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Find GIS data held at MIT and other institutions

78 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

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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: 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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  5. Title: CDBG Activity, 1998-2015

    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. Data Current As Of: 9/25/2016 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, 1998-2015. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/tn917bf6519.

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  6. 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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  7. Title: HOME Activity by Tract, 2016

    Contributors:

    Summary: This polygon shapefile contains Home Investment Partnerships Program (HOME) activity data at the tract level. HOME is a program of federal block grants distributed via formula to states and local governments. Participating jurisdictions may use HOME funds for a variety of housing activities, according to local housing needs. Eligible uses of funds include tenant-based rental assistance; housing rehabilitation; assistance to homebuyers; and new construction of housing. HOME funding may also be used for site acquisition, site improvements, demolition, relocation, and other necessary and reasonable activities related to the development of non-luxury housing. Funds may not be used for public housing development, public housing operating costs, or for Section 8 tenant-based assistance, nor may they be used to provide non-federal matching contributions for other federal programs, for operating subsidies for rental housing, or for activities under the Low-Income Housing Preservation Act. The locations of HOME 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 at 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 tracts are included, except for those that have a Total Activity Count = 0 or the Total Activity Count is NULL. Data Current As Of: 5/4/2016 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 Activity by Tract, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/bk686cy3430.

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  8. Title: ACS 5 Year CHAS Data by Summary Level 080, 2008-2012

    Contributors:

    Summary: This polygon shapefile contains Comprehensive Housing Affordability Strategy (CHAS) data at the geographic summary level 080 (State - County - County Subdivision - Place/Remainder - Tract). 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. 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 Summary Level 080, 2008-2012. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/rc622nx6841.

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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/tk890cv5706. To learn more: please visit: http://portal.hud.gov/hudportal/HUD?src=/program_offices/housing/fhahistory

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  10. 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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  11. 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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  12. 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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  13. Title: Low Income Housing Tax Credit Properties, 1987-2014

    Contributors:

    Summary: The Low-Income Housing Tax Credit (LIHTC) is the most important resource for creating affordable housing in the United States today. The LIHTC database, created by HUD and available to the public since 1997, contains information on 33,777 projects and almost 2,203,000 housing units placed in service between 1987 and 2009. Created by the Tax Reform Act of 1986, the LIHTC program gives State and local LIHTC-allocating agencies the equivalent of nearly $8 billion in annual budget authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. Although some data about the program have been made available by various sources, HUDs database is the only complete national source of information on the size, unit mix, and location of individual projects. With the continued support of the national LIHTC database, HUD hopes to enable researchers to learn more about the effects of the tax credit program. The LIHTC property locations depicted in this map service represent the general location of the property. The locations of individual buildings associated with each property are not depicted here. The location of the property is derived from the address of the building with the most units. Data included are for projects and housing units placed in service between 1987 and 2014. Original Release Date: 8/22/2016 Last Revision Date: 8/22/2016 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). Low Income Housing Tax Credit Properties, 1987-2014. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/xj139js1811.

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  14. Title: LED for HOPWA 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 Housing Opportunities for Persons with AIDS (HOPWA) information to create the grantee areas. The 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. To learn more about the LED data, please visit the following website: http://lehd.ces.census.gov/ To learn more about the HOPWA program, please visit the following website: http://portal.hud.gov/hudportal/HUD?src=/program_offices/comm_planning/aidshousing Data is current as: 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 HOPWA Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/tr455mc1932.

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  15. Title: Units of General Local Government, 2016

    Contributors:

    Summary: The term "Unit of General Local Government" (UGLG) means a city, county, town, parish, village, or other general-purpose political subdivision of a State. UGLGs are comprised of several Census geographies, summary level 050 (State-County), summary level 060 (County Subdivision), summary level 070 (State-County-County Subdivision-Place/Remainder), summary level 160 (Place), summary level 170 (State-Consolidate City) and the remainder of county boundaries. This version has the CPD entitlement grantees removed. Data Current As Of: FY 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). Units of General Local Government, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/hb190bj4432.

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  16. 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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  17. 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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  18. Title: LED for CoC Grantee Areas, 2015

    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 Continuum of Care (CoC) information to create the grantee areas. The Continuum of Care (CoC) Homeless Assistance Programs administered by HUD award funds competitively and require the development of a Continuum of Care system in the community where assistance is being sought. A continuum of care system is designed to address the critical problem of homelessness through a coordinated community-based process of identifying needs and building a system to address those needs. The approach is predicated on the understanding that homelessness is not caused merely by a lack of shelter, but involves a variety of underlying, unmet needs - physical, economic, and social. Funds are granted based on the competition following the Notice of Funding Availability (NOFA). Data is current as of: 2015, 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 CoC Grantee Areas, 2015. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/zz345gm3835. To learn more about the LED data, please visit the following website: http://lehd.ces.census.gov/To learn more about the CoC program, please visit the following Website: http://portal.hud.gov/hudportal/HUD?src=/program_offices/comm_planning/communitydevelopment/programs.

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  19. 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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  20. Title: ACS 5 Year Housing Data by State, 2008-2012

    Contributors:

    Summary: 5-year American Community Survey estimates of housing variables (see below) at the state level released in 2012. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.The American Community Survey (ACS) 5 Year 2008-2012 housing information is a subset of information available for download. Downloaded tables include: B25002 - Occupancy Status, B25009 - Tenure By Household Size, B25021 - Median Number Of Rooms By Tenure, B25024 - Units In Structure, B25032 - Tenure by Units In Structure, B25036 - Tenure By Year Structure Built, B25037 - Median Year Structure Built By Tenure, B25041 - Bedrooms, B25042 - Tenure By Bedrooms, B25056 - Contract Rent, B25058 - Median Contract Rent, B25068 - Bedrooms By Gross Rent, B25077 - Median Value, B25097 - Mortgage Status By Median Value (Dollars) and B25123 - Tenure By Selected Physical And Financial Conditions. Data is current as of: 2/10/2016 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). ACS 5 Year Housing Data by State, 2008-2012. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/jv400qp1099. To download additional housing information, visit: http://www.census.gov/acs/www

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