Demographics details for Canoga park, CA vs Elm city, NC

Population Overview

Compare main population characteristics in Canoga park, CA vs Elm city, NC.

Data Canoga park Elm city
Population 58,116 1,204
Median Age 39.0 years 48.0 years
Median Income $78,500 $48,125
Married Families 18900.0% 43.0%
Poverty Level 12% 15%
Unemployment Rate 4.5 5.1

Population Comparison: Canoga park vs Elm city

  • In Canoga park, the population is higher at 58,116, compared to 1,204 in Elm city.
  • The median age in Elm city is higher at 48.0 years, compared to 39.0 years in Canoga park.
  • Canoga park has a higher median income of $78,500 compared to $48,125 in Elm city.
  • A higher percentage of married families is found in Canoga park at 18900.0% compared to 43.0% in Elm city.
  • The poverty level is higher in Elm city at 15%, compared to 12% in Canoga park.
  • Elm city has a higher unemployment rate at 5.1% compared to 4.5% in Canoga park.

Demographics

Demographics Canoga park vs Elm city provide insight into the diversity of the communities to compare.

Demographic Canoga park Elm city
Black 3 60
White 52 25
Asian 10 3
Hispanic 30 11
Two or More Races 5 1
American Indian Data is updating Data is updating

Demographics Comparison: Canoga park vs Elm city

  • In Elm city, the percentage of Black residents is higher at 60% compared to 3% in Canoga park.
  • Canoga park has a higher percentage of White residents at 52% compared to 25% in Elm city.
  • The Asian population is larger in Canoga park at 10% compared to 3% in Elm city.
  • The Hispanic community is larger in Canoga park at 30% compared to 11% in Elm city.
  • More residents identify as two or more races in Canoga park at 5% compared to 1% in Elm city.
  • The percentage of American Indian residents is the same in both Canoga park and Elm city at 0%.

Health Statistics

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

Health Metric Canoga park Elm city
Mental Health Not Good Data is updating% 16.8%
Physical Health Not Good Data is updating% 12.0%
Depression Data is updating% 21.2%
Smoking Data is updating% 18.8%
Binge Drinking Data is updating% 15.7%
Obesity Data is updating% 37.9%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: Canoga park vs Elm city

  • In Elm city, a higher percentage report poor mental health at 16.8% compared to 0.0% in Canoga park.
  • Higher depression rates are seen in Elm city at 21.2% versus 0.0% in Canoga park.
  • Elm city has a higher smoking rate at 18.8% compared to 0.0% in Canoga park.
  • More residents engage in binge drinking in Elm city at 15.7% compared to 0.0% in Canoga park.
  • Elm city has higher obesity rates at 37.9% compared to 0.0% in Canoga park.
  • There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 0.0% in Canoga park.

Education Levels

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

Education Level Canoga park Elm city
No Schooling 0.0% (Data is updating) 0.7% (8)
High School Diploma 0.0% (Data is updating) 24.1% (290)
Less than High School 0.0% (Data is updating) 15.1% (182)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.5% (139)

Education Levels Comparison: Canoga park vs Elm city

  • In Elm city, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Canoga park.
  • In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 0.0% in Canoga park.
  • The percentage of residents with less than a high school education is higher in Elm city at 15.1%, compared to 0.0% in Canoga park.
  • In Elm city, a larger share of residents have a bachelor's degree or higher at 11.5% compared to 0.0% in Canoga park.

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.