Demographics details for Columbus, TX vs Surprise, AZ
Population Overview
Compare main population characteristics in Columbus, TX vs Surprise, AZ.
| Data | Columbus | Surprise |
|---|---|---|
| Population | 3,714 | 154,198 |
| Median Age | 47.0 years | 41.5 years |
| Median Income | $56,250 | $87,756 |
| Married Families | 41.0% | 44.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 5.0 | 3.9 |
Population Comparison: Columbus vs Surprise
- The population in Surprise is higher at 154,198, compared to 3,714 in Columbus.
- Residents in Columbus have a higher median age of 47.0 years compared to 41.5 years in Surprise.
- Surprise has a higher median income of $87,756, compared to $56,250 in Columbus.
- In Surprise, the percentage of married families is higher at 44.0%, compared to 41.0% in Columbus.
- The poverty level is higher in Surprise at 13%, compared to 12% in Columbus.
- The unemployment rate in Columbus is higher at 5.0%, compared to 3.9% in Surprise.
Demographics
Demographics Columbus vs Surprise provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Surprise |
|---|---|---|
| Black | 16 | 5 |
| White | 58 | 63 |
| Asian | 1 | 2 |
| Hispanic | 20 | 20 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbus vs Surprise
- A higher percentage of Black residents are in Columbus at 16% compared to 5% in Surprise.
- The percentage of White residents is higher in Surprise at 63% compared to 58% in Columbus.
- In Surprise, the Asian population stands at 2%, greater than 1% in Columbus.
- The percentage of Hispanic residents is the same in both Columbus and Surprise at 20%.
- The percentage of residents identifying as two or more races is higher in Surprise at 9%, compared to 5% in Columbus.
- In Surprise, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Surprise |
|---|---|---|
| Mental Health Not Good | 16.4% | 17.0% |
| Physical Health Not Good | 11.0% | 10.1% |
| Depression | 21.8% | 20.1% |
| Smoking | 15.6% | 14.4% |
| Binge Drinking | 18.5% | 18.5% |
| Obesity | 36.4% | 30.1% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Columbus vs Surprise
- In Surprise, a higher percentage report poor mental health at 17.0% compared to 16.4% in Columbus.
- Depression is more prevalent in Columbus at 21.8% compared to 20.1% in Surprise.
- Smoking is more prevalent in Columbus at 15.6% compared to 14.4% in Surprise.
- Binge drinking rates are similar in both Columbus and Surprise at 18.5%.
- Obesity rates are higher in Columbus at 36.4% compared to 30.1% in Surprise.
- There is a higher percentage of disabled individuals in Surprise at 11.0% 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 | Surprise |
|---|---|---|
| No Schooling | 2.3% (87) | 0.5% (754) |
| High School Diploma | 25.1% (934) | 13.7% (21,050) |
| Less than High School | 18.8% (699) | 7.6% (11,792) |
| Bachelor's Degree and Higher | 19.1% (710) | 19.9% (30,735) |
Education Levels Comparison: Columbus vs Surprise
- A higher percentage of residents in Columbus have no formal schooling at 2.3% compared to 0.5% in Surprise.
- A higher percentage of residents in Columbus hold a high school diploma at 25.1% compared to 13.7% in Surprise.
- More residents in Columbus have less than a high school education at 18.8% compared to 7.6% in Surprise.
- In Surprise, a larger share of residents have a bachelor's degree or higher at 19.9% 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.