Demographics details for Overland park, KS vs Cross city, FL

Population Overview

Compare main population characteristics in Overland park, KS vs Cross city, FL.

Data Overland park Cross city
Population 197,726 1,754
Median Age 38.4 years 40.2 years
Median Income $100,876 $44,500
Married Families 44.0% 47.0%
Poverty Level 6% 18%
Unemployment Rate 3.3 3.5

Population Comparison: Overland park vs Cross city

  • In Overland park, the population is higher at 197,726, compared to 1,754 in Cross city.
  • The median age in Cross city is higher at 40.2 years, compared to 38.4 years in Overland park.
  • Overland park has a higher median income of $100,876 compared to $44,500 in Cross city.
  • In Cross city, the percentage of married families is higher at 47.0%, compared to 44.0% in Overland park.
  • The poverty level is higher in Cross city at 18%, compared to 6% in Overland park.
  • Cross city has a higher unemployment rate at 3.5% compared to 3.3% in Overland park.

Demographics

Demographics Overland park vs Cross city provide insight into the diversity of the communities to compare.

Demographic Overland park Cross city
Black 5 20
White 74 61
Asian 9 2
Hispanic 7 9
Two or More Races 5 8
American Indian Data is updating Data is updating

Demographics Comparison: Overland park vs Cross city

  • In Cross city, the percentage of Black residents is higher at 20% compared to 5% in Overland park.
  • Overland park has a higher percentage of White residents at 74% compared to 61% in Cross city.
  • The Asian population is larger in Overland park at 9% compared to 2% in Cross city.
  • Cross city has a higher percentage of Hispanic residents at 9%, compared to 7% in Overland park.
  • The percentage of residents identifying as two or more races is higher in Cross city at 8%, compared to 5% in Overland park.
  • The percentage of American Indian residents is the same in both Overland park and Cross city at 0%.

Health Statistics

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

Health Metric Overland park Cross city
Mental Health Not Good 12.2% 20.0%
Physical Health Not Good 6.9% 15.8%
Depression 18.3% 23.8%
Smoking 9.6% 29.1%
Binge Drinking 19.7% 14.8%
Obesity 28.6% 40.8%
Disability Percentage 8.0% 32.0%

Health Statistics Comparison: Overland park vs Cross city

  • In Cross city, a higher percentage report poor mental health at 20.0% compared to 12.2% in Overland park.
  • Higher depression rates are seen in Cross city at 23.8% versus 18.3% in Overland park.
  • Cross city has a higher smoking rate at 29.1% compared to 9.6% in Overland park.
  • Binge drinking is more common in Overland park at 19.7% compared to 14.8% in Cross city.
  • Cross city has higher obesity rates at 40.8% compared to 28.6% in Overland park.
  • There is a higher percentage of disabled individuals in Cross city at 32.0% compared to 8.0% in Overland park.

Education Levels

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

Education Level Overland park Cross city
No Schooling 0.5% (897) 0.9% (15)
High School Diploma 7.1% (13,953) 39.2% (688)
Less than High School 3.3% (6,590) 11.7% (205)
Bachelor's Degree and Higher 43.1% (85,152) 7.8% (136)

Education Levels Comparison: Overland park vs Cross city

  • In Cross city, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Overland park.
  • In Cross city, the rate of residents with high school diplomas is higher at 39.2% compared to 7.1% in Overland park.
  • The percentage of residents with less than a high school education is higher in Cross city at 11.7%, compared to 3.3% in Overland park.
  • A higher percentage of residents in Overland park hold a bachelor's degree or higher at 43.1% compared to 7.8% in Cross city.

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.