Demographics details for Cottage grove, TN vs Columbia, SC
Population Overview
Compare main population characteristics in Cottage grove, TN vs Columbia, SC.
Data | Cottage grove | Columbia |
---|---|---|
Population | 66 | 139,698 |
Median Age | 37.3 years | 28.3 years |
Median Income | $46,250 | $54,095 |
Married Families | 29.0% | 25.0% |
Poverty Level | 15% | 17% |
Unemployment Rate | 3.6 | 5.8 |
Population Comparison: Cottage grove vs Columbia
- The population in Columbia is higher at 139,698, compared to 66 in Cottage grove.
- Residents in Cottage grove have a higher median age of 37.3 years compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095, compared to $46,250 in Cottage grove.
- A higher percentage of married families is found in Cottage grove at 29.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 15% in Cottage grove.
- Columbia has a higher unemployment rate at 5.8% compared to 3.6% in Cottage grove.
Demographics
Demographics Cottage grove vs Columbia provide insight into the diversity of the communities to compare.
Demographic | Cottage grove | Columbia |
---|---|---|
Black | Data is updating | 40 |
White | 89 | 48 |
Asian | Data is updating | 2 |
Hispanic | 2 | 5 |
Two or More Races | 9 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cottage grove vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 0% in Cottage grove.
- Cottage grove has a higher percentage of White residents at 89% compared to 48% in Columbia.
- In Columbia, the Asian population stands at 2%, greater than 0% in Cottage grove.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 2% in Cottage grove.
- More residents identify as two or more races in Cottage grove at 9% compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Cottage grove and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cottage grove | Columbia |
---|---|---|
Mental Health Not Good | 19.5% | 18.6% |
Physical Health Not Good | 13.5% | 13.1% |
Depression | 27.7% | 20.8% |
Smoking | 23.6% | 19.1% |
Binge Drinking | 16.7% | 18.1% |
Obesity | 37.2% | 39.0% |
Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: Cottage grove vs Columbia
- More residents in Cottage grove report poor mental health at 19.5% compared to 18.6% in Columbia.
- Depression is more prevalent in Cottage grove at 27.7% compared to 20.8% in Columbia.
- Smoking is more prevalent in Cottage grove at 23.6% compared to 19.1% in Columbia.
- More residents engage in binge drinking in Columbia at 18.1% compared to 16.7% in Cottage grove.
- Columbia has higher obesity rates at 39.0% compared to 37.2% in Cottage grove.
- Disability percentages are higher in Cottage grove at 24.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cottage grove | Columbia |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (555) |
High School Diploma | 19.7% (13) | 8.4% (11,712) |
Less than High School | 9.1% (6) | 5.9% (8,257) |
Bachelor's Degree and Higher | 12.1% (8) | 24.7% (34,575) |
Education Levels Comparison: Cottage grove vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Cottage grove.
- A higher percentage of residents in Cottage grove hold a high school diploma at 19.7% compared to 8.4% in Columbia.
- More residents in Cottage grove have less than a high school education at 9.1% compared to 5.9% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 12.1% in Cottage grove.
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.