Demographics details for White swan, WA vs Rockholds, KY

Population Overview

Compare main population characteristics in White swan, WA vs Rockholds, KY.

Data White swan Rockholds
Population 561 369
Median Age 24.5 years 46.1 years
Median Income $51,667 $42,063
Married Families 13.0% 43.0%
Poverty Level 12% 15%
Unemployment Rate 8.2 4.5

Population Comparison: White swan vs Rockholds

  • In White swan, the population is higher at 561, compared to 369 in Rockholds.
  • The median age in Rockholds is higher at 46.1 years, compared to 24.5 years in White swan.
  • White swan has a higher median income of $51,667 compared to $42,063 in Rockholds.
  • In Rockholds, the percentage of married families is higher at 43.0%, compared to 13.0% in White swan.
  • The poverty level is higher in Rockholds at 15%, compared to 12% in White swan.
  • The unemployment rate in White swan is higher at 8.2%, compared to 4.5% in Rockholds.

Demographics

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

Demographic White swan Rockholds
Black Data is updating Data is updating
White -6 100
Asian Data is updating Data is updating
Hispanic 26 Data is updating
Two or More Races 10 Data is updating
American Indian 70 Data is updating

Demographics Comparison: White swan vs Rockholds

  • The percentage of Black residents is the same in both White swan and Rockholds at 0%.
  • The percentage of White residents is higher in Rockholds at 100% compared to -6% in White swan.
  • Both White swan and Rockholds have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in White swan at 26% compared to 0% in Rockholds.
  • More residents identify as two or more races in White swan at 10% compared to 0% in Rockholds.
  • A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Rockholds.

Health Statistics

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

Health Metric White swan Rockholds
Mental Health Not Good 22.0% 22.4%
Physical Health Not Good 18.1% 17.4%
Depression 24.7% 32.6%
Smoking 26.0% 28.7%
Binge Drinking 15.8% 14.0%
Obesity 43.8% 43.5%
Disability Percentage 21.0% 40.0%

Health Statistics Comparison: White swan vs Rockholds

  • In Rockholds, a higher percentage report poor mental health at 22.4% compared to 22.0% in White swan.
  • Higher depression rates are seen in Rockholds at 32.6% versus 24.7% in White swan.
  • Rockholds has a higher smoking rate at 28.7% compared to 26.0% in White swan.
  • Binge drinking is more common in White swan at 15.8% compared to 14.0% in Rockholds.
  • Obesity rates are higher in White swan at 43.8% compared to 43.5% in Rockholds.
  • There is a higher percentage of disabled individuals in Rockholds at 40.0% compared to 21.0% in White swan.

Education Levels

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

Education Level White swan Rockholds
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 16.4% (92) 39.8% (147)
Less than High School 24.8% (139) 32.5% (120)
Bachelor's Degree and Higher 0.9% (5) 2.7% (10)

Education Levels Comparison: White swan vs Rockholds

  • The percentage of residents with no formal schooling is the same in both White swan and Rockholds at 0.0%.
  • In Rockholds, the rate of residents with high school diplomas is higher at 39.8% compared to 16.4% in White swan.
  • The percentage of residents with less than a high school education is higher in Rockholds at 32.5%, compared to 24.8% in White swan.
  • In Rockholds, a larger share of residents have a bachelor's degree or higher at 2.7% 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.