Demographics details for Weymouth, MA vs Jim falls, WI
Population Overview
Compare main population characteristics in Weymouth, MA vs Jim falls, WI.
Data | Weymouth | Jim falls |
---|---|---|
Population | 57,410 | 219 |
Median Age | 44.3 years | 40.6 years |
Median Income | $95,879 | $87,143 |
Married Families | 43.0% | 53.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.9 | 4.2 |
Population Comparison: Weymouth vs Jim falls
- In Weymouth, the population is higher at 57,410, compared to 219 in Jim falls.
- Residents in Weymouth have a higher median age of 44.3 years compared to 40.6 years in Jim falls.
- Weymouth has a higher median income of $95,879 compared to $87,143 in Jim falls.
- In Jim falls, the percentage of married families is higher at 53.0%, compared to 43.0% in Weymouth.
- The poverty level is identical in both Weymouth and Jim falls at 5%.
- Jim falls has a higher unemployment rate at 4.2% compared to 3.9% in Weymouth.
Demographics
Demographics Weymouth vs Jim falls provide insight into the diversity of the communities to compare.
Demographic | Weymouth | Jim falls |
---|---|---|
Black | 5 | Data is updating |
White | 80 | 100 |
Asian | 7 | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Weymouth vs Jim falls
- A higher percentage of Black residents are in Weymouth at 5% compared to 0% in Jim falls.
- The percentage of White residents is higher in Jim falls at 100% compared to 80% in Weymouth.
- The Asian population is larger in Weymouth at 7% compared to 0% in Jim falls.
- The Hispanic community is larger in Weymouth at 4% compared to 0% in Jim falls.
- More residents identify as two or more races in Weymouth at 4% compared to 0% in Jim falls.
- The percentage of American Indian residents is the same in both Weymouth and Jim falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Weymouth | Jim falls |
---|---|---|
Mental Health Not Good | 15.6% | 15.4% |
Physical Health Not Good | 9.2% | 10.2% |
Depression | 22.5% | 24.5% |
Smoking | 13.4% | 17.2% |
Binge Drinking | 20.1% | 25.0% |
Obesity | 26.5% | 34.0% |
Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Weymouth vs Jim falls
- More residents in Weymouth report poor mental health at 15.6% compared to 15.4% in Jim falls.
- Higher depression rates are seen in Jim falls at 24.5% versus 22.5% in Weymouth.
- Jim falls has a higher smoking rate at 17.2% compared to 13.4% in Weymouth.
- More residents engage in binge drinking in Jim falls at 25.0% compared to 20.1% in Weymouth.
- Jim falls has higher obesity rates at 34.0% compared to 26.5% in Weymouth.
- There is a higher percentage of disabled individuals in Jim falls at 15.0% compared to 11.0% in Weymouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Weymouth | Jim falls |
---|---|---|
No Schooling | 1.0% (580) | 0.0% (Data is updating) |
High School Diploma | 17.4% (10,001) | 14.2% (31) |
Less than High School | 6.9% (3,967) | 13.7% (30) |
Bachelor's Degree and Higher | 30.9% (17,724) | 21.5% (47) |
Education Levels Comparison: Weymouth vs Jim falls
- A higher percentage of residents in Weymouth have no formal schooling at 1.0% compared to 0.0% in Jim falls.
- A higher percentage of residents in Weymouth hold a high school diploma at 17.4% compared to 14.2% in Jim falls.
- The percentage of residents with less than a high school education is higher in Jim falls at 13.7%, compared to 6.9% in Weymouth.
- A higher percentage of residents in Weymouth hold a bachelor's degree or higher at 30.9% compared to 21.5% in Jim falls.
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.