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.

Population 25 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Cleveland, Ohio by age, education, race, gender, work experience and more.

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; percent; poverty; 5-year; population; and USA.

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; OH; percent; poverty; 5-year; population; and USA.

45 to 54 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Cleveland, Ohio by age, education, race, gender, work experience and more.

Asian Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Cleveland, Ohio by age, education, race, gender, work experience and more.

Under 18 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Cleveland, Ohio by age, education, race, gender, work experience and more.

This layer is the Neighborhood Development Index, or NDI. It is based on a study done by Community Development, and the Poverty Center at Case Western to identify parts of the city that fall in the middle of the spectrum of socioeconomic and housing conditions. Middle neighborhoods are typically areas on the edge between growth and decline. These are neither the strongest neighborhoods in a city nor are they the most distressed. In the process of those studies, the resulting NDI provided here is useful for policy work that is responsive to housing and economic conditions. The research team collected over 100 indicators which, through factor analysis, condensed to 65 variables across six distinct factors. These variables include, household income, housing value, race, education, age, poverty rate, health insurance attainment, foreign-born rates, loan rates, and more. These factors were further condensed into three categories here.1) Market-Rate - Relatively active in development, growing rents and transfer values, seeing market-driven development2) Middle Neighborhood - Stable areas both steadily improving or declining in property value and socioeconomic conditions3) Opportunity - Lower property values, income levels, and requiring substantially greater incentive for redevelopmentThese categories, are also used in conjunction with Community Development's residential tax abatement program. The neighborhood tiers are used to determine the level of tax abatement available.Data GlossaryObservations: Aggregated socieconomic indicators by Census block groupBlock Group: Geographic ID of the Census block groupClassification: One of the 3 tiers: Opportunity, Middle, MarketUpdate FrequencyThis data is set to be updated every 2 years. Last update was May 6, 2022--------------------------------UPDATE:05/05/2022The nomenclature "underinvested" has been modified to "opportunity."Many of the N/A areas have been converted to the "opportunity" designation. Current as of 5/5/2022ContactsCity of Cleveland, Department of Community Development

Female Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Cleveland, Ohio by age, education, race, gender, work experience and more.

Population Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Cleveland Heights, Ohio by age, education, race, gender, work experience and more.

Black or African American Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Cleveland Heights, Ohio by age, education, race, gender, work experience and more.

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

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.

American Indian and Alaska Native Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Cleveland Heights, Ohio by age, education, race, gender, work experience and more.

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

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