Demographics details for Prescott valley, AZ vs Conneaut, OH

Population Overview

Compare main population characteristics in Prescott valley, AZ vs Conneaut, OH.

Data Prescott valley Conneaut
Population 49,075 12,400
Median Age 47.7 years 40.0 years
Median Income $66,617 $55,708
Married Families 43.0% 31.0%
Poverty Level 6% 10%
Unemployment Rate 3.4 5.0

Population Comparison: Prescott valley vs Conneaut

  • In Prescott valley, the population is higher at 49,075, compared to 12,400 in Conneaut.
  • Residents in Prescott valley have a higher median age of 47.7 years compared to 40.0 years in Conneaut.
  • Prescott valley has a higher median income of $66,617 compared to $55,708 in Conneaut.
  • A higher percentage of married families is found in Prescott valley at 43.0% compared to 31.0% in Conneaut.
  • The poverty level is higher in Conneaut at 10%, compared to 6% in Prescott valley.
  • Conneaut has a higher unemployment rate at 5.0% compared to 3.4% in Prescott valley.

Demographics

Demographics Prescott valley vs Conneaut provide insight into the diversity of the communities to compare.

Demographic Prescott valley Conneaut
Black 1 7
White 67 86
Asian 1 1
Hispanic 19 2
Two or More Races 11 4
American Indian 1 Data is updating

Demographics Comparison: Prescott valley vs Conneaut

  • In Conneaut, the percentage of Black residents is higher at 7% compared to 1% in Prescott valley.
  • The percentage of White residents is higher in Conneaut at 86% compared to 67% in Prescott valley.
  • Both Prescott valley and Conneaut have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Prescott valley at 19% compared to 2% in Conneaut.
  • More residents identify as two or more races in Prescott valley at 11% compared to 4% in Conneaut.
  • A greater percentage of American Indian residents live in Prescott valley at 1% compared to 0% in Conneaut.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Prescott valley Conneaut
Mental Health Not Good 18.6% 18.4%
Physical Health Not Good 11.9% 14.1%
Depression 22.8% 25.4%
Smoking 18.5% 27.0%
Binge Drinking 16.6% 18.4%
Obesity 28.1% 45.5%
Disability Percentage 16.0% 17.0%

Health Statistics Comparison: Prescott valley vs Conneaut

  • More residents in Prescott valley report poor mental health at 18.6% compared to 18.4% in Conneaut.
  • Higher depression rates are seen in Conneaut at 25.4% versus 22.8% in Prescott valley.
  • Conneaut has a higher smoking rate at 27.0% compared to 18.5% in Prescott valley.
  • More residents engage in binge drinking in Conneaut at 18.4% compared to 16.6% in Prescott valley.
  • Conneaut has higher obesity rates at 45.5% compared to 28.1% in Prescott valley.
  • There is a higher percentage of disabled individuals in Conneaut at 17.0% compared to 16.0% in Prescott valley.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Prescott valley Conneaut
No Schooling 0.8% (399) 0.4% (50)
High School Diploma 17.1% (8,386) 26.8% (3,319)
Less than High School 12.3% (6,044) 17.4% (2,157)
Bachelor's Degree and Higher 15.9% (7,817) 11.4% (1,411)

Education Levels Comparison: Prescott valley vs Conneaut

  • A higher percentage of residents in Prescott valley have no formal schooling at 0.8% compared to 0.4% in Conneaut.
  • In Conneaut, the rate of residents with high school diplomas is higher at 26.8% compared to 17.1% in Prescott valley.
  • The percentage of residents with less than a high school education is higher in Conneaut at 17.4%, compared to 12.3% in Prescott valley.
  • A higher percentage of residents in Prescott valley hold a bachelor's degree or higher at 15.9% compared to 11.4% in Conneaut.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.