Demographics details for Gwynedd valley, PA vs Monett, MO
Population Overview
Compare main population characteristics in Gwynedd valley, PA vs Monett, MO.
Data | Gwynedd valley | Monett |
---|---|---|
Population | 1,418 | 9,789 |
Median Age | 48.0 years | 34.7 years |
Median Income | $112,500 | $42,635 |
Married Families | 64.0% | 33.0% |
Poverty Level | 3% | 15% |
Unemployment Rate | 4.7 | 3.8 |
Population Comparison: Gwynedd valley vs Monett
- The population in Monett is higher at 9,789, compared to 1,418 in Gwynedd valley.
- Residents in Gwynedd valley have a higher median age of 48.0 years compared to 34.7 years in Monett.
- Gwynedd valley has a higher median income of $112,500 compared to $42,635 in Monett.
- A higher percentage of married families is found in Gwynedd valley at 64.0% compared to 33.0% in Monett.
- The poverty level is higher in Monett at 15%, compared to 3% in Gwynedd valley.
- The unemployment rate in Gwynedd valley is higher at 4.7%, compared to 3.8% in Monett.
Demographics
Demographics Gwynedd valley vs Monett provide insight into the diversity of the communities to compare.
Demographic | Gwynedd valley | Monett |
---|---|---|
Black | 1 | Data is updating |
White | 93 | 51 |
Asian | 3 | 2 |
Hispanic | 2 | 29 |
Two or More Races | 1 | 15 |
American Indian | Data is updating | 3 |
Demographics Comparison: Gwynedd valley vs Monett
- A higher percentage of Black residents are in Gwynedd valley at 1% compared to 0% in Monett.
- Gwynedd valley has a higher percentage of White residents at 93% compared to 51% in Monett.
- The Asian population is larger in Gwynedd valley at 3% compared to 2% in Monett.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 2% in Gwynedd valley.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 1% in Gwynedd valley.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Gwynedd valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gwynedd valley | Monett |
---|---|---|
Mental Health Not Good | Data is updating% | 18.9% |
Physical Health Not Good | Data is updating% | 14.4% |
Depression | Data is updating% | 25.3% |
Smoking | Data is updating% | 22.8% |
Binge Drinking | Data is updating% | 16.5% |
Obesity | Data is updating% | 41.0% |
Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Gwynedd valley vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 0.0% in Gwynedd valley.
- Higher depression rates are seen in Monett at 25.3% versus 0.0% in Gwynedd valley.
- Monett has a higher smoking rate at 22.8% compared to 0.0% in Gwynedd valley.
- More residents engage in binge drinking in Monett at 16.5% compared to 0.0% in Gwynedd valley.
- Monett has higher obesity rates at 41.0% compared to 0.0% in Gwynedd valley.
- There is a higher percentage of disabled individuals in Monett at 13.0% compared to 0.0% in Gwynedd valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gwynedd valley | Monett |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.0% (97) |
High School Diploma | 0.0% (Data is updating) | 20.5% (2,003) |
Less than High School | 0.0% (Data is updating) | 20.0% (1,953) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 8.4% (822) |
Education Levels Comparison: Gwynedd valley vs Monett
- In Monett, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Gwynedd valley.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 0.0% in Gwynedd valley.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 0.0% in Gwynedd valley.
- In Monett, a larger share of residents have a bachelor's degree or higher at 8.4% compared to 0.0% in Gwynedd valley.
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.