Demographics details for Shabbona, IL vs Pittsfield, NH
Population Overview
Compare main population characteristics in Shabbona, IL vs Pittsfield, NH.
Data | Shabbona | Pittsfield |
---|---|---|
Population | 850 | 4,140 |
Median Age | 53.7 years | 42.0 years |
Median Income | $60,625 | $64,600 |
Married Families | 34.0% | 33.0% |
Poverty Level | 8% | 8% |
Unemployment Rate | 5.1 | 2.6 |
Population Comparison: Shabbona vs Pittsfield
- The population in Pittsfield is higher at 4,140, compared to 850 in Shabbona.
- Residents in Shabbona have a higher median age of 53.7 years compared to 42.0 years in Pittsfield.
- Pittsfield has a higher median income of $64,600, compared to $60,625 in Shabbona.
- A higher percentage of married families is found in Shabbona at 34.0% compared to 33.0% in Pittsfield.
- The poverty level is identical in both Shabbona and Pittsfield at 8%.
- The unemployment rate in Shabbona is higher at 5.1%, compared to 2.6% in Pittsfield.
Demographics
Demographics Shabbona vs Pittsfield provide insight into the diversity of the communities to compare.
Demographic | Shabbona | Pittsfield |
---|---|---|
Black | 1 | Data is updating |
White | 94 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | Data is updating |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Shabbona vs Pittsfield
- A higher percentage of Black residents are in Shabbona at 1% compared to 0% in Pittsfield.
- The percentage of White residents is higher in Pittsfield at 100% compared to 94% in Shabbona.
- Both Shabbona and Pittsfield have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Shabbona at 3% compared to 0% in Pittsfield.
- More residents identify as two or more races in Shabbona at 2% compared to 0% in Pittsfield.
- The percentage of American Indian residents is the same in both Shabbona and Pittsfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shabbona | Pittsfield |
---|---|---|
Mental Health Not Good | 16.2% | Data is updating% |
Physical Health Not Good | 10.5% | Data is updating% |
Depression | 22.1% | Data is updating% |
Smoking | 16.5% | Data is updating% |
Binge Drinking | 18.8% | Data is updating% |
Obesity | 36.3% | Data is updating% |
Disability Percentage | 24.0% | Data is updating% |
Health Statistics Comparison: Shabbona vs Pittsfield
- More residents in Shabbona report poor mental health at 16.2% compared to 0.0% in Pittsfield.
- Depression is more prevalent in Shabbona at 22.1% compared to 0.0% in Pittsfield.
- Smoking is more prevalent in Shabbona at 16.5% compared to 0.0% in Pittsfield.
- Binge drinking is more common in Shabbona at 18.8% compared to 0.0% in Pittsfield.
- Obesity rates are higher in Shabbona at 36.3% compared to 0.0% in Pittsfield.
- Disability percentages are higher in Shabbona at 24.0% compared to 0.0% in Pittsfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shabbona | Pittsfield |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 22.1% (188) | 0.0% (Data is updating) |
Less than High School | 7.6% (65) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.2% (104) | 0.0% (Data is updating) |
Education Levels Comparison: Shabbona vs Pittsfield
- The percentage of residents with no formal schooling is the same in both Shabbona and Pittsfield at 0.0%.
- A higher percentage of residents in Shabbona hold a high school diploma at 22.1% compared to 0.0% in Pittsfield.
- More residents in Shabbona have less than a high school education at 7.6% compared to 0.0% in Pittsfield.
- A higher percentage of residents in Shabbona hold a bachelor's degree or higher at 12.2% compared to 0.0% in Pittsfield.
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.