Demographics details for Paris, IL vs Belle fourche, SD
Population Overview
Compare main population characteristics in Paris, IL vs Belle fourche, SD.
Data | Paris | Belle fourche |
---|---|---|
Population | 8,084 | 5,848 |
Median Age | 41.8 years | 36.0 years |
Median Income | $50,080 | $55,448 |
Married Families | 46.0% | 38.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 6.5 | 2.5 |
Population Comparison: Paris vs Belle fourche
- In Paris, the population is higher at 8,084, compared to 5,848 in Belle fourche.
- Residents in Paris have a higher median age of 41.8 years compared to 36.0 years in Belle fourche.
- Belle fourche has a higher median income of $55,448, compared to $50,080 in Paris.
- A higher percentage of married families is found in Paris at 46.0% compared to 38.0% in Belle fourche.
- The poverty level is identical in both Paris and Belle fourche at 12%.
- The unemployment rate in Paris is higher at 6.5%, compared to 2.5% in Belle fourche.
Demographics
Demographics Paris vs Belle fourche provide insight into the diversity of the communities to compare.
Demographic | Paris | Belle fourche |
---|---|---|
Black | 1 | Data is updating |
White | 96 | 85 |
Asian | Data is updating | 1 |
Hispanic | 2 | 6 |
Two or More Races | 1 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Paris vs Belle fourche
- A higher percentage of Black residents are in Paris at 1% compared to 0% in Belle fourche.
- Paris has a higher percentage of White residents at 96% compared to 85% in Belle fourche.
- In Belle fourche, the Asian population stands at 1%, greater than 0% in Paris.
- Belle fourche has a higher percentage of Hispanic residents at 6%, compared to 2% in Paris.
- The percentage of residents identifying as two or more races is higher in Belle fourche at 7%, compared to 1% in Paris.
- In Belle fourche, the percentage of American Indian residents is higher at 1%, compared to 0% in Paris.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Paris | Belle fourche |
---|---|---|
Mental Health Not Good | 17.1% | 14.5% |
Physical Health Not Good | 11.6% | 10.3% |
Depression | 22.9% | 19.1% |
Smoking | 18.8% | 19.4% |
Binge Drinking | 18.0% | 19.5% |
Obesity | 36.1% | 37.7% |
Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Paris vs Belle fourche
- More residents in Paris report poor mental health at 17.1% compared to 14.5% in Belle fourche.
- Depression is more prevalent in Paris at 22.9% compared to 19.1% in Belle fourche.
- Belle fourche has a higher smoking rate at 19.4% compared to 18.8% in Paris.
- More residents engage in binge drinking in Belle fourche at 19.5% compared to 18.0% in Paris.
- Belle fourche has higher obesity rates at 37.7% compared to 36.1% in Paris.
- Disability percentages are higher in Paris at 20.0% compared to 15.0% in Belle fourche.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Paris | Belle fourche |
---|---|---|
No Schooling | 1.9% (157) | 1.3% (78) |
High School Diploma | 23.3% (1,881) | 18.5% (1,082) |
Less than High School | 25.1% (2,033) | 18.5% (1,081) |
Bachelor's Degree and Higher | 12.8% (1,035) | 9.4% (550) |
Education Levels Comparison: Paris vs Belle fourche
- A higher percentage of residents in Paris have no formal schooling at 1.9% compared to 1.3% in Belle fourche.
- A higher percentage of residents in Paris hold a high school diploma at 23.3% compared to 18.5% in Belle fourche.
- More residents in Paris have less than a high school education at 25.1% compared to 18.5% in Belle fourche.
- A higher percentage of residents in Paris hold a bachelor's degree or higher at 12.8% compared to 9.4% in Belle fourche.
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.