Demographics details for Olcott, NY vs Pompano beach, FL
Population Overview
Compare main population characteristics in Olcott, NY vs Pompano beach, FL.
Data | Olcott | Pompano beach |
---|---|---|
Population | 1,041 | 112,302 |
Median Age | 47.1 years | 41.5 years |
Median Income | $70,606 | $61,155 |
Married Families | 29.0% | 33.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 4.5 | 3.8 |
Population Comparison: Olcott vs Pompano beach
- The population in Pompano beach is higher at 112,302, compared to 1,041 in Olcott.
- Residents in Olcott have a higher median age of 47.1 years compared to 41.5 years in Pompano beach.
- Olcott has a higher median income of $70,606 compared to $61,155 in Pompano beach.
- In Pompano beach, the percentage of married families is higher at 33.0%, compared to 29.0% in Olcott.
- The poverty level is higher in Pompano beach at 11%, compared to 10% in Olcott.
- The unemployment rate in Olcott is higher at 4.5%, compared to 3.8% in Pompano beach.
Demographics
Demographics Olcott vs Pompano beach provide insight into the diversity of the communities to compare.
Demographic | Olcott | Pompano beach |
---|---|---|
Black | Data is updating | 30 |
White | 99 | 30 |
Asian | Data is updating | 2 |
Hispanic | 1 | 24 |
Two or More Races | Data is updating | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Olcott vs Pompano beach
- In Pompano beach, the percentage of Black residents is higher at 30% compared to 0% in Olcott.
- Olcott has a higher percentage of White residents at 99% compared to 30% in Pompano beach.
- In Pompano beach, the Asian population stands at 2%, greater than 0% in Olcott.
- Pompano beach has a higher percentage of Hispanic residents at 24%, compared to 1% in Olcott.
- The percentage of residents identifying as two or more races is higher in Pompano beach at 14%, compared to 0% in Olcott.
- The percentage of American Indian residents is the same in both Olcott and Pompano beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Olcott | Pompano beach |
---|---|---|
Mental Health Not Good | 17.6% | 16.7% |
Physical Health Not Good | 11.6% | 12.2% |
Depression | 26.7% | 18.1% |
Smoking | 22.8% | 20.9% |
Binge Drinking | 18.4% | 14.9% |
Obesity | 35.9% | 31.4% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Olcott vs Pompano beach
- More residents in Olcott report poor mental health at 17.6% compared to 16.7% in Pompano beach.
- Depression is more prevalent in Olcott at 26.7% compared to 18.1% in Pompano beach.
- Smoking is more prevalent in Olcott at 22.8% compared to 20.9% in Pompano beach.
- Binge drinking is more common in Olcott at 18.4% compared to 14.9% in Pompano beach.
- Obesity rates are higher in Olcott at 35.9% compared to 31.4% in Pompano beach.
- There is a higher percentage of disabled individuals in Pompano beach at 13.0% compared to 11.0% in Olcott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Olcott | Pompano beach |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.9% (2,095) |
High School Diploma | 27.3% (284) | 18.0% (20,172) |
Less than High School | 5.8% (60) | 17.1% (19,168) |
Bachelor's Degree and Higher | 13.5% (141) | 22.2% (24,905) |
Education Levels Comparison: Olcott vs Pompano beach
- In Pompano beach, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Olcott.
- A higher percentage of residents in Olcott hold a high school diploma at 27.3% compared to 18.0% in Pompano beach.
- The percentage of residents with less than a high school education is higher in Pompano beach at 17.1%, compared to 5.8% in Olcott.
- In Pompano beach, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 13.5% in Olcott.
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.