Demographics details for Lumber bridge, NC vs Hilmar, CA

Population Overview

Compare main population characteristics in Lumber bridge, NC vs Hilmar, CA.

Data Lumber bridge Hilmar
Population 82 11,136
Median Age 43.8 years 36.4 years
Median Income $61,250 $71,753
Married Families 38.0% 42.0%
Poverty Level 12% 15%
Unemployment Rate 4.6 4.5

Population Comparison: Lumber bridge vs Hilmar

  • The population in Hilmar is higher at 11,136, compared to 82 in Lumber bridge.
  • Residents in Lumber bridge have a higher median age of 43.8 years compared to 36.4 years in Hilmar.
  • Hilmar has a higher median income of $71,753, compared to $61,250 in Lumber bridge.
  • In Hilmar, the percentage of married families is higher at 42.0%, compared to 38.0% in Lumber bridge.
  • The poverty level is higher in Hilmar at 15%, compared to 12% in Lumber bridge.
  • The unemployment rate in Lumber bridge is higher at 4.6%, compared to 4.5% in Hilmar.

Demographics

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

Demographic Lumber bridge Hilmar
Black 7 1
White 88 52
Asian Data is updating 2
Hispanic Data is updating 42
Two or More Races Data is updating 3
American Indian 5 Data is updating

Demographics Comparison: Lumber bridge vs Hilmar

  • A higher percentage of Black residents are in Lumber bridge at 7% compared to 1% in Hilmar.
  • Lumber bridge has a higher percentage of White residents at 88% compared to 52% in Hilmar.
  • In Hilmar, the Asian population stands at 2%, greater than 0% in Lumber bridge.
  • Hilmar has a higher percentage of Hispanic residents at 42%, compared to 0% in Lumber bridge.
  • The percentage of residents identifying as two or more races is higher in Hilmar 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 Hilmar.

Health Statistics

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

Health Metric Lumber bridge Hilmar
Mental Health Not Good 17.8% Data is updating%
Physical Health Not Good 14.2% Data is updating%
Depression 23.8% Data is updating%
Smoking 23.0% Data is updating%
Binge Drinking 16.2% Data is updating%
Obesity 40.5% Data is updating%
Disability Percentage 9.0% 14.0%

Health Statistics Comparison: Lumber bridge vs Hilmar

  • More residents in Lumber bridge report poor mental health at 17.8% compared to 0.0% in Hilmar.
  • Depression is more prevalent in Lumber bridge at 23.8% compared to 0.0% in Hilmar.
  • Smoking is more prevalent in Lumber bridge at 23.0% compared to 0.0% in Hilmar.
  • Binge drinking is more common in Lumber bridge at 16.2% compared to 0.0% in Hilmar.
  • Obesity rates are higher in Lumber bridge at 40.5% compared to 0.0% in Hilmar.
  • There is a higher percentage of disabled individuals in Hilmar 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 Hilmar
No Schooling 0.0% (Data is updating) 2.6% (294)
High School Diploma 32.9% (27) 16.8% (1,868)
Less than High School 9.8% (8) 35.7% (3,978)
Bachelor's Degree and Higher 7.3% (6) 6.9% (769)

Education Levels Comparison: Lumber bridge vs Hilmar

  • In Hilmar, a larger percentage of residents lack formal schooling at 2.6% 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 16.8% in Hilmar.
  • The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, compared to 9.8% in Lumber bridge.
  • A higher percentage of residents in Lumber bridge hold a bachelor's degree or higher at 7.3% compared to 6.9% in Hilmar.

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.