The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2010 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

The creation of the contour data was executed to capture the existing ground conditions at a specific point in time for the purpose of GIS mapping and analysis. Contour information is used for plannimetric mapping and for creating TINs and RASTERs, which support 3D mapping and ground/slope visualization. TINs and RASTERs of elevation data support spatial analyses related to slopes, viewsheds, water runoff, and other map algebra-based applications.Although the contract with VGIN (VA Geographic Information Network) was initiated in 2006, due to the late signing of the contact between the State and their contractor, there was not a long-enough "leaf-off" period to complete state-wide orthophotograhy mapping; the City of Richmond was one of many localities postponed until the Winter of 2007.

Blocks are used to support mapping at smaller scales (1:10,000+), in which it is not practical to map individual parcels, but displaying the city blocks is useful for cartographic representation of land.Represents city blocks or polygon areas defined by the circumference of contiguous parcels. With respect to Office of the Assessor "keycards," blocks represent the first 8 digits of a keycard, i.e. parcels N0180478001, N0180478002, and N0180478003 would all be located on block N0180478.

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Richmond, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute...

An ArcGIS OnLine map of National Historic Districts and National Historic Sites. Districts that are listed on the National Register of Historic Places (National Historic designation) and the Virginia Landmarks Register (State designation). Districts may logically carry either both designations or the State designation alone. Both of these programs are administered by the Virginia Department of Historic Resources in conjunction with the City of Richmond Bureau of Housing and Neighborhood Preservation. Properties that fall within these districts may be entitled to various development incentives. Note that some districts overlap.

City of Richmond Neighborhoods.

This web map represents the time-line of City of Richmond annexed areas. From its origination in 1742 to 1970.

These data were automated to provide an accurate high-resolution historical shoreline of Richmond, VA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

This is the parcel lines used to build the parcel polygons.The shape length is the distance of the drawn line.The Legal Length is the distance of the known length from a deed or plat.Often these two do not agree because this GIS mapping is not legal surveys but mapping for tax assessments.

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: air temperatureUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Air Temperature and Afternoon Air Temperature. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Evening Air Temperature Observations in Floating-Point (°F)

ParcelBlockWetlandFlood PlainContour

These data were automated to provide an accurate high-resolution historical shoreline of James and Appomattox Rivers, Vicinity of S.E. Richmond to Petersburg, VA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpre...

An app to create mailing address labels by parcel.User can select a buffer of a selected parcel or by a graphic shape. Layers:ParcelsAddresses

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: heat indexUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Heat Index and Evening Heat Index. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Afternoon Heat Index Observations in Floating-Point (°F)

HOLC, in consultation with local real estate professionals and local policymakers, categorized neighborhoods in hundreds of cities in the United States into four types: Best (A), Still Desirable (B), Definitely Declining (C), and Hazardous (D). So-called “hazardous” zones were colored red on these maps. These zones were then used to approve or deny credit-lending and mortgage-backing by banks and the Federal Housing Administration. The descriptions provided by HOLC in their reports rely heavily on race and ethnicity as critical elements in assigning these grades. According to the University of Richmond's Mapping Inequality project, “Arguably the HOLC agents in the other two hundred-plus cities graded through this program adopted a consistently white, elite standpoint or perspective. HOLC assumed and insisted that the residency of African-Americans and immigrants, as well as working-class whites, compromised the values of homes and the security of mortgages” (Mapping Inequality). HOLC’s classifications were one contributory factor in underinvestment in a neighborhood, and generally, although not always, closed off many, especially people of color, from the credit necessary to purchase their own homes.The 15 Worcester neighborhood zones included on the map are ordered from Zone 1 (categorized as "Best") to Zone 15, with the highest numbered zones included in the least desirable "Hazardous" category. The exact descriptions used by HOLC to classify the neighborhoods in 1936 are included, and therefore may contain some disturbing language. Many scholars and institutions have focused their efforts on tracking the effects the 1930s redlining maps still have today. The Mapping Inequality project by the University of Richmond has collected and analyzed a comprehensive set of redlining maps for more than 200 cities in the U.S. One of their conclusions is that, for most cities, there are striking and persistent geographic similarities between redlined zones and currently vulnerable areas even after eighty years. See the Mapping Inequality website for more information (https://dsl.richmond.edu/panorama/redlining).This digitized version prepared by the Worcester Regional Research Bureau was based on a scanned copy from the National Archives, obtained thanks to Dr. Robert Nelson, the Digital Scholarship Lab, and the rest of his team at Mapping Inequality at the University of Richmond. Dr. Nelson worked with The Research Bureau directly to track it down in the Archives.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

Publication Date: February 2025. This polygon layer is updated annually.

This layer contains 2023-2024 parcel data only for NY State counties which gave NYS ITs Geospatatial Services permission to share this data with the public. Work to obtain parcel data from additional counties, as well as permission to share the data, is ongoing. To date, 36 counties have provided the Geospatial Services permission to share their parcel data with the public. Parcel data for counties which do not allow the Geospatial Services to redistribute their data must be obtained directly from those counties. Geospatial Services' goal is to eventually include parcel data for all counties in New York State.

Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2023-2024 Assessment Roll tabular data Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel.

Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page.

This layer displays when zoomed in below 1:37,051-scale.

This map service is available to the public.

Geometry accuracy varies by contributing county.

Thanks to the following counties that specifically authorized Geospatial Services to share their GIS tax parcel data with the public: Albany, Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, Livingston, Montgomery, New York City (Bronx, Kings, New York, Queens, Richmond), Oneida, Onondaga, Ontario, Orange, Oswego, Otsego, Putnam, Rensselaer, Rockland, Schuyler, Steuben, St Lawrence, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Wayne, and Westchester.

The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

Wetland areas were used to help define the Resource Protection and Resource Management Areas. Wetlands are used in the City's permitting processes, as they potentially indicate which properties require, or potentially require, U.S. Army Corps of Engineers (USACE) delineation approvals and permits.

Used to map the shared City boundaries with Henrico County to the north and Chesterfield County to the south. All thematic GIS areas are to adhere to this commonly used boundary.Edited by GIS professionals in the city's Assessor's Office.

Represents Planning Districts, which are geographic areas of the city defined by natural and/or man-made features; generally characterized by distinct elements and styles of development, often of a particular era; that define it as unique.

Represents 2020 Census Blocks. It is the geographical unit for which the bureau accounts for every person by age and race.Original source TIGER file data was adjusted largely along the James River to better fit the City's GIS basemapping, and along creeks and other places where the Census had essentially done a poor job of following observable features. This is a clean version of census geography and will map nicely as compared to match earlier decades' census layers that are also in the City's GIS and were "adjusted" from their earlier TIGER files.