Demographics details for Severna park, MD vs Schenectady, NY

Population Overview

Compare main population characteristics in Severna park, MD vs Schenectady, NY.

Data Severna park Schenectady
Population 40,452 68,809
Median Age 41.5 years 36.0 years
Median Income $164,288 $54,650
Married Families 48.0% 28.0%
Poverty Level 3% 13%
Unemployment Rate 3.2 4.6

Population Comparison: Severna park vs Schenectady

  • The population in Schenectady is higher at 68,809, compared to 40,452 in Severna park.
  • Residents in Severna park have a higher median age of 41.5 years compared to 36.0 years in Schenectady.
  • Severna park has a higher median income of $164,288 compared to $54,650 in Schenectady.
  • A higher percentage of married families is found in Severna park at 48.0% compared to 28.0% in Schenectady.
  • The poverty level is higher in Schenectady at 13%, compared to 3% in Severna park.
  • Schenectady has a higher unemployment rate at 4.6% compared to 3.2% in Severna park.

Demographics

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

Demographic Severna park Schenectady
Black 3 20
White 86 47
Asian 3 7
Hispanic 3 12
Two or More Races 5 13
American Indian Data is updating 1

Demographics Comparison: Severna park vs Schenectady

  • In Schenectady, the percentage of Black residents is higher at 20% compared to 3% in Severna park.
  • Severna park has a higher percentage of White residents at 86% compared to 47% in Schenectady.
  • In Schenectady, the Asian population stands at 7%, greater than 3% in Severna park.
  • Schenectady has a higher percentage of Hispanic residents at 12%, compared to 3% in Severna park.
  • The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 5% in Severna park.
  • In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Severna park.

Health Statistics

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

Health Metric Severna park Schenectady
Mental Health Not Good 13.1% 17.4%
Physical Health Not Good 7.3% 12.5%
Depression 19.9% 24.0%
Smoking 9.0% 22.7%
Binge Drinking 18.4% 16.2%
Obesity 31.9% 39.6%
Disability Percentage 8.0% 15.0%

Health Statistics Comparison: Severna park vs Schenectady

  • In Schenectady, a higher percentage report poor mental health at 17.4% compared to 13.1% in Severna park.
  • Higher depression rates are seen in Schenectady at 24.0% versus 19.9% in Severna park.
  • Schenectady has a higher smoking rate at 22.7% compared to 9.0% in Severna park.
  • Binge drinking is more common in Severna park at 18.4% compared to 16.2% in Schenectady.
  • Schenectady has higher obesity rates at 39.6% compared to 31.9% in Severna park.
  • There is a higher percentage of disabled individuals in Schenectady at 15.0% 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 Schenectady
No Schooling 0.4% (145) 1.7% (1,194)
High School Diploma 10.9% (4,392) 15.3% (10,540)
Less than High School 4.3% (1,731) 14.7% (10,146)
Bachelor's Degree and Higher 38.1% (15,411) 15.0% (10,303)

Education Levels Comparison: Severna park vs Schenectady

  • In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in Severna park.
  • In Schenectady, the rate of residents with high school diplomas is higher at 15.3% compared to 10.9% in Severna park.
  • The percentage of residents with less than a high school education is higher in Schenectady at 14.7%, 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 15.0% in Schenectady.

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.