Demographics details for Blue springs, MO vs Alcoa, TN
Population Overview
Compare main population characteristics in Blue springs, MO vs Alcoa, TN.
Data | Blue springs | Alcoa |
---|---|---|
Population | 59,518 | 11,803 |
Median Age | 36.6 years | 36.3 years |
Median Income | $82,965 | $63,580 |
Married Families | 42.0% | 35.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 3.7 | 3.2 |
Population Comparison: Blue springs vs Alcoa
- In Blue springs, the population is higher at 59,518, compared to 11,803 in Alcoa.
- Residents in Blue springs have a higher median age of 36.6 years compared to 36.3 years in Alcoa.
- Blue springs has a higher median income of $82,965 compared to $63,580 in Alcoa.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 35.0% in Alcoa.
- The poverty level is higher in Alcoa at 10%, compared to 9% in Blue springs.
- The unemployment rate in Blue springs is higher at 3.7%, compared to 3.2% in Alcoa.
Demographics
Demographics Blue springs vs Alcoa provide insight into the diversity of the communities to compare.
Demographic | Blue springs | Alcoa |
---|---|---|
Black | 7 | 10 |
White | 79 | 70 |
Asian | 1 | 2 |
Hispanic | 7 | 9 |
Two or More Races | 6 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue springs vs Alcoa
- In Alcoa, the percentage of Black residents is higher at 10% compared to 7% in Blue springs.
- Blue springs has a higher percentage of White residents at 79% compared to 70% in Alcoa.
- In Alcoa, the Asian population stands at 2%, greater than 1% in Blue springs.
- Alcoa has a higher percentage of Hispanic residents at 9%, compared to 7% in Blue springs.
- The percentage of residents identifying as two or more races is higher in Alcoa at 9%, compared to 6% in Blue springs.
- The percentage of American Indian residents is the same in both Blue springs and Alcoa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue springs | Alcoa |
---|---|---|
Mental Health Not Good | 17.3% | 19.7% |
Physical Health Not Good | 10.4% | 13.6% |
Depression | 22.8% | 27.9% |
Smoking | 15.6% | 21.8% |
Binge Drinking | 21.5% | 14.0% |
Obesity | 34.7% | 35.4% |
Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Blue springs vs Alcoa
- In Alcoa, a higher percentage report poor mental health at 19.7% compared to 17.3% in Blue springs.
- Higher depression rates are seen in Alcoa at 27.9% versus 22.8% in Blue springs.
- Alcoa has a higher smoking rate at 21.8% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 14.0% in Alcoa.
- Alcoa has higher obesity rates at 35.4% compared to 34.7% in Blue springs.
- There is a higher percentage of disabled individuals in Alcoa at 12.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Blue springs | Alcoa |
---|---|---|
No Schooling | 0.3% (178) | 0.5% (62) |
High School Diploma | 16.5% (9,835) | 19.2% (2,272) |
Less than High School | 4.9% (2,932) | 13.0% (1,531) |
Bachelor's Degree and Higher | 21.8% (12,992) | 21.0% (2,481) |
Education Levels Comparison: Blue springs vs Alcoa
- In Alcoa, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Blue springs.
- In Alcoa, the rate of residents with high school diplomas is higher at 19.2% compared to 16.5% in Blue springs.
- The percentage of residents with less than a high school education is higher in Alcoa at 13.0%, compared to 4.9% in Blue springs.
- A higher percentage of residents in Blue springs hold a bachelor's degree or higher at 21.8% compared to 21.0% in Alcoa.
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.