Demographics details for Pepperell, MA vs Scott city, KS
Population Overview
Compare main population characteristics in Pepperell, MA vs Scott city, KS.
Data | Pepperell | Scott city |
---|---|---|
Population | 2,205 | 4,008 |
Median Age | 47.6 years | 36.0 years |
Median Income | $91,406 | $47,217 |
Married Families | 42.0% | 44.0% |
Poverty Level | 7% | 10% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Pepperell vs Scott city
- The population in Scott city is higher at 4,008, compared to 2,205 in Pepperell.
- Residents in Pepperell have a higher median age of 47.6 years compared to 36.0 years in Scott city.
- Pepperell has a higher median income of $91,406 compared to $47,217 in Scott city.
- In Scott city, the percentage of married families is higher at 44.0%, compared to 42.0% in Pepperell.
- The poverty level is higher in Scott city at 10%, compared to 7% in Pepperell.
- Scott city has a higher unemployment rate at 4.0% compared to 3.5% in Pepperell.
Demographics
Demographics Pepperell vs Scott city provide insight into the diversity of the communities to compare.
Demographic | Pepperell | Scott city |
---|---|---|
Black | 2 | Data is updating |
White | 76 | 69 |
Asian | 6 | 1 |
Hispanic | 8 | 25 |
Two or More Races | 8 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pepperell vs Scott city
- A higher percentage of Black residents are in Pepperell at 2% compared to 0% in Scott city.
- Pepperell has a higher percentage of White residents at 76% compared to 69% in Scott city.
- The Asian population is larger in Pepperell at 6% compared to 1% in Scott city.
- Scott city has a higher percentage of Hispanic residents at 25%, compared to 8% in Pepperell.
- More residents identify as two or more races in Pepperell at 8% compared to 5% in Scott city.
- The percentage of American Indian residents is the same in both Pepperell and Scott city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pepperell | Scott city |
---|---|---|
Mental Health Not Good | 15.2% | 15.6% |
Physical Health Not Good | 9.1% | 10.3% |
Depression | 22.9% | 19.7% |
Smoking | 11.8% | 17.6% |
Binge Drinking | 20.3% | 19.2% |
Obesity | 25.5% | 38.1% |
Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Pepperell vs Scott city
- In Scott city, a higher percentage report poor mental health at 15.6% compared to 15.2% in Pepperell.
- Depression is more prevalent in Pepperell at 22.9% compared to 19.7% in Scott city.
- Scott city has a higher smoking rate at 17.6% compared to 11.8% in Pepperell.
- Binge drinking is more common in Pepperell at 20.3% compared to 19.2% in Scott city.
- Scott city has higher obesity rates at 38.1% compared to 25.5% in Pepperell.
- Disability percentages are higher in Pepperell at 18.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pepperell | Scott city |
---|---|---|
No Schooling | 0.6% (13) | 2.9% (116) |
High School Diploma | 21.9% (483) | 13.5% (543) |
Less than High School | 7.0% (154) | 24.2% (968) |
Bachelor's Degree and Higher | 27.3% (602) | 12.2% (490) |
Education Levels Comparison: Pepperell vs Scott city
- In Scott city, a larger percentage of residents lack formal schooling at 2.9% compared to 0.6% in Pepperell.
- A higher percentage of residents in Pepperell hold a high school diploma at 21.9% compared to 13.5% in Scott city.
- The percentage of residents with less than a high school education is higher in Scott city at 24.2%, compared to 7.0% in Pepperell.
- A higher percentage of residents in Pepperell hold a bachelor's degree or higher at 27.3% compared to 12.2% in Scott city.
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.