100+ datasets found
  1. F

    Employed Persons in Cleveland-Elyria, OH (MSA)

    • fred.stlouisfed.org
    json
    Updated Feb 5, 2025
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    (2025). Employed Persons in Cleveland-Elyria, OH (MSA) [Dataset]. https://fred.stlouisfed.org/series/LAUMT391746000000005
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    jsonAvailable download formats
    Dataset updated
    Feb 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Elyria, Cleveland, Ohio
    Description

    Graph and download economic data for Employed Persons in Cleveland-Elyria, OH (MSA) (LAUMT391746000000005) from Jan 1990 to Dec 2024 about Cleveland, OH, household survey, employment, persons, and USA.

  2. F

    Civilian Labor Force in Cleveland-Elyria, OH (MSA)

    • fred.stlouisfed.org
    json
    Updated Feb 5, 2025
    + more versions
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    (2025). Civilian Labor Force in Cleveland-Elyria, OH (MSA) [Dataset]. https://fred.stlouisfed.org/series/CLEV439LFN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Elyria, Cleveland, Ohio
    Description

    Graph and download economic data for Civilian Labor Force in Cleveland-Elyria, OH (MSA) (CLEV439LFN) from Jan 1990 to Dec 2024 about Cleveland, OH, civilian, labor force, labor, and USA.

  3. c

    Police Calls for Service Dashboard

    • data.clevelandohio.gov
    Updated Sep 3, 2024
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    Cleveland | GIS (2024). Police Calls for Service Dashboard [Dataset]. https://data.clevelandohio.gov/datasets/police-calls-for-service-dashboard
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    Dataset updated
    Sep 3, 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

    Data from City of Cleveland Public Safety's Computer-aided Dispatch (CAD) system on calls for Cleveland Division of Police service. Dashboard includes information on 911 and non-emergency Police calls including insights on time of day and day of week, breakouts by call priority, and more.Data starts with calls from 2021. The data provided is the latest available information and is updated regularly as statistics change.Update FrequencyDaily by 8:30AM EasternRelated data item(s):Police Calls for Service DatasetPolice Calls for Service Map ViewerContactsFor more info or requests, please see the City of Cleveland, Division of Police webpage.How to Use the DashboardUse the filters on the left side of the dashboard to filter the data included in the dashboard.Use the "Click to Reset Filters" button to remove all filters.Modify the data range in the top right corner of the dashboard.Use the tabs at the bottom of the dashboard to navigate to different pages.Click a section of a chart to highlight it. Click it again to undo.

  4. c

    Demographic Profiles

    • data.clevelandohio.gov
    Updated Aug 21, 2023
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    Cleveland | GIS (2023). Demographic Profiles [Dataset]. https://data.clevelandohio.gov/maps/89c639f534684dbaab9218d2227580ba
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    Dataset updated
    Aug 21, 2023
    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

    Area covered
    Description

    TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWPolygon layer containing American Community Survey (ACS) 5-Year Estimate data for the most recent vintage. 5 year estimates are a rolling average of data from the past five years. The current vintage is for 2019-2023. Data is filtered for Cuyahoga County, OH, and additional calculations are performed to determine the city each census tract lies within. Therefore, this dataset is filterable for the city of Cleveland and its surrounding suburbs. To learn more about each of these datasets, click on one of datasets under "Layers". This dataset powers the City Census Viewer.This dataset is ported from the ArcGIS Living Atlas.Data GlossaryClick here, then click on "Fields" to view documentation. Use the "Layers" drop down to view documentation for different tables.Update FrequencyThis dataset is updated annually in December when the new ACS vintage is released.ContactsSamuel Martinez, Urban Analytics and Innovationsmartinez2@clevelandohio.gov

  5. i

    cleveland-heights Moving Statistics

    • imoving.com
    Updated Jun 29, 2025
    + more versions
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    (2025). cleveland-heights Moving Statistics [Dataset]. https://www.imoving.com/ohio-movers/cleveland-heights/
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    Dataset updated
    Jun 29, 2025
    Area covered
    Cleveland Heights
    Variables measured
    People Moving In, Average Move Size, People Moving Out, Average Local Move Cost, Moving Quotes Requested, Average Long-Distance Move Cost, Discount and Flexibility Savings
    Description

    Statistics for moving services in cleveland-heights including costs, move sizes, and other relevant data as of June 2025.

  6. N

    Comprehensive Income by Age Group Dataset: Longitudinal Analysis of...

    • neilsberg.com
    Updated Aug 7, 2024
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    Neilsberg Research (2024). Comprehensive Income by Age Group Dataset: Longitudinal Analysis of Cleveland, MN Household Incomes Across 4 Age Groups and 16 Income Brackets. Annual Editions Collection // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/2ec4e04d-aeee-11ee-aaca-3860777c1fe6/
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    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Cleveland
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Cleveland household income by age. The dataset can be utilized to understand the age-based income distribution of Cleveland income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Cleveland, MN annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
    • Age-wise distribution of Cleveland, MN household incomes: Comparative analysis across 16 income brackets

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Cleveland income distribution by age. You can refer the same here

  7. Cleveland Browns NFL Team Statistics

    • advanced-football-stats-dev.fly.dev
    html
    Updated Nov 12, 2024
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    Advanced Football Stats (2024). Cleveland Browns NFL Team Statistics [Dataset]. https://advanced-football-stats-dev.fly.dev/team/CLE
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    htmlAvailable download formats
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    Advanced Football Analytics
    Authors
    Advanced Football Stats
    Description

    Comprehensive Cleveland Browns NFL team statistics including rankings, performance metrics, schedule, betting data, and advanced analytics.

  8. e

    Model Output Statistics for CLEVELAND (72524)

    • data.europa.eu
    • meta.meteo.ru
    Updated Apr 25, 2018
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    (2018). Model Output Statistics for CLEVELAND (72524) [Dataset]. https://data.europa.eu/data/datasets/de-dwd-mosmix-72524
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    Dataset updated
    Apr 25, 2018
    Description

    DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

  9. c

    Transportation Type

    • data.clevelandohio.gov
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Transportation Type [Dataset]. https://data.clevelandohio.gov/maps/ClevelandGIS::transportation-type/about
    Explore at:
    Dataset updated
    Aug 21, 2023
    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

    Area covered
    Description
    This layer shows workers' place of residence by mode of commute. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

    This layer is symbolized by the percentage of workers who drove alone. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B08301 (Not all lines of this ACS table are available in this feature layer.)

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  10. c

    Poverty Status

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Poverty Status [Dataset]. https://data.clevelandohio.gov/datasets/poverty-status
    Explore at:
    Dataset updated
    Aug 21, 2023
    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

    Area covered
    Description
    This layer shows poverty status by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status is based on income in past 12 months of survey.

    This layer is symbolized to show the percentage of the population whose income falls below the Federal poverty line. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B17020, C17002

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  11. i

    Grant Giving Statistics for Hands Up Cleveland

    • instrumentl.com
    Updated Apr 13, 2024
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    (2024). Grant Giving Statistics for Hands Up Cleveland [Dataset]. https://www.instrumentl.com/990-report/hands-up-cleveland
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    Dataset updated
    Apr 13, 2024
    Area covered
    Cleveland
    Description

    Financial overview and grant giving statistics of Hands Up Cleveland

  12. a

    Cleveland Citywide Transportation Network Assessment

    • hub.arcgis.com
    Updated Oct 8, 2024
    + more versions
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    Cleveland | GIS (2024). Cleveland Citywide Transportation Network Assessment [Dataset]. https://hub.arcgis.com/maps/798bdc69f28a411ea5072258fc8a3477
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    Dataset updated
    Oct 8, 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

    Area covered
    Description

    This dataset includes a multimodal assessment of the Cleveland Transportation Network, conducted as part of the Cleveland Moves initiative. It assesses need and comfort levels as we work to improve safety and mobility on Cleveland streets.The Pedestrian Crossing Level of Stress layer was created by our Cleveland Moves consultant, Toole Design. It uses information about the number of lanes, the speed limit, and the presence of a pedestrian island to calculate how stressful a crossing is for someone crossing. These attributes are provided by Ohio and City of Cleveland data about streets and intersections. This data was generated in 2024. The Bicycle Level of Traffic Stress layer was created by our Cleveland Moves consultant, Toole Design. It uses information about the number of lanes, the speed limit, the type of bikeway, and more to calculate the level of stress for someone riding a bicycle on a given street. These attributes are provided by Ohio and City of Cleveland data about streets and intersections. This data was generated in 2024. The ODOT Active Transportation Need layer was created by the Ohio Department of transportation, and uses several factors to determine need including access to a vehicle, poverty rates, and more.Update FrequencyThis dataset will be updated with additional analysis from the Cleveland Moves planning process by early 2025. After that point, it will be updated annually to reflect changes to Cleveland streets geared towards improving safety and mobility. Related ApplicationsA summary of this dataset can be found in the Cleveland Moves Network Assessment Dashboard.Data GlossaryThe ODOT Active Transportation Need dataset was developed by the Ohio Department of Transportation. More information about this dataset is available on their website: https://gis.dot.state.oh.us/tims_classic/Glossary ContactSarah Davis, Active Transportation Senior Plannersdavis2@clevelandohio.gov

  13. c

    Cleveland Workplaces

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Jul 13, 2022
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    Cleveland | GIS (2022). Cleveland Workplaces [Dataset]. https://data.clevelandohio.gov/datasets/cleveland-workplaces
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    Dataset updated
    Jul 13, 2022
    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

    Area covered
    Description

    This is a collection of the US Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) for the Cleveland metro area.The data reflects characteristics of workplaces by census block (2020 vintage) shown as centroid points. It is based on unemployment insurance data and Quarterly Census of Employment and Wages (QCEW). This is a useful longitudinal source for understanding economic activity and relationships between where people work and live.This dataset was exported from the Census' powerful tool called OnTheMap and merged into one dataset with a year field. Note: This includes multiple years of data for each block, so specific years must be filtered for mapping. By default, the layer loads with the latest year of data.Data GlossaryClick here, then click on "Fields" to view documentation.Consult U.S. Census LEHD technical document for additional technical information. This extract is Primary Jobs.Update FrequencyAnnually with new data releases.ContactsDro Sohrabian, Urban Analytics and Innovation, dsohrabian@clevelandohio.gov

  14. i

    Grant Giving Statistics for The 50 Club Of Cleveland

    • instrumentl.com
    Updated Sep 27, 2022
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    (2022). Grant Giving Statistics for The 50 Club Of Cleveland [Dataset]. https://www.instrumentl.com/990-report/the-50-club-of-cleveland
    Explore at:
    Dataset updated
    Sep 27, 2022
    Area covered
    Cleveland
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of The 50 Club Of Cleveland

  15. i

    Grant Giving Statistics for Cleveland Right To Life Inc

    • instrumentl.com
    Updated Jul 13, 2021
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    (2021). Grant Giving Statistics for Cleveland Right To Life Inc [Dataset]. https://www.instrumentl.com/990-report/cleveland-right-to-life-inc
    Explore at:
    Dataset updated
    Jul 13, 2021
    Area covered
    Cleveland
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Cleveland Right To Life Inc

  16. i

    Grant Giving Statistics for Cleveland World Trade Association Educational...

    • instrumentl.com
    Updated Feb 26, 2023
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    (2023). Grant Giving Statistics for Cleveland World Trade Association Educational Foundation [Dataset]. https://www.instrumentl.com/990-report/cleveland-world-trade-association-educational-foundation
    Explore at:
    Dataset updated
    Feb 26, 2023
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Cleveland World Trade Association Educational Foundation

  17. N

    Cleveland Heights, OH Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Cleveland Heights, OH Age Group Population Dataset: A Complete Breakdown of Cleveland Heights Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aa83fb10-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Cleveland Heights, Ohio
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Cleveland Heights population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Cleveland Heights. The dataset can be utilized to understand the population distribution of Cleveland Heights by age. For example, using this dataset, we can identify the largest age group in Cleveland Heights.

    Key observations

    The largest age group in Cleveland Heights, OH was for the group of age 30 to 34 years years with a population of 3,832 (8.52%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Cleveland Heights, OH was the 85 years and over years with a population of 908 (2.02%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Cleveland Heights is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Cleveland Heights total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Cleveland Heights Population by Age. You can refer the same here

  18. c

    Cleveland Traffic Count Reports

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated May 19, 2022
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    Cleveland | GIS (2022). Cleveland Traffic Count Reports [Dataset]. https://data.clevelandohio.gov/datasets/cleveland-traffic-count-reports
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    Dataset updated
    May 19, 2022
    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

    Area covered
    Description

    This traffic count layer is a collection of speed and traffic observations conducted by the Division of Streets, Public Works, City of Cleveland and processed the City Planning department. The resulting report documents are PDFs that are attached to each point location in this layer. They include the coordinates of the traffic counting device, and various summaries of vehicle counts and clocked speeds in multiple directions.This layer includes counts from 2019 onwards with an attachment related to each location. Speed values are preliminary for the data popup; consult the report PDF for authoritative results of the count.Documentation and DefinitionsClick Here For Table and FieldsUpdate FrequencyMonthly, at the end of each monthThis dataset is featured on the following app(s):Transportation Data ViewerContactsPlease note: Traffic counts presented are preliminary information from count devices, and may have errors. Issues or questions regarding count data can be submitted to Cleveland's Division of Traffic Engineering

  19. i

    Grant Giving Statistics for Cleveland High School Foundation

    • instrumentl.com
    Updated Jul 5, 2021
    + more versions
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    (2021). Grant Giving Statistics for Cleveland High School Foundation [Dataset]. https://www.instrumentl.com/990-report/cleveland-high-school-foundation
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    Dataset updated
    Jul 5, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Cleveland High School Foundation

  20. Cleveland-Elyria metro area population U.S. 2010-2022

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). Cleveland-Elyria metro area population U.S. 2010-2022 [Dataset]. https://www.statista.com/statistics/815528/cleveland-metro-area-population/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the population of the Cleveland-Elyria metropolitan area in the United States was about 2.06 million people. This is a slight decrease from the previous year, when the population was about 2.07 million people.

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(2025). Employed Persons in Cleveland-Elyria, OH (MSA) [Dataset]. https://fred.stlouisfed.org/series/LAUMT391746000000005

Employed Persons in Cleveland-Elyria, OH (MSA)

LAUMT391746000000005

Explore at:
jsonAvailable download formats
Dataset updated
Feb 5, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
Elyria, Cleveland, Ohio
Description

Graph and download economic data for Employed Persons in Cleveland-Elyria, OH (MSA) (LAUMT391746000000005) from Jan 1990 to Dec 2024 about Cleveland, OH, household survey, employment, persons, and USA.

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