Demographics details for Independence, MO vs Union city, CA
Population Overview
Compare main population characteristics in Independence, MO vs Union city, CA.
Data | Independence | Union city |
---|---|---|
Population | 121,202 | 67,039 |
Median Age | 39.5 years | 41.3 years |
Median Income | $57,415 | $138,013 |
Married Families | 35.0% | 50.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.6 | 4.7 |
Population Comparison: Independence vs Union city
- In Independence, the population is higher at 121,202, compared to 67,039 in Union city.
- The median age in Union city is higher at 41.3 years, compared to 39.5 years in Independence.
- Union city has a higher median income of $138,013, compared to $57,415 in Independence.
- In Union city, the percentage of married families is higher at 50.0%, compared to 35.0% in Independence.
- Independence has a higher poverty level at 10% compared to 9% in Union city.
- Union city has a higher unemployment rate at 4.7% compared to 4.6% in Independence.
Demographics
Demographics Independence vs Union city provide insight into the diversity of the communities to compare.
Demographic | Independence | Union city |
---|---|---|
Black | 11 | 5 |
White | 71 | 6 |
Asian | 1 | 58 |
Hispanic | 10 | 21 |
Two or More Races | 7 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Independence vs Union city
- A higher percentage of Black residents are in Independence at 11% compared to 5% in Union city.
- Independence has a higher percentage of White residents at 71% compared to 6% in Union city.
- In Union city, the Asian population stands at 58%, greater than 1% in Independence.
- Union city has a higher percentage of Hispanic residents at 21%, compared to 10% in Independence.
- The percentage of residents identifying as two or more races is higher in Union city at 9%, compared to 7% in Independence.
- In Union city, the percentage of American Indian residents is higher at 1%, compared to 0% in Independence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Independence | Union city |
---|---|---|
Mental Health Not Good | 19.7% | 12.8% |
Physical Health Not Good | 12.9% | 8.0% |
Depression | 24.2% | 13.9% |
Smoking | 20.8% | 8.6% |
Binge Drinking | 20.2% | 13.7% |
Obesity | 38.1% | 21.7% |
Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Independence vs Union city
- More residents in Independence report poor mental health at 19.7% compared to 12.8% in Union city.
- Depression is more prevalent in Independence at 24.2% compared to 13.9% in Union city.
- Smoking is more prevalent in Independence at 20.8% compared to 8.6% in Union city.
- Binge drinking is more common in Independence at 20.2% compared to 13.7% in Union city.
- Obesity rates are higher in Independence at 38.1% compared to 21.7% in Union city.
- Disability percentages are higher in Independence at 15.0% compared to 9.0% in Union city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Independence | Union city |
---|---|---|
No Schooling | 0.8% (1,000) | 2.7% (1,812) |
High School Diploma | 22.5% (27,271) | 14.2% (9,499) |
Less than High School | 13.3% (16,096) | 15.3% (10,264) |
Bachelor's Degree and Higher | 13.6% (16,518) | 34.7% (23,285) |
Education Levels Comparison: Independence vs Union city
- In Union city, a larger percentage of residents lack formal schooling at 2.7% compared to 0.8% in Independence.
- A higher percentage of residents in Independence hold a high school diploma at 22.5% compared to 14.2% in Union city.
- The percentage of residents with less than a high school education is higher in Union city at 15.3%, compared to 13.3% in Independence.
- In Union city, a larger share of residents have a bachelor's degree or higher at 34.7% compared to 13.6% in Independence.
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.