Demographics details for Indianapolis, IN vs Suffolk, VA
Population Overview
Compare main population characteristics in Indianapolis, IN vs Suffolk, VA.
| Data | Indianapolis | Suffolk |
|---|---|---|
| Population | 880,621 | 98,537 |
| Median Age | 34.3 years | 38.5 years |
| Median Income | $59,110 | $87,758 |
| Married Families | 31.0% | 40.0% |
| Poverty Level | 15% | 7% |
| Unemployment Rate | 4.4 | 3.2 |
Population Comparison: Indianapolis vs Suffolk
- In Indianapolis, the population is higher at 880,621, compared to 98,537 in Suffolk.
- The median age in Suffolk is higher at 38.5 years, compared to 34.3 years in Indianapolis.
- Suffolk has a higher median income of $87,758, compared to $59,110 in Indianapolis.
- In Suffolk, the percentage of married families is higher at 40.0%, compared to 31.0% in Indianapolis.
- Indianapolis has a higher poverty level at 15% compared to 7% in Suffolk.
- The unemployment rate in Indianapolis is higher at 4.4%, compared to 3.2% in Suffolk.
Demographics
Demographics Indianapolis vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Indianapolis | Suffolk |
|---|---|---|
| Black | 29 | 40 |
| White | 50 | 47 |
| Asian | 4 | 2 |
| Hispanic | 11 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Indianapolis vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 29% in Indianapolis.
- Indianapolis has a higher percentage of White residents at 50% compared to 47% in Suffolk.
- The Asian population is larger in Indianapolis at 4% compared to 2% in Suffolk.
- The Hispanic community is larger in Indianapolis at 11% compared to 5% in Suffolk.
- Both Indianapolis and Suffolk have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Indianapolis and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Indianapolis | Suffolk |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.6% |
| Physical Health Not Good | 12.1% | 10.6% |
| Depression | 25.3% | 21.4% |
| Smoking | 20.7% | 15.3% |
| Binge Drinking | 16.7% | 16.6% |
| Obesity | 37.4% | 42.4% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Indianapolis vs Suffolk
- More residents in Indianapolis report poor mental health at 17.3% compared to 16.6% in Suffolk.
- Depression is more prevalent in Indianapolis at 25.3% compared to 21.4% in Suffolk.
- Smoking is more prevalent in Indianapolis at 20.7% compared to 15.3% in Suffolk.
- Binge drinking is more common in Indianapolis at 16.7% compared to 16.6% in Suffolk.
- Suffolk has higher obesity rates at 42.4% compared to 37.4% in Indianapolis.
- Disability percentages are higher in Indianapolis at 13.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Indianapolis | Suffolk |
|---|---|---|
| No Schooling | 1.5% (13,330) | 1.0% (965) |
| High School Diploma | 14.9% (130,921) | 14.9% (14,643) |
| Less than High School | 13.6% (120,182) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 22.0% (193,312) | 21.0% (20,740) |
Education Levels Comparison: Indianapolis vs Suffolk
- A higher percentage of residents in Indianapolis have no formal schooling at 1.5% compared to 1.0% in Suffolk.
- Both cities have the same percentage of residents with high school diplomas at 14.9%.
- More residents in Indianapolis have less than a high school education at 13.6% compared to 7.8% in Suffolk.
- A higher percentage of residents in Indianapolis hold a bachelor's degree or higher at 22.0% compared to 21.0% in Suffolk.
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.