Demographics details for Gill, CO vs Peculiar, MO

Population Overview

Compare main population characteristics in Gill, CO vs Peculiar, MO.

Data Gill Peculiar
Population 102 5,958
Median Age 37.0 years 36.2 years
Median Income $60,000 $91,783
Married Families 30.0% 34.0%
Poverty Level 12% Data is updating
Unemployment Rate 3.0 3.5

Population Comparison: Gill vs Peculiar

  • The population in Peculiar is higher at 5,958, compared to 102 in Gill.
  • Residents in Gill have a higher median age of 37.0 years compared to 36.2 years in Peculiar.
  • Peculiar has a higher median income of $91,783, compared to $60,000 in Gill.
  • In Peculiar, the percentage of married families is higher at 34.0%, compared to 30.0% in Gill.
  • Gill has a higher poverty level at 12% compared to 0% in Peculiar.
  • Peculiar has a higher unemployment rate at 3.5% compared to 3.0% in Gill.

Demographics

Demographics Gill vs Peculiar provide insight into the diversity of the communities to compare.

Demographic Gill Peculiar
Black Data is updating 3
White 100 83
Asian Data is updating Data is updating
Hispanic Data is updating 7
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Gill vs Peculiar

  • In Peculiar, the percentage of Black residents is higher at 3% compared to 0% in Gill.
  • Gill has a higher percentage of White residents at 100% compared to 83% in Peculiar.
  • Both Gill and Peculiar have the same percentage of Asian residents at 0%.
  • Peculiar has a higher percentage of Hispanic residents at 7%, compared to 0% in Gill.
  • The percentage of residents identifying as two or more races is higher in Peculiar at 7%, compared to 0% in Gill.
  • The percentage of American Indian residents is the same in both Gill and Peculiar at 0%.

Health Statistics

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

Health Metric Gill Peculiar
Mental Health Not Good Data is updating% 16.9%
Physical Health Not Good Data is updating% 10.9%
Depression Data is updating% 24.1%
Smoking Data is updating% 18.3%
Binge Drinking Data is updating% 18.0%
Obesity Data is updating% 37.0%
Disability Percentage Data is updating% 14.0%

Health Statistics Comparison: Gill vs Peculiar

  • In Peculiar, a higher percentage report poor mental health at 16.9% compared to 0.0% in Gill.
  • Higher depression rates are seen in Peculiar at 24.1% versus 0.0% in Gill.
  • Peculiar has a higher smoking rate at 18.3% compared to 0.0% in Gill.
  • More residents engage in binge drinking in Peculiar at 18.0% compared to 0.0% in Gill.
  • Peculiar has higher obesity rates at 37.0% compared to 0.0% in Gill.
  • There is a higher percentage of disabled individuals in Peculiar at 14.0% compared to 0.0% in Gill.

Education Levels

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

Education Level Gill Peculiar
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 13.2% (785)
Less than High School 0.0% (Data is updating) 9.9% (591)
Bachelor's Degree and Higher 0.0% (Data is updating) 13.2% (787)

Education Levels Comparison: Gill vs Peculiar

  • The percentage of residents with no formal schooling is the same in both Gill and Peculiar at 0.0%.
  • In Peculiar, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Gill.
  • The percentage of residents with less than a high school education is higher in Peculiar at 9.9%, compared to 0.0% in Gill.
  • In Peculiar, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 0.0% in Gill.

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.