Demographics details for West valley city, UT vs Norfolk, CT

Population Overview

Compare main population characteristics in West valley city, UT vs Norfolk, CT.

Data West valley city Norfolk
Population 136,650 1,685
Median Age 30.2 years 52.0 years
Median Income $81,719 $76,382
Married Families 37.0% 44.0%
Poverty Level 11% 4%
Unemployment Rate 3.8 2.7

Population Comparison: West valley city vs Norfolk

  • In West valley city, the population is higher at 136,650, compared to 1,685 in Norfolk.
  • The median age in Norfolk is higher at 52.0 years, compared to 30.2 years in West valley city.
  • West valley city has a higher median income of $81,719 compared to $76,382 in Norfolk.
  • In Norfolk, the percentage of married families is higher at 44.0%, compared to 37.0% in West valley city.
  • West valley city has a higher poverty level at 11% compared to 4% in Norfolk.
  • The unemployment rate in West valley city is higher at 3.8%, compared to 2.7% in Norfolk.

Demographics

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

Demographic West valley city Norfolk
Black 3 Data is updating
White 38 87
Asian 6 1
Hispanic 42 4
Two or More Races 10 8
American Indian 1 Data is updating

Demographics Comparison: West valley city vs Norfolk

  • A higher percentage of Black residents are in West valley city at 3% compared to 0% in Norfolk.
  • The percentage of White residents is higher in Norfolk at 87% compared to 38% in West valley city.
  • The Asian population is larger in West valley city at 6% compared to 1% in Norfolk.
  • The Hispanic community is larger in West valley city at 42% compared to 4% in Norfolk.
  • More residents identify as two or more races in West valley city at 10% compared to 8% in Norfolk.
  • A greater percentage of American Indian residents live in West valley city at 1% compared to 0% in Norfolk.

Health Statistics

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

Health Metric West valley city Norfolk
Mental Health Not Good 19.5% Data is updating%
Physical Health Not Good 12.8% Data is updating%
Depression 26.8% Data is updating%
Smoking 11.4% Data is updating%
Binge Drinking 14.5% Data is updating%
Obesity 33.9% Data is updating%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: West valley city vs Norfolk

  • More residents in West valley city report poor mental health at 19.5% compared to 0.0% in Norfolk.
  • Depression is more prevalent in West valley city at 26.8% compared to 0.0% in Norfolk.
  • Smoking is more prevalent in West valley city at 11.4% compared to 0.0% in Norfolk.
  • Binge drinking is more common in West valley city at 14.5% compared to 0.0% in Norfolk.
  • Obesity rates are higher in West valley city at 33.9% compared to 0.0% in Norfolk.
  • There is a higher percentage of disabled individuals in Norfolk at 13.0% compared to 10.0% in West valley city.

Education Levels

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

Education Level West valley city Norfolk
No Schooling 1.9% (2,540) 0.2% (3)
High School Diploma 18.0% (24,648) 16.3% (275)
Less than High School 18.4% (25,180) 6.8% (115)
Bachelor's Degree and Higher 9.3% (12,767) 36.2% (610)

Education Levels Comparison: West valley city vs Norfolk

  • A higher percentage of residents in West valley city have no formal schooling at 1.9% compared to 0.2% in Norfolk.
  • A higher percentage of residents in West valley city hold a high school diploma at 18.0% compared to 16.3% in Norfolk.
  • More residents in West valley city have less than a high school education at 18.4% compared to 6.8% in Norfolk.
  • In Norfolk, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 9.3% in West valley city.

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.