Demographics details for Okeechobee, FL vs Manteca, CA
Population Overview
Compare main population characteristics in Okeechobee, FL vs Manteca, CA.
| Data | Okeechobee | Manteca |
|---|---|---|
| Population | 40,412 | 86,928 |
| Median Age | 40.8 years | 37.0 years |
| Median Income | $50,476 | $89,966 |
| Married Families | 38.0% | 38.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 3.7 | 5.7 |
Population Comparison: Okeechobee vs Manteca
- The population in Manteca is higher at 86,928, compared to 40,412 in Okeechobee.
- Residents in Okeechobee have a higher median age of 40.8 years compared to 37.0 years in Manteca.
- Manteca has a higher median income of $89,966, compared to $50,476 in Okeechobee.
- The percentage of married families is the same in both Okeechobee and Manteca at 38.0%.
- Okeechobee has a higher poverty level at 16% compared to 10% in Manteca.
- Manteca has a higher unemployment rate at 5.7% compared to 3.7% in Okeechobee.
Demographics
Demographics Okeechobee vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Okeechobee | Manteca |
|---|---|---|
| Black | 8 | 3 |
| White | 58 | 26 |
| Asian | 1 | 14 |
| Hispanic | 26 | 39 |
| Two or More Races | 7 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Okeechobee vs Manteca
- A higher percentage of Black residents are in Okeechobee at 8% compared to 3% in Manteca.
- Okeechobee has a higher percentage of White residents at 58% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 1% in Okeechobee.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 26% in Okeechobee.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 7% in Okeechobee.
- In Manteca, the percentage of American Indian residents is higher at 1%, compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Okeechobee | Manteca |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.6% |
| Physical Health Not Good | 13.1% | 11.8% |
| Depression | 20.1% | 18.2% |
| Smoking | 23.7% | 13.8% |
| Binge Drinking | 15.4% | 16.6% |
| Obesity | 33.9% | 34.1% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Okeechobee vs Manteca
- More residents in Okeechobee report poor mental health at 17.3% compared to 16.6% in Manteca.
- Depression is more prevalent in Okeechobee at 20.1% compared to 18.2% in Manteca.
- Smoking is more prevalent in Okeechobee at 23.7% compared to 13.8% in Manteca.
- More residents engage in binge drinking in Manteca at 16.6% compared to 15.4% in Okeechobee.
- Manteca has higher obesity rates at 34.1% compared to 33.9% in Okeechobee.
- Disability percentages are higher in Okeechobee at 15.0% 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 | Okeechobee | Manteca |
|---|---|---|
| No Schooling | 1.9% (751) | 1.7% (1,490) |
| High School Diploma | 18.6% (7,520) | 17.0% (14,775) |
| Less than High School | 26.7% (10,783) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 11.8% (4,773) | 12.4% (10,753) |
Education Levels Comparison: Okeechobee vs Manteca
- A higher percentage of residents in Okeechobee have no formal schooling at 1.9% compared to 1.7% in Manteca.
- A higher percentage of residents in Okeechobee hold a high school diploma at 18.6% compared to 17.0% in Manteca.
- More residents in Okeechobee have less than a high school education at 26.7% compared to 16.5% in Manteca.
- In Manteca, a larger share of residents have a bachelor's degree or higher at 12.4% compared to 11.8% in Okeechobee.
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.