Demographics details for Paris, KY vs Big stone city, SD
Population Overview
Compare main population characteristics in Paris, KY vs Big stone city, SD.
Data | Paris | Big stone city |
---|---|---|
Population | 10,075 | 467 |
Median Age | 36.6 years | 36.0 years |
Median Income | $46,752 | $68,500 |
Married Families | 32.0% | 50.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 4.2 | 2.5 |
Population Comparison: Paris vs Big stone city
- In Paris, the population is higher at 10,075, compared to 467 in Big stone city.
- Residents in Paris have a higher median age of 36.6 years compared to 36.0 years in Big stone city.
- Big stone city has a higher median income of $68,500, compared to $46,752 in Paris.
- In Big stone city, the percentage of married families is higher at 50.0%, compared to 32.0% in Paris.
- Paris has a higher poverty level at 12% compared to 8% in Big stone city.
- The unemployment rate in Paris is higher at 4.2%, compared to 2.5% in Big stone city.
Demographics
Demographics Paris vs Big stone city provide insight into the diversity of the communities to compare.
Demographic | Paris | Big stone city |
---|---|---|
Black | 8 | Data is updating |
White | 79 | 95 |
Asian | Data is updating | 2 |
Hispanic | 5 | 1 |
Two or More Races | 7 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Paris vs Big stone city
- A higher percentage of Black residents are in Paris at 8% compared to 0% in Big stone city.
- The percentage of White residents is higher in Big stone city at 95% compared to 79% in Paris.
- In Big stone city, the Asian population stands at 2%, greater than 0% in Paris.
- The Hispanic community is larger in Paris at 5% compared to 1% in Big stone city.
- More residents identify as two or more races in Paris at 7% compared to 2% in Big stone city.
- A greater percentage of American Indian residents live in Paris at 1% compared to 0% in Big stone city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Paris | Big stone city |
---|---|---|
Mental Health Not Good | 19.9% | Data is updating% |
Physical Health Not Good | 15.0% | Data is updating% |
Depression | 27.5% | Data is updating% |
Smoking | 23.5% | Data is updating% |
Binge Drinking | 14.2% | Data is updating% |
Obesity | 38.8% | Data is updating% |
Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Paris vs Big stone city
- More residents in Paris report poor mental health at 19.9% compared to 0.0% in Big stone city.
- Depression is more prevalent in Paris at 27.5% compared to 0.0% in Big stone city.
- Smoking is more prevalent in Paris at 23.5% compared to 0.0% in Big stone city.
- Binge drinking is more common in Paris at 14.2% compared to 0.0% in Big stone city.
- Obesity rates are higher in Paris at 38.8% compared to 0.0% in Big stone city.
- Disability percentages are higher in Paris at 19.0% compared to 0.0% in Big stone city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Paris | Big stone city |
---|---|---|
No Schooling | 4.2% (424) | 0.0% (Data is updating) |
High School Diploma | 17.8% (1,790) | 0.0% (Data is updating) |
Less than High School | 20.9% (2,105) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.5% (1,365) | 0.0% (Data is updating) |
Education Levels Comparison: Paris vs Big stone city
- A higher percentage of residents in Paris have no formal schooling at 4.2% compared to 0.0% in Big stone city.
- A higher percentage of residents in Paris hold a high school diploma at 17.8% compared to 0.0% in Big stone city.
- More residents in Paris have less than a high school education at 20.9% compared to 0.0% in Big stone city.
- A higher percentage of residents in Paris hold a bachelor's degree or higher at 13.5% compared to 0.0% in Big stone 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.