Demographics details for Bristol, VT vs Columbia, SC
Population Overview
Compare main population characteristics in Bristol, VT vs Columbia, SC.
Data | Bristol | Columbia |
---|---|---|
Population | 3,894 | 139,698 |
Median Age | 39.5 years | 28.3 years |
Median Income | $63,500 | $54,095 |
Married Families | 57.2% | 25.0% |
Poverty Level | 9% | 17% |
Unemployment Rate | 1.9 | 5.8 |
Population Comparison: Bristol vs Columbia
- The population in Columbia is higher at 139,698, compared to 3,894 in Bristol.
- Residents in Bristol have a higher median age of 39.5 years compared to 28.3 years in Columbia.
- Bristol has a higher median income of $63,500 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Bristol at 57.2% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 9% in Bristol.
- Columbia has a higher unemployment rate at 5.8% compared to 1.9% in Bristol.
Demographics
Demographics Bristol vs Columbia provide insight into the diversity of the communities to compare.
Demographic | Bristol | Columbia |
---|---|---|
Black | Data is updating | 40 |
White | 92.4 | 48 |
Asian | 0.3 | 2 |
Hispanic | 5.7 | 5 |
Two or More Races | 1.6 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bristol vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 0% in Bristol.
- Bristol has a higher percentage of White residents at 92.4% compared to 48% in Columbia.
- In Columbia, the Asian population stands at 2%, greater than 0.3% in Bristol.
- The Hispanic community is larger in Bristol at 5.7% compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Columbia at 5%, compared to 1.6% in Bristol.
- The percentage of American Indian residents is the same in both Bristol and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bristol | Columbia |
---|---|---|
Mental Health Not Good | Data is updating% | 18.6% |
Physical Health Not Good | Data is updating% | 13.1% |
Depression | Data is updating% | 20.8% |
Smoking | Data is updating% | 19.1% |
Binge Drinking | Data is updating% | 18.1% |
Obesity | Data is updating% | 39.0% |
Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Bristol vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 0.0% in Bristol.
- Higher depression rates are seen in Columbia at 20.8% versus 0.0% in Bristol.
- Columbia has a higher smoking rate at 19.1% compared to 0.0% in Bristol.
- More residents engage in binge drinking in Columbia at 18.1% compared to 0.0% in Bristol.
- Columbia has higher obesity rates at 39.0% compared to 0.0% in Bristol.
- There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 0.0% in Bristol.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bristol | Columbia |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (555) |
High School Diploma | 0.0% (Data is updating) | 8.4% (11,712) |
Less than High School | 0.0% (Data is updating) | 5.9% (8,257) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 24.7% (34,575) |
Education Levels Comparison: Bristol vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Bristol.
- In Columbia, the rate of residents with high school diplomas is higher at 8.4% compared to 0.0% in Bristol.
- The percentage of residents with less than a high school education is higher in Columbia at 5.9%, compared to 0.0% in Bristol.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 0.0% in Bristol.
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.