Demographics details for Mountain grove, MO vs Colbert, OK
Population Overview
Compare main population characteristics in Mountain grove, MO vs Colbert, OK.
Data | Mountain grove | Colbert |
---|---|---|
Population | 4,551 | 1,074 |
Median Age | 42.3 years | 43.9 years |
Median Income | $38,103 | $53,600 |
Married Families | 35.0% | 44.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Mountain grove vs Colbert
- In Mountain grove, the population is higher at 4,551, compared to 1,074 in Colbert.
- The median age in Colbert is higher at 43.9 years, compared to 42.3 years in Mountain grove.
- Colbert has a higher median income of $53,600, compared to $38,103 in Mountain grove.
- In Colbert, the percentage of married families is higher at 44.0%, compared to 35.0% in Mountain grove.
- The poverty level is identical in both Mountain grove and Colbert at 15%.
- The unemployment rate in Mountain grove is higher at 4.5%, compared to 3.5% in Colbert.
Demographics
Demographics Mountain grove vs Colbert provide insight into the diversity of the communities to compare.
Demographic | Mountain grove | Colbert |
---|---|---|
Black | Data is updating | 12 |
White | 89 | 66 |
Asian | 1 | Data is updating |
Hispanic | 2 | 4 |
Two or More Races | 8 | 8 |
American Indian | Data is updating | 10 |
Demographics Comparison: Mountain grove vs Colbert
- In Colbert, the percentage of Black residents is higher at 12% compared to 0% in Mountain grove.
- Mountain grove has a higher percentage of White residents at 89% compared to 66% in Colbert.
- The Asian population is larger in Mountain grove at 1% compared to 0% in Colbert.
- Colbert has a higher percentage of Hispanic residents at 4%, compared to 2% in Mountain grove.
- Both Mountain grove and Colbert have the same percentage of residents identifying as two or more races at 8%.
- In Colbert, the percentage of American Indian residents is higher at 10%, compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain grove | Colbert |
---|---|---|
Mental Health Not Good | 22.5% | 19.1% |
Physical Health Not Good | 18.1% | 13.7% |
Depression | 28.4% | 25.5% |
Smoking | 31.2% | 21.6% |
Binge Drinking | 14.8% | 14.3% |
Obesity | 44.6% | 43.2% |
Disability Percentage | 24.0% | 26.0% |
Health Statistics Comparison: Mountain grove vs Colbert
- More residents in Mountain grove report poor mental health at 22.5% compared to 19.1% in Colbert.
- Depression is more prevalent in Mountain grove at 28.4% compared to 25.5% in Colbert.
- Smoking is more prevalent in Mountain grove at 31.2% compared to 21.6% in Colbert.
- Binge drinking is more common in Mountain grove at 14.8% compared to 14.3% in Colbert.
- Obesity rates are higher in Mountain grove at 44.6% compared to 43.2% in Colbert.
- There is a higher percentage of disabled individuals in Colbert at 26.0% compared to 24.0% in Mountain grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain grove | Colbert |
---|---|---|
No Schooling | 0.6% (26) | 0.5% (5) |
High School Diploma | 27.6% (1,256) | 33.7% (362) |
Less than High School | 23.2% (1,057) | 31.4% (337) |
Bachelor's Degree and Higher | 8.8% (400) | 16.8% (180) |
Education Levels Comparison: Mountain grove vs Colbert
- A higher percentage of residents in Mountain grove have no formal schooling at 0.6% compared to 0.5% in Colbert.
- In Colbert, the rate of residents with high school diplomas is higher at 33.7% compared to 27.6% in Mountain grove.
- The percentage of residents with less than a high school education is higher in Colbert at 31.4%, compared to 23.2% in Mountain grove.
- In Colbert, a larger share of residents have a bachelor's degree or higher at 16.8% 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.