Demographics details for Grand junction, CO vs Sterling, OK

Population Overview

Compare main population characteristics in Grand junction, CO vs Sterling, OK.

Data Grand junction Sterling
Population 68,034 678
Median Age 39.9 years 39.7 years
Median Income $62,993 $64,464
Married Families 35.0% 47.0%
Poverty Level 10% 12%
Unemployment Rate 4.7 3.5

Population Comparison: Grand junction vs Sterling

  • In Grand junction, the population is higher at 68,034, compared to 678 in Sterling.
  • Residents in Grand junction have a higher median age of 39.9 years compared to 39.7 years in Sterling.
  • Sterling has a higher median income of $64,464, compared to $62,993 in Grand junction.
  • In Sterling, the percentage of married families is higher at 47.0%, compared to 35.0% in Grand junction.
  • The poverty level is higher in Sterling at 12%, compared to 10% in Grand junction.
  • The unemployment rate in Grand junction is higher at 4.7%, compared to 3.5% in Sterling.

Demographics

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

Demographic Grand junction Sterling
Black 1 Data is updating
White 73 82
Asian 1 1
Hispanic 16 6
Two or More Races 8 11
American Indian 1 Data is updating

Demographics Comparison: Grand junction vs Sterling

  • A higher percentage of Black residents are in Grand junction at 1% compared to 0% in Sterling.
  • The percentage of White residents is higher in Sterling at 82% compared to 73% in Grand junction.
  • Both Grand junction and Sterling have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Grand junction at 16% compared to 6% in Sterling.
  • The percentage of residents identifying as two or more races is higher in Sterling at 11%, compared to 8% in Grand junction.
  • A greater percentage of American Indian residents live in Grand junction at 1% compared to 0% in Sterling.

Health Statistics

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

Health Metric Grand junction Sterling
Mental Health Not Good 17.8% 17.9%
Physical Health Not Good 11.8% 12.2%
Depression 24.5% 28.2%
Smoking 17.3% 20.1%
Binge Drinking 19.2% 16.4%
Obesity 29.2% 42.3%
Disability Percentage 15.0% 40.0%

Health Statistics Comparison: Grand junction vs Sterling

  • In Sterling, a higher percentage report poor mental health at 17.9% compared to 17.8% in Grand junction.
  • Higher depression rates are seen in Sterling at 28.2% versus 24.5% in Grand junction.
  • Sterling has a higher smoking rate at 20.1% compared to 17.3% in Grand junction.
  • Binge drinking is more common in Grand junction at 19.2% compared to 16.4% in Sterling.
  • Sterling has higher obesity rates at 42.3% compared to 29.2% in Grand junction.
  • There is a higher percentage of disabled individuals in Sterling at 40.0% compared to 15.0% in Grand junction.

Education Levels

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

Education Level Grand junction Sterling
No Schooling 0.4% (245) 0.0% (Data is updating)
High School Diploma 13.9% (9,476) 45.0% (305)
Less than High School 9.7% (6,605) 11.2% (76)
Bachelor's Degree and Higher 23.8% (16,201) 6.5% (44)

Education Levels Comparison: Grand junction vs Sterling

  • A higher percentage of residents in Grand junction have no formal schooling at 0.4% compared to 0.0% in Sterling.
  • In Sterling, the rate of residents with high school diplomas is higher at 45.0% compared to 13.9% in Grand junction.
  • The percentage of residents with less than a high school education is higher in Sterling at 11.2%, compared to 9.7% in Grand junction.
  • A higher percentage of residents in Grand junction hold a bachelor's degree or higher at 23.8% compared to 6.5% in Sterling.

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.