Demographics details for Severna park, MD vs Petersburg, PA

Population Overview

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

Data Severna park Petersburg
Population 40,452 412
Median Age 41.5 years 39.8 years
Median Income $164,288 $58,125
Married Families 48.0% 30.0%
Poverty Level 3% 8%
Unemployment Rate 3.2 5.2

Population Comparison: Severna park vs Petersburg

  • In Severna park, the population is higher at 40,452, compared to 412 in Petersburg.
  • Residents in Severna park have a higher median age of 41.5 years compared to 39.8 years in Petersburg.
  • Severna park has a higher median income of $164,288 compared to $58,125 in Petersburg.
  • A higher percentage of married families is found in Severna park at 48.0% compared to 30.0% in Petersburg.
  • The poverty level is higher in Petersburg at 8%, compared to 3% in Severna park.
  • Petersburg has a higher unemployment rate at 5.2% compared to 3.2% in Severna park.

Demographics

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

Demographic Severna park Petersburg
Black 3 Data is updating
White 86 98
Asian 3 Data is updating
Hispanic 3 Data is updating
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Severna park vs Petersburg

  • A higher percentage of Black residents are in Severna park at 3% compared to 0% in Petersburg.
  • The percentage of White residents is higher in Petersburg at 98% compared to 86% in Severna park.
  • The Asian population is larger in Severna park at 3% compared to 0% in Petersburg.
  • The Hispanic community is larger in Severna park at 3% compared to 0% in Petersburg.
  • More residents identify as two or more races in Severna park at 5% compared to 2% in Petersburg.
  • The percentage of American Indian residents is the same in both Severna park and Petersburg at 0%.

Health Statistics

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

Health Metric Severna park Petersburg
Mental Health Not Good 13.1% 18.6%
Physical Health Not Good 7.3% 12.7%
Depression 19.9% 24.5%
Smoking 9.0% 22.3%
Binge Drinking 18.4% 18.6%
Obesity 31.9% 38.1%
Disability Percentage 8.0% 18.0%

Health Statistics Comparison: Severna park vs Petersburg

  • In Petersburg, a higher percentage report poor mental health at 18.6% compared to 13.1% in Severna park.
  • Higher depression rates are seen in Petersburg at 24.5% versus 19.9% in Severna park.
  • Petersburg has a higher smoking rate at 22.3% compared to 9.0% in Severna park.
  • More residents engage in binge drinking in Petersburg at 18.6% compared to 18.4% in Severna park.
  • Petersburg has higher obesity rates at 38.1% compared to 31.9% in Severna park.
  • There is a higher percentage of disabled individuals in Petersburg at 18.0% 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 Severna park Petersburg
No Schooling 0.4% (145) 0.5% (2)
High School Diploma 10.9% (4,392) 35.2% (145)
Less than High School 4.3% (1,731) 15.0% (62)
Bachelor's Degree and Higher 38.1% (15,411) 1.5% (6)

Education Levels Comparison: Severna park vs Petersburg

  • In Petersburg, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Severna park.
  • In Petersburg, the rate of residents with high school diplomas is higher at 35.2% compared to 10.9% in Severna park.
  • The percentage of residents with less than a high school education is higher in Petersburg at 15.0%, compared to 4.3% in Severna park.
  • A higher percentage of residents in Severna park hold a bachelor's degree or higher at 38.1% compared to 1.5% in Petersburg.

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.