Demographics details for Chester, MA vs Papillion, NE
Population Overview
Compare main population characteristics in Chester, MA vs Papillion, NE.
Data | Chester | Papillion |
---|---|---|
Population | 1,337 | 23,794 |
Median Age | 41.0 years | 40.3 years |
Median Income | $78,889 | $104,608 |
Married Families | 64.0% | 49.0% |
Poverty Level | 4% | 5% |
Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Chester vs Papillion
- The population in Papillion is higher at 23,794, compared to 1,337 in Chester.
- Residents in Chester have a higher median age of 41.0 years compared to 40.3 years in Papillion.
- Papillion has a higher median income of $104,608, compared to $78,889 in Chester.
- A higher percentage of married families is found in Chester at 64.0% compared to 49.0% in Papillion.
- The poverty level is higher in Papillion at 5%, compared to 4% in Chester.
- The unemployment rate in Chester is higher at 3.3%, compared to 3.2% in Papillion.
Demographics
Demographics Chester vs Papillion provide insight into the diversity of the communities to compare.
Demographic | Chester | Papillion |
---|---|---|
Black | Data is updating | 3 |
White | 100 | 83 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 7 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Papillion
- In Papillion, the percentage of Black residents is higher at 3% compared to 0% in Chester.
- Chester has a higher percentage of White residents at 100% compared to 83% in Papillion.
- In Papillion, the Asian population stands at 2%, greater than 0% in Chester.
- Papillion has a higher percentage of Hispanic residents at 7%, compared to 0% in Chester.
- The percentage of residents identifying as two or more races is higher in Papillion at 5%, compared to 0% in Chester.
- The percentage of American Indian residents is the same in both Chester and Papillion at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chester | Papillion |
---|---|---|
Mental Health Not Good | Data is updating% | 12.4% |
Physical Health Not Good | Data is updating% | 7.6% |
Depression | Data is updating% | 17.5% |
Smoking | Data is updating% | 12.1% |
Binge Drinking | Data is updating% | 21.3% |
Obesity | Data is updating% | 36.3% |
Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Chester vs Papillion
- In Papillion, a higher percentage report poor mental health at 12.4% compared to 0.0% in Chester.
- Higher depression rates are seen in Papillion at 17.5% versus 0.0% in Chester.
- Papillion has a higher smoking rate at 12.1% compared to 0.0% in Chester.
- More residents engage in binge drinking in Papillion at 21.3% compared to 0.0% in Chester.
- Papillion has higher obesity rates at 36.3% compared to 0.0% in Chester.
- There is a higher percentage of disabled individuals in Papillion at 10.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chester | Papillion |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (48) |
High School Diploma | 0.0% (Data is updating) | 11.6% (2,751) |
Less than High School | 0.0% (Data is updating) | 3.8% (910) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 31.8% (7,575) |
Education Levels Comparison: Chester vs Papillion
- In Papillion, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Chester.
- In Papillion, the rate of residents with high school diplomas is higher at 11.6% compared to 0.0% in Chester.
- The percentage of residents with less than a high school education is higher in Papillion at 3.8%, compared to 0.0% in Chester.
- In Papillion, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 0.0% in Chester.
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.