Demographics details for Gainesville, GA vs Linden, PA

Population Overview

Compare main population characteristics in Gainesville, GA vs Linden, PA.

Data Gainesville Linden
Population 45,282 700
Median Age 32.1 years 36.0 years
Median Income $64,163 $50,000
Married Families 31.0% 150.0%
Poverty Level 13% 10%
Unemployment Rate 3.5 5.0

Population Comparison: Gainesville vs Linden

  • In Gainesville, the population is higher at 45,282, compared to 700 in Linden.
  • The median age in Linden is higher at 36.0 years, compared to 32.1 years in Gainesville.
  • Gainesville has a higher median income of $64,163 compared to $50,000 in Linden.
  • In Linden, the percentage of married families is higher at 150.0%, compared to 31.0% in Gainesville.
  • Gainesville has a higher poverty level at 13% compared to 10% in Linden.
  • Linden has a higher unemployment rate at 5.0% compared to 3.5% in Gainesville.

Demographics

Demographics Gainesville vs Linden provide insight into the diversity of the communities to compare.

Demographic Gainesville Linden
Black 15 5
White 36 85
Asian 3 5
Hispanic 34 Data is updating
Two or More Races 12 5
American Indian Data is updating Data is updating

Demographics Comparison: Gainesville vs Linden

  • A higher percentage of Black residents are in Gainesville at 15% compared to 5% in Linden.
  • The percentage of White residents is higher in Linden at 85% compared to 36% in Gainesville.
  • In Linden, the Asian population stands at 5%, greater than 3% in Gainesville.
  • The Hispanic community is larger in Gainesville at 34% compared to 0% in Linden.
  • More residents identify as two or more races in Gainesville at 12% compared to 5% in Linden.
  • The percentage of American Indian residents is the same in both Gainesville and Linden at 0%.

Health Statistics

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

Health Metric Gainesville Linden
Mental Health Not Good 17.3% Data is updating%
Physical Health Not Good 13.5% Data is updating%
Depression 20.5% Data is updating%
Smoking 17.7% Data is updating%
Binge Drinking 14.7% Data is updating%
Obesity 41.1% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Gainesville vs Linden

  • More residents in Gainesville report poor mental health at 17.3% compared to 0.0% in Linden.
  • Depression is more prevalent in Gainesville at 20.5% compared to 0.0% in Linden.
  • Smoking is more prevalent in Gainesville at 17.7% compared to 0.0% in Linden.
  • Binge drinking is more common in Gainesville at 14.7% compared to 0.0% in Linden.
  • Obesity rates are higher in Gainesville at 41.1% compared to 0.0% in Linden.
  • Disability percentages are higher in Gainesville at 12.0% compared to 0.0% in Linden.

Education Levels

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

Education Level Gainesville Linden
No Schooling 3.3% (1,499) 0.0% (Data is updating)
High School Diploma 13.1% (5,951) 0.0% (Data is updating)
Less than High School 24.9% (11,266) 0.0% (Data is updating)
Bachelor's Degree and Higher 14.8% (6,695) 0.0% (Data is updating)

Education Levels Comparison: Gainesville vs Linden

  • A higher percentage of residents in Gainesville have no formal schooling at 3.3% compared to 0.0% in Linden.
  • A higher percentage of residents in Gainesville hold a high school diploma at 13.1% compared to 0.0% in Linden.
  • More residents in Gainesville have less than a high school education at 24.9% compared to 0.0% in Linden.
  • A higher percentage of residents in Gainesville hold a bachelor's degree or higher at 14.8% compared to 0.0% in Linden.

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.