22 datasets found
  1. d

    500 Cities: City Boundaries

    • catalog.data.gov
    • healthdata.gov
    • +5more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). 500 Cities: City Boundaries [Dataset]. https://catalog.data.gov/dataset/500-cities-city-boundaries
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.

  2. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Fredericton

    • data.amerigeoss.org
    • ouvert.canada.ca
    • +2more
    cdr, gif, html, pdf
    Updated Jul 22, 2019
    + more versions
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Fredericton [Dataset]. https://data.amerigeoss.org/nl/dataset/cadb165b-4682-5eeb-95ea-c6a417a71481
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    gif, cdr, pdf, htmlAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Fredericton, Canada
    Description

    The map title is Fredericton. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Fredericton downtown detail is coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. The Saint John River is located near the centre of the map and runs east-west shown with a wavy symbol to indicate water. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  3. s

    City of San Diego (Raster Image)

    • searchworks.stanford.edu
    zip
    Updated Nov 14, 2006
    + more versions
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    (2006). City of San Diego (Raster Image) [Dataset]. https://searchworks.stanford.edu/view/mv021rn3526
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    zipAvailable download formats
    Dataset updated
    Nov 14, 2006
    Area covered
    San Diego
    Description

    The historic map layers in the Google Earth Rumsey Map Collection have been selected by David Rumsey from his large collection of historical maps, as well as some from other collections with which he collaborates. All the maps contain rich information about the past and represent a sampling of time periods, scales, and cartographic art, resulting in visual history stories that only old maps can tell. Each map has been georeferenced by Rumsey, thus creating unique digital map images that allow the old maps to appear in their correct places on the modern globe. Some of the maps fit perfectly in their modern spaces, while othersgenerally earlier period mapsreveal interesting geographical misconceptions of their time. Cultural features on the maps can be compared to the modern satellite views using the slider bars to adjust transparency. The result is an exploration of time as well as space, a marriage of historic cartographic masterpieces with innovative contemporary software tools.

  4. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Halifax

    • data.amerigeoss.org
    • open.canada.ca
    cdr, gif, html, pdf
    Updated Jul 22, 2019
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Halifax [Dataset]. https://data.amerigeoss.org/mk/dataset/fa4445af-1eb1-5776-ad60-99843766f03a
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    cdr, pdf, html, gifAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Halifax, Canada
    Description

    The map title is Halifax. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Halifax downtown detail is coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Halifax Harbour is located on the east side of the map shown with a wavy symbol to indicate water. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  5. U

    Heat Severity - USA 2020

    • data.unep.org
    Updated Dec 9, 2022
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    UN World Environment Situation Room (2022). Heat Severity - USA 2020 [Dataset]. https://data.unep.org/app/dataset/wesr-arcgis-wm-heat-severity---usa-2020
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    Dataset updated
    Dec 9, 2022
    Dataset provided by
    UN World Environment Situation Room
    Area covered
    United States
    Description

    This layer contains the relative heat severity for every pixel for every city in the United States. This 30-meter raster was derived from Landsat 8 imagery band 10 (ground-level thermal sensor) from the summers of 2019 and 2020.Federal statistics over a 30-year period show extreme heat is the leading cause of weather-related deaths in the United States. Extreme heat exacerbated by urban heat islands can lead to increased respiratory difficulties, heat exhaustion, and heat stroke. These heat impacts significantly affect the most vulnerable—children, the elderly, and those with preexisting conditions.The purpose of this layer is to show where certain areas of cities are hotter than the average temperature for that same city as a whole. Severity is measured on a scale of 1 to 5, with 1 being a relatively mild heat area (slightly above the mean for the city), and 5 being a severe heat area (significantly above the mean for the city). The absolute heat above mean values are classified into these 5 classes using the Jenks Natural Breaks classification method, which seeks to reduce the variance within classes and maximize the variance between classes. Knowing where areas of high heat are located can help a city government plan for mitigation strategies.This dataset represents a snapshot in time. It will be updated yearly, but is static between updates. It does not take into account changes in heat during a single day, for example, from building shadows moving. The thermal readings detected by the Landsat 8 sensor are surface-level, whether that surface is the ground or the top of a building. Although there is strong correlation between surface temperature and air temperature, they are not the same. We believe that this is useful at the national level, and for cities that don’t have the ability to conduct their own hyper local temperature survey. Where local data is available, it may be more accurate than this dataset. Dataset SummaryThis dataset was developed using proprietary Python code developed at The Trust for Public Land, running on the Descartes Labs platform through the Descartes Labs API for Python. The Descartes Labs platform allows for extremely fast retrieval and processing of imagery, which makes it possible to produce heat island data for all cities in the United States in a relatively short amount of time.What can you do with this layer?This layer has query, identify, and export image services available. Since it is served as an image service, it is not necessary to download the data; the service itself is data that can be used directly in any Esri geoprocessing tool that accepts raster data as input.In order to click on the image service and see the raw pixel values in a map viewer, you must be signed in to ArcGIS Online, then Enable Pop-Ups and Configure Pop-Ups.Using the Urban Heat Island (UHI) Image ServicesThe data is made available as an image service. There is a processing template applied that supplies the yellow-to-red or blue-to-red color ramp, but once this processing template is removed (you can do this in ArcGIS Pro or ArcGIS Desktop, or in QGIS), the actual data values come through the service and can be used directly in a geoprocessing tool (for example, to extract an area of interest). Following are instructions for doing this in Pro.In ArcGIS Pro, in a Map view, in the Catalog window, click on Portal. In the Portal window, click on the far-right icon representing Living Atlas. Search on the acronyms “tpl” and “uhi”. The results returned will be the UHI image services. Right click on a result and select “Add to current map” from the context menu. When the image service is added to the map, right-click on it in the map view, and select Properties. In the Properties window, select Processing Templates. On the drop-down menu at the top of the window, the default Processing Template is either a yellow-to-red ramp or a blue-to-red ramp. Click the drop-down, and select “None”, then “OK”. Now you will have the actual pixel values displayed in the map, and available to any geoprocessing tool that takes a raster as input. Below is a screenshot of ArcGIS Pro with a UHI image service loaded, color ramp removed, and symbology changed back to a yellow-to-red ramp (a classified renderer can also be used): Other Sources of Heat Island InformationPlease see these websites for valuable information on heat islands and to learn about exciting new heat island research being led by scientists across the country:EPA’s Heat Island Resource CenterDr. Ladd Keith, University of ArizonaDr. Ben McMahan, University of Arizona Dr. Jeremy Hoffman, Science Museum of Virginia Dr. Hunter Jones, NOAA Daphne Lundi, Senior Policy Advisor, NYC Mayor's Office of Recovery and ResiliencyDisclaimer/FeedbackWith nearly 14,000 cities represented, checking each city's heat island raster for quality assurance would be prohibitively time-consuming, so The Trust for Public Land checked a statistically significant sample size for data quality. The sample passed all quality checks, with about 98.5% of the output cities error-free, but there could be instances where the user finds errors in the data. These errors will most likely take the form of a line of discontinuity where there is no city boundary; this type of error is caused by large temperature differences in two adjacent Landsat scenes, so the discontinuity occurs along scene boundaries (see figure below). The Trust for Public Land would appreciate feedback on these errors so that version 2 of the national UHI dataset can be improved. Contact Pete.Aniello@tpl.org with feedback.Terms of UseYou understand and agree, and will advise any third party to whom you give any or all of the data, that The Trust for Public Land is neither responsible nor liable for any viruses or other contamination of your system arising from use of The Trust for Public Land’s data nor for any delays, inaccuracies, errors or omissions arising out of the use of the data. The Trust for Public Land’s data is distributed and transmitted "as is" without warranties of any kind, either express or implied, including without limitation, warranties of title or implied warranties of merchantability or fitness for a particular purpose. The Trust for Public Land is not responsible for any claim of loss of profit or any special, direct, indirect, incidental, consequential, and/or punitive damages that may arise from the use of the data. If you or any person to whom you make the data available are downloading or using the data for any visual output, attribution for same will be given in the following format: "This [document, map, diagram, report, etc.] was produced using data, in whole or in part, provided by The Trust for Public Land."

  6. M

    Minnesota Cities, Townships, and Counties Reference Map

    • gisdata.mn.gov
    • data.wu.ac.at
    html, jpeg +1
    Updated Nov 22, 2024
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    Geospatial Information Office (2024). Minnesota Cities, Townships, and Counties Reference Map [Dataset]. https://gisdata.mn.gov/dataset/bdry-cities-counties-twps-map
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    jpeg, printable_map, htmlAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Geospatial Information Office
    Area covered
    Minnesota
    Description

    This map of Minnesota cities, townships, and counties was published by MnGeo in January 2019. The primary data set for the map is the "Cities, Townships, and Unorganized Territories" (MnCTU) data maintained by the Minnesota Department of Transportation. Other reference data on the map include County Seats and Other Cities, County Boundaries, Interstate, US Trunk, and State Trunk Highways, Major Rivers, Lakes, County and State Boundaries. The download is a PDF file with embedded layers that can be printed at E-scale (36" x 48").

  7. K

    New York State City and Town Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
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    State of New York, New York State City and Town Boundaries [Dataset]. https://koordinates.com/layer/96215-new-york-state-city-and-town-boundaries/
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    shapefile, kml, mapinfo tab, mapinfo mif, geopackage / sqlite, pdf, csv, geodatabase, dwgAvailable download formats
    Dataset authored and provided by
    State of New York
    Area covered
    Description

    Publication Date: APR 2018. A vector polygon GIS file of all city and town boundaries in New York State. The file was originally a compilation of U.S. Geological Survey 1:100,000-scale digital vector files and NYS Department of Transportation 1:24,000-scale and 1:75,000-scale digital vector files. Boundaries were revised to 1:24,000-scale positional accuracy and selectively updated based on municipal boundary reviews, court decisions and NYS Department of State Local Law filings for annexations, dissolutions, and incorporations. Currently, boundary changes are made based on NYS Department of State Local Law filings (http://locallaws.dos.ny.gov/). Additional updates and corrections are made as needed in partnership with municipalities. Additional metadata, including field descriptions, can be found at the NYS GIS Clearinghouse: http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=927.

    © NYS Office of Information Technology Services GIS Program Office (GPO)

  8. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Toronto

    • data.amerigeoss.org
    • open.canada.ca
    • +1more
    cdr, gif, html, pdf
    Updated Jul 22, 2019
    + more versions
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Toronto [Dataset]. https://data.amerigeoss.org/ru/dataset/eb5f3080-a808-58d5-9243-fd43888d8348
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    cdr, pdf, html, gifAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Toronto, Canada
    Description

    The map title is Toronto. Tactile map scale. 2.0 centimetres = 250 metres North arrow pointing to the north. The downtown area is located north of Lake Ontario symbolized with a wavy symbol to indicate water. Toronto downtown detail is coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  9. a

    NDGISHUB County Roads

    • gishubdata-ndgov.hub.arcgis.com
    Updated May 9, 2011
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    State of North Dakota (2011). NDGISHUB County Roads [Dataset]. https://gishubdata-ndgov.hub.arcgis.com/datasets/NDGOV::ndgishub-county-roads/about
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    Dataset updated
    May 9, 2011
    Dataset authored and provided by
    State of North Dakota
    Area covered
    Description

    11/22/2024- County-wide road updates were completed in Golden Valley and Billings Counties. Intersecting routes throughout the state were cartographically realigned in preparation of MIRE intersections 6/27/2024 - The data was prepared for HPMS submittal which included updated 2023 AADT values and to keep certain segments consistent with HPMS segments, mainly sample sections and the NHS, values of "BOTH", "NHS" and "SAMPLE" were added to the field HPMS_ROUTE_ID to distinguish these segments from other segments. 3/19/2024 - Miscellaneous updates were done in Dunn County. County wide updates to Grand Forks and Golden Valley counties along with route realignments at intersections throughout the state.12/04/2023 - County wide updates to Walsh, Dunn and Grand Forks Counties and various updates to county/local roads throughout the state including street names in Westhope8/23/2023 - Function Class changes were updated in McLean and Mountrail Counties. Function Class updates also occurred in the cities of Fargo, Valley City, West Fargo and Williston. County-wide updates completed for: Towner, Cavalier, Pembina, Pierce, Benson, Ramsey. 2022 AADTs updated. A road was also removed in Bottineau County at the request off a landowner.5/19/22 - Dunn County contacted the NDDOT with data updates ,Rolette County was updated, and the 2021 AADT's were updated. 2/14/22 - Contacted by the Dunn County Road Dept., updates were made on newly paved road segments. 1/20/2022 - Since the August 2021 update, Morton, Stark, Hettinger, Bowman, Adams, Slope, Grant and Sioux Counties have been updated using 2020 imagery. Surface type has been checked and updated on all functionally classified roads statewide. Function Class changes have been made in the Bismarck/Mandan Metro, Grand Forks County and Burleigh County.6/15/21 - Since the 2019 update, trails and seldom used trails were updated statewide using 2018,and 2019 imagery. Steele, Traill and Griggs Counties have also been updated using 2020 imagery. Surface type has been checked and updated on all functionally classified roads statewide New roads added includes roads in the Fargo, West Fargo, Grand Forks, Jamestown, Bismarck, Mandan, Minot, Dickinson, Watford City and Williston. Ownership on Federal jurisdiction roads were also updated based on an dataset received for FHWA in conjunction with the HPMS submittal. HPMS (Highway Performance Monitoring System) fields were also added in an effort to integrate the roads county data into HPMS and MIRE (Model Inventory Roadway Elements). 9/14/20 - Added the following fields - AADT, AADT_YR, HPMS_MAINTENANCE_OPERATIONS, HPMS_THROUGH_LANES, FUNCTIONAL_CLASS (replaces FUNCTION_CLASS)8/13/19 - The following counties were updated by using a variety of aerial photography: Eddy, Foster and Barnes. Seldom used trails have been added to Barnes, Benson, Billings, Bottineau, and Bowman Counties. Mercer County had (2) 61STAvenues, this has been corrected.12/26/18 - The following counties have had their roads updated by a variety of aerial photography, McHenry, Wells, Kidder, Cass (with aid of Cass county website) and McKenzie (with aid of McKenzie County GIS Coordinator)8/14/18 - Counties updated using 2017 NAIP Imagery are Ward, Mountrail, Burke and Renville counties. Seldom used trails are also being digitized into the dataset. They are being added as counties are being checked, so it will take some time for all seldom used trails to be added statewide. Also since the last update, all local roads that are in the corporate boundaries have been broken at the boundaries so it is easier to query to determine which roads go with each community.5/21/18 - removed CITY_INT_ID column - no longer used because of CITY_FIPS and HPMS_URBAN_CODE attributes. Removed SERVICE_LEVEL field, never used/maintained.4/19/18 - added HPMS_OWNERSHIP and HPMS_FACILITY fields for HPMS submittal1/24/18 - added CITY_FIPS and HPMS_URBAN_CODE attributes/domains. These columns will replace CITY_INT_ID and SOURCE_ID columns (eventually).11/15/17 - Williams, Divide and Bottineau counties have been updated. Great effort has been taken to update attributes and QC null fields. Functional Classified roads in Bismarck and Mandan have been updated as have local roads in Bismarck, Mandan, Williston, Fargo – West Fargo and Minot. 1/25/17 - started to maintain roads in Esri's Road and Highways. The shapes now contain measures in miles along with the associated linear referencing/roads and highways fields. Removed INSET_ASSOC field and added COUNTY_FIPS field.Updates include the counties of Emmons, Logan, McIntosh, Lamoure, Dickey, Ransom, Sargent and Richland. These counties were updated using a combination of the available NAIP aerials, the DES aerials, and by car within the insets. In addition to these updates, the whole county dataset was edited using Data Reviewer checks. The checks ran included unnecessary nodes, non-linear segments, invalid geometry, Duplicate vertices with a tolerance of .5 meters, polyline closes of self, checked for cutbacks using a 15 degree minimum angle, checked for polyline length check using a distance less than 10 meters, checked for multipart lines, inspected dangles with a tolerance of 10 meters, and checked for orphans. All checks were inspected and fixed where appropriate.7/16/14 - updates include: Traill, Barnes, Stutsman, Kidder, Bowman, Slope, Stark, Hettinger, Adams, Grant, Sioux and Morton. These datasets were updated using a combination of the available NAIP aerials, the DES aerials, and by car within the insets.10/22/12 - city streets were updated in Bismarck, Dickinson, Minot and Williston. GIS data from the city of Bismarck was used to update Bismarck, GIS data and 2012 aerial photography was used to update the city of Williston, Minot’s city map and the 2010 aerial photography from Ward County was used to update Minot, and 2011 aerial photography and Dickinson’s "working" city map was used to update Dickinson. The counties updated were Williams, Burke, Bottineau, Mountrail, Ward, Wells, Eddy, Foster, Griggs, Steele, and Cass. At the time of this updated, approximately 50% of Stutsman and 50% of Traill Counties are updated. Williams, Bottineau, Ward, and Mountrail roads were inspected from the air and the 2009 NAIP photos were also used to assist the updates. The roads in Williams County were also recoded to match Williams County naming conventions. Williams County CADD map which is on the Williams county web site was used in updating the road names. In Ward County, the 2010 image from Ward County was used to assist in updating Ward County. The 2010 NAIP photos were used to update Wells, Eddy, Foster, Griggs and Steele Counties. Cass was updated with the assistance of the Cass County GIS layer and the 2011 Cass county imagery. 10/3/2011 - County roads were edited in the cities of Fargo, West Fargo, Horace, Minot, Bismarck, Devils Lake, Grafton, Williston, Valley City, and Dickinson. Also, a part of Ward and Mchenry Counties was edited and the county of Renville has been updated. The business routes through Bismarck and Jamestown were also edited. 5/9/2011 - Updated streets in Bismarck, Mandan, Jamestown, Dickinson, West Fargo ( not quite finished yet), and Valley City. Also, corrected the north - south roads in Township 144N Ranges 49 - 53 E, (in Traill County) 10/5/10 - The original Roads_County data was maintained in two separate ArcInfo coverages and then combined each year and exported to the NDHUB infrastructure. These two coverages have now been combined into one SDE feature class and is being edited within the SDE environment. The following changes have been made to feature class. Deleted all the A1 and A2 Fields so a person would have to hunt back and forth to find a road name. Road names consist of the following fields: RTE_ID, STR_TYP, SUF_DIR, & LAN_DIR. The CMC route numbers were moved from the A1_ prefixed fields to the CMC field to better track the CMC route. Created a County Highway field so we can enter the county road number. It consists of the counties name and number. This is still a work in progress. Created FS_RD_Number and FS_RD_Name fields to better track Forest Service roads. Created Bia-RD_Number and BIA_RD_Name fields to better track Bureau of Indian Affairs roads. The following field changes are used for NDDOT specific processes: Created a service level field which is something that may be used in the future. Currently it contains how Walsh County prioritizes their roads. Created a Through and Connecting Route field so we can so select routes through the towns and cities. This was created exclusively for the county base maps. Created an Inset Associated field. This was created so the information in the rd_misc would come into the county routes. In the future, it is planned to be deleted. 6/18/09 - Updated county routes from aerial observation and photo interpretation using 2003, 2005, 2006 NAIP photos and 2008 photography from Designs camera. Counties updated were Golden Valley, Billings, McKenzie, Dunn, Mercer, Oliver, McLean, Sheridan and Burleigh. City streets were rectified in these counties using the 2003 NAIP photos. Observations were performed by Steven Nelson. 4/17/08 - Updated road surface types in NE. Rolette, Pierce, Benson, Towner, Ramsey, Cavalier, Pembina, Walsh, Grand Forks and Nelson from the 2006 aerial observations by Dewaine Olson 2/13/07 - Updated via 2004 NAIP photos: Barnes, Cass, Eddy, Foster, Griggs, Kidder, Steele, Stutsman, Traill, Wells. Combined Misc Roads and County Roads. Blank fields mean unknown attribute. Use P_STREET_NAME for dynamic labeling. We are also in the process of removing all proposed roads. 12/28/05 - Counties updated: Emmons, Logan, Mcintosh, Lamoure, Dickey, Ransom, Sargent, Richland, Divide, Williams, Burke, Mountrail, Ward, Renville, Bottineau, and Mchenry This data came from the NDDOT's Mapping Section. The original data was digitized from hand scribed maps and registered

  10. a

    US Congressional 2012

    • data-phl.opendata.arcgis.com
    Updated May 13, 2015
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    City of Philadelphia (2015). US Congressional 2012 [Dataset]. https://data-phl.opendata.arcgis.com/maps/phl::us-congressional-2012
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    Dataset updated
    May 13, 2015
    Dataset authored and provided by
    City of Philadelphia
    Area covered
    Description

    SummaryTo show the boundary of United States Congressional Districts for the City of Philadelphia. - Features updated: 10/23/2013- Attributes updated: 10/23/2013- Metadata updated 03/30/2015 - Update Frequency Boundaries reflect US 2012 Congressional Districts. When boundaries change, new layers will be created to reflect the new boundaries.- Public = YAbstractThis layer shows 2012 United States Congressional Districts established by redistricting from 2010 census after the Supreme Court unanimously approved the Legislative Reapportionment Commission's 2012 Revised Final Plan on May 08, 2013. The state of Pennsylvania is divided into 18 Congressional Districts. Currently, the city has or is part of 3 United States Congressional Districts. NOTE for GIS Users:- The boundaries of the this layer do NOT follow the City's Composite layer. This is done strictly due to Pennsylvania Redistricting which is governed by law. Data DevelopmentKey Attribute FieldsDistrict_N: Congressional District NumberCoordinate SystemSource Data: Lambert Conformal Conic, NAD 1983 StatePlane Pennsylvania South FIPS 3702 (US Feet)ArcGIS Online Export Data: GCS_WGS_1984, Decimal DegreeThematic MappingUse District_N for thematic mapping and labeling.Other InformationN/ACreditsPhiladelphia City Planning Commission1515 Arch Street, 13 FlPhiladelphia, PA 19102GIS Manager: Darshna Patel (215) 683-4611 and darshna.patel@phila.gov

  11. Population density in the U.S. 2023, by state

    • statista.com
    Updated Dec 3, 2024
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    Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

  12. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Vancouver

    • data.amerigeoss.org
    • data.urbandatacentre.ca
    • +4more
    cdr, gif, html, pdf
    Updated Jul 22, 2019
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Vancouver [Dataset]. https://data.amerigeoss.org/dataset/8fc31163-3f64-5664-bd5b-204103e9bdfe
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    pdf, html, gif, cdrAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Vancouver, Canada
    Description

    The map title is Vancouver. Tactile map scale. 2.2 centimetres = 250 metres North arrow pointing to the north. The downtown area is bordered by Burrard Inlet/Vancouver Harbour to the northeast and False Creek to the southeast Vancouver downtown detail is coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  13. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Whitehorse

    • data.amerigeoss.org
    • open.canada.ca
    • +1more
    cdr, gif, html, pdf
    Updated Jul 22, 2019
    + more versions
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Whitehorse [Dataset]. https://data.amerigeoss.org/el/dataset/ea1caeff-9f79-5d45-af8c-0d74dd92b782
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    gif, cdr, html, pdfAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Whitehorse, Canada
    Description

    The map title is Whitehorse. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Whitehorse downtown detail is coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. The Yukon River runs along the east side of the map shown with a wavy symbol to indicate water. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  14. CA Geographic Boundaries

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    shp
    Updated May 3, 2024
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    California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
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    shp(136046), shp(2597712), shp(10153125)Available download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Description

    This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

  15. A

    City of Boston Managed Streets

    • data.boston.gov
    • cloudcity.ogopendata.com
    • +3more
    Updated Nov 14, 2024
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    Boston Maps (2024). City of Boston Managed Streets [Dataset]. https://data.boston.gov/dataset/city-of-boston-managed-streets
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    html, zip, csv, kml, arcgis geoservices rest api, geojson, shpAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Boston
    Description

    This layer represents all the public and many of the private roadways in Massachusetts, including designations for Interstate, U.S. and State routes.

    Formerly known as the Massachusetts Highway Department (MHD) Roads, then the Executive Office of Transportation - Office of Transportation Planning (EOT-OTP) Roads, the MassDOT roads layer includes linework from the 1:5,000 road and rail centerlines data that were interpreted as part of the 1990s Black and White Digital Orthophoto project. The Massachusetts Department of Transportation - Office of Transportation Planning, which maintains this layer, continues to add linework from municipal and other sources and update existing linework using the most recent color ortho imagery as a base. The attribute table includes many "road inventory" items maintained in MassDOT's linear referencing system.

    The data layer published in November 2018 is based on the MassDOT 2017 year-end Road Inventory layer and results of a 2014-2015 MassDOT-Central Transportation Planning Staff project to conflate street names and other attributes from MassGIS' "base streets" to the MassDOT Road Inventory linework. The base streets are continually maintained by MassGIS as part of the NextGen 911 and Master Address Database projects. MassGIS staff reviewed the conflated layer and added many base street arcs digitized after the completion of the conflation work. MassGIS added several fields to support legacy symbology and labeling. Other edits included modifying some linework in areas of recent construction and roadway reconfiguration to align to 2017-2018 Google ortho imagery, and making minor fixes to attributes and linework.

    In ArcSDE this layer is named EOTROADS_ARC.

    From this data layer MassGIS extracted the Major Roads and Major Highway Routes layers.

  16. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Windsor

    • data.amerigeoss.org
    • ouvert.canada.ca
    • +2more
    cdr, gif, html, pdf
    Updated Jul 22, 2019
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Windsor [Dataset]. https://data.amerigeoss.org/sk/dataset/e7b93729-de35-51ae-9d5e-9f994cc41f76
    Explore at:
    pdf, cdr, gif, htmlAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Windsor, Canada
    Description

    The map title is Windsor. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Windsor downtown details are coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. The Detroit River is located at the upper left and shown with a wavy symbol to indicate water. The Detroit Windsor Tunnel is shown as a dashed line. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  17. C

    Abandoned Vehicles Map

    • data.cityofchicago.org
    • data.wu.ac.at
    application/rdfxml +5
    Updated Feb 11, 2025
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    City of Chicago (2025). Abandoned Vehicles Map [Dataset]. https://data.cityofchicago.org/w/hxh5-e8eh/3q3f-6823?cur=FKmcy8xcw5t&from=_gMhqvjIUfi
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    csv, application/rdfxml, application/rssxml, xml, json, tsvAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    City of Chicago
    Description

    All open abandoned vehicle complaints made to 311 and all requests completed since January 1, 2011. A vehicle can be classified as abandoned if it meets one or more of the following criteria:All open abandoned vehicle complaints made to 311 and all requests completed since January 1, 2011.

    A vehicle can be classified as abandoned if it meets one or more of the following criteria: 1) On a public way in a state of disrepair as to be incapable of being driven in its present condition. 2) Has not been moved or used for more than seven consecutive days and is apparently deserted. 3) Has been left on the public way without state registration or a temporary state registration placard for two or more days. 4) Is a hazardous dilapidated vehicle left in full view of the general public, whether on public or private property.

    For some Open service requests, the vehicle has been towed but further action is required before the request may be closed. 311 sometimes receives duplicate abandoned vehicle complaints.

    If a vehicle is towed it remains as open, work in progress until it is redeemed, transferred or disposed of. The service request is not closed until there is a final disposition for the vehicle.

    Requests that have been labeled as Duplicates are in the same geographic area and have been entered into 311 Customer Service Requests (CSR) system at around the same time as a previous request. Duplicate reports/requests are labeled as such in the Status field, as either "Open - Dup" or "Completed - Dup." Data is updated daily.

  18. A

    Tactile Maps of Canada-Maps For Mobility-City Downtown...

    • data.amerigeoss.org
    • ouvert.canada.ca
    • +2more
    cdr, gif, html, pdf
    Updated Jul 22, 2019
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    Canada (2019). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Vancouver-Granville [Dataset]. https://data.amerigeoss.org/es/dataset/3b4edb2c-792f-5092-89f0-baa9c6415059
    Explore at:
    cdr, pdf, html, gifAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Vancouver Granville, Canada
    Description

    The map title is Vancouver-Granville. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. The points of interest in the downtown area of Vancouver around Granville Mall are labelled with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  19. County

    • legacy-cities-lincolninstitute.hub.arcgis.com
    • disasters.amerigeoss.org
    • +5more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). County [Dataset]. https://legacy-cities-lincolninstitute.hub.arcgis.com/datasets/esri::county-76
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: May 2025 (preliminary values at the state and county level) The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: July 2nd, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and County NationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS"s county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova. As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties. To better understand the different labor force statistics included in this map, see the diagram below from BLS:

  20. a

    Wastewater Dataset - Hamilton City Council

    • data-waikatolass.opendata.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Oct 21, 2019
    + more versions
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    Hamilton City Council (2019). Wastewater Dataset - Hamilton City Council [Dataset]. https://data-waikatolass.opendata.arcgis.com/maps/ea97c3f9f55b4e128fcb9d77eca63095
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    Dataset updated
    Oct 21, 2019
    Dataset authored and provided by
    Hamilton City Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer is part of Hamilton City Council's Wastewater Dataset.If you wish to download and consume this entire dataset - click on the link for the file format(s) of your choosing: CAD (DWG)

    Please note that the links above may change at any time. For best practice, please refer to this page for the correct links.

    If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz.

    This Wastewater dataset contains the following layers:

    Wastewater Abandoned Main (A wastewater main that is still in the ground, but is now disused and no longer forms part of the active network) Wastewater Abandoned Manhole (A wastewater manhole that is still in the ground but is now disused and no longer forms part of the active network) Wastewater Asbuilts (Plans showing the location and alignment of basic wastewater infrastructure as it was actually constructed on site, as provided by the contractor or their representatives Data has not yet been fully incorporated into the Council GIS or asset management system) Wastewater Main (A pipe that receives wastewater from domestic and industrial sources and directs it toward the wastewater treatment plant) Wastewater Manhole (An underground structure built over an opening in a pipe for the purpose of allowing operators or equipment access to the inside of the pipe) Wastewater Node (A junction point in a pipe It can be a structure) Wastewater Pump Station (A facility that raises wastewater from areas too low to drain by gravity, into existing pipes) Wastewater Service Line (A gravity or pressure flow pipeline connecting a building’s wastewater system to a wastewater main) Wastewater Storage Unit (A device used to contain or store effluent) Wastewater Valve (A wastewater valve is used to shut off or regulate the flow of wastewater)

    Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download.

    This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz

    Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

    Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

    While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

    ‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

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Centers for Disease Control and Prevention (2025). 500 Cities: City Boundaries [Dataset]. https://catalog.data.gov/dataset/500-cities-city-boundaries

500 Cities: City Boundaries

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 3, 2025
Dataset provided by
Centers for Disease Control and Prevention
Description

This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.

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