Demographics details for Santa barbara, CA vs Mount vernon, KY

Population Overview

Compare main population characteristics in Santa barbara, CA vs Mount vernon, KY.

Data Santa barbara Mount vernon
Population 87,533 2,472
Median Age 39.6 years 45.4 years
Median Income $98,346 $34,550
Married Families 36.0% 36.0%
Poverty Level 14% 15%
Unemployment Rate 3.4 4.2

Population Comparison: Santa barbara vs Mount vernon

  • In Santa barbara, the population is higher at 87,533, compared to 2,472 in Mount vernon.
  • The median age in Mount vernon is higher at 45.4 years, compared to 39.6 years in Santa barbara.
  • Santa barbara has a higher median income of $98,346 compared to $34,550 in Mount vernon.
  • The percentage of married families is the same in both Santa barbara and Mount vernon at 36.0%.
  • The poverty level is higher in Mount vernon at 15%, compared to 14% in Santa barbara.
  • Mount vernon has a higher unemployment rate at 4.2% compared to 3.4% in Santa barbara.

Demographics

Demographics Santa barbara vs Mount vernon provide insight into the diversity of the communities to compare.

Demographic Santa barbara Mount vernon
Black 1 Data is updating
White 44 94
Asian 4 Data is updating
Hispanic 37 Data is updating
Two or More Races 13 6
American Indian 1 Data is updating

Demographics Comparison: Santa barbara vs Mount vernon

  • A higher percentage of Black residents are in Santa barbara at 1% compared to 0% in Mount vernon.
  • The percentage of White residents is higher in Mount vernon at 94% compared to 44% in Santa barbara.
  • The Asian population is larger in Santa barbara at 4% compared to 0% in Mount vernon.
  • The Hispanic community is larger in Santa barbara at 37% compared to 0% in Mount vernon.
  • More residents identify as two or more races in Santa barbara at 13% compared to 6% in Mount vernon.
  • A greater percentage of American Indian residents live in Santa barbara at 1% compared to 0% in Mount vernon.

Health Statistics

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

Health Metric Santa barbara Mount vernon
Mental Health Not Good 14.8% 21.3%
Physical Health Not Good 10.1% 16.3%
Depression 19.2% 30.7%
Smoking 10.8% 26.1%
Binge Drinking 16.9% 14.3%
Obesity 28.5% 43.2%
Disability Percentage 10.0% 23.0%

Health Statistics Comparison: Santa barbara vs Mount vernon

  • In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 14.8% in Santa barbara.
  • Higher depression rates are seen in Mount vernon at 30.7% versus 19.2% in Santa barbara.
  • Mount vernon has a higher smoking rate at 26.1% compared to 10.8% in Santa barbara.
  • Binge drinking is more common in Santa barbara at 16.9% compared to 14.3% in Mount vernon.
  • Mount vernon has higher obesity rates at 43.2% compared to 28.5% in Santa barbara.
  • There is a higher percentage of disabled individuals in Mount vernon at 23.0% compared to 10.0% in Santa barbara.

Education Levels

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

Education Level Santa barbara Mount vernon
No Schooling 1.5% (1,334) 0.5% (12)
High School Diploma 7.5% (6,587) 17.4% (431)
Less than High School 16.0% (13,982) 32.8% (810)
Bachelor's Degree and Higher 36.6% (32,079) 7.4% (183)

Education Levels Comparison: Santa barbara vs Mount vernon

  • A higher percentage of residents in Santa barbara have no formal schooling at 1.5% compared to 0.5% in Mount vernon.
  • In Mount vernon, the rate of residents with high school diplomas is higher at 17.4% compared to 7.5% in Santa barbara.
  • The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, compared to 16.0% in Santa barbara.
  • A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 7.4% in Mount vernon.

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.