Demographics details for Cave city, AR vs Columbus, MS
Population Overview
Compare main population characteristics in Cave city, AR vs Columbus, MS.
| Data | Cave city | Columbus |
|---|---|---|
| Population | 1,979 | 23,273 |
| Median Age | 35.7 years | 38.5 years |
| Median Income | $40,441 | $38,954 |
| Married Families | 38.0% | 25.0% |
| Poverty Level | 15% | 19% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Cave city vs Columbus
- The population in Columbus is higher at 23,273, compared to 1,979 in Cave city.
- The median age in Columbus is higher at 38.5 years, compared to 35.7 years in Cave city.
- Cave city has a higher median income of $40,441 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Cave city at 38.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 15% in Cave city.
- The unemployment rate in Cave city is higher at 4.2%, compared to 3.8% in Columbus.
Demographics
Demographics Cave city vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Cave city | Columbus |
|---|---|---|
| Black | 1 | 66 |
| White | 93 | 28 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 2 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cave city vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 1% in Cave city.
- Cave city has a higher percentage of White residents at 93% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 0% in Cave city.
- The Hispanic community is larger in Cave city at 4% compared to 2% in Columbus.
- Both Cave city and Columbus have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Cave city and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cave city | Columbus |
|---|---|---|
| Mental Health Not Good | 22.3% | 17.4% |
| Physical Health Not Good | 16.9% | 13.6% |
| Depression | 31.3% | 20.0% |
| Smoking | 27.9% | 21.0% |
| Binge Drinking | 13.9% | 11.8% |
| Obesity | 40.5% | 44.8% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Cave city vs Columbus
- More residents in Cave city report poor mental health at 22.3% compared to 17.4% in Columbus.
- Depression is more prevalent in Cave city at 31.3% compared to 20.0% in Columbus.
- Smoking is more prevalent in Cave city at 27.9% compared to 21.0% in Columbus.
- Binge drinking is more common in Cave city at 13.9% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 40.5% in Cave city.
- Disability percentages are higher in Cave city at 15.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cave city | Columbus |
|---|---|---|
| No Schooling | 1.3% (25) | 1.1% (260) |
| High School Diploma | 20.7% (409) | 18.4% (4,272) |
| Less than High School | 29.4% (582) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 6.0% (118) | 17.1% (3,971) |
Education Levels Comparison: Cave city vs Columbus
- A higher percentage of residents in Cave city have no formal schooling at 1.3% compared to 1.1% in Columbus.
- A higher percentage of residents in Cave city hold a high school diploma at 20.7% compared to 18.4% in Columbus.
- More residents in Cave city have less than a high school education at 29.4% compared to 11.0% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 6.0% in Cave city.
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.