Demographics details for Santa clarita, CA vs Laurel, MS

Population Overview

Compare main population characteristics in Santa clarita, CA vs Laurel, MS.

Data Santa clarita Laurel
Population 221,345 17,066
Median Age 37.3 years 37.6 years
Median Income $116,186 $36,336
Married Families 43.0% 29.0%
Poverty Level 8% 20%
Unemployment Rate 5.7 5.4

Population Comparison: Santa clarita vs Laurel

  • In Santa clarita, the population is higher at 221,345, compared to 17,066 in Laurel.
  • The median age in Laurel is higher at 37.6 years, compared to 37.3 years in Santa clarita.
  • Santa clarita has a higher median income of $116,186 compared to $36,336 in Laurel.
  • A higher percentage of married families is found in Santa clarita at 43.0% compared to 29.0% in Laurel.
  • The poverty level is higher in Laurel at 20%, compared to 8% in Santa clarita.
  • The unemployment rate in Santa clarita is higher at 5.7%, compared to 5.4% in Laurel.

Demographics

Demographics Santa clarita vs Laurel provide insight into the diversity of the communities to compare.

Demographic Santa clarita Laurel
Black 4 66
White 30 28
Asian 11 Data is updating
Hispanic 37 4
Two or More Races 17 1
American Indian 1 1

Demographics Comparison: Santa clarita vs Laurel

  • In Laurel, the percentage of Black residents is higher at 66% compared to 4% in Santa clarita.
  • Santa clarita has a higher percentage of White residents at 30% compared to 28% in Laurel.
  • The Asian population is larger in Santa clarita at 11% compared to 0% in Laurel.
  • The Hispanic community is larger in Santa clarita at 37% compared to 4% in Laurel.
  • More residents identify as two or more races in Santa clarita at 17% compared to 1% in Laurel.
  • The percentage of American Indian residents is the same in both Santa clarita and Laurel at 1%.

Health Statistics

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

Health Metric Santa clarita Laurel
Mental Health Not Good 14.7% 17.9%
Physical Health Not Good 9.6% 14.9%
Depression 16.8% 21.8%
Smoking 9.7% 23.1%
Binge Drinking 17.1% 11.6%
Obesity 26.2% 44.5%
Disability Percentage 10.0% 18.0%

Health Statistics Comparison: Santa clarita vs Laurel

  • In Laurel, a higher percentage report poor mental health at 17.9% compared to 14.7% in Santa clarita.
  • Higher depression rates are seen in Laurel at 21.8% versus 16.8% in Santa clarita.
  • Laurel has a higher smoking rate at 23.1% compared to 9.7% in Santa clarita.
  • Binge drinking is more common in Santa clarita at 17.1% compared to 11.6% in Laurel.
  • Laurel has higher obesity rates at 44.5% compared to 26.2% in Santa clarita.
  • There is a higher percentage of disabled individuals in Laurel at 18.0% compared to 10.0% in Santa clarita.

Education Levels

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

Education Level Santa clarita Laurel
No Schooling 1.4% (3,097) 0.7% (124)
High School Diploma 10.7% (23,725) 17.3% (2,956)
Less than High School 11.7% (25,882) 17.5% (2,979)
Bachelor's Degree and Higher 26.1% (57,684) 14.6% (2,485)

Education Levels Comparison: Santa clarita vs Laurel

  • A higher percentage of residents in Santa clarita have no formal schooling at 1.4% compared to 0.7% in Laurel.
  • In Laurel, the rate of residents with high school diplomas is higher at 17.3% compared to 10.7% in Santa clarita.
  • The percentage of residents with less than a high school education is higher in Laurel at 17.5%, compared to 11.7% in Santa clarita.
  • A higher percentage of residents in Santa clarita hold a bachelor's degree or higher at 26.1% compared to 14.6% in Laurel.

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.