Demographics details for Argyle, WI vs Columbia, SC
Population Overview
Compare main population characteristics in Argyle, WI vs Columbia, SC.
| Data | Argyle | Columbia |
|---|---|---|
| Population | 790 | 139,698 |
| Median Age | 45.9 years | 28.3 years |
| Median Income | $53,977 | $54,095 |
| Married Families | 38.0% | 25.0% |
| Poverty Level | Data is updating | 17% |
| Unemployment Rate | 3.2 | 5.8 |
Population Comparison: Argyle vs Columbia
- The population in Columbia is higher at 139,698, compared to 790 in Argyle.
- Residents in Argyle have a higher median age of 45.9 years compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095, compared to $53,977 in Argyle.
- A higher percentage of married families is found in Argyle at 38.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 0% in Argyle.
- Columbia has a higher unemployment rate at 5.8% compared to 3.2% in Argyle.
Demographics
Demographics Argyle vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Argyle | Columbia |
|---|---|---|
| Black | Data is updating | 40 |
| White | 97 | 48 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 5 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Argyle vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 0% in Argyle.
- Argyle has a higher percentage of White residents at 97% compared to 48% in Columbia.
- In Columbia, the Asian population stands at 2%, greater than 0% in Argyle.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 3% in Argyle.
- The percentage of residents identifying as two or more races is higher in Columbia at 5%, compared to 0% in Argyle.
- The percentage of American Indian residents is the same in both Argyle and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Argyle | Columbia |
|---|---|---|
| Mental Health Not Good | 15.5% | 18.6% |
| Physical Health Not Good | 10.4% | 13.1% |
| Depression | 23.4% | 20.8% |
| Smoking | 17.4% | 19.1% |
| Binge Drinking | 24.1% | 18.1% |
| Obesity | 34.0% | 39.0% |
| Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Argyle vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 15.5% in Argyle.
- Depression is more prevalent in Argyle at 23.4% compared to 20.8% in Columbia.
- Columbia has a higher smoking rate at 19.1% compared to 17.4% in Argyle.
- Binge drinking is more common in Argyle at 24.1% compared to 18.1% in Columbia.
- Columbia has higher obesity rates at 39.0% compared to 34.0% in Argyle.
- Disability percentages are higher in Argyle at 18.0% 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 | Argyle | Columbia |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (555) |
| High School Diploma | 37.0% (292) | 8.4% (11,712) |
| Less than High School | 9.0% (71) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 10.9% (86) | 24.7% (34,575) |
Education Levels Comparison: Argyle vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Argyle.
- A higher percentage of residents in Argyle hold a high school diploma at 37.0% compared to 8.4% in Columbia.
- More residents in Argyle have less than a high school education at 9.0% 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 10.9% in Argyle.
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.