Demographics details for Cumming, IA vs West valley city, UT

Population Overview

Compare main population characteristics in Cumming, IA vs West valley city, UT.

Data Cumming West valley city
Population 487 136,650
Median Age 44.5 years 30.2 years
Median Income $146,250 $81,719
Married Families 71.0% 37.0%
Poverty Level Data is updating 11%
Unemployment Rate 2.5 3.8

Population Comparison: Cumming vs West valley city

  • The population in West valley city is higher at 136,650, compared to 487 in Cumming.
  • Residents in Cumming have a higher median age of 44.5 years compared to 30.2 years in West valley city.
  • Cumming has a higher median income of $146,250 compared to $81,719 in West valley city.
  • A higher percentage of married families is found in Cumming at 71.0% compared to 37.0% in West valley city.
  • The poverty level is higher in West valley city at 11%, compared to 0% in Cumming.
  • West valley city has a higher unemployment rate at 3.8% compared to 2.5% in Cumming.

Demographics

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

Demographic Cumming West valley city
Black 2 3
White 91 38
Asian Data is updating 6
Hispanic 2 42
Two or More Races 5 10
American Indian Data is updating 1

Demographics Comparison: Cumming vs West valley city

  • In West valley city, the percentage of Black residents is higher at 3% compared to 2% in Cumming.
  • Cumming has a higher percentage of White residents at 91% compared to 38% in West valley city.
  • In West valley city, the Asian population stands at 6%, greater than 0% in Cumming.
  • West valley city has a higher percentage of Hispanic residents at 42%, compared to 2% in Cumming.
  • The percentage of residents identifying as two or more races is higher in West valley city at 10%, compared to 5% in Cumming.
  • In West valley city, the percentage of American Indian residents is higher at 1%, compared to 0% in Cumming.

Health Statistics

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

Health Metric Cumming West valley city
Mental Health Not Good 13.3% 19.5%
Physical Health Not Good 7.6% 12.8%
Depression 17.2% 26.8%
Smoking 12.2% 11.4%
Binge Drinking 23.1% 14.5%
Obesity 35.1% 33.9%
Disability Percentage 11.0% 10.0%

Health Statistics Comparison: Cumming vs West valley city

  • In West valley city, a higher percentage report poor mental health at 19.5% compared to 13.3% in Cumming.
  • Higher depression rates are seen in West valley city at 26.8% versus 17.2% in Cumming.
  • Smoking is more prevalent in Cumming at 12.2% compared to 11.4% in West valley city.
  • Binge drinking is more common in Cumming at 23.1% compared to 14.5% in West valley city.
  • Obesity rates are higher in Cumming at 35.1% compared to 33.9% in West valley city.
  • Disability percentages are higher in Cumming at 11.0% 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 Cumming West valley city
No Schooling 0.0% (Data is updating) 1.9% (2,540)
High School Diploma 13.6% (66) 18.0% (24,648)
Less than High School 0.0% (Data is updating) 18.4% (25,180)
Bachelor's Degree and Higher 47.0% (229) 9.3% (12,767)

Education Levels Comparison: Cumming vs West valley city

  • In West valley city, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Cumming.
  • In West valley city, the rate of residents with high school diplomas is higher at 18.0% compared to 13.6% in Cumming.
  • The percentage of residents with less than a high school education is higher in West valley city at 18.4%, compared to 0.0% in Cumming.
  • A higher percentage of residents in Cumming hold a bachelor's degree or higher at 47.0% 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.