Demographics details for Haltom city, TX vs Winona, MS
Population Overview
Compare main population characteristics in Haltom city, TX vs Winona, MS.
| Data | Haltom city | Winona |
|---|---|---|
| Population | 45,525 | 4,159 |
| Median Age | 34.6 years | 33.7 years |
| Median Income | $57,649 | $26,250 |
| Married Families | 35.0% | 21.0% |
| Poverty Level | 12% | 24% |
| Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Haltom city vs Winona
- In Haltom city, the population is higher at 45,525, compared to 4,159 in Winona.
- Residents in Haltom city have a higher median age of 34.6 years compared to 33.7 years in Winona.
- Haltom city has a higher median income of $57,649 compared to $26,250 in Winona.
- A higher percentage of married families is found in Haltom city at 35.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 12% in Haltom city.
- The unemployment rate in Haltom city is higher at 4.2%, compared to 3.6% in Winona.
Demographics
Demographics Haltom city vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Haltom city | Winona |
|---|---|---|
| Black | 6 | 62 |
| White | 28 | 38 |
| Asian | 10 | Data is updating |
| Hispanic | 45 | Data is updating |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Haltom city vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 6% in Haltom city.
- The percentage of White residents is higher in Winona at 38% compared to 28% in Haltom city.
- The Asian population is larger in Haltom city at 10% compared to 0% in Winona.
- The Hispanic community is larger in Haltom city at 45% compared to 0% in Winona.
- More residents identify as two or more races in Haltom city at 10% compared to 0% in Winona.
- A greater percentage of American Indian residents live in Haltom city at 1% compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Haltom city | Winona |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.3% |
| Physical Health Not Good | 13.6% | 15.0% |
| Depression | 23.5% | 22.3% |
| Smoking | 19.0% | 24.8% |
| Binge Drinking | 16.1% | 11.8% |
| Obesity | 36.0% | 46.4% |
| Disability Percentage | 11.0% | 25.0% |
Health Statistics Comparison: Haltom city vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 17.9% in Haltom city.
- Depression is more prevalent in Haltom city at 23.5% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 19.0% in Haltom city.
- Binge drinking is more common in Haltom city at 16.1% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 36.0% in Haltom city.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 11.0% in Haltom city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Haltom city | Winona |
|---|---|---|
| No Schooling | 1.8% (839) | 2.1% (87) |
| High School Diploma | 20.5% (9,350) | 11.4% (473) |
| Less than High School | 29.5% (13,443) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 7.9% (3,583) | 9.3% (388) |
Education Levels Comparison: Haltom city vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 1.8% in Haltom city.
- A higher percentage of residents in Haltom city hold a high school diploma at 20.5% compared to 11.4% in Winona.
- More residents in Haltom city have less than a high school education at 29.5% compared to 28.5% in Winona.
- In Winona, a larger share of residents have a bachelor's degree or higher at 9.3% compared to 7.9% in Haltom city.
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.