Demographics details for Chauncey, OH vs Pierre, SD
Population Overview
Compare main population characteristics in Chauncey, OH vs Pierre, SD.
Data | Chauncey | Pierre |
---|---|---|
Population | 949 | 13,969 |
Median Age | 45.9 years | 39.6 years |
Median Income | $33,803 | $80,473 |
Married Families | 24.0% | 38.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.5 | 2.6 |
Population Comparison: Chauncey vs Pierre
- The population in Pierre is higher at 13,969, compared to 949 in Chauncey.
- Residents in Chauncey have a higher median age of 45.9 years compared to 39.6 years in Pierre.
- Pierre has a higher median income of $80,473, compared to $33,803 in Chauncey.
- In Pierre, the percentage of married families is higher at 38.0%, compared to 24.0% in Chauncey.
- Chauncey has a higher poverty level at 12% compared to 10% in Pierre.
- The unemployment rate in Chauncey is higher at 4.5%, compared to 2.6% in Pierre.
Demographics
Demographics Chauncey vs Pierre provide insight into the diversity of the communities to compare.
Demographic | Chauncey | Pierre |
---|---|---|
Black | Data is updating | Data is updating |
White | 99 | 79 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 4 |
Two or More Races | 1 | 6 |
American Indian | Data is updating | 10 |
Demographics Comparison: Chauncey vs Pierre
- The percentage of Black residents is the same in both Chauncey and Pierre at 0%.
- Chauncey has a higher percentage of White residents at 99% compared to 79% in Pierre.
- In Pierre, the Asian population stands at 1%, greater than 0% in Chauncey.
- Pierre has a higher percentage of Hispanic residents at 4%, compared to 0% in Chauncey.
- The percentage of residents identifying as two or more races is higher in Pierre at 6%, compared to 1% in Chauncey.
- In Pierre, the percentage of American Indian residents is higher at 10%, compared to 0% in Chauncey.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chauncey | Pierre |
---|---|---|
Mental Health Not Good | 19.3% | 13.5% |
Physical Health Not Good | 14.2% | 9.2% |
Depression | 28.3% | 17.5% |
Smoking | 23.1% | 16.6% |
Binge Drinking | 17.6% | 19.7% |
Obesity | 38.9% | 36.2% |
Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Chauncey vs Pierre
- More residents in Chauncey report poor mental health at 19.3% compared to 13.5% in Pierre.
- Depression is more prevalent in Chauncey at 28.3% compared to 17.5% in Pierre.
- Smoking is more prevalent in Chauncey at 23.1% compared to 16.6% in Pierre.
- More residents engage in binge drinking in Pierre at 19.7% compared to 17.6% in Chauncey.
- Obesity rates are higher in Chauncey at 38.9% compared to 36.2% in Pierre.
- Disability percentages are higher in Chauncey at 21.0% compared to 13.0% in Pierre.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chauncey | Pierre |
---|---|---|
No Schooling | 1.5% (14) | 0.2% (23) |
High School Diploma | 27.6% (262) | 15.8% (2,201) |
Less than High School | 19.9% (189) | 3.5% (495) |
Bachelor's Degree and Higher | 7.1% (67) | 24.2% (3,384) |
Education Levels Comparison: Chauncey vs Pierre
- A higher percentage of residents in Chauncey have no formal schooling at 1.5% compared to 0.2% in Pierre.
- A higher percentage of residents in Chauncey hold a high school diploma at 27.6% compared to 15.8% in Pierre.
- More residents in Chauncey have less than a high school education at 19.9% compared to 3.5% in Pierre.
- In Pierre, a larger share of residents have a bachelor's degree or higher at 24.2% compared to 7.1% in Chauncey.
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.