Demographics details for Columbia, SC vs Arlington, MA
Population Overview
Compare main population characteristics in Columbia, SC vs Arlington, MA.
Data | Columbia | Arlington |
---|---|---|
Population | 139,698 | 45,906 |
Median Age | 28.3 years | 40.7 years |
Median Income | $54,095 | $136,312 |
Married Families | 25.0% | 45.0% |
Poverty Level | 17% | 3% |
Unemployment Rate | 5.8 | 4.2 |
Population Comparison: Columbia vs Arlington
- In Columbia, the population is higher at 139,698, compared to 45,906 in Arlington.
- The median age in Arlington is higher at 40.7 years, compared to 28.3 years in Columbia.
- Arlington has a higher median income of $136,312, compared to $54,095 in Columbia.
- In Arlington, the percentage of married families is higher at 45.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 3% in Arlington.
- The unemployment rate in Columbia is higher at 5.8%, compared to 4.2% in Arlington.
Demographics
Demographics Columbia vs Arlington provide insight into the diversity of the communities to compare.
Demographic | Columbia | Arlington |
---|---|---|
Black | 40 | 3 |
White | 48 | 73 |
Asian | 2 | 13 |
Hispanic | 5 | 5 |
Two or More Races | 5 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Arlington
- A higher percentage of Black residents are in Columbia at 40% compared to 3% in Arlington.
- The percentage of White residents is higher in Arlington at 73% compared to 48% in Columbia.
- In Arlington, the Asian population stands at 13%, greater than 2% in Columbia.
- The percentage of Hispanic residents is the same in both Columbia and Arlington at 5%.
- The percentage of residents identifying as two or more races is higher in Arlington at 6%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Arlington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbia | Arlington |
---|---|---|
Mental Health Not Good | 18.6% | 12.6% |
Physical Health Not Good | 13.1% | 7.1% |
Depression | 20.8% | 20.1% |
Smoking | 19.1% | 7.8% |
Binge Drinking | 18.1% | 19.4% |
Obesity | 39.0% | 22.3% |
Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Columbia vs Arlington
- More residents in Columbia report poor mental health at 18.6% compared to 12.6% in Arlington.
- Depression is more prevalent in Columbia at 20.8% compared to 20.1% in Arlington.
- Smoking is more prevalent in Columbia at 19.1% compared to 7.8% in Arlington.
- More residents engage in binge drinking in Arlington at 19.4% compared to 18.1% in Columbia.
- Obesity rates are higher in Columbia at 39.0% compared to 22.3% in Arlington.
- Disability percentages are higher in Columbia at 11.0% compared to 8.0% in Arlington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbia | Arlington |
---|---|---|
No Schooling | 0.4% (555) | 0.6% (256) |
High School Diploma | 8.4% (11,712) | 6.8% (3,120) |
Less than High School | 5.9% (8,257) | 3.8% (1,725) |
Bachelor's Degree and Higher | 24.7% (34,575) | 54.6% (25,070) |
Education Levels Comparison: Columbia vs Arlington
- In Arlington, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Columbia.
- A higher percentage of residents in Columbia hold a high school diploma at 8.4% compared to 6.8% in Arlington.
- More residents in Columbia have less than a high school education at 5.9% compared to 3.8% in Arlington.
- In Arlington, a larger share of residents have a bachelor's degree or higher at 54.6% compared to 24.7% in Columbia.
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.