Demographics details for Camden, TN vs Fall river mills, CA

Population Overview

Compare main population characteristics in Camden, TN vs Fall river mills, CA.

Data Camden Fall river mills
Population 3,659 678
Median Age 43.3 years 27.7 years
Median Income $42,500 $36,827
Married Families 33.0% 34.0%
Poverty Level 14% 15%
Unemployment Rate 4.5 6.0

Population Comparison: Camden vs Fall river mills

  • In Camden, the population is higher at 3,659, compared to 678 in Fall river mills.
  • Residents in Camden have a higher median age of 43.3 years compared to 27.7 years in Fall river mills.
  • Camden has a higher median income of $42,500 compared to $36,827 in Fall river mills.
  • In Fall river mills, the percentage of married families is higher at 34.0%, compared to 33.0% in Camden.
  • The poverty level is higher in Fall river mills at 15%, compared to 14% in Camden.
  • Fall river mills has a higher unemployment rate at 6.0% compared to 4.5% in Camden.

Demographics

Demographics Camden vs Fall river mills provide insight into the diversity of the communities to compare.

Demographic Camden Fall river mills
Black 4 1
White 94 36
Asian Data is updating Data is updating
Hispanic Data is updating 25
Two or More Races 2 27
American Indian Data is updating 11

Demographics Comparison: Camden vs Fall river mills

  • A higher percentage of Black residents are in Camden at 4% compared to 1% in Fall river mills.
  • Camden has a higher percentage of White residents at 94% compared to 36% in Fall river mills.
  • Both Camden and Fall river mills have the same percentage of Asian residents at 0%.
  • Fall river mills has a higher percentage of Hispanic residents at 25%, compared to 0% in Camden.
  • The percentage of residents identifying as two or more races is higher in Fall river mills at 27%, compared to 2% in Camden.
  • In Fall river mills, the percentage of American Indian residents is higher at 11%, compared to 0% in Camden.

Health Statistics

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

Health Metric Camden Fall river mills
Mental Health Not Good 21.3% 17.9%
Physical Health Not Good 15.1% 11.7%
Depression 31.6% 21.7%
Smoking 25.6% 14.7%
Binge Drinking 14.6% 18.0%
Obesity 35.8% 31.3%
Disability Percentage 26.0% 12.0%

Health Statistics Comparison: Camden vs Fall river mills

  • More residents in Camden report poor mental health at 21.3% compared to 17.9% in Fall river mills.
  • Depression is more prevalent in Camden at 31.6% compared to 21.7% in Fall river mills.
  • Smoking is more prevalent in Camden at 25.6% compared to 14.7% in Fall river mills.
  • More residents engage in binge drinking in Fall river mills at 18.0% compared to 14.6% in Camden.
  • Obesity rates are higher in Camden at 35.8% compared to 31.3% in Fall river mills.
  • Disability percentages are higher in Camden at 26.0% compared to 12.0% in Fall river mills.

Education Levels

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

Education Level Camden Fall river mills
No Schooling 1.0% (37) 0.0% (Data is updating)
High School Diploma 23.7% (868) 13.4% (91)
Less than High School 19.6% (716) 9.7% (66)
Bachelor's Degree and Higher 10.6% (389) 4.9% (33)

Education Levels Comparison: Camden vs Fall river mills

  • A higher percentage of residents in Camden have no formal schooling at 1.0% compared to 0.0% in Fall river mills.
  • A higher percentage of residents in Camden hold a high school diploma at 23.7% compared to 13.4% in Fall river mills.
  • More residents in Camden have less than a high school education at 19.6% compared to 9.7% in Fall river mills.
  • A higher percentage of residents in Camden hold a bachelor's degree or higher at 10.6% compared to 4.9% in Fall river mills.

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.