Demographics details for Tuskahoma, OK vs Fairfield, CA
Population Overview
Compare main population characteristics in Tuskahoma, OK vs Fairfield, CA.
Data | Tuskahoma | Fairfield |
---|---|---|
Population | 64 | 119,338 |
Median Age | 65.5 years | 35.8 years |
Median Income | $47,500 | $98,857 |
Married Families | 52.0% | 39.0% |
Poverty Level | 14% | 12% |
Unemployment Rate | 4.7 | 5.1 |
Population Comparison: Tuskahoma vs Fairfield
- The population in Fairfield is higher at 119,338, compared to 64 in Tuskahoma.
- Residents in Tuskahoma have a higher median age of 65.5 years compared to 35.8 years in Fairfield.
- Fairfield has a higher median income of $98,857, compared to $47,500 in Tuskahoma.
- A higher percentage of married families is found in Tuskahoma at 52.0% compared to 39.0% in Fairfield.
- Tuskahoma has a higher poverty level at 14% compared to 12% in Fairfield.
- Fairfield has a higher unemployment rate at 5.1% compared to 4.7% in Tuskahoma.
Demographics
Demographics Tuskahoma vs Fairfield provide insight into the diversity of the communities to compare.
Demographic | Tuskahoma | Fairfield |
---|---|---|
Black | Data is updating | 15 |
White | 58 | 23 |
Asian | Data is updating | 18 |
Hispanic | Data is updating | 30 |
Two or More Races | 19 | 14 |
American Indian | 23 | Data is updating |
Demographics Comparison: Tuskahoma vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 15% compared to 0% in Tuskahoma.
- Tuskahoma has a higher percentage of White residents at 58% compared to 23% in Fairfield.
- In Fairfield, the Asian population stands at 18%, greater than 0% in Tuskahoma.
- Fairfield has a higher percentage of Hispanic residents at 30%, compared to 0% in Tuskahoma.
- More residents identify as two or more races in Tuskahoma at 19% compared to 14% in Fairfield.
- A greater percentage of American Indian residents live in Tuskahoma at 23% compared to 0% in Fairfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tuskahoma | Fairfield |
---|---|---|
Mental Health Not Good | 21.9% | 15.8% |
Physical Health Not Good | 16.0% | 10.7% |
Depression | 27.9% | 17.7% |
Smoking | 28.3% | 11.9% |
Binge Drinking | 14.3% | 16.1% |
Obesity | 41.3% | 30.1% |
Disability Percentage | 47.0% | 12.0% |
Health Statistics Comparison: Tuskahoma vs Fairfield
- More residents in Tuskahoma report poor mental health at 21.9% compared to 15.8% in Fairfield.
- Depression is more prevalent in Tuskahoma at 27.9% compared to 17.7% in Fairfield.
- Smoking is more prevalent in Tuskahoma at 28.3% compared to 11.9% in Fairfield.
- More residents engage in binge drinking in Fairfield at 16.1% compared to 14.3% in Tuskahoma.
- Obesity rates are higher in Tuskahoma at 41.3% compared to 30.1% in Fairfield.
- Disability percentages are higher in Tuskahoma at 47.0% 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 | Tuskahoma | Fairfield |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.1% (2,515) |
High School Diploma | 25.0% (16) | 13.7% (16,358) |
Less than High School | 32.8% (21) | 14.6% (17,464) |
Bachelor's Degree and Higher | 26.6% (17) | 18.3% (21,856) |
Education Levels Comparison: Tuskahoma vs Fairfield
- In Fairfield, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Tuskahoma.
- A higher percentage of residents in Tuskahoma hold a high school diploma at 25.0% compared to 13.7% in Fairfield.
- More residents in Tuskahoma have less than a high school education at 32.8% compared to 14.6% in Fairfield.
- A higher percentage of residents in Tuskahoma hold a bachelor's degree or higher at 26.6% compared to 18.3% 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.