Demographics details for Christmas valley, OR vs Moberly, MO

Population Overview

Compare main population characteristics in Christmas valley, OR vs Moberly, MO.

Data Christmas valley Moberly
Population 1,313 13,774
Median Age 47.0 years 37.5 years
Median Income $46,900 $39,332
Married Families 64.0% 27.0%
Poverty Level 15% 13%
Unemployment Rate 6.5 4.2

Population Comparison: Christmas valley vs Moberly

  • The population in Moberly is higher at 13,774, compared to 1,313 in Christmas valley.
  • Residents in Christmas valley have a higher median age of 47.0 years compared to 37.5 years in Moberly.
  • Christmas valley has a higher median income of $46,900 compared to $39,332 in Moberly.
  • A higher percentage of married families is found in Christmas valley at 64.0% compared to 27.0% in Moberly.
  • Christmas valley has a higher poverty level at 15% compared to 13% in Moberly.
  • The unemployment rate in Christmas valley is higher at 6.5%, compared to 4.2% in Moberly.

Demographics

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

Demographic Christmas valley Moberly
Black 1 9
White 94 81
Asian 1 1
Hispanic 2 3
Two or More Races 2 6
American Indian Data is updating Data is updating

Demographics Comparison: Christmas valley vs Moberly

  • In Moberly, the percentage of Black residents is higher at 9% compared to 1% in Christmas valley.
  • Christmas valley has a higher percentage of White residents at 94% compared to 81% in Moberly.
  • Both Christmas valley and Moberly have the same percentage of Asian residents at 1%.
  • Moberly has a higher percentage of Hispanic residents at 3%, compared to 2% in Christmas valley.
  • The percentage of residents identifying as two or more races is higher in Moberly at 6%, compared to 2% in Christmas valley.
  • The percentage of American Indian residents is the same in both Christmas valley and Moberly at 0%.

Health Statistics

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

Health Metric Christmas valley Moberly
Mental Health Not Good Data is updating% 19.5%
Physical Health Not Good Data is updating% 14.9%
Depression Data is updating% 26.1%
Smoking Data is updating% 24.6%
Binge Drinking Data is updating% 16.6%
Obesity Data is updating% 44.1%
Disability Percentage Data is updating% 15.0%

Health Statistics Comparison: Christmas valley vs Moberly

  • In Moberly, a higher percentage report poor mental health at 19.5% compared to 0.0% in Christmas valley.
  • Higher depression rates are seen in Moberly at 26.1% versus 0.0% in Christmas valley.
  • Moberly has a higher smoking rate at 24.6% compared to 0.0% in Christmas valley.
  • More residents engage in binge drinking in Moberly at 16.6% compared to 0.0% in Christmas valley.
  • Moberly has higher obesity rates at 44.1% compared to 0.0% in Christmas valley.
  • There is a higher percentage of disabled individuals in Moberly at 15.0% 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 Christmas valley Moberly
No Schooling 0.0% (Data is updating) 1.0% (132)
High School Diploma 0.0% (Data is updating) 22.9% (3,149)
Less than High School 0.0% (Data is updating) 14.7% (2,021)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.0% (1,514)

Education Levels Comparison: Christmas valley vs Moberly

  • In Moberly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Christmas valley.
  • In Moberly, the rate of residents with high school diplomas is higher at 22.9% compared to 0.0% in Christmas valley.
  • The percentage of residents with less than a high school education is higher in Moberly at 14.7%, compared to 0.0% in Christmas valley.
  • In Moberly, a larger share of residents have a bachelor's degree or higher at 11.0% 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.