Demographics details for Broken arrow, OK vs Holiday, FL
Population Overview
Compare main population characteristics in Broken arrow, OK vs Holiday, FL.
| Data | Broken arrow | Holiday |
|---|---|---|
| Population | 117,911 | 21,495 |
| Median Age | 36.8 years | 43.9 years |
| Median Income | $82,547 | $40,852 |
| Married Families | 43.0% | 31.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Broken arrow vs Holiday
- In Broken arrow, the population is higher at 117,911, compared to 21,495 in Holiday.
- The median age in Holiday is higher at 43.9 years, compared to 36.8 years in Broken arrow.
- Broken arrow has a higher median income of $82,547 compared to $40,852 in Holiday.
- A higher percentage of married families is found in Broken arrow at 43.0% compared to 31.0% in Holiday.
- The poverty level is higher in Holiday at 13%, compared to 10% in Broken arrow.
- The unemployment rate in Broken arrow is higher at 3.3%, compared to 3.2% in Holiday.
Demographics
Demographics Broken arrow vs Holiday provide insight into the diversity of the communities to compare.
| Demographic | Broken arrow | Holiday |
|---|---|---|
| Black | 5 | 9 |
| White | 65 | 61 |
| Asian | 4 | 1 |
| Hispanic | 10 | 18 |
| Two or More Races | 11 | 11 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Broken arrow vs Holiday
- In Holiday, the percentage of Black residents is higher at 9% compared to 5% in Broken arrow.
- Broken arrow has a higher percentage of White residents at 65% compared to 61% in Holiday.
- The Asian population is larger in Broken arrow at 4% compared to 1% in Holiday.
- Holiday has a higher percentage of Hispanic residents at 18%, compared to 10% in Broken arrow.
- Both Broken arrow and Holiday have the same percentage of residents identifying as two or more races at 11%.
- A greater percentage of American Indian residents live in Broken arrow at 5% compared to 0% in Holiday.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken arrow | Holiday |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.6% |
| Physical Health Not Good | 10.3% | 13.7% |
| Depression | 25.0% | 24.5% |
| Smoking | 14.9% | 27.9% |
| Binge Drinking | 15.0% | 16.9% |
| Obesity | 34.6% | 33.6% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Broken arrow vs Holiday
- In Holiday, a higher percentage report poor mental health at 18.6% compared to 16.8% in Broken arrow.
- Depression is more prevalent in Broken arrow at 25.0% compared to 24.5% in Holiday.
- Holiday has a higher smoking rate at 27.9% compared to 14.9% in Broken arrow.
- More residents engage in binge drinking in Holiday at 16.9% compared to 15.0% in Broken arrow.
- Obesity rates are higher in Broken arrow at 34.6% compared to 33.6% in Holiday.
- There is a higher percentage of disabled individuals in Holiday at 18.0% compared to 11.0% in Broken arrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken arrow | Holiday |
|---|---|---|
| No Schooling | 0.8% (935) | 1.0% (217) |
| High School Diploma | 13.2% (15,535) | 34.2% (7,351) |
| Less than High School | 6.6% (7,783) | 15.3% (3,281) |
| Bachelor's Degree and Higher | 22.2% (26,196) | 8.5% (1,817) |
Education Levels Comparison: Broken arrow vs Holiday
- In Holiday, a larger percentage of residents lack formal schooling at 1.0% compared to 0.8% in Broken arrow.
- In Holiday, the rate of residents with high school diplomas is higher at 34.2% compared to 13.2% in Broken arrow.
- The percentage of residents with less than a high school education is higher in Holiday at 15.3%, compared to 6.6% in Broken arrow.
- A higher percentage of residents in Broken arrow hold a bachelor's degree or higher at 22.2% compared to 8.5% in Holiday.
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.