Demographics details for College park, MD vs Waverly, TN

Population Overview

Compare main population characteristics in College park, MD vs Waverly, TN.

Data College park Waverly
Population 34,190 4,297
Median Age 21.6 years 46.7 years
Median Income $76,973 $43,750
Married Families 17.0% 35.0%
Poverty Level 10% 12%
Unemployment Rate 5.5 4.5

Population Comparison: College park vs Waverly

  • In College park, the population is higher at 34,190, compared to 4,297 in Waverly.
  • The median age in Waverly is higher at 46.7 years, compared to 21.6 years in College park.
  • College park has a higher median income of $76,973 compared to $43,750 in Waverly.
  • In Waverly, the percentage of married families is higher at 35.0%, compared to 17.0% in College park.
  • The poverty level is higher in Waverly at 12%, compared to 10% in College park.
  • The unemployment rate in College park is higher at 5.5%, compared to 4.5% in Waverly.

Demographics

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

Demographic College park Waverly
Black 23 2
White 39 91
Asian 14 Data is updating
Hispanic 17 2
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: College park vs Waverly

  • A higher percentage of Black residents are in College park at 23% compared to 2% in Waverly.
  • The percentage of White residents is higher in Waverly at 91% compared to 39% in College park.
  • The Asian population is larger in College park at 14% compared to 0% in Waverly.
  • The Hispanic community is larger in College park at 17% compared to 2% in Waverly.
  • More residents identify as two or more races in College park at 7% compared to 5% in Waverly.
  • The percentage of American Indian residents is the same in both College park and Waverly at 0%.

Health Statistics

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

Health Metric College park Waverly
Mental Health Not Good 14.8% 19.9%
Physical Health Not Good 10.0% 13.9%
Depression 15.4% 28.8%
Smoking 12.4% 23.6%
Binge Drinking 12.8% 15.6%
Obesity 36.4% 37.8%
Disability Percentage 5.0% 19.0%

Health Statistics Comparison: College park vs Waverly

  • In Waverly, a higher percentage report poor mental health at 19.9% compared to 14.8% in College park.
  • Higher depression rates are seen in Waverly at 28.8% versus 15.4% in College park.
  • Waverly has a higher smoking rate at 23.6% compared to 12.4% in College park.
  • More residents engage in binge drinking in Waverly at 15.6% compared to 12.8% in College park.
  • Waverly has higher obesity rates at 37.8% compared to 36.4% in College park.
  • There is a higher percentage of disabled individuals in Waverly at 19.0% 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 Waverly
No Schooling 1.9% (657) 1.0% (41)
High School Diploma 6.4% (2,199) 18.4% (792)
Less than High School 9.4% (3,210) 21.9% (943)
Bachelor's Degree and Higher 19.8% (6,769) 16.5% (709)

Education Levels Comparison: College park vs Waverly

  • A higher percentage of residents in College park have no formal schooling at 1.9% compared to 1.0% in Waverly.
  • In Waverly, the rate of residents with high school diplomas is higher at 18.4% compared to 6.4% in College park.
  • The percentage of residents with less than a high school education is higher in Waverly at 21.9%, 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 16.5% in Waverly.

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.