Demographics details for Santa barbara, CA vs Griffin, GA

Population Overview

Compare main population characteristics in Santa barbara, CA vs Griffin, GA.

Data Santa barbara Griffin
Population 87,533 23,693
Median Age 39.6 years 33.2 years
Median Income $98,346 $42,047
Married Families 36.0% 26.0%
Poverty Level 14% 15%
Unemployment Rate 3.4 4.5

Population Comparison: Santa barbara vs Griffin

  • In Santa barbara, the population is higher at 87,533, compared to 23,693 in Griffin.
  • Residents in Santa barbara have a higher median age of 39.6 years compared to 33.2 years in Griffin.
  • Santa barbara has a higher median income of $98,346 compared to $42,047 in Griffin.
  • A higher percentage of married families is found in Santa barbara at 36.0% compared to 26.0% in Griffin.
  • The poverty level is higher in Griffin at 15%, compared to 14% in Santa barbara.
  • Griffin has a higher unemployment rate at 4.5% compared to 3.4% in Santa barbara.

Demographics

Demographics Santa barbara vs Griffin provide insight into the diversity of the communities to compare.

Demographic Santa barbara Griffin
Black 1 52
White 44 36
Asian 4 1
Hispanic 37 5
Two or More Races 13 5
American Indian 1 1

Demographics Comparison: Santa barbara vs Griffin

  • In Griffin, the percentage of Black residents is higher at 52% compared to 1% in Santa barbara.
  • Santa barbara has a higher percentage of White residents at 44% compared to 36% in Griffin.
  • The Asian population is larger in Santa barbara at 4% compared to 1% in Griffin.
  • The Hispanic community is larger in Santa barbara at 37% compared to 5% in Griffin.
  • More residents identify as two or more races in Santa barbara at 13% compared to 5% in Griffin.
  • The percentage of American Indian residents is the same in both Santa barbara and Griffin at 1%.

Health Statistics

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

Health Metric Santa barbara Griffin
Mental Health Not Good 14.8% 18.8%
Physical Health Not Good 10.1% 14.6%
Depression 19.2% 19.7%
Smoking 10.8% 22.4%
Binge Drinking 16.9% 13.4%
Obesity 28.5% 38.8%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: Santa barbara vs Griffin

  • In Griffin, a higher percentage report poor mental health at 18.8% compared to 14.8% in Santa barbara.
  • Higher depression rates are seen in Griffin at 19.7% versus 19.2% in Santa barbara.
  • Griffin has a higher smoking rate at 22.4% compared to 10.8% in Santa barbara.
  • Binge drinking is more common in Santa barbara at 16.9% compared to 13.4% in Griffin.
  • Griffin has higher obesity rates at 38.8% compared to 28.5% in Santa barbara.
  • There is a higher percentage of disabled individuals in Griffin at 13.0% compared to 10.0% in Santa barbara.

Education Levels

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

Education Level Santa barbara Griffin
No Schooling 1.5% (1,334) 2.2% (517)
High School Diploma 7.5% (6,587) 22.6% (5,347)
Less than High School 16.0% (13,982) 16.3% (3,859)
Bachelor's Degree and Higher 36.6% (32,079) 11.9% (2,819)

Education Levels Comparison: Santa barbara vs Griffin

  • In Griffin, a larger percentage of residents lack formal schooling at 2.2% compared to 1.5% in Santa barbara.
  • In Griffin, the rate of residents with high school diplomas is higher at 22.6% compared to 7.5% in Santa barbara.
  • The percentage of residents with less than a high school education is higher in Griffin at 16.3%, compared to 16.0% in Santa barbara.
  • A higher percentage of residents in Santa barbara hold a bachelor's degree or higher at 36.6% compared to 11.9% in Griffin.

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.