Demographics details for Chapman, KS vs Christmas valley, OR

Population Overview

Compare main population characteristics in Chapman, KS vs Christmas valley, OR.

Data Chapman Christmas valley
Population 1,371 1,313
Median Age 41.4 years 47.0 years
Median Income $66,964 $46,900
Married Families 33.0% 64.0%
Poverty Level 8% 15%
Unemployment Rate 3.1 6.5

Population Comparison: Chapman vs Christmas valley

  • In Chapman, the population is higher at 1,371, compared to 1,313 in Christmas valley.
  • The median age in Christmas valley is higher at 47.0 years, compared to 41.4 years in Chapman.
  • Chapman has a higher median income of $66,964 compared to $46,900 in Christmas valley.
  • In Christmas valley, the percentage of married families is higher at 64.0%, compared to 33.0% in Chapman.
  • The poverty level is higher in Christmas valley at 15%, compared to 8% in Chapman.
  • Christmas valley has a higher unemployment rate at 6.5% compared to 3.1% in Chapman.

Demographics

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

Demographic Chapman Christmas valley
Black Data is updating 1
White 81 94
Asian 3 1
Hispanic 7 2
Two or More Races 7 2
American Indian 2 Data is updating

Demographics Comparison: Chapman vs Christmas valley

  • In Christmas valley, the percentage of Black residents is higher at 1% compared to 0% in Chapman.
  • The percentage of White residents is higher in Christmas valley at 94% compared to 81% in Chapman.
  • The Asian population is larger in Chapman at 3% compared to 1% in Christmas valley.
  • The Hispanic community is larger in Chapman at 7% compared to 2% in Christmas valley.
  • More residents identify as two or more races in Chapman at 7% compared to 2% in Christmas valley.
  • A greater percentage of American Indian residents live in Chapman at 2% compared to 0% in Christmas valley.

Health Statistics

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

Health Metric Chapman Christmas valley
Mental Health Not Good 15.7% Data is updating%
Physical Health Not Good 9.5% Data is updating%
Depression 21.4% Data is updating%
Smoking 16.6% Data is updating%
Binge Drinking 20.2% Data is updating%
Obesity 37.3% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Chapman vs Christmas valley

  • More residents in Chapman report poor mental health at 15.7% compared to 0.0% in Christmas valley.
  • Depression is more prevalent in Chapman at 21.4% compared to 0.0% in Christmas valley.
  • Smoking is more prevalent in Chapman at 16.6% compared to 0.0% in Christmas valley.
  • Binge drinking is more common in Chapman at 20.2% compared to 0.0% in Christmas valley.
  • Obesity rates are higher in Chapman at 37.3% compared to 0.0% in Christmas valley.
  • Disability percentages are higher in Chapman at 14.0% 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 Chapman Christmas valley
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 12.3% (168) 0.0% (Data is updating)
Less than High School 5.1% (70) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.5% (212) 0.0% (Data is updating)

Education Levels Comparison: Chapman vs Christmas valley

  • The percentage of residents with no formal schooling is the same in both Chapman and Christmas valley at 0.0%.
  • A higher percentage of residents in Chapman hold a high school diploma at 12.3% compared to 0.0% in Christmas valley.
  • More residents in Chapman have less than a high school education at 5.1% compared to 0.0% in Christmas valley.
  • A higher percentage of residents in Chapman hold a bachelor's degree or higher at 15.5% 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.