Demographics details for West covina, CA vs Franklin, IN
Population Overview
Compare main population characteristics in West covina, CA vs Franklin, IN.
| Data | West covina | Franklin |
|---|---|---|
| Population | 105,013 | 25,728 |
| Median Age | 39.8 years | 34.4 years |
| Median Income | $96,219 | $72,344 |
| Married Families | 39.0% | 38.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 5.6 | 4.1 |
Population Comparison: West covina vs Franklin
- In West covina, the population is higher at 105,013, compared to 25,728 in Franklin.
- Residents in West covina have a higher median age of 39.8 years compared to 34.4 years in Franklin.
- West covina has a higher median income of $96,219 compared to $72,344 in Franklin.
- A higher percentage of married families is found in West covina at 39.0% compared to 38.0% in Franklin.
- West covina has a higher poverty level at 13% compared to 9% in Franklin.
- The unemployment rate in West covina is higher at 5.6%, compared to 4.1% in Franklin.
Demographics
Demographics West covina vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | West covina | Franklin |
|---|---|---|
| Black | 4 | 4 |
| White | -5 | 87 |
| Asian | 30 | 1 |
| Hispanic | 55 | 3 |
| Two or More Races | 15 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: West covina vs Franklin
- The percentage of Black residents is the same in both West covina and Franklin at 4%.
- The percentage of White residents is higher in Franklin at 87% compared to -5% in West covina.
- The Asian population is larger in West covina at 30% compared to 1% in Franklin.
- The Hispanic community is larger in West covina at 55% compared to 3% in Franklin.
- More residents identify as two or more races in West covina at 15% compared to 5% in Franklin.
- A greater percentage of American Indian residents live in West covina at 1% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West covina | Franklin |
|---|---|---|
| Mental Health Not Good | 13.7% | 17.7% |
| Physical Health Not Good | 9.9% | 11.4% |
| Depression | 13.7% | 28.9% |
| Smoking | 9.3% | 19.2% |
| Binge Drinking | 14.4% | 16.9% |
| Obesity | 25.8% | 41.6% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: West covina vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 13.7% in West covina.
- Higher depression rates are seen in Franklin at 28.9% versus 13.7% in West covina.
- Franklin has a higher smoking rate at 19.2% compared to 9.3% in West covina.
- More residents engage in binge drinking in Franklin at 16.9% compared to 14.4% in West covina.
- Franklin has higher obesity rates at 41.6% compared to 25.8% in West covina.
- Disability percentages are the same in both West covina and Franklin at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West covina | Franklin |
|---|---|---|
| No Schooling | 2.6% (2,712) | 0.6% (148) |
| High School Diploma | 18.1% (19,047) | 19.1% (4,910) |
| Less than High School | 17.0% (17,801) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 21.8% (22,904) | 13.4% (3,460) |
Education Levels Comparison: West covina vs Franklin
- A higher percentage of residents in West covina have no formal schooling at 2.6% compared to 0.6% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 18.1% in West covina.
- More residents in West covina have less than a high school education at 17.0% compared to 8.9% in Franklin.
- A higher percentage of residents in West covina hold a bachelor's degree or higher at 21.8% compared to 13.4% in Franklin.
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.