Demographics details for Norfolk, VA vs Christmas valley, OR

Population Overview

Compare main population characteristics in Norfolk, VA vs Christmas valley, OR.

Data Norfolk Christmas valley
Population 232,995 1,313
Median Age 32.2 years 47.0 years
Median Income $60,998 $46,900
Married Families 30.0% 64.0%
Poverty Level 11% 15%
Unemployment Rate 3.4 6.5

Population Comparison: Norfolk vs Christmas valley

  • In Norfolk, the population is higher at 232,995, compared to 1,313 in Christmas valley.
  • The median age in Christmas valley is higher at 47.0 years, compared to 32.2 years in Norfolk.
  • Norfolk has a higher median income of $60,998 compared to $46,900 in Christmas valley.
  • In Christmas valley, the percentage of married families is higher at 64.0%, compared to 30.0% in Norfolk.
  • The poverty level is higher in Christmas valley at 15%, compared to 11% in Norfolk.
  • Christmas valley has a higher unemployment rate at 6.5% compared to 3.4% in Norfolk.

Demographics

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

Demographic Norfolk Christmas valley
Black 41 1
White 39 94
Asian 4 1
Hispanic 9 2
Two or More Races 7 2
American Indian Data is updating Data is updating

Demographics Comparison: Norfolk vs Christmas valley

  • A higher percentage of Black residents are in Norfolk at 41% compared to 1% in Christmas valley.
  • The percentage of White residents is higher in Christmas valley at 94% compared to 39% in Norfolk.
  • The Asian population is larger in Norfolk at 4% compared to 1% in Christmas valley.
  • The Hispanic community is larger in Norfolk at 9% compared to 2% in Christmas valley.
  • More residents identify as two or more races in Norfolk at 7% compared to 2% in Christmas valley.
  • The percentage of American Indian residents is the same in both Norfolk and Christmas valley at 0%.

Health Statistics

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

Health Metric Norfolk Christmas valley
Mental Health Not Good 17.1% Data is updating%
Physical Health Not Good 12.1% Data is updating%
Depression 20.8% Data is updating%
Smoking 18.9% Data is updating%
Binge Drinking 17.5% Data is updating%
Obesity 42.9% Data is updating%
Disability Percentage 13.0% Data is updating%

Health Statistics Comparison: Norfolk vs Christmas valley

  • More residents in Norfolk report poor mental health at 17.1% compared to 0.0% in Christmas valley.
  • Depression is more prevalent in Norfolk at 20.8% compared to 0.0% in Christmas valley.
  • Smoking is more prevalent in Norfolk at 18.9% compared to 0.0% in Christmas valley.
  • Binge drinking is more common in Norfolk at 17.5% compared to 0.0% in Christmas valley.
  • Obesity rates are higher in Norfolk at 42.9% compared to 0.0% in Christmas valley.
  • Disability percentages are higher in Norfolk at 13.0% 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 Norfolk Christmas valley
No Schooling 1.0% (2,387) 0.0% (Data is updating)
High School Diploma 12.9% (30,020) 0.0% (Data is updating)
Less than High School 9.5% (22,233) 0.0% (Data is updating)
Bachelor's Degree and Higher 21.0% (48,995) 0.0% (Data is updating)

Education Levels Comparison: Norfolk vs Christmas valley

  • A higher percentage of residents in Norfolk have no formal schooling at 1.0% compared to 0.0% in Christmas valley.
  • A higher percentage of residents in Norfolk hold a high school diploma at 12.9% compared to 0.0% in Christmas valley.
  • More residents in Norfolk have less than a high school education at 9.5% compared to 0.0% in Christmas valley.
  • A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 21.0% 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.