Demographics details for Pittsford, VT vs Maryville, MO

Population Overview

Compare main population characteristics in Pittsford, VT vs Maryville, MO.

Data Pittsford Maryville
Population 2,807 10,461
Median Age 42.0 years 25.0 years
Median Income $65,000 $49,144
Married Families 60.0% 28.0%
Poverty Level 5% 15%
Unemployment Rate 1.7 3.5

Population Comparison: Pittsford vs Maryville

  • The population in Maryville is higher at 10,461, compared to 2,807 in Pittsford.
  • Residents in Pittsford have a higher median age of 42.0 years compared to 25.0 years in Maryville.
  • Pittsford has a higher median income of $65,000 compared to $49,144 in Maryville.
  • A higher percentage of married families is found in Pittsford at 60.0% compared to 28.0% in Maryville.
  • The poverty level is higher in Maryville at 15%, compared to 5% in Pittsford.
  • Maryville has a higher unemployment rate at 3.5% compared to 1.7% in Pittsford.

Demographics

Demographics Pittsford vs Maryville provide insight into the diversity of the communities to compare.

Demographic Pittsford Maryville
Black Data is updating 4
White 97 89
Asian 1 2
Hispanic 1 3
Two or More Races 1 2
American Indian Data is updating Data is updating

Demographics Comparison: Pittsford vs Maryville

  • In Maryville, the percentage of Black residents is higher at 4% compared to 0% in Pittsford.
  • Pittsford has a higher percentage of White residents at 97% compared to 89% in Maryville.
  • In Maryville, the Asian population stands at 2%, greater than 1% in Pittsford.
  • Maryville has a higher percentage of Hispanic residents at 3%, compared to 1% in Pittsford.
  • The percentage of residents identifying as two or more races is higher in Maryville at 2%, compared to 1% in Pittsford.
  • The percentage of American Indian residents is the same in both Pittsford and Maryville at 0%.

Health Statistics

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

Health Metric Pittsford Maryville
Mental Health Not Good Data is updating% 18.1%
Physical Health Not Good Data is updating% 13.2%
Depression Data is updating% 23.8%
Smoking Data is updating% 20.1%
Binge Drinking Data is updating% 17.9%
Obesity Data is updating% 40.4%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Pittsford vs Maryville

  • In Maryville, a higher percentage report poor mental health at 18.1% compared to 0.0% in Pittsford.
  • Higher depression rates are seen in Maryville at 23.8% versus 0.0% in Pittsford.
  • Maryville has a higher smoking rate at 20.1% compared to 0.0% in Pittsford.
  • More residents engage in binge drinking in Maryville at 17.9% compared to 0.0% in Pittsford.
  • Maryville has higher obesity rates at 40.4% compared to 0.0% in Pittsford.
  • There is a higher percentage of disabled individuals in Maryville at 11.0% compared to 0.0% in Pittsford.

Education Levels

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

Education Level Pittsford Maryville
No Schooling 0.0% (Data is updating) 0.1% (15)
High School Diploma 0.0% (Data is updating) 14.1% (1,471)
Less than High School 0.0% (Data is updating) 5.0% (522)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.7% (1,743)

Education Levels Comparison: Pittsford vs Maryville

  • In Maryville, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Pittsford.
  • In Maryville, the rate of residents with high school diplomas is higher at 14.1% compared to 0.0% in Pittsford.
  • The percentage of residents with less than a high school education is higher in Maryville at 5.0%, compared to 0.0% in Pittsford.
  • In Maryville, a larger share of residents have a bachelor's degree or higher at 16.7% compared to 0.0% in Pittsford.

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.