Demographics details for Shreveport, LA vs Winona, MS
Population Overview
Compare main population characteristics in Shreveport, LA vs Winona, MS.
| Data | Shreveport | Winona |
|---|---|---|
| Population | 180,153 | 4,159 |
| Median Age | 37.1 years | 33.7 years |
| Median Income | $45,967 | $26,250 |
| Married Families | 29.0% | 21.0% |
| Poverty Level | 21% | 24% |
| Unemployment Rate | 5.0 | 3.6 |
Population Comparison: Shreveport vs Winona
- In Shreveport, the population is higher at 180,153, compared to 4,159 in Winona.
- Residents in Shreveport have a higher median age of 37.1 years compared to 33.7 years in Winona.
- Shreveport has a higher median income of $45,967 compared to $26,250 in Winona.
- A higher percentage of married families is found in Shreveport at 29.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 21% in Shreveport.
- The unemployment rate in Shreveport is higher at 5.0%, compared to 3.6% in Winona.
Demographics
Demographics Shreveport vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Shreveport | Winona |
|---|---|---|
| Black | 58 | 62 |
| White | 33 | 38 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Shreveport vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 58% in Shreveport.
- The percentage of White residents is higher in Winona at 38% compared to 33% in Shreveport.
- The Asian population is larger in Shreveport at 2% compared to 0% in Winona.
- The Hispanic community is larger in Shreveport at 3% compared to 0% in Winona.
- More residents identify as two or more races in Shreveport at 4% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Shreveport and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shreveport | Winona |
|---|---|---|
| Mental Health Not Good | 20.2% | 19.3% |
| Physical Health Not Good | 14.4% | 15.0% |
| Depression | 24.4% | 22.3% |
| Smoking | 24.3% | 24.8% |
| Binge Drinking | 16.2% | 11.8% |
| Obesity | 42.5% | 46.4% |
| Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: Shreveport vs Winona
- More residents in Shreveport report poor mental health at 20.2% compared to 19.3% in Winona.
- Depression is more prevalent in Shreveport at 24.4% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 24.3% in Shreveport.
- Binge drinking is more common in Shreveport at 16.2% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 42.5% in Shreveport.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 16.0% in Shreveport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shreveport | Winona |
|---|---|---|
| No Schooling | 1.2% (2,087) | 2.1% (87) |
| High School Diploma | 18.3% (33,032) | 11.4% (473) |
| Less than High School | 11.1% (20,070) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 18.6% (33,461) | 9.3% (388) |
Education Levels Comparison: Shreveport vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 1.2% in Shreveport.
- A higher percentage of residents in Shreveport hold a high school diploma at 18.3% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 11.1% in Shreveport.
- A higher percentage of residents in Shreveport hold a bachelor's degree or higher at 18.6% 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.