Demographics details for Huntingdon, TN vs Winona, MS
Population Overview
Compare main population characteristics in Huntingdon, TN vs Winona, MS.
Data | Huntingdon | Winona |
---|---|---|
Population | 4,424 | 4,159 |
Median Age | 33.4 years | 33.7 years |
Median Income | $46,167 | $26,250 |
Married Families | 43.0% | 21.0% |
Poverty Level | 14% | 24% |
Unemployment Rate | 4.5 | 3.6 |
Population Comparison: Huntingdon vs Winona
- In Huntingdon, the population is higher at 4,424, compared to 4,159 in Winona.
- The median age in Winona is higher at 33.7 years, compared to 33.4 years in Huntingdon.
- Huntingdon has a higher median income of $46,167 compared to $26,250 in Winona.
- A higher percentage of married families is found in Huntingdon at 43.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 14% in Huntingdon.
- The unemployment rate in Huntingdon is higher at 4.5%, compared to 3.6% in Winona.
Demographics
Demographics Huntingdon vs Winona provide insight into the diversity of the communities to compare.
Demographic | Huntingdon | Winona |
---|---|---|
Black | 15 | 62 |
White | 79 | 38 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 6 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Huntingdon vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 15% in Huntingdon.
- Huntingdon has a higher percentage of White residents at 79% compared to 38% in Winona.
- Both Huntingdon and Winona have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Huntingdon and Winona at 0%.
- More residents identify as two or more races in Huntingdon at 6% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Huntingdon and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Huntingdon | Winona |
---|---|---|
Mental Health Not Good | 20.2% | 19.3% |
Physical Health Not Good | 14.3% | 15.0% |
Depression | 28.5% | 22.3% |
Smoking | 23.9% | 24.8% |
Binge Drinking | 15.1% | 11.8% |
Obesity | 37.8% | 46.4% |
Disability Percentage | 26.0% | 25.0% |
Health Statistics Comparison: Huntingdon vs Winona
- More residents in Huntingdon report poor mental health at 20.2% compared to 19.3% in Winona.
- Depression is more prevalent in Huntingdon at 28.5% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 23.9% in Huntingdon.
- Binge drinking is more common in Huntingdon at 15.1% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 37.8% in Huntingdon.
- Disability percentages are higher in Huntingdon at 26.0% compared to 25.0% in Winona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Huntingdon | Winona |
---|---|---|
No Schooling | 1.0% (44) | 2.1% (87) |
High School Diploma | 17.9% (794) | 11.4% (473) |
Less than High School | 17.5% (776) | 28.5% (1,186) |
Bachelor's Degree and Higher | 16.5% (731) | 9.3% (388) |
Education Levels Comparison: Huntingdon vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 1.0% in Huntingdon.
- A higher percentage of residents in Huntingdon hold a high school diploma at 17.9% 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 17.5% in Huntingdon.
- A higher percentage of residents in Huntingdon hold a bachelor's degree or higher at 16.5% 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.