Demographics details for College park, MD vs Central city, KY

Population Overview

Compare main population characteristics in College park, MD vs Central city, KY.

Data College park Central city
Population 34,190 5,810
Median Age 21.6 years 33.5 years
Median Income $76,973 $52,184
Married Families 17.0% 38.0%
Poverty Level 10% 16%
Unemployment Rate 5.5 3.5

Population Comparison: College park vs Central city

  • In College park, the population is higher at 34,190, compared to 5,810 in Central city.
  • The median age in Central city is higher at 33.5 years, compared to 21.6 years in College park.
  • College park has a higher median income of $76,973 compared to $52,184 in Central city.
  • In Central city, the percentage of married families is higher at 38.0%, compared to 17.0% in College park.
  • The poverty level is higher in Central city at 16%, compared to 10% in College park.
  • The unemployment rate in College park is higher at 5.5%, compared to 3.5% in Central city.

Demographics

Demographics College park vs Central city provide insight into the diversity of the communities to compare.

Demographic College park Central city
Black 23 3
White 39 88
Asian 14 Data is updating
Hispanic 17 2
Two or More Races 7 6
American Indian Data is updating 1

Demographics Comparison: College park vs Central city

  • A higher percentage of Black residents are in College park at 23% compared to 3% in Central city.
  • The percentage of White residents is higher in Central city at 88% compared to 39% in College park.
  • The Asian population is larger in College park at 14% compared to 0% in Central city.
  • The Hispanic community is larger in College park at 17% compared to 2% in Central city.
  • More residents identify as two or more races in College park at 7% compared to 6% in Central city.
  • In Central city, the percentage of American Indian residents is higher at 1%, compared to 0% in College park.

Health Statistics

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

Health Metric College park Central city
Mental Health Not Good 14.8% 19.3%
Physical Health Not Good 10.0% 15.5%
Depression 15.4% 26.8%
Smoking 12.4% 24.8%
Binge Drinking 12.8% 14.8%
Obesity 36.4% 41.9%
Disability Percentage 5.0% 15.0%

Health Statistics Comparison: College park vs Central city

  • In Central city, a higher percentage report poor mental health at 19.3% compared to 14.8% in College park.
  • Higher depression rates are seen in Central city at 26.8% versus 15.4% in College park.
  • Central city has a higher smoking rate at 24.8% compared to 12.4% in College park.
  • More residents engage in binge drinking in Central city at 14.8% compared to 12.8% in College park.
  • Central city has higher obesity rates at 41.9% compared to 36.4% in College park.
  • There is a higher percentage of disabled individuals in Central city at 15.0% compared to 5.0% in College park.

Education Levels

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

Education Level College park Central city
No Schooling 1.9% (657) 1.1% (65)
High School Diploma 6.4% (2,199) 15.4% (897)
Less than High School 9.4% (3,210) 15.6% (905)
Bachelor's Degree and Higher 19.8% (6,769) 8.3% (480)

Education Levels Comparison: College park vs Central city

  • A higher percentage of residents in College park have no formal schooling at 1.9% compared to 1.1% in Central city.
  • In Central city, the rate of residents with high school diplomas is higher at 15.4% compared to 6.4% in College park.
  • The percentage of residents with less than a high school education is higher in Central city at 15.6%, compared to 9.4% in College park.
  • A higher percentage of residents in College park hold a bachelor's degree or higher at 19.8% compared to 8.3% in Central 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.