Demographics details for Spanish fork, UT vs Bloomfield, KY

Population Overview

Compare main population characteristics in Spanish fork, UT vs Bloomfield, KY.

Data Spanish fork Bloomfield
Population 44,102 970
Median Age 27.4 years 52.4 years
Median Income $93,989 $44,922
Married Families 43.0% 49.0%
Poverty Level 6% 10%
Unemployment Rate 3.8 4.5

Population Comparison: Spanish fork vs Bloomfield

  • In Spanish fork, the population is higher at 44,102, compared to 970 in Bloomfield.
  • The median age in Bloomfield is higher at 52.4 years, compared to 27.4 years in Spanish fork.
  • Spanish fork has a higher median income of $93,989 compared to $44,922 in Bloomfield.
  • In Bloomfield, the percentage of married families is higher at 49.0%, compared to 43.0% in Spanish fork.
  • The poverty level is higher in Bloomfield at 10%, compared to 6% in Spanish fork.
  • Bloomfield has a higher unemployment rate at 4.5% compared to 3.8% in Spanish fork.

Demographics

Demographics Spanish fork vs Bloomfield provide insight into the diversity of the communities to compare.

Demographic Spanish fork Bloomfield
Black 1 2
White 80 94
Asian Data is updating Data is updating
Hispanic 12 1
Two or More Races 7 3
American Indian Data is updating Data is updating

Demographics Comparison: Spanish fork vs Bloomfield

  • In Bloomfield, the percentage of Black residents is higher at 2% compared to 1% in Spanish fork.
  • The percentage of White residents is higher in Bloomfield at 94% compared to 80% in Spanish fork.
  • Both Spanish fork and Bloomfield have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Spanish fork at 12% compared to 1% in Bloomfield.
  • More residents identify as two or more races in Spanish fork at 7% compared to 3% in Bloomfield.
  • The percentage of American Indian residents is the same in both Spanish fork and Bloomfield at 0%.

Health Statistics

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

Health Metric Spanish fork Bloomfield
Mental Health Not Good 15.0% 19.3%
Physical Health Not Good 10.8% 14.0%
Depression 23.8% 27.4%
Smoking 7.7% 22.2%
Binge Drinking 8.3% 15.6%
Obesity 31.0% 38.5%
Disability Percentage 8.0% 29.0%

Health Statistics Comparison: Spanish fork vs Bloomfield

  • In Bloomfield, a higher percentage report poor mental health at 19.3% compared to 15.0% in Spanish fork.
  • Higher depression rates are seen in Bloomfield at 27.4% versus 23.8% in Spanish fork.
  • Bloomfield has a higher smoking rate at 22.2% compared to 7.7% in Spanish fork.
  • More residents engage in binge drinking in Bloomfield at 15.6% compared to 8.3% in Spanish fork.
  • Bloomfield has higher obesity rates at 38.5% compared to 31.0% in Spanish fork.
  • There is a higher percentage of disabled individuals in Bloomfield at 29.0% compared to 8.0% in Spanish fork.

Education Levels

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

Education Level Spanish fork Bloomfield
No Schooling 0.4% (175) 0.5% (5)
High School Diploma 9.1% (4,010) 19.7% (191)
Less than High School 5.9% (2,583) 14.2% (138)
Bachelor's Degree and Higher 19.4% (8,546) 19.3% (187)

Education Levels Comparison: Spanish fork vs Bloomfield

  • In Bloomfield, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Spanish fork.
  • In Bloomfield, the rate of residents with high school diplomas is higher at 19.7% compared to 9.1% in Spanish fork.
  • The percentage of residents with less than a high school education is higher in Bloomfield at 14.2%, compared to 5.9% in Spanish fork.
  • A higher percentage of residents in Spanish fork hold a bachelor's degree or higher at 19.4% compared to 19.3% in Bloomfield.

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.