Demographics details for Westfield, NJ vs Smith center, KS

Population Overview

Compare main population characteristics in Westfield, NJ vs Smith center, KS.

Data Westfield Smith center
Population 30,539 1,561
Median Age 40.4 years 46.6 years
Median Income $203,235 $49,444
Married Families 50.0% 43.0%
Poverty Level Data is updating 10%
Unemployment Rate 3.9 3.2

Population Comparison: Westfield vs Smith center

  • In Westfield, the population is higher at 30,539, compared to 1,561 in Smith center.
  • The median age in Smith center is higher at 46.6 years, compared to 40.4 years in Westfield.
  • Westfield has a higher median income of $203,235 compared to $49,444 in Smith center.
  • A higher percentage of married families is found in Westfield at 50.0% compared to 43.0% in Smith center.
  • The poverty level is higher in Smith center at 10%, compared to 0% in Westfield.
  • The unemployment rate in Westfield is higher at 3.9%, compared to 3.2% in Smith center.

Demographics

Demographics Westfield vs Smith center provide insight into the diversity of the communities to compare.

Demographic Westfield Smith center
Black 3 1
White 74 94
Asian 8 Data is updating
Hispanic 8 3
Two or More Races 7 2
American Indian Data is updating Data is updating

Demographics Comparison: Westfield vs Smith center

  • A higher percentage of Black residents are in Westfield at 3% compared to 1% in Smith center.
  • The percentage of White residents is higher in Smith center at 94% compared to 74% in Westfield.
  • The Asian population is larger in Westfield at 8% compared to 0% in Smith center.
  • The Hispanic community is larger in Westfield at 8% compared to 3% in Smith center.
  • More residents identify as two or more races in Westfield at 7% compared to 2% in Smith center.
  • The percentage of American Indian residents is the same in both Westfield and Smith center at 0%.

Health Statistics

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

Health Metric Westfield Smith center
Mental Health Not Good 12.0% 16.7%
Physical Health Not Good 7.1% 10.8%
Depression 17.8% 21.7%
Smoking 8.1% 19.2%
Binge Drinking 19.3% 19.0%
Obesity 21.9% 38.8%
Disability Percentage 5.0% 15.0%

Health Statistics Comparison: Westfield vs Smith center

  • In Smith center, a higher percentage report poor mental health at 16.7% compared to 12.0% in Westfield.
  • Higher depression rates are seen in Smith center at 21.7% versus 17.8% in Westfield.
  • Smith center has a higher smoking rate at 19.2% compared to 8.1% in Westfield.
  • Binge drinking is more common in Westfield at 19.3% compared to 19.0% in Smith center.
  • Smith center has higher obesity rates at 38.8% compared to 21.9% in Westfield.
  • There is a higher percentage of disabled individuals in Smith center at 15.0% compared to 5.0% in Westfield.

Education Levels

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

Education Level Westfield Smith center
No Schooling 0.2% (68) 0.2% (3)
High School Diploma 6.1% (1,873) 29.4% (459)
Less than High School 1.7% (513) 7.6% (118)
Bachelor's Degree and Higher 50.6% (15,460) 14.8% (231)

Education Levels Comparison: Westfield vs Smith center

  • The percentage of residents with no formal schooling is the same in both Westfield and Smith center at 0.2%.
  • In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 6.1% in Westfield.
  • The percentage of residents with less than a high school education is higher in Smith center at 7.6%, compared to 1.7% in Westfield.
  • A higher percentage of residents in Westfield hold a bachelor's degree or higher at 50.6% compared to 14.8% in Smith center.

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.