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77 results returned

  1. Title: Plan af Helsingfors

    Contributors:

    Summary: Cartographic Details: Scale approximately 1:8,500. Facsimile. Relief shown by hachures. Cadastral map. Includes indexes and inset of Helsinki region. 1 map : color ; 39 x 53 centimeters Scale approximately 1:8,500 General Map Collection

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  2. Title: Plan of Detroit Woodward,Augustus Brevoort.

    Contributors:

    Summary: Facsimile. "Reproduced ... from the original in the Cornell University Library." "This is number 125 of an edition limited to 500 copies." 1 map; 26 x 21 cm, on sheet 48 x 38 cm

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  3. Title: Industrial land use in Sydney

    Contributors:

    Summary: Includes 21 insets of land use of towns and districts. Includes names of towns and districts. On back of sheet: "from study with same title, may 1975"

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  4. Title: ACS 5 Year CHAS Data by County, 2008-2012

    Contributors:

    Summary: This polygon shapefile contains Comprehensive Housing Affordability Strategy (CHAS) data at the county level. The CHAS is derived from the American Community Survey (ACS) data, which has a smaller sample size than the Decennial Census (which was the basis of the 2000 CHAS). As a result, the Census Bureau cannot produce data using only one year of survey responses, except in very populous areas. For areas with population 65,000 or greater, ACS estimates are available each year using only the most recent year’s survey responses (known as "1-year data"). For areas with population 20,000 or greater, ACS estimates are available each year based on averages of the previous three years of survey responses ("3-year data"). For areas with population less than 20,000—including all census tracts, and many places, counties, and minor civil divisions—the only ACS estimates available are based on averages of the previous five years of survey responses ("5-year data"). The primary purpose of the CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUDs programs (primarily 30, 50, and 80 percent of median income). It is also important to consider the prevalence of housing problems among different types of households, such as the elderly, disabled, minorities, and different household types. The CHAS data provide counts of the numbers of households that fit these HUD-specified characteristics in HUD-specified geographic areas. In addition to estimating low-income housing needs, the CHAS data contribute to a more comprehensive market analysis by documenting issues like lead paint risks, affordability mismatch, and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building. Dataset uses custom HAMFI figures calculated by HUD PDR staff based on 2008-2012 ACS income data. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). ACS 5 Year CHAS Data by County, 2008-2012. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/dw607bb8018.

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  5. Title: Housing Choice Vouchers by Tract, 2016

    Contributors:

    Summary: The U.S. Department of Housing and Urban Developments (HUD) Housing Choice Voucher Program (HCVP) is the federal government's major program for assisting very low-income families, the elderly, and the disabled to afford decent, safe, and sanitary housing in the private market. Since housing assistance is provided on behalf of the family or individual, participants are able to find their own housing, including single-family homes, townhouses and apartments. The participant is free to choose any housing that meets the requirements of the program and is not limited to units located in subsidized housing projects. Housing choice vouchers (HCV) are administered locally by public housing agencies (PHAs). The PHAs receive federal funds from HUD to administer the voucher program. A family that is issued a housing voucher is responsible for finding a suitable housing unit of the family's choice where the owner agrees to rent under the program. This unit may include the family's present residence. Rental units must meet minimum standards of health and safety, as determined by the PHA. A housing subsidy is paid to the landlord directly by the PHA on behalf of the participating family. The family then pays the difference between the actual rent charged by the landlord and the amount subsidized by the program. Under certain circumstances, if authorized by the PHA, a family may use its voucher to purchase a modest home. HCV locations are identified in public records by the owner and not the tenant so access to this information is restricted to help safeguard the location of HCV units. Due to the sensitive nature of the HCV locations, these are aggregated to the 2010 Census Tract geography. Data is current as of: 09/30/2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). Housing Choice Vouchers by Tract, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/zv925rc3856.

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  6. Title: ESG Grantee Areas, 2016

    Contributors:

    Summary: The Emergency Solutions Grants (ESG), formally the Emergency Shelter Grants, program is designed to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and provide the services necessary to help those persons quickly regain stability in permanent housing after experiencing a housing crisis and/or homelessness. The ESG is a non-competitive formula grant awarded to recipients which are state governments, large cities, urban counties, and U.S. territories. Recipients make these funds available to eligible sub-recipients, which can be either local government agencies or private nonprofit organizations. The recipient agencies and organizations, which actually run the homeless assistance projects, apply for ESG funds to the governmental grantee, and not directly to HUD. Original Release Date: FY2016. Last Revision Date: 8/31/2016. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). ESG Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/xg893mk2491. To learn more about the ESG program, please visit the following website: http://portal.hud.gov/hudportal/HUD? src=/program_offices/comm_planning/homeless/programs/esg

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  7. Title: CDBG Activity by Tract, 1996-2016

    Contributors:

    Summary: The Community Development Block Grant (CDBG) is a federal block grant distributed via formula to states and local governments. States and local governments use these grant funds to carry out housing, economic development, public services, and public improvement activities that serve low- and moderate-income people. The locations of CDBG activities are derived from addresses provided by HUD grantees from 1996 to present in HUDs Integrated Disbursement and Information System (IDIS). Until recently, these addresses were not validated on point of entry. The prevalence of missing or incorrect address data means that HUD cannot guarantee the accuracy of these locations. However, due to recent improvements to IDIS, HUD expects the quality of activity locations to improve over time. All CDBG activities in the categories of acquisition, economic development, housing, public improvements, public services, and other summarized by Census tract. All tracts are included, except for those that have a Total Activity Count = 0 or the Total Activity Count is NULL. Data Current As Of: 05/11/2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). CDBG Activity by Tract, 1996-2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/tf583jc3452.

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  8. Title: HUD Insured Multifamily Properties, 2016

    Contributors:

    Summary: This point shapefile contains the locations of Department of Housing and Urban Development (HUD) insured multifamily properties. HUD's multifamily property portfolio consists primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also be nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. The portfolio can be broken down into two basic categories: insured and assisted. HUD provides subsidies and grants to property owners and developers designed to promote the development and preservation of affordable rental units for low-income populations and those with special needs, such as the elderly and disabled. The three largest assistance programs for Multifamily housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. Data Current As Of: 09/30/2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). HUD Insured Multifamily Properties, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/tp266dc1884.

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  9. Title: FHA Insurance in Force by Tract, 2016

    Contributors:

    Summary: The Federal Housing Administration, generally known as "FHA", provides mortgage insurance on loans made by FHA-approved lenders throughout the United States and its territories. FHA insures mortgages on single family and multifamily homes including manufactured homes and hospitals. It is the largest insurer of mortgages in the world, insuring over 34 million properties since its inception in 1934. The insurance in force represents the outstanding balance of an active loan. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all records are able to be geocoded and mapped, we are continuously working to improve the address data quality and enhance coverage. Note that this file only includes x, y coordinates and associated attributes for those addresses that can be geocoded to an interpolated point along a street segment, or to the centroid of the nearest U.S. Census block. Please consider this issue when using any datasets provided by HUD. Data is current as of 09/30/2016. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). FHA Insurance in Force by Tract, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/mk300bj2992. To learn more: please visit: http://portal.hud.gov/hudportal/HUD?src=/program_offices/housing/fhahistory

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  10. Title: Fair Market Rents, 2016

    Contributors:

    Summary: Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program. FMRs are also used to determine the initial renewal rents for some expiring project-based Section 8 contracts, initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME Investment Partnership Program (HOME) for rental assistance. HUD annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. By law the final FMRs for use in any Fiscal Year must be published and available for use at the start of that Fiscal Year, on October 1. Data Curent As Of: Fiscal Year-2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). Fair Market Rents, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/jx876vw5031. FMR Area Information for Fiscal Year 2016; documentation at the following website: http://www.huduser.org/portal/datasets/fmr/fmrs/docsys.html&data=fmr15

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  11. Title: CDBG Grantee Areas, 2016

    Contributors:

    Summary: This polygon shapefile represents the boundaries of Community Development Block Grant (CDBG) Entitlement Communities and State Administered CDBG grantees. The CDBG program is a flexible program that provides communities with resources to address a wide range of unique community development needs. Beginning in 1974, the CDBG program is one of the longest continuously run programs at HUD. The CDBG program provides annual grants on a formula basis to of local and state governments. The annual CDBG appropriation is allocated between States and local jurisdictions called "non-entitlement" and "entitlement" communities respectively. Entitlement communities are comprised of the principal cities of Metropolitan Statistical Areas (MSAs); metropolitan cities with populations of at least 50,000; and qualified urban counties with a population of 200,000 or more (excluding the populations of entitlement cities). States distribute CDBG funds to non-entitlement localities not qualified as entitlement communities. HUD determines the amount of each grant by using a formula comprised of several measures of community need, including the extent of poverty, population, housing overcrowding, age of housing, and population growth lag in relationship to other metropolitan areas. Original Release The HOME Investment Partnership Program (HOME) is authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act. HOME provides formula grants to States and localities that communities use often in partnership with local nonprofit groups to fund a wide range of activities that build, buy, and/or rehabilitate affordable housing for rent or homeownership or provide direct rental assistance to low-income people. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). CDBG Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/xf190my5176. To learn more about the HOME program, please visit the following website: http://www.hud.gov/offices/cpd/affordablehousing/programs/home/index.cfm To learn more about the CDBG program, please visit the following website: http://portal.hud.gov/hudportal/HUD?src=/program_offices/comm_planning/communitydevelopment/programs.

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  12. Title: Public Housing Buildings, 2016

    Contributors:

    Summary: Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by some 3,300 housing agencies (HAs). HUD administers Federal aid to local housing agencies (HAs) that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments. Public Housing Developments are depicted as a distinct address chosen to represent the general location of an entire Public Housing Development, which may be comprised of several buildings scattered across a community. The building with the largest number of units is selected to represent the location of the development. Location data for HUD-related properties and facilities are derived from HUDs enterprise geocoding service. While not all records are able to be geocoded and mapped, we are continuously working to improve the address data quality and enhance coverage. Note that this file only includes x, y coordinates and associated attributes for those addresses that can be geocoded to an interpolated point along a street segment, or to the centroid of the nearest U.S. Census block.Please consider this issue when using any datasets provided by HUD. The tenant characteristics for each building are suppressed with a -4 value when the Number_Reported. Data Current as of: 9/30/2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). Public Housing Buildings, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/xf698qm4616. CREDIT

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  13. Title: LED for HOME Grantee Areas, 2016

    Contributors:

    Summary: The U.S. Census Bureau, Center for Economic Studies, annual Local Employment Dynamics (LED) database provides a summary of job and worker counts and shares by industry sector. LED data is available at the Census Block geography and aggregated to Summary Level 070 (State + County + County Subdivision + Place/Remainder) geography where it is combined with the HOME Investment Partnership Program (HOME) information to create the grantee areas. The HOME Investment Partnership Program (HOME) is authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act. HOME provides formula grants to States and localities that communities use often in partnership with local nonprofit groups to fund a wide range of activities that build, buy, and/or rehabilitate affordable housing for rent or homeownership or provide direct rental assistance to low-income people. Data is current as of Fiscal Year 2016, Census LED: 2013 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). LED for HOME Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/dz641wp6300. To learn more about the LED data, please visit the following website: http://lehd.ces.census.gov/To learn more about the CDBG program, please visit the following ebsite: http://portal.hud.gov/hudportal/HUD?src=/hudprograms/home-program

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  14. Title: HOPWA Grantee Areas, 2016

    Contributors:

    Summary: The Housing Opportunities for Persons with AIDS (HOPWA) program funds are distributed to states and cities by formula allocations and made available as part of the area's Consolidated Plan. Persons living with HIV/AIDS and their families may require housing that provides emergency, transitional, or long-term affordable solutions. In addition, some projects are selected in national competitions to serve as service delivery models or operate in non-formula areas. Grantees partner with nonprofit organizations and housing agencies to provide housing and support to beneficiaries. Data Current As Of: FY2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). HOPWA Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/dh985jg7092. To learn more about the HOPWA program, please visit the following website: http://portal.hud.gov/hudportal/HUD?src=/program_offices/comm_planning/aidshousing.

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  15. Title: HUD Insured Hospitals, 2016

    Contributors:

    Summary: This point shapefile contains the locations of Department of Housing and Urban Development (HUD) insured hospitals. HUD's multifamily property portfolio consists primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also be nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. The portfolio can be broken down into two basic categories: insured and assisted. HUD provides subsidies and grants to property owners and developers designed to promote the development and preservation of affordable rental units for low-income populations and those with special needs, such as the elderly and disabled. The three largest assistance programs for Multifamily housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. Data Current As Of: 09/30/2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). HUD Insured Hospitals, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/dh400dz3578.

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  16. Title: HUD Field Offices, 2016

    Contributors:

    Summary: This point shapefile contains the locations of the United States Department of Housing and Urban Development (HUD) field offices. HUD is organized into 10 Regions where each Region is managed by a Regional Administrator, who also oversees the Regional Office. Each Field Office within a Region is managed by a Field Office Director, who reports to the Regional Administrator. There is at least one HUD Field Office in every State and a total of 10 Regional Offices. Staff who answer the main office telephone will be able to respond to or direct your calls to the appropriate person. Data Current As Of: July 1st 2014 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2014). HUD Field Offices, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/tx594ht3237.

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  17. Title: FHA Insurance in Force by Tract, 2016

    Contributors:

    Summary: The Federal Housing Administration, generally known as "FHA", provides mortgage insurance on loans made by FHA-approved lenders throughout the United States and its territories. FHA insures mortgages on single family and multifamily homes including manufactured homes and hospitals. It is the largest insurer of mortgages in the world, insuring over 34 million properties since its inception in 1934. The insurance in force represents the outstanding balance of an active loan. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all records are able to be geocoded and mapped, we are continuously working to improve the address data quality and enhance coverage. Note that this file only includes x, y coordinates and associated attributes for those addresses that can be geocoded to an interpolated point along a street segment, or to the centroid of the nearest U.S. Census block. Please consider this issue when using any datasets provided by HUD. Data is current as of 09/30/2016. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). FHA Insurance in Force by Tract, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/tk890cv5706. To learn more: please visit: http://portal.hud.gov/hudportal/HUD?src=/program_offices/housing/fhahistory

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  18. Title: Homeownership Centers by State, 2012

    Contributors:

    Summary: This polygon shapefile contains information on HUD Homeownership Centers (HOCs) at the state boundary level. HOCs insure single family Federal Housing Administration (FHA) mortgages and oversee the selling of HUD homes. FHA has four Homeownership Centers that are organized to serve specific states; Atlanta, Philadelphia, Denver and Santa Ana. Data is current as of 11/16/2012. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). Homeownership Centers by State, 2012. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/vh414kj5049.

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  19. Title: HOME Grantee Areas, 2016

    Contributors:

    Summary: This polygon shapefile represents the boundaries of HOME Investment Partnership Program (HOME) grantee areas. HOME is authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act. HOME provides formula grants to States and localities that communities use often in partnership with local nonprofit groups to fund a wide range of activities that build, buy, and/or rehabilitate affordable housing for rent or homeownership or provide direct rental assistance to low-income people. Data Current As Of: Fiscal Year 2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). HOME Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/ts491mv0668. To learn more about the HOME program, please visit the following website: http://www.hud.gov/offices/cpd/affordablehousing/programs/home/index.cfm

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  20. Title: Underserved Areas, United States, 2016

    Contributors:

    Summary: This polygon shapefile contains underserved area designations for census tracts in Metropolitan Statistical Areas (MSAs), nonmetropolitan parts of states and Federal and State American Indian Reservations and tribal and individual trust lands. The following are the definitions of underserved geographical areas based on HUDs housing goals regulations at 24 CFR Section 81.2. a. Central Cities and Other Parts of Metropolitan Areas (i) A census tract with median income at or below 120 percent of the median income of the metropolitan area (MSA) and a minority population of 30 percent or greater; or (ii) A census tract with median income at or below 90 percent of median income of the MSA. b. Nonmetropolitan Areas (i) A census tract with median income at or below 120 percent of the greater of the State nonmetropolitan median income or the nationwide nonmetropolitan median income and a minority population of 30 percent or greater; or (ii) A census tract with median income at or below 95 percent of the greater of the State nonmetropolitan median income or the nationwide nonmetropolitan median income. c. Tribal Lands in Metropolitan Areas (i) A Federal or State American Indian reservation or tribal or individual trust land with a median income at or below 120 percent of the median income of the MSA and a minority population of 30 percent or greater; or (ii) A Federal or State American Indian reservation or tribal or individual trust land with a median income at or below 90 percent of median income of the MSA. d. Tribal Lands in Nonmetropolitan Areas (i) A Federal or State American Indian reservation or tribal or individual trust land with a median income at or below 120 percent of the greater of the state nonmetropolitan median income or the nationwide nonmetropolitan median income and a minority population of 30 percent or greater; or (ii) A Federal or State American Indian reservation or tribal or individual trust land with a median income at or below 95 percent of the greater of the state nonmetropolitan median income or the nationwide nonmetropolitan median income. e. Tribal Lands that Cross Metropolitan / Nonmetropolitan Area and/or State Boundaries For certain Federal or State American Indian reservations or tribal or individual trust lands, the tribal area crosses an MSA or state boundary. In these cases, the median incomes of the MSA or MSAs, the nonmetropolitan area of the state or states, or the nationwide nonmetropolitan area that applies to the tract containing the tribal area determines whether the part of the Federal or State American Indian reservation or tribal or individual trust land is underserved. METHODOLOGY: Whether a tract has 30 percent or more minority population is determined by rounding 30 percent of the tracts population to the nearest person, and comparing this to the count of minority persons in the area. The applicable percentage of area median income and whether the tracts median income is below it is determined by rounding the applicable percentage of area median income to the nearest dollar and comparing this to tract median family income. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). Underserved Areas, United States, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/xh908xh0214.

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