Demographics details for Keizer, OR vs Higginsville, MO
Population Overview
Compare main population characteristics in Keizer, OR vs Higginsville, MO.
Data | Keizer | Higginsville |
---|---|---|
Population | 38,704 | 4,755 |
Median Age | 35.8 years | 40.3 years |
Median Income | $75,753 | $76,731 |
Married Families | 38.0% | 36.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 3.6 | 3.4 |
Population Comparison: Keizer vs Higginsville
- In Keizer, the population is higher at 38,704, compared to 4,755 in Higginsville.
- The median age in Higginsville is higher at 40.3 years, compared to 35.8 years in Keizer.
- Higginsville has a higher median income of $76,731, compared to $75,753 in Keizer.
- A higher percentage of married families is found in Keizer at 38.0% compared to 36.0% in Higginsville.
- Keizer has a higher poverty level at 10% compared to 8% in Higginsville.
- The unemployment rate in Keizer is higher at 3.6%, compared to 3.4% in Higginsville.
Demographics
Demographics Keizer vs Higginsville provide insight into the diversity of the communities to compare.
Demographic | Keizer | Higginsville |
---|---|---|
Black | 1 | 8 |
White | 58 | 86 |
Asian | 1 | Data is updating |
Hispanic | 25 | 3 |
Two or More Races | 14 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Keizer vs Higginsville
- In Higginsville, the percentage of Black residents is higher at 8% compared to 1% in Keizer.
- The percentage of White residents is higher in Higginsville at 86% compared to 58% in Keizer.
- The Asian population is larger in Keizer at 1% compared to 0% in Higginsville.
- The Hispanic community is larger in Keizer at 25% compared to 3% in Higginsville.
- More residents identify as two or more races in Keizer at 14% compared to 3% in Higginsville.
- A greater percentage of American Indian residents live in Keizer at 1% compared to 0% in Higginsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keizer | Higginsville |
---|---|---|
Mental Health Not Good | 17.9% | 17.2% |
Physical Health Not Good | 11.4% | 12.2% |
Depression | 28.5% | 23.9% |
Smoking | 15.4% | 20.8% |
Binge Drinking | 16.5% | 19.4% |
Obesity | 35.7% | 40.6% |
Disability Percentage | 16.0% | 24.0% |
Health Statistics Comparison: Keizer vs Higginsville
- More residents in Keizer report poor mental health at 17.9% compared to 17.2% in Higginsville.
- Depression is more prevalent in Keizer at 28.5% compared to 23.9% in Higginsville.
- Higginsville has a higher smoking rate at 20.8% compared to 15.4% in Keizer.
- More residents engage in binge drinking in Higginsville at 19.4% compared to 16.5% in Keizer.
- Higginsville has higher obesity rates at 40.6% compared to 35.7% in Keizer.
- There is a higher percentage of disabled individuals in Higginsville at 24.0% compared to 16.0% in Keizer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Keizer | Higginsville |
---|---|---|
No Schooling | 1.8% (685) | 2.3% (109) |
High School Diploma | 12.7% (4,898) | 26.1% (1,241) |
Less than High School | 13.9% (5,363) | 15.3% (729) |
Bachelor's Degree and Higher | 17.1% (6,617) | 20.8% (991) |
Education Levels Comparison: Keizer vs Higginsville
- In Higginsville, a larger percentage of residents lack formal schooling at 2.3% compared to 1.8% in Keizer.
- In Higginsville, the rate of residents with high school diplomas is higher at 26.1% compared to 12.7% in Keizer.
- The percentage of residents with less than a high school education is higher in Higginsville at 15.3%, compared to 13.9% in Keizer.
- In Higginsville, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 17.1% in Keizer.
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.