Demographics details for Cumming, IA vs Bellingham, WA

Population Overview

Compare main population characteristics in Cumming, IA vs Bellingham, WA.

Data Cumming Bellingham
Population 487 93,896
Median Age 44.5 years 33.7 years
Median Income $146,250 $64,026
Married Families 71.0% 32.0%
Poverty Level Data is updating 11%
Unemployment Rate 2.5 4.5

Population Comparison: Cumming vs Bellingham

  • The population in Bellingham is higher at 93,896, compared to 487 in Cumming.
  • Residents in Cumming have a higher median age of 44.5 years compared to 33.7 years in Bellingham.
  • Cumming has a higher median income of $146,250 compared to $64,026 in Bellingham.
  • A higher percentage of married families is found in Cumming at 71.0% compared to 32.0% in Bellingham.
  • The poverty level is higher in Bellingham at 11%, compared to 0% in Cumming.
  • Bellingham has a higher unemployment rate at 4.5% compared to 2.5% in Cumming.

Demographics

Demographics Cumming vs Bellingham provide insight into the diversity of the communities to compare.

Demographic Cumming Bellingham
Black 2 1
White 91 74
Asian Data is updating 6
Hispanic 2 10
Two or More Races 5 8
American Indian Data is updating 1

Demographics Comparison: Cumming vs Bellingham

  • A higher percentage of Black residents are in Cumming at 2% compared to 1% in Bellingham.
  • Cumming has a higher percentage of White residents at 91% compared to 74% in Bellingham.
  • In Bellingham, the Asian population stands at 6%, greater than 0% in Cumming.
  • Bellingham has a higher percentage of Hispanic residents at 10%, compared to 2% in Cumming.
  • The percentage of residents identifying as two or more races is higher in Bellingham at 8%, compared to 5% in Cumming.
  • In Bellingham, 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 Bellingham
Mental Health Not Good 13.3% 17.6%
Physical Health Not Good 7.6% 10.9%
Depression 17.2% 30.0%
Smoking 12.2% 14.1%
Binge Drinking 23.1% 17.3%
Obesity 35.1% 25.6%
Disability Percentage 11.0% 12.0%

Health Statistics Comparison: Cumming vs Bellingham

  • In Bellingham, a higher percentage report poor mental health at 17.6% compared to 13.3% in Cumming.
  • Higher depression rates are seen in Bellingham at 30.0% versus 17.2% in Cumming.
  • Bellingham has a higher smoking rate at 14.1% compared to 12.2% in Cumming.
  • Binge drinking is more common in Cumming at 23.1% compared to 17.3% in Bellingham.
  • Obesity rates are higher in Cumming at 35.1% compared to 25.6% in Bellingham.
  • There is a higher percentage of disabled individuals in Bellingham at 12.0% compared to 11.0% in Cumming.

Education Levels

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

Education Level Cumming Bellingham
No Schooling 0.0% (Data is updating) 0.5% (454)
High School Diploma 13.6% (66) 8.8% (8,220)
Less than High School 0.0% (Data is updating) 6.2% (5,781)
Bachelor's Degree and Higher 47.0% (229) 28.9% (27,095)

Education Levels Comparison: Cumming vs Bellingham

  • In Bellingham, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Cumming.
  • A higher percentage of residents in Cumming hold a high school diploma at 13.6% compared to 8.8% in Bellingham.
  • The percentage of residents with less than a high school education is higher in Bellingham at 6.2%, 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 28.9% in Bellingham.

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.