Demographics details for Milan, OH vs Booneville, AR
Population Overview
Compare main population characteristics in Milan, OH vs Booneville, AR.
Data | Milan | Booneville |
---|---|---|
Population | 1,359 | 3,803 |
Median Age | 40.1 years | 36.7 years |
Median Income | $90,145 | $46,182 |
Married Families | 51.0% | 32.0% |
Poverty Level | 5% | 15% |
Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Milan vs Booneville
- The population in Booneville is higher at 3,803, compared to 1,359 in Milan.
- Residents in Milan have a higher median age of 40.1 years compared to 36.7 years in Booneville.
- Milan has a higher median income of $90,145 compared to $46,182 in Booneville.
- A higher percentage of married families is found in Milan at 51.0% compared to 32.0% in Booneville.
- The poverty level is higher in Booneville at 15%, compared to 5% in Milan.
- Booneville has a higher unemployment rate at 5.1% compared to 3.5% in Milan.
Demographics
Demographics Milan vs Booneville provide insight into the diversity of the communities to compare.
Demographic | Milan | Booneville |
---|---|---|
Black | 2 | 4 |
White | 94 | 89 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | 1 |
Demographics Comparison: Milan vs Booneville
- In Booneville, the percentage of Black residents is higher at 4% compared to 2% in Milan.
- Milan has a higher percentage of White residents at 94% compared to 89% in Booneville.
- Both Milan and Booneville have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Milan and Booneville at 2%.
- The percentage of residents identifying as two or more races is higher in Booneville at 4%, compared to 2% in Milan.
- In Booneville, the percentage of American Indian residents is higher at 1%, compared to 0% in Milan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milan | Booneville |
---|---|---|
Mental Health Not Good | 16.5% | 22.7% |
Physical Health Not Good | 10.6% | 17.6% |
Depression | 24.1% | 29.8% |
Smoking | 19.3% | 28.7% |
Binge Drinking | 21.0% | 14.2% |
Obesity | 39.2% | 43.5% |
Disability Percentage | 13.0% | 21.0% |
Health Statistics Comparison: Milan vs Booneville
- In Booneville, a higher percentage report poor mental health at 22.7% compared to 16.5% in Milan.
- Higher depression rates are seen in Booneville at 29.8% versus 24.1% in Milan.
- Booneville has a higher smoking rate at 28.7% compared to 19.3% in Milan.
- Binge drinking is more common in Milan at 21.0% compared to 14.2% in Booneville.
- Booneville has higher obesity rates at 43.5% compared to 39.2% in Milan.
- There is a higher percentage of disabled individuals in Booneville at 21.0% compared to 13.0% in Milan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Milan | Booneville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.8% (69) |
High School Diploma | 30.7% (417) | 20.9% (793) |
Less than High School | 4.0% (54) | 18.7% (711) |
Bachelor's Degree and Higher | 18.3% (249) | 4.4% (168) |
Education Levels Comparison: Milan vs Booneville
- In Booneville, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Milan.
- A higher percentage of residents in Milan hold a high school diploma at 30.7% compared to 20.9% in Booneville.
- The percentage of residents with less than a high school education is higher in Booneville at 18.7%, compared to 4.0% in Milan.
- A higher percentage of residents in Milan hold a bachelor's degree or higher at 18.3% compared to 4.4% in Booneville.
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.