Demographics details for Mountain grove, MO vs Fowler, KS
Population Overview
Compare main population characteristics in Mountain grove, MO vs Fowler, KS.
Data | Mountain grove | Fowler |
---|---|---|
Population | 4,551 | 513 |
Median Age | 42.3 years | 39.8 years |
Median Income | $38,103 | $45,402 |
Married Families | 35.0% | 24.0% |
Poverty Level | 15% | 13% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Mountain grove vs Fowler
- In Mountain grove, the population is higher at 4,551, compared to 513 in Fowler.
- Residents in Mountain grove have a higher median age of 42.3 years compared to 39.8 years in Fowler.
- Fowler has a higher median income of $45,402, compared to $38,103 in Mountain grove.
- A higher percentage of married families is found in Mountain grove at 35.0% compared to 24.0% in Fowler.
- Mountain grove has a higher poverty level at 15% compared to 13% in Fowler.
- The unemployment rate in Mountain grove is higher at 4.5%, compared to 3.2% in Fowler.
Demographics
Demographics Mountain grove vs Fowler provide insight into the diversity of the communities to compare.
Demographic | Mountain grove | Fowler |
---|---|---|
Black | Data is updating | Data is updating |
White | 89 | 71 |
Asian | 1 | Data is updating |
Hispanic | 2 | 19 |
Two or More Races | 8 | 7 |
American Indian | Data is updating | 3 |
Demographics Comparison: Mountain grove vs Fowler
- The percentage of Black residents is the same in both Mountain grove and Fowler at 0%.
- Mountain grove has a higher percentage of White residents at 89% compared to 71% in Fowler.
- The Asian population is larger in Mountain grove at 1% compared to 0% in Fowler.
- Fowler has a higher percentage of Hispanic residents at 19%, compared to 2% in Mountain grove.
- More residents identify as two or more races in Mountain grove at 8% compared to 7% in Fowler.
- In Fowler, the percentage of American Indian residents is higher at 3%, compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain grove | Fowler |
---|---|---|
Mental Health Not Good | 22.5% | 16.5% |
Physical Health Not Good | 18.1% | 11.3% |
Depression | 28.4% | 21.2% |
Smoking | 31.2% | 19.7% |
Binge Drinking | 14.8% | 18.8% |
Obesity | 44.6% | 39.3% |
Disability Percentage | 24.0% | 17.0% |
Health Statistics Comparison: Mountain grove vs Fowler
- More residents in Mountain grove report poor mental health at 22.5% compared to 16.5% in Fowler.
- Depression is more prevalent in Mountain grove at 28.4% compared to 21.2% in Fowler.
- Smoking is more prevalent in Mountain grove at 31.2% compared to 19.7% in Fowler.
- More residents engage in binge drinking in Fowler at 18.8% compared to 14.8% in Mountain grove.
- Obesity rates are higher in Mountain grove at 44.6% compared to 39.3% in Fowler.
- Disability percentages are higher in Mountain grove at 24.0% compared to 17.0% in Fowler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain grove | Fowler |
---|---|---|
No Schooling | 0.6% (26) | 0.0% (Data is updating) |
High School Diploma | 27.6% (1,256) | 9.0% (46) |
Less than High School | 23.2% (1,057) | 13.5% (69) |
Bachelor's Degree and Higher | 8.8% (400) | 20.9% (107) |
Education Levels Comparison: Mountain grove vs Fowler
- A higher percentage of residents in Mountain grove have no formal schooling at 0.6% compared to 0.0% in Fowler.
- A higher percentage of residents in Mountain grove hold a high school diploma at 27.6% compared to 9.0% in Fowler.
- More residents in Mountain grove have less than a high school education at 23.2% compared to 13.5% in Fowler.
- In Fowler, a larger share of residents have a bachelor's degree or higher at 20.9% 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.