortage area; and Funding priorities for training in general practice dentistry in programs that provide substantial training in shortage areas. This is version 7 of the data. (Updated: July 2014). This layer is part of the Healthcare Atlas of California. This data was developed by the Office of Statewide Health Planning and Development's (OSHPD) Healthcare Workforce and Community Development Division (HWCDD). The data is used to support the following programatic areas: to encourage demographically underrepresented groups to pursue healthcare careers, to identify geographic areas of unmet need, and to encourage primary care physicians and non-physician practitioners to provide healthcare in medically underserved areas in California. California Office of Statewide Health Planning and Development. (2014). Dental Health Professional Shortage Areas, California, 2014. California Office of Statewide Health Planning and Development. Available at: http://purl.stanford.edu/kp852tr6927. The State of California, the California Health and Human Services Agency and the Office of Statewide Health Planning and Development make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State, the Agency or the Office liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the California Health and Human Services Agency and/or the Office as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition. There are no restrictions on distribution of the data by users 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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  20. Title: Primary Care Health Professional Shortage Areas, California, 2014

    Contributors:

    Summary: This polygon shapefile contains primary health care professional shortage areas (HPSAs) in California. The federal HPSA designation identifies areas as having a shortage of health care providers on the basis of availability of primary care physicians. To qualify for designation as a HPSA, an area must be: 1. A rational service area, [the Federal Shortage Designation Branch recognizes Medical Service Study Areas in California as rational service areas.] 2. Population to primary care physician ratio: 3,500:1 or 3,000:1 plus population features demonstrating "unusually high need". 3. A lack of access to health care in surrounding areas because of excessive distance, over-utilization, or access barriers. Benefits of designation as a HPSA include: Student loan repayment and personnel placement through the National Health Service Corps (NHSC); Improved Medicare reimbursement. Physicians in geographic HPSAs are automatically eligible for a 10% increase in Medicare reimbursement; Eligibility for Rural Health Clinics (a prospective payment method designed to enhance access to primary health care in rural underserved areas); Eligibility for the California State Loan Repayment Program; Enhanced federal grant eligibility; and Funding preference for primary care physician, physician assistant, nurse practitioner, and nurse midwife programs that provide substantial training experience in HPSAs. The original legislation was enacted by Congress in the 1970s, Section 332 of the U.S. Public Health Service Act (as amended); Health Care Safety Net Amendments authorized automatic facility HPSA process for Federally Qualified Health Centers (FQHC), and Rural Health Centers (RHC). Authorizes the Secretary of U.S. Department of Health and Human Services to designate shortage areas delegated to Health Resources and Services Administration/Bureau of Health Professions/ National Center for Health Workforce Analysis/Shortage Designation Branch. This is version 7 of this data (updated: July 2014). This layer is part of the Healthcare Atlas of California. This data was developed by the Office of Statewide Health Planning and Development's (OSHPD) Healthcare Workforce and Development Division (HWDD). The data is used to support the following programatic areas: 1) encourage demographically underrepresented groups to pursue healthcare careers 2) identifies geographic areas of unmet need, and 3) encourages primary care physicians and non-physician practitioners to provide healthcare in medically underserved areas in California. California Office of Statewide Health Planning and Development. (2014). Primary Care Health Professional Shortage Areas, California, 2014. California Office of Statewide Health Planning and Development. Available at: http://purl.stanford.edu/qr661sz3557. 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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