Demographics details for New london, CT vs Burlington, WV

Population Overview

Compare main population characteristics in New london, CT vs Burlington, WV.

Data New london Burlington
Population 27,980 182
Median Age 35.5 years 35.0 years
Median Income $56,237 $50,000
Married Families 24.0% 40.0%
Poverty Level 12% 15%
Unemployment Rate 3.6 5.0

Population Comparison: New london vs Burlington

  • In New london, the population is higher at 27,980, compared to 182 in Burlington.
  • Residents in New london have a higher median age of 35.5 years compared to 35.0 years in Burlington.
  • New london has a higher median income of $56,237 compared to $50,000 in Burlington.
  • In Burlington, the percentage of married families is higher at 40.0%, compared to 24.0% in New london.
  • The poverty level is higher in Burlington at 15%, compared to 12% in New london.
  • Burlington has a higher unemployment rate at 5.0% compared to 3.6% in New london.

Demographics

Demographics New london vs Burlington provide insight into the diversity of the communities to compare.

Demographic New london Burlington
Black 17 Data is updating
White 41 100
Asian 2 Data is updating
Hispanic 29 Data is updating
Two or More Races 11 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: New london vs Burlington

  • A higher percentage of Black residents are in New london at 17% compared to 0% in Burlington.
  • The percentage of White residents is higher in Burlington at 100% compared to 41% in New london.
  • The Asian population is larger in New london at 2% compared to 0% in Burlington.
  • The Hispanic community is larger in New london at 29% compared to 0% in Burlington.
  • More residents identify as two or more races in New london at 11% compared to 0% in Burlington.
  • The percentage of American Indian residents is the same in both New london and Burlington at 0%.

Health Statistics

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

Health Metric New london Burlington
Mental Health Not Good 17.9% Data is updating%
Physical Health Not Good 12.5% Data is updating%
Depression 23.3% Data is updating%
Smoking 19.5% Data is updating%
Binge Drinking 15.2% Data is updating%
Obesity 37.1% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: New london vs Burlington

  • More residents in New london report poor mental health at 17.9% compared to 0.0% in Burlington.
  • Depression is more prevalent in New london at 23.3% compared to 0.0% in Burlington.
  • Smoking is more prevalent in New london at 19.5% compared to 0.0% in Burlington.
  • Binge drinking is more common in New london at 15.2% compared to 0.0% in Burlington.
  • Obesity rates are higher in New london at 37.1% compared to 0.0% in Burlington.
  • Disability percentages are higher in New london at 14.0% compared to 0.0% in Burlington.

Education Levels

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

Education Level New london Burlington
No Schooling 1.4% (399) 0.0% (Data is updating)
High School Diploma 16.0% (4,487) 0.0% (Data is updating)
Less than High School 13.7% (3,830) 0.0% (Data is updating)
Bachelor's Degree and Higher 16.9% (4,738) 0.0% (Data is updating)

Education Levels Comparison: New london vs Burlington

  • A higher percentage of residents in New london have no formal schooling at 1.4% compared to 0.0% in Burlington.
  • A higher percentage of residents in New london hold a high school diploma at 16.0% compared to 0.0% in Burlington.
  • More residents in New london have less than a high school education at 13.7% compared to 0.0% in Burlington.
  • A higher percentage of residents in New london hold a bachelor's degree or higher at 16.9% compared to 0.0% in Burlington.

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.