Demographics details for Paris, TN vs Wichita falls, TX
Population Overview
Compare main population characteristics in Paris, TN vs Wichita falls, TX.
| Data | Paris | Wichita falls |
|---|---|---|
| Population | 10,339 | 102,664 |
| Median Age | 39.4 years | 32.8 years |
| Median Income | $39,378 | $55,584 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 4.5 | 4.9 |
Population Comparison: Paris vs Wichita falls
- The population in Wichita falls is higher at 102,664, compared to 10,339 in Paris.
- Residents in Paris have a higher median age of 39.4 years compared to 32.8 years in Wichita falls.
- Wichita falls has a higher median income of $55,584, compared to $39,378 in Paris.
- In Wichita falls, the percentage of married families is higher at 34.0%, compared to 32.0% in Paris.
- The poverty level is higher in Wichita falls at 14%, compared to 12% in Paris.
- Wichita falls has a higher unemployment rate at 4.9% compared to 4.5% in Paris.
Demographics
Demographics Paris vs Wichita falls provide insight into the diversity of the communities to compare.
| Demographic | Paris | Wichita falls |
|---|---|---|
| Black | 18 | 12 |
| White | 74 | 54 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 22 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Paris vs Wichita falls
- A higher percentage of Black residents are in Paris at 18% compared to 12% in Wichita falls.
- Paris has a higher percentage of White residents at 74% compared to 54% in Wichita falls.
- In Wichita falls, the Asian population stands at 3%, greater than 0% in Paris.
- Wichita falls has a higher percentage of Hispanic residents at 22%, compared to 3% in Paris.
- The percentage of residents identifying as two or more races is higher in Wichita falls at 8%, compared to 5% in Paris.
- In Wichita falls, 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 | Wichita falls |
|---|---|---|
| Mental Health Not Good | 22.4% | 18.3% |
| Physical Health Not Good | 16.3% | 12.5% |
| Depression | 29.4% | 24.6% |
| Smoking | 28.0% | 18.6% |
| Binge Drinking | 13.8% | 18.7% |
| Obesity | 41.9% | 37.1% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Paris vs Wichita falls
- More residents in Paris report poor mental health at 22.4% compared to 18.3% in Wichita falls.
- Depression is more prevalent in Paris at 29.4% compared to 24.6% in Wichita falls.
- Smoking is more prevalent in Paris at 28.0% compared to 18.6% in Wichita falls.
- More residents engage in binge drinking in Wichita falls at 18.7% compared to 13.8% in Paris.
- Obesity rates are higher in Paris at 41.9% compared to 37.1% in Wichita falls.
- Disability percentages are higher in Paris at 23.0% compared to 13.0% in Wichita falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paris | Wichita falls |
|---|---|---|
| No Schooling | 1.0% (104) | 1.0% (1,035) |
| High School Diploma | 25.5% (2,641) | 15.1% (15,510) |
| Less than High School | 18.7% (1,935) | 14.6% (14,970) |
| Bachelor's Degree and Higher | 13.7% (1,419) | 15.1% (15,550) |
Education Levels Comparison: Paris vs Wichita falls
- The percentage of residents with no formal schooling is the same in both Paris and Wichita falls at 1.0%.
- A higher percentage of residents in Paris hold a high school diploma at 25.5% compared to 15.1% in Wichita falls.
- More residents in Paris have less than a high school education at 18.7% compared to 14.6% in Wichita falls.
- In Wichita falls, a larger share of residents have a bachelor's degree or higher at 15.1% compared to 13.7% 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.