Demographics details for Marshall, AR vs Brownsburg, IN
Population Overview
Compare main population characteristics in Marshall, AR vs Brownsburg, IN.
| Data | Marshall | Brownsburg |
|---|---|---|
| Population | 1,339 | 31,193 |
| Median Age | 52.3 years | 35.7 years |
| Median Income | $28,290 | $101,883 |
| Married Families | 33.0% | 43.0% |
| Poverty Level | 16% | 5% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Marshall vs Brownsburg
- The population in Brownsburg is higher at 31,193, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 35.7 years in Brownsburg.
- Brownsburg has a higher median income of $101,883, compared to $28,290 in Marshall.
- In Brownsburg, the percentage of married families is higher at 43.0%, compared to 33.0% in Marshall.
- Marshall has a higher poverty level at 16% compared to 5% in Brownsburg.
- The unemployment rate in Marshall is higher at 4.2%, compared to 3.5% in Brownsburg.
Demographics
Demographics Marshall vs Brownsburg provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Brownsburg |
|---|---|---|
| Black | Data is updating | 8 |
| White | 84 | 84 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 4 |
| Two or More Races | 12 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Marshall vs Brownsburg
- In Brownsburg, the percentage of Black residents is higher at 8% compared to 0% in Marshall.
- The percentage of White residents is the same in both Marshall and Brownsburg at 84%.
- In Brownsburg, the Asian population stands at 1%, greater than 0% in Marshall.
- Brownsburg has a higher percentage of Hispanic residents at 4%, compared to 3% in Marshall.
- More residents identify as two or more races in Marshall at 12% compared to 3% in Brownsburg.
- A greater percentage of American Indian residents live in Marshall at 1% compared to 0% in Brownsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Brownsburg |
|---|---|---|
| Mental Health Not Good | 21.7% | 14.5% |
| Physical Health Not Good | 16.2% | 9.0% |
| Depression | 29.8% | 23.5% |
| Smoking | 27.2% | 14.5% |
| Binge Drinking | 14.7% | 18.0% |
| Obesity | 39.2% | 32.9% |
| Disability Percentage | 30.0% | 8.0% |
Health Statistics Comparison: Marshall vs Brownsburg
- More residents in Marshall report poor mental health at 21.7% compared to 14.5% in Brownsburg.
- Depression is more prevalent in Marshall at 29.8% compared to 23.5% in Brownsburg.
- Smoking is more prevalent in Marshall at 27.2% compared to 14.5% in Brownsburg.
- More residents engage in binge drinking in Brownsburg at 18.0% compared to 14.7% in Marshall.
- Obesity rates are higher in Marshall at 39.2% compared to 32.9% in Brownsburg.
- Disability percentages are higher in Marshall at 30.0% compared to 8.0% in Brownsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Brownsburg |
|---|---|---|
| No Schooling | 0.9% (12) | 0.3% (101) |
| High School Diploma | 27.9% (373) | 10.3% (3,222) |
| Less than High School | 32.4% (434) | 5.6% (1,732) |
| Bachelor's Degree and Higher | 11.7% (156) | 29.4% (9,165) |
Education Levels Comparison: Marshall vs Brownsburg
- A higher percentage of residents in Marshall have no formal schooling at 0.9% compared to 0.3% in Brownsburg.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 10.3% in Brownsburg.
- More residents in Marshall have less than a high school education at 32.4% compared to 5.6% in Brownsburg.
- In Brownsburg, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 11.7% in Marshall.
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.