Demographics details for Sulphur springs, TX vs Milan, OH
Population Overview
Compare main population characteristics in Sulphur springs, TX vs Milan, OH.
| Data | Sulphur springs | Milan |
|---|---|---|
| Population | 16,408 | 1,359 |
| Median Age | 39.4 years | 40.1 years |
| Median Income | $54,950 | $90,145 |
| Married Families | 39.0% | 51.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Sulphur springs vs Milan
- In Sulphur springs, the population is higher at 16,408, compared to 1,359 in Milan.
- The median age in Milan is higher at 40.1 years, compared to 39.4 years in Sulphur springs.
- Milan has a higher median income of $90,145, compared to $54,950 in Sulphur springs.
- In Milan, the percentage of married families is higher at 51.0%, compared to 39.0% in Sulphur springs.
- Sulphur springs has a higher poverty level at 15% compared to 5% in Milan.
- The unemployment rate in Sulphur springs is higher at 4.5%, compared to 3.5% in Milan.
Demographics
Demographics Sulphur springs vs Milan provide insight into the diversity of the communities to compare.
| Demographic | Sulphur springs | Milan |
|---|---|---|
| Black | 14 | 2 |
| White | 63 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 17 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sulphur springs vs Milan
- A higher percentage of Black residents are in Sulphur springs at 14% compared to 2% in Milan.
- The percentage of White residents is higher in Milan at 94% compared to 63% in Sulphur springs.
- The Asian population is larger in Sulphur springs at 1% compared to 0% in Milan.
- The Hispanic community is larger in Sulphur springs at 17% compared to 2% in Milan.
- More residents identify as two or more races in Sulphur springs at 5% compared to 2% in Milan.
- The percentage of American Indian residents is the same in both Sulphur springs and Milan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sulphur springs | Milan |
|---|---|---|
| Mental Health Not Good | 19.1% | 16.5% |
| Physical Health Not Good | 13.2% | 10.6% |
| Depression | 24.8% | 24.1% |
| Smoking | 20.1% | 19.3% |
| Binge Drinking | 17.5% | 21.0% |
| Obesity | 39.5% | 39.2% |
| Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Sulphur springs vs Milan
- More residents in Sulphur springs report poor mental health at 19.1% compared to 16.5% in Milan.
- Depression is more prevalent in Sulphur springs at 24.8% compared to 24.1% in Milan.
- Smoking is more prevalent in Sulphur springs at 20.1% compared to 19.3% in Milan.
- More residents engage in binge drinking in Milan at 21.0% compared to 17.5% in Sulphur springs.
- Obesity rates are higher in Sulphur springs at 39.5% compared to 39.2% in Milan.
- Disability percentages are higher in Sulphur springs at 15.0% compared to 13.0% in Milan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sulphur springs | Milan |
|---|---|---|
| No Schooling | 0.8% (127) | 0.0% (Data is updating) |
| High School Diploma | 18.3% (3,003) | 30.7% (417) |
| Less than High School | 16.0% (2,628) | 4.0% (54) |
| Bachelor's Degree and Higher | 13.7% (2,248) | 18.3% (249) |
Education Levels Comparison: Sulphur springs vs Milan
- A higher percentage of residents in Sulphur springs have no formal schooling at 0.8% compared to 0.0% in Milan.
- In Milan, the rate of residents with high school diplomas is higher at 30.7% compared to 18.3% in Sulphur springs.
- More residents in Sulphur springs have less than a high school education at 16.0% compared to 4.0% in Milan.
- In Milan, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 13.7% in Sulphur springs.
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.