Demographics details for Princeton, MO vs Fairfield, CA
Population Overview
Compare main population characteristics in Princeton, MO vs Fairfield, CA.
Data | Princeton | Fairfield |
---|---|---|
Population | 977 | 119,338 |
Median Age | 39.3 years | 35.8 years |
Median Income | $45,764 | $98,857 |
Married Families | 33.0% | 39.0% |
Poverty Level | 14% | 12% |
Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Princeton vs Fairfield
- The population in Fairfield is higher at 119,338, compared to 977 in Princeton.
- Residents in Princeton have a higher median age of 39.3 years compared to 35.8 years in Fairfield.
- Fairfield has a higher median income of $98,857, compared to $45,764 in Princeton.
- In Fairfield, the percentage of married families is higher at 39.0%, compared to 33.0% in Princeton.
- Princeton has a higher poverty level at 14% compared to 12% in Fairfield.
- Fairfield has a higher unemployment rate at 5.1% compared to 3.5% in Princeton.
Demographics
Demographics Princeton vs Fairfield provide insight into the diversity of the communities to compare.
Demographic | Princeton | Fairfield |
---|---|---|
Black | 1 | 15 |
White | 82 | 23 |
Asian | Data is updating | 18 |
Hispanic | 9 | 30 |
Two or More Races | 6 | 14 |
American Indian | 2 | Data is updating |
Demographics Comparison: Princeton vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 15% compared to 1% in Princeton.
- Princeton has a higher percentage of White residents at 82% compared to 23% in Fairfield.
- In Fairfield, the Asian population stands at 18%, greater than 0% in Princeton.
- Fairfield has a higher percentage of Hispanic residents at 30%, compared to 9% in Princeton.
- The percentage of residents identifying as two or more races is higher in Fairfield at 14%, compared to 6% in Princeton.
- A greater percentage of American Indian residents live in Princeton at 2% compared to 0% in Fairfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Princeton | Fairfield |
---|---|---|
Mental Health Not Good | 18.5% | 15.8% |
Physical Health Not Good | 13.2% | 10.7% |
Depression | 25.8% | 17.7% |
Smoking | 22.5% | 11.9% |
Binge Drinking | 18.2% | 16.1% |
Obesity | 38.6% | 30.1% |
Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Princeton vs Fairfield
- More residents in Princeton report poor mental health at 18.5% compared to 15.8% in Fairfield.
- Depression is more prevalent in Princeton at 25.8% compared to 17.7% in Fairfield.
- Smoking is more prevalent in Princeton at 22.5% compared to 11.9% in Fairfield.
- Binge drinking is more common in Princeton at 18.2% compared to 16.1% in Fairfield.
- Obesity rates are higher in Princeton at 38.6% compared to 30.1% in Fairfield.
- Disability percentages are higher in Princeton at 20.0% 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 | Princeton | Fairfield |
---|---|---|
No Schooling | 0.2% (2) | 2.1% (2,515) |
High School Diploma | 29.8% (291) | 13.7% (16,358) |
Less than High School | 18.0% (176) | 14.6% (17,464) |
Bachelor's Degree and Higher | 16.9% (165) | 18.3% (21,856) |
Education Levels Comparison: Princeton vs Fairfield
- In Fairfield, a larger percentage of residents lack formal schooling at 2.1% compared to 0.2% in Princeton.
- A higher percentage of residents in Princeton hold a high school diploma at 29.8% compared to 13.7% in Fairfield.
- More residents in Princeton have less than a high school education at 18.0% compared to 14.6% in Fairfield.
- In Fairfield, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 16.9% in Princeton.
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.