Demographics details for Fishing creek, MD vs Colton, CA
Population Overview
Compare main population characteristics in Fishing creek, MD vs Colton, CA.
Data | Fishing creek | Colton |
---|---|---|
Population | 235 | 53,918 |
Median Age | 55.9 years | 33.2 years |
Median Income | $76,250 | $66,725 |
Married Families | 58.0% | 36.0% |
Poverty Level | Data is updating | 19% |
Unemployment Rate | 3.5 | 5.4 |
Population Comparison: Fishing creek vs Colton
- The population in Colton is higher at 53,918, compared to 235 in Fishing creek.
- Residents in Fishing creek have a higher median age of 55.9 years compared to 33.2 years in Colton.
- Fishing creek has a higher median income of $76,250 compared to $66,725 in Colton.
- A higher percentage of married families is found in Fishing creek at 58.0% compared to 36.0% in Colton.
- The poverty level is higher in Colton at 19%, compared to 0% in Fishing creek.
- Colton has a higher unemployment rate at 5.4% compared to 3.5% in Fishing creek.
Demographics
Demographics Fishing creek vs Colton provide insight into the diversity of the communities to compare.
Demographic | Fishing creek | Colton |
---|---|---|
Black | Data is updating | 9 |
White | 100 | -4 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 73 |
Two or More Races | Data is updating | 18 |
American Indian | Data is updating | 1 |
Demographics Comparison: Fishing creek vs Colton
- In Colton, the percentage of Black residents is higher at 9% compared to 0% in Fishing creek.
- Fishing creek has a higher percentage of White residents at 100% compared to -4% in Colton.
- In Colton, the Asian population stands at 3%, greater than 0% in Fishing creek.
- Colton has a higher percentage of Hispanic residents at 73%, compared to 0% in Fishing creek.
- The percentage of residents identifying as two or more races is higher in Colton at 18%, compared to 0% in Fishing creek.
- In Colton, 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 | Colton |
---|---|---|
Mental Health Not Good | 15.3% | 16.6% |
Physical Health Not Good | 9.6% | 13.2% |
Depression | 21.2% | 17.3% |
Smoking | 15.1% | 12.7% |
Binge Drinking | 16.8% | 14.7% |
Obesity | 33.1% | 39.9% |
Disability Percentage | 28.0% | 12.0% |
Health Statistics Comparison: Fishing creek vs Colton
- In Colton, a higher percentage report poor mental health at 16.6% compared to 15.3% in Fishing creek.
- Depression is more prevalent in Fishing creek at 21.2% compared to 17.3% in Colton.
- Smoking is more prevalent in Fishing creek at 15.1% compared to 12.7% in Colton.
- Binge drinking is more common in Fishing creek at 16.8% compared to 14.7% in Colton.
- Colton has higher obesity rates at 39.9% compared to 33.1% in Fishing creek.
- Disability percentages are higher in Fishing creek at 28.0% compared to 12.0% in Colton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fishing creek | Colton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.0% (1,094) |
High School Diploma | 34.5% (81) | 17.2% (9,295) |
Less than High School | 0.0% (Data is updating) | 30.0% (16,167) |
Bachelor's Degree and Higher | 16.2% (38) | 11.2% (6,058) |
Education Levels Comparison: Fishing creek vs Colton
- In Colton, a larger percentage of residents lack formal schooling at 2.0% 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 17.2% in Colton.
- The percentage of residents with less than a high school education is higher in Colton at 30.0%, compared to 0.0% in Fishing creek.
- A higher percentage of residents in Fishing creek hold a bachelor's degree or higher at 16.2% compared to 11.2% in Colton.
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.