Demographics details for Columbia, SC vs White plains, NY
Population Overview
Compare main population characteristics in Columbia, SC vs White plains, NY.
| Data | Columbia | White plains |
|---|---|---|
| Population | 139,698 | 59,316 |
| Median Age | 28.3 years | 41.4 years |
| Median Income | $54,095 | $109,551 |
| Married Families | 25.0% | 40.0% |
| Poverty Level | 17% | 6% |
| Unemployment Rate | 5.8 | 3.2 |
Population Comparison: Columbia vs White plains
- In Columbia, the population is higher at 139,698, compared to 59,316 in White plains.
- The median age in White plains is higher at 41.4 years, compared to 28.3 years in Columbia.
- White plains has a higher median income of $109,551, compared to $54,095 in Columbia.
- In White plains, the percentage of married families is higher at 40.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 6% in White plains.
- The unemployment rate in Columbia is higher at 5.8%, compared to 3.2% in White plains.
Demographics
Demographics Columbia vs White plains provide insight into the diversity of the communities to compare.
| Demographic | Columbia | White plains |
|---|---|---|
| Black | 40 | 13 |
| White | 48 | 39 |
| Asian | 2 | 8 |
| Hispanic | 5 | 31 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs White plains
- A higher percentage of Black residents are in Columbia at 40% compared to 13% in White plains.
- Columbia has a higher percentage of White residents at 48% compared to 39% in White plains.
- In White plains, the Asian population stands at 8%, greater than 2% in Columbia.
- White plains has a higher percentage of Hispanic residents at 31%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in White plains at 9%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and White plains at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | White plains |
|---|---|---|
| Mental Health Not Good | 18.6% | 13.1% |
| Physical Health Not Good | 13.1% | 9.1% |
| Depression | 20.8% | 17.7% |
| Smoking | 19.1% | 11.7% |
| Binge Drinking | 18.1% | 15.9% |
| Obesity | 39.0% | 28.4% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Columbia vs White plains
- More residents in Columbia report poor mental health at 18.6% compared to 13.1% in White plains.
- Depression is more prevalent in Columbia at 20.8% compared to 17.7% in White plains.
- Smoking is more prevalent in Columbia at 19.1% compared to 11.7% in White plains.
- Binge drinking is more common in Columbia at 18.1% compared to 15.9% in White plains.
- Obesity rates are higher in Columbia at 39.0% compared to 28.4% in White plains.
- Disability percentages are higher in Columbia at 11.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | White plains |
|---|---|---|
| No Schooling | 0.4% (555) | 1.0% (566) |
| High School Diploma | 8.4% (11,712) | 11.6% (6,853) |
| Less than High School | 5.9% (8,257) | 14.7% (8,744) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 39.0% (23,145) |
Education Levels Comparison: Columbia vs White plains
- In White plains, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Columbia.
- In White plains, the rate of residents with high school diplomas is higher at 11.6% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in White plains at 14.7%, compared to 5.9% in Columbia.
- In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% compared to 24.7% in Columbia.
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.