Demographics details for Fairborn, OH vs Manteca, CA
Population Overview
Compare main population characteristics in Fairborn, OH vs Manteca, CA.
| Data | Fairborn | Manteca |
|---|---|---|
| Population | 34,977 | 86,928 |
| Median Age | 35.1 years | 37.0 years |
| Median Income | $53,783 | $89,966 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 5.1 | 5.7 |
Population Comparison: Fairborn vs Manteca
- The population in Manteca is higher at 86,928, compared to 34,977 in Fairborn.
- The median age in Manteca is higher at 37.0 years, compared to 35.1 years in Fairborn.
- Manteca has a higher median income of $89,966, compared to $53,783 in Fairborn.
- In Manteca, the percentage of married families is higher at 38.0%, compared to 33.0% in Fairborn.
- The poverty level is higher in Manteca at 10%, compared to 9% in Fairborn.
- Manteca has a higher unemployment rate at 5.7% compared to 5.1% in Fairborn.
Demographics
Demographics Fairborn vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Fairborn | Manteca |
|---|---|---|
| Black | 9 | 3 |
| White | 78 | 26 |
| Asian | 1 | 14 |
| Hispanic | 4 | 39 |
| Two or More Races | 8 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Fairborn vs Manteca
- A higher percentage of Black residents are in Fairborn at 9% compared to 3% in Manteca.
- Fairborn has a higher percentage of White residents at 78% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 1% in Fairborn.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 4% in Fairborn.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 8% in Fairborn.
- In Manteca, the percentage of American Indian residents is higher at 1%, compared to 0% in Fairborn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fairborn | Manteca |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.6% |
| Physical Health Not Good | 12.4% | 11.8% |
| Depression | 23.4% | 18.2% |
| Smoking | 20.5% | 13.8% |
| Binge Drinking | 16.3% | 16.6% |
| Obesity | 39.7% | 34.1% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Fairborn vs Manteca
- More residents in Fairborn report poor mental health at 18.3% compared to 16.6% in Manteca.
- Depression is more prevalent in Fairborn at 23.4% compared to 18.2% in Manteca.
- Smoking is more prevalent in Fairborn at 20.5% compared to 13.8% in Manteca.
- More residents engage in binge drinking in Manteca at 16.6% compared to 16.3% in Fairborn.
- Obesity rates are higher in Fairborn at 39.7% compared to 34.1% in Manteca.
- Disability percentages are higher in Fairborn at 16.0% compared to 12.0% in Manteca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fairborn | Manteca |
|---|---|---|
| No Schooling | 0.3% (116) | 1.7% (1,490) |
| High School Diploma | 13.2% (4,620) | 17.0% (14,775) |
| Less than High School | 12.5% (4,382) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 19.4% (6,782) | 12.4% (10,753) |
Education Levels Comparison: Fairborn vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Fairborn.
- In Manteca, the rate of residents with high school diplomas is higher at 17.0% compared to 13.2% in Fairborn.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 12.5% in Fairborn.
- A higher percentage of residents in Fairborn hold a bachelor's degree or higher at 19.4% compared to 12.4% in Manteca.
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.