Demographics details for Columbus, MS vs Tallulah, LA
Population Overview
Compare main population characteristics in Columbus, MS vs Tallulah, LA.
| Data | Columbus | Tallulah |
|---|---|---|
| Population | 23,273 | 5,946 |
| Median Age | 38.5 years | 35.1 years |
| Median Income | $38,954 | $31,070 |
| Married Families | 25.0% | 21.0% |
| Poverty Level | 19% | 25% |
| Unemployment Rate | 3.8 | 5.0 |
Population Comparison: Columbus vs Tallulah
- In Columbus, the population is higher at 23,273, compared to 5,946 in Tallulah.
- Residents in Columbus have a higher median age of 38.5 years compared to 35.1 years in Tallulah.
- Columbus has a higher median income of $38,954 compared to $31,070 in Tallulah.
- A higher percentage of married families is found in Columbus at 25.0% compared to 21.0% in Tallulah.
- The poverty level is higher in Tallulah at 25%, compared to 19% in Columbus.
- Tallulah has a higher unemployment rate at 5.0% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Tallulah provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Tallulah |
|---|---|---|
| Black | 66 | 86 |
| White | 28 | 11 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Tallulah
- In Tallulah, the percentage of Black residents is higher at 86% compared to 66% in Columbus.
- Columbus has a higher percentage of White residents at 28% compared to 11% in Tallulah.
- The Asian population is larger in Columbus at 2% compared to 0% in Tallulah.
- The Hispanic community is larger in Columbus at 2% compared to 1% in Tallulah.
- Both Columbus and Tallulah 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 Columbus and Tallulah at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Tallulah |
|---|---|---|
| Mental Health Not Good | 17.4% | 24.5% |
| Physical Health Not Good | 13.6% | 19.5% |
| Depression | 20.0% | 26.5% |
| Smoking | 21.0% | 32.8% |
| Binge Drinking | 11.8% | 12.7% |
| Obesity | 44.8% | 49.5% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Columbus vs Tallulah
- In Tallulah, a higher percentage report poor mental health at 24.5% compared to 17.4% in Columbus.
- Higher depression rates are seen in Tallulah at 26.5% versus 20.0% in Columbus.
- Tallulah has a higher smoking rate at 32.8% compared to 21.0% in Columbus.
- More residents engage in binge drinking in Tallulah at 12.7% compared to 11.8% in Columbus.
- Tallulah has higher obesity rates at 49.5% compared to 44.8% in Columbus.
- There is a higher percentage of disabled individuals in Tallulah at 20.0% 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 | Columbus | Tallulah |
|---|---|---|
| No Schooling | 1.1% (260) | 1.4% (84) |
| High School Diploma | 18.4% (4,272) | 18.8% (1,115) |
| Less than High School | 11.0% (2,559) | 15.4% (916) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 9.3% (555) |
Education Levels Comparison: Columbus vs Tallulah
- In Tallulah, a larger percentage of residents lack formal schooling at 1.4% compared to 1.1% in Columbus.
- In Tallulah, the rate of residents with high school diplomas is higher at 18.8% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Tallulah at 15.4%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% compared to 9.3% in Tallulah.
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.