Demographics details for Severna park, MD vs North mankato, MN

Population Overview

Compare main population characteristics in Severna park, MD vs North mankato, MN.

Data Severna park North mankato
Population 40,452 14,251
Median Age 41.5 years 37.4 years
Median Income $164,288 $74,602
Married Families 48.0% 38.0%
Poverty Level 3% 9%
Unemployment Rate 3.2 3.2

Population Comparison: Severna park vs North mankato

  • In Severna park, the population is higher at 40,452, compared to 14,251 in North mankato.
  • Residents in Severna park have a higher median age of 41.5 years compared to 37.4 years in North mankato.
  • Severna park has a higher median income of $164,288 compared to $74,602 in North mankato.
  • A higher percentage of married families is found in Severna park at 48.0% compared to 38.0% in North mankato.
  • The poverty level is higher in North mankato at 9%, compared to 3% in Severna park.
  • The unemployment rate is the same in both Severna park and North mankato at 3.2%.

Demographics

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

Demographic Severna park North mankato
Black 3 2
White 86 85
Asian 3 2
Hispanic 3 4
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Severna park vs North mankato

  • A higher percentage of Black residents are in Severna park at 3% compared to 2% in North mankato.
  • Severna park has a higher percentage of White residents at 86% compared to 85% in North mankato.
  • The Asian population is larger in Severna park at 3% compared to 2% in North mankato.
  • North mankato has a higher percentage of Hispanic residents at 4%, compared to 3% in Severna park.
  • The percentage of residents identifying as two or more races is higher in North mankato at 7%, compared to 5% in Severna park.
  • The percentage of American Indian residents is the same in both Severna park and North mankato at 0%.

Health Statistics

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

Health Metric Severna park North mankato
Mental Health Not Good 13.1% 13.5%
Physical Health Not Good 7.3% 8.0%
Depression 19.9% 23.7%
Smoking 9.0% 14.3%
Binge Drinking 18.4% 21.5%
Obesity 31.9% 33.4%
Disability Percentage 8.0% 11.0%

Health Statistics Comparison: Severna park vs North mankato

  • In North mankato, a higher percentage report poor mental health at 13.5% compared to 13.1% in Severna park.
  • Higher depression rates are seen in North mankato at 23.7% versus 19.9% in Severna park.
  • North mankato has a higher smoking rate at 14.3% compared to 9.0% in Severna park.
  • More residents engage in binge drinking in North mankato at 21.5% compared to 18.4% in Severna park.
  • North mankato has higher obesity rates at 33.4% compared to 31.9% in Severna park.
  • There is a higher percentage of disabled individuals in North mankato at 11.0% 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 North mankato
No Schooling 0.4% (145) 0.1% (14)
High School Diploma 10.9% (4,392) 12.6% (1,794)
Less than High School 4.3% (1,731) 2.8% (405)
Bachelor's Degree and Higher 38.1% (15,411) 28.8% (4,103)

Education Levels Comparison: Severna park vs North mankato

  • A higher percentage of residents in Severna park have no formal schooling at 0.4% compared to 0.1% in North mankato.
  • In North mankato, the rate of residents with high school diplomas is higher at 12.6% compared to 10.9% in Severna park.
  • More residents in Severna park have less than a high school education at 4.3% compared to 2.8% in North mankato.
  • A higher percentage of residents in Severna park hold a bachelor's degree or higher at 38.1% compared to 28.8% in North mankato.

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.