Demographics details for Paris, KY vs Cypress inn, TN
Population Overview
Compare main population characteristics in Paris, KY vs Cypress inn, TN.
Data | Paris | Cypress inn |
---|---|---|
Population | 10,075 | 149 |
Median Age | 36.6 years | 36.0 years |
Median Income | $46,752 | $45,000 |
Married Families | 32.0% | 45.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Paris vs Cypress inn
- In Paris, the population is higher at 10,075, compared to 149 in Cypress inn.
- Residents in Paris have a higher median age of 36.6 years compared to 36.0 years in Cypress inn.
- Paris has a higher median income of $46,752 compared to $45,000 in Cypress inn.
- In Cypress inn, the percentage of married families is higher at 45.0%, compared to 32.0% in Paris.
- The poverty level is identical in both Paris and Cypress inn at 12%.
- The unemployment rate in Paris is higher at 4.2%, compared to 3.5% in Cypress inn.
Demographics
Demographics Paris vs Cypress inn provide insight into the diversity of the communities to compare.
Demographic | Paris | Cypress inn |
---|---|---|
Black | 8 | 5 |
White | 79 | 90 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | 3 |
Two or More Races | 7 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Paris vs Cypress inn
- A higher percentage of Black residents are in Paris at 8% compared to 5% in Cypress inn.
- The percentage of White residents is higher in Cypress inn at 90% compared to 79% in Paris.
- Both Paris and Cypress inn have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Paris at 5% compared to 3% in Cypress inn.
- More residents identify as two or more races in Paris at 7% compared to 2% in Cypress inn.
- A greater percentage of American Indian residents live in Paris at 1% compared to 0% in Cypress inn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Paris | Cypress inn |
---|---|---|
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 Cypress inn
- More residents in Paris report poor mental health at 19.9% compared to 0.0% in Cypress inn.
- Depression is more prevalent in Paris at 27.5% compared to 0.0% in Cypress inn.
- Smoking is more prevalent in Paris at 23.5% compared to 0.0% in Cypress inn.
- Binge drinking is more common in Paris at 14.2% compared to 0.0% in Cypress inn.
- Obesity rates are higher in Paris at 38.8% compared to 0.0% in Cypress inn.
- Disability percentages are higher in Paris at 19.0% compared to 0.0% in Cypress inn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Paris | Cypress inn |
---|---|---|
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 Cypress inn
- A higher percentage of residents in Paris have no formal schooling at 4.2% compared to 0.0% in Cypress inn.
- A higher percentage of residents in Paris hold a high school diploma at 17.8% compared to 0.0% in Cypress inn.
- More residents in Paris have less than a high school education at 20.9% compared to 0.0% in Cypress inn.
- A higher percentage of residents in Paris hold a bachelor's degree or higher at 13.5% compared to 0.0% in Cypress inn.
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.