Demographics details for West valley city, UT vs Paterson, NJ

Population Overview

Compare main population characteristics in West valley city, UT vs Paterson, NJ.

Data West valley city Paterson
Population 136,650 156,661
Median Age 30.2 years 33.1 years
Median Income $81,719 $52,092
Married Families 37.0% 27.0%
Poverty Level 11% 18%
Unemployment Rate 3.8 8.8

Population Comparison: West valley city vs Paterson

  • The population in Paterson is higher at 156,661, compared to 136,650 in West valley city.
  • The median age in Paterson is higher at 33.1 years, compared to 30.2 years in West valley city.
  • West valley city has a higher median income of $81,719 compared to $52,092 in Paterson.
  • A higher percentage of married families is found in West valley city at 37.0% compared to 27.0% in Paterson.
  • The poverty level is higher in Paterson at 18%, compared to 11% in West valley city.
  • Paterson has a higher unemployment rate at 8.8% compared to 3.8% in West valley city.

Demographics

Demographics West valley city vs Paterson provide insight into the diversity of the communities to compare.

Demographic West valley city Paterson
Black 3 25
White 38 Data is updating
Asian 6 5
Hispanic 42 64
Two or More Races 10 17
American Indian 1 Data is updating

Demographics Comparison: West valley city vs Paterson

  • In Paterson, the percentage of Black residents is higher at 25% compared to 3% in West valley city.
  • West valley city has a higher percentage of White residents at 38% compared to 0% in Paterson.
  • The Asian population is larger in West valley city at 6% compared to 5% in Paterson.
  • Paterson has a higher percentage of Hispanic residents at 64%, compared to 42% in West valley city.
  • The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 10% in West valley city.
  • A greater percentage of American Indian residents live in West valley city at 1% compared to 0% in Paterson.

Health Statistics

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

Health Metric West valley city Paterson
Mental Health Not Good 19.5% 17.5%
Physical Health Not Good 12.8% 15.1%
Depression 26.8% 16.5%
Smoking 11.4% 17.7%
Binge Drinking 14.5% 13.9%
Obesity 33.9% 38.0%
Disability Percentage 10.0% 7.0%

Health Statistics Comparison: West valley city vs Paterson

  • More residents in West valley city report poor mental health at 19.5% compared to 17.5% in Paterson.
  • Depression is more prevalent in West valley city at 26.8% compared to 16.5% in Paterson.
  • Paterson has a higher smoking rate at 17.7% compared to 11.4% in West valley city.
  • Binge drinking is more common in West valley city at 14.5% compared to 13.9% in Paterson.
  • Paterson has higher obesity rates at 38.0% compared to 33.9% in West valley city.
  • Disability percentages are higher in West valley city at 10.0% compared to 7.0% in Paterson.

Education Levels

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

Education Level West valley city Paterson
No Schooling 1.9% (2,540) 2.1% (3,278)
High School Diploma 18.0% (24,648) 25.1% (39,354)
Less than High School 18.4% (25,180) 26.1% (40,961)
Bachelor's Degree and Higher 9.3% (12,767) 7.9% (12,450)

Education Levels Comparison: West valley city vs Paterson

  • In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 1.9% in West valley city.
  • In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 18.0% in West valley city.
  • The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 18.4% in West valley city.
  • A higher percentage of residents in West valley city hold a bachelor's degree or higher at 9.3% compared to 7.9% in Paterson.

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.