Demographics details for Richmond, MA vs New london, CT

Population Overview

Compare main population characteristics in Richmond, MA vs New london, CT.

Data Richmond New london
Population 1,475 27,980
Median Age 47.5 years 35.5 years
Median Income $90,000 $56,237
Married Families 54.0% 24.0%
Poverty Level 5% 12%
Unemployment Rate 4.2 3.6

Population Comparison: Richmond vs New london

  • The population in New london is higher at 27,980, compared to 1,475 in Richmond.
  • Residents in Richmond have a higher median age of 47.5 years compared to 35.5 years in New london.
  • Richmond has a higher median income of $90,000 compared to $56,237 in New london.
  • A higher percentage of married families is found in Richmond at 54.0% compared to 24.0% in New london.
  • The poverty level is higher in New london at 12%, compared to 5% in Richmond.
  • The unemployment rate in Richmond is higher at 4.2%, compared to 3.6% in New london.

Demographics

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

Demographic Richmond New london
Black Data is updating 17
White 95 41
Asian 1 2
Hispanic 2 29
Two or More Races 2 11
American Indian Data is updating Data is updating

Demographics Comparison: Richmond vs New london

  • In New london, the percentage of Black residents is higher at 17% compared to 0% in Richmond.
  • Richmond has a higher percentage of White residents at 95% compared to 41% in New london.
  • In New london, the Asian population stands at 2%, greater than 1% in Richmond.
  • New london has a higher percentage of Hispanic residents at 29%, compared to 2% in Richmond.
  • The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 2% in Richmond.
  • The percentage of American Indian residents is the same in both Richmond and New london at 0%.

Health Statistics

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

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

Health Statistics Comparison: Richmond vs New london

  • In New london, a higher percentage report poor mental health at 17.9% compared to 0.0% in Richmond.
  • Higher depression rates are seen in New london at 23.3% versus 0.0% in Richmond.
  • New london has a higher smoking rate at 19.5% compared to 0.0% in Richmond.
  • More residents engage in binge drinking in New london at 15.2% compared to 0.0% in Richmond.
  • New london has higher obesity rates at 37.1% compared to 0.0% in Richmond.
  • There is a higher percentage of disabled individuals in New london at 14.0% compared to 0.0% in Richmond.

Education Levels

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

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

Education Levels Comparison: Richmond vs New london

  • In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Richmond.
  • In New london, the rate of residents with high school diplomas is higher at 16.0% compared to 0.0% in Richmond.
  • The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 0.0% in Richmond.
  • In New london, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 0.0% in Richmond.

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.