Demographics details for Enon valley, PA vs Santa monica, CA

Population Overview

Compare main population characteristics in Enon valley, PA vs Santa monica, CA.

Data Enon valley Santa monica
Population 295 89,947
Median Age 41.7 years 42.1 years
Median Income $56,875 $106,797
Married Families 50.0% 35.0%
Poverty Level Data is updating 11%
Unemployment Rate Data is updating 5.8

Population Comparison: Enon valley vs Santa monica

  • The population in Santa monica is higher at 89,947, compared to 295 in Enon valley.
  • The median age in Santa monica is higher at 42.1 years, compared to 41.7 years in Enon valley.
  • Santa monica has a higher median income of $106,797, compared to $56,875 in Enon valley.
  • A higher percentage of married families is found in Enon valley at 50.0% compared to 35.0% in Santa monica.
  • The poverty level is higher in Santa monica at 11%, compared to 0% in Enon valley.
  • Santa monica has a higher unemployment rate at 5.8% compared to 0.0% in Enon valley.

Demographics

Demographics Enon valley vs Santa monica provide insight into the diversity of the communities to compare.

Demographic Enon valley Santa monica
Black Data is updating 5
White 74 55
Asian 6 9
Hispanic Data is updating 18
Two or More Races 20 12
American Indian Data is updating 1

Demographics Comparison: Enon valley vs Santa monica

  • In Santa monica, the percentage of Black residents is higher at 5% compared to 0% in Enon valley.
  • Enon valley has a higher percentage of White residents at 74% compared to 55% in Santa monica.
  • In Santa monica, the Asian population stands at 9%, greater than 6% in Enon valley.
  • Santa monica has a higher percentage of Hispanic residents at 18%, compared to 0% in Enon valley.
  • More residents identify as two or more races in Enon valley at 20% compared to 12% in Santa monica.
  • In Santa monica, the percentage of American Indian residents is higher at 1%, compared to 0% in Enon valley.

Health Statistics

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

Health Metric Enon valley Santa monica
Mental Health Not Good 17.0% 13.5%
Physical Health Not Good 11.4% 8.1%
Depression 23.6% 16.6%
Smoking 19.6% 7.5%
Binge Drinking 20.0% 17.2%
Obesity 35.1% 24.1%
Disability Percentage 15.0% 9.0%

Health Statistics Comparison: Enon valley vs Santa monica

  • More residents in Enon valley report poor mental health at 17.0% compared to 13.5% in Santa monica.
  • Depression is more prevalent in Enon valley at 23.6% compared to 16.6% in Santa monica.
  • Smoking is more prevalent in Enon valley at 19.6% compared to 7.5% in Santa monica.
  • Binge drinking is more common in Enon valley at 20.0% compared to 17.2% in Santa monica.
  • Obesity rates are higher in Enon valley at 35.1% compared to 24.1% in Santa monica.
  • Disability percentages are higher in Enon valley at 15.0% compared to 9.0% in Santa monica.

Education Levels

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

Education Level Enon valley Santa monica
No Schooling 0.0% (Data is updating) 1.1% (950)
High School Diploma 21.4% (63) 6.2% (5,554)
Less than High School 8.5% (25) 7.9% (7,118)
Bachelor's Degree and Higher 14.2% (42) 55.4% (49,805)

Education Levels Comparison: Enon valley vs Santa monica

  • In Santa monica, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Enon valley.
  • A higher percentage of residents in Enon valley hold a high school diploma at 21.4% compared to 6.2% in Santa monica.
  • More residents in Enon valley have less than a high school education at 8.5% compared to 7.9% in Santa monica.
  • In Santa monica, a larger share of residents have a bachelor's degree or higher at 55.4% compared to 14.2% in Enon valley.

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.