Demographics details for Fishing creek, MD vs Tustin, CA
Population Overview
Compare main population characteristics in Fishing creek, MD vs Tustin, CA.
Data | Fishing creek | Tustin |
---|---|---|
Population | 235 | 78,418 |
Median Age | 55.9 years | 36.2 years |
Median Income | $76,250 | $102,065 |
Married Families | 58.0% | 40.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Fishing creek vs Tustin
- The population in Tustin is higher at 78,418, compared to 235 in Fishing creek.
- Residents in Fishing creek have a higher median age of 55.9 years compared to 36.2 years in Tustin.
- Tustin has a higher median income of $102,065, compared to $76,250 in Fishing creek.
- A higher percentage of married families is found in Fishing creek at 58.0% compared to 40.0% in Tustin.
- The poverty level is higher in Tustin at 8%, compared to 0% in Fishing creek.
- Tustin has a higher unemployment rate at 4.0% compared to 3.5% in Fishing creek.
Demographics
Demographics Fishing creek vs Tustin provide insight into the diversity of the communities to compare.
Demographic | Fishing creek | Tustin |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 19 |
Asian | Data is updating | 26 |
Hispanic | Data is updating | 41 |
Two or More Races | Data is updating | 11 |
American Indian | Data is updating | 1 |
Demographics Comparison: Fishing creek vs Tustin
- In Tustin, the percentage of Black residents is higher at 2% compared to 0% in Fishing creek.
- Fishing creek has a higher percentage of White residents at 100% compared to 19% in Tustin.
- In Tustin, the Asian population stands at 26%, greater than 0% in Fishing creek.
- Tustin has a higher percentage of Hispanic residents at 41%, compared to 0% in Fishing creek.
- The percentage of residents identifying as two or more races is higher in Tustin at 11%, compared to 0% in Fishing creek.
- In Tustin, the percentage of American Indian residents is higher at 1%, compared to 0% in Fishing creek.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fishing creek | Tustin |
---|---|---|
Mental Health Not Good | 15.3% | 14.0% |
Physical Health Not Good | 9.6% | 9.5% |
Depression | 21.2% | 16.5% |
Smoking | 15.1% | 9.4% |
Binge Drinking | 16.8% | 15.8% |
Obesity | 33.1% | 25.5% |
Disability Percentage | 28.0% | 7.0% |
Health Statistics Comparison: Fishing creek vs Tustin
- More residents in Fishing creek report poor mental health at 15.3% compared to 14.0% in Tustin.
- Depression is more prevalent in Fishing creek at 21.2% compared to 16.5% in Tustin.
- Smoking is more prevalent in Fishing creek at 15.1% compared to 9.4% in Tustin.
- Binge drinking is more common in Fishing creek at 16.8% compared to 15.8% in Tustin.
- Obesity rates are higher in Fishing creek at 33.1% compared to 25.5% in Tustin.
- Disability percentages are higher in Fishing creek at 28.0% compared to 7.0% in Tustin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fishing creek | Tustin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.8% (2,234) |
High School Diploma | 34.5% (81) | 9.7% (7,595) |
Less than High School | 0.0% (Data is updating) | 14.9% (11,700) |
Bachelor's Degree and Higher | 16.2% (38) | 31.0% (24,275) |
Education Levels Comparison: Fishing creek vs Tustin
- In Tustin, a larger percentage of residents lack formal schooling at 2.8% compared to 0.0% in Fishing creek.
- A higher percentage of residents in Fishing creek hold a high school diploma at 34.5% compared to 9.7% in Tustin.
- The percentage of residents with less than a high school education is higher in Tustin at 14.9%, compared to 0.0% in Fishing creek.
- In Tustin, a larger share of residents have a bachelor's degree or higher at 31.0% compared to 16.2% in Fishing creek.
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.