Demographics details for Blue springs, MO vs Mount vernon, NY

Population Overview

Compare main population characteristics in Blue springs, MO vs Mount vernon, NY.

Data Blue springs Mount vernon
Population 59,518 71,714
Median Age 36.6 years 41.4 years
Median Income $82,965 $75,511
Married Families 42.0% 30.0%
Poverty Level 9% 13%
Unemployment Rate 3.7 4.5

Population Comparison: Blue springs vs Mount vernon

  • The population in Mount vernon is higher at 71,714, compared to 59,518 in Blue springs.
  • The median age in Mount vernon is higher at 41.4 years, compared to 36.6 years in Blue springs.
  • Blue springs has a higher median income of $82,965 compared to $75,511 in Mount vernon.
  • A higher percentage of married families is found in Blue springs at 42.0% compared to 30.0% in Mount vernon.
  • The poverty level is higher in Mount vernon at 13%, compared to 9% in Blue springs.
  • Mount vernon has a higher unemployment rate at 4.5% compared to 3.7% in Blue springs.

Demographics

Demographics Blue springs vs Mount vernon provide insight into the diversity of the communities to compare.

Demographic Blue springs Mount vernon
Black 7 63
White 79 10
Asian 1 2
Hispanic 7 17
Two or More Races 6 7
American Indian Data is updating 1

Demographics Comparison: Blue springs vs Mount vernon

  • In Mount vernon, the percentage of Black residents is higher at 63% compared to 7% in Blue springs.
  • Blue springs has a higher percentage of White residents at 79% compared to 10% in Mount vernon.
  • In Mount vernon, the Asian population stands at 2%, greater than 1% in Blue springs.
  • Mount vernon has a higher percentage of Hispanic residents at 17%, compared to 7% in Blue springs.
  • The percentage of residents identifying as two or more races is higher in Mount vernon at 7%, compared to 6% in Blue springs.
  • In Mount vernon, the percentage of American Indian residents is higher at 1%, compared to 0% in Blue springs.

Health Statistics

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

Health Metric Blue springs Mount vernon
Mental Health Not Good 17.3% 15.2%
Physical Health Not Good 10.4% 10.8%
Depression 22.8% 17.2%
Smoking 15.6% 15.7%
Binge Drinking 21.5% 14.0%
Obesity 34.7% 34.8%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: Blue springs vs Mount vernon

  • More residents in Blue springs report poor mental health at 17.3% compared to 15.2% in Mount vernon.
  • Depression is more prevalent in Blue springs at 22.8% compared to 17.2% in Mount vernon.
  • Mount vernon has a higher smoking rate at 15.7% compared to 15.6% in Blue springs.
  • Binge drinking is more common in Blue springs at 21.5% compared to 14.0% in Mount vernon.
  • Mount vernon has higher obesity rates at 34.8% compared to 34.7% in Blue springs.
  • There is a higher percentage of disabled individuals in Mount vernon at 13.0% compared to 10.0% in Blue springs.

Education Levels

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

Education Level Blue springs Mount vernon
No Schooling 0.3% (178) 1.8% (1,292)
High School Diploma 16.5% (9,835) 14.2% (10,151)
Less than High School 4.9% (2,932) 15.9% (11,387)
Bachelor's Degree and Higher 21.8% (12,992) 25.3% (18,122)

Education Levels Comparison: Blue springs vs Mount vernon

  • In Mount vernon, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Blue springs.
  • A higher percentage of residents in Blue springs hold a high school diploma at 16.5% compared to 14.2% in Mount vernon.
  • The percentage of residents with less than a high school education is higher in Mount vernon at 15.9%, compared to 4.9% in Blue springs.
  • In Mount vernon, a larger share of residents have a bachelor's degree or higher at 25.3% compared to 21.8% in Blue springs.

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.