Demographics details for Santa ana, CA vs Upper darby, PA

Population Overview

Compare main population characteristics in Santa ana, CA vs Upper darby, PA.

Data Santa ana Upper darby
Population 308,189 85,217
Median Age 33.4 years 35.7 years
Median Income $84,210 $67,579
Married Families 35.0% 34.0%
Poverty Level 14% 9%
Unemployment Rate 4.1 5.2

Population Comparison: Santa ana vs Upper darby

  • In Santa ana, the population is higher at 308,189, compared to 85,217 in Upper darby.
  • The median age in Upper darby is higher at 35.7 years, compared to 33.4 years in Santa ana.
  • Santa ana has a higher median income of $84,210 compared to $67,579 in Upper darby.
  • A higher percentage of married families is found in Santa ana at 35.0% compared to 34.0% in Upper darby.
  • Santa ana has a higher poverty level at 14% compared to 9% in Upper darby.
  • Upper darby has a higher unemployment rate at 5.2% compared to 4.1% in Santa ana.

Demographics

Demographics Santa ana vs Upper darby provide insight into the diversity of the communities to compare.

Demographic Santa ana Upper darby
Black 1 34
White -5 39
Asian 12 12
Hispanic 78 9
Two or More Races 13 6
American Indian 1 Data is updating

Demographics Comparison: Santa ana vs Upper darby

  • In Upper darby, the percentage of Black residents is higher at 34% compared to 1% in Santa ana.
  • The percentage of White residents is higher in Upper darby at 39% compared to -5% in Santa ana.
  • Both Santa ana and Upper darby have the same percentage of Asian residents at 12%.
  • The Hispanic community is larger in Santa ana at 78% compared to 9% in Upper darby.
  • More residents identify as two or more races in Santa ana at 13% compared to 6% in Upper darby.
  • A greater percentage of American Indian residents live in Santa ana at 1% compared to 0% in Upper darby.

Health Statistics

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

Health Metric Santa ana Upper darby
Mental Health Not Good 16.4% Data is updating%
Physical Health Not Good 13.8% Data is updating%
Depression 17.2% Data is updating%
Smoking 13.4% Data is updating%
Binge Drinking 14.6% Data is updating%
Obesity 31.6% Data is updating%
Disability Percentage 8.0% 12.0%

Health Statistics Comparison: Santa ana vs Upper darby

  • More residents in Santa ana report poor mental health at 16.4% compared to 0.0% in Upper darby.
  • Depression is more prevalent in Santa ana at 17.2% compared to 0.0% in Upper darby.
  • Smoking is more prevalent in Santa ana at 13.4% compared to 0.0% in Upper darby.
  • Binge drinking is more common in Santa ana at 14.6% compared to 0.0% in Upper darby.
  • Obesity rates are higher in Santa ana at 31.6% compared to 0.0% in Upper darby.
  • There is a higher percentage of disabled individuals in Upper darby at 12.0% compared to 8.0% in Santa ana.

Education Levels

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

Education Level Santa ana Upper darby
No Schooling 5.1% (15,819) 1.4% (1,162)
High School Diploma 14.7% (45,332) 17.6% (14,973)
Less than High School 42.9% (132,303) 10.3% (8,806)
Bachelor's Degree and Higher 11.6% (35,860) 22.2% (18,927)

Education Levels Comparison: Santa ana vs Upper darby

  • A higher percentage of residents in Santa ana have no formal schooling at 5.1% compared to 1.4% in Upper darby.
  • In Upper darby, the rate of residents with high school diplomas is higher at 17.6% compared to 14.7% in Santa ana.
  • More residents in Santa ana have less than a high school education at 42.9% compared to 10.3% in Upper darby.
  • In Upper darby, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 11.6% in Santa ana.

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.