Demographics details for San clemente, CA vs Bethlehem, PA

Population Overview

Compare main population characteristics in San clemente, CA vs Bethlehem, PA.

Data San clemente Bethlehem
Population 63,457 77,617
Median Age 44.2 years 35.9 years
Median Income $134,730 $62,072
Married Families 49.0% 29.0%
Poverty Level 7% 13%
Unemployment Rate 3.8 3.5

Population Comparison: San clemente vs Bethlehem

  • The population in Bethlehem is higher at 77,617, compared to 63,457 in San clemente.
  • Residents in San clemente have a higher median age of 44.2 years compared to 35.9 years in Bethlehem.
  • San clemente has a higher median income of $134,730 compared to $62,072 in Bethlehem.
  • A higher percentage of married families is found in San clemente at 49.0% compared to 29.0% in Bethlehem.
  • The poverty level is higher in Bethlehem at 13%, compared to 7% in San clemente.
  • The unemployment rate in San clemente is higher at 3.8%, compared to 3.5% in Bethlehem.

Demographics

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

Demographic San clemente Bethlehem
Black 2 9
White 64 47
Asian 5 3
Hispanic 17 30
Two or More Races 12 11
American Indian Data is updating Data is updating

Demographics Comparison: San clemente vs Bethlehem

  • In Bethlehem, the percentage of Black residents is higher at 9% compared to 2% in San clemente.
  • San clemente has a higher percentage of White residents at 64% compared to 47% in Bethlehem.
  • The Asian population is larger in San clemente at 5% compared to 3% in Bethlehem.
  • Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 17% in San clemente.
  • More residents identify as two or more races in San clemente at 12% compared to 11% in Bethlehem.
  • The percentage of American Indian residents is the same in both San clemente and Bethlehem at 0%.

Health Statistics

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

Health Metric San clemente Bethlehem
Mental Health Not Good 14.2% 16.9%
Physical Health Not Good 8.6% 12.1%
Depression 18.9% 21.8%
Smoking 8.9% 18.4%
Binge Drinking 19.0% 17.6%
Obesity 25.4% 34.7%
Disability Percentage 9.0% 13.0%

Health Statistics Comparison: San clemente vs Bethlehem

  • In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 14.2% in San clemente.
  • Higher depression rates are seen in Bethlehem at 21.8% versus 18.9% in San clemente.
  • Bethlehem has a higher smoking rate at 18.4% compared to 8.9% in San clemente.
  • Binge drinking is more common in San clemente at 19.0% compared to 17.6% in Bethlehem.
  • Bethlehem has higher obesity rates at 34.7% compared to 25.4% in San clemente.
  • There is a higher percentage of disabled individuals in Bethlehem at 13.0% 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 Bethlehem
No Schooling 0.9% (574) 0.6% (452)
High School Diploma 8.4% (5,352) 16.9% (13,125)
Less than High School 7.8% (4,957) 12.9% (10,045)
Bachelor's Degree and Higher 36.1% (22,911) 22.0% (17,044)

Education Levels Comparison: San clemente vs Bethlehem

  • A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.6% in Bethlehem.
  • In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 8.4% in San clemente.
  • The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, 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 22.0% in Bethlehem.

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.