Demographics details for Fennimore, WI vs Virginia beach, VA

Population Overview

Compare main population characteristics in Fennimore, WI vs Virginia beach, VA.

Data Fennimore Virginia beach
Population 2,749 455,618
Median Age 37.6 years 37.1 years
Median Income $65,031 $87,544
Married Families 43.0% 42.0%
Poverty Level 10% 10%
Unemployment Rate 4.5 2.8

Population Comparison: Fennimore vs Virginia beach

  • The population in Virginia beach is higher at 455,618, compared to 2,749 in Fennimore.
  • Residents in Fennimore have a higher median age of 37.6 years compared to 37.1 years in Virginia beach.
  • Virginia beach has a higher median income of $87,544, compared to $65,031 in Fennimore.
  • A higher percentage of married families is found in Fennimore at 43.0% compared to 42.0% in Virginia beach.
  • The poverty level is identical in both Fennimore and Virginia beach at 10%.
  • The unemployment rate in Fennimore is higher at 4.5%, compared to 2.8% in Virginia beach.

Demographics

Demographics Fennimore vs Virginia beach provide insight into the diversity of the communities to compare.

Demographic Fennimore Virginia beach
Black Data is updating 19
White 97 56
Asian Data is updating 7
Hispanic 2 9
Two or More Races 1 9
American Indian Data is updating Data is updating

Demographics Comparison: Fennimore vs Virginia beach

  • In Virginia beach, the percentage of Black residents is higher at 19% compared to 0% in Fennimore.
  • Fennimore has a higher percentage of White residents at 97% compared to 56% in Virginia beach.
  • In Virginia beach, the Asian population stands at 7%, greater than 0% in Fennimore.
  • Virginia beach has a higher percentage of Hispanic residents at 9%, compared to 2% in Fennimore.
  • The percentage of residents identifying as two or more races is higher in Virginia beach at 9%, compared to 1% in Fennimore.
  • The percentage of American Indian residents is the same in both Fennimore and Virginia beach at 0%.

Health Statistics

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

Health Metric Fennimore Virginia beach
Mental Health Not Good 16.4% 14.5%
Physical Health Not Good 11.3% 9.3%
Depression 24.6% 20.4%
Smoking 18.2% 13.7%
Binge Drinking 23.6% 16.8%
Obesity 35.0% 31.5%
Disability Percentage 11.0% 11.0%

Health Statistics Comparison: Fennimore vs Virginia beach

  • More residents in Fennimore report poor mental health at 16.4% compared to 14.5% in Virginia beach.
  • Depression is more prevalent in Fennimore at 24.6% compared to 20.4% in Virginia beach.
  • Smoking is more prevalent in Fennimore at 18.2% compared to 13.7% in Virginia beach.
  • Binge drinking is more common in Fennimore at 23.6% compared to 16.8% in Virginia beach.
  • Obesity rates are higher in Fennimore at 35.0% compared to 31.5% in Virginia beach.
  • Disability percentages are the same in both Fennimore and Virginia beach at 11.0%.

Education Levels

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

Education Level Fennimore Virginia beach
No Schooling 0.3% (9) 0.6% (2,931)
High School Diploma 17.0% (467) 11.8% (53,968)
Less than High School 4.3% (118) 6.0% (27,564)
Bachelor's Degree and Higher 17.0% (468) 27.6% (125,790)

Education Levels Comparison: Fennimore vs Virginia beach

  • In Virginia beach, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Fennimore.
  • A higher percentage of residents in Fennimore hold a high school diploma at 17.0% compared to 11.8% in Virginia beach.
  • The percentage of residents with less than a high school education is higher in Virginia beach at 6.0%, compared to 4.3% in Fennimore.
  • In Virginia beach, a larger share of residents have a bachelor's degree or higher at 27.6% compared to 17.0% in Fennimore.

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.