Demographics details for North tonawanda, NY vs Wiggins, MS

Population Overview

Compare main population characteristics in North tonawanda, NY vs Wiggins, MS.

Data North tonawanda Wiggins
Population 30,235 4,266
Median Age 43.4 years 38.7 years
Median Income $66,836 $44,250
Married Families 42.0% 24.0%
Poverty Level 6% 14%
Unemployment Rate 3.5 4.7

Population Comparison: North tonawanda vs Wiggins

  • In North tonawanda, the population is higher at 30,235, compared to 4,266 in Wiggins.
  • Residents in North tonawanda have a higher median age of 43.4 years compared to 38.7 years in Wiggins.
  • North tonawanda has a higher median income of $66,836 compared to $44,250 in Wiggins.
  • A higher percentage of married families is found in North tonawanda at 42.0% compared to 24.0% in Wiggins.
  • The poverty level is higher in Wiggins at 14%, compared to 6% in North tonawanda.
  • Wiggins has a higher unemployment rate at 4.7% compared to 3.5% in North tonawanda.

Demographics

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

Demographic North tonawanda Wiggins
Black 2 37
White 92 59
Asian 1 Data is updating
Hispanic 2 2
Two or More Races 3 2
American Indian Data is updating Data is updating

Demographics Comparison: North tonawanda vs Wiggins

  • In Wiggins, the percentage of Black residents is higher at 37% compared to 2% in North tonawanda.
  • North tonawanda has a higher percentage of White residents at 92% compared to 59% in Wiggins.
  • The Asian population is larger in North tonawanda at 1% compared to 0% in Wiggins.
  • The percentage of Hispanic residents is the same in both North tonawanda and Wiggins at 2%.
  • More residents identify as two or more races in North tonawanda at 3% compared to 2% in Wiggins.
  • The percentage of American Indian residents is the same in both North tonawanda and Wiggins at 0%.

Health Statistics

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

Health Metric North tonawanda Wiggins
Mental Health Not Good 16.5% 18.5%
Physical Health Not Good 10.5% 14.5%
Depression 25.7% 23.5%
Smoking 20.2% 24.3%
Binge Drinking 19.1% 13.6%
Obesity 34.2% 43.2%
Disability Percentage 15.0% 31.0%

Health Statistics Comparison: North tonawanda vs Wiggins

  • In Wiggins, a higher percentage report poor mental health at 18.5% compared to 16.5% in North tonawanda.
  • Depression is more prevalent in North tonawanda at 25.7% compared to 23.5% in Wiggins.
  • Wiggins has a higher smoking rate at 24.3% compared to 20.2% in North tonawanda.
  • Binge drinking is more common in North tonawanda at 19.1% compared to 13.6% in Wiggins.
  • Wiggins has higher obesity rates at 43.2% compared to 34.2% in North tonawanda.
  • There is a higher percentage of disabled individuals in Wiggins at 31.0% 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 North tonawanda Wiggins
No Schooling 1.2% (368) 1.8% (78)
High School Diploma 22.0% (6,652) 16.7% (713)
Less than High School 9.7% (2,946) 20.0% (852)
Bachelor's Degree and Higher 20.8% (6,298) 8.4% (357)

Education Levels Comparison: North tonawanda vs Wiggins

  • In Wiggins, a larger percentage of residents lack formal schooling at 1.8% compared to 1.2% in North tonawanda.
  • A higher percentage of residents in North tonawanda hold a high school diploma at 22.0% compared to 16.7% in Wiggins.
  • The percentage of residents with less than a high school education is higher in Wiggins at 20.0%, compared to 9.7% in North tonawanda.
  • A higher percentage of residents in North tonawanda hold a bachelor's degree or higher at 20.8% compared to 8.4% in Wiggins.

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.