Demographics details for North bangor, NY vs Wakita, OK

Population Overview

Compare main population characteristics in North bangor, NY vs Wakita, OK.

Data North bangor Wakita
Population 134 307
Median Age 48.0 years 35.5 years
Median Income $53,333 $34,375
Married Families 66.0% 32.0%
Poverty Level 10% 15%
Unemployment Rate 4.0 3.5

Population Comparison: North bangor vs Wakita

  • The population in Wakita is higher at 307, compared to 134 in North bangor.
  • Residents in North bangor have a higher median age of 48.0 years compared to 35.5 years in Wakita.
  • North bangor has a higher median income of $53,333 compared to $34,375 in Wakita.
  • A higher percentage of married families is found in North bangor at 66.0% compared to 32.0% in Wakita.
  • The poverty level is higher in Wakita at 15%, compared to 10% in North bangor.
  • The unemployment rate in North bangor is higher at 4.0%, compared to 3.5% in Wakita.

Demographics

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

Demographic North bangor Wakita
Black Data is updating Data is updating
White 100 74
Asian Data is updating Data is updating
Hispanic Data is updating 20
Two or More Races Data is updating 4
American Indian Data is updating 2

Demographics Comparison: North bangor vs Wakita

  • The percentage of Black residents is the same in both North bangor and Wakita at 0%.
  • North bangor has a higher percentage of White residents at 100% compared to 74% in Wakita.
  • Both North bangor and Wakita have the same percentage of Asian residents at 0%.
  • Wakita has a higher percentage of Hispanic residents at 20%, compared to 0% in North bangor.
  • The percentage of residents identifying as two or more races is higher in Wakita at 4%, compared to 0% in North bangor.
  • In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in North bangor.

Health Statistics

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

Health Metric North bangor Wakita
Mental Health Not Good Data is updating% 17.8%
Physical Health Not Good Data is updating% 11.4%
Depression Data is updating% 25.5%
Smoking Data is updating% 17.8%
Binge Drinking Data is updating% 15.8%
Obesity Data is updating% 39.1%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: North bangor vs Wakita

  • In Wakita, a higher percentage report poor mental health at 17.8% compared to 0.0% in North bangor.
  • Higher depression rates are seen in Wakita at 25.5% versus 0.0% in North bangor.
  • Wakita has a higher smoking rate at 17.8% compared to 0.0% in North bangor.
  • More residents engage in binge drinking in Wakita at 15.8% compared to 0.0% in North bangor.
  • Wakita has higher obesity rates at 39.1% compared to 0.0% in North bangor.
  • There is a higher percentage of disabled individuals in Wakita at 19.0% 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 Wakita
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 25.1% (77)
Less than High School 0.0% (Data is updating) 10.4% (32)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.4% (35)

Education Levels Comparison: North bangor vs Wakita

  • The percentage of residents with no formal schooling is the same in both North bangor and Wakita at 0.0%.
  • In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 0.0% in North bangor.
  • The percentage of residents with less than a high school education is higher in Wakita at 10.4%, compared to 0.0% in North bangor.
  • In Wakita, a larger share of residents have a bachelor's degree or higher at 11.4% 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.