Demographics details for South holland, IL vs Newton, MA

Population Overview

Compare main population characteristics in South holland, IL vs Newton, MA.

Data South holland Newton
Population 20,685 87,381
Median Age 42.6 years 41.7 years
Median Income $79,567 $176,373
Married Families 34.0% 47.0%
Poverty Level 10% 5%
Unemployment Rate 5.2 3.5

Population Comparison: South holland vs Newton

  • The population in Newton is higher at 87,381, compared to 20,685 in South holland.
  • Residents in South holland have a higher median age of 42.6 years compared to 41.7 years in Newton.
  • Newton has a higher median income of $176,373, compared to $79,567 in South holland.
  • In Newton, the percentage of married families is higher at 47.0%, compared to 34.0% in South holland.
  • South holland has a higher poverty level at 10% compared to 5% in Newton.
  • The unemployment rate in South holland is higher at 5.2%, compared to 3.5% in Newton.

Demographics

Demographics South holland vs Newton provide insight into the diversity of the communities to compare.

Demographic South holland Newton
Black 83 3
White 8 73
Asian 1 14
Hispanic 5 4
Two or More Races 3 6
American Indian Data is updating Data is updating

Demographics Comparison: South holland vs Newton

  • A higher percentage of Black residents are in South holland at 83% compared to 3% in Newton.
  • The percentage of White residents is higher in Newton at 73% compared to 8% in South holland.
  • In Newton, the Asian population stands at 14%, greater than 1% in South holland.
  • The Hispanic community is larger in South holland at 5% compared to 4% in Newton.
  • The percentage of residents identifying as two or more races is higher in Newton at 6%, compared to 3% in South holland.
  • The percentage of American Indian residents is the same in both South holland and Newton at 0%.

Health Statistics

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

Health Metric South holland Newton
Mental Health Not Good 14.8% 12.4%
Physical Health Not Good 10.9% 6.9%
Depression 15.1% 19.7%
Smoking 15.3% 7.3%
Binge Drinking 15.6% 19.1%
Obesity 37.3% 21.7%
Disability Percentage 13.0% 8.0%

Health Statistics Comparison: South holland vs Newton

  • More residents in South holland report poor mental health at 14.8% compared to 12.4% in Newton.
  • Higher depression rates are seen in Newton at 19.7% versus 15.1% in South holland.
  • Smoking is more prevalent in South holland at 15.3% compared to 7.3% in Newton.
  • More residents engage in binge drinking in Newton at 19.1% compared to 15.6% in South holland.
  • Obesity rates are higher in South holland at 37.3% compared to 21.7% in Newton.
  • Disability percentages are higher in South holland at 13.0% compared to 8.0% in Newton.

Education Levels

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

Education Level South holland Newton
No Schooling 0.5% (94) 0.5% (413)
High School Diploma 15.5% (3,210) 4.5% (3,941)
Less than High School 7.8% (1,623) 2.9% (2,554)
Bachelor's Degree and Higher 20.0% (4,142) 54.7% (47,769)

Education Levels Comparison: South holland vs Newton

  • The percentage of residents with no formal schooling is the same in both South holland and Newton at 0.5%.
  • A higher percentage of residents in South holland hold a high school diploma at 15.5% compared to 4.5% in Newton.
  • More residents in South holland have less than a high school education at 7.8% compared to 2.9% in Newton.
  • In Newton, a larger share of residents have a bachelor's degree or higher at 54.7% compared to 20.0% in South holland.

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.