Demographics details for Berkeley, CA vs Pleasant prairie, WI

Population Overview

Compare main population characteristics in Berkeley, CA vs Pleasant prairie, WI.

Data Berkeley Pleasant prairie
Population 118,950 21,840
Median Age 32.5 years 43.1 years
Median Income $104,716 $99,635
Married Families 31.0% 45.0%
Poverty Level 14% 4%
Unemployment Rate 4.5 3.1

Population Comparison: Berkeley vs Pleasant prairie

  • In Berkeley, the population is higher at 118,950, compared to 21,840 in Pleasant prairie.
  • The median age in Pleasant prairie is higher at 43.1 years, compared to 32.5 years in Berkeley.
  • Berkeley has a higher median income of $104,716 compared to $99,635 in Pleasant prairie.
  • In Pleasant prairie, the percentage of married families is higher at 45.0%, compared to 31.0% in Berkeley.
  • Berkeley has a higher poverty level at 14% compared to 4% in Pleasant prairie.
  • The unemployment rate in Berkeley is higher at 4.5%, compared to 3.1% in Pleasant prairie.

Demographics

Demographics Berkeley vs Pleasant prairie provide insight into the diversity of the communities to compare.

Demographic Berkeley Pleasant prairie
Black 8 2
White 48 80
Asian 21 2
Hispanic 12 9
Two or More Races 10 7
American Indian 1 Data is updating

Demographics Comparison: Berkeley vs Pleasant prairie

  • A higher percentage of Black residents are in Berkeley at 8% compared to 2% in Pleasant prairie.
  • The percentage of White residents is higher in Pleasant prairie at 80% compared to 48% in Berkeley.
  • The Asian population is larger in Berkeley at 21% compared to 2% in Pleasant prairie.
  • The Hispanic community is larger in Berkeley at 12% compared to 9% in Pleasant prairie.
  • More residents identify as two or more races in Berkeley at 10% compared to 7% in Pleasant prairie.
  • A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Pleasant prairie.

Health Statistics

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

Health Metric Berkeley Pleasant prairie
Mental Health Not Good 15.0% 13.9%
Physical Health Not Good 8.6% 9.0%
Depression 18.8% 22.8%
Smoking 9.0% 13.4%
Binge Drinking 16.1% 24.6%
Obesity 26.8% 34.6%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Berkeley vs Pleasant prairie

  • More residents in Berkeley report poor mental health at 15.0% compared to 13.9% in Pleasant prairie.
  • Higher depression rates are seen in Pleasant prairie at 22.8% versus 18.8% in Berkeley.
  • Pleasant prairie has a higher smoking rate at 13.4% compared to 9.0% in Berkeley.
  • More residents engage in binge drinking in Pleasant prairie at 24.6% compared to 16.1% in Berkeley.
  • Pleasant prairie has higher obesity rates at 34.6% compared to 26.8% in Berkeley.
  • There is a higher percentage of disabled individuals in Pleasant prairie at 11.0% compared to 10.0% in Berkeley.

Education Levels

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

Education Level Berkeley Pleasant prairie
No Schooling 0.7% (780) 0.6% (127)
High School Diploma 3.9% (4,580) 14.5% (3,170)
Less than High School 4.0% (4,800) 7.7% (1,688)
Bachelor's Degree and Higher 47.8% (56,907) 27.8% (6,082)

Education Levels Comparison: Berkeley vs Pleasant prairie

  • A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.6% in Pleasant prairie.
  • In Pleasant prairie, the rate of residents with high school diplomas is higher at 14.5% compared to 3.9% in Berkeley.
  • The percentage of residents with less than a high school education is higher in Pleasant prairie at 7.7%, compared to 4.0% in Berkeley.
  • A higher percentage of residents in Berkeley hold a bachelor's degree or higher at 47.8% compared to 27.8% in Pleasant prairie.

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.