Demographics details for Danville, KY vs Monett, MO
Population Overview
Compare main population characteristics in Danville, KY vs Monett, MO.
Data | Danville | Monett |
---|---|---|
Population | 17,303 | 9,789 |
Median Age | 36.4 years | 34.7 years |
Median Income | $48,038 | $42,635 |
Married Families | 31.0% | 33.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 4.1 | 3.8 |
Population Comparison: Danville vs Monett
- In Danville, the population is higher at 17,303, compared to 9,789 in Monett.
- Residents in Danville have a higher median age of 36.4 years compared to 34.7 years in Monett.
- Danville has a higher median income of $48,038 compared to $42,635 in Monett.
- In Monett, the percentage of married families is higher at 33.0%, compared to 31.0% in Danville.
- The poverty level is identical in both Danville and Monett at 15%.
- The unemployment rate in Danville is higher at 4.1%, compared to 3.8% in Monett.
Demographics
Demographics Danville vs Monett provide insight into the diversity of the communities to compare.
Demographic | Danville | Monett |
---|---|---|
Black | 12 | Data is updating |
White | 79 | 51 |
Asian | 1 | 2 |
Hispanic | 4 | 29 |
Two or More Races | 4 | 15 |
American Indian | Data is updating | 3 |
Demographics Comparison: Danville vs Monett
- A higher percentage of Black residents are in Danville at 12% compared to 0% in Monett.
- Danville has a higher percentage of White residents at 79% compared to 51% in Monett.
- In Monett, the Asian population stands at 2%, greater than 1% in Danville.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 4% in Danville.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 4% in Danville.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Danville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danville | Monett |
---|---|---|
Mental Health Not Good | 19.1% | 18.9% |
Physical Health Not Good | 14.1% | 14.4% |
Depression | 27.7% | 25.3% |
Smoking | 21.6% | 22.8% |
Binge Drinking | 14.7% | 16.5% |
Obesity | 41.5% | 41.0% |
Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Danville vs Monett
- More residents in Danville report poor mental health at 19.1% compared to 18.9% in Monett.
- Depression is more prevalent in Danville at 27.7% compared to 25.3% in Monett.
- Monett has a higher smoking rate at 22.8% compared to 21.6% in Danville.
- More residents engage in binge drinking in Monett at 16.5% compared to 14.7% in Danville.
- Obesity rates are higher in Danville at 41.5% compared to 41.0% in Monett.
- Disability percentages are higher in Danville at 15.0% compared to 13.0% in Monett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danville | Monett |
---|---|---|
No Schooling | 0.6% (108) | 1.0% (97) |
High School Diploma | 16.8% (2,899) | 20.5% (2,003) |
Less than High School | 12.1% (2,102) | 20.0% (1,953) |
Bachelor's Degree and Higher | 16.1% (2,789) | 8.4% (822) |
Education Levels Comparison: Danville vs Monett
- In Monett, a larger percentage of residents lack formal schooling at 1.0% compared to 0.6% in Danville.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 16.8% in Danville.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 12.1% in Danville.
- A higher percentage of residents in Danville hold a bachelor's degree or higher at 16.1% compared to 8.4% in Monett.
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.