Demographics details for Grand junction, CO vs Woodinville, WA

Population Overview

Compare main population characteristics in Grand junction, CO vs Woodinville, WA.

Data Grand junction Woodinville
Population 68,034 13,261
Median Age 39.9 years 40.6 years
Median Income $62,993 $142,500
Married Families 35.0% 49.0%
Poverty Level 10% Data is updating
Unemployment Rate 4.7 4.1

Population Comparison: Grand junction vs Woodinville

  • In Grand junction, the population is higher at 68,034, compared to 13,261 in Woodinville.
  • The median age in Woodinville is higher at 40.6 years, compared to 39.9 years in Grand junction.
  • Woodinville has a higher median income of $142,500, compared to $62,993 in Grand junction.
  • In Woodinville, the percentage of married families is higher at 49.0%, compared to 35.0% in Grand junction.
  • Grand junction has a higher poverty level at 10% compared to 0% in Woodinville.
  • The unemployment rate in Grand junction is higher at 4.7%, compared to 4.1% in Woodinville.

Demographics

Demographics Grand junction vs Woodinville provide insight into the diversity of the communities to compare.

Demographic Grand junction Woodinville
Black 1 2
White 73 67
Asian 1 17
Hispanic 16 9
Two or More Races 8 5
American Indian 1 Data is updating

Demographics Comparison: Grand junction vs Woodinville

  • In Woodinville, the percentage of Black residents is higher at 2% compared to 1% in Grand junction.
  • Grand junction has a higher percentage of White residents at 73% compared to 67% in Woodinville.
  • In Woodinville, the Asian population stands at 17%, greater than 1% in Grand junction.
  • The Hispanic community is larger in Grand junction at 16% compared to 9% in Woodinville.
  • More residents identify as two or more races in Grand junction at 8% compared to 5% in Woodinville.
  • A greater percentage of American Indian residents live in Grand junction at 1% compared to 0% in Woodinville.

Health Statistics

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

Health Metric Grand junction Woodinville
Mental Health Not Good 17.8% 15.0%
Physical Health Not Good 11.8% 8.2%
Depression 24.5% 24.3%
Smoking 17.3% 8.6%
Binge Drinking 19.2% 18.6%
Obesity 29.2% 23.0%
Disability Percentage 15.0% 11.0%

Health Statistics Comparison: Grand junction vs Woodinville

  • More residents in Grand junction report poor mental health at 17.8% compared to 15.0% in Woodinville.
  • Depression is more prevalent in Grand junction at 24.5% compared to 24.3% in Woodinville.
  • Smoking is more prevalent in Grand junction at 17.3% compared to 8.6% in Woodinville.
  • Binge drinking is more common in Grand junction at 19.2% compared to 18.6% in Woodinville.
  • Obesity rates are higher in Grand junction at 29.2% compared to 23.0% in Woodinville.
  • Disability percentages are higher in Grand junction at 15.0% compared to 11.0% in Woodinville.

Education Levels

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

Education Level Grand junction Woodinville
No Schooling 0.4% (245) 0.2% (21)
High School Diploma 13.9% (9,476) 7.4% (985)
Less than High School 9.7% (6,605) 2.6% (349)
Bachelor's Degree and Higher 23.8% (16,201) 46.5% (6,169)

Education Levels Comparison: Grand junction vs Woodinville

  • A higher percentage of residents in Grand junction have no formal schooling at 0.4% compared to 0.2% in Woodinville.
  • A higher percentage of residents in Grand junction hold a high school diploma at 13.9% compared to 7.4% in Woodinville.
  • More residents in Grand junction have less than a high school education at 9.7% compared to 2.6% in Woodinville.
  • In Woodinville, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 23.8% in Grand junction.

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.