Demographics details for San ramon, CA vs Pittsburg, KS

Population Overview

Compare main population characteristics in San ramon, CA vs Pittsburg, KS.

Data San ramon Pittsburg
Population 85,953 20,658
Median Age 40.5 years 25.7 years
Median Income $190,829 $42,371
Married Families 50.0% 28.0%
Poverty Level 3% 23%
Unemployment Rate 4.3 3.1

Population Comparison: San ramon vs Pittsburg

  • In San ramon, the population is higher at 85,953, compared to 20,658 in Pittsburg.
  • Residents in San ramon have a higher median age of 40.5 years compared to 25.7 years in Pittsburg.
  • San ramon has a higher median income of $190,829 compared to $42,371 in Pittsburg.
  • A higher percentage of married families is found in San ramon at 50.0% compared to 28.0% in Pittsburg.
  • The poverty level is higher in Pittsburg at 23%, compared to 3% in San ramon.
  • The unemployment rate in San ramon is higher at 4.3%, compared to 3.1% in Pittsburg.

Demographics

Demographics San ramon vs Pittsburg provide insight into the diversity of the communities to compare.

Demographic San ramon Pittsburg
Black 3 3
White 33 78
Asian 48 3
Hispanic 8 11
Two or More Races 8 5
American Indian Data is updating Data is updating

Demographics Comparison: San ramon vs Pittsburg

  • The percentage of Black residents is the same in both San ramon and Pittsburg at 3%.
  • The percentage of White residents is higher in Pittsburg at 78% compared to 33% in San ramon.
  • The Asian population is larger in San ramon at 48% compared to 3% in Pittsburg.
  • Pittsburg has a higher percentage of Hispanic residents at 11%, compared to 8% in San ramon.
  • More residents identify as two or more races in San ramon at 8% compared to 5% in Pittsburg.
  • The percentage of American Indian residents is the same in both San ramon and Pittsburg at 0%.

Health Statistics

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

Health Metric San ramon Pittsburg
Mental Health Not Good 11.6% 19.3%
Physical Health Not Good 6.7% 12.5%
Depression 14.9% 25.0%
Smoking 6.3% 23.9%
Binge Drinking 16.3% 19.7%
Obesity 18.9% 43.5%
Disability Percentage 6.0% 16.0%

Health Statistics Comparison: San ramon vs Pittsburg

  • In Pittsburg, a higher percentage report poor mental health at 19.3% compared to 11.6% in San ramon.
  • Higher depression rates are seen in Pittsburg at 25.0% versus 14.9% in San ramon.
  • Pittsburg has a higher smoking rate at 23.9% compared to 6.3% in San ramon.
  • More residents engage in binge drinking in Pittsburg at 19.7% compared to 16.3% in San ramon.
  • Pittsburg has higher obesity rates at 43.5% compared to 18.9% in San ramon.
  • There is a higher percentage of disabled individuals in Pittsburg at 16.0% compared to 6.0% in San ramon.

Education Levels

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

Education Level San ramon Pittsburg
No Schooling 0.7% (596) 0.7% (150)
High School Diploma 5.2% (4,459) 13.0% (2,686)
Less than High School 3.2% (2,726) 5.9% (1,222)
Bachelor's Degree and Higher 46.6% (40,044) 17.2% (3,562)

Education Levels Comparison: San ramon vs Pittsburg

  • The percentage of residents with no formal schooling is the same in both San ramon and Pittsburg at 0.7%.
  • In Pittsburg, the rate of residents with high school diplomas is higher at 13.0% compared to 5.2% in San ramon.
  • The percentage of residents with less than a high school education is higher in Pittsburg at 5.9%, compared to 3.2% in San ramon.
  • A higher percentage of residents in San ramon hold a bachelor's degree or higher at 46.6% compared to 17.2% in Pittsburg.

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.