Demographics details for San clemente, CA vs South paris, ME

Population Overview

Compare main population characteristics in San clemente, CA vs South paris, ME.

Data San clemente South paris
Population 63,457 2,208
Median Age 44.2 years 39.5 years
Median Income $134,730 $42,321
Married Families 49.0% 30.0%
Poverty Level 7% 13%
Unemployment Rate 3.8 3.5

Population Comparison: San clemente vs South paris

  • In San clemente, the population is higher at 63,457, compared to 2,208 in South paris.
  • Residents in San clemente have a higher median age of 44.2 years compared to 39.5 years in South paris.
  • San clemente has a higher median income of $134,730 compared to $42,321 in South paris.
  • A higher percentage of married families is found in San clemente at 49.0% compared to 30.0% in South paris.
  • The poverty level is higher in South paris at 13%, compared to 7% in San clemente.
  • The unemployment rate in San clemente is higher at 3.8%, compared to 3.5% in South paris.

Demographics

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

Demographic San clemente South paris
Black 2 Data is updating
White 64 97
Asian 5 Data is updating
Hispanic 17 3
Two or More Races 12 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: San clemente vs South paris

  • A higher percentage of Black residents are in San clemente at 2% compared to 0% in South paris.
  • The percentage of White residents is higher in South paris at 97% compared to 64% in San clemente.
  • The Asian population is larger in San clemente at 5% compared to 0% in South paris.
  • The Hispanic community is larger in San clemente at 17% compared to 3% in South paris.
  • More residents identify as two or more races in San clemente at 12% compared to 0% in South paris.
  • The percentage of American Indian residents is the same in both San clemente and South paris at 0%.

Health Statistics

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

Health Metric San clemente South paris
Mental Health Not Good 14.2% 18.7%
Physical Health Not Good 8.6% 11.4%
Depression 18.9% 26.9%
Smoking 8.9% 20.1%
Binge Drinking 19.0% 18.1%
Obesity 25.4% 33.9%
Disability Percentage 9.0% 22.0%

Health Statistics Comparison: San clemente vs South paris

  • In South paris, a higher percentage report poor mental health at 18.7% compared to 14.2% in San clemente.
  • Higher depression rates are seen in South paris at 26.9% versus 18.9% in San clemente.
  • South paris has a higher smoking rate at 20.1% compared to 8.9% in San clemente.
  • Binge drinking is more common in San clemente at 19.0% compared to 18.1% in South paris.
  • South paris has higher obesity rates at 33.9% compared to 25.4% in San clemente.
  • There is a higher percentage of disabled individuals in South paris at 22.0% compared to 9.0% in San clemente.

Education Levels

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

Education Level San clemente South paris
No Schooling 0.9% (574) 0.2% (5)
High School Diploma 8.4% (5,352) 25.2% (557)
Less than High School 7.8% (4,957) 2.4% (54)
Bachelor's Degree and Higher 36.1% (22,911) 9.6% (213)

Education Levels Comparison: San clemente vs South paris

  • A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.2% in South paris.
  • In South paris, the rate of residents with high school diplomas is higher at 25.2% compared to 8.4% in San clemente.
  • More residents in San clemente have less than a high school education at 7.8% compared to 2.4% in South paris.
  • A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 9.6% in South paris.

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.