Demographics details for Petaluma, CA vs Jefferson city, MO

Population Overview

Compare main population characteristics in Petaluma, CA vs Jefferson city, MO.

Data Petaluma Jefferson city
Population 58,652 42,528
Median Age 43.5 years 38.5 years
Median Income $108,527 $63,649
Married Families 44.0% 37.0%
Poverty Level 7% 11%
Unemployment Rate 3.6 3.9

Population Comparison: Petaluma vs Jefferson city

  • In Petaluma, the population is higher at 58,652, compared to 42,528 in Jefferson city.
  • Residents in Petaluma have a higher median age of 43.5 years compared to 38.5 years in Jefferson city.
  • Petaluma has a higher median income of $108,527 compared to $63,649 in Jefferson city.
  • A higher percentage of married families is found in Petaluma at 44.0% compared to 37.0% in Jefferson city.
  • The poverty level is higher in Jefferson city at 11%, compared to 7% in Petaluma.
  • Jefferson city has a higher unemployment rate at 3.9% compared to 3.6% in Petaluma.

Demographics

Demographics Petaluma vs Jefferson city provide insight into the diversity of the communities to compare.

Demographic Petaluma Jefferson city
Black 1 18
White 62 72
Asian 5 3
Hispanic 20 3
Two or More Races 11 4
American Indian 1 Data is updating

Demographics Comparison: Petaluma vs Jefferson city

  • In Jefferson city, the percentage of Black residents is higher at 18% compared to 1% in Petaluma.
  • The percentage of White residents is higher in Jefferson city at 72% compared to 62% in Petaluma.
  • The Asian population is larger in Petaluma at 5% compared to 3% in Jefferson city.
  • The Hispanic community is larger in Petaluma at 20% compared to 3% in Jefferson city.
  • More residents identify as two or more races in Petaluma at 11% compared to 4% in Jefferson city.
  • A greater percentage of American Indian residents live in Petaluma at 1% compared to 0% in Jefferson city.

Health Statistics

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

Health Metric Petaluma Jefferson city
Mental Health Not Good 15.1% 17.1%
Physical Health Not Good 9.5% 11.6%
Depression 20.1% 22.6%
Smoking 10.5% 18.6%
Binge Drinking 20.4% 16.9%
Obesity 27.5% 37.4%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Petaluma vs Jefferson city

  • In Jefferson city, a higher percentage report poor mental health at 17.1% compared to 15.1% in Petaluma.
  • Higher depression rates are seen in Jefferson city at 22.6% versus 20.1% in Petaluma.
  • Jefferson city has a higher smoking rate at 18.6% compared to 10.5% in Petaluma.
  • Binge drinking is more common in Petaluma at 20.4% compared to 16.9% in Jefferson city.
  • Jefferson city has higher obesity rates at 37.4% compared to 27.5% in Petaluma.
  • There is a higher percentage of disabled individuals in Jefferson city at 11.0% 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 Jefferson city
No Schooling 1.0% (558) 0.5% (233)
High School Diploma 11.0% (6,434) 15.9% (6,767)
Less than High School 11.1% (6,496) 11.0% (4,659)
Bachelor's Degree and Higher 32.4% (18,996) 24.8% (10,543)

Education Levels Comparison: Petaluma vs Jefferson city

  • A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.5% in Jefferson city.
  • In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 11.0% in Petaluma.
  • More residents in Petaluma have less than a high school education at 11.1% compared to 11.0% in Jefferson city.
  • A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% compared to 24.8% in Jefferson city.

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.