10 datasets found
  1. p

    Group Homes in Ohio, United States - 238 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 25, 2025
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    Poidata.io (2025). Group Homes in Ohio, United States - 238 Verified Listings Database [Dataset]. https://www.poidata.io/report/group-home/united-states/ohio
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States, Ohio
    Description

    Comprehensive dataset of 238 Group homes in Ohio, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  2. o

    Ohio Street Cross Street Data in Tucson, AZ

    • ownerly.com
    Updated Dec 10, 2021
    + more versions
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    Ownerly (2021). Ohio Street Cross Street Data in Tucson, AZ [Dataset]. https://www.ownerly.com/az/tucson/ohio-st-home-details
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    Dataset updated
    Dec 10, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Tucson, Arizona
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ohio Street cross streets in Tucson, AZ.

  3. o

    Northview Drive Cross Street Data in Johnstown, OH

    • ownerly.com
    Updated Dec 8, 2021
    + more versions
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    Ownerly (2021). Northview Drive Cross Street Data in Johnstown, OH [Dataset]. https://www.ownerly.com/oh/johnstown/northview-dr-home-details
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Johnstown, Ohio, Northview Drive
    Description

    This dataset provides information about the number of properties, residents, and average property values for Northview Drive cross streets in Johnstown, OH.

  4. o

    Ohio Street Cross Street Data in Lenox, IA

    • ownerly.com
    Updated Dec 9, 2021
    + more versions
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    Ownerly (2021). Ohio Street Cross Street Data in Lenox, IA [Dataset]. https://www.ownerly.com/ia/lenox/ohio-st-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Lenox, Iowa
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ohio Street cross streets in Lenox, IA.

  5. o

    Ohio Street Cross Street Data in Marquette, MI

    • ownerly.com
    Updated Jan 13, 2022
    + more versions
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    Ownerly (2022). Ohio Street Cross Street Data in Marquette, MI [Dataset]. https://www.ownerly.com/mi/marquette/ohio-st-home-details
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    Dataset updated
    Jan 13, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Marquette, MI, Marquette, Michigan
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ohio Street cross streets in Marquette, MI.

  6. T

    PDI (Police Data Initiative) Police Calls for Service (CAD)

    • data.cincinnati-oh.gov
    • splitgraph.com
    application/rdfxml +5
    Updated Jul 15, 2025
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    City of Cincinnati (2025). PDI (Police Data Initiative) Police Calls for Service (CAD) [Dataset]. https://data.cincinnati-oh.gov/Safety/PDI-Police-Data-Initiative-Police-Calls-for-Servic/gexm-h6bt
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    tsv, application/rdfxml, application/rssxml, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    City of Cincinnati
    License

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

    Description

    Data Description: This dataset captures all Cincinnati Police Department Calls for Service. The City of Cincinnati's Computer Aided Dispatch (CAD) system records police incident response activity, which includes all calls for service to emergency operators, 911, alarms, police radio and non-emergency calls. CAD records all dispatch information, which is used by dispatchers, field supervisors, and on-scene officers to determine the priority, severity, and response needs surrounding the incident. Once an officer responds to a call, he/she updates the disposition to reflect findings on-scene. This dataset includes both proactive and reactive police incident data.

    Data Creation: This data is created through the City’s computer-aided dispatch (CAD) system.

    Data Created By: The source of this data is the Cincinnati Police Department.

    Refresh Frequency: This data is updated daily.

    CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/xw7t-5phj

    Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

    Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

    Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

    Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

  7. c

    Building Complaint Violation Notices

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Jan 23, 2024
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    Cleveland | GIS (2024). Building Complaint Violation Notices [Dataset]. https://data.clevelandohio.gov/datasets/building-complaint-violation-notices
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    Dataset updated
    Jan 23, 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

    If violations exist, a violation notice is issued giving the property owner time to make corrections.If violations are not corrected, legal proceedings can be initiated against the property owner in consultation with the Department of Law. For minor misdemeanor violations, inspectors have the ability to issue tickets. This dataset contains all CMPs (complaints) with associated VN (violation notice) from 2015 to present.This extract is useful for understanding structure condition issues that are being escalated. Update FrequencyWeekly on Sundays at 7 AM EST (6 AM during daylight savings) ContactsDepartment of Building and Housing 216-664-2282 Data Glossary RECORD_ID: The ID number for the complaintFile Date: Date record created Parcel: Permanent parcel number where complaint is located Source: The origin of the CMP; who contacted Building and Housing about the issue Address: Property address Violation Number: Record ID for Violation Notice Violation App Status: Current status of the VN record; more detail can be found in Violation Status History report The below fields are not from the system of record for permits, Accela. They are extra fields produced by the City's Data Warehouse to make it more useful for staff and the public.DW_Parcel: Current Cuyahoga County parcel that matches this addressDW_Ward: Ward location of that parcelDW_Tract2020: Census tract ID of that parcelDW_Neighborhood: City neighborhood of that parcelCOMPLAINT_CITIZEN_ACCESS_URL: Link to view the complaint record on Accela Citizen AccessVIOLATION_CITIZEN_ACCESS_URL: Link to view the violation record on Accela Citizen Access

  8. 2022 Cartographic Boundary File (KML), Current State Legislative...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (KML), Current State Legislative District-Lower Chamber for Ohio, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-current-state-legislative-district-lower-chamber-for-ohio-1
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    Ohio
    Description

    The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

  9. 2023 Cartographic Boundary File (KML), 118th Congressional Districts for...

    • catalog.data.gov
    Updated May 16, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (KML), 118th Congressional Districts for Ohio, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-kml-118th-congressional-districts-for-ohio-1-500000
    Explore at:
    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Description

    The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 118th Congress is seated from January 2023 through December 2024. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The generalzied boundaries of all other congressional districts are based on information provided to the Census Bureau by the states by August 31, 2022.

  10. 2020 Cartographic Boundary File (KML), Current State Legislative...

    • catalog.data.gov
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current State Legislative District-Lower Chamber for Ohio, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-state-legislative-district-lower-chamber-for-ohio-1
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Description

    The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generalized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2018 election year and provided by state-level participants through the RDP.

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Poidata.io (2025). Group Homes in Ohio, United States - 238 Verified Listings Database [Dataset]. https://www.poidata.io/report/group-home/united-states/ohio

Group Homes in Ohio, United States - 238 Verified Listings Database

Explore at:
csv, excel, jsonAvailable download formats
Dataset updated
Jun 25, 2025
Dataset provided by
Poidata.io
Area covered
United States, Ohio
Description

Comprehensive dataset of 238 Group homes in Ohio, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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