Demographics details for Bella vista, AR vs Manhattan, MT
Population Overview
Compare main population characteristics in Bella vista, AR vs Manhattan, MT.
Data | Bella vista | Manhattan |
---|---|---|
Population | 31,733 | 2,120 |
Median Age | 50.2 years | 39.6 years |
Median Income | $83,989 | $57,045 |
Married Families | 54.0% | 37.0% |
Poverty Level | 7% | 10% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Bella vista vs Manhattan
- In Bella vista, the population is higher at 31,733, compared to 2,120 in Manhattan.
- Residents in Bella vista have a higher median age of 50.2 years compared to 39.6 years in Manhattan.
- Bella vista has a higher median income of $83,989 compared to $57,045 in Manhattan.
- A higher percentage of married families is found in Bella vista at 54.0% compared to 37.0% in Manhattan.
- The poverty level is higher in Manhattan at 10%, compared to 7% in Bella vista.
- Manhattan has a higher unemployment rate at 4.2% compared to 3.5% in Bella vista.
Demographics
Demographics Bella vista vs Manhattan provide insight into the diversity of the communities to compare.
Demographic | Bella vista | Manhattan |
---|---|---|
Black | Data is updating | Data is updating |
White | 84 | 94 |
Asian | 1 | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 10 | 3 |
American Indian | 1 | 1 |
Demographics Comparison: Bella vista vs Manhattan
- The percentage of Black residents is the same in both Bella vista and Manhattan at 0%.
- The percentage of White residents is higher in Manhattan at 94% compared to 84% in Bella vista.
- The Asian population is larger in Bella vista at 1% compared to 0% in Manhattan.
- The Hispanic community is larger in Bella vista at 4% compared to 2% in Manhattan.
- More residents identify as two or more races in Bella vista at 10% compared to 3% in Manhattan.
- The percentage of American Indian residents is the same in both Bella vista and Manhattan at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bella vista | Manhattan |
---|---|---|
Mental Health Not Good | 16.4% | 14.4% |
Physical Health Not Good | 10.1% | 9.0% |
Depression | 24.0% | 22.7% |
Smoking | 14.4% | 13.5% |
Binge Drinking | 17.6% | 24.2% |
Obesity | 33.0% | 24.2% |
Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Bella vista vs Manhattan
- More residents in Bella vista report poor mental health at 16.4% compared to 14.4% in Manhattan.
- Depression is more prevalent in Bella vista at 24.0% compared to 22.7% in Manhattan.
- Smoking is more prevalent in Bella vista at 14.4% compared to 13.5% in Manhattan.
- More residents engage in binge drinking in Manhattan at 24.2% compared to 17.6% in Bella vista.
- Obesity rates are higher in Bella vista at 33.0% compared to 24.2% in Manhattan.
- Disability percentages are higher in Bella vista at 15.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bella vista | Manhattan |
---|---|---|
No Schooling | 0.3% (110) | 0.0% (Data is updating) |
High School Diploma | 17.0% (5,393) | 15.3% (325) |
Less than High School | 5.9% (1,884) | 0.6% (12) |
Bachelor's Degree and Higher | 27.5% (8,730) | 18.5% (392) |
Education Levels Comparison: Bella vista vs Manhattan
- A higher percentage of residents in Bella vista have no formal schooling at 0.3% compared to 0.0% in Manhattan.
- A higher percentage of residents in Bella vista hold a high school diploma at 17.0% compared to 15.3% in Manhattan.
- More residents in Bella vista have less than a high school education at 5.9% compared to 0.6% in Manhattan.
- A higher percentage of residents in Bella vista hold a bachelor's degree or higher at 27.5% compared to 18.5% in Manhattan.
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.