Demographics details for Indian trail, NC vs Oakland park, FL

Population Overview

Compare main population characteristics in Indian trail, NC vs Oakland park, FL.

Data Indian trail Oakland park
Population 41,724 43,824
Median Age 36.1 years 39.1 years
Median Income $95,101 $64,989
Married Families 45.0% 30.0%
Poverty Level 6% 14%
Unemployment Rate 3.8 3.1

Population Comparison: Indian trail vs Oakland park

  • The population in Oakland park is higher at 43,824, compared to 41,724 in Indian trail.
  • The median age in Oakland park is higher at 39.1 years, compared to 36.1 years in Indian trail.
  • Indian trail has a higher median income of $95,101 compared to $64,989 in Oakland park.
  • A higher percentage of married families is found in Indian trail at 45.0% compared to 30.0% in Oakland park.
  • The poverty level is higher in Oakland park at 14%, compared to 6% in Indian trail.
  • The unemployment rate in Indian trail is higher at 3.8%, compared to 3.1% in Oakland park.

Demographics

Demographics Indian trail vs Oakland park provide insight into the diversity of the communities to compare.

Demographic Indian trail Oakland park
Black 9 29
White 71 20
Asian 3 2
Hispanic 11 32
Two or More Races 6 17
American Indian Data is updating Data is updating

Demographics Comparison: Indian trail vs Oakland park

  • In Oakland park, the percentage of Black residents is higher at 29% compared to 9% in Indian trail.
  • Indian trail has a higher percentage of White residents at 71% compared to 20% in Oakland park.
  • The Asian population is larger in Indian trail at 3% compared to 2% in Oakland park.
  • Oakland park has a higher percentage of Hispanic residents at 32%, compared to 11% in Indian trail.
  • The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 6% in Indian trail.
  • The percentage of American Indian residents is the same in both Indian trail and Oakland park at 0%.

Health Statistics

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

Health Metric Indian trail Oakland park
Mental Health Not Good 14.6% 16.3%
Physical Health Not Good 9.3% 12.2%
Depression 22.0% 17.8%
Smoking 13.5% 20.1%
Binge Drinking 18.5% 15.0%
Obesity 31.2% 31.1%
Disability Percentage 7.0% 11.0%

Health Statistics Comparison: Indian trail vs Oakland park

  • In Oakland park, a higher percentage report poor mental health at 16.3% compared to 14.6% in Indian trail.
  • Depression is more prevalent in Indian trail at 22.0% compared to 17.8% in Oakland park.
  • Oakland park has a higher smoking rate at 20.1% compared to 13.5% in Indian trail.
  • Binge drinking is more common in Indian trail at 18.5% compared to 15.0% in Oakland park.
  • Obesity rates are higher in Indian trail at 31.2% compared to 31.1% in Oakland park.
  • There is a higher percentage of disabled individuals in Oakland park at 11.0% compared to 7.0% in Indian trail.

Education Levels

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

Education Level Indian trail Oakland park
No Schooling 0.7% (287) 1.4% (596)
High School Diploma 12.8% (5,353) 19.8% (8,695)
Less than High School 6.6% (2,761) 16.2% (7,092)
Bachelor's Degree and Higher 24.4% (10,201) 20.7% (9,073)

Education Levels Comparison: Indian trail vs Oakland park

  • In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Indian trail.
  • In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 12.8% in Indian trail.
  • The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 6.6% in Indian trail.
  • A higher percentage of residents in Indian trail hold a bachelor's degree or higher at 24.4% compared to 20.7% in Oakland park.

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.