Demographics details for Paris, IL vs Broken bow, NE
Population Overview
Compare main population characteristics in Paris, IL vs Broken bow, NE.
| Data | Paris | Broken bow |
|---|---|---|
| Population | 8,084 | 3,474 |
| Median Age | 41.8 years | 41.4 years |
| Median Income | $50,080 | $49,425 |
| Married Families | 46.0% | 40.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 6.5 | 2.5 |
Population Comparison: Paris vs Broken bow
- In Paris, the population is higher at 8,084, compared to 3,474 in Broken bow.
- Residents in Paris have a higher median age of 41.8 years compared to 41.4 years in Broken bow.
- Paris has a higher median income of $50,080 compared to $49,425 in Broken bow.
- A higher percentage of married families is found in Paris at 46.0% compared to 40.0% in Broken bow.
- Paris has a higher poverty level at 12% compared to 11% in Broken bow.
- The unemployment rate in Paris is higher at 6.5%, compared to 2.5% in Broken bow.
Demographics
Demographics Paris vs Broken bow provide insight into the diversity of the communities to compare.
| Demographic | Paris | Broken bow |
|---|---|---|
| Black | 1 | 2 |
| White | 96 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 6 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paris vs Broken bow
- In Broken bow, the percentage of Black residents is higher at 2% compared to 1% in Paris.
- Paris has a higher percentage of White residents at 96% compared to 88% in Broken bow.
- Both Paris and Broken bow have the same percentage of Asian residents at 0%.
- Broken bow 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 Broken bow at 4%, compared to 1% in Paris.
- The percentage of American Indian residents is the same in both Paris and Broken bow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paris | Broken bow |
|---|---|---|
| Mental Health Not Good | 17.1% | 14.2% |
| Physical Health Not Good | 11.6% | 10.0% |
| Depression | 22.9% | 17.1% |
| Smoking | 18.8% | 16.3% |
| Binge Drinking | 18.0% | 20.7% |
| Obesity | 36.1% | 38.2% |
| Disability Percentage | 20.0% | 19.0% |
Health Statistics Comparison: Paris vs Broken bow
- More residents in Paris report poor mental health at 17.1% compared to 14.2% in Broken bow.
- Depression is more prevalent in Paris at 22.9% compared to 17.1% in Broken bow.
- Smoking is more prevalent in Paris at 18.8% compared to 16.3% in Broken bow.
- More residents engage in binge drinking in Broken bow at 20.7% compared to 18.0% in Paris.
- Broken bow has higher obesity rates at 38.2% compared to 36.1% in Paris.
- Disability percentages are higher in Paris at 20.0% compared to 19.0% in Broken bow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paris | Broken bow |
|---|---|---|
| No Schooling | 1.9% (157) | 1.2% (42) |
| High School Diploma | 23.3% (1,881) | 19.8% (689) |
| Less than High School | 25.1% (2,033) | 7.3% (253) |
| Bachelor's Degree and Higher | 12.8% (1,035) | 14.7% (512) |
Education Levels Comparison: Paris vs Broken bow
- A higher percentage of residents in Paris have no formal schooling at 1.9% compared to 1.2% in Broken bow.
- A higher percentage of residents in Paris hold a high school diploma at 23.3% compared to 19.8% in Broken bow.
- More residents in Paris have less than a high school education at 25.1% compared to 7.3% in Broken bow.
- In Broken bow, a larger share of residents have a bachelor's degree or higher at 14.7% compared to 12.8% in Paris.
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.