Demographics details for Independence, MO vs Fairfield, CA
Population Overview
Compare main population characteristics in Independence, MO vs Fairfield, CA.
Data | Independence | Fairfield |
---|---|---|
Population | 121,202 | 119,338 |
Median Age | 39.5 years | 35.8 years |
Median Income | $57,415 | $98,857 |
Married Families | 35.0% | 39.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.6 | 5.1 |
Population Comparison: Independence vs Fairfield
- In Independence, the population is higher at 121,202, compared to 119,338 in Fairfield.
- Residents in Independence have a higher median age of 39.5 years compared to 35.8 years in Fairfield.
- Fairfield has a higher median income of $98,857, compared to $57,415 in Independence.
- In Fairfield, the percentage of married families is higher at 39.0%, compared to 35.0% in Independence.
- The poverty level is higher in Fairfield at 12%, compared to 10% in Independence.
- Fairfield has a higher unemployment rate at 5.1% compared to 4.6% in Independence.
Demographics
Demographics Independence vs Fairfield provide insight into the diversity of the communities to compare.
Demographic | Independence | Fairfield |
---|---|---|
Black | 11 | 15 |
White | 71 | 23 |
Asian | 1 | 18 |
Hispanic | 10 | 30 |
Two or More Races | 7 | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Independence vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 15% compared to 11% in Independence.
- Independence has a higher percentage of White residents at 71% compared to 23% in Fairfield.
- In Fairfield, the Asian population stands at 18%, greater than 1% in Independence.
- Fairfield has a higher percentage of Hispanic residents at 30%, compared to 10% in Independence.
- The percentage of residents identifying as two or more races is higher in Fairfield at 14%, compared to 7% in Independence.
- The percentage of American Indian residents is the same in both Independence and Fairfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Independence | Fairfield |
---|---|---|
Mental Health Not Good | 19.7% | 15.8% |
Physical Health Not Good | 12.9% | 10.7% |
Depression | 24.2% | 17.7% |
Smoking | 20.8% | 11.9% |
Binge Drinking | 20.2% | 16.1% |
Obesity | 38.1% | 30.1% |
Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Independence vs Fairfield
- More residents in Independence report poor mental health at 19.7% compared to 15.8% in Fairfield.
- Depression is more prevalent in Independence at 24.2% compared to 17.7% in Fairfield.
- Smoking is more prevalent in Independence at 20.8% compared to 11.9% in Fairfield.
- Binge drinking is more common in Independence at 20.2% compared to 16.1% in Fairfield.
- Obesity rates are higher in Independence at 38.1% compared to 30.1% in Fairfield.
- Disability percentages are higher in Independence at 15.0% compared to 12.0% in Fairfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Independence | Fairfield |
---|---|---|
No Schooling | 0.8% (1,000) | 2.1% (2,515) |
High School Diploma | 22.5% (27,271) | 13.7% (16,358) |
Less than High School | 13.3% (16,096) | 14.6% (17,464) |
Bachelor's Degree and Higher | 13.6% (16,518) | 18.3% (21,856) |
Education Levels Comparison: Independence vs Fairfield
- In Fairfield, a larger percentage of residents lack formal schooling at 2.1% compared to 0.8% in Independence.
- A higher percentage of residents in Independence hold a high school diploma at 22.5% compared to 13.7% in Fairfield.
- The percentage of residents with less than a high school education is higher in Fairfield at 14.6%, compared to 13.3% in Independence.
- In Fairfield, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 13.6% in Independence.
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.