Demographics details for Dike, TX vs South gate, CA
Population Overview
Compare main population characteristics in Dike, TX vs South gate, CA.
Data | Dike | South gate |
---|---|---|
Population | 103 | 90,926 |
Median Age | 44.0 years | 33.7 years |
Median Income | $50,000 | $67,188 |
Married Families | 20.0% | 34.0% |
Poverty Level | 15% | 18% |
Unemployment Rate | 4.0 | 6.1 |
Population Comparison: Dike vs South gate
- The population in South gate is higher at 90,926, compared to 103 in Dike.
- Residents in Dike have a higher median age of 44.0 years compared to 33.7 years in South gate.
- South gate has a higher median income of $67,188, compared to $50,000 in Dike.
- In South gate, the percentage of married families is higher at 34.0%, compared to 20.0% in Dike.
- The poverty level is higher in South gate at 18%, compared to 15% in Dike.
- South gate has a higher unemployment rate at 6.1% compared to 4.0% in Dike.
Demographics
Demographics Dike vs South gate provide insight into the diversity of the communities to compare.
Demographic | Dike | South gate |
---|---|---|
Black | Data is updating | 1 |
White | 100 | -21 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 97 |
Two or More Races | Data is updating | 21 |
American Indian | Data is updating | 1 |
Demographics Comparison: Dike vs South gate
- In South gate, the percentage of Black residents is higher at 1% compared to 0% in Dike.
- Dike has a higher percentage of White residents at 100% compared to -21% in South gate.
- In South gate, the Asian population stands at 1%, greater than 0% in Dike.
- South gate has a higher percentage of Hispanic residents at 97%, compared to 0% in Dike.
- The percentage of residents identifying as two or more races is higher in South gate at 21%, compared to 0% in Dike.
- In South gate, the percentage of American Indian residents is higher at 1%, compared to 0% in Dike.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dike | South gate |
---|---|---|
Mental Health Not Good | Data is updating% | 16.8% |
Physical Health Not Good | Data is updating% | 14.9% |
Depression | Data is updating% | 16.3% |
Smoking | Data is updating% | 12.7% |
Binge Drinking | Data is updating% | 14.5% |
Obesity | Data is updating% | 34.1% |
Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Dike vs South gate
- In South gate, a higher percentage report poor mental health at 16.8% compared to 0.0% in Dike.
- Higher depression rates are seen in South gate at 16.3% versus 0.0% in Dike.
- South gate has a higher smoking rate at 12.7% compared to 0.0% in Dike.
- More residents engage in binge drinking in South gate at 14.5% compared to 0.0% in Dike.
- South gate has higher obesity rates at 34.1% compared to 0.0% in Dike.
- There is a higher percentage of disabled individuals in South gate at 9.0% compared to 0.0% in Dike.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dike | South gate |
---|---|---|
No Schooling | 0.0% (Data is updating) | 4.6% (4,160) |
High School Diploma | 0.0% (Data is updating) | 14.9% (13,536) |
Less than High School | 0.0% (Data is updating) | 53.3% (48,481) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.5% (6,822) |
Education Levels Comparison: Dike vs South gate
- In South gate, a larger percentage of residents lack formal schooling at 4.6% compared to 0.0% in Dike.
- In South gate, the rate of residents with high school diplomas is higher at 14.9% compared to 0.0% in Dike.
- The percentage of residents with less than a high school education is higher in South gate at 53.3%, compared to 0.0% in Dike.
- In South gate, a larger share of residents have a bachelor's degree or higher at 7.5% compared to 0.0% in Dike.
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.