Demographics details for South gate, CA vs White plains, NY
Population Overview
Compare main population characteristics in South gate, CA vs White plains, NY.
Data | South gate | White plains |
---|---|---|
Population | 90,926 | 59,316 |
Median Age | 33.7 years | 41.4 years |
Median Income | $67,188 | $109,551 |
Married Families | 34.0% | 40.0% |
Poverty Level | 18% | 6% |
Unemployment Rate | 6.1 | 3.2 |
Population Comparison: South gate vs White plains
- In South gate, the population is higher at 90,926, compared to 59,316 in White plains.
- The median age in White plains is higher at 41.4 years, compared to 33.7 years in South gate.
- White plains has a higher median income of $109,551, compared to $67,188 in South gate.
- In White plains, the percentage of married families is higher at 40.0%, compared to 34.0% in South gate.
- South gate has a higher poverty level at 18% compared to 6% in White plains.
- The unemployment rate in South gate is higher at 6.1%, compared to 3.2% in White plains.
Demographics
Demographics South gate vs White plains provide insight into the diversity of the communities to compare.
Demographic | South gate | White plains |
---|---|---|
Black | 1 | 13 |
White | -21 | 39 |
Asian | 1 | 8 |
Hispanic | 97 | 31 |
Two or More Races | 21 | 9 |
American Indian | 1 | Data is updating |
Demographics Comparison: South gate vs White plains
- In White plains, the percentage of Black residents is higher at 13% compared to 1% in South gate.
- The percentage of White residents is higher in White plains at 39% compared to -21% in South gate.
- In White plains, the Asian population stands at 8%, greater than 1% in South gate.
- The Hispanic community is larger in South gate at 97% compared to 31% in White plains.
- More residents identify as two or more races in South gate at 21% compared to 9% in White plains.
- A greater percentage of American Indian residents live in South gate at 1% compared to 0% in White plains.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South gate | White plains |
---|---|---|
Mental Health Not Good | 16.8% | 13.1% |
Physical Health Not Good | 14.9% | 9.1% |
Depression | 16.3% | 17.7% |
Smoking | 12.7% | 11.7% |
Binge Drinking | 14.5% | 15.9% |
Obesity | 34.1% | 28.4% |
Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: South gate vs White plains
- More residents in South gate report poor mental health at 16.8% compared to 13.1% in White plains.
- Higher depression rates are seen in White plains at 17.7% versus 16.3% in South gate.
- Smoking is more prevalent in South gate at 12.7% compared to 11.7% in White plains.
- More residents engage in binge drinking in White plains at 15.9% compared to 14.5% in South gate.
- Obesity rates are higher in South gate at 34.1% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in White plains at 10.0% compared to 9.0% in South gate.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South gate | White plains |
---|---|---|
No Schooling | 4.6% (4,160) | 1.0% (566) |
High School Diploma | 14.9% (13,536) | 11.6% (6,853) |
Less than High School | 53.3% (48,481) | 14.7% (8,744) |
Bachelor's Degree and Higher | 7.5% (6,822) | 39.0% (23,145) |
Education Levels Comparison: South gate vs White plains
- A higher percentage of residents in South gate have no formal schooling at 4.6% compared to 1.0% in White plains.
- A higher percentage of residents in South gate hold a high school diploma at 14.9% compared to 11.6% in White plains.
- More residents in South gate have less than a high school education at 53.3% compared to 14.7% in White plains.
- In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% compared to 7.5% in South gate.
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.