Demographics details for Mccurtain, OK vs Kenansville, NC

Population Overview

Compare main population characteristics in Mccurtain, OK vs Kenansville, NC.

Data Mccurtain Kenansville
Population 30,931 759
Median Age 38.2 years 48.4 years
Median Income $47,046 $53,750
Married Families 37.0% 45.0%
Poverty Level 12% 15%
Unemployment Rate 4.6 4.2

Population Comparison: Mccurtain vs Kenansville

  • In Mccurtain, the population is higher at 30,931, compared to 759 in Kenansville.
  • The median age in Kenansville is higher at 48.4 years, compared to 38.2 years in Mccurtain.
  • Kenansville has a higher median income of $53,750, compared to $47,046 in Mccurtain.
  • In Kenansville, the percentage of married families is higher at 45.0%, compared to 37.0% in Mccurtain.
  • The poverty level is higher in Kenansville at 15%, compared to 12% in Mccurtain.
  • The unemployment rate in Mccurtain is higher at 4.6%, compared to 4.2% in Kenansville.

Demographics

Demographics Mccurtain vs Kenansville provide insight into the diversity of the communities to compare.

Demographic Mccurtain Kenansville
Black 8 20
White 58 61
Asian 1 7
Hispanic 7 6
Two or More Races 12 6
American Indian 14 Data is updating

Demographics Comparison: Mccurtain vs Kenansville

  • In Kenansville, the percentage of Black residents is higher at 20% compared to 8% in Mccurtain.
  • The percentage of White residents is higher in Kenansville at 61% compared to 58% in Mccurtain.
  • In Kenansville, the Asian population stands at 7%, greater than 1% in Mccurtain.
  • The Hispanic community is larger in Mccurtain at 7% compared to 6% in Kenansville.
  • More residents identify as two or more races in Mccurtain at 12% compared to 6% in Kenansville.
  • A greater percentage of American Indian residents live in Mccurtain at 14% compared to 0% in Kenansville.

Health Statistics

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

Health Metric Mccurtain Kenansville
Mental Health Not Good 20.9% 18.4%
Physical Health Not Good 15.2% 13.4%
Depression 26.9% 24.3%
Smoking 25.0% 21.6%
Binge Drinking 13.7% 15.6%
Obesity 46.9% 44.0%
Disability Percentage 21.0% 26.0%

Health Statistics Comparison: Mccurtain vs Kenansville

  • More residents in Mccurtain report poor mental health at 20.9% compared to 18.4% in Kenansville.
  • Depression is more prevalent in Mccurtain at 26.9% compared to 24.3% in Kenansville.
  • Smoking is more prevalent in Mccurtain at 25.0% compared to 21.6% in Kenansville.
  • More residents engage in binge drinking in Kenansville at 15.6% compared to 13.7% in Mccurtain.
  • Obesity rates are higher in Mccurtain at 46.9% compared to 44.0% in Kenansville.
  • There is a higher percentage of disabled individuals in Kenansville at 26.0% compared to 21.0% in Mccurtain.

Education Levels

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

Education Level Mccurtain Kenansville
No Schooling 0.7% (209) 1.6% (12)
High School Diploma 23.5% (7,268) 24.0% (182)
Less than High School 17.2% (5,334) 13.8% (105)
Bachelor's Degree and Higher 10.3% (3,200) 22.5% (171)

Education Levels Comparison: Mccurtain vs Kenansville

  • In Kenansville, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Mccurtain.
  • In Kenansville, the rate of residents with high school diplomas is higher at 24.0% compared to 23.5% in Mccurtain.
  • More residents in Mccurtain have less than a high school education at 17.2% compared to 13.8% in Kenansville.
  • In Kenansville, a larger share of residents have a bachelor's degree or higher at 22.5% compared to 10.3% in Mccurtain.

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.