Demographics details for West milton, PA vs Florence, OR
Population Overview
Compare main population characteristics in West milton, PA vs Florence, OR.
Data | West milton | Florence |
---|---|---|
Population | 657 | 9,376 |
Median Age | 70.8 years | 57.7 years |
Median Income | $33,514 | $57,568 |
Married Families | 62.0% | 42.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: West milton vs Florence
- The population in Florence is higher at 9,376, compared to 657 in West milton.
- Residents in West milton have a higher median age of 70.8 years compared to 57.7 years in Florence.
- Florence has a higher median income of $57,568, compared to $33,514 in West milton.
- A higher percentage of married families is found in West milton at 62.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 0% in West milton.
- Florence has a higher unemployment rate at 4.5% compared to 4.2% in West milton.
Demographics
Demographics West milton vs Florence provide insight into the diversity of the communities to compare.
Demographic | West milton | Florence |
---|---|---|
Black | Data is updating | 2 |
White | 78 | 87 |
Asian | 11 | 2 |
Hispanic | 11 | 5 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: West milton vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in West milton.
- The percentage of White residents is higher in Florence at 87% compared to 78% in West milton.
- The Asian population is larger in West milton at 11% compared to 2% in Florence.
- The Hispanic community is larger in West milton at 11% compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Florence at 3%, compared to 0% in West milton.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in West milton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West milton | Florence |
---|---|---|
Mental Health Not Good | 17.1% | 19.8% |
Physical Health Not Good | 11.6% | 13.1% |
Depression | 22.9% | 29.2% |
Smoking | 19.2% | 16.7% |
Binge Drinking | 18.3% | 17.0% |
Obesity | 34.0% | 36.0% |
Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: West milton vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 17.1% in West milton.
- Higher depression rates are seen in Florence at 29.2% versus 22.9% in West milton.
- Smoking is more prevalent in West milton at 19.2% compared to 16.7% in Florence.
- Binge drinking is more common in West milton at 18.3% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 34.0% in West milton.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 16.0% in West milton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West milton | Florence |
---|---|---|
No Schooling | 11.4% (75) | 0.4% (35) |
High School Diploma | 38.1% (250) | 14.2% (1,331) |
Less than High School | 56.9% (374) | 15.6% (1,467) |
Bachelor's Degree and Higher | 12.5% (82) | 19.9% (1,865) |
Education Levels Comparison: West milton vs Florence
- A higher percentage of residents in West milton have no formal schooling at 11.4% compared to 0.4% in Florence.
- A higher percentage of residents in West milton hold a high school diploma at 38.1% compared to 14.2% in Florence.
- More residents in West milton have less than a high school education at 56.9% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 12.5% in West milton.
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.