13 datasets found
  1. o

    20 Richest Counties in Ohio

    • ohio-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). 20 Richest Counties in Ohio [Dataset]. https://www.ohio-demographics.com/counties_by_population
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.ohio-demographics.com/terms_and_conditionshttps://www.ohio-demographics.com/terms_and_conditions

    Area covered
    Ohio
    Description

    A dataset listing Ohio counties by population for 2024.

  2. K

    City of Alliance, Ohio Water Main Line

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Apr 30, 2019
    + more versions
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    Stark County, Ohio (2019). City of Alliance, Ohio Water Main Line [Dataset]. https://koordinates.com/layer/100262-city-of-alliance-ohio-water-main-line/
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    geodatabase, shapefile, csv, dwg, mapinfo tab, mapinfo mif, geopackage / sqlite, pdf, kmlAvailable download formats
    Dataset updated
    Apr 30, 2019
    Dataset authored and provided by
    Stark County, Ohio
    Area covered
    Description

    Geospatial data about City of Alliance, Ohio Water Main Line. Export to CAD, GIS, PDF, CSV and access via API.

  3. a

    Council Ward Map (PDF) for Marysville, Ohio

    • hub.arcgis.com
    Updated Aug 23, 2021
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    City of Marysville, Ohio (2021). Council Ward Map (PDF) for Marysville, Ohio [Dataset]. https://hub.arcgis.com/documents/662e7a2cc7224ccf8e9bb00945b57103
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    Dataset updated
    Aug 23, 2021
    Dataset authored and provided by
    City of Marysville, Ohio
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Description

    The City of Marysville is a chartered city with a council-manager form of government. Marysville’s City Council is comprised of seven members who are each elected for a term of four years. Three members are elected at large and four members are elected by ward. To find the council members in your ward, please refer to the Ward Map. The Marysville City Council is responsible for enacting local laws and ordinances, approving the budget, establishing policies / regulations, approving programs necessary to conduct city business, and protecting the public’s general health and safety.Meetings7:00 pmSecond and fourth Monday of each monthCouncil Chambers 209 S. Main St. Marysville, OH 43040Agendas & MinutesAgendas and meeting packets are available prior to the meetings. Most Recent Agenda | View All Most Recent Meeting Packet | View All

  4. d

    Geospatial datasets and hydraulic model for flood-inundation maps for the...

    • catalog.data.gov
    • data.usgs.gov
    Updated Feb 22, 2025
    + more versions
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    U.S. Geological Survey (2025). Geospatial datasets and hydraulic model for flood-inundation maps for the Cuyahoga River in and near the City of Independence, Ohio [Dataset]. https://catalog.data.gov/dataset/geospatial-datasets-and-hydraulic-model-for-flood-inundation-maps-for-the-cuyahoga-river-i
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Cuyahoga River, Cuyahoga County, Independence, Ohio
    Description

    Digital flood-inundation maps for a 9.9-mile reach of the Cuyahoga River near Independence, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees. Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated to the current (rating number 42) stage-discharge relation at the U.S. Geological Survey streamgage Cuyahoga River at Independence, Ohio (station number 04208000). The hydraulic model was then used to compute 13 total water-surface profiles for flood stages ranging from 14 to 26 ft. The overall range in stages are from “action stage” to above “major flood stage” as reported by the National Weather Service. The simulated water-surface profiles were then used in combination with a geographic information system digital elevation model derived from light detection and ranging data to delineate the areas flooded at each water level. The model produced by this study could be used to assess possible flood mitigation options and define flood hazard areas that could contribute to the protection of life and property. The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, could provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

  5. c

    Mapping Eternity: Cleveland's New Cemetery Record System

    • data.clevelandohio.gov
    Updated Apr 10, 2024
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    Cleveland | GIS (2024). Mapping Eternity: Cleveland's New Cemetery Record System [Dataset]. https://data.clevelandohio.gov/datasets/mapping-eternity-clevelands-new-cemetery-record-system
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    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    After a major system upgrade for the City's cemeteries office (Public Works), we are excited to offer the public a powerful, new City Cemetery Viewer tool, which allows web or mobile users to:Search for burial records across all cemeteries and locate them.Explore specific cemeteries, sections, and lots interactively on a map.Learn more about the 12 City-operated cemetery facilities and find resources for them.As part of our launch, the City's cemetery records are also available on the City of Cleveland's new Open Data Portal at data.clevelandohio.gov. Click below to see the dataset in catalog view.This application uses the following dataset(s):City Cemetery Records

  6. c

    Data from: Street Centerlines

    • opendata.columbus.gov
    • hub.arcgis.com
    • +2more
    Updated May 5, 2017
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    City of Columbus Maps & Apps (2017). Street Centerlines [Dataset]. https://opendata.columbus.gov/datasets/street-centerlines
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    Dataset updated
    May 5, 2017
    Dataset authored and provided by
    City of Columbus Maps & Apps
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This map layer shows street centerlines in central Ohio. Specifically, this layer covers Franklin County and a seven-mile radius beyond. This layer was created by the Mid-Ohio Regional Planning Commission (MORPC) as part of the Location Based Response System (LBRS) initiative of the Ohio Geographically Referenced Information Program (OGRIP). This layer is cooperatively maintained by various entities in the region including MORPC, Columbus, Dublin, Worthington, Westerville, Gahanna, Grove City, Hilliard, and Franklin County.

  7. a

    Subdivisions

    • data-dublinohio.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Dec 20, 2021
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    City of Dublin, Ohio (2021). Subdivisions [Dataset]. https://data-dublinohio.opendata.arcgis.com/datasets/subdivisions-1
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    Dataset updated
    Dec 20, 2021
    Dataset authored and provided by
    City of Dublin, Ohio
    Area covered
    Description

    Main Subdivisions in Dublin, Ohio USA

  8. a

    Light Gray Canvas

    • gishub-gimsoh29.opendata.arcgis.com
    Updated Jul 17, 2023
    + more versions
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    Greene County GIS (2023). Light Gray Canvas [Dataset]. https://gishub-gimsoh29.opendata.arcgis.com/maps/ba2ca47303574e50b6eb985b6bb19b5e
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    Dataset updated
    Jul 17, 2023
    Dataset authored and provided by
    Greene County GIS
    Area covered
    Description

    This vector tile layer provides a detailed vector basemap for Greene County, Ohio symbolized with a light gray, neutral background style with minimal colors, labels, and features that is designed to draw attention to your thematic content. This map is designed to be used as a basemap layer or reference layer in a web map. You can add this layer to a web map and save as your own map. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries.

  9. c

    Central Ohio Railroad Crossings

    • opendata.columbus.gov
    • hub.arcgis.com
    • +3more
    Updated Jul 5, 2017
    + more versions
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    City of Columbus Maps & Apps (2017). Central Ohio Railroad Crossings [Dataset]. https://opendata.columbus.gov/maps/central-ohio-railroad-crossings
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    Dataset updated
    Jul 5, 2017
    Dataset authored and provided by
    City of Columbus Maps & Apps
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This dataset contains point features that represent Railroad Crossings in Central Ohio. Each highway-rail or pathway crossing is assigned a unique alphanumeric seven digit identifier by the Federal Railroad Administration (FRA) and the United States Department of Transportation (USDOT) as a part of the Rail Safety Improvement Act of 2008. This unique identifier is stored in a national database that can be used to quickly retrieve information about the physical and operating characteristics of both public and private crossings. In addition, this information can be used by Emergency Personnel to quickly and accurately locate calls for service. This unique identifier is commonly referred to as a "Railroad Crossing ID" or "FRA Number". Each Railroad Crossing must have this number posted on a metal plate at each crossing. Many crossings have a sign that includes the name of the railroad and an emergency contact telephone number in addition to the Railroad Crossing ID.This information can be retrieved remotely from the Federal Railroad Administration, Office of Safety Analysis' website at: http://safetydata.fra.dot.gov/OfficeofSafety/PublicSite/Crossing/Crossing.aspx

  10. T

    Cincinnati Historic Districts

    • data.cincinnati-oh.gov
    application/rdfxml +5
    Updated Jun 11, 2018
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    Cincinnati Area Geographic Information Systems (CAGIS) (2018). Cincinnati Historic Districts [Dataset]. https://data.cincinnati-oh.gov/dataset/Cincinnati-Historic-Districts/r8xe-bw6r
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    application/rdfxml, csv, tsv, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Jun 11, 2018
    Dataset authored and provided by
    Cincinnati Area Geographic Information Systems (CAGIS)
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Cincinnati
    Description

    This layer displays Cincinnati Historic Districts and Local Landmarks. These areas help to ensure that any changes do not adversely affect the historic architectural or aesthetic integrity of the Historic District or Historic Asset. Cincinnati Historic Districts layer displays the 15 separate historic districts in the city of Cincinnati, listed in the National Register. These districts range in size from a grouping of buildings of a total area of 1.76 acres to larger areas of 46.24 acres. Further information about the historic districts are to obtained y contacting the City of Cincinnati Historic Conservation Office, the Ohio Historic Preservation Office. Als, the following website gives further information about historic sites in all states and cities in the US http://www.nationalregisterofhistoricplaces.com.

  11. a

    Hamilton County Auditor Book and Page

    • data-cagisportal.opendata.arcgis.com
    Updated Jun 25, 2024
    + more versions
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    CagisCoreLayers (2024). Hamilton County Auditor Book and Page [Dataset]. https://data-cagisportal.opendata.arcgis.com/datasets/05f3786bc0364e9f9743a759cdc110cb_1
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    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    CagisCoreLayers
    Area covered
    Description

    The Auditor Books and Pages layer shows the boundaries of the Hamilton County Auditor's Tax Maps Book and Page. These maps act as an index to show property (parcels) throughout Hamilton County, Ohio. The Book numbers correspond to the villages, cities, and townships in the county and are further subdivided into page numbers for each distinct map.Up until the advent of G.I.S. technology these individual maps were maintained by the Hamilton County Engineer in large books. Each property in Hamilton County is assigned a parcel number. The first characters of a parcel number reflect the Book and Page to which it belongs.

  12. 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.

  13. o

    Data from: US County Boundaries

    • public.opendatasoft.com
    • smartregionidf.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 27, 2017
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    (2017). US County Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-county-boundaries/
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    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2017
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    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. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Kristen Carney (2024). 20 Richest Counties in Ohio [Dataset]. https://www.ohio-demographics.com/counties_by_population

20 Richest Counties in Ohio

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 20, 2024
Dataset provided by
Cubit Planning, Inc.
Authors
Kristen Carney
License

https://www.ohio-demographics.com/terms_and_conditionshttps://www.ohio-demographics.com/terms_and_conditions

Area covered
Ohio
Description

A dataset listing Ohio counties by population for 2024.

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