Demographics details for San clemente, CA vs Jefferson city, MO

Population Overview

Compare main population characteristics in San clemente, CA vs Jefferson city, MO.

Data San clemente Jefferson city
Population 63,457 42,528
Median Age 44.2 years 38.5 years
Median Income $134,730 $63,649
Married Families 49.0% 37.0%
Poverty Level 7% 11%
Unemployment Rate 3.8 3.9

Population Comparison: San clemente vs Jefferson city

  • In San clemente, the population is higher at 63,457, compared to 42,528 in Jefferson city.
  • Residents in San clemente have a higher median age of 44.2 years compared to 38.5 years in Jefferson city.
  • San clemente has a higher median income of $134,730 compared to $63,649 in Jefferson city.
  • A higher percentage of married families is found in San clemente at 49.0% compared to 37.0% in Jefferson city.
  • The poverty level is higher in Jefferson city at 11%, compared to 7% in San clemente.
  • Jefferson city has a higher unemployment rate at 3.9% compared to 3.8% in San clemente.

Demographics

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

Demographic San clemente Jefferson city
Black 2 18
White 64 72
Asian 5 3
Hispanic 17 3
Two or More Races 12 4
American Indian Data is updating Data is updating

Demographics Comparison: San clemente vs Jefferson city

  • In Jefferson city, the percentage of Black residents is higher at 18% compared to 2% in San clemente.
  • The percentage of White residents is higher in Jefferson city at 72% compared to 64% in San clemente.
  • The Asian population is larger in San clemente at 5% compared to 3% in Jefferson city.
  • The Hispanic community is larger in San clemente at 17% compared to 3% in Jefferson city.
  • More residents identify as two or more races in San clemente at 12% compared to 4% in Jefferson city.
  • The percentage of American Indian residents is the same in both San clemente and Jefferson city at 0%.

Health Statistics

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

Health Metric San clemente Jefferson city
Mental Health Not Good 14.2% 17.1%
Physical Health Not Good 8.6% 11.6%
Depression 18.9% 22.6%
Smoking 8.9% 18.6%
Binge Drinking 19.0% 16.9%
Obesity 25.4% 37.4%
Disability Percentage 9.0% 11.0%

Health Statistics Comparison: San clemente vs Jefferson city

  • In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 14.2% in San clemente.
  • Higher depression rates are seen in Jefferson city at 22.6% versus 18.9% in San clemente.
  • Jefferson city has a higher smoking rate at 18.6% compared to 8.9% in San clemente.
  • Binge drinking is more common in San clemente at 19.0% compared to 16.9% in Jefferson city.
  • Jefferson city has higher obesity rates at 37.4% compared to 25.4% in San clemente.
  • There is a higher percentage of disabled individuals in Jefferson city at 11.0% 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 Jefferson city
No Schooling 0.9% (574) 0.5% (233)
High School Diploma 8.4% (5,352) 15.9% (6,767)
Less than High School 7.8% (4,957) 11.0% (4,659)
Bachelor's Degree and Higher 36.1% (22,911) 24.8% (10,543)

Education Levels Comparison: San clemente vs Jefferson city

  • A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.5% in Jefferson city.
  • In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 8.4% in San clemente.
  • The percentage of residents with less than a high school education is higher in Jefferson city at 11.0%, compared to 7.8% in San clemente.
  • A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 24.8% in Jefferson city.

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.