Demographics details for Santa monica, CA vs Dighton, MA

Population Overview

Compare main population characteristics in Santa monica, CA vs Dighton, MA.

Data Santa monica Dighton
Population 89,947 7,891
Median Age 42.1 years 42.0 years
Median Income $106,797 $77,750
Married Families 35.0% 64.0%
Poverty Level 11% 5%
Unemployment Rate 5.8 3.5

Population Comparison: Santa monica vs Dighton

  • In Santa monica, the population is higher at 89,947, compared to 7,891 in Dighton.
  • Residents in Santa monica have a higher median age of 42.1 years compared to 42.0 years in Dighton.
  • Santa monica has a higher median income of $106,797 compared to $77,750 in Dighton.
  • In Dighton, the percentage of married families is higher at 64.0%, compared to 35.0% in Santa monica.
  • Santa monica has a higher poverty level at 11% compared to 5% in Dighton.
  • The unemployment rate in Santa monica is higher at 5.8%, compared to 3.5% in Dighton.

Demographics

Demographics Santa monica vs Dighton provide insight into the diversity of the communities to compare.

Demographic Santa monica Dighton
Black 5 Data is updating
White 55 96
Asian 9 1
Hispanic 18 2
Two or More Races 12 1
American Indian 1 Data is updating

Demographics Comparison: Santa monica vs Dighton

  • A higher percentage of Black residents are in Santa monica at 5% compared to 0% in Dighton.
  • The percentage of White residents is higher in Dighton at 96% compared to 55% in Santa monica.
  • The Asian population is larger in Santa monica at 9% compared to 1% in Dighton.
  • The Hispanic community is larger in Santa monica at 18% compared to 2% in Dighton.
  • More residents identify as two or more races in Santa monica at 12% compared to 1% in Dighton.
  • A greater percentage of American Indian residents live in Santa monica at 1% compared to 0% in Dighton.

Health Statistics

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

Health Metric Santa monica Dighton
Mental Health Not Good 13.5% Data is updating%
Physical Health Not Good 8.1% Data is updating%
Depression 16.6% Data is updating%
Smoking 7.5% Data is updating%
Binge Drinking 17.2% Data is updating%
Obesity 24.1% Data is updating%
Disability Percentage 9.0% Data is updating%

Health Statistics Comparison: Santa monica vs Dighton

  • More residents in Santa monica report poor mental health at 13.5% compared to 0.0% in Dighton.
  • Depression is more prevalent in Santa monica at 16.6% compared to 0.0% in Dighton.
  • Smoking is more prevalent in Santa monica at 7.5% compared to 0.0% in Dighton.
  • Binge drinking is more common in Santa monica at 17.2% compared to 0.0% in Dighton.
  • Obesity rates are higher in Santa monica at 24.1% compared to 0.0% in Dighton.
  • Disability percentages are higher in Santa monica at 9.0% compared to 0.0% in Dighton.

Education Levels

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

Education Level Santa monica Dighton
No Schooling 1.1% (950) 0.0% (Data is updating)
High School Diploma 6.2% (5,554) 0.0% (Data is updating)
Less than High School 7.9% (7,118) 0.0% (Data is updating)
Bachelor's Degree and Higher 55.4% (49,805) 0.0% (Data is updating)

Education Levels Comparison: Santa monica vs Dighton

  • A higher percentage of residents in Santa monica have no formal schooling at 1.1% compared to 0.0% in Dighton.
  • A higher percentage of residents in Santa monica hold a high school diploma at 6.2% compared to 0.0% in Dighton.
  • More residents in Santa monica have less than a high school education at 7.9% compared to 0.0% in Dighton.
  • A higher percentage of residents in Santa monica hold a bachelor's degree or higher at 55.4% compared to 0.0% in Dighton.

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.