Demographics details for Hyde park, PA vs Severna park, MD

Population Overview

Compare main population characteristics in Hyde park, PA vs Severna park, MD.

Data Hyde park Severna park
Population 2,332 40,452
Median Age 36.9 years 41.5 years
Median Income $59,792 $164,288
Married Families 39.0% 48.0%
Poverty Level 12% 3%
Unemployment Rate 5.2 3.2

Population Comparison: Hyde park vs Severna park

  • The population in Severna park is higher at 40,452, compared to 2,332 in Hyde park.
  • The median age in Severna park is higher at 41.5 years, compared to 36.9 years in Hyde park.
  • Severna park has a higher median income of $164,288, compared to $59,792 in Hyde park.
  • In Severna park, the percentage of married families is higher at 48.0%, compared to 39.0% in Hyde park.
  • Hyde park has a higher poverty level at 12% compared to 3% in Severna park.
  • The unemployment rate in Hyde park is higher at 5.2%, compared to 3.2% in Severna park.

Demographics

Demographics Hyde park vs Severna park provide insight into the diversity of the communities to compare.

Demographic Hyde park Severna park
Black 3 3
White 36 86
Asian Data is updating 3
Hispanic 49 3
Two or More Races 7 5
American Indian 5 Data is updating

Demographics Comparison: Hyde park vs Severna park

  • The percentage of Black residents is the same in both Hyde park and Severna park at 3%.
  • The percentage of White residents is higher in Severna park at 86% compared to 36% in Hyde park.
  • In Severna park, the Asian population stands at 3%, greater than 0% in Hyde park.
  • The Hispanic community is larger in Hyde park at 49% compared to 3% in Severna park.
  • More residents identify as two or more races in Hyde park at 7% compared to 5% in Severna park.
  • A greater percentage of American Indian residents live in Hyde park at 5% compared to 0% in Severna park.

Health Statistics

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

Health Metric Hyde park Severna park
Mental Health Not Good 17.0% 13.1%
Physical Health Not Good 12.6% 7.3%
Depression 23.0% 19.9%
Smoking 20.7% 9.0%
Binge Drinking 16.6% 18.4%
Obesity 36.6% 31.9%
Disability Percentage 17.0% 8.0%

Health Statistics Comparison: Hyde park vs Severna park

  • More residents in Hyde park report poor mental health at 17.0% compared to 13.1% in Severna park.
  • Depression is more prevalent in Hyde park at 23.0% compared to 19.9% in Severna park.
  • Smoking is more prevalent in Hyde park at 20.7% compared to 9.0% in Severna park.
  • More residents engage in binge drinking in Severna park at 18.4% compared to 16.6% in Hyde park.
  • Obesity rates are higher in Hyde park at 36.6% compared to 31.9% in Severna park.
  • Disability percentages are higher in Hyde park at 17.0% compared to 8.0% in Severna park.

Education Levels

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

Education Level Hyde park Severna park
No Schooling 4.1% (96) 0.4% (145)
High School Diploma 25.6% (598) 10.9% (4,392)
Less than High School 29.8% (695) 4.3% (1,731)
Bachelor's Degree and Higher 10.7% (249) 38.1% (15,411)

Education Levels Comparison: Hyde park vs Severna park

  • A higher percentage of residents in Hyde park have no formal schooling at 4.1% compared to 0.4% in Severna park.
  • A higher percentage of residents in Hyde park hold a high school diploma at 25.6% compared to 10.9% in Severna park.
  • More residents in Hyde park have less than a high school education at 29.8% compared to 4.3% in Severna park.
  • In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 10.7% in Hyde park.

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.