Demographics details for Keller, TX vs Mountain grove, MO
Population Overview
Compare main population characteristics in Keller, TX vs Mountain grove, MO.
Data | Keller | Mountain grove |
---|---|---|
Population | 45,252 | 4,551 |
Median Age | 43.3 years | 42.3 years |
Median Income | $162,094 | $38,103 |
Married Families | 53.0% | 35.0% |
Poverty Level | Data is updating | 15% |
Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Keller vs Mountain grove
- In Keller, the population is higher at 45,252, compared to 4,551 in Mountain grove.
- Residents in Keller have a higher median age of 43.3 years compared to 42.3 years in Mountain grove.
- Keller has a higher median income of $162,094 compared to $38,103 in Mountain grove.
- A higher percentage of married families is found in Keller at 53.0% compared to 35.0% in Mountain grove.
- The poverty level is higher in Mountain grove at 15%, compared to 0% in Keller.
- Mountain grove has a higher unemployment rate at 4.5% compared to 3.8% in Keller.
Demographics
Demographics Keller vs Mountain grove provide insight into the diversity of the communities to compare.
Demographic | Keller | Mountain grove |
---|---|---|
Black | 3 | Data is updating |
White | 76 | 89 |
Asian | 5 | 1 |
Hispanic | 10 | 2 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Keller vs Mountain grove
- A higher percentage of Black residents are in Keller at 3% compared to 0% in Mountain grove.
- The percentage of White residents is higher in Mountain grove at 89% compared to 76% in Keller.
- The Asian population is larger in Keller at 5% compared to 1% in Mountain grove.
- The Hispanic community is larger in Keller at 10% compared to 2% in Mountain grove.
- The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 6% in Keller.
- The percentage of American Indian residents is the same in both Keller and Mountain grove at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keller | Mountain grove |
---|---|---|
Mental Health Not Good | 13.9% | 22.5% |
Physical Health Not Good | 8.1% | 18.1% |
Depression | 22.3% | 28.4% |
Smoking | 10.2% | 31.2% |
Binge Drinking | 19.6% | 14.8% |
Obesity | 28.6% | 44.6% |
Disability Percentage | 7.0% | 24.0% |
Health Statistics Comparison: Keller vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 13.9% in Keller.
- Higher depression rates are seen in Mountain grove at 28.4% versus 22.3% in Keller.
- Mountain grove has a higher smoking rate at 31.2% compared to 10.2% in Keller.
- Binge drinking is more common in Keller at 19.6% compared to 14.8% in Mountain grove.
- Mountain grove has higher obesity rates at 44.6% compared to 28.6% in Keller.
- There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 7.0% in Keller.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Keller | Mountain grove |
---|---|---|
No Schooling | 0.4% (183) | 0.6% (26) |
High School Diploma | 7.1% (3,221) | 27.6% (1,256) |
Less than High School | 3.0% (1,347) | 23.2% (1,057) |
Bachelor's Degree and Higher | 40.2% (18,208) | 8.8% (400) |
Education Levels Comparison: Keller vs Mountain grove
- In Mountain grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Keller.
- In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 7.1% in Keller.
- The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 3.0% in Keller.
- A higher percentage of residents in Keller hold a bachelor's degree or higher at 40.2% compared to 8.8% in Mountain grove.
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.