Demographics details for Clayton, OH vs Hot springs village, AR

Population Overview

Compare main population characteristics in Clayton, OH vs Hot springs village, AR.

Data Clayton Hot springs village
Population 13,235 16,843
Median Age 46.0 years 69.7 years
Median Income $89,282 $68,580
Married Families 47.0% 61.0%
Poverty Level 10% 7%
Unemployment Rate 3.5 3.2

Population Comparison: Clayton vs Hot springs village

  • The population in Hot springs village is higher at 16,843, compared to 13,235 in Clayton.
  • The median age in Hot springs village is higher at 69.7 years, compared to 46.0 years in Clayton.
  • Clayton has a higher median income of $89,282 compared to $68,580 in Hot springs village.
  • In Hot springs village, the percentage of married families is higher at 61.0%, compared to 47.0% in Clayton.
  • Clayton has a higher poverty level at 10% compared to 7% in Hot springs village.
  • The unemployment rate in Clayton is higher at 3.5%, compared to 3.2% in Hot springs village.

Demographics

Demographics Clayton vs Hot springs village provide insight into the diversity of the communities to compare.

Demographic Clayton Hot springs village
Black 30 1
White 61 95
Asian 2 Data is updating
Hispanic 2 1
Two or More Races 5 3
American Indian Data is updating Data is updating

Demographics Comparison: Clayton vs Hot springs village

  • A higher percentage of Black residents are in Clayton at 30% compared to 1% in Hot springs village.
  • The percentage of White residents is higher in Hot springs village at 95% compared to 61% in Clayton.
  • The Asian population is larger in Clayton at 2% compared to 0% in Hot springs village.
  • The Hispanic community is larger in Clayton at 2% compared to 1% in Hot springs village.
  • More residents identify as two or more races in Clayton at 5% compared to 3% in Hot springs village.
  • The percentage of American Indian residents is the same in both Clayton and Hot springs village at 0%.

Health Statistics

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

Health Metric Clayton Hot springs village
Mental Health Not Good 16.8% 17.1%
Physical Health Not Good 10.3% 10.6%
Depression 24.4% 25.1%
Smoking 15.3% 16.3%
Binge Drinking 18.9% 16.6%
Obesity 37.4% 33.0%
Disability Percentage 13.0% 21.0%

Health Statistics Comparison: Clayton vs Hot springs village

  • In Hot springs village, a higher percentage report poor mental health at 17.1% compared to 16.8% in Clayton.
  • Higher depression rates are seen in Hot springs village at 25.1% versus 24.4% in Clayton.
  • Hot springs village has a higher smoking rate at 16.3% compared to 15.3% in Clayton.
  • Binge drinking is more common in Clayton at 18.9% compared to 16.6% in Hot springs village.
  • Obesity rates are higher in Clayton at 37.4% compared to 33.0% in Hot springs village.
  • There is a higher percentage of disabled individuals in Hot springs village at 21.0% compared to 13.0% in Clayton.

Education Levels

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

Education Level Clayton Hot springs village
No Schooling 0.2% (30) 0.4% (60)
High School Diploma 17.9% (2,371) 17.7% (2,980)
Less than High School 5.6% (746) 5.0% (848)
Bachelor's Degree and Higher 26.3% (3,484) 33.4% (5,618)

Education Levels Comparison: Clayton vs Hot springs village

  • In Hot springs village, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Clayton.
  • A higher percentage of residents in Clayton hold a high school diploma at 17.9% compared to 17.7% in Hot springs village.
  • More residents in Clayton have less than a high school education at 5.6% compared to 5.0% in Hot springs village.
  • In Hot springs village, a larger share of residents have a bachelor's degree or higher at 33.4% compared to 26.3% in Clayton.

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.