Demographics details for Marshall, TX vs Christmas valley, OR

Population Overview

Compare main population characteristics in Marshall, TX vs Christmas valley, OR.

Data Marshall Christmas valley
Population 23,641 1,313
Median Age 34.1 years 47.0 years
Median Income $49,162 $46,900
Married Families 27.0% 64.0%
Poverty Level 17% 15%
Unemployment Rate 5.1 6.5

Population Comparison: Marshall vs Christmas valley

  • In Marshall, the population is higher at 23,641, compared to 1,313 in Christmas valley.
  • The median age in Christmas valley is higher at 47.0 years, compared to 34.1 years in Marshall.
  • Marshall has a higher median income of $49,162 compared to $46,900 in Christmas valley.
  • In Christmas valley, the percentage of married families is higher at 64.0%, compared to 27.0% in Marshall.
  • Marshall has a higher poverty level at 17% compared to 15% in Christmas valley.
  • Christmas valley has a higher unemployment rate at 6.5% compared to 5.1% in Marshall.

Demographics

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

Demographic Marshall Christmas valley
Black 40 1
White 28 94
Asian 1 1
Hispanic 20 2
Two or More Races 11 2
American Indian Data is updating Data is updating

Demographics Comparison: Marshall vs Christmas valley

  • A higher percentage of Black residents are in Marshall at 40% compared to 1% in Christmas valley.
  • The percentage of White residents is higher in Christmas valley at 94% compared to 28% in Marshall.
  • Both Marshall and Christmas valley have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Marshall at 20% compared to 2% in Christmas valley.
  • More residents identify as two or more races in Marshall at 11% compared to 2% in Christmas valley.
  • The percentage of American Indian residents is the same in both Marshall and Christmas valley at 0%.

Health Statistics

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

Health Metric Marshall Christmas valley
Mental Health Not Good 19.2% Data is updating%
Physical Health Not Good 13.8% Data is updating%
Depression 22.7% Data is updating%
Smoking 21.0% Data is updating%
Binge Drinking 16.2% Data is updating%
Obesity 42.0% Data is updating%
Disability Percentage 17.0% Data is updating%

Health Statistics Comparison: Marshall vs Christmas valley

  • More residents in Marshall report poor mental health at 19.2% compared to 0.0% in Christmas valley.
  • Depression is more prevalent in Marshall at 22.7% compared to 0.0% in Christmas valley.
  • Smoking is more prevalent in Marshall at 21.0% compared to 0.0% in Christmas valley.
  • Binge drinking is more common in Marshall at 16.2% compared to 0.0% in Christmas valley.
  • Obesity rates are higher in Marshall at 42.0% compared to 0.0% in Christmas valley.
  • Disability percentages are higher in Marshall at 17.0% compared to 0.0% in Christmas valley.

Education Levels

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

Education Level Marshall Christmas valley
No Schooling 0.8% (195) 0.0% (Data is updating)
High School Diploma 18.7% (4,412) 0.0% (Data is updating)
Less than High School 10.7% (2,527) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.2% (3,127) 0.0% (Data is updating)

Education Levels Comparison: Marshall vs Christmas valley

  • A higher percentage of residents in Marshall have no formal schooling at 0.8% compared to 0.0% in Christmas valley.
  • A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 0.0% in Christmas valley.
  • More residents in Marshall have less than a high school education at 10.7% compared to 0.0% in Christmas valley.
  • A higher percentage of residents in Marshall hold a bachelor's degree or higher at 13.2% compared to 0.0% in Christmas 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.