Demographics details for Darwin, MN vs Indianapolis, IN
Population Overview
Compare main population characteristics in Darwin, MN vs Indianapolis, IN.
| Data | Darwin | Indianapolis |
|---|---|---|
| Population | 344 | 880,621 |
| Median Age | 34.8 years | 34.3 years |
| Median Income | $62,083 | $59,110 |
| Married Families | 37.0% | 31.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.2 | 4.4 |
Population Comparison: Darwin vs Indianapolis
- The population in Indianapolis is higher at 880,621, compared to 344 in Darwin.
- Residents in Darwin have a higher median age of 34.8 years compared to 34.3 years in Indianapolis.
- Darwin has a higher median income of $62,083 compared to $59,110 in Indianapolis.
- A higher percentage of married families is found in Darwin at 37.0% compared to 31.0% in Indianapolis.
- The poverty level is higher in Indianapolis at 15%, compared to 5% in Darwin.
- Indianapolis has a higher unemployment rate at 4.4% compared to 3.2% in Darwin.
Demographics
Demographics Darwin vs Indianapolis provide insight into the diversity of the communities to compare.
| Demographic | Darwin | Indianapolis |
|---|---|---|
| Black | Data is updating | 29 |
| White | 90 | 50 |
| Asian | Data is updating | 4 |
| Hispanic | 9 | 11 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Darwin vs Indianapolis
- In Indianapolis, the percentage of Black residents is higher at 29% compared to 0% in Darwin.
- Darwin has a higher percentage of White residents at 90% compared to 50% in Indianapolis.
- In Indianapolis, the Asian population stands at 4%, greater than 0% in Darwin.
- Indianapolis has a higher percentage of Hispanic residents at 11%, compared to 9% in Darwin.
- The percentage of residents identifying as two or more races is higher in Indianapolis at 6%, compared to 1% in Darwin.
- The percentage of American Indian residents is the same in both Darwin and Indianapolis at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Darwin | Indianapolis |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.3% |
| Physical Health Not Good | 8.8% | 12.1% |
| Depression | 23.2% | 25.3% |
| Smoking | 17.5% | 20.7% |
| Binge Drinking | 22.3% | 16.7% |
| Obesity | 32.7% | 37.4% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Darwin vs Indianapolis
- In Indianapolis, a higher percentage report poor mental health at 17.3% compared to 14.7% in Darwin.
- Higher depression rates are seen in Indianapolis at 25.3% versus 23.2% in Darwin.
- Indianapolis has a higher smoking rate at 20.7% compared to 17.5% in Darwin.
- Binge drinking is more common in Darwin at 22.3% compared to 16.7% in Indianapolis.
- Indianapolis has higher obesity rates at 37.4% compared to 32.7% in Darwin.
- Disability percentages are higher in Darwin at 19.0% compared to 13.0% in Indianapolis.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Darwin | Indianapolis |
|---|---|---|
| No Schooling | 1.7% (6) | 1.5% (13,330) |
| High School Diploma | 20.9% (72) | 14.9% (130,921) |
| Less than High School | 9.3% (32) | 13.6% (120,182) |
| Bachelor's Degree and Higher | 11.9% (41) | 22.0% (193,312) |
Education Levels Comparison: Darwin vs Indianapolis
- A higher percentage of residents in Darwin have no formal schooling at 1.7% compared to 1.5% in Indianapolis.
- A higher percentage of residents in Darwin hold a high school diploma at 20.9% compared to 14.9% in Indianapolis.
- The percentage of residents with less than a high school education is higher in Indianapolis at 13.6%, compared to 9.3% in Darwin.
- In Indianapolis, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 11.9% in Darwin.
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.