Demographics details for North bangor, NY vs Dayton, TN

Population Overview

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

Data North bangor Dayton
Population 134 7,347
Median Age 48.0 years 34.6 years
Median Income $53,333 $54,511
Married Families 66.0% 36.0%
Poverty Level 10% 15%
Unemployment Rate 4.0 3.5

Population Comparison: North bangor vs Dayton

  • The population in Dayton is higher at 7,347, compared to 134 in North bangor.
  • Residents in North bangor have a higher median age of 48.0 years compared to 34.6 years in Dayton.
  • Dayton has a higher median income of $54,511, compared to $53,333 in North bangor.
  • A higher percentage of married families is found in North bangor at 66.0% compared to 36.0% in Dayton.
  • The poverty level is higher in Dayton at 15%, compared to 10% in North bangor.
  • The unemployment rate in North bangor is higher at 4.0%, compared to 3.5% in Dayton.

Demographics

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

Demographic North bangor Dayton
Black Data is updating 4
White 100 83
Asian Data is updating 2
Hispanic Data is updating 6
Two or More Races Data is updating 5
American Indian Data is updating Data is updating

Demographics Comparison: North bangor vs Dayton

  • In Dayton, the percentage of Black residents is higher at 4% compared to 0% in North bangor.
  • North bangor has a higher percentage of White residents at 100% compared to 83% in Dayton.
  • In Dayton, the Asian population stands at 2%, greater than 0% in North bangor.
  • Dayton has a higher percentage of Hispanic residents at 6%, compared to 0% in North bangor.
  • The percentage of residents identifying as two or more races is higher in Dayton at 5%, compared to 0% in North bangor.
  • The percentage of American Indian residents is the same in both North bangor and Dayton at 0%.

Health Statistics

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

Health Metric North bangor Dayton
Mental Health Not Good Data is updating% 22.9%
Physical Health Not Good Data is updating% 17.4%
Depression Data is updating% 32.0%
Smoking Data is updating% 28.8%
Binge Drinking Data is updating% 13.4%
Obesity Data is updating% 44.2%
Disability Percentage Data is updating% 20.0%

Health Statistics Comparison: North bangor vs Dayton

  • In Dayton, a higher percentage report poor mental health at 22.9% compared to 0.0% in North bangor.
  • Higher depression rates are seen in Dayton at 32.0% versus 0.0% in North bangor.
  • Dayton has a higher smoking rate at 28.8% compared to 0.0% in North bangor.
  • More residents engage in binge drinking in Dayton at 13.4% compared to 0.0% in North bangor.
  • Dayton has higher obesity rates at 44.2% compared to 0.0% in North bangor.
  • There is a higher percentage of disabled individuals in Dayton at 20.0% compared to 0.0% in North bangor.

Education Levels

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

Education Level North bangor Dayton
No Schooling 0.0% (Data is updating) 2.0% (145)
High School Diploma 0.0% (Data is updating) 19.8% (1,453)
Less than High School 0.0% (Data is updating) 23.6% (1,732)
Bachelor's Degree and Higher 0.0% (Data is updating) 10.7% (783)

Education Levels Comparison: North bangor vs Dayton

  • In Dayton, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in North bangor.
  • In Dayton, the rate of residents with high school diplomas is higher at 19.8% compared to 0.0% in North bangor.
  • The percentage of residents with less than a high school education is higher in Dayton at 23.6%, compared to 0.0% in North bangor.
  • In Dayton, a larger share of residents have a bachelor's degree or higher at 10.7% compared to 0.0% in North bangor.

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.