Demographics details for Palmer, MA vs San clemente, CA

Population Overview

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

Data Palmer San clemente
Population 3,900 63,457
Median Age 42.0 years 44.2 years
Median Income $65,000 $134,730
Married Families 55.0% 49.0%
Poverty Level 10% 7%
Unemployment Rate 3.5 3.8

Population Comparison: Palmer vs San clemente

  • The population in San clemente is higher at 63,457, compared to 3,900 in Palmer.
  • The median age in San clemente is higher at 44.2 years, compared to 42.0 years in Palmer.
  • San clemente has a higher median income of $134,730, compared to $65,000 in Palmer.
  • A higher percentage of married families is found in Palmer at 55.0% compared to 49.0% in San clemente.
  • Palmer has a higher poverty level at 10% compared to 7% in San clemente.
  • San clemente has a higher unemployment rate at 3.8% compared to 3.5% in Palmer.

Demographics

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

Demographic Palmer San clemente
Black 1 2
White 96 64
Asian 1 5
Hispanic 2 17
Two or More Races Data is updating 12
American Indian Data is updating Data is updating

Demographics Comparison: Palmer vs San clemente

  • In San clemente, the percentage of Black residents is higher at 2% compared to 1% in Palmer.
  • Palmer has a higher percentage of White residents at 96% compared to 64% in San clemente.
  • In San clemente, the Asian population stands at 5%, greater than 1% in Palmer.
  • San clemente has a higher percentage of Hispanic residents at 17%, compared to 2% in Palmer.
  • The percentage of residents identifying as two or more races is higher in San clemente at 12%, compared to 0% in Palmer.
  • The percentage of American Indian residents is the same in both Palmer and San clemente at 0%.

Health Statistics

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

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

Health Statistics Comparison: Palmer vs San clemente

  • In San clemente, a higher percentage report poor mental health at 14.2% compared to 0.0% in Palmer.
  • Higher depression rates are seen in San clemente at 18.9% versus 0.0% in Palmer.
  • San clemente has a higher smoking rate at 8.9% compared to 0.0% in Palmer.
  • More residents engage in binge drinking in San clemente at 19.0% compared to 0.0% in Palmer.
  • San clemente has higher obesity rates at 25.4% compared to 0.0% in Palmer.
  • There is a higher percentage of disabled individuals in San clemente at 9.0% compared to 0.0% in Palmer.

Education Levels

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

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

Education Levels Comparison: Palmer vs San clemente

  • In San clemente, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Palmer.
  • In San clemente, the rate of residents with high school diplomas is higher at 8.4% compared to 0.0% in Palmer.
  • The percentage of residents with less than a high school education is higher in San clemente at 7.8%, compared to 0.0% in Palmer.
  • In San clemente, a larger share of residents have a bachelor's degree or higher at 36.1% compared to 0.0% in Palmer.

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.