Demographics details for Oakhurst, NJ vs Gainesville, TX

Population Overview

Compare main population characteristics in Oakhurst, NJ vs Gainesville, TX.

Data Oakhurst Gainesville
Population 3,912 17,912
Median Age 37.0 years 34.8 years
Median Income $130,313 $49,170
Married Families 46.0% 36.0%
Poverty Level 3% 15%
Unemployment Rate 4.1 4.2

Population Comparison: Oakhurst vs Gainesville

  • The population in Gainesville is higher at 17,912, compared to 3,912 in Oakhurst.
  • Residents in Oakhurst have a higher median age of 37.0 years compared to 34.8 years in Gainesville.
  • Oakhurst has a higher median income of $130,313 compared to $49,170 in Gainesville.
  • A higher percentage of married families is found in Oakhurst at 46.0% compared to 36.0% in Gainesville.
  • The poverty level is higher in Gainesville at 15%, compared to 3% in Oakhurst.
  • Gainesville has a higher unemployment rate at 4.2% compared to 4.1% in Oakhurst.

Demographics

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

Demographic Oakhurst Gainesville
Black 5 7
White 78 47
Asian 1 2
Hispanic 4 31
Two or More Races 12 12
American Indian Data is updating 1

Demographics Comparison: Oakhurst vs Gainesville

  • In Gainesville, the percentage of Black residents is higher at 7% compared to 5% in Oakhurst.
  • Oakhurst has a higher percentage of White residents at 78% compared to 47% in Gainesville.
  • In Gainesville, the Asian population stands at 2%, greater than 1% in Oakhurst.
  • Gainesville has a higher percentage of Hispanic residents at 31%, compared to 4% in Oakhurst.
  • Both Oakhurst and Gainesville have the same percentage of residents identifying as two or more races at 12%.
  • In Gainesville, the percentage of American Indian residents is higher at 1%, compared to 0% in Oakhurst.

Health Statistics

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

Health Metric Oakhurst Gainesville
Mental Health Not Good 14.8% 19.6%
Physical Health Not Good 8.6% 14.2%
Depression 20.9% 25.2%
Smoking 12.4% 21.4%
Binge Drinking 19.8% 17.5%
Obesity 26.2% 38.5%
Disability Percentage 6.0% 14.0%

Health Statistics Comparison: Oakhurst vs Gainesville

  • In Gainesville, a higher percentage report poor mental health at 19.6% compared to 14.8% in Oakhurst.
  • Higher depression rates are seen in Gainesville at 25.2% versus 20.9% in Oakhurst.
  • Gainesville has a higher smoking rate at 21.4% compared to 12.4% in Oakhurst.
  • Binge drinking is more common in Oakhurst at 19.8% compared to 17.5% in Gainesville.
  • Gainesville has higher obesity rates at 38.5% compared to 26.2% in Oakhurst.
  • There is a higher percentage of disabled individuals in Gainesville at 14.0% compared to 6.0% in Oakhurst.

Education Levels

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

Education Level Oakhurst Gainesville
No Schooling 0.0% (1) 1.6% (286)
High School Diploma 13.8% (538) 15.0% (2,686)
Less than High School 3.6% (142) 20.8% (3,722)
Bachelor's Degree and Higher 28.5% (1,115) 11.2% (1,998)

Education Levels Comparison: Oakhurst vs Gainesville

  • In Gainesville, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Oakhurst.
  • In Gainesville, the rate of residents with high school diplomas is higher at 15.0% compared to 13.8% in Oakhurst.
  • The percentage of residents with less than a high school education is higher in Gainesville at 20.8%, compared to 3.6% in Oakhurst.
  • A higher percentage of residents in Oakhurst hold a bachelor's degree or higher at 28.5% compared to 11.2% in Gainesville.

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.