Demographics details for Eddyville, OR vs Waverly, TN

Population Overview

Compare main population characteristics in Eddyville, OR vs Waverly, TN.

Data Eddyville Waverly
Population 942 4,297
Median Age 54.6 years 46.7 years
Median Income $98,174 $43,750
Married Families 37.0% 35.0%
Poverty Level 12% 12%
Unemployment Rate 4.5 4.5

Population Comparison: Eddyville vs Waverly

  • The population in Waverly is higher at 4,297, compared to 942 in Eddyville.
  • Residents in Eddyville have a higher median age of 54.6 years compared to 46.7 years in Waverly.
  • Eddyville has a higher median income of $98,174 compared to $43,750 in Waverly.
  • A higher percentage of married families is found in Eddyville at 37.0% compared to 35.0% in Waverly.
  • The poverty level is identical in both Eddyville and Waverly at 12%.
  • The unemployment rate is the same in both Eddyville and Waverly at 4.5%.

Demographics

Demographics Eddyville vs Waverly provide insight into the diversity of the communities to compare.

Demographic Eddyville Waverly
Black Data is updating 2
White 76 91
Asian Data is updating Data is updating
Hispanic 9 2
Two or More Races 15 5
American Indian Data is updating Data is updating

Demographics Comparison: Eddyville vs Waverly

  • In Waverly, the percentage of Black residents is higher at 2% compared to 0% in Eddyville.
  • The percentage of White residents is higher in Waverly at 91% compared to 76% in Eddyville.
  • Both Eddyville and Waverly have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Eddyville at 9% compared to 2% in Waverly.
  • More residents identify as two or more races in Eddyville at 15% compared to 5% in Waverly.
  • The percentage of American Indian residents is the same in both Eddyville and Waverly at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Eddyville Waverly
Mental Health Not Good Data is updating% 19.9%
Physical Health Not Good Data is updating% 13.9%
Depression Data is updating% 28.8%
Smoking Data is updating% 23.6%
Binge Drinking Data is updating% 15.6%
Obesity Data is updating% 37.8%
Disability Percentage 17.0% 19.0%

Health Statistics Comparison: Eddyville vs Waverly

  • In Waverly, a higher percentage report poor mental health at 19.9% compared to 0.0% in Eddyville.
  • Higher depression rates are seen in Waverly at 28.8% versus 0.0% in Eddyville.
  • Waverly has a higher smoking rate at 23.6% compared to 0.0% in Eddyville.
  • More residents engage in binge drinking in Waverly at 15.6% compared to 0.0% in Eddyville.
  • Waverly has higher obesity rates at 37.8% compared to 0.0% in Eddyville.
  • There is a higher percentage of disabled individuals in Waverly at 19.0% compared to 17.0% in Eddyville.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Eddyville Waverly
No Schooling 0.0% (Data is updating) 1.0% (41)
High School Diploma 17.7% (167) 18.4% (792)
Less than High School 8.1% (76) 21.9% (943)
Bachelor's Degree and Higher 16.0% (151) 16.5% (709)

Education Levels Comparison: Eddyville vs Waverly

  • In Waverly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Eddyville.
  • In Waverly, the rate of residents with high school diplomas is higher at 18.4% compared to 17.7% in Eddyville.
  • The percentage of residents with less than a high school education is higher in Waverly at 21.9%, compared to 8.1% in Eddyville.
  • In Waverly, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 16.0% in Eddyville.

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.