Demographics details for Jefferson, NY vs Greeley, CO

Population Overview

Compare main population characteristics in Jefferson, NY vs Greeley, CO.

Data Jefferson Greeley
Population 1,410 109,209
Median Age 42.0 years 31.9 years
Median Income $55,000 $65,525
Married Families 50.0% 36.0%
Poverty Level 10% 12%
Unemployment Rate 4.5 4.8

Population Comparison: Jefferson vs Greeley

  • The population in Greeley is higher at 109,209, compared to 1,410 in Jefferson.
  • Residents in Jefferson have a higher median age of 42.0 years compared to 31.9 years in Greeley.
  • Greeley has a higher median income of $65,525, compared to $55,000 in Jefferson.
  • A higher percentage of married families is found in Jefferson at 50.0% compared to 36.0% in Greeley.
  • The poverty level is higher in Greeley at 12%, compared to 10% in Jefferson.
  • Greeley has a higher unemployment rate at 4.8% compared to 4.5% in Jefferson.

Demographics

Demographics Jefferson vs Greeley provide insight into the diversity of the communities to compare.

Demographic Jefferson Greeley
Black Data is updating 3
White 100 45
Asian Data is updating 1
Hispanic Data is updating 39
Two or More Races Data is updating 11
American Indian Data is updating 1

Demographics Comparison: Jefferson vs Greeley

  • In Greeley, the percentage of Black residents is higher at 3% compared to 0% in Jefferson.
  • Jefferson has a higher percentage of White residents at 100% compared to 45% in Greeley.
  • In Greeley, the Asian population stands at 1%, greater than 0% in Jefferson.
  • Greeley has a higher percentage of Hispanic residents at 39%, compared to 0% in Jefferson.
  • The percentage of residents identifying as two or more races is higher in Greeley at 11%, compared to 0% in Jefferson.
  • In Greeley, the percentage of American Indian residents is higher at 1%, compared to 0% in Jefferson.

Health Statistics

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

Health Metric Jefferson Greeley
Mental Health Not Good Data is updating% 17.0%
Physical Health Not Good Data is updating% 12.3%
Depression Data is updating% 21.4%
Smoking Data is updating% 16.5%
Binge Drinking Data is updating% 16.7%
Obesity Data is updating% 30.8%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Jefferson vs Greeley

  • In Greeley, a higher percentage report poor mental health at 17.0% compared to 0.0% in Jefferson.
  • Higher depression rates are seen in Greeley at 21.4% versus 0.0% in Jefferson.
  • Greeley has a higher smoking rate at 16.5% compared to 0.0% in Jefferson.
  • More residents engage in binge drinking in Greeley at 16.7% compared to 0.0% in Jefferson.
  • Greeley has higher obesity rates at 30.8% compared to 0.0% in Jefferson.
  • There is a higher percentage of disabled individuals in Greeley at 11.0% compared to 0.0% in Jefferson.

Education Levels

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

Education Level Jefferson Greeley
No Schooling 0.0% (Data is updating) 2.2% (2,416)
High School Diploma 0.0% (Data is updating) 12.0% (13,106)
Less than High School 0.0% (Data is updating) 19.3% (21,128)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.4% (17,877)

Education Levels Comparison: Jefferson vs Greeley

  • In Greeley, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Jefferson.
  • In Greeley, the rate of residents with high school diplomas is higher at 12.0% compared to 0.0% in Jefferson.
  • The percentage of residents with less than a high school education is higher in Greeley at 19.3%, compared to 0.0% in Jefferson.
  • In Greeley, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 0.0% in Jefferson.

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.