Demographics details for Lincoln city, OR vs Indian trail, NC

Population Overview

Compare main population characteristics in Lincoln city, OR vs Indian trail, NC.

Data Lincoln city Indian trail
Population 9,966 41,724
Median Age 50.6 years 36.1 years
Median Income $54,210 $95,101
Married Families 41.0% 45.0%
Poverty Level 10% 6%
Unemployment Rate 4.5 3.8

Population Comparison: Lincoln city vs Indian trail

  • The population in Indian trail is higher at 41,724, compared to 9,966 in Lincoln city.
  • Residents in Lincoln city have a higher median age of 50.6 years compared to 36.1 years in Indian trail.
  • Indian trail has a higher median income of $95,101, compared to $54,210 in Lincoln city.
  • In Indian trail, the percentage of married families is higher at 45.0%, compared to 41.0% in Lincoln city.
  • Lincoln city has a higher poverty level at 10% compared to 6% in Indian trail.
  • The unemployment rate in Lincoln city is higher at 4.5%, compared to 3.8% in Indian trail.

Demographics

Demographics Lincoln city vs Indian trail provide insight into the diversity of the communities to compare.

Demographic Lincoln city Indian trail
Black Data is updating 9
White 78 71
Asian 3 3
Hispanic 10 11
Two or More Races 7 6
American Indian 2 Data is updating

Demographics Comparison: Lincoln city vs Indian trail

  • In Indian trail, the percentage of Black residents is higher at 9% compared to 0% in Lincoln city.
  • Lincoln city has a higher percentage of White residents at 78% compared to 71% in Indian trail.
  • Both Lincoln city and Indian trail have the same percentage of Asian residents at 3%.
  • Indian trail has a higher percentage of Hispanic residents at 11%, compared to 10% in Lincoln city.
  • More residents identify as two or more races in Lincoln city at 7% compared to 6% in Indian trail.
  • A greater percentage of American Indian residents live in Lincoln city at 2% compared to 0% in Indian trail.

Health Statistics

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

Health Metric Lincoln city Indian trail
Mental Health Not Good 20.3% 14.6%
Physical Health Not Good 12.8% 9.3%
Depression 28.9% 22.0%
Smoking 17.6% 13.5%
Binge Drinking 16.8% 18.5%
Obesity 36.6% 31.2%
Disability Percentage 22.0% 7.0%

Health Statistics Comparison: Lincoln city vs Indian trail

  • More residents in Lincoln city report poor mental health at 20.3% compared to 14.6% in Indian trail.
  • Depression is more prevalent in Lincoln city at 28.9% compared to 22.0% in Indian trail.
  • Smoking is more prevalent in Lincoln city at 17.6% compared to 13.5% in Indian trail.
  • More residents engage in binge drinking in Indian trail at 18.5% compared to 16.8% in Lincoln city.
  • Obesity rates are higher in Lincoln city at 36.6% compared to 31.2% in Indian trail.
  • Disability percentages are higher in Lincoln city at 22.0% 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 Lincoln city Indian trail
No Schooling 0.5% (51) 0.7% (287)
High School Diploma 16.2% (1,616) 12.8% (5,353)
Less than High School 12.9% (1,284) 6.6% (2,761)
Bachelor's Degree and Higher 21.9% (2,184) 24.4% (10,201)

Education Levels Comparison: Lincoln city vs Indian trail

  • In Indian trail, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Lincoln city.
  • A higher percentage of residents in Lincoln city hold a high school diploma at 16.2% compared to 12.8% in Indian trail.
  • More residents in Lincoln city have less than a high school education at 12.9% 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 21.9% in Lincoln city.

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.