Demographics details for White swan, WA vs Indian trail, NC

Population Overview

Compare main population characteristics in White swan, WA vs Indian trail, NC.

Data White swan Indian trail
Population 561 41,724
Median Age 24.5 years 36.1 years
Median Income $51,667 $95,101
Married Families 13.0% 45.0%
Poverty Level 12% 6%
Unemployment Rate 8.2 3.8

Population Comparison: White swan vs Indian trail

  • The population in Indian trail is higher at 41,724, compared to 561 in White swan.
  • The median age in Indian trail is higher at 36.1 years, compared to 24.5 years in White swan.
  • Indian trail has a higher median income of $95,101, compared to $51,667 in White swan.
  • In Indian trail, the percentage of married families is higher at 45.0%, compared to 13.0% in White swan.
  • White swan has a higher poverty level at 12% compared to 6% in Indian trail.
  • The unemployment rate in White swan is higher at 8.2%, compared to 3.8% in Indian trail.

Demographics

Demographics White swan vs Indian trail provide insight into the diversity of the communities to compare.

Demographic White swan Indian trail
Black Data is updating 9
White -6 71
Asian Data is updating 3
Hispanic 26 11
Two or More Races 10 6
American Indian 70 Data is updating

Demographics Comparison: White swan vs Indian trail

  • In Indian trail, the percentage of Black residents is higher at 9% compared to 0% in White swan.
  • The percentage of White residents is higher in Indian trail at 71% compared to -6% in White swan.
  • In Indian trail, the Asian population stands at 3%, greater than 0% in White swan.
  • The Hispanic community is larger in White swan at 26% compared to 11% in Indian trail.
  • More residents identify as two or more races in White swan at 10% compared to 6% in Indian trail.
  • A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Indian trail.

Health Statistics

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

Health Metric White swan Indian trail
Mental Health Not Good 22.0% 14.6%
Physical Health Not Good 18.1% 9.3%
Depression 24.7% 22.0%
Smoking 26.0% 13.5%
Binge Drinking 15.8% 18.5%
Obesity 43.8% 31.2%
Disability Percentage 21.0% 7.0%

Health Statistics Comparison: White swan vs Indian trail

  • More residents in White swan report poor mental health at 22.0% compared to 14.6% in Indian trail.
  • Depression is more prevalent in White swan at 24.7% compared to 22.0% in Indian trail.
  • Smoking is more prevalent in White swan at 26.0% compared to 13.5% in Indian trail.
  • More residents engage in binge drinking in Indian trail at 18.5% compared to 15.8% in White swan.
  • Obesity rates are higher in White swan at 43.8% compared to 31.2% in Indian trail.
  • Disability percentages are higher in White swan at 21.0% 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 White swan Indian trail
No Schooling 0.0% (Data is updating) 0.7% (287)
High School Diploma 16.4% (92) 12.8% (5,353)
Less than High School 24.8% (139) 6.6% (2,761)
Bachelor's Degree and Higher 0.9% (5) 24.4% (10,201)

Education Levels Comparison: White swan vs Indian trail

  • In Indian trail, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in White swan.
  • A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 12.8% in Indian trail.
  • More residents in White swan have less than a high school education at 24.8% compared to 6.6% in Indian trail.
  • In Indian trail, a larger share of residents have a bachelor's degree or higher at 24.4% compared to 0.9% in White swan.

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.