Demographics details for San ramon, CA vs Fishing creek, MD

Population Overview

Compare main population characteristics in San ramon, CA vs Fishing creek, MD.

Data San ramon Fishing creek
Population 85,953 235
Median Age 40.5 years 55.9 years
Median Income $190,829 $76,250
Married Families 50.0% 58.0%
Poverty Level 3% Data is updating
Unemployment Rate 4.3 3.5

Population Comparison: San ramon vs Fishing creek

  • In San ramon, the population is higher at 85,953, compared to 235 in Fishing creek.
  • The median age in Fishing creek is higher at 55.9 years, compared to 40.5 years in San ramon.
  • San ramon has a higher median income of $190,829 compared to $76,250 in Fishing creek.
  • In Fishing creek, the percentage of married families is higher at 58.0%, compared to 50.0% in San ramon.
  • San ramon has a higher poverty level at 3% compared to 0% in Fishing creek.
  • The unemployment rate in San ramon is higher at 4.3%, compared to 3.5% in Fishing creek.

Demographics

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

Demographic San ramon Fishing creek
Black 3 Data is updating
White 33 100
Asian 48 Data is updating
Hispanic 8 Data is updating
Two or More Races 8 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: San ramon vs Fishing creek

  • A higher percentage of Black residents are in San ramon at 3% compared to 0% in Fishing creek.
  • The percentage of White residents is higher in Fishing creek at 100% compared to 33% in San ramon.
  • The Asian population is larger in San ramon at 48% compared to 0% in Fishing creek.
  • The Hispanic community is larger in San ramon at 8% compared to 0% in Fishing creek.
  • More residents identify as two or more races in San ramon at 8% compared to 0% in Fishing creek.
  • The percentage of American Indian residents is the same in both San ramon and Fishing creek at 0%.

Health Statistics

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

Health Metric San ramon Fishing creek
Mental Health Not Good 11.6% 15.3%
Physical Health Not Good 6.7% 9.6%
Depression 14.9% 21.2%
Smoking 6.3% 15.1%
Binge Drinking 16.3% 16.8%
Obesity 18.9% 33.1%
Disability Percentage 6.0% 28.0%

Health Statistics Comparison: San ramon vs Fishing creek

  • In Fishing creek, a higher percentage report poor mental health at 15.3% compared to 11.6% in San ramon.
  • Higher depression rates are seen in Fishing creek at 21.2% versus 14.9% in San ramon.
  • Fishing creek has a higher smoking rate at 15.1% compared to 6.3% in San ramon.
  • More residents engage in binge drinking in Fishing creek at 16.8% compared to 16.3% in San ramon.
  • Fishing creek has higher obesity rates at 33.1% compared to 18.9% in San ramon.
  • There is a higher percentage of disabled individuals in Fishing creek at 28.0% 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 Fishing creek
No Schooling 0.7% (596) 0.0% (Data is updating)
High School Diploma 5.2% (4,459) 34.5% (81)
Less than High School 3.2% (2,726) 0.0% (Data is updating)
Bachelor's Degree and Higher 46.6% (40,044) 16.2% (38)

Education Levels Comparison: San ramon vs Fishing creek

  • A higher percentage of residents in San ramon have no formal schooling at 0.7% compared to 0.0% in Fishing creek.
  • In Fishing creek, the rate of residents with high school diplomas is higher at 34.5% compared to 5.2% in San ramon.
  • More residents in San ramon have less than a high school education at 3.2% compared to 0.0% in Fishing creek.
  • A higher percentage of residents in San ramon hold a bachelor's degree or higher at 46.6% compared to 16.2% in Fishing creek.

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.