Demographics details for Kenansville, NC vs Mohawk, TN

Population Overview

Compare main population characteristics in Kenansville, NC vs Mohawk, TN.

Data Kenansville Mohawk
Population 759 746
Median Age 48.4 years 34.0 years
Median Income $53,750 $52,000
Married Families 45.0% 40.0%
Poverty Level 15% 12%
Unemployment Rate 4.2 3.5

Population Comparison: Kenansville vs Mohawk

  • In Kenansville, the population is higher at 759, compared to 746 in Mohawk.
  • Residents in Kenansville have a higher median age of 48.4 years compared to 34.0 years in Mohawk.
  • Kenansville has a higher median income of $53,750 compared to $52,000 in Mohawk.
  • A higher percentage of married families is found in Kenansville at 45.0% compared to 40.0% in Mohawk.
  • Kenansville has a higher poverty level at 15% compared to 12% in Mohawk.
  • The unemployment rate in Kenansville is higher at 4.2%, compared to 3.5% in Mohawk.

Demographics

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

Demographic Kenansville Mohawk
Black 20 5
White 61 90
Asian 7 Data is updating
Hispanic 6 3
Two or More Races 6 2
American Indian Data is updating Data is updating

Demographics Comparison: Kenansville vs Mohawk

  • A higher percentage of Black residents are in Kenansville at 20% compared to 5% in Mohawk.
  • The percentage of White residents is higher in Mohawk at 90% compared to 61% in Kenansville.
  • The Asian population is larger in Kenansville at 7% compared to 0% in Mohawk.
  • The Hispanic community is larger in Kenansville at 6% compared to 3% in Mohawk.
  • More residents identify as two or more races in Kenansville at 6% compared to 2% in Mohawk.
  • The percentage of American Indian residents is the same in both Kenansville and Mohawk at 0%.

Health Statistics

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

Health Metric Kenansville Mohawk
Mental Health Not Good 18.4% Data is updating%
Physical Health Not Good 13.4% Data is updating%
Depression 24.3% Data is updating%
Smoking 21.6% Data is updating%
Binge Drinking 15.6% Data is updating%
Obesity 44.0% Data is updating%
Disability Percentage 26.0% Data is updating%

Health Statistics Comparison: Kenansville vs Mohawk

  • More residents in Kenansville report poor mental health at 18.4% compared to 0.0% in Mohawk.
  • Depression is more prevalent in Kenansville at 24.3% compared to 0.0% in Mohawk.
  • Smoking is more prevalent in Kenansville at 21.6% compared to 0.0% in Mohawk.
  • Binge drinking is more common in Kenansville at 15.6% compared to 0.0% in Mohawk.
  • Obesity rates are higher in Kenansville at 44.0% compared to 0.0% in Mohawk.
  • Disability percentages are higher in Kenansville at 26.0% compared to 0.0% in Mohawk.

Education Levels

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

Education Level Kenansville Mohawk
No Schooling 1.6% (12) 0.0% (Data is updating)
High School Diploma 24.0% (182) 0.0% (Data is updating)
Less than High School 13.8% (105) 0.0% (Data is updating)
Bachelor's Degree and Higher 22.5% (171) 0.0% (Data is updating)

Education Levels Comparison: Kenansville vs Mohawk

  • A higher percentage of residents in Kenansville have no formal schooling at 1.6% compared to 0.0% in Mohawk.
  • A higher percentage of residents in Kenansville hold a high school diploma at 24.0% compared to 0.0% in Mohawk.
  • More residents in Kenansville have less than a high school education at 13.8% compared to 0.0% in Mohawk.
  • A higher percentage of residents in Kenansville hold a bachelor's degree or higher at 22.5% compared to 0.0% in Mohawk.

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.