Demographics details for Fall river, MA vs South windsor, CT

Population Overview

Compare main population characteristics in Fall river, MA vs South windsor, CT.

Data Fall river South windsor
Population 93,682 26,054
Median Age 39.2 years 42.0 years
Median Income $52,734 $90,964
Married Families 32.0% 62.0%
Poverty Level 16% 5%
Unemployment Rate 5.6 2.2

Population Comparison: Fall river vs South windsor

  • In Fall river, the population is higher at 93,682, compared to 26,054 in South windsor.
  • The median age in South windsor is higher at 42.0 years, compared to 39.2 years in Fall river.
  • South windsor has a higher median income of $90,964, compared to $52,734 in Fall river.
  • In South windsor, the percentage of married families is higher at 62.0%, compared to 32.0% in Fall river.
  • Fall river has a higher poverty level at 16% compared to 5% in South windsor.
  • The unemployment rate in Fall river is higher at 5.6%, compared to 2.2% in South windsor.

Demographics

Demographics Fall river vs South windsor provide insight into the diversity of the communities to compare.

Demographic Fall river South windsor
Black 6 9
White 68 85
Asian 3 3
Hispanic 12 3
Two or More Races 11 2
American Indian Data is updating Data is updating

Demographics Comparison: Fall river vs South windsor

  • In South windsor, the percentage of Black residents is higher at 9% compared to 6% in Fall river.
  • The percentage of White residents is higher in South windsor at 85% compared to 68% in Fall river.
  • Both Fall river and South windsor have the same percentage of Asian residents at 3%.
  • The Hispanic community is larger in Fall river at 12% compared to 3% in South windsor.
  • More residents identify as two or more races in Fall river at 11% compared to 2% in South windsor.
  • The percentage of American Indian residents is the same in both Fall river and South windsor at 0%.

Health Statistics

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

Health Metric Fall river South windsor
Mental Health Not Good 19.7% Data is updating%
Physical Health Not Good 13.3% Data is updating%
Depression 25.0% Data is updating%
Smoking 23.0% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 32.8% Data is updating%
Disability Percentage 20.0% Data is updating%

Health Statistics Comparison: Fall river vs South windsor

  • More residents in Fall river report poor mental health at 19.7% compared to 0.0% in South windsor.
  • Depression is more prevalent in Fall river at 25.0% compared to 0.0% in South windsor.
  • Smoking is more prevalent in Fall river at 23.0% compared to 0.0% in South windsor.
  • Binge drinking is more common in Fall river at 16.7% compared to 0.0% in South windsor.
  • Obesity rates are higher in Fall river at 32.8% compared to 0.0% in South windsor.
  • Disability percentages are higher in Fall river at 20.0% compared to 0.0% in South windsor.

Education Levels

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

Education Level Fall river South windsor
No Schooling 2.5% (2,365) 0.0% (Data is updating)
High School Diploma 19.4% (18,187) 0.0% (Data is updating)
Less than High School 32.4% (30,324) 0.0% (Data is updating)
Bachelor's Degree and Higher 11.3% (10,601) 0.0% (Data is updating)

Education Levels Comparison: Fall river vs South windsor

  • A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 0.0% in South windsor.
  • A higher percentage of residents in Fall river hold a high school diploma at 19.4% compared to 0.0% in South windsor.
  • More residents in Fall river have less than a high school education at 32.4% compared to 0.0% in South windsor.
  • A higher percentage of residents in Fall river hold a bachelor's degree or higher at 11.3% compared to 0.0% in South windsor.

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.