Demographics details for South milwaukee, WI vs Belgrade, MT
Population Overview
Compare main population characteristics in South milwaukee, WI vs Belgrade, MT.
Data | South milwaukee | Belgrade |
---|---|---|
Population | 20,309 | 11,966 |
Median Age | 41.6 years | 33.4 years |
Median Income | $68,801 | $82,769 |
Married Families | 40.0% | 36.0% |
Poverty Level | 6% | 6% |
Unemployment Rate | 3.9 | 3.5 |
Population Comparison: South milwaukee vs Belgrade
- In South milwaukee, the population is higher at 20,309, compared to 11,966 in Belgrade.
- Residents in South milwaukee have a higher median age of 41.6 years compared to 33.4 years in Belgrade.
- Belgrade has a higher median income of $82,769, compared to $68,801 in South milwaukee.
- A higher percentage of married families is found in South milwaukee at 40.0% compared to 36.0% in Belgrade.
- The poverty level is identical in both South milwaukee and Belgrade at 6%.
- The unemployment rate in South milwaukee is higher at 3.9%, compared to 3.5% in Belgrade.
Demographics
Demographics South milwaukee vs Belgrade provide insight into the diversity of the communities to compare.
Demographic | South milwaukee | Belgrade |
---|---|---|
Black | 2 | Data is updating |
White | 76 | 93 |
Asian | 1 | 1 |
Hispanic | 12 | 2 |
Two or More Races | 7 | 3 |
American Indian | 2 | 1 |
Demographics Comparison: South milwaukee vs Belgrade
- A higher percentage of Black residents are in South milwaukee at 2% compared to 0% in Belgrade.
- The percentage of White residents is higher in Belgrade at 93% compared to 76% in South milwaukee.
- Both South milwaukee and Belgrade have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in South milwaukee at 12% compared to 2% in Belgrade.
- More residents identify as two or more races in South milwaukee at 7% compared to 3% in Belgrade.
- A greater percentage of American Indian residents live in South milwaukee at 2% compared to 1% in Belgrade.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South milwaukee | Belgrade |
---|---|---|
Mental Health Not Good | 16.4% | 14.8% |
Physical Health Not Good | 10.5% | 9.4% |
Depression | 25.2% | 23.1% |
Smoking | 18.2% | 14.1% |
Binge Drinking | 25.7% | 23.9% |
Obesity | 35.3% | 24.6% |
Disability Percentage | 15.0% | 7.0% |
Health Statistics Comparison: South milwaukee vs Belgrade
- More residents in South milwaukee report poor mental health at 16.4% compared to 14.8% in Belgrade.
- Depression is more prevalent in South milwaukee at 25.2% compared to 23.1% in Belgrade.
- Smoking is more prevalent in South milwaukee at 18.2% compared to 14.1% in Belgrade.
- Binge drinking is more common in South milwaukee at 25.7% compared to 23.9% in Belgrade.
- Obesity rates are higher in South milwaukee at 35.3% compared to 24.6% in Belgrade.
- Disability percentages are higher in South milwaukee at 15.0% 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 | South milwaukee | Belgrade |
---|---|---|
No Schooling | 0.8% (153) | 0.2% (25) |
High School Diploma | 24.0% (4,866) | 14.4% (1,727) |
Less than High School | 11.3% (2,285) | 2.5% (301) |
Bachelor's Degree and Higher | 19.5% (3,959) | 22.3% (2,670) |
Education Levels Comparison: South milwaukee vs Belgrade
- A higher percentage of residents in South milwaukee have no formal schooling at 0.8% compared to 0.2% in Belgrade.
- A higher percentage of residents in South milwaukee hold a high school diploma at 24.0% compared to 14.4% in Belgrade.
- More residents in South milwaukee have less than a high school education at 11.3% 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 19.5% in South milwaukee.
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.