Demographics details for Baltic, SD vs Columbus, IN
Population Overview
Compare main population characteristics in Baltic, SD vs Columbus, IN.
| Data | Baltic | Columbus |
|---|---|---|
| Population | 1,322 | 51,268 |
| Median Age | 30.1 years | 35.8 years |
| Median Income | $94,167 | $75,114 |
| Married Families | 48.0% | 41.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 2.5 | 4.0 |
Population Comparison: Baltic vs Columbus
- The population in Columbus is higher at 51,268, compared to 1,322 in Baltic.
- The median age in Columbus is higher at 35.8 years, compared to 30.1 years in Baltic.
- Baltic has a higher median income of $94,167 compared to $75,114 in Columbus.
- A higher percentage of married families is found in Baltic at 48.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 9%, compared to 0% in Baltic.
- Columbus has a higher unemployment rate at 4.0% compared to 2.5% in Baltic.
Demographics
Demographics Baltic vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Baltic | Columbus |
|---|---|---|
| Black | 1 | 2 |
| White | 92 | 71 |
| Asian | Data is updating | 13 |
| Hispanic | 1 | 9 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Baltic vs Columbus
- In Columbus, the percentage of Black residents is higher at 2% compared to 1% in Baltic.
- Baltic has a higher percentage of White residents at 92% compared to 71% in Columbus.
- In Columbus, the Asian population stands at 13%, greater than 0% in Baltic.
- Columbus has a higher percentage of Hispanic residents at 9%, compared to 1% in Baltic.
- Both Baltic and Columbus have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Baltic at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltic | Columbus |
|---|---|---|
| Mental Health Not Good | 13.1% | 15.6% |
| Physical Health Not Good | 8.1% | 10.3% |
| Depression | 19.9% | 24.1% |
| Smoking | 15.0% | 16.3% |
| Binge Drinking | 23.1% | 16.3% |
| Obesity | 34.5% | 36.7% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Baltic vs Columbus
- In Columbus, a higher percentage report poor mental health at 15.6% compared to 13.1% in Baltic.
- Higher depression rates are seen in Columbus at 24.1% versus 19.9% in Baltic.
- Columbus has a higher smoking rate at 16.3% compared to 15.0% in Baltic.
- Binge drinking is more common in Baltic at 23.1% compared to 16.3% in Columbus.
- Columbus has higher obesity rates at 36.7% compared to 34.5% in Baltic.
- There is a higher percentage of disabled individuals in Columbus at 13.0% compared to 9.0% in Baltic.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltic | Columbus |
|---|---|---|
| No Schooling | 0.2% (2) | 0.8% (398) |
| High School Diploma | 15.1% (199) | 14.3% (7,340) |
| Less than High School | 3.6% (48) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 19.1% (252) | 28.1% (14,382) |
Education Levels Comparison: Baltic vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Baltic.
- A higher percentage of residents in Baltic hold a high school diploma at 15.1% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 9.1%, compared to 3.6% in Baltic.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 19.1% in Baltic.
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.