Demographics details for San clemente, CA vs Chester, MA

Population Overview

Compare main population characteristics in San clemente, CA vs Chester, MA.

Data San clemente Chester
Population 63,457 1,337
Median Age 44.2 years 41.0 years
Median Income $134,730 $78,889
Married Families 49.0% 64.0%
Poverty Level 7% 4%
Unemployment Rate 3.8 3.3

Population Comparison: San clemente vs Chester

  • In San clemente, the population is higher at 63,457, compared to 1,337 in Chester.
  • Residents in San clemente have a higher median age of 44.2 years compared to 41.0 years in Chester.
  • San clemente has a higher median income of $134,730 compared to $78,889 in Chester.
  • In Chester, the percentage of married families is higher at 64.0%, compared to 49.0% in San clemente.
  • San clemente has a higher poverty level at 7% compared to 4% in Chester.
  • The unemployment rate in San clemente is higher at 3.8%, compared to 3.3% in Chester.

Demographics

Demographics San clemente vs Chester provide insight into the diversity of the communities to compare.

Demographic San clemente Chester
Black 2 Data is updating
White 64 100
Asian 5 Data is updating
Hispanic 17 Data is updating
Two or More Races 12 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: San clemente vs Chester

  • A higher percentage of Black residents are in San clemente at 2% compared to 0% in Chester.
  • The percentage of White residents is higher in Chester at 100% compared to 64% in San clemente.
  • The Asian population is larger in San clemente at 5% compared to 0% in Chester.
  • The Hispanic community is larger in San clemente at 17% compared to 0% in Chester.
  • More residents identify as two or more races in San clemente at 12% compared to 0% in Chester.
  • The percentage of American Indian residents is the same in both San clemente and Chester at 0%.

Health Statistics

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

Health Metric San clemente Chester
Mental Health Not Good 14.2% Data is updating%
Physical Health Not Good 8.6% Data is updating%
Depression 18.9% Data is updating%
Smoking 8.9% Data is updating%
Binge Drinking 19.0% Data is updating%
Obesity 25.4% Data is updating%
Disability Percentage 9.0% Data is updating%

Health Statistics Comparison: San clemente vs Chester

  • More residents in San clemente report poor mental health at 14.2% compared to 0.0% in Chester.
  • Depression is more prevalent in San clemente at 18.9% compared to 0.0% in Chester.
  • Smoking is more prevalent in San clemente at 8.9% compared to 0.0% in Chester.
  • Binge drinking is more common in San clemente at 19.0% compared to 0.0% in Chester.
  • Obesity rates are higher in San clemente at 25.4% compared to 0.0% in Chester.
  • Disability percentages are higher in San clemente at 9.0% compared to 0.0% in Chester.

Education Levels

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

Education Level San clemente Chester
No Schooling 0.9% (574) 0.0% (Data is updating)
High School Diploma 8.4% (5,352) 0.0% (Data is updating)
Less than High School 7.8% (4,957) 0.0% (Data is updating)
Bachelor's Degree and Higher 36.1% (22,911) 0.0% (Data is updating)

Education Levels Comparison: San clemente vs Chester

  • A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.0% in Chester.
  • A higher percentage of residents in San clemente hold a high school diploma at 8.4% compared to 0.0% in Chester.
  • More residents in San clemente have less than a high school education at 7.8% compared to 0.0% in Chester.
  • A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 0.0% in Chester.

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.