Demographics details for Murrieta, CA vs Gwynedd valley, PA

Population Overview

Compare main population characteristics in Murrieta, CA vs Gwynedd valley, PA.

Data Murrieta Gwynedd valley
Population 113,783 1,418
Median Age 35.6 years 48.0 years
Median Income $106,925 $112,500
Married Families 41.0% 64.0%
Poverty Level 9% 3%
Unemployment Rate 4.3 4.7

Population Comparison: Murrieta vs Gwynedd valley

  • In Murrieta, the population is higher at 113,783, compared to 1,418 in Gwynedd valley.
  • The median age in Gwynedd valley is higher at 48.0 years, compared to 35.6 years in Murrieta.
  • Gwynedd valley has a higher median income of $112,500, compared to $106,925 in Murrieta.
  • In Gwynedd valley, the percentage of married families is higher at 64.0%, compared to 41.0% in Murrieta.
  • Murrieta has a higher poverty level at 9% compared to 3% in Gwynedd valley.
  • Gwynedd valley has a higher unemployment rate at 4.7% compared to 4.3% in Murrieta.

Demographics

Demographics Murrieta vs Gwynedd valley provide insight into the diversity of the communities to compare.

Demographic Murrieta Gwynedd valley
Black 5 1
White 38 93
Asian 8 3
Hispanic 34 2
Two or More Races 15 1
American Indian Data is updating Data is updating

Demographics Comparison: Murrieta vs Gwynedd valley

  • A higher percentage of Black residents are in Murrieta at 5% compared to 1% in Gwynedd valley.
  • The percentage of White residents is higher in Gwynedd valley at 93% compared to 38% in Murrieta.
  • The Asian population is larger in Murrieta at 8% compared to 3% in Gwynedd valley.
  • The Hispanic community is larger in Murrieta at 34% compared to 2% in Gwynedd valley.
  • More residents identify as two or more races in Murrieta at 15% compared to 1% in Gwynedd valley.
  • The percentage of American Indian residents is the same in both Murrieta and Gwynedd valley at 0%.

Health Statistics

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

Health Metric Murrieta Gwynedd valley
Mental Health Not Good 15.0% Data is updating%
Physical Health Not Good 9.7% Data is updating%
Depression 17.3% Data is updating%
Smoking 11.3% Data is updating%
Binge Drinking 17.6% Data is updating%
Obesity 32.5% Data is updating%
Disability Percentage 10.0% Data is updating%

Health Statistics Comparison: Murrieta vs Gwynedd valley

  • More residents in Murrieta report poor mental health at 15.0% compared to 0.0% in Gwynedd valley.
  • Depression is more prevalent in Murrieta at 17.3% compared to 0.0% in Gwynedd valley.
  • Smoking is more prevalent in Murrieta at 11.3% compared to 0.0% in Gwynedd valley.
  • Binge drinking is more common in Murrieta at 17.6% compared to 0.0% in Gwynedd valley.
  • Obesity rates are higher in Murrieta at 32.5% compared to 0.0% in Gwynedd valley.
  • Disability percentages are higher in Murrieta at 10.0% compared to 0.0% in Gwynedd valley.

Education Levels

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

Education Level Murrieta Gwynedd valley
No Schooling 1.2% (1,387) 0.0% (Data is updating)
High School Diploma 11.8% (13,439) 0.0% (Data is updating)
Less than High School 8.4% (9,580) 0.0% (Data is updating)
Bachelor's Degree and Higher 18.6% (21,123) 0.0% (Data is updating)

Education Levels Comparison: Murrieta vs Gwynedd valley

  • A higher percentage of residents in Murrieta have no formal schooling at 1.2% compared to 0.0% in Gwynedd valley.
  • A higher percentage of residents in Murrieta hold a high school diploma at 11.8% compared to 0.0% in Gwynedd valley.
  • More residents in Murrieta have less than a high school education at 8.4% compared to 0.0% in Gwynedd valley.
  • A higher percentage of residents in Murrieta hold a bachelor's degree or higher at 18.6% compared to 0.0% in Gwynedd valley.

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.