Demographics details for Isabella, OK vs Waverly, TN

Population Overview

Compare main population characteristics in Isabella, OK vs Waverly, TN.

Data Isabella Waverly
Population 86 4,297
Median Age 28.6 years 46.7 years
Median Income $56,550 $43,750
Married Families 42.0% 35.0%
Poverty Level 10% 12%
Unemployment Rate 2.5 4.5

Population Comparison: Isabella vs Waverly

  • The population in Waverly is higher at 4,297, compared to 86 in Isabella.
  • The median age in Waverly is higher at 46.7 years, compared to 28.6 years in Isabella.
  • Isabella has a higher median income of $56,550 compared to $43,750 in Waverly.
  • A higher percentage of married families is found in Isabella at 42.0% compared to 35.0% in Waverly.
  • The poverty level is higher in Waverly at 12%, compared to 10% in Isabella.
  • Waverly has a higher unemployment rate at 4.5% compared to 2.5% in Isabella.

Demographics

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

Demographic Isabella Waverly
Black Data is updating 2
White 86 91
Asian Data is updating Data is updating
Hispanic Data is updating 2
Two or More Races Data is updating 5
American Indian 14 Data is updating

Demographics Comparison: Isabella vs Waverly

  • In Waverly, the percentage of Black residents is higher at 2% compared to 0% in Isabella.
  • The percentage of White residents is higher in Waverly at 91% compared to 86% in Isabella.
  • Both Isabella and Waverly have the same percentage of Asian residents at 0%.
  • Waverly has a higher percentage of Hispanic residents at 2%, compared to 0% in Isabella.
  • The percentage of residents identifying as two or more races is higher in Waverly at 5%, compared to 0% in Isabella.
  • A greater percentage of American Indian residents live in Isabella at 14% compared to 0% in Waverly.

Health Statistics

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

Health Metric Isabella Waverly
Mental Health Not Good 17.1% 19.9%
Physical Health Not Good 11.9% 13.9%
Depression 23.6% 28.8%
Smoking 19.0% 23.6%
Binge Drinking 16.1% 15.6%
Obesity 42.6% 37.8%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: Isabella vs Waverly

  • In Waverly, a higher percentage report poor mental health at 19.9% compared to 17.1% in Isabella.
  • Higher depression rates are seen in Waverly at 28.8% versus 23.6% in Isabella.
  • Waverly has a higher smoking rate at 23.6% compared to 19.0% in Isabella.
  • Binge drinking is more common in Isabella at 16.1% compared to 15.6% in Waverly.
  • Obesity rates are higher in Isabella at 42.6% compared to 37.8% in Waverly.
  • There is a higher percentage of disabled individuals in Waverly at 19.0% compared to 0.0% in Isabella.

Education Levels

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

Education Level Isabella Waverly
No Schooling 0.0% (Data is updating) 1.0% (41)
High School Diploma 44.2% (38) 18.4% (792)
Less than High School 0.0% (Data is updating) 21.9% (943)
Bachelor's Degree and Higher 16.3% (14) 16.5% (709)

Education Levels Comparison: Isabella vs Waverly

  • In Waverly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Isabella.
  • A higher percentage of residents in Isabella hold a high school diploma at 44.2% compared to 18.4% in Waverly.
  • The percentage of residents with less than a high school education is higher in Waverly at 21.9%, compared to 0.0% in Isabella.
  • In Waverly, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 16.3% in Isabella.

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.