Demographics details for Bloomington, IN vs Winona, MS
Population Overview
Compare main population characteristics in Bloomington, IN vs Winona, MS.
Data | Bloomington | Winona |
---|---|---|
Population | 79,107 | 4,159 |
Median Age | 24.4 years | 33.7 years |
Median Income | $46,543 | $26,250 |
Married Families | 23.0% | 21.0% |
Poverty Level | 18% | 24% |
Unemployment Rate | 6.2 | 3.6 |
Population Comparison: Bloomington vs Winona
- In Bloomington, the population is higher at 79,107, compared to 4,159 in Winona.
- The median age in Winona is higher at 33.7 years, compared to 24.4 years in Bloomington.
- Bloomington has a higher median income of $46,543 compared to $26,250 in Winona.
- A higher percentage of married families is found in Bloomington at 23.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 18% in Bloomington.
- The unemployment rate in Bloomington is higher at 6.2%, compared to 3.6% in Winona.
Demographics
Demographics Bloomington vs Winona provide insight into the diversity of the communities to compare.
Demographic | Bloomington | Winona |
---|---|---|
Black | 5 | 62 |
White | 75 | 38 |
Asian | 11 | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bloomington vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 5% in Bloomington.
- Bloomington has a higher percentage of White residents at 75% compared to 38% in Winona.
- The Asian population is larger in Bloomington at 11% compared to 0% in Winona.
- The Hispanic community is larger in Bloomington at 4% compared to 0% in Winona.
- More residents identify as two or more races in Bloomington at 5% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Bloomington and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bloomington | Winona |
---|---|---|
Mental Health Not Good | 17.6% | 19.3% |
Physical Health Not Good | 11.7% | 15.0% |
Depression | 26.7% | 22.3% |
Smoking | 17.0% | 24.8% |
Binge Drinking | 16.7% | 11.8% |
Obesity | 34.4% | 46.4% |
Disability Percentage | 9.0% | 25.0% |
Health Statistics Comparison: Bloomington vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 17.6% in Bloomington.
- Depression is more prevalent in Bloomington at 26.7% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 17.0% in Bloomington.
- Binge drinking is more common in Bloomington at 16.7% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 34.4% in Bloomington.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 9.0% in Bloomington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bloomington | Winona |
---|---|---|
No Schooling | 0.1% (95) | 2.1% (87) |
High School Diploma | 5.8% (4,606) | 11.4% (473) |
Less than High School | 4.2% (3,311) | 28.5% (1,186) |
Bachelor's Degree and Higher | 29.0% (22,911) | 9.3% (388) |
Education Levels Comparison: Bloomington vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.1% in Bloomington.
- In Winona, the rate of residents with high school diplomas is higher at 11.4% compared to 5.8% in Bloomington.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 4.2% in Bloomington.
- A higher percentage of residents in Bloomington hold a bachelor's degree or higher at 29.0% compared to 9.3% in Winona.
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.