Demographics details for Columbia, MO vs Sayreville, NJ
Population Overview
Compare main population characteristics in Columbia, MO vs Sayreville, NJ.
| Data | Columbia | Sayreville |
|---|---|---|
| Population | 128,555 | 45,123 |
| Median Age | 28.8 years | 39.1 years |
| Median Income | $60,455 | $95,250 |
| Married Families | 32.0% | 43.0% |
| Poverty Level | 19% | 7% |
| Unemployment Rate | 3.8 | 4.1 |
Population Comparison: Columbia vs Sayreville
- In Columbia, the population is higher at 128,555, compared to 45,123 in Sayreville.
- The median age in Sayreville is higher at 39.1 years, compared to 28.8 years in Columbia.
- Sayreville has a higher median income of $95,250, compared to $60,455 in Columbia.
- In Sayreville, the percentage of married families is higher at 43.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 7% in Sayreville.
- Sayreville has a higher unemployment rate at 4.1% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Sayreville provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Sayreville |
|---|---|---|
| Black | 11 | 13 |
| White | 73 | 41 |
| Asian | 6 | 17 |
| Hispanic | 4 | 20 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Sayreville
- In Sayreville, the percentage of Black residents is higher at 13% compared to 11% in Columbia.
- Columbia has a higher percentage of White residents at 73% compared to 41% in Sayreville.
- In Sayreville, the Asian population stands at 17%, greater than 6% in Columbia.
- Sayreville has a higher percentage of Hispanic residents at 20%, compared to 4% in Columbia.
- The percentage of residents identifying as two or more races is higher in Sayreville at 9%, compared to 6% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Sayreville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Sayreville |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.9% |
| Physical Health Not Good | 11.4% | 9.4% |
| Depression | 25.3% | 19.4% |
| Smoking | 16.3% | 12.8% |
| Binge Drinking | 17.7% | 14.8% |
| Obesity | 33.5% | 29.7% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Columbia vs Sayreville
- More residents in Columbia report poor mental health at 16.7% compared to 14.9% in Sayreville.
- Depression is more prevalent in Columbia at 25.3% compared to 19.4% in Sayreville.
- Smoking is more prevalent in Columbia at 16.3% compared to 12.8% in Sayreville.
- Binge drinking is more common in Columbia at 17.7% compared to 14.8% in Sayreville.
- Obesity rates are higher in Columbia at 33.5% compared to 29.7% in Sayreville.
- Disability percentages are higher in Columbia at 11.0% compared to 9.0% in Sayreville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Sayreville |
|---|---|---|
| No Schooling | 0.7% (845) | 0.7% (311) |
| High School Diploma | 7.8% (9,965) | 18.0% (8,105) |
| Less than High School | 4.2% (5,383) | 9.7% (4,385) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 27.3% (12,297) |
Education Levels Comparison: Columbia vs Sayreville
- The percentage of residents with no formal schooling is the same in both Columbia and Sayreville at 0.7%.
- In Sayreville, the rate of residents with high school diplomas is higher at 18.0% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Sayreville at 9.7%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 27.3% in Sayreville.
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.