Demographics details for Dayton, TN vs Columbus, TX
Population Overview
Compare main population characteristics in Dayton, TN vs Columbus, TX.
| Data | Dayton | Columbus |
|---|---|---|
| Population | 7,347 | 3,714 |
| Median Age | 34.6 years | 47.0 years |
| Median Income | $54,511 | $56,250 |
| Married Families | 36.0% | 41.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Dayton vs Columbus
- In Dayton, the population is higher at 7,347, compared to 3,714 in Columbus.
- The median age in Columbus is higher at 47.0 years, compared to 34.6 years in Dayton.
- Columbus has a higher median income of $56,250, compared to $54,511 in Dayton.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 36.0% in Dayton.
- Dayton has a higher poverty level at 15% compared to 12% in Columbus.
- Columbus has a higher unemployment rate at 5.0% compared to 3.5% in Dayton.
Demographics
Demographics Dayton vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Columbus |
|---|---|---|
| Black | 4 | 16 |
| White | 83 | 58 |
| Asian | 2 | 1 |
| Hispanic | 6 | 20 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Columbus
- In Columbus, the percentage of Black residents is higher at 16% compared to 4% in Dayton.
- Dayton has a higher percentage of White residents at 83% compared to 58% in Columbus.
- The Asian population is larger in Dayton at 2% compared to 1% in Columbus.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 6% in Dayton.
- Both Dayton and Columbus have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Dayton and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Columbus |
|---|---|---|
| Mental Health Not Good | 22.9% | 16.4% |
| Physical Health Not Good | 17.4% | 11.0% |
| Depression | 32.0% | 21.8% |
| Smoking | 28.8% | 15.6% |
| Binge Drinking | 13.4% | 18.5% |
| Obesity | 44.2% | 36.4% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Dayton vs Columbus
- More residents in Dayton report poor mental health at 22.9% compared to 16.4% in Columbus.
- Depression is more prevalent in Dayton at 32.0% compared to 21.8% in Columbus.
- Smoking is more prevalent in Dayton at 28.8% compared to 15.6% in Columbus.
- More residents engage in binge drinking in Columbus at 18.5% compared to 13.4% in Dayton.
- Obesity rates are higher in Dayton at 44.2% compared to 36.4% in Columbus.
- Disability percentages are higher in Dayton at 20.0% 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 | Dayton | Columbus |
|---|---|---|
| No Schooling | 2.0% (145) | 2.3% (87) |
| High School Diploma | 19.8% (1,453) | 25.1% (934) |
| Less than High School | 23.6% (1,732) | 18.8% (699) |
| Bachelor's Degree and Higher | 10.7% (783) | 19.1% (710) |
Education Levels Comparison: Dayton vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 2.0% in Dayton.
- In Columbus, the rate of residents with high school diplomas is higher at 25.1% compared to 19.8% in Dayton.
- More residents in Dayton have less than a high school education at 23.6% compared to 18.8% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 10.7% in Dayton.
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.