Demographics details for Sanford, FL vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Sanford, FL vs Oklahoma city, OK.
| Data | Sanford | Oklahoma city |
|---|---|---|
| Population | 63,154 | 694,800 |
| Median Age | 35.6 years | 34.9 years |
| Median Income | $59,181 | $64,251 |
| Married Families | 31.0% | 36.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Sanford vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 63,154 in Sanford.
- Residents in Sanford have a higher median age of 35.6 years compared to 34.9 years in Oklahoma city.
- Oklahoma city has a higher median income of $64,251, compared to $59,181 in Sanford.
- In Oklahoma city, the percentage of married families is higher at 36.0%, compared to 31.0% in Sanford.
- The poverty level is higher in Oklahoma city at 13%, compared to 12% in Sanford.
- The unemployment rate in Sanford is higher at 4.0%, compared to 3.5% in Oklahoma city.
Demographics
Demographics Sanford vs Oklahoma city provide insight into the diversity of the communities to compare.
| Demographic | Sanford | Oklahoma city |
|---|---|---|
| Black | 26 | 13 |
| White | 31 | 48 |
| Asian | 4 | 4 |
| Hispanic | 26 | 20 |
| Two or More Races | 13 | 12 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Sanford vs Oklahoma city
- A higher percentage of Black residents are in Sanford at 26% compared to 13% in Oklahoma city.
- The percentage of White residents is higher in Oklahoma city at 48% compared to 31% in Sanford.
- Both Sanford and Oklahoma city have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Sanford at 26% compared to 20% in Oklahoma city.
- More residents identify as two or more races in Sanford at 13% compared to 12% in Oklahoma city.
- In Oklahoma city, the percentage of American Indian residents is higher at 3%, compared to 0% in Sanford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanford | Oklahoma city |
|---|---|---|
| Mental Health Not Good | 16.5% | 18.1% |
| Physical Health Not Good | 12.1% | 12.3% |
| Depression | 18.9% | 24.8% |
| Smoking | 19.9% | 18.2% |
| Binge Drinking | 15.9% | 13.1% |
| Obesity | 34.4% | 38.0% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Sanford vs Oklahoma city
- In Oklahoma city, a higher percentage report poor mental health at 18.1% compared to 16.5% in Sanford.
- Higher depression rates are seen in Oklahoma city at 24.8% versus 18.9% in Sanford.
- Smoking is more prevalent in Sanford at 19.9% compared to 18.2% in Oklahoma city.
- Binge drinking is more common in Sanford at 15.9% compared to 13.1% in Oklahoma city.
- Oklahoma city has higher obesity rates at 38.0% compared to 34.4% in Sanford.
- There is a higher percentage of disabled individuals in Oklahoma city at 12.0% compared to 11.0% in Sanford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanford | Oklahoma city |
|---|---|---|
| No Schooling | 0.6% (389) | 1.3% (9,023) |
| High School Diploma | 19.0% (11,984) | 13.0% (90,670) |
| Less than High School | 11.1% (7,010) | 14.0% (97,428) |
| Bachelor's Degree and Higher | 16.9% (10,683) | 21.3% (148,128) |
Education Levels Comparison: Sanford vs Oklahoma city
- In Oklahoma city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.6% in Sanford.
- A higher percentage of residents in Sanford hold a high school diploma at 19.0% compared to 13.0% in Oklahoma city.
- The percentage of residents with less than a high school education is higher in Oklahoma city at 14.0%, compared to 11.1% in Sanford.
- In Oklahoma city, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 16.9% in Sanford.
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.