Demographics details for Mountain view, CA vs Beaver dam, WI

Population Overview

Compare main population characteristics in Mountain view, CA vs Beaver dam, WI.

Data Mountain view Beaver dam
Population 81,059 16,582
Median Age 35.5 years 40.4 years
Median Income $174,156 $65,802
Married Families 43.0% 35.0%
Poverty Level 6% Data is updating
Unemployment Rate 3.2 3.1

Population Comparison: Mountain view vs Beaver dam

  • In Mountain view, the population is higher at 81,059, compared to 16,582 in Beaver dam.
  • The median age in Beaver dam is higher at 40.4 years, compared to 35.5 years in Mountain view.
  • Mountain view has a higher median income of $174,156 compared to $65,802 in Beaver dam.
  • A higher percentage of married families is found in Mountain view at 43.0% compared to 35.0% in Beaver dam.
  • Mountain view has a higher poverty level at 6% compared to 0% in Beaver dam.
  • The unemployment rate in Mountain view is higher at 3.2%, compared to 3.1% in Beaver dam.

Demographics

Demographics Mountain view vs Beaver dam provide insight into the diversity of the communities to compare.

Demographic Mountain view Beaver dam
Black 2 3
White 32 81
Asian 34 2
Hispanic 19 8
Two or More Races 12 6
American Indian 1 Data is updating

Demographics Comparison: Mountain view vs Beaver dam

  • In Beaver dam, the percentage of Black residents is higher at 3% compared to 2% in Mountain view.
  • The percentage of White residents is higher in Beaver dam at 81% compared to 32% in Mountain view.
  • The Asian population is larger in Mountain view at 34% compared to 2% in Beaver dam.
  • The Hispanic community is larger in Mountain view at 19% compared to 8% in Beaver dam.
  • More residents identify as two or more races in Mountain view at 12% compared to 6% in Beaver dam.
  • A greater percentage of American Indian residents live in Mountain view at 1% compared to 0% in Beaver dam.

Health Statistics

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

Health Metric Mountain view Beaver dam
Mental Health Not Good 11.7% 15.7%
Physical Health Not Good 7.1% 10.6%
Depression 14.7% 23.6%
Smoking 6.5% 17.6%
Binge Drinking 14.9% 23.5%
Obesity 19.1% 36.6%
Disability Percentage 6.0% 11.0%

Health Statistics Comparison: Mountain view vs Beaver dam

  • In Beaver dam, a higher percentage report poor mental health at 15.7% compared to 11.7% in Mountain view.
  • Higher depression rates are seen in Beaver dam at 23.6% versus 14.7% in Mountain view.
  • Beaver dam has a higher smoking rate at 17.6% compared to 6.5% in Mountain view.
  • More residents engage in binge drinking in Beaver dam at 23.5% compared to 14.9% in Mountain view.
  • Beaver dam has higher obesity rates at 36.6% compared to 19.1% in Mountain view.
  • There is a higher percentage of disabled individuals in Beaver dam at 11.0% compared to 6.0% in Mountain view.

Education Levels

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

Education Level Mountain view Beaver dam
No Schooling 1.0% (826) 0.3% (47)
High School Diploma 4.9% (3,963) 23.8% (3,947)
Less than High School 7.1% (5,739) 10.3% (1,706)
Bachelor's Degree and Higher 54.5% (44,174) 18.2% (3,023)

Education Levels Comparison: Mountain view vs Beaver dam

  • A higher percentage of residents in Mountain view have no formal schooling at 1.0% compared to 0.3% in Beaver dam.
  • In Beaver dam, the rate of residents with high school diplomas is higher at 23.8% compared to 4.9% in Mountain view.
  • The percentage of residents with less than a high school education is higher in Beaver dam at 10.3%, compared to 7.1% in Mountain view.
  • A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 54.5% compared to 18.2% in Beaver dam.

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.