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.