Demographics details for Vicksburg, MS vs Coalinga, CA
Population Overview
Compare main population characteristics in Vicksburg, MS vs Coalinga, CA.
| Data | Vicksburg | Coalinga |
|---|---|---|
| Population | 20,391 | 17,024 |
| Median Age | 37.6 years | 35.0 years |
| Median Income | $45,147 | $68,976 |
| Married Families | 26.0% | 31.0% |
| Poverty Level | 24% | 15% |
| Unemployment Rate | 4.5 | 6.5 |
Population Comparison: Vicksburg vs Coalinga
- In Vicksburg, the population is higher at 20,391, compared to 17,024 in Coalinga.
- Residents in Vicksburg have a higher median age of 37.6 years compared to 35.0 years in Coalinga.
- Coalinga has a higher median income of $68,976, compared to $45,147 in Vicksburg.
- In Coalinga, the percentage of married families is higher at 31.0%, compared to 26.0% in Vicksburg.
- Vicksburg has a higher poverty level at 24% compared to 15% in Coalinga.
- Coalinga has a higher unemployment rate at 6.5% compared to 4.5% in Vicksburg.
Demographics
Demographics Vicksburg vs Coalinga provide insight into the diversity of the communities to compare.
| Demographic | Vicksburg | Coalinga |
|---|---|---|
| Black | 72 | 4 |
| White | 22 | 9 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 65 |
| Two or More Races | 3 | 18 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Vicksburg vs Coalinga
- A higher percentage of Black residents are in Vicksburg at 72% compared to 4% in Coalinga.
- Vicksburg has a higher percentage of White residents at 22% compared to 9% in Coalinga.
- In Coalinga, the Asian population stands at 2%, greater than 0% in Vicksburg.
- Coalinga has a higher percentage of Hispanic residents at 65%, compared to 3% in Vicksburg.
- The percentage of residents identifying as two or more races is higher in Coalinga at 18%, compared to 3% in Vicksburg.
- In Coalinga, the percentage of American Indian residents is higher at 2%, compared to 0% in Vicksburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vicksburg | Coalinga |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.9% |
| Physical Health Not Good | 14.4% | 13.9% |
| Depression | 20.6% | 16.4% |
| Smoking | 23.2% | 17.2% |
| Binge Drinking | 11.5% | 15.9% |
| Obesity | 46.1% | 39.1% |
| Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Vicksburg vs Coalinga
- More residents in Vicksburg report poor mental health at 17.9% compared to 16.9% in Coalinga.
- Depression is more prevalent in Vicksburg at 20.6% compared to 16.4% in Coalinga.
- Smoking is more prevalent in Vicksburg at 23.2% compared to 17.2% in Coalinga.
- More residents engage in binge drinking in Coalinga at 15.9% compared to 11.5% in Vicksburg.
- Obesity rates are higher in Vicksburg at 46.1% compared to 39.1% in Coalinga.
- Disability percentages are higher in Vicksburg at 20.0% compared to 13.0% in Coalinga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vicksburg | Coalinga |
|---|---|---|
| No Schooling | 1.0% (214) | 3.2% (537) |
| High School Diploma | 14.8% (3,028) | 13.8% (2,349) |
| Less than High School | 11.8% (2,397) | 39.2% (6,672) |
| Bachelor's Degree and Higher | 17.7% (3,605) | 8.1% (1,380) |
Education Levels Comparison: Vicksburg vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 1.0% in Vicksburg.
- A higher percentage of residents in Vicksburg hold a high school diploma at 14.8% compared to 13.8% in Coalinga.
- The percentage of residents with less than a high school education is higher in Coalinga at 39.2%, compared to 11.8% in Vicksburg.
- A higher percentage of residents in Vicksburg hold a bachelor's degree or higher at 17.7% compared to 8.1% in Coalinga.
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.