Demographics details for Brownsville, TX vs Milford, CT
Population Overview
Compare main population characteristics in Brownsville, TX vs Milford, CT.
| Data | Brownsville | Milford |
|---|---|---|
| Population | 189,382 | 50,471 |
| Median Age | 30.7 years | 46.6 years |
| Median Income | $46,735 | $104,503 |
| Married Families | 35.0% | 45.0% |
| Poverty Level | 23% | 5% |
| Unemployment Rate | 6.4 | 4.2 |
Population Comparison: Brownsville vs Milford
- In Brownsville, the population is higher at 189,382, compared to 50,471 in Milford.
- The median age in Milford is higher at 46.6 years, compared to 30.7 years in Brownsville.
- Milford has a higher median income of $104,503, compared to $46,735 in Brownsville.
- In Milford, the percentage of married families is higher at 45.0%, compared to 35.0% in Brownsville.
- Brownsville has a higher poverty level at 23% compared to 5% in Milford.
- The unemployment rate in Brownsville is higher at 6.4%, compared to 4.2% in Milford.
Demographics
Demographics Brownsville vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Brownsville | Milford |
|---|---|---|
| Black | Data is updating | 2 |
| White | -26 | 79 |
| Asian | 1 | 5 |
| Hispanic | 93 | 8 |
| Two or More Races | 32 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Brownsville vs Milford
- In Milford, the percentage of Black residents is higher at 2% compared to 0% in Brownsville.
- The percentage of White residents is higher in Milford at 79% compared to -26% in Brownsville.
- In Milford, the Asian population stands at 5%, greater than 1% in Brownsville.
- The Hispanic community is larger in Brownsville at 93% compared to 8% in Milford.
- More residents identify as two or more races in Brownsville at 32% compared to 6% in Milford.
- The percentage of American Indian residents is the same in both Brownsville and Milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Brownsville | Milford |
|---|---|---|
| Mental Health Not Good | 17.9% | 13.2% |
| Physical Health Not Good | 15.8% | 7.9% |
| Depression | 19.8% | 20.5% |
| Smoking | 16.7% | 12.7% |
| Binge Drinking | 15.7% | 17.0% |
| Obesity | 45.3% | 27.5% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Brownsville vs Milford
- More residents in Brownsville report poor mental health at 17.9% compared to 13.2% in Milford.
- Higher depression rates are seen in Milford at 20.5% versus 19.8% in Brownsville.
- Smoking is more prevalent in Brownsville at 16.7% compared to 12.7% in Milford.
- More residents engage in binge drinking in Milford at 17.0% compared to 15.7% in Brownsville.
- Obesity rates are higher in Brownsville at 45.3% compared to 27.5% in Milford.
- Disability percentages are the same in both Brownsville and Milford at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Brownsville | Milford |
|---|---|---|
| No Schooling | 2.8% (5,275) | 0.7% (366) |
| High School Diploma | 11.6% (21,963) | 16.7% (8,431) |
| Less than High School | 35.5% (67,319) | 6.6% (3,307) |
| Bachelor's Degree and Higher | 12.0% (22,792) | 36.0% (18,184) |
Education Levels Comparison: Brownsville vs Milford
- A higher percentage of residents in Brownsville have no formal schooling at 2.8% compared to 0.7% in Milford.
- In Milford, the rate of residents with high school diplomas is higher at 16.7% compared to 11.6% in Brownsville.
- More residents in Brownsville have less than a high school education at 35.5% compared to 6.6% in Milford.
- In Milford, a larger share of residents have a bachelor's degree or higher at 36.0% compared to 12.0% in Brownsville.
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.