Demographics details for Snellville, GA vs Columbus, TX
Population Overview
Compare main population characteristics in Snellville, GA vs Columbus, TX.
Data | Snellville | Columbus |
---|---|---|
Population | 22,024 | 3,714 |
Median Age | 42.1 years | 47.0 years |
Median Income | $88,586 | $56,250 |
Married Families | 42.0% | 41.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Snellville vs Columbus
- In Snellville, the population is higher at 22,024, compared to 3,714 in Columbus.
- The median age in Columbus is higher at 47.0 years, compared to 42.1 years in Snellville.
- Snellville has a higher median income of $88,586 compared to $56,250 in Columbus.
- A higher percentage of married families is found in Snellville at 42.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 12%, compared to 10% in Snellville.
- Columbus has a higher unemployment rate at 5.0% compared to 3.5% in Snellville.
Demographics
Demographics Snellville vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Snellville | Columbus |
---|---|---|
Black | 38 | 16 |
White | 34 | 58 |
Asian | 9 | 1 |
Hispanic | 13 | 20 |
Two or More Races | 6 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Snellville vs Columbus
- A higher percentage of Black residents are in Snellville at 38% compared to 16% in Columbus.
- The percentage of White residents is higher in Columbus at 58% compared to 34% in Snellville.
- The Asian population is larger in Snellville at 9% compared to 1% in Columbus.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 13% in Snellville.
- More residents identify as two or more races in Snellville at 6% compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Snellville and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Snellville | Columbus |
---|---|---|
Mental Health Not Good | 14.6% | 16.4% |
Physical Health Not Good | 9.7% | 11.0% |
Depression | 18.2% | 21.8% |
Smoking | 13.1% | 15.6% |
Binge Drinking | 15.1% | 18.5% |
Obesity | 31.9% | 36.4% |
Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Snellville vs Columbus
- In Columbus, a higher percentage report poor mental health at 16.4% compared to 14.6% in Snellville.
- Higher depression rates are seen in Columbus at 21.8% versus 18.2% in Snellville.
- Columbus has a higher smoking rate at 15.6% compared to 13.1% in Snellville.
- More residents engage in binge drinking in Columbus at 18.5% compared to 15.1% in Snellville.
- Columbus has higher obesity rates at 36.4% compared to 31.9% in Snellville.
- Disability percentages are higher in Snellville 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 | Snellville | Columbus |
---|---|---|
No Schooling | 0.4% (94) | 2.3% (87) |
High School Diploma | 13.5% (2,970) | 25.1% (934) |
Less than High School | 10.1% (2,226) | 18.8% (699) |
Bachelor's Degree and Higher | 24.8% (5,469) | 19.1% (710) |
Education Levels Comparison: Snellville vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 0.4% in Snellville.
- In Columbus, the rate of residents with high school diplomas is higher at 25.1% compared to 13.5% in Snellville.
- The percentage of residents with less than a high school education is higher in Columbus at 18.8%, compared to 10.1% in Snellville.
- A higher percentage of residents in Snellville hold a bachelor's degree or higher at 24.8% 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.