Demographics details for Sand springs, OK vs Franklin, NE
Population Overview
Compare main population characteristics in Sand springs, OK vs Franklin, NE.
| Data | Sand springs | Franklin |
|---|---|---|
| Population | 20,031 | 2,873 |
| Median Age | 36.6 years | 49.8 years |
| Median Income | $70,431 | $55,625 |
| Married Families | 41.0% | 51.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Sand springs vs Franklin
- In Sand springs, the population is higher at 20,031, compared to 2,873 in Franklin.
- The median age in Franklin is higher at 49.8 years, compared to 36.6 years in Sand springs.
- Sand springs has a higher median income of $70,431 compared to $55,625 in Franklin.
- In Franklin, the percentage of married families is higher at 51.0%, compared to 41.0% in Sand springs.
- Sand springs has a higher poverty level at 9% compared to 0% in Franklin.
- The unemployment rate in Sand springs is higher at 3.8%, compared to 3.2% in Franklin.
Demographics
Demographics Sand springs vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Sand springs | Franklin |
|---|---|---|
| Black | 2 | Data is updating |
| White | 76 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 3 |
| Two or More Races | 9 | 2 |
| American Indian | 7 | 1 |
Demographics Comparison: Sand springs vs Franklin
- A higher percentage of Black residents are in Sand springs at 2% compared to 0% in Franklin.
- The percentage of White residents is higher in Franklin at 94% compared to 76% in Sand springs.
- The Asian population is larger in Sand springs at 1% compared to 0% in Franklin.
- The Hispanic community is larger in Sand springs at 5% compared to 3% in Franklin.
- More residents identify as two or more races in Sand springs at 9% compared to 2% in Franklin.
- A greater percentage of American Indian residents live in Sand springs at 7% compared to 1% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand springs | Franklin |
|---|---|---|
| Mental Health Not Good | 18.6% | 15.4% |
| Physical Health Not Good | 11.8% | 10.8% |
| Depression | 26.9% | 18.5% |
| Smoking | 18.2% | 19.6% |
| Binge Drinking | 15.0% | 20.2% |
| Obesity | 35.7% | 43.8% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Sand springs vs Franklin
- More residents in Sand springs report poor mental health at 18.6% compared to 15.4% in Franklin.
- Depression is more prevalent in Sand springs at 26.9% compared to 18.5% in Franklin.
- Franklin has a higher smoking rate at 19.6% compared to 18.2% in Sand springs.
- More residents engage in binge drinking in Franklin at 20.2% compared to 15.0% in Sand springs.
- Franklin has higher obesity rates at 43.8% compared to 35.7% in Sand springs.
- There is a higher percentage of disabled individuals in Franklin at 18.0% compared to 17.0% in Sand springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sand springs | Franklin |
|---|---|---|
| No Schooling | 0.5% (98) | 0.2% (6) |
| High School Diploma | 16.8% (3,364) | 21.8% (627) |
| Less than High School | 11.3% (2,260) | 10.1% (289) |
| Bachelor's Degree and Higher | 15.2% (3,042) | 14.5% (416) |
Education Levels Comparison: Sand springs vs Franklin
- A higher percentage of residents in Sand springs have no formal schooling at 0.5% compared to 0.2% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 21.8% compared to 16.8% in Sand springs.
- More residents in Sand springs have less than a high school education at 11.3% compared to 10.1% in Franklin.
- A higher percentage of residents in Sand springs hold a bachelor's degree or higher at 15.2% compared to 14.5% in Franklin.
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.