Demographics details for Lumber bridge, NC vs Green bay, WI

Population Overview

Compare main population characteristics in Lumber bridge, NC vs Green bay, WI.

Data Lumber bridge Green bay
Population 82 106,095
Median Age 43.8 years 35.6 years
Median Income $61,250 $59,174
Married Families 38.0% 34.0%
Poverty Level 12% 10%
Unemployment Rate 4.6 3.2

Population Comparison: Lumber bridge vs Green bay

  • The population in Green bay is higher at 106,095, compared to 82 in Lumber bridge.
  • Residents in Lumber bridge have a higher median age of 43.8 years compared to 35.6 years in Green bay.
  • Lumber bridge has a higher median income of $61,250 compared to $59,174 in Green bay.
  • A higher percentage of married families is found in Lumber bridge at 38.0% compared to 34.0% in Green bay.
  • Lumber bridge has a higher poverty level at 12% compared to 10% in Green bay.
  • The unemployment rate in Lumber bridge is higher at 4.6%, compared to 3.2% in Green bay.

Demographics

Demographics Lumber bridge vs Green bay provide insight into the diversity of the communities to compare.

Demographic Lumber bridge Green bay
Black 7 4
White 88 61
Asian Data is updating 4
Hispanic Data is updating 17
Two or More Races Data is updating 11
American Indian 5 3

Demographics Comparison: Lumber bridge vs Green bay

  • A higher percentage of Black residents are in Lumber bridge at 7% compared to 4% in Green bay.
  • Lumber bridge has a higher percentage of White residents at 88% compared to 61% in Green bay.
  • In Green bay, the Asian population stands at 4%, greater than 0% in Lumber bridge.
  • Green bay has a higher percentage of Hispanic residents at 17%, compared to 0% in Lumber bridge.
  • The percentage of residents identifying as two or more races is higher in Green bay at 11%, compared to 0% in Lumber bridge.
  • A greater percentage of American Indian residents live in Lumber bridge at 5% compared to 3% in Green bay.

Health Statistics

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

Health Metric Lumber bridge Green bay
Mental Health Not Good 17.8% 15.3%
Physical Health Not Good 14.2% 11.0%
Depression 23.8% 22.1%
Smoking 23.0% 16.8%
Binge Drinking 16.2% 22.8%
Obesity 40.5% 38.0%
Disability Percentage 9.0% 14.0%

Health Statistics Comparison: Lumber bridge vs Green bay

  • More residents in Lumber bridge report poor mental health at 17.8% compared to 15.3% in Green bay.
  • Depression is more prevalent in Lumber bridge at 23.8% compared to 22.1% in Green bay.
  • Smoking is more prevalent in Lumber bridge at 23.0% compared to 16.8% in Green bay.
  • More residents engage in binge drinking in Green bay at 22.8% compared to 16.2% in Lumber bridge.
  • Obesity rates are higher in Lumber bridge at 40.5% compared to 38.0% in Green bay.
  • There is a higher percentage of disabled individuals in Green bay at 14.0% compared to 9.0% in Lumber bridge.

Education Levels

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

Education Level Lumber bridge Green bay
No Schooling 0.0% (Data is updating) 1.7% (1,796)
High School Diploma 32.9% (27) 18.1% (19,183)
Less than High School 9.8% (8) 14.0% (14,805)
Bachelor's Degree and Higher 7.3% (6) 16.6% (17,606)

Education Levels Comparison: Lumber bridge vs Green bay

  • In Green bay, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Lumber bridge.
  • A higher percentage of residents in Lumber bridge hold a high school diploma at 32.9% compared to 18.1% in Green bay.
  • The percentage of residents with less than a high school education is higher in Green bay at 14.0%, compared to 9.8% in Lumber bridge.
  • In Green bay, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 7.3% in Lumber bridge.

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.