Demographics details for Penngrove, CA vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Penngrove, CA vs Deerfield beach, FL.

Data Penngrove Deerfield beach
Population 2,184 86,772
Median Age 59.0 years 43.5 years
Median Income $97,237 $53,741
Married Families 47.0% 35.0%
Poverty Level 6% 12%
Unemployment Rate 4.2 3.2

Population Comparison: Penngrove vs Deerfield beach

  • The population in Deerfield beach is higher at 86,772, compared to 2,184 in Penngrove.
  • Residents in Penngrove have a higher median age of 59.0 years compared to 43.5 years in Deerfield beach.
  • Penngrove has a higher median income of $97,237 compared to $53,741 in Deerfield beach.
  • A higher percentage of married families is found in Penngrove at 47.0% compared to 35.0% in Deerfield beach.
  • The poverty level is higher in Deerfield beach at 12%, compared to 6% in Penngrove.
  • The unemployment rate in Penngrove is higher at 4.2%, compared to 3.2% in Deerfield beach.

Demographics

Demographics Penngrove vs Deerfield beach provide insight into the diversity of the communities to compare.

Demographic Penngrove Deerfield beach
Black Data is updating 24
White 60 33
Asian 4 2
Hispanic 27 24
Two or More Races 9 17
American Indian Data is updating Data is updating

Demographics Comparison: Penngrove vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 0% in Penngrove.
  • Penngrove has a higher percentage of White residents at 60% compared to 33% in Deerfield beach.
  • The Asian population is larger in Penngrove at 4% compared to 2% in Deerfield beach.
  • The Hispanic community is larger in Penngrove at 27% compared to 24% in Deerfield beach.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 9% in Penngrove.
  • The percentage of American Indian residents is the same in both Penngrove and Deerfield beach at 0%.

Health Statistics

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

Health Metric Penngrove Deerfield beach
Mental Health Not Good 16.6% 16.6%
Physical Health Not Good 10.5% 11.6%
Depression 21.9% 18.5%
Smoking 12.5% 19.8%
Binge Drinking 20.4% 15.1%
Obesity 28.8% 30.3%
Disability Percentage 18.0% 14.0%

Health Statistics Comparison: Penngrove vs Deerfield beach

  • Poor mental health levels are equal in both Penngrove and Deerfield beach at 16.6%.
  • Depression is more prevalent in Penngrove at 21.9% compared to 18.5% in Deerfield beach.
  • Deerfield beach has a higher smoking rate at 19.8% compared to 12.5% in Penngrove.
  • Binge drinking is more common in Penngrove at 20.4% compared to 15.1% in Deerfield beach.
  • Deerfield beach has higher obesity rates at 30.3% compared to 28.8% in Penngrove.
  • Disability percentages are higher in Penngrove at 18.0% compared to 14.0% in Deerfield beach.

Education Levels

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

Education Level Penngrove Deerfield beach
No Schooling 1.0% (21) 1.8% (1,563)
High School Diploma 7.3% (160) 18.7% (16,205)
Less than High School 7.4% (162) 18.3% (15,908)
Bachelor's Degree and Higher 35.2% (769) 20.3% (17,606)

Education Levels Comparison: Penngrove vs Deerfield beach

  • In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 1.0% in Penngrove.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 7.3% in Penngrove.
  • The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 7.4% in Penngrove.
  • A higher percentage of residents in Penngrove hold a bachelor's degree or higher at 35.2% compared to 20.3% in Deerfield 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.