Demographics details for Everest, KS vs North andover, MA

Population Overview

Compare main population characteristics in Everest, KS vs North andover, MA.

Data Everest North andover
Population 258 31,296
Median Age 34.5 years 38.0 years
Median Income $44,375 $114,000
Married Families 50.0% 6644.0%
Poverty Level 11% 5%
Unemployment Rate 3.5 3.8

Population Comparison: Everest vs North andover

  • The population in North andover is higher at 31,296, compared to 258 in Everest.
  • The median age in North andover is higher at 38.0 years, compared to 34.5 years in Everest.
  • North andover has a higher median income of $114,000, compared to $44,375 in Everest.
  • In North andover, the percentage of married families is higher at 6644.0%, compared to 50.0% in Everest.
  • Everest has a higher poverty level at 11% compared to 5% in North andover.
  • North andover has a higher unemployment rate at 3.8% compared to 3.5% in Everest.

Demographics

Demographics Everest vs North andover provide insight into the diversity of the communities to compare.

Demographic Everest North andover
Black 2 Data is updating
White 90 90
Asian Data is updating 5
Hispanic Data is updating 2
Two or More Races 6 3
American Indian 2 Data is updating

Demographics Comparison: Everest vs North andover

  • A higher percentage of Black residents are in Everest at 2% compared to 0% in North andover.
  • The percentage of White residents is the same in both Everest and North andover at 90%.
  • In North andover, the Asian population stands at 5%, greater than 0% in Everest.
  • North andover has a higher percentage of Hispanic residents at 2%, compared to 0% in Everest.
  • More residents identify as two or more races in Everest at 6% compared to 3% in North andover.
  • A greater percentage of American Indian residents live in Everest at 2% compared to 0% in North andover.

Health Statistics

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

Health Metric Everest North andover
Mental Health Not Good 17.3% Data is updating%
Physical Health Not Good 11.2% Data is updating%
Depression 22.4% Data is updating%
Smoking 20.4% Data is updating%
Binge Drinking 19.1% Data is updating%
Obesity 37.8% Data is updating%
Disability Percentage 50.0% Data is updating%

Health Statistics Comparison: Everest vs North andover

  • More residents in Everest report poor mental health at 17.3% compared to 0.0% in North andover.
  • Depression is more prevalent in Everest at 22.4% compared to 0.0% in North andover.
  • Smoking is more prevalent in Everest at 20.4% compared to 0.0% in North andover.
  • Binge drinking is more common in Everest at 19.1% compared to 0.0% in North andover.
  • Obesity rates are higher in Everest at 37.8% compared to 0.0% in North andover.
  • Disability percentages are higher in Everest at 50.0% compared to 0.0% in North andover.

Education Levels

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

Education Level Everest North andover
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 26.4% (68) 0.0% (Data is updating)
Less than High School 17.8% (46) 0.0% (Data is updating)
Bachelor's Degree and Higher 36.8% (95) 0.0% (Data is updating)

Education Levels Comparison: Everest vs North andover

  • The percentage of residents with no formal schooling is the same in both Everest and North andover at 0.0%.
  • A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 0.0% in North andover.
  • More residents in Everest have less than a high school education at 17.8% compared to 0.0% in North andover.
  • A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 0.0% in North andover.

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.