Demographics details for Marshall, CA vs Humble, TX

Population Overview

Compare main population characteristics in Marshall, CA vs Humble, TX.

Data Marshall Humble
Population 533 16,336
Median Age 42.0 years 33.5 years
Median Income $90,000 $58,581
Married Families 60.0% 31.0%
Poverty Level 5% 16%
Unemployment Rate 3.0 6.2

Population Comparison: Marshall vs Humble

  • The population in Humble is higher at 16,336, compared to 533 in Marshall.
  • Residents in Marshall have a higher median age of 42.0 years compared to 33.5 years in Humble.
  • Marshall has a higher median income of $90,000 compared to $58,581 in Humble.
  • A higher percentage of married families is found in Marshall at 60.0% compared to 31.0% in Humble.
  • The poverty level is higher in Humble at 16%, compared to 5% in Marshall.
  • Humble has a higher unemployment rate at 6.2% compared to 3.0% in Marshall.

Demographics

Demographics Marshall vs Humble provide insight into the diversity of the communities to compare.

Demographic Marshall Humble
Black Data is updating 26
White 90 5
Asian 2 1
Hispanic 5 50
Two or More Races 3 18
American Indian Data is updating Data is updating

Demographics Comparison: Marshall vs Humble

  • In Humble, the percentage of Black residents is higher at 26% compared to 0% in Marshall.
  • Marshall has a higher percentage of White residents at 90% compared to 5% in Humble.
  • The Asian population is larger in Marshall at 2% compared to 1% in Humble.
  • Humble has a higher percentage of Hispanic residents at 50%, compared to 5% in Marshall.
  • The percentage of residents identifying as two or more races is higher in Humble at 18%, compared to 3% in Marshall.
  • The percentage of American Indian residents is the same in both Marshall and Humble at 0%.

Health Statistics

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

Health Metric Marshall Humble
Mental Health Not Good Data is updating% 17.4%
Physical Health Not Good Data is updating% 12.4%
Depression Data is updating% 21.0%
Smoking Data is updating% 18.1%
Binge Drinking Data is updating% 18.1%
Obesity Data is updating% 38.5%
Disability Percentage Data is updating% 12.0%

Health Statistics Comparison: Marshall vs Humble

  • In Humble, a higher percentage report poor mental health at 17.4% compared to 0.0% in Marshall.
  • Higher depression rates are seen in Humble at 21.0% versus 0.0% in Marshall.
  • Humble has a higher smoking rate at 18.1% compared to 0.0% in Marshall.
  • More residents engage in binge drinking in Humble at 18.1% compared to 0.0% in Marshall.
  • Humble has higher obesity rates at 38.5% compared to 0.0% in Marshall.
  • There is a higher percentage of disabled individuals in Humble at 12.0% compared to 0.0% in Marshall.

Education Levels

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

Education Level Marshall Humble
No Schooling 0.0% (Data is updating) 2.1% (346)
High School Diploma 0.0% (Data is updating) 20.3% (3,321)
Less than High School 0.0% (Data is updating) 16.9% (2,756)
Bachelor's Degree and Higher 0.0% (Data is updating) 8.8% (1,435)

Education Levels Comparison: Marshall vs Humble

  • In Humble, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Marshall.
  • In Humble, the rate of residents with high school diplomas is higher at 20.3% compared to 0.0% in Marshall.
  • The percentage of residents with less than a high school education is higher in Humble at 16.9%, compared to 0.0% in Marshall.
  • In Humble, a larger share of residents have a bachelor's degree or higher at 8.8% compared to 0.0% in Marshall.

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.