Demographics details for Chester, IA vs Springville, UT
Population Overview
Compare main population characteristics in Chester, IA vs Springville, UT.
Data | Chester | Springville |
---|---|---|
Population | 138 | 35,832 |
Median Age | 38.5 years | 26.9 years |
Median Income | $52,083 | $84,699 |
Married Families | 44.0% | 42.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Chester vs Springville
- The population in Springville is higher at 35,832, compared to 138 in Chester.
- Residents in Chester have a higher median age of 38.5 years compared to 26.9 years in Springville.
- Springville has a higher median income of $84,699, compared to $52,083 in Chester.
- A higher percentage of married families is found in Chester at 44.0% compared to 42.0% in Springville.
- The poverty level is identical in both Chester and Springville at 5%.
- Springville has a higher unemployment rate at 3.6% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Springville provide insight into the diversity of the communities to compare.
Demographic | Chester | Springville |
---|---|---|
Black | Data is updating | Data is updating |
White | 98 | 78 |
Asian | Data is updating | 1 |
Hispanic | 1 | 16 |
Two or More Races | 1 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Springville
- The percentage of Black residents is the same in both Chester and Springville at 0%.
- Chester has a higher percentage of White residents at 98% compared to 78% in Springville.
- In Springville, the Asian population stands at 1%, greater than 0% in Chester.
- Springville has a higher percentage of Hispanic residents at 16%, compared to 1% in Chester.
- The percentage of residents identifying as two or more races is higher in Springville at 5%, compared to 1% in Chester.
- The percentage of American Indian residents is the same in both Chester and Springville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chester | Springville |
---|---|---|
Mental Health Not Good | 15.9% | 14.9% |
Physical Health Not Good | 10.7% | 10.6% |
Depression | 18.7% | 23.8% |
Smoking | 20.1% | 7.5% |
Binge Drinking | 21.8% | 8.2% |
Obesity | 36.4% | 30.9% |
Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Chester vs Springville
- More residents in Chester report poor mental health at 15.9% compared to 14.9% in Springville.
- Higher depression rates are seen in Springville at 23.8% versus 18.7% in Chester.
- Smoking is more prevalent in Chester at 20.1% compared to 7.5% in Springville.
- Binge drinking is more common in Chester at 21.8% compared to 8.2% in Springville.
- Obesity rates are higher in Chester at 36.4% compared to 30.9% in Springville.
- There is a higher percentage of disabled individuals in Springville at 10.0% compared to 9.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chester | Springville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (141) |
High School Diploma | 25.4% (35) | 9.2% (3,312) |
Less than High School | 13.0% (18) | 5.2% (1,867) |
Bachelor's Degree and Higher | 5.8% (8) | 20.7% (7,419) |
Education Levels Comparison: Chester vs Springville
- In Springville, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Chester.
- A higher percentage of residents in Chester hold a high school diploma at 25.4% compared to 9.2% in Springville.
- More residents in Chester have less than a high school education at 13.0% compared to 5.2% in Springville.
- In Springville, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 5.8% 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.