Demographics details for Columbus, TX vs Brownville, NE
Population Overview
Compare main population characteristics in Columbus, TX vs Brownville, NE.
| Data | Columbus | Brownville |
|---|---|---|
| Population | 3,714 | 142 |
| Median Age | 47.0 years | 52.3 years |
| Median Income | $56,250 | $105,625 |
| Married Families | 41.0% | 39.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 5.0 | 2.5 |
Population Comparison: Columbus vs Brownville
- In Columbus, the population is higher at 3,714, compared to 142 in Brownville.
- The median age in Brownville is higher at 52.3 years, compared to 47.0 years in Columbus.
- Brownville has a higher median income of $105,625, compared to $56,250 in Columbus.
- A higher percentage of married families is found in Columbus at 41.0% compared to 39.0% in Brownville.
- Columbus has a higher poverty level at 12% compared to 0% in Brownville.
- The unemployment rate in Columbus is higher at 5.0%, compared to 2.5% in Brownville.
Demographics
Demographics Columbus vs Brownville provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Brownville |
|---|---|---|
| Black | 16 | Data is updating |
| White | 58 | 92 |
| Asian | 1 | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Columbus vs Brownville
- A higher percentage of Black residents are in Columbus at 16% compared to 0% in Brownville.
- The percentage of White residents is higher in Brownville at 92% compared to 58% in Columbus.
- The Asian population is larger in Columbus at 1% compared to 0% in Brownville.
- The Hispanic community is larger in Columbus at 20% compared to 0% in Brownville.
- The percentage of residents identifying as two or more races is higher in Brownville at 6%, compared to 5% in Columbus.
- In Brownville, the percentage of American Indian residents is higher at 2%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Brownville |
|---|---|---|
| Mental Health Not Good | 16.4% | 13.6% |
| Physical Health Not Good | 11.0% | 9.4% |
| Depression | 21.8% | 17.1% |
| Smoking | 15.6% | 16.0% |
| Binge Drinking | 18.5% | 22.2% |
| Obesity | 36.4% | 41.6% |
| Disability Percentage | 10.0% | 30.0% |
Health Statistics Comparison: Columbus vs Brownville
- More residents in Columbus report poor mental health at 16.4% compared to 13.6% in Brownville.
- Depression is more prevalent in Columbus at 21.8% compared to 17.1% in Brownville.
- Brownville has a higher smoking rate at 16.0% compared to 15.6% in Columbus.
- More residents engage in binge drinking in Brownville at 22.2% compared to 18.5% in Columbus.
- Brownville has higher obesity rates at 41.6% compared to 36.4% in Columbus.
- There is a higher percentage of disabled individuals in Brownville at 30.0% compared to 10.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Brownville |
|---|---|---|
| No Schooling | 2.3% (87) | 0.7% (1) |
| High School Diploma | 25.1% (934) | 16.2% (23) |
| Less than High School | 18.8% (699) | 2.8% (4) |
| Bachelor's Degree and Higher | 19.1% (710) | 22.5% (32) |
Education Levels Comparison: Columbus vs Brownville
- A higher percentage of residents in Columbus have no formal schooling at 2.3% compared to 0.7% in Brownville.
- A higher percentage of residents in Columbus hold a high school diploma at 25.1% compared to 16.2% in Brownville.
- More residents in Columbus have less than a high school education at 18.8% compared to 2.8% in Brownville.
- In Brownville, a larger share of residents have a bachelor's degree or higher at 22.5% compared to 19.1% in Columbus.
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.