Demographics details for Bellflower, CA vs Crystal springs, MS

Population Overview

Compare main population characteristics in Bellflower, CA vs Crystal springs, MS.

Data Bellflower Crystal springs
Population 76,405 4,700
Median Age 35.5 years 45.3 years
Median Income $75,379 $44,653
Married Families 34.0% 28.0%
Poverty Level 14% 12%
Unemployment Rate 6.2 3.5

Population Comparison: Bellflower vs Crystal springs

  • In Bellflower, the population is higher at 76,405, compared to 4,700 in Crystal springs.
  • The median age in Crystal springs is higher at 45.3 years, compared to 35.5 years in Bellflower.
  • Bellflower has a higher median income of $75,379 compared to $44,653 in Crystal springs.
  • A higher percentage of married families is found in Bellflower at 34.0% compared to 28.0% in Crystal springs.
  • Bellflower has a higher poverty level at 14% compared to 12% in Crystal springs.
  • The unemployment rate in Bellflower is higher at 6.2%, compared to 3.5% in Crystal springs.

Demographics

Demographics Bellflower vs Crystal springs provide insight into the diversity of the communities to compare.

Demographic Bellflower Crystal springs
Black 13 66
White -3 24
Asian 12 Data is updating
Hispanic 62 6
Two or More Races 15 4
American Indian 1 Data is updating

Demographics Comparison: Bellflower vs Crystal springs

  • In Crystal springs, the percentage of Black residents is higher at 66% compared to 13% in Bellflower.
  • The percentage of White residents is higher in Crystal springs at 24% compared to -3% in Bellflower.
  • The Asian population is larger in Bellflower at 12% compared to 0% in Crystal springs.
  • The Hispanic community is larger in Bellflower at 62% compared to 6% in Crystal springs.
  • More residents identify as two or more races in Bellflower at 15% compared to 4% in Crystal springs.
  • A greater percentage of American Indian residents live in Bellflower at 1% compared to 0% in Crystal springs.

Health Statistics

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

Health Metric Bellflower Crystal springs
Mental Health Not Good 16.1% 18.5%
Physical Health Not Good 12.1% 14.9%
Depression 15.9% 21.5%
Smoking 12.2% 24.2%
Binge Drinking 14.7% 12.2%
Obesity 30.2% 45.8%
Disability Percentage 10.0% 18.0%

Health Statistics Comparison: Bellflower vs Crystal springs

  • In Crystal springs, a higher percentage report poor mental health at 18.5% compared to 16.1% in Bellflower.
  • Higher depression rates are seen in Crystal springs at 21.5% versus 15.9% in Bellflower.
  • Crystal springs has a higher smoking rate at 24.2% compared to 12.2% in Bellflower.
  • Binge drinking is more common in Bellflower at 14.7% compared to 12.2% in Crystal springs.
  • Crystal springs has higher obesity rates at 45.8% compared to 30.2% in Bellflower.
  • There is a higher percentage of disabled individuals in Crystal springs at 18.0% compared to 10.0% in Bellflower.

Education Levels

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

Education Level Bellflower Crystal springs
No Schooling 3.8% (2,888) 2.0% (94)
High School Diploma 15.5% (11,834) 12.1% (568)
Less than High School 28.9% (22,107) 20.1% (945)
Bachelor's Degree and Higher 13.6% (10,396) 19.5% (915)

Education Levels Comparison: Bellflower vs Crystal springs

  • A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 2.0% in Crystal springs.
  • A higher percentage of residents in Bellflower hold a high school diploma at 15.5% compared to 12.1% in Crystal springs.
  • More residents in Bellflower have less than a high school education at 28.9% compared to 20.1% in Crystal springs.
  • In Crystal springs, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 13.6% in Bellflower.

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.