Demographics details for What cheer, IA vs Russell springs, KY

Population Overview

Compare main population characteristics in What cheer, IA vs Russell springs, KY.

Data What cheer Russell springs
Population 597 2,750
Median Age 34.8 years 44.8 years
Median Income $45,500 $34,219
Married Families 45.0% 29.0%
Poverty Level 12% 15%
Unemployment Rate 3.9 4.5

Population Comparison: What cheer vs Russell springs

  • The population in Russell springs is higher at 2,750, compared to 597 in What cheer.
  • The median age in Russell springs is higher at 44.8 years, compared to 34.8 years in What cheer.
  • What cheer has a higher median income of $45,500 compared to $34,219 in Russell springs.
  • A higher percentage of married families is found in What cheer at 45.0% compared to 29.0% in Russell springs.
  • The poverty level is higher in Russell springs at 15%, compared to 12% in What cheer.
  • Russell springs has a higher unemployment rate at 4.5% compared to 3.9% in What cheer.

Demographics

Demographics What cheer vs Russell springs provide insight into the diversity of the communities to compare.

Demographic What cheer Russell springs
Black 3 1
White 87 88
Asian Data is updating Data is updating
Hispanic 6 3
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: What cheer vs Russell springs

  • A higher percentage of Black residents are in What cheer at 3% compared to 1% in Russell springs.
  • The percentage of White residents is higher in Russell springs at 88% compared to 87% in What cheer.
  • Both What cheer and Russell springs have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in What cheer at 6% compared to 3% in Russell springs.
  • The percentage of residents identifying as two or more races is higher in Russell springs at 8%, compared to 4% in What cheer.
  • The percentage of American Indian residents is the same in both What cheer and Russell springs at 0%.

Health Statistics

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

Health Metric What cheer Russell springs
Mental Health Not Good 17.0% 20.7%
Physical Health Not Good 11.3% 15.6%
Depression 20.1% 29.0%
Smoking 21.2% 25.6%
Binge Drinking 21.0% 14.5%
Obesity 40.1% 40.3%
Disability Percentage 30.0% 15.0%

Health Statistics Comparison: What cheer vs Russell springs

  • In Russell springs, a higher percentage report poor mental health at 20.7% compared to 17.0% in What cheer.
  • Higher depression rates are seen in Russell springs at 29.0% versus 20.1% in What cheer.
  • Russell springs has a higher smoking rate at 25.6% compared to 21.2% in What cheer.
  • Binge drinking is more common in What cheer at 21.0% compared to 14.5% in Russell springs.
  • Russell springs has higher obesity rates at 40.3% compared to 40.1% in What cheer.
  • Disability percentages are higher in What cheer at 30.0% compared to 15.0% in Russell springs.

Education Levels

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

Education Level What cheer Russell springs
No Schooling 1.5% (9) 0.7% (20)
High School Diploma 31.8% (190) 13.6% (375)
Less than High School 11.9% (71) 23.3% (642)
Bachelor's Degree and Higher 5.0% (30) 18.4% (505)

Education Levels Comparison: What cheer vs Russell springs

  • A higher percentage of residents in What cheer have no formal schooling at 1.5% compared to 0.7% in Russell springs.
  • A higher percentage of residents in What cheer hold a high school diploma at 31.8% compared to 13.6% in Russell springs.
  • The percentage of residents with less than a high school education is higher in Russell springs at 23.3%, compared to 11.9% in What cheer.
  • In Russell springs, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 5.0% in What cheer.

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.