Demographics details for Ewa beach, HI vs Santa rosa, CA

Population Overview

Compare main population characteristics in Ewa beach, HI vs Santa rosa, CA.

Data Ewa beach Santa rosa
Population 15,167 177,181
Median Age 40.1 years 40.4 years
Median Income $114,207 $92,604
Married Families 39.0% 39.0%
Poverty Level 8% 10%
Unemployment Rate 2.5 4.2

Population Comparison: Ewa beach vs Santa rosa

  • The population in Santa rosa is higher at 177,181, compared to 15,167 in Ewa beach.
  • The median age in Santa rosa is higher at 40.4 years, compared to 40.1 years in Ewa beach.
  • Ewa beach has a higher median income of $114,207 compared to $92,604 in Santa rosa.
  • The percentage of married families is the same in both Ewa beach and Santa rosa at 39.0%.
  • The poverty level is higher in Santa rosa at 10%, compared to 8% in Ewa beach.
  • Santa rosa has a higher unemployment rate at 4.2% compared to 2.5% in Ewa beach.

Demographics

Demographics Ewa beach vs Santa rosa provide insight into the diversity of the communities to compare.

Demographic Ewa beach Santa rosa
Black Data is updating 2
White 7 46
Asian 54 6
Hispanic 11 34
Two or More Races 28 11
American Indian Data is updating 1

Demographics Comparison: Ewa beach vs Santa rosa

  • In Santa rosa, the percentage of Black residents is higher at 2% compared to 0% in Ewa beach.
  • The percentage of White residents is higher in Santa rosa at 46% compared to 7% in Ewa beach.
  • The Asian population is larger in Ewa beach at 54% compared to 6% in Santa rosa.
  • Santa rosa has a higher percentage of Hispanic residents at 34%, compared to 11% in Ewa beach.
  • More residents identify as two or more races in Ewa beach at 28% compared to 11% in Santa rosa.
  • In Santa rosa, the percentage of American Indian residents is higher at 1%, compared to 0% in Ewa beach.

Health Statistics

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

Health Metric Ewa beach Santa rosa
Mental Health Not Good 13.5% 16.0%
Physical Health Not Good 8.7% 10.5%
Depression 11.9% 20.3%
Smoking 13.0% 12.0%
Binge Drinking 16.8% 19.4%
Obesity 25.0% 29.1%
Disability Percentage 10.0% 12.0%

Health Statistics Comparison: Ewa beach vs Santa rosa

  • In Santa rosa, a higher percentage report poor mental health at 16.0% compared to 13.5% in Ewa beach.
  • Higher depression rates are seen in Santa rosa at 20.3% versus 11.9% in Ewa beach.
  • Smoking is more prevalent in Ewa beach at 13.0% compared to 12.0% in Santa rosa.
  • More residents engage in binge drinking in Santa rosa at 19.4% compared to 16.8% in Ewa beach.
  • Santa rosa has higher obesity rates at 29.1% compared to 25.0% in Ewa beach.
  • There is a higher percentage of disabled individuals in Santa rosa at 12.0% compared to 10.0% in Ewa beach.

Education Levels

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

Education Level Ewa beach Santa rosa
No Schooling 2.2% (336) 2.1% (3,760)
High School Diploma 23.9% (3,619) 10.9% (19,354)
Less than High School 9.3% (1,409) 19.8% (35,085)
Bachelor's Degree and Higher 14.8% (2,251) 24.9% (44,058)

Education Levels Comparison: Ewa beach vs Santa rosa

  • A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 2.1% in Santa rosa.
  • A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 10.9% in Santa rosa.
  • The percentage of residents with less than a high school education is higher in Santa rosa at 19.8%, compared to 9.3% in Ewa beach.
  • In Santa rosa, a larger share of residents have a bachelor's degree or higher at 24.9% compared to 14.8% in Ewa beach.

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.