Demographics details for Weehawken, NJ vs Sand springs, OK

Population Overview

Compare main population characteristics in Weehawken, NJ vs Sand springs, OK.

Data Weehawken Sand springs
Population 14,864 20,031
Median Age 38.0 years 36.6 years
Median Income $83,000 $70,431
Married Families 42.0% 41.0%
Poverty Level 10% 9%
Unemployment Rate 3.1 3.8

Population Comparison: Weehawken vs Sand springs

  • The population in Sand springs is higher at 20,031, compared to 14,864 in Weehawken.
  • Residents in Weehawken have a higher median age of 38.0 years compared to 36.6 years in Sand springs.
  • Weehawken has a higher median income of $83,000 compared to $70,431 in Sand springs.
  • A higher percentage of married families is found in Weehawken at 42.0% compared to 41.0% in Sand springs.
  • Weehawken has a higher poverty level at 10% compared to 9% in Sand springs.
  • Sand springs has a higher unemployment rate at 3.8% compared to 3.1% in Weehawken.

Demographics

Demographics Weehawken vs Sand springs provide insight into the diversity of the communities to compare.

Demographic Weehawken Sand springs
Black 1 2
White 95 76
Asian 3 1
Hispanic 1 5
Two or More Races 2 9
American Indian Data is updating 7

Demographics Comparison: Weehawken vs Sand springs

  • In Sand springs, the percentage of Black residents is higher at 2% compared to 1% in Weehawken.
  • Weehawken has a higher percentage of White residents at 95% compared to 76% in Sand springs.
  • The Asian population is larger in Weehawken at 3% compared to 1% in Sand springs.
  • Sand springs has a higher percentage of Hispanic residents at 5%, compared to 1% in Weehawken.
  • The percentage of residents identifying as two or more races is higher in Sand springs at 9%, compared to 2% in Weehawken.
  • In Sand springs, the percentage of American Indian residents is higher at 7%, compared to 0% in Weehawken.

Health Statistics

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

Health Metric Weehawken Sand springs
Mental Health Not Good Data is updating% 18.6%
Physical Health Not Good Data is updating% 11.8%
Depression Data is updating% 26.9%
Smoking Data is updating% 18.2%
Binge Drinking Data is updating% 15.0%
Obesity Data is updating% 35.7%
Disability Percentage Data is updating% 17.0%

Health Statistics Comparison: Weehawken vs Sand springs

  • In Sand springs, a higher percentage report poor mental health at 18.6% compared to 0.0% in Weehawken.
  • Higher depression rates are seen in Sand springs at 26.9% versus 0.0% in Weehawken.
  • Sand springs has a higher smoking rate at 18.2% compared to 0.0% in Weehawken.
  • More residents engage in binge drinking in Sand springs at 15.0% compared to 0.0% in Weehawken.
  • Sand springs has higher obesity rates at 35.7% compared to 0.0% in Weehawken.
  • There is a higher percentage of disabled individuals in Sand springs at 17.0% compared to 0.0% in Weehawken.

Education Levels

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

Education Level Weehawken Sand springs
No Schooling 0.0% (Data is updating) 0.5% (98)
High School Diploma 0.0% (Data is updating) 16.8% (3,364)
Less than High School 0.0% (Data is updating) 11.3% (2,260)
Bachelor's Degree and Higher 0.0% (Data is updating) 15.2% (3,042)

Education Levels Comparison: Weehawken vs Sand springs

  • In Sand springs, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Weehawken.
  • In Sand springs, the rate of residents with high school diplomas is higher at 16.8% compared to 0.0% in Weehawken.
  • The percentage of residents with less than a high school education is higher in Sand springs at 11.3%, compared to 0.0% in Weehawken.
  • In Sand springs, a larger share of residents have a bachelor's degree or higher at 15.2% compared to 0.0% in Weehawken.

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.