Demographics details for Newberg, OR vs Christiansburg, OH
Population Overview
Compare main population characteristics in Newberg, OR vs Christiansburg, OH.
Data | Newberg | Christiansburg |
---|---|---|
Population | 25,777 | 501 |
Median Age | 34.2 years | 34.5 years |
Median Income | $87,873 | $72,375 |
Married Families | 40.0% | 38.0% |
Poverty Level | 6% | 8% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Newberg vs Christiansburg
- In Newberg, the population is higher at 25,777, compared to 501 in Christiansburg.
- The median age in Christiansburg is higher at 34.5 years, compared to 34.2 years in Newberg.
- Newberg has a higher median income of $87,873 compared to $72,375 in Christiansburg.
- A higher percentage of married families is found in Newberg at 40.0% compared to 38.0% in Christiansburg.
- The poverty level is higher in Christiansburg at 8%, compared to 6% in Newberg.
- Christiansburg has a higher unemployment rate at 4.5% compared to 3.5% in Newberg.
Demographics
Demographics Newberg vs Christiansburg provide insight into the diversity of the communities to compare.
Demographic | Newberg | Christiansburg |
---|---|---|
Black | 1 | 1 |
White | 69 | 95 |
Asian | 2 | Data is updating |
Hispanic | 16 | Data is updating |
Two or More Races | 11 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Newberg vs Christiansburg
- The percentage of Black residents is the same in both Newberg and Christiansburg at 1%.
- The percentage of White residents is higher in Christiansburg at 95% compared to 69% in Newberg.
- The Asian population is larger in Newberg at 2% compared to 0% in Christiansburg.
- The Hispanic community is larger in Newberg at 16% compared to 0% in Christiansburg.
- More residents identify as two or more races in Newberg at 11% compared to 4% in Christiansburg.
- A greater percentage of American Indian residents live in Newberg at 1% compared to 0% in Christiansburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Newberg | Christiansburg |
---|---|---|
Mental Health Not Good | 17.8% | 17.6% |
Physical Health Not Good | 10.9% | 11.7% |
Depression | 27.2% | 24.5% |
Smoking | 14.5% | 21.0% |
Binge Drinking | 17.9% | 18.8% |
Obesity | 34.0% | 39.9% |
Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Newberg vs Christiansburg
- More residents in Newberg report poor mental health at 17.8% compared to 17.6% in Christiansburg.
- Depression is more prevalent in Newberg at 27.2% compared to 24.5% in Christiansburg.
- Christiansburg has a higher smoking rate at 21.0% compared to 14.5% in Newberg.
- More residents engage in binge drinking in Christiansburg at 18.8% compared to 17.9% in Newberg.
- Christiansburg has higher obesity rates at 39.9% compared to 34.0% in Newberg.
- There is a higher percentage of disabled individuals in Christiansburg at 18.0% compared to 11.0% in Newberg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Newberg | Christiansburg |
---|---|---|
No Schooling | 1.1% (277) | 0.4% (2) |
High School Diploma | 10.4% (2,693) | 29.7% (149) |
Less than High School | 9.3% (2,390) | 11.6% (58) |
Bachelor's Degree and Higher | 24.3% (6,254) | 7.8% (39) |
Education Levels Comparison: Newberg vs Christiansburg
- A higher percentage of residents in Newberg have no formal schooling at 1.1% compared to 0.4% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 29.7% compared to 10.4% in Newberg.
- The percentage of residents with less than a high school education is higher in Christiansburg at 11.6%, compared to 9.3% in Newberg.
- A higher percentage of residents in Newberg hold a bachelor's degree or higher at 24.3% compared to 7.8% in Christiansburg.
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.