In 2023, about 13.3 percent of Ohio's population lived below the poverty line. This was no change from the previous year. The poverty rate of the United States can be accessed here.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Cuyahoga County, OH (S1701ACS039035) from 2012 to 2023 about Cuyahoga County, OH; Cleveland; OH; poverty; percent; 5-year; population; and USA.

Graph and download economic data for Estimate of People Age 0-17 in Poverty in Cuyahoga County, OH (PEU18OH39035A647NCEN) from 1989 to 2023 about Cuyahoga County, OH; Cleveland; under 18 years; child; poverty; OH; persons; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Lake County, OH (S1701ACS039085) from 2012 to 2023 about Lake County, OH; Cleveland; OH; poverty; percent; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Lorain County, OH (S1701ACS039093) from 2012 to 2023 about Lorain County, OH; Cleveland; OH; poverty; percent; 5-year; population; and USA.

U.S. Census Bureau QuickFacts statistics for Cleveland city, Ohio. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Medina County, OH (S1701ACS039103) from 2012 to 2023 about Medina County, OH; Cleveland; poverty; OH; percent; 5-year; population; and USA.

DescriptionThis layer represents the Neighborhood Development Index (NDI), developed through a study by the Department of Community Development and the Poverty Center at Case Western Reserve University. The NDI identifies areas of Cleveland that fall in the middle of the socioeconomic and housing spectrum—neither the strongest nor the most distressed neighborhoods. These “middle neighborhoods” are often on the edge between growth and decline.The research team analyzed over 100 indicators, condensed through factor analysis into 65 variables across six distinct factors. These include household income, housing value, race, education, age, poverty rate, health insurance coverage, foreign-born rates, loan activity, and more. The final classification includes three categories:Market-Rate: Active development, rising rents and transfer values, market-driven growthMiddle Neighborhood: Stable areas with gradual improvement or decline in property and socioeconomic conditionsOpportunity: Lower property values and income levels, requiring greater redevelopment incentivesThese categories are also used to determine eligibility and levels for the City’s residential tax abatement program.Data GlossarySee the Attributes section below for details about each column in this dataset.Update FrequencyEvery 2 yearsContactsCity of Cleveland, Department of Community Development

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Geauga County, OH (S1701ACS039055) from 2012 to 2023 about Geauga County, OH; Cleveland; poverty; OH; percent; 5-year; population; and USA.

U.S. Census Bureau QuickFacts statistics for East Cleveland city, Ohio. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The Urban Institute undertook a comprehensive assessment of communities approaching decay to provide public officials with strategies for identifying communities in the early stages of decay and intervening effectively to prevent continued deterioration and crime. Although community decline is a dynamic spiral downward in which the physical condition of the neighborhood, adherence to laws and conventional behavioral norms, and economic resources worsen, the question of whether decay fosters or signals increasing risk of crime, or crime fosters decay (as investors and residents flee as reactions to crime), or both, is not easily answered. Using specific indicators to identify future trends, predictor models for Washington, DC, and Cleveland were prepared, based on data available for each city. The models were designed to predict whether a census tract should be identified as at risk for very high crime and were tested using logistic regression. The classification of a tract as a "very high crime" tract was based on its crime rate compared to crime rates for other tracts in the same city. To control for differences in population and to facilitate cross-tract comparisons, counts of crime incidents and other events were converted to rates per 1,000 residents. Tracts with less than 100 residents were considered nonresidential or institutional and were deleted from the analysis. Washington, DC, variables include rates for arson and drug sales or possession, percentage of lots zoned for commercial use, percentage of housing occupied by owners, scale of family poverty, presence of public housing units for 1980, 1983, and 1988, and rates for aggravated assaults, auto thefts, burglaries, homicides, rapes, and robberies for 1980, 1983, 1988, and 1990. Cleveland variables include rates for auto thefts, burglaries, homicides, rapes, robberies, drug sales or possession, and delinquency filings in juvenile court, and scale of family poverty for 1980 through 1989. Rates for aggravated assaults are provided for 1986 through 1989 and rates for arson are provided for 1983 through 1988.

Summary The Enrollments dataset contains basic information for local workforce program enrollments with OhioMeansJobs|Cleveland-Cuyahoga County (July 2022 - June 2025). Includes jobseeker demographic, location, employment barrier, and program enrollment information from ARIES, the state-wide case management system for workforce programs. Update FrequencyQuarterly Related Data ItemsWorkforce Program DashboardWorkforce Program Placements Dataset ContactsGreater Cleveland Works (formerly Cleveland-Cuyahoga County Workforce Development Board) oversees the public workforce system – helping employers find and develop the skilled workers they need and helping jobseekers find good-paying jobs. Greater Cleveland Works currently serves over 10,000 jobseekers a year – helping the region prosper. 1910 Carnegie Avenue, Cleveland, OH 44115 216-777-8200greaterclevelandworks.orgDashboard/Data-specific questions: email bryan.metlesitz@jfs.ohio.gov Data GlossaryField | Definition Customer_ID | A unique identification number for workforce data systemsCurrently_Enrolled | Identifies which customers are currently enrolled in a local workforce program. (snapshot in time of active enrollments) Enrollment_Program | Workforce programs available to job seekers. Enrollment_Program_Start_Date | The day a customer begins receiving services funded by a specific workforce program. Enrollment_Program_Completion_Date | The day a program enrollment is concluded. Enrollment_Completion_Reason | The outcome of a program enrollment. (the reason why a customer program enrollment is concluded) Customer_Age | The age of a customer determined by the Date of Birth entered into ARIESCustomer_Gender | The gender of a customerCustomer_Race | The race of a customerCustomer_Ethnicity | The ethnicity of a customerProgram_Year | The Program Year associated with the Employment Start DateThe CCWDB Program Year runs from July-JunePY_Quarter | The Program Quarter associated with the Employment Start Date (Q1 = July - September, Q2 = October - December, Q3 = January - March, Q4 = April - June) barriers_Low_Income | An individual or member of a family who receives now or in the last 6 months, income-based public assistance; in a family whose income is not higher than the poverty line or 705 of the lower living standard income level; is homeless; eligible for free or reduced price lunch; foster child for whom government payments are made or is an individual with a disability. barriers_Foster_Care_Status | An individual with a temporary living situation for kids whose parents cannot take care of them and whose need for care has come to the attention of child welfare agency staff. barriers_Homeless | Individual lacks a fixed, regular, and adequate nighttime residencebarriers_Veteran_Flag | Individual is a veteranbarriers_Customer_Disability_Status |  An individual without the ability to work at a substantial gainful activity due to a physical or mental impairmentbarriers_Youth_Offender | A youth involved with the justice systembarriers_Adult_Offender | An Adult involved with the justice systembarriers_TANF_Recipient | An individual who receives income and/or benefits from the federal Temporary Assistance to Needy Families program barriers_SSI_Recipient | An individual who receives Supplemental Security Income from the federal Social Security Administrationbarriers_SNAP_Recipient | An individual who receives help to buy food through the Supplemental Nutrition Assistance Programbarriers_Other_Public_Assistance_Recipient | An individual who receives some form of means-tested assistanceindex | Unique identification number for the CCWDB Open Data Placement datasetCity | The City in which the customer residesPostal | The Zip Code in which the customer residesWard | The City of Cleveland Ward in which the customer resides

DescriptionThis dataset includes a multimodal assessment of the Cleveland Transportation Network, conducted as part of the Cleveland Moves initiative. It evaluates need and comfort levels to improve safety and mobility on Cleveland streets.The Pedestrian Crossing Level of Stress layer was created by Toole Design and uses attributes such as number of lanes, speed limit, and presence of pedestrian islands to assess crossing stress. Data sources include Ohio and City of Cleveland street and intersection data (2024).The Bicycle Level of Traffic Stress layer, also developed by Toole Design, evaluates stress for cyclists based on lane count, speed limit, bikeway type, and other factors. This data was also generated in 2024.The ODOT Active Transportation Need layer was developed by the Ohio Department of Transportation. It incorporates factors such as vehicle access and poverty rates to determine transportation need.Update FrequencyThis dataset will be updated with additional analysis from the Cleveland Moves planning process by early 2025. After that, updates will occur annually to reflect changes aimed at improving safety and mobility.Related ApplicationsA summary of this dataset is available in the Cleveland Moves Network Assessment Dashboard.The ODOT Active Transportation Need dataset was developed by the Ohio Department of Transportation. More information is available on their website: ODOT GlossaryContactsSarah Davis, Active Transportation Senior Plannersdavis2@clevelandohio.gov

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