Demographics details for Petaluma, CA vs Wappingers falls, NY

Population Overview

Compare main population characteristics in Petaluma, CA vs Wappingers falls, NY.

Data Petaluma Wappingers falls
Population 58,652 6,064
Median Age 43.5 years 47.9 years
Median Income $108,527 $61,554
Married Families 44.0% 32.0%
Poverty Level 7% 5%
Unemployment Rate 3.6 3.5

Population Comparison: Petaluma vs Wappingers falls

  • In Petaluma, the population is higher at 58,652, compared to 6,064 in Wappingers falls.
  • The median age in Wappingers falls is higher at 47.9 years, compared to 43.5 years in Petaluma.
  • Petaluma has a higher median income of $108,527 compared to $61,554 in Wappingers falls.
  • A higher percentage of married families is found in Petaluma at 44.0% compared to 32.0% in Wappingers falls.
  • Petaluma has a higher poverty level at 7% compared to 5% in Wappingers falls.
  • The unemployment rate in Petaluma is higher at 3.6%, compared to 3.5% in Wappingers falls.

Demographics

Demographics Petaluma vs Wappingers falls provide insight into the diversity of the communities to compare.

Demographic Petaluma Wappingers falls
Black 1 13
White 62 61
Asian 5 3
Hispanic 20 20
Two or More Races 11 3
American Indian 1 Data is updating

Demographics Comparison: Petaluma vs Wappingers falls

  • In Wappingers falls, the percentage of Black residents is higher at 13% compared to 1% in Petaluma.
  • Petaluma has a higher percentage of White residents at 62% compared to 61% in Wappingers falls.
  • The Asian population is larger in Petaluma at 5% compared to 3% in Wappingers falls.
  • The percentage of Hispanic residents is the same in both Petaluma and Wappingers falls at 20%.
  • More residents identify as two or more races in Petaluma at 11% compared to 3% in Wappingers falls.
  • A greater percentage of American Indian residents live in Petaluma at 1% compared to 0% in Wappingers falls.

Health Statistics

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

Health Metric Petaluma Wappingers falls
Mental Health Not Good 15.1% 16.5%
Physical Health Not Good 9.5% 11.9%
Depression 20.1% 22.8%
Smoking 10.5% 20.1%
Binge Drinking 20.4% 16.4%
Obesity 27.5% 34.7%
Disability Percentage 10.0% 16.0%

Health Statistics Comparison: Petaluma vs Wappingers falls

  • In Wappingers falls, a higher percentage report poor mental health at 16.5% compared to 15.1% in Petaluma.
  • Higher depression rates are seen in Wappingers falls at 22.8% versus 20.1% in Petaluma.
  • Wappingers falls has a higher smoking rate at 20.1% compared to 10.5% in Petaluma.
  • Binge drinking is more common in Petaluma at 20.4% compared to 16.4% in Wappingers falls.
  • Wappingers falls has higher obesity rates at 34.7% compared to 27.5% in Petaluma.
  • There is a higher percentage of disabled individuals in Wappingers falls at 16.0% compared to 10.0% in Petaluma.

Education Levels

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

Education Level Petaluma Wappingers falls
No Schooling 1.0% (558) 0.9% (57)
High School Diploma 11.0% (6,434) 18.1% (1,099)
Less than High School 11.1% (6,496) 24.9% (1,511)
Bachelor's Degree and Higher 32.4% (18,996) 14.2% (861)

Education Levels Comparison: Petaluma vs Wappingers falls

  • A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.9% in Wappingers falls.
  • In Wappingers falls, the rate of residents with high school diplomas is higher at 18.1% compared to 11.0% in Petaluma.
  • The percentage of residents with less than a high school education is higher in Wappingers falls at 24.9%, compared to 11.1% in Petaluma.
  • A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% compared to 14.2% in Wappingers falls.

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.