Demographics details for West covina, CA vs Okeechobee, FL
Population Overview
Compare main population characteristics in West covina, CA vs Okeechobee, FL.
Data | West covina | Okeechobee |
---|---|---|
Population | 105,013 | 40,412 |
Median Age | 39.8 years | 40.8 years |
Median Income | $96,219 | $50,476 |
Married Families | 39.0% | 38.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 5.6 | 3.7 |
Population Comparison: West covina vs Okeechobee
- In West covina, the population is higher at 105,013, compared to 40,412 in Okeechobee.
- The median age in Okeechobee is higher at 40.8 years, compared to 39.8 years in West covina.
- West covina has a higher median income of $96,219 compared to $50,476 in Okeechobee.
- A higher percentage of married families is found in West covina at 39.0% compared to 38.0% in Okeechobee.
- The poverty level is higher in Okeechobee at 16%, compared to 13% in West covina.
- The unemployment rate in West covina is higher at 5.6%, compared to 3.7% in Okeechobee.
Demographics
Demographics West covina vs Okeechobee provide insight into the diversity of the communities to compare.
Demographic | West covina | Okeechobee |
---|---|---|
Black | 4 | 8 |
White | -5 | 58 |
Asian | 30 | 1 |
Hispanic | 55 | 26 |
Two or More Races | 15 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: West covina vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 4% in West covina.
- The percentage of White residents is higher in Okeechobee at 58% compared to -5% in West covina.
- The Asian population is larger in West covina at 30% compared to 1% in Okeechobee.
- The Hispanic community is larger in West covina at 55% compared to 26% in Okeechobee.
- More residents identify as two or more races in West covina at 15% compared to 7% in Okeechobee.
- A greater percentage of American Indian residents live in West covina at 1% compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West covina | Okeechobee |
---|---|---|
Mental Health Not Good | 13.7% | 17.3% |
Physical Health Not Good | 9.9% | 13.1% |
Depression | 13.7% | 20.1% |
Smoking | 9.3% | 23.7% |
Binge Drinking | 14.4% | 15.4% |
Obesity | 25.8% | 33.9% |
Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: West covina vs Okeechobee
- In Okeechobee, a higher percentage report poor mental health at 17.3% compared to 13.7% in West covina.
- Higher depression rates are seen in Okeechobee at 20.1% versus 13.7% in West covina.
- Okeechobee has a higher smoking rate at 23.7% compared to 9.3% in West covina.
- More residents engage in binge drinking in Okeechobee at 15.4% compared to 14.4% in West covina.
- Okeechobee has higher obesity rates at 33.9% compared to 25.8% in West covina.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% compared to 12.0% in West covina.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West covina | Okeechobee |
---|---|---|
No Schooling | 2.6% (2,712) | 1.9% (751) |
High School Diploma | 18.1% (19,047) | 18.6% (7,520) |
Less than High School | 17.0% (17,801) | 26.7% (10,783) |
Bachelor's Degree and Higher | 21.8% (22,904) | 11.8% (4,773) |
Education Levels Comparison: West covina vs Okeechobee
- A higher percentage of residents in West covina have no formal schooling at 2.6% compared to 1.9% in Okeechobee.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 18.1% in West covina.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 17.0% in West covina.
- A higher percentage of residents in West covina hold a bachelor's degree or higher at 21.8% 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.