Demographics details for New london, CT vs Prairie village, KS

Population Overview

Compare main population characteristics in New london, CT vs Prairie village, KS.

Data New london Prairie village
Population 27,980 22,947
Median Age 35.5 years 40.0 years
Median Income $56,237 $99,691
Married Families 24.0% 46.0%
Poverty Level 12% 5%
Unemployment Rate 3.6 2.5

Population Comparison: New london vs Prairie village

  • In New london, the population is higher at 27,980, compared to 22,947 in Prairie village.
  • The median age in Prairie village is higher at 40.0 years, compared to 35.5 years in New london.
  • Prairie village has a higher median income of $99,691, compared to $56,237 in New london.
  • In Prairie village, the percentage of married families is higher at 46.0%, compared to 24.0% in New london.
  • New london has a higher poverty level at 12% compared to 5% in Prairie village.
  • The unemployment rate in New london is higher at 3.6%, compared to 2.5% in Prairie village.

Demographics

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

Demographic New london Prairie village
Black 17 1
White 41 88
Asian 2 1
Hispanic 29 5
Two or More Races 11 5
American Indian Data is updating Data is updating

Demographics Comparison: New london vs Prairie village

  • A higher percentage of Black residents are in New london at 17% compared to 1% in Prairie village.
  • The percentage of White residents is higher in Prairie village at 88% compared to 41% in New london.
  • The Asian population is larger in New london at 2% compared to 1% in Prairie village.
  • The Hispanic community is larger in New london at 29% compared to 5% in Prairie village.
  • More residents identify as two or more races in New london at 11% compared to 5% in Prairie village.
  • The percentage of American Indian residents is the same in both New london and Prairie village at 0%.

Health Statistics

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

Health Metric New london Prairie village
Mental Health Not Good 17.9% 11.5%
Physical Health Not Good 12.5% 6.0%
Depression 23.3% 18.6%
Smoking 19.5% 7.8%
Binge Drinking 15.2% 20.8%
Obesity 37.1% 27.3%
Disability Percentage 14.0% 8.0%

Health Statistics Comparison: New london vs Prairie village

  • More residents in New london report poor mental health at 17.9% compared to 11.5% in Prairie village.
  • Depression is more prevalent in New london at 23.3% compared to 18.6% in Prairie village.
  • Smoking is more prevalent in New london at 19.5% compared to 7.8% in Prairie village.
  • More residents engage in binge drinking in Prairie village at 20.8% compared to 15.2% in New london.
  • Obesity rates are higher in New london at 37.1% compared to 27.3% in Prairie village.
  • Disability percentages are higher in New london at 14.0% compared to 8.0% in Prairie village.

Education Levels

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

Education Level New london Prairie village
No Schooling 1.4% (399) 0.2% (47)
High School Diploma 16.0% (4,487) 5.0% (1,136)
Less than High School 13.7% (3,830) 2.2% (515)
Bachelor's Degree and Higher 16.9% (4,738) 51.7% (11,869)

Education Levels Comparison: New london vs Prairie village

  • A higher percentage of residents in New london have no formal schooling at 1.4% compared to 0.2% in Prairie village.
  • A higher percentage of residents in New london hold a high school diploma at 16.0% compared to 5.0% in Prairie village.
  • More residents in New london have less than a high school education at 13.7% compared to 2.2% in Prairie village.
  • In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% compared to 16.9% in New london.

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.