Demographics details for Columbus, TX vs Mccurtain, OK
Population Overview
Compare main population characteristics in Columbus, TX vs Mccurtain, OK.
| Data | Columbus | Mccurtain |
|---|---|---|
| Population | 3,714 | 30,931 |
| Median Age | 47.0 years | 38.2 years |
| Median Income | $56,250 | $47,046 |
| Married Families | 41.0% | 37.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 5.0 | 4.6 |
Population Comparison: Columbus vs Mccurtain
- The population in Mccurtain is higher at 30,931, compared to 3,714 in Columbus.
- Residents in Columbus have a higher median age of 47.0 years compared to 38.2 years in Mccurtain.
- Columbus has a higher median income of $56,250 compared to $47,046 in Mccurtain.
- A higher percentage of married families is found in Columbus at 41.0% compared to 37.0% in Mccurtain.
- The poverty level is identical in both Columbus and Mccurtain at 12%.
- The unemployment rate in Columbus is higher at 5.0%, compared to 4.6% in Mccurtain.
Demographics
Demographics Columbus vs Mccurtain provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Mccurtain |
|---|---|---|
| Black | 16 | 8 |
| White | 58 | 58 |
| Asian | 1 | 1 |
| Hispanic | 20 | 7 |
| Two or More Races | 5 | 12 |
| American Indian | Data is updating | 14 |
Demographics Comparison: Columbus vs Mccurtain
- A higher percentage of Black residents are in Columbus at 16% compared to 8% in Mccurtain.
- The percentage of White residents is the same in both Columbus and Mccurtain at 58%.
- Both Columbus and Mccurtain have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Columbus at 20% compared to 7% in Mccurtain.
- The percentage of residents identifying as two or more races is higher in Mccurtain at 12%, compared to 5% in Columbus.
- In Mccurtain, the percentage of American Indian residents is higher at 14%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Mccurtain |
|---|---|---|
| Mental Health Not Good | 16.4% | 20.9% |
| Physical Health Not Good | 11.0% | 15.2% |
| Depression | 21.8% | 26.9% |
| Smoking | 15.6% | 25.0% |
| Binge Drinking | 18.5% | 13.7% |
| Obesity | 36.4% | 46.9% |
| Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Columbus vs Mccurtain
- In Mccurtain, a higher percentage report poor mental health at 20.9% compared to 16.4% in Columbus.
- Higher depression rates are seen in Mccurtain at 26.9% versus 21.8% in Columbus.
- Mccurtain has a higher smoking rate at 25.0% compared to 15.6% in Columbus.
- Binge drinking is more common in Columbus at 18.5% compared to 13.7% in Mccurtain.
- Mccurtain has higher obesity rates at 46.9% compared to 36.4% in Columbus.
- There is a higher percentage of disabled individuals in Mccurtain at 21.0% 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 | Mccurtain |
|---|---|---|
| No Schooling | 2.3% (87) | 0.7% (209) |
| High School Diploma | 25.1% (934) | 23.5% (7,268) |
| Less than High School | 18.8% (699) | 17.2% (5,334) |
| Bachelor's Degree and Higher | 19.1% (710) | 10.3% (3,200) |
Education Levels Comparison: Columbus vs Mccurtain
- A higher percentage of residents in Columbus have no formal schooling at 2.3% compared to 0.7% in Mccurtain.
- A higher percentage of residents in Columbus hold a high school diploma at 25.1% compared to 23.5% in Mccurtain.
- More residents in Columbus have less than a high school education at 18.8% compared to 17.2% in Mccurtain.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 19.1% compared to 10.3% in Mccurtain.
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.