Demographics details for Fairfield, CT vs Higginsville, MO

Population Overview

Compare main population characteristics in Fairfield, CT vs Higginsville, MO.

Data Fairfield Higginsville
Population 62,105 4,755
Median Age 42.0 years 40.3 years
Median Income $102,000 $76,731
Married Families Data is updating 36.0%
Poverty Level 5% 8%
Unemployment Rate 2.9 3.4

Population Comparison: Fairfield vs Higginsville

  • In Fairfield, the population is higher at 62,105, compared to 4,755 in Higginsville.
  • Residents in Fairfield have a higher median age of 42.0 years compared to 40.3 years in Higginsville.
  • Fairfield has a higher median income of $102,000 compared to $76,731 in Higginsville.
  • In Higginsville, the percentage of married families is higher at 36.0%, compared to 0.0% in Fairfield.
  • The poverty level is higher in Higginsville at 8%, compared to 5% in Fairfield.
  • Higginsville has a higher unemployment rate at 3.4% compared to 2.9% in Fairfield.

Demographics

Demographics Fairfield vs Higginsville provide insight into the diversity of the communities to compare.

Demographic Fairfield Higginsville
Black 5 8
White 80 86
Asian 7 Data is updating
Hispanic 8 3
Two or More Races Data is updating 3
American Indian Data is updating Data is updating

Demographics Comparison: Fairfield vs Higginsville

  • In Higginsville, the percentage of Black residents is higher at 8% compared to 5% in Fairfield.
  • The percentage of White residents is higher in Higginsville at 86% compared to 80% in Fairfield.
  • The Asian population is larger in Fairfield at 7% compared to 0% in Higginsville.
  • The Hispanic community is larger in Fairfield at 8% compared to 3% in Higginsville.
  • The percentage of residents identifying as two or more races is higher in Higginsville at 3%, compared to 0% in Fairfield.
  • The percentage of American Indian residents is the same in both Fairfield and Higginsville at 0%.

Health Statistics

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

Health Metric Fairfield Higginsville
Mental Health Not Good Data is updating% 17.2%
Physical Health Not Good Data is updating% 12.2%
Depression Data is updating% 23.9%
Smoking Data is updating% 20.8%
Binge Drinking Data is updating% 19.4%
Obesity Data is updating% 40.6%
Disability Percentage Data is updating% 24.0%

Health Statistics Comparison: Fairfield vs Higginsville

  • In Higginsville, a higher percentage report poor mental health at 17.2% compared to 0.0% in Fairfield.
  • Higher depression rates are seen in Higginsville at 23.9% versus 0.0% in Fairfield.
  • Higginsville has a higher smoking rate at 20.8% compared to 0.0% in Fairfield.
  • More residents engage in binge drinking in Higginsville at 19.4% compared to 0.0% in Fairfield.
  • Higginsville has higher obesity rates at 40.6% compared to 0.0% in Fairfield.
  • There is a higher percentage of disabled individuals in Higginsville at 24.0% compared to 0.0% in Fairfield.

Education Levels

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

Education Level Fairfield Higginsville
No Schooling 0.0% (Data is updating) 2.3% (109)
High School Diploma 0.0% (Data is updating) 26.1% (1,241)
Less than High School 0.0% (Data is updating) 15.3% (729)
Bachelor's Degree and Higher 0.0% (Data is updating) 20.8% (991)

Education Levels Comparison: Fairfield vs Higginsville

  • In Higginsville, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Fairfield.
  • In Higginsville, the rate of residents with high school diplomas is higher at 26.1% compared to 0.0% in Fairfield.
  • The percentage of residents with less than a high school education is higher in Higginsville at 15.3%, compared to 0.0% in Fairfield.
  • In Higginsville, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 0.0% in Fairfield.

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.