Demographics details for Camden, WV vs Central city, KY

Population Overview

Compare main population characteristics in Camden, WV vs Central city, KY.

Data Camden Central city
Population 184 5,810
Median Age 38.0 years 33.5 years
Median Income $46,000 $52,184
Married Families 60.0% 38.0%
Poverty Level 12% 16%
Unemployment Rate 4.5 3.5

Population Comparison: Camden vs Central city

  • The population in Central city is higher at 5,810, compared to 184 in Camden.
  • Residents in Camden have a higher median age of 38.0 years compared to 33.5 years in Central city.
  • Central city has a higher median income of $52,184, compared to $46,000 in Camden.
  • A higher percentage of married families is found in Camden at 60.0% compared to 38.0% in Central city.
  • The poverty level is higher in Central city at 16%, compared to 12% in Camden.
  • The unemployment rate in Camden is higher at 4.5%, compared to 3.5% in Central city.

Demographics

Demographics Camden vs Central city provide insight into the diversity of the communities to compare.

Demographic Camden Central city
Black Data is updating 3
White 100 88
Asian Data is updating Data is updating
Hispanic Data is updating 2
Two or More Races Data is updating 6
American Indian Data is updating 1

Demographics Comparison: Camden vs Central city

  • In Central city, the percentage of Black residents is higher at 3% compared to 0% in Camden.
  • Camden has a higher percentage of White residents at 100% compared to 88% in Central city.
  • Both Camden and Central city have the same percentage of Asian residents at 0%.
  • Central city has a higher percentage of Hispanic residents at 2%, compared to 0% in Camden.
  • The percentage of residents identifying as two or more races is higher in Central city at 6%, compared to 0% in Camden.
  • In Central city, the percentage of American Indian residents is higher at 1%, compared to 0% in Camden.

Health Statistics

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

Health Metric Camden Central city
Mental Health Not Good Data is updating% 19.3%
Physical Health Not Good Data is updating% 15.5%
Depression Data is updating% 26.8%
Smoking Data is updating% 24.8%
Binge Drinking Data is updating% 14.8%
Obesity Data is updating% 41.9%
Disability Percentage Data is updating% 15.0%

Health Statistics Comparison: Camden vs Central city

  • In Central city, a higher percentage report poor mental health at 19.3% compared to 0.0% in Camden.
  • Higher depression rates are seen in Central city at 26.8% versus 0.0% in Camden.
  • Central city has a higher smoking rate at 24.8% compared to 0.0% in Camden.
  • More residents engage in binge drinking in Central city at 14.8% compared to 0.0% in Camden.
  • Central city has higher obesity rates at 41.9% compared to 0.0% in Camden.
  • There is a higher percentage of disabled individuals in Central city at 15.0% compared to 0.0% in Camden.

Education Levels

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

Education Level Camden Central city
No Schooling 0.0% (Data is updating) 1.1% (65)
High School Diploma 0.0% (Data is updating) 15.4% (897)
Less than High School 0.0% (Data is updating) 15.6% (905)
Bachelor's Degree and Higher 0.0% (Data is updating) 8.3% (480)

Education Levels Comparison: Camden vs Central city

  • In Central city, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Camden.
  • In Central city, the rate of residents with high school diplomas is higher at 15.4% compared to 0.0% in Camden.
  • The percentage of residents with less than a high school education is higher in Central city at 15.6%, compared to 0.0% in Camden.
  • In Central city, a larger share of residents have a bachelor's degree or higher at 8.3% compared to 0.0% in Camden.

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.