Demographics details for Dayton, TN vs North tonawanda, NY

Population Overview

Compare main population characteristics in Dayton, TN vs North tonawanda, NY.

Data Dayton North tonawanda
Population 7,347 30,235
Median Age 34.6 years 43.4 years
Median Income $54,511 $66,836
Married Families 36.0% 42.0%
Poverty Level 15% 6%
Unemployment Rate 3.5 3.5

Population Comparison: Dayton vs North tonawanda

  • The population in North tonawanda is higher at 30,235, compared to 7,347 in Dayton.
  • The median age in North tonawanda is higher at 43.4 years, compared to 34.6 years in Dayton.
  • North tonawanda has a higher median income of $66,836, compared to $54,511 in Dayton.
  • In North tonawanda, the percentage of married families is higher at 42.0%, compared to 36.0% in Dayton.
  • Dayton has a higher poverty level at 15% compared to 6% in North tonawanda.
  • The unemployment rate is the same in both Dayton and North tonawanda at 3.5%.

Demographics

Demographics Dayton vs North tonawanda provide insight into the diversity of the communities to compare.

Demographic Dayton North tonawanda
Black 4 2
White 83 92
Asian 2 1
Hispanic 6 2
Two or More Races 5 3
American Indian Data is updating Data is updating

Demographics Comparison: Dayton vs North tonawanda

  • A higher percentage of Black residents are in Dayton at 4% compared to 2% in North tonawanda.
  • The percentage of White residents is higher in North tonawanda at 92% compared to 83% in Dayton.
  • The Asian population is larger in Dayton at 2% compared to 1% in North tonawanda.
  • The Hispanic community is larger in Dayton at 6% compared to 2% in North tonawanda.
  • More residents identify as two or more races in Dayton at 5% compared to 3% in North tonawanda.
  • The percentage of American Indian residents is the same in both Dayton and North tonawanda at 0%.

Health Statistics

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

Health Metric Dayton North tonawanda
Mental Health Not Good 22.9% 16.5%
Physical Health Not Good 17.4% 10.5%
Depression 32.0% 25.7%
Smoking 28.8% 20.2%
Binge Drinking 13.4% 19.1%
Obesity 44.2% 34.2%
Disability Percentage 20.0% 15.0%

Health Statistics Comparison: Dayton vs North tonawanda

  • More residents in Dayton report poor mental health at 22.9% compared to 16.5% in North tonawanda.
  • Depression is more prevalent in Dayton at 32.0% compared to 25.7% in North tonawanda.
  • Smoking is more prevalent in Dayton at 28.8% compared to 20.2% in North tonawanda.
  • More residents engage in binge drinking in North tonawanda at 19.1% compared to 13.4% in Dayton.
  • Obesity rates are higher in Dayton at 44.2% compared to 34.2% in North tonawanda.
  • Disability percentages are higher in Dayton at 20.0% compared to 15.0% in North tonawanda.

Education Levels

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

Education Level Dayton North tonawanda
No Schooling 2.0% (145) 1.2% (368)
High School Diploma 19.8% (1,453) 22.0% (6,652)
Less than High School 23.6% (1,732) 9.7% (2,946)
Bachelor's Degree and Higher 10.7% (783) 20.8% (6,298)

Education Levels Comparison: Dayton vs North tonawanda

  • A higher percentage of residents in Dayton have no formal schooling at 2.0% compared to 1.2% in North tonawanda.
  • In North tonawanda, the rate of residents with high school diplomas is higher at 22.0% compared to 19.8% in Dayton.
  • More residents in Dayton have less than a high school education at 23.6% compared to 9.7% in North tonawanda.
  • In North tonawanda, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 10.7% in Dayton.

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.