Demographics details for Vicksburg, MS vs Belgrade, MT
Population Overview
Compare main population characteristics in Vicksburg, MS vs Belgrade, MT.
| Data | Vicksburg | Belgrade |
|---|---|---|
| Population | 20,391 | 11,966 |
| Median Age | 37.6 years | 33.4 years |
| Median Income | $45,147 | $82,769 |
| Married Families | 26.0% | 36.0% |
| Poverty Level | 24% | 6% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Vicksburg vs Belgrade
- In Vicksburg, the population is higher at 20,391, compared to 11,966 in Belgrade.
- Residents in Vicksburg have a higher median age of 37.6 years compared to 33.4 years in Belgrade.
- Belgrade has a higher median income of $82,769, compared to $45,147 in Vicksburg.
- In Belgrade, the percentage of married families is higher at 36.0%, compared to 26.0% in Vicksburg.
- Vicksburg has a higher poverty level at 24% compared to 6% in Belgrade.
- The unemployment rate in Vicksburg is higher at 4.5%, compared to 3.5% in Belgrade.
Demographics
Demographics Vicksburg vs Belgrade provide insight into the diversity of the communities to compare.
| Demographic | Vicksburg | Belgrade |
|---|---|---|
| Black | 72 | Data is updating |
| White | 22 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 2 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Vicksburg vs Belgrade
- A higher percentage of Black residents are in Vicksburg at 72% compared to 0% in Belgrade.
- The percentage of White residents is higher in Belgrade at 93% compared to 22% in Vicksburg.
- In Belgrade, the Asian population stands at 1%, greater than 0% in Vicksburg.
- The Hispanic community is larger in Vicksburg at 3% compared to 2% in Belgrade.
- Both Vicksburg and Belgrade have the same percentage of residents identifying as two or more races at 3%.
- In Belgrade, the percentage of American Indian residents is higher at 1%, compared to 0% in Vicksburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vicksburg | Belgrade |
|---|---|---|
| Mental Health Not Good | 17.9% | 14.8% |
| Physical Health Not Good | 14.4% | 9.4% |
| Depression | 20.6% | 23.1% |
| Smoking | 23.2% | 14.1% |
| Binge Drinking | 11.5% | 23.9% |
| Obesity | 46.1% | 24.6% |
| Disability Percentage | 20.0% | 7.0% |
Health Statistics Comparison: Vicksburg vs Belgrade
- More residents in Vicksburg report poor mental health at 17.9% compared to 14.8% in Belgrade.
- Higher depression rates are seen in Belgrade at 23.1% versus 20.6% in Vicksburg.
- Smoking is more prevalent in Vicksburg at 23.2% compared to 14.1% in Belgrade.
- More residents engage in binge drinking in Belgrade at 23.9% compared to 11.5% in Vicksburg.
- Obesity rates are higher in Vicksburg at 46.1% compared to 24.6% in Belgrade.
- Disability percentages are higher in Vicksburg at 20.0% compared to 7.0% in Belgrade.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vicksburg | Belgrade |
|---|---|---|
| No Schooling | 1.0% (214) | 0.2% (25) |
| High School Diploma | 14.8% (3,028) | 14.4% (1,727) |
| Less than High School | 11.8% (2,397) | 2.5% (301) |
| Bachelor's Degree and Higher | 17.7% (3,605) | 22.3% (2,670) |
Education Levels Comparison: Vicksburg vs Belgrade
- A higher percentage of residents in Vicksburg have no formal schooling at 1.0% compared to 0.2% in Belgrade.
- A higher percentage of residents in Vicksburg hold a high school diploma at 14.8% compared to 14.4% in Belgrade.
- More residents in Vicksburg have less than a high school education at 11.8% compared to 2.5% in Belgrade.
- In Belgrade, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 17.7% in Vicksburg.
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.