Demographics details for Florence, OR vs Cypress inn, TN
Population Overview
Compare main population characteristics in Florence, OR vs Cypress inn, TN.
Data | Florence | Cypress inn |
---|---|---|
Population | 9,376 | 149 |
Median Age | 57.7 years | 36.0 years |
Median Income | $57,568 | $45,000 |
Married Families | 42.0% | 45.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Florence vs Cypress inn
- In Florence, the population is higher at 9,376, compared to 149 in Cypress inn.
- Residents in Florence have a higher median age of 57.7 years compared to 36.0 years in Cypress inn.
- Florence has a higher median income of $57,568 compared to $45,000 in Cypress inn.
- In Cypress inn, the percentage of married families is higher at 45.0%, compared to 42.0% in Florence.
- The poverty level is higher in Cypress inn at 12%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 3.5% in Cypress inn.
Demographics
Demographics Florence vs Cypress inn provide insight into the diversity of the communities to compare.
Demographic | Florence | Cypress inn |
---|---|---|
Black | 2 | 5 |
White | 87 | 90 |
Asian | 2 | Data is updating |
Hispanic | 5 | 3 |
Two or More Races | 3 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Cypress inn
- In Cypress inn, the percentage of Black residents is higher at 5% compared to 2% in Florence.
- The percentage of White residents is higher in Cypress inn at 90% compared to 87% in Florence.
- The Asian population is larger in Florence at 2% compared to 0% in Cypress inn.
- The Hispanic community is larger in Florence at 5% compared to 3% in Cypress inn.
- More residents identify as two or more races in Florence at 3% compared to 2% in Cypress inn.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Cypress inn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Florence | Cypress inn |
---|---|---|
Mental Health Not Good | 19.8% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 29.2% | Data is updating% |
Smoking | 16.7% | Data is updating% |
Binge Drinking | 17.0% | Data is updating% |
Obesity | 36.0% | Data is updating% |
Disability Percentage | 25.0% | Data is updating% |
Health Statistics Comparison: Florence vs Cypress inn
- More residents in Florence report poor mental health at 19.8% compared to 0.0% in Cypress inn.
- Depression is more prevalent in Florence at 29.2% compared to 0.0% in Cypress inn.
- Smoking is more prevalent in Florence at 16.7% compared to 0.0% in Cypress inn.
- Binge drinking is more common in Florence at 17.0% compared to 0.0% in Cypress inn.
- Obesity rates are higher in Florence at 36.0% compared to 0.0% in Cypress inn.
- Disability percentages are higher in Florence at 25.0% 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 | Florence | Cypress inn |
---|---|---|
No Schooling | 0.4% (35) | 0.0% (Data is updating) |
High School Diploma | 14.2% (1,331) | 0.0% (Data is updating) |
Less than High School | 15.6% (1,467) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 19.9% (1,865) | 0.0% (Data is updating) |
Education Levels Comparison: Florence vs Cypress inn
- A higher percentage of residents in Florence have no formal schooling at 0.4% compared to 0.0% in Cypress inn.
- A higher percentage of residents in Florence hold a high school diploma at 14.2% compared to 0.0% in Cypress inn.
- More residents in Florence have less than a high school education at 15.6% compared to 0.0% in Cypress inn.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% 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.