Demographics details for Keizer, OR vs Sugar grove, NC
Population Overview
Compare main population characteristics in Keizer, OR vs Sugar grove, NC.
Data | Keizer | Sugar grove |
---|---|---|
Population | 38,704 | 100 |
Median Age | 35.8 years | 38.0 years |
Median Income | $75,753 | $50,000 |
Married Families | 38.0% | 60.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Keizer vs Sugar grove
- In Keizer, the population is higher at 38,704, compared to 100 in Sugar grove.
- The median age in Sugar grove is higher at 38.0 years, compared to 35.8 years in Keizer.
- Keizer has a higher median income of $75,753 compared to $50,000 in Sugar grove.
- In Sugar grove, the percentage of married families is higher at 60.0%, compared to 38.0% in Keizer.
- The poverty level is identical in both Keizer and Sugar grove at 10%.
- Sugar grove has a higher unemployment rate at 4.5% compared to 3.6% in Keizer.
Demographics
Demographics Keizer vs Sugar grove provide insight into the diversity of the communities to compare.
Demographic | Keizer | Sugar grove |
---|---|---|
Black | 1 | Data is updating |
White | 58 | 100 |
Asian | 1 | Data is updating |
Hispanic | 25 | Data is updating |
Two or More Races | 14 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Keizer vs Sugar grove
- A higher percentage of Black residents are in Keizer at 1% compared to 0% in Sugar grove.
- The percentage of White residents is higher in Sugar grove at 100% compared to 58% in Keizer.
- The Asian population is larger in Keizer at 1% compared to 0% in Sugar grove.
- The Hispanic community is larger in Keizer at 25% compared to 0% in Sugar grove.
- More residents identify as two or more races in Keizer at 14% compared to 0% in Sugar grove.
- A greater percentage of American Indian residents live in Keizer at 1% compared to 0% in Sugar grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keizer | Sugar grove |
---|---|---|
Mental Health Not Good | 17.9% | Data is updating% |
Physical Health Not Good | 11.4% | Data is updating% |
Depression | 28.5% | Data is updating% |
Smoking | 15.4% | Data is updating% |
Binge Drinking | 16.5% | Data is updating% |
Obesity | 35.7% | Data is updating% |
Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Keizer vs Sugar grove
- More residents in Keizer report poor mental health at 17.9% compared to 0.0% in Sugar grove.
- Depression is more prevalent in Keizer at 28.5% compared to 0.0% in Sugar grove.
- Smoking is more prevalent in Keizer at 15.4% compared to 0.0% in Sugar grove.
- Binge drinking is more common in Keizer at 16.5% compared to 0.0% in Sugar grove.
- Obesity rates are higher in Keizer at 35.7% compared to 0.0% in Sugar grove.
- Disability percentages are higher in Keizer at 16.0% compared to 0.0% in Sugar grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Keizer | Sugar grove |
---|---|---|
No Schooling | 1.8% (685) | 0.0% (Data is updating) |
High School Diploma | 12.7% (4,898) | 0.0% (Data is updating) |
Less than High School | 13.9% (5,363) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 17.1% (6,617) | 0.0% (Data is updating) |
Education Levels Comparison: Keizer vs Sugar grove
- A higher percentage of residents in Keizer have no formal schooling at 1.8% compared to 0.0% in Sugar grove.
- A higher percentage of residents in Keizer hold a high school diploma at 12.7% compared to 0.0% in Sugar grove.
- More residents in Keizer have less than a high school education at 13.9% compared to 0.0% in Sugar grove.
- A higher percentage of residents in Keizer hold a bachelor's degree or higher at 17.1% compared to 0.0% in Sugar grove.
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.