Demographics details for Water valley, MS vs Catlettsburg, KY

Population Overview

Compare main population characteristics in Water valley, MS vs Catlettsburg, KY.

Data Water valley Catlettsburg
Population 3,361 1,746
Median Age 35.8 years 48.0 years
Median Income $45,718 $33,047
Married Families 27.0% 28.0%
Poverty Level Data is updating 12%
Unemployment Rate 4.3 5.0

Population Comparison: Water valley vs Catlettsburg

  • In Water valley, the population is higher at 3,361, compared to 1,746 in Catlettsburg.
  • The median age in Catlettsburg is higher at 48.0 years, compared to 35.8 years in Water valley.
  • Water valley has a higher median income of $45,718 compared to $33,047 in Catlettsburg.
  • In Catlettsburg, the percentage of married families is higher at 28.0%, compared to 27.0% in Water valley.
  • The poverty level is higher in Catlettsburg at 12%, compared to 0% in Water valley.
  • Catlettsburg has a higher unemployment rate at 5.0% compared to 4.3% in Water valley.

Demographics

Demographics Water valley vs Catlettsburg provide insight into the diversity of the communities to compare.

Demographic Water valley Catlettsburg
Black 49 5
White 49 90
Asian Data is updating Data is updating
Hispanic 2 1
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Water valley vs Catlettsburg

  • A higher percentage of Black residents are in Water valley at 49% compared to 5% in Catlettsburg.
  • The percentage of White residents is higher in Catlettsburg at 90% compared to 49% in Water valley.
  • Both Water valley and Catlettsburg have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Water valley at 2% compared to 1% in Catlettsburg.
  • The percentage of residents identifying as two or more races is higher in Catlettsburg at 4%, compared to 0% in Water valley.
  • The percentage of American Indian residents is the same in both Water valley and Catlettsburg at 0%.

Health Statistics

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

Health Metric Water valley Catlettsburg
Mental Health Not Good 18.2% 22.4%
Physical Health Not Good 13.8% 18.0%
Depression 22.0% 32.9%
Smoking 23.1% 29.0%
Binge Drinking 12.9% 13.5%
Obesity 44.0% 42.8%
Disability Percentage 14.0% 32.0%

Health Statistics Comparison: Water valley vs Catlettsburg

  • In Catlettsburg, a higher percentage report poor mental health at 22.4% compared to 18.2% in Water valley.
  • Higher depression rates are seen in Catlettsburg at 32.9% versus 22.0% in Water valley.
  • Catlettsburg has a higher smoking rate at 29.0% compared to 23.1% in Water valley.
  • More residents engage in binge drinking in Catlettsburg at 13.5% compared to 12.9% in Water valley.
  • Obesity rates are higher in Water valley at 44.0% compared to 42.8% in Catlettsburg.
  • There is a higher percentage of disabled individuals in Catlettsburg at 32.0% compared to 14.0% in Water valley.

Education Levels

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

Education Level Water valley Catlettsburg
No Schooling 1.0% (34) 2.9% (50)
High School Diploma 24.0% (805) 28.8% (502)
Less than High School 13.0% (437) 33.4% (584)
Bachelor's Degree and Higher 9.6% (322) 4.6% (80)

Education Levels Comparison: Water valley vs Catlettsburg

  • In Catlettsburg, a larger percentage of residents lack formal schooling at 2.9% compared to 1.0% in Water valley.
  • In Catlettsburg, the rate of residents with high school diplomas is higher at 28.8% compared to 24.0% in Water valley.
  • The percentage of residents with less than a high school education is higher in Catlettsburg at 33.4%, compared to 13.0% in Water valley.
  • A higher percentage of residents in Water valley hold a bachelor's degree or higher at 9.6% compared to 4.6% in Catlettsburg.

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.