Demographics details for Penn valley, CA vs Prairie village, KS

Population Overview

Compare main population characteristics in Penn valley, CA vs Prairie village, KS.

Data Penn valley Prairie village
Population 1,188 22,947
Median Age 55.7 years 40.0 years
Median Income $65,882 $99,691
Married Families 60.0% 46.0%
Poverty Level 8% 5%
Unemployment Rate 5.1 2.5

Population Comparison: Penn valley vs Prairie village

  • The population in Prairie village is higher at 22,947, compared to 1,188 in Penn valley.
  • Residents in Penn valley have a higher median age of 55.7 years compared to 40.0 years in Prairie village.
  • Prairie village has a higher median income of $99,691, compared to $65,882 in Penn valley.
  • A higher percentage of married families is found in Penn valley at 60.0% compared to 46.0% in Prairie village.
  • Penn valley has a higher poverty level at 8% compared to 5% in Prairie village.
  • The unemployment rate in Penn valley is higher at 5.1%, compared to 2.5% in Prairie village.

Demographics

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

Demographic Penn valley Prairie village
Black Data is updating 1
White 86 88
Asian Data is updating 1
Hispanic 7 5
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: Penn valley vs Prairie village

  • In Prairie village, the percentage of Black residents is higher at 1% compared to 0% in Penn valley.
  • The percentage of White residents is higher in Prairie village at 88% compared to 86% in Penn valley.
  • In Prairie village, the Asian population stands at 1%, greater than 0% in Penn valley.
  • The Hispanic community is larger in Penn valley at 7% compared to 5% in Prairie village.
  • More residents identify as two or more races in Penn valley at 7% compared to 5% in Prairie village.
  • The percentage of American Indian residents is the same in both Penn valley and Prairie village at 0%.

Health Statistics

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

Health Metric Penn valley Prairie village
Mental Health Not Good 18.4% 11.5%
Physical Health Not Good 11.8% 6.0%
Depression 22.9% 18.6%
Smoking 14.8% 7.8%
Binge Drinking 17.9% 20.8%
Obesity 29.5% 27.3%
Disability Percentage 30.0% 8.0%

Health Statistics Comparison: Penn valley vs Prairie village

  • More residents in Penn valley report poor mental health at 18.4% compared to 11.5% in Prairie village.
  • Depression is more prevalent in Penn valley at 22.9% compared to 18.6% in Prairie village.
  • Smoking is more prevalent in Penn valley at 14.8% compared to 7.8% in Prairie village.
  • More residents engage in binge drinking in Prairie village at 20.8% compared to 17.9% in Penn valley.
  • Obesity rates are higher in Penn valley at 29.5% compared to 27.3% in Prairie village.
  • Disability percentages are higher in Penn valley at 30.0% compared to 8.0% in Prairie village.

Education Levels

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

Education Level Penn valley Prairie village
No Schooling 4.9% (58) 0.2% (47)
High School Diploma 21.6% (257) 5.0% (1,136)
Less than High School 8.2% (98) 2.2% (515)
Bachelor's Degree and Higher 12.3% (146) 51.7% (11,869)

Education Levels Comparison: Penn valley vs Prairie village

  • A higher percentage of residents in Penn valley have no formal schooling at 4.9% compared to 0.2% in Prairie village.
  • A higher percentage of residents in Penn valley hold a high school diploma at 21.6% compared to 5.0% in Prairie village.
  • More residents in Penn valley have less than a high school education at 8.2% compared to 2.2% in Prairie village.
  • In Prairie village, a larger share of residents have a bachelor's degree or higher at 51.7% 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.