Demographics details for Blue springs, MO vs Trimble, TN
Population Overview
Compare main population characteristics in Blue springs, MO vs Trimble, TN.
Data | Blue springs | Trimble |
---|---|---|
Population | 59,518 | 537 |
Median Age | 36.6 years | 39.2 years |
Median Income | $82,965 | $50,625 |
Married Families | 42.0% | 31.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.7 | 4.1 |
Population Comparison: Blue springs vs Trimble
- In Blue springs, the population is higher at 59,518, compared to 537 in Trimble.
- The median age in Trimble is higher at 39.2 years, compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965 compared to $50,625 in Trimble.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 31.0% in Trimble.
- The poverty level is higher in Trimble at 12%, compared to 9% in Blue springs.
- Trimble has a higher unemployment rate at 4.1% compared to 3.7% in Blue springs.
Demographics
Demographics Blue springs vs Trimble provide insight into the diversity of the communities to compare.
Demographic | Blue springs | Trimble |
---|---|---|
Black | 7 | 3 |
White | 79 | 87 |
Asian | 1 | 1 |
Hispanic | 7 | Data is updating |
Two or More Races | 6 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue springs vs Trimble
- A higher percentage of Black residents are in Blue springs at 7% compared to 3% in Trimble.
- The percentage of White residents is higher in Trimble at 87% compared to 79% in Blue springs.
- Both Blue springs and Trimble have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Blue springs at 7% compared to 0% in Trimble.
- The percentage of residents identifying as two or more races is higher in Trimble at 9%, compared to 6% in Blue springs.
- The percentage of American Indian residents is the same in both Blue springs and Trimble at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue springs | Trimble |
---|---|---|
Mental Health Not Good | 17.3% | 20.5% |
Physical Health Not Good | 10.4% | 14.1% |
Depression | 22.8% | 29.9% |
Smoking | 15.6% | 23.9% |
Binge Drinking | 21.5% | 15.7% |
Obesity | 34.7% | 33.5% |
Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Blue springs vs Trimble
- In Trimble, a higher percentage report poor mental health at 20.5% compared to 17.3% in Blue springs.
- Higher depression rates are seen in Trimble at 29.9% versus 22.8% in Blue springs.
- Trimble has a higher smoking rate at 23.9% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 15.7% in Trimble.
- Obesity rates are higher in Blue springs at 34.7% compared to 33.5% in Trimble.
- There is a higher percentage of disabled individuals in Trimble at 14.0% 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 | Trimble |
---|---|---|
No Schooling | 0.3% (178) | 0.0% (Data is updating) |
High School Diploma | 16.5% (9,835) | 23.6% (127) |
Less than High School | 4.9% (2,932) | 21.2% (114) |
Bachelor's Degree and Higher | 21.8% (12,992) | 6.3% (34) |
Education Levels Comparison: Blue springs vs Trimble
- A higher percentage of residents in Blue springs have no formal schooling at 0.3% compared to 0.0% in Trimble.
- In Trimble, the rate of residents with high school diplomas is higher at 23.6% compared to 16.5% in Blue springs.
- The percentage of residents with less than a high school education is higher in Trimble at 21.2%, 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 6.3% in Trimble.
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.