Demographics details for Livingston, AL vs Columbus, MS
Population Overview
Compare main population characteristics in Livingston, AL vs Columbus, MS.
| Data | Livingston | Columbus |
|---|---|---|
| Population | 3,205 | 23,273 |
| Median Age | 21.2 years | 38.5 years |
| Median Income | $20,417 | $38,954 |
| Married Families | 19.0% | 25.0% |
| Poverty Level | 27% | 19% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Livingston vs Columbus
- The population in Columbus is higher at 23,273, compared to 3,205 in Livingston.
- The median age in Columbus is higher at 38.5 years, compared to 21.2 years in Livingston.
- Columbus has a higher median income of $38,954, compared to $20,417 in Livingston.
- In Columbus, the percentage of married families is higher at 25.0%, compared to 19.0% in Livingston.
- Livingston has a higher poverty level at 27% compared to 19% in Columbus.
- The unemployment rate in Livingston is higher at 4.2%, compared to 3.8% in Columbus.
Demographics
Demographics Livingston vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Livingston | Columbus |
|---|---|---|
| Black | 58 | 66 |
| White | 38 | 28 |
| Asian | 1 | 2 |
| Hispanic | 1 | 2 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Livingston vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 58% in Livingston.
- Livingston has a higher percentage of White residents at 38% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 1% in Livingston.
- Columbus has a higher percentage of Hispanic residents at 2%, compared to 1% in Livingston.
- Both Livingston 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 Livingston and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Livingston | Columbus |
|---|---|---|
| Mental Health Not Good | 20.4% | 17.4% |
| Physical Health Not Good | 14.7% | 13.6% |
| Depression | 22.0% | 20.0% |
| Smoking | 21.5% | 21.0% |
| Binge Drinking | 12.3% | 11.8% |
| Obesity | 46.2% | 44.8% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Livingston vs Columbus
- More residents in Livingston report poor mental health at 20.4% compared to 17.4% in Columbus.
- Depression is more prevalent in Livingston at 22.0% compared to 20.0% in Columbus.
- Smoking is more prevalent in Livingston at 21.5% compared to 21.0% in Columbus.
- Binge drinking is more common in Livingston at 12.3% compared to 11.8% in Columbus.
- Obesity rates are higher in Livingston at 46.2% compared to 44.8% in Columbus.
- Disability percentages are higher in Livingston at 17.0% 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 | Livingston | Columbus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (260) |
| High School Diploma | 7.7% (248) | 18.4% (4,272) |
| Less than High School | 2.3% (74) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 15.5% (496) | 17.1% (3,971) |
Education Levels Comparison: Livingston vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Livingston.
- In Columbus, the rate of residents with high school diplomas is higher at 18.4% compared to 7.7% in Livingston.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, compared to 2.3% in Livingston.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 15.5% in Livingston.
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.