Demographics details for Pittsfield, NH vs Banning, CA

Population Overview

Compare main population characteristics in Pittsfield, NH vs Banning, CA.

Data Pittsfield Banning
Population 4,140 30,683
Median Age 42.0 years 42.8 years
Median Income $64,600 $54,083
Married Families 33.0% 35.0%
Poverty Level 8% 14%
Unemployment Rate 2.6 6.5

Population Comparison: Pittsfield vs Banning

  • The population in Banning is higher at 30,683, compared to 4,140 in Pittsfield.
  • The median age in Banning is higher at 42.8 years, compared to 42.0 years in Pittsfield.
  • Pittsfield has a higher median income of $64,600 compared to $54,083 in Banning.
  • In Banning, the percentage of married families is higher at 35.0%, compared to 33.0% in Pittsfield.
  • The poverty level is higher in Banning at 14%, compared to 8% in Pittsfield.
  • Banning has a higher unemployment rate at 6.5% compared to 2.6% in Pittsfield.

Demographics

Demographics Pittsfield vs Banning provide insight into the diversity of the communities to compare.

Demographic Pittsfield Banning
Black Data is updating 7
White 100 21
Asian Data is updating 5
Hispanic Data is updating 48
Two or More Races Data is updating 17
American Indian Data is updating 2

Demographics Comparison: Pittsfield vs Banning

  • In Banning, the percentage of Black residents is higher at 7% compared to 0% in Pittsfield.
  • Pittsfield has a higher percentage of White residents at 100% compared to 21% in Banning.
  • In Banning, the Asian population stands at 5%, greater than 0% in Pittsfield.
  • Banning has a higher percentage of Hispanic residents at 48%, compared to 0% in Pittsfield.
  • The percentage of residents identifying as two or more races is higher in Banning at 17%, compared to 0% in Pittsfield.
  • In Banning, the percentage of American Indian residents is higher at 2%, compared to 0% in Pittsfield.

Health Statistics

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

Health Metric Pittsfield Banning
Mental Health Not Good Data is updating% 18.1%
Physical Health Not Good Data is updating% 13.9%
Depression Data is updating% 18.5%
Smoking Data is updating% 17.2%
Binge Drinking Data is updating% 15.2%
Obesity Data is updating% 39.1%
Disability Percentage Data is updating% 20.0%

Health Statistics Comparison: Pittsfield vs Banning

  • In Banning, a higher percentage report poor mental health at 18.1% compared to 0.0% in Pittsfield.
  • Higher depression rates are seen in Banning at 18.5% versus 0.0% in Pittsfield.
  • Banning has a higher smoking rate at 17.2% compared to 0.0% in Pittsfield.
  • More residents engage in binge drinking in Banning at 15.2% compared to 0.0% in Pittsfield.
  • Banning has higher obesity rates at 39.1% compared to 0.0% in Pittsfield.
  • There is a higher percentage of disabled individuals in Banning at 20.0% compared to 0.0% in Pittsfield.

Education Levels

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

Education Level Pittsfield Banning
No Schooling 0.0% (Data is updating) 2.4% (749)
High School Diploma 0.0% (Data is updating) 18.4% (5,655)
Less than High School 0.0% (Data is updating) 21.9% (6,720)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.4% (3,495)

Education Levels Comparison: Pittsfield vs Banning

  • In Banning, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Pittsfield.
  • In Banning, the rate of residents with high school diplomas is higher at 18.4% compared to 0.0% in Pittsfield.
  • The percentage of residents with less than a high school education is higher in Banning at 21.9%, compared to 0.0% in Pittsfield.
  • In Banning, a larger share of residents have a bachelor's degree or higher at 11.4% compared to 0.0% in Pittsfield.

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.