Demographics details for Severna park, MD vs Broken bow, NE

Population Overview

Compare main population characteristics in Severna park, MD vs Broken bow, NE.

Data Severna park Broken bow
Population 40,452 3,474
Median Age 41.5 years 41.4 years
Median Income $164,288 $49,425
Married Families 48.0% 40.0%
Poverty Level 3% 11%
Unemployment Rate 3.2 2.5

Population Comparison: Severna park vs Broken bow

  • In Severna park, the population is higher at 40,452, compared to 3,474 in Broken bow.
  • Residents in Severna park have a higher median age of 41.5 years compared to 41.4 years in Broken bow.
  • Severna park has a higher median income of $164,288 compared to $49,425 in Broken bow.
  • A higher percentage of married families is found in Severna park at 48.0% compared to 40.0% in Broken bow.
  • The poverty level is higher in Broken bow at 11%, compared to 3% in Severna park.
  • The unemployment rate in Severna park is higher at 3.2%, compared to 2.5% in Broken bow.

Demographics

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

Demographic Severna park Broken bow
Black 3 2
White 86 88
Asian 3 Data is updating
Hispanic 3 6
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: Severna park vs Broken bow

  • A higher percentage of Black residents are in Severna park at 3% compared to 2% in Broken bow.
  • The percentage of White residents is higher in Broken bow at 88% compared to 86% in Severna park.
  • The Asian population is larger in Severna park at 3% compared to 0% in Broken bow.
  • Broken bow has a higher percentage of Hispanic residents at 6%, compared to 3% in Severna park.
  • More residents identify as two or more races in Severna park at 5% compared to 4% in Broken bow.
  • The percentage of American Indian residents is the same in both Severna park and Broken bow at 0%.

Health Statistics

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

Health Metric Severna park Broken bow
Mental Health Not Good 13.1% 14.2%
Physical Health Not Good 7.3% 10.0%
Depression 19.9% 17.1%
Smoking 9.0% 16.3%
Binge Drinking 18.4% 20.7%
Obesity 31.9% 38.2%
Disability Percentage 8.0% 19.0%

Health Statistics Comparison: Severna park vs Broken bow

  • In Broken bow, a higher percentage report poor mental health at 14.2% compared to 13.1% in Severna park.
  • Depression is more prevalent in Severna park at 19.9% compared to 17.1% in Broken bow.
  • Broken bow has a higher smoking rate at 16.3% compared to 9.0% in Severna park.
  • More residents engage in binge drinking in Broken bow at 20.7% compared to 18.4% in Severna park.
  • Broken bow has higher obesity rates at 38.2% compared to 31.9% in Severna park.
  • There is a higher percentage of disabled individuals in Broken bow at 19.0% 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 Broken bow
No Schooling 0.4% (145) 1.2% (42)
High School Diploma 10.9% (4,392) 19.8% (689)
Less than High School 4.3% (1,731) 7.3% (253)
Bachelor's Degree and Higher 38.1% (15,411) 14.7% (512)

Education Levels Comparison: Severna park vs Broken bow

  • In Broken bow, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Severna park.
  • In Broken bow, the rate of residents with high school diplomas is higher at 19.8% compared to 10.9% in Severna park.
  • The percentage of residents with less than a high school education is higher in Broken bow at 7.3%, 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 14.7% in Broken bow.

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.