Demographics details for Southfield, MI vs Penn valley, CA

Population Overview

Compare main population characteristics in Southfield, MI vs Penn valley, CA.

Data Southfield Penn valley
Population 75,431 1,188
Median Age 42.1 years 55.7 years
Median Income $63,980 $65,882
Married Families 31.0% 60.0%
Poverty Level 13% 8%
Unemployment Rate 6.2 5.1

Population Comparison: Southfield vs Penn valley

  • In Southfield, the population is higher at 75,431, compared to 1,188 in Penn valley.
  • The median age in Penn valley is higher at 55.7 years, compared to 42.1 years in Southfield.
  • Penn valley has a higher median income of $65,882, compared to $63,980 in Southfield.
  • In Penn valley, the percentage of married families is higher at 60.0%, compared to 31.0% in Southfield.
  • Southfield has a higher poverty level at 13% compared to 8% in Penn valley.
  • The unemployment rate in Southfield is higher at 6.2%, compared to 5.1% in Penn valley.

Demographics

Demographics Southfield vs Penn valley provide insight into the diversity of the communities to compare.

Demographic Southfield Penn valley
Black 66 Data is updating
White 23 86
Asian 2 Data is updating
Hispanic 2 7
Two or More Races 7 7
American Indian Data is updating Data is updating

Demographics Comparison: Southfield vs Penn valley

  • A higher percentage of Black residents are in Southfield at 66% compared to 0% in Penn valley.
  • The percentage of White residents is higher in Penn valley at 86% compared to 23% in Southfield.
  • The Asian population is larger in Southfield at 2% compared to 0% in Penn valley.
  • Penn valley has a higher percentage of Hispanic residents at 7%, compared to 2% in Southfield.
  • Both Southfield and Penn valley have the same percentage of residents identifying as two or more races at 7%.
  • The percentage of American Indian residents is the same in both Southfield and Penn valley at 0%.

Health Statistics

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

Health Metric Southfield Penn valley
Mental Health Not Good 15.4% 18.4%
Physical Health Not Good 9.9% 11.8%
Depression 17.6% 22.9%
Smoking 14.8% 14.8%
Binge Drinking 14.9% 17.9%
Obesity 38.1% 29.5%
Disability Percentage 17.0% 30.0%

Health Statistics Comparison: Southfield vs Penn valley

  • In Penn valley, a higher percentage report poor mental health at 18.4% compared to 15.4% in Southfield.
  • Higher depression rates are seen in Penn valley at 22.9% versus 17.6% in Southfield.
  • Smoking rates are the same in both Southfield and Penn valley at 14.8%.
  • More residents engage in binge drinking in Penn valley at 17.9% compared to 14.9% in Southfield.
  • Obesity rates are higher in Southfield at 38.1% compared to 29.5% in Penn valley.
  • There is a higher percentage of disabled individuals in Penn valley at 30.0% compared to 17.0% in Southfield.

Education Levels

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

Education Level Southfield Penn valley
No Schooling 1.2% (870) 4.9% (58)
High School Diploma 12.0% (9,038) 21.6% (257)
Less than High School 6.1% (4,623) 8.2% (98)
Bachelor's Degree and Higher 27.5% (20,760) 12.3% (146)

Education Levels Comparison: Southfield vs Penn valley

  • In Penn valley, a larger percentage of residents lack formal schooling at 4.9% compared to 1.2% in Southfield.
  • In Penn valley, the rate of residents with high school diplomas is higher at 21.6% compared to 12.0% in Southfield.
  • The percentage of residents with less than a high school education is higher in Penn valley at 8.2%, compared to 6.1% in Southfield.
  • A higher percentage of residents in Southfield hold a bachelor's degree or higher at 27.5% compared to 12.3% in Penn 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.