Demographics details for Honea path, SC vs Marietta, OK

Population Overview

Compare main population characteristics in Honea path, SC vs Marietta, OK.

Data Honea path Marietta
Population 3,788 2,832
Median Age 46.5 years 29.6 years
Median Income $50,375 $48,098
Married Families 37.0% 30.0%
Poverty Level 15% Data is updating
Unemployment Rate 3.5 3.5

Population Comparison: Honea path vs Marietta

  • In Honea path, the population is higher at 3,788, compared to 2,832 in Marietta.
  • Residents in Honea path have a higher median age of 46.5 years compared to 29.6 years in Marietta.
  • Honea path has a higher median income of $50,375 compared to $48,098 in Marietta.
  • A higher percentage of married families is found in Honea path at 37.0% compared to 30.0% in Marietta.
  • Honea path has a higher poverty level at 15% compared to 0% in Marietta.
  • The unemployment rate is the same in both Honea path and Marietta at 3.5%.

Demographics

Demographics Honea path vs Marietta provide insight into the diversity of the communities to compare.

Demographic Honea path Marietta
Black 12 4
White 84 37
Asian Data is updating Data is updating
Hispanic Data is updating 38
Two or More Races 4 17
American Indian Data is updating 4

Demographics Comparison: Honea path vs Marietta

  • A higher percentage of Black residents are in Honea path at 12% compared to 4% in Marietta.
  • Honea path has a higher percentage of White residents at 84% compared to 37% in Marietta.
  • Both Honea path and Marietta have the same percentage of Asian residents at 0%.
  • Marietta has a higher percentage of Hispanic residents at 38%, compared to 0% in Honea path.
  • The percentage of residents identifying as two or more races is higher in Marietta at 17%, compared to 4% in Honea path.
  • In Marietta, the percentage of American Indian residents is higher at 4%, compared to 0% in Honea path.

Health Statistics

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

Health Metric Honea path Marietta
Mental Health Not Good 18.7% 21.1%
Physical Health Not Good 12.7% 16.4%
Depression 23.6% 26.8%
Smoking 19.7% 25.1%
Binge Drinking 17.1% 13.0%
Obesity 37.2% 44.8%
Disability Percentage 25.0% 15.0%

Health Statistics Comparison: Honea path vs Marietta

  • In Marietta, a higher percentage report poor mental health at 21.1% compared to 18.7% in Honea path.
  • Higher depression rates are seen in Marietta at 26.8% versus 23.6% in Honea path.
  • Marietta has a higher smoking rate at 25.1% compared to 19.7% in Honea path.
  • Binge drinking is more common in Honea path at 17.1% compared to 13.0% in Marietta.
  • Marietta has higher obesity rates at 44.8% compared to 37.2% in Honea path.
  • Disability percentages are higher in Honea path at 25.0% compared to 15.0% in Marietta.

Education Levels

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

Education Level Honea path Marietta
No Schooling 1.2% (46) 1.6% (44)
High School Diploma 17.6% (667) 18.3% (517)
Less than High School 22.2% (841) 31.9% (902)
Bachelor's Degree and Higher 16.0% (606) 5.1% (144)

Education Levels Comparison: Honea path vs Marietta

  • In Marietta, a larger percentage of residents lack formal schooling at 1.6% compared to 1.2% in Honea path.
  • In Marietta, the rate of residents with high school diplomas is higher at 18.3% compared to 17.6% in Honea path.
  • The percentage of residents with less than a high school education is higher in Marietta at 31.9%, compared to 22.2% in Honea path.
  • A higher percentage of residents in Honea path hold a bachelor's degree or higher at 16.0% compared to 5.1% in Marietta.

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.