Demographics details for Lumber bridge, NC vs Hoover, AL

Population Overview

Compare main population characteristics in Lumber bridge, NC vs Hoover, AL.

Data Lumber bridge Hoover
Population 82 92,435
Median Age 43.8 years 38.3 years
Median Income $61,250 $101,765
Married Families 38.0% 46.0%
Poverty Level 12% 7%
Unemployment Rate 4.6 2.2

Population Comparison: Lumber bridge vs Hoover

  • The population in Hoover is higher at 92,435, compared to 82 in Lumber bridge.
  • Residents in Lumber bridge have a higher median age of 43.8 years compared to 38.3 years in Hoover.
  • Hoover has a higher median income of $101,765, compared to $61,250 in Lumber bridge.
  • In Hoover, the percentage of married families is higher at 46.0%, compared to 38.0% in Lumber bridge.
  • Lumber bridge has a higher poverty level at 12% compared to 7% in Hoover.
  • The unemployment rate in Lumber bridge is higher at 4.6%, compared to 2.2% in Hoover.

Demographics

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

Demographic Lumber bridge Hoover
Black 7 20
White 88 67
Asian Data is updating 5
Hispanic Data is updating 5
Two or More Races Data is updating 3
American Indian 5 Data is updating

Demographics Comparison: Lumber bridge vs Hoover

  • In Hoover, the percentage of Black residents is higher at 20% compared to 7% in Lumber bridge.
  • Lumber bridge has a higher percentage of White residents at 88% compared to 67% in Hoover.
  • In Hoover, the Asian population stands at 5%, greater than 0% in Lumber bridge.
  • Hoover has a higher percentage of Hispanic residents at 5%, compared to 0% in Lumber bridge.
  • The percentage of residents identifying as two or more races is higher in Hoover at 3%, compared to 0% in Lumber bridge.
  • A greater percentage of American Indian residents live in Lumber bridge at 5% compared to 0% in Hoover.

Health Statistics

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

Health Metric Lumber bridge Hoover
Mental Health Not Good 17.8% 14.9%
Physical Health Not Good 14.2% 8.6%
Depression 23.8% 21.3%
Smoking 23.0% 11.0%
Binge Drinking 16.2% 16.7%
Obesity 40.5% 32.1%
Disability Percentage 9.0% 9.0%

Health Statistics Comparison: Lumber bridge vs Hoover

  • More residents in Lumber bridge report poor mental health at 17.8% compared to 14.9% in Hoover.
  • Depression is more prevalent in Lumber bridge at 23.8% compared to 21.3% in Hoover.
  • Smoking is more prevalent in Lumber bridge at 23.0% compared to 11.0% in Hoover.
  • More residents engage in binge drinking in Hoover at 16.7% compared to 16.2% in Lumber bridge.
  • Obesity rates are higher in Lumber bridge at 40.5% compared to 32.1% in Hoover.
  • Disability percentages are the same in both Lumber bridge and Hoover at 9.0%.

Education Levels

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

Education Level Lumber bridge Hoover
No Schooling 0.0% (Data is updating) 0.6% (583)
High School Diploma 32.9% (27) 7.3% (6,787)
Less than High School 9.8% (8) 3.8% (3,478)
Bachelor's Degree and Higher 7.3% (6) 41.1% (38,000)

Education Levels Comparison: Lumber bridge vs Hoover

  • In Hoover, a larger percentage of residents lack formal schooling at 0.6% 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 7.3% in Hoover.
  • More residents in Lumber bridge have less than a high school education at 9.8% compared to 3.8% in Hoover.
  • In Hoover, a larger share of residents have a bachelor's degree or higher at 41.1% 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.