Demographics details for Antioch, CA vs Pond eddy, NY
Population Overview
Compare main population characteristics in Antioch, CA vs Pond eddy, NY.
Data | Antioch | Pond eddy |
---|---|---|
Population | 115,264 | 389 |
Median Age | 37.2 years | 45.0 years |
Median Income | $90,709 | $55,000 |
Married Families | 36.0% | 65.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 6.0 | 4.0 |
Population Comparison: Antioch vs Pond eddy
- In Antioch, the population is higher at 115,264, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 37.2 years in Antioch.
- Antioch has a higher median income of $90,709 compared to $55,000 in Pond eddy.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 36.0% in Antioch.
- Antioch has a higher poverty level at 12% compared to 10% in Pond eddy.
- The unemployment rate in Antioch is higher at 6.0%, compared to 4.0% in Pond eddy.
Demographics
Demographics Antioch vs Pond eddy provide insight into the diversity of the communities to compare.
Demographic | Antioch | Pond eddy |
---|---|---|
Black | 19 | 2 |
White | 18 | 95 |
Asian | 14 | 1 |
Hispanic | 35 | 2 |
Two or More Races | 13 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Antioch vs Pond eddy
- A higher percentage of Black residents are in Antioch at 19% compared to 2% in Pond eddy.
- The percentage of White residents is higher in Pond eddy at 95% compared to 18% in Antioch.
- The Asian population is larger in Antioch at 14% compared to 1% in Pond eddy.
- The Hispanic community is larger in Antioch at 35% compared to 2% in Pond eddy.
- More residents identify as two or more races in Antioch at 13% compared to 0% in Pond eddy.
- A greater percentage of American Indian residents live in Antioch at 1% compared to 0% in Pond eddy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Antioch | Pond eddy |
---|---|---|
Mental Health Not Good | 16.5% | Data is updating% |
Physical Health Not Good | 11.9% | Data is updating% |
Depression | 18.2% | Data is updating% |
Smoking | 13.3% | Data is updating% |
Binge Drinking | 15.8% | Data is updating% |
Obesity | 28.9% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Antioch vs Pond eddy
- More residents in Antioch report poor mental health at 16.5% compared to 0.0% in Pond eddy.
- Depression is more prevalent in Antioch at 18.2% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in Antioch at 13.3% compared to 0.0% in Pond eddy.
- Binge drinking is more common in Antioch at 15.8% compared to 0.0% in Pond eddy.
- Obesity rates are higher in Antioch at 28.9% compared to 0.0% in Pond eddy.
- Disability percentages are higher in Antioch at 15.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Antioch | Pond eddy |
---|---|---|
No Schooling | 2.0% (2,297) | 0.0% (Data is updating) |
High School Diploma | 15.3% (17,651) | 0.0% (Data is updating) |
Less than High School | 16.5% (18,983) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 15.4% (17,721) | 0.0% (Data is updating) |
Education Levels Comparison: Antioch vs Pond eddy
- A higher percentage of residents in Antioch have no formal schooling at 2.0% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Antioch hold a high school diploma at 15.3% compared to 0.0% in Pond eddy.
- More residents in Antioch have less than a high school education at 16.5% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Antioch hold a bachelor's degree or higher at 15.4% compared to 0.0% in Pond eddy.
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.