Demographics details for Volga, IA vs Columbus, IN
Population Overview
Compare main population characteristics in Volga, IA vs Columbus, IN.
| Data | Volga | Columbus |
|---|---|---|
| Population | 202 | 51,268 |
| Median Age | 54.5 years | 35.8 years |
| Median Income | $57,500 | $75,114 |
| Married Families | 62.0% | 41.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.7 | 4.0 |
Population Comparison: Volga vs Columbus
- The population in Columbus is higher at 51,268, compared to 202 in Volga.
- Residents in Volga have a higher median age of 54.5 years compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114, compared to $57,500 in Volga.
- A higher percentage of married families is found in Volga at 62.0% compared to 41.0% in Columbus.
- Volga has a higher poverty level at 10% compared to 9% in Columbus.
- Columbus has a higher unemployment rate at 4.0% compared to 3.7% in Volga.
Demographics
Demographics Volga vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Volga | Columbus |
|---|---|---|
| Black | Data is updating | 2 |
| White | 88 | 71 |
| Asian | 12 | 13 |
| Hispanic | Data is updating | 9 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Volga vs Columbus
- In Columbus, the percentage of Black residents is higher at 2% compared to 0% in Volga.
- Volga has a higher percentage of White residents at 88% compared to 71% in Columbus.
- In Columbus, the Asian population stands at 13%, greater than 12% in Volga.
- Columbus has a higher percentage of Hispanic residents at 9%, compared to 0% in Volga.
- The percentage of residents identifying as two or more races is higher in Columbus at 5%, compared to 0% in Volga.
- The percentage of American Indian residents is the same in both Volga and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Volga | Columbus |
|---|---|---|
| Mental Health Not Good | 16.0% | 15.6% |
| Physical Health Not Good | 10.0% | 10.3% |
| Depression | 18.5% | 24.1% |
| Smoking | 18.6% | 16.3% |
| Binge Drinking | 22.5% | 16.3% |
| Obesity | 39.3% | 36.7% |
| Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Volga vs Columbus
- More residents in Volga report poor mental health at 16.0% compared to 15.6% in Columbus.
- Higher depression rates are seen in Columbus at 24.1% versus 18.5% in Volga.
- Smoking is more prevalent in Volga at 18.6% compared to 16.3% in Columbus.
- Binge drinking is more common in Volga at 22.5% compared to 16.3% in Columbus.
- Obesity rates are higher in Volga at 39.3% compared to 36.7% in Columbus.
- Disability percentages are higher in Volga at 21.0% compared to 13.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Volga | Columbus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (398) |
| High School Diploma | 43.1% (87) | 14.3% (7,340) |
| Less than High School | 12.9% (26) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 14.9% (30) | 28.1% (14,382) |
Education Levels Comparison: Volga vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Volga.
- A higher percentage of residents in Volga hold a high school diploma at 43.1% compared to 14.3% in Columbus.
- More residents in Volga have less than a high school education at 12.9% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 14.9% in Volga.
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.