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  1. Title: USA (Core Based Statistical Areas CBSA, 2003)

    • Polygon data
    • 2008
    Contributors:

    Summary: The United States Core Based Statistical Areas (CBSA) Boundaries data set contains the boundaries for metropolitan and micropolitan statistical areas in the United States. The data set contains information on location, identification, and size. The database includes metropolitan and micropolitan boundaries within all 50 states, the District of Columbia, and Puerto Rico.Combined statistical areas are groupings of adjacent metropolitan and/or micropolitan statistical areas that have social and economic ties as measured by commuting to work, but at lower levels than are found among counties within individual metropolitan and micropolitan statistical areas. Combined statistical areas can be characterized as representing larger regions that reflect broader social and economic interactions, such as wholesaling, commodity distribution, and weekend recreation activities, and are likely to be of considerable interest to regional authorities and the private sector. Each metropolitan or micropolitan statistical area consists of a core area containing a substantial population nucleus, together with adjacent communities having a high degree of economic and social integration with that core. Metropolitan statistical areas contain at least one U.S. Census Bureau-defined urbanized area of 50,000 or more population; micropolitan statistical areas contain at least one Census Bureau-defined urban cluster of at least 10,000 and less than 50,000 population. If specified criteria are met, a metropolitan statistical area containing a single urbanized area with a population of 2.5 million or more may be subdivided into metropolitan divisions, which function as distinct social and economic areas within the larger metropolitan statistical area.

  2. Title: USA (109th Congressional Districts, 2005)

    • Polygon data
    • 2005
    Contributors:

    Summary: The 109th Congressional District Boundaries data set contains geographic information for the political entities of the 109th Congressional districts.

  3. Title: USA (108th Congressional Districts, 2003)

    • Polygon data
    • 2003
    Contributors:

    Summary: The 108th Congressional District Boundaries data set contains geographic information for the political entities of the 108th Congressional districts.

  4. Title: USA (107th Congressional Districts, 2001)

    • Polygon data
    • 2001
    Contributors:

    Summary: The 107th Congressional District Boundaries data set contains geographic information for the political entities of the 107th Congressional districts.

  5. Title: USA (106th Congressional Districts, 1999)

    • Polygon data
    • 1999
    Contributors:

    Summary: The 106th Congressional District Boundaries data set contains geographic information for the political entities of the 106th Congressional districts.

  6. Title: USA (105th Congressional Districts, 1997)

    • Polygon data
    • 1997
    Contributors:

    Summary: The 105th Congressional District Boundaries data set contains geographic information for the political entities of the 105th Congressional districts.

  7. Title: USA (104th Congressional Districts, 1995)

    • Polygon data
    • 1995
    Contributors:

    Summary: The 104th Congressional District Boundaries data set contains geographic information for the political entities of the 104th Congressional districts.

  8. Title: USA (103rd Congressional Districts, 1993)

    • Polygon data
    • 1993
    Contributors:

    Summary: The 103rd Congressional District Boundaries data set contains geographic information for the political entities of the 103rd Congressional districts.

  9. Title: USA (111th Congressional Districts, 2009)

    • Polygon data ; Point data
    • 2009
    Contributors:

    Summary: The 111th Congressional District Boundaries data set contains geographic information for the political entities of the 111th Congressional districts.

  10. Title: USA (Hydrographic Features (line), 2000)

    • Line data ; Point data ; Polygon data
    • 2008
    Contributors:

    Summary: The hydro polygon/arc coverages were created using TIGER/LINE 2000 shapefile data gathered from ESRI's Geography Network. The individual county hydrography line shapefiles were processed into Arc/Info coverages and then appended together to create complete state coverages. They were then edited to remove unwanted features, leaving a state-by-state database of both important and navigable water features. Attributes were added to denote navigable features and names. Also, an attribute was added to the polygons to denote which were water and which were land features.The state databases were then appended together to create a single, nationwide hydrography network containing named arcs and polygons. These features also contain a state FIPS. Because some of the hydro features are represented by lines instead of polygons, the complete hydro dataset consists of 2 shapefiles, one for lines and one for polygons. They must be used together to paint a complete picture.

  11. Title: USA (Hydrographic Features (polygon), 2000)

    • Polygon data ; Point data
    • 2008
    Contributors:

    Summary: The hydro polygon/arc coverages were created using TIGER/LINE 2000 shapefile data gathered from ESRI's Geography Network. The individual county hydrography line shapefiles were processed into Arc/Info coverages and then appended together to create complete state coverages. They were then edited to remove unwanted features, leaving a state-by-state database of both important and navigable water features. Attributes were added to denote navigable features and names. Also, an attribute was added to the polygons to denote which were water and which were land features.The state databases were then appended together to create a single, nationwide hydrography network containing named arcs and polygons. These features also contain a state FIPS. Because some of the hydro features are represented by lines instead of polygons, the complete hydro dataset consists of 2 shapefiles, one for lines and one for polygons. They must be used together to paint a complete picture.

  12. Title: USA (110th Congressional Districts, 2007)

    • Polygon data ; Point data
    • 2008
    Contributors:

    Summary: The 110th Congressional District Boundaries data set contains geographic information for the political entities of the 110th Congressional districts.

  13. Title: Lawrence, MA (Census Block Groups, 1990)

    • Polygon data
    • 2002
    Contributors:

    Summary: 1990 census data for the City of Lawrence. Data is aggregated at the block group level

  14. Title: Lawrence, MA (Census Block Groups, 2000)

    • Polygon data
    • 2002
    Contributors:

    Summary: The 2000 censuss data of Lawrence, MA, at the block group level

  15. Title: Boston, MA (US Census Blocks 2000)

    • Polygon data
    • 2000
    Contributors:

    Summary: These data are a selection of geographic and cartographic information from the 1998 TIGER/Line files detailing blocks. This dataset includes geographic blocks, tabulation block, and block number record locations.

  16. Title: Atlanta, GA (Cities and Municipalities, 2000)

    • Polygon data
    • 2000
    Contributors:

    Summary: This layer was derived from the 2000 TIGER files that are based on the boundary and annexation data provided by local governments. It has been updated in some areas by ARC. In order to get a more accurate depiction of this Theme, it may be necessary to remove "island" polygons, those areas contained within larger polygons that are not part of incorporated municipalities. This can be accomplished by querying for NAME = " (blank) to identify those records in the NAME data field which contain no values.The complete collection of Atlanta region geospatial datasets is available on CD in the GIS Lab at Rotch Library with the following call number: CDROM G3924.A8 2002.A7.

  17. Title: USA (Urbanized Area Boundaries, 2003)

    • Polygon data
    • 2003
    Contributors:

    Summary: The Bureau of the Census Urbanized Area Boundaries data set contains boundary information for urban areas with a population greater than 50,000. The data set includes boundaries for urban areas in all 50 states, the District of Columbia, and Puerto Rico. A UA may contain both place and nonplace territory. The U.S. Census Bureau delineates UAs to provide a better separation of urban and rural territory, population, and housing in the vicinity of large places. At least 35,000 people in a UA must live in an area that is not part of a military reservation.

  18. Title: Census Block Groups (TIGER/Line), WI 2024

    • Polygon data
    • 2024
    Contributors:

    Summary: This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of select geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts; however, each TIGER/Line shapefile is designed to stand alone as an independent dataset or can be combined to cover the entire nation. Block groups are clusters of blocks within the same census tract. Each census tract contains at least one block group, and are uniquely numbered within census tracts. Block groups have a valid code range of 0 through 9. They also have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within block group 3 within that census tract. Block groups coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A block group usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The block group boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

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