Demographics details for Columbus, MS vs Brownsville, TX
Population Overview
Compare main population characteristics in Columbus, MS vs Brownsville, TX.
Data | Columbus | Brownsville |
---|---|---|
Population | 23,273 | 189,382 |
Median Age | 38.5 years | 30.7 years |
Median Income | $38,954 | $46,735 |
Married Families | 25.0% | 35.0% |
Poverty Level | 19% | 23% |
Unemployment Rate | 3.8 | 6.4 |
Population Comparison: Columbus vs Brownsville
- The population in Brownsville is higher at 189,382, compared to 23,273 in Columbus.
- Residents in Columbus have a higher median age of 38.5 years compared to 30.7 years in Brownsville.
- Brownsville has a higher median income of $46,735, compared to $38,954 in Columbus.
- In Brownsville, the percentage of married families is higher at 35.0%, compared to 25.0% in Columbus.
- The poverty level is higher in Brownsville at 23%, compared to 19% in Columbus.
- Brownsville has a higher unemployment rate at 6.4% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Brownsville provide insight into the diversity of the communities to compare.
Demographic | Columbus | Brownsville |
---|---|---|
Black | 66 | Data is updating |
White | 28 | -26 |
Asian | 2 | 1 |
Hispanic | 2 | 93 |
Two or More Races | 2 | 32 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Brownsville
- A higher percentage of Black residents are in Columbus at 66% compared to 0% in Brownsville.
- Columbus has a higher percentage of White residents at 28% compared to -26% in Brownsville.
- The Asian population is larger in Columbus at 2% compared to 1% in Brownsville.
- Brownsville has a higher percentage of Hispanic residents at 93%, compared to 2% in Columbus.
- The percentage of residents identifying as two or more races is higher in Brownsville at 32%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Brownsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbus | Brownsville |
---|---|---|
Mental Health Not Good | 17.4% | 17.9% |
Physical Health Not Good | 13.6% | 15.8% |
Depression | 20.0% | 19.8% |
Smoking | 21.0% | 16.7% |
Binge Drinking | 11.8% | 15.7% |
Obesity | 44.8% | 45.3% |
Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Columbus vs Brownsville
- In Brownsville, a higher percentage report poor mental health at 17.9% compared to 17.4% in Columbus.
- Depression is more prevalent in Columbus at 20.0% compared to 19.8% in Brownsville.
- Smoking is more prevalent in Columbus at 21.0% compared to 16.7% in Brownsville.
- More residents engage in binge drinking in Brownsville at 15.7% compared to 11.8% in Columbus.
- Brownsville has higher obesity rates at 45.3% compared to 44.8% in Columbus.
- Disability percentages are higher in Columbus at 12.0% compared to 10.0% in Brownsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbus | Brownsville |
---|---|---|
No Schooling | 1.1% (260) | 2.8% (5,275) |
High School Diploma | 18.4% (4,272) | 11.6% (21,963) |
Less than High School | 11.0% (2,559) | 35.5% (67,319) |
Bachelor's Degree and Higher | 17.1% (3,971) | 12.0% (22,792) |
Education Levels Comparison: Columbus vs Brownsville
- In Brownsville, a larger percentage of residents lack formal schooling at 2.8% compared to 1.1% in Columbus.
- A higher percentage of residents in Columbus hold a high school diploma at 18.4% compared to 11.6% in Brownsville.
- The percentage of residents with less than a high school education is higher in Brownsville at 35.5%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% 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.