Demographics details for West valley city, UT vs Gooding, ID

Population Overview

Compare main population characteristics in West valley city, UT vs Gooding, ID.

Data West valley city Gooding
Population 136,650 15,715
Median Age 30.2 years 38.3 years
Median Income $81,719 $60,938
Married Families 37.0% 40.0%
Poverty Level 11% 8%
Unemployment Rate 3.8 2.9

Population Comparison: West valley city vs Gooding

  • In West valley city, the population is higher at 136,650, compared to 15,715 in Gooding.
  • The median age in Gooding is higher at 38.3 years, compared to 30.2 years in West valley city.
  • West valley city has a higher median income of $81,719 compared to $60,938 in Gooding.
  • In Gooding, the percentage of married families is higher at 40.0%, compared to 37.0% in West valley city.
  • West valley city has a higher poverty level at 11% compared to 8% in Gooding.
  • The unemployment rate in West valley city is higher at 3.8%, compared to 2.9% in Gooding.

Demographics

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

Demographic West valley city Gooding
Black 3 Data is updating
White 38 60
Asian 6 Data is updating
Hispanic 42 29
Two or More Races 10 9
American Indian 1 2

Demographics Comparison: West valley city vs Gooding

  • A higher percentage of Black residents are in West valley city at 3% compared to 0% in Gooding.
  • The percentage of White residents is higher in Gooding at 60% compared to 38% in West valley city.
  • The Asian population is larger in West valley city at 6% compared to 0% in Gooding.
  • The Hispanic community is larger in West valley city at 42% compared to 29% in Gooding.
  • More residents identify as two or more races in West valley city at 10% compared to 9% in Gooding.
  • In Gooding, the percentage of American Indian residents is higher at 2%, compared to 1% in West valley city.

Health Statistics

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

Health Metric West valley city Gooding
Mental Health Not Good 19.5% 16.4%
Physical Health Not Good 12.8% 12.8%
Depression 26.8% 22.7%
Smoking 11.4% 18.0%
Binge Drinking 14.5% 15.6%
Obesity 33.9% 36.9%
Disability Percentage 10.0% 15.0%

Health Statistics Comparison: West valley city vs Gooding

  • More residents in West valley city report poor mental health at 19.5% compared to 16.4% in Gooding.
  • Depression is more prevalent in West valley city at 26.8% compared to 22.7% in Gooding.
  • Gooding has a higher smoking rate at 18.0% compared to 11.4% in West valley city.
  • More residents engage in binge drinking in Gooding at 15.6% compared to 14.5% in West valley city.
  • Gooding has higher obesity rates at 36.9% compared to 33.9% in West valley city.
  • There is a higher percentage of disabled individuals in Gooding at 15.0% 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 Gooding
No Schooling 1.9% (2,540) 0.8% (131)
High School Diploma 18.0% (24,648) 19.5% (3,066)
Less than High School 18.4% (25,180) 26.7% (4,203)
Bachelor's Degree and Higher 9.3% (12,767) 10.1% (1,588)

Education Levels Comparison: West valley city vs Gooding

  • A higher percentage of residents in West valley city have no formal schooling at 1.9% compared to 0.8% in Gooding.
  • In Gooding, the rate of residents with high school diplomas is higher at 19.5% compared to 18.0% in West valley city.
  • The percentage of residents with less than a high school education is higher in Gooding at 26.7%, compared to 18.4% in West valley city.
  • In Gooding, a larger share of residents have a bachelor's degree or higher at 10.1% 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.