Demographics details for Sand springs, OK vs Elk horn, IA
Population Overview
Compare main population characteristics in Sand springs, OK vs Elk horn, IA.
| Data | Sand springs | Elk horn |
|---|---|---|
| Population | 20,031 | 619 |
| Median Age | 36.6 years | 49.9 years |
| Median Income | $70,431 | $59,306 |
| Married Families | 41.0% | 35.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.8 | 3.6 |
Population Comparison: Sand springs vs Elk horn
- In Sand springs, the population is higher at 20,031, compared to 619 in Elk horn.
- The median age in Elk horn is higher at 49.9 years, compared to 36.6 years in Sand springs.
- Sand springs has a higher median income of $70,431 compared to $59,306 in Elk horn.
- A higher percentage of married families is found in Sand springs at 41.0% compared to 35.0% in Elk horn.
- The poverty level is identical in both Sand springs and Elk horn at 9%.
- The unemployment rate in Sand springs is higher at 3.8%, compared to 3.6% in Elk horn.
Demographics
Demographics Sand springs vs Elk horn provide insight into the diversity of the communities to compare.
| Demographic | Sand springs | Elk horn |
|---|---|---|
| Black | 2 | Data is updating |
| White | 76 | 93 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 5 |
| Two or More Races | 9 | 1 |
| American Indian | 7 | 1 |
Demographics Comparison: Sand springs vs Elk horn
- A higher percentage of Black residents are in Sand springs at 2% compared to 0% in Elk horn.
- The percentage of White residents is higher in Elk horn at 93% compared to 76% in Sand springs.
- The Asian population is larger in Sand springs at 1% compared to 0% in Elk horn.
- The percentage of Hispanic residents is the same in both Sand springs and Elk horn at 5%.
- More residents identify as two or more races in Sand springs at 9% compared to 1% in Elk horn.
- A greater percentage of American Indian residents live in Sand springs at 7% compared to 1% in Elk horn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand springs | Elk horn |
|---|---|---|
| Mental Health Not Good | 18.6% | 14.8% |
| Physical Health Not Good | 11.8% | 9.0% |
| Depression | 26.9% | 18.0% |
| Smoking | 18.2% | 16.3% |
| Binge Drinking | 15.0% | 22.9% |
| Obesity | 35.7% | 35.9% |
| Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Sand springs vs Elk horn
- More residents in Sand springs report poor mental health at 18.6% compared to 14.8% in Elk horn.
- Depression is more prevalent in Sand springs at 26.9% compared to 18.0% in Elk horn.
- Smoking is more prevalent in Sand springs at 18.2% compared to 16.3% in Elk horn.
- More residents engage in binge drinking in Elk horn at 22.9% compared to 15.0% in Sand springs.
- Elk horn has higher obesity rates at 35.9% compared to 35.7% in Sand springs.
- Disability percentages are higher in Sand springs at 17.0% compared to 8.0% in Elk horn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sand springs | Elk horn |
|---|---|---|
| No Schooling | 0.5% (98) | 0.0% (Data is updating) |
| High School Diploma | 16.8% (3,364) | 18.9% (117) |
| Less than High School | 11.3% (2,260) | 7.1% (44) |
| Bachelor's Degree and Higher | 15.2% (3,042) | 15.3% (95) |
Education Levels Comparison: Sand springs vs Elk horn
- A higher percentage of residents in Sand springs have no formal schooling at 0.5% compared to 0.0% in Elk horn.
- In Elk horn, the rate of residents with high school diplomas is higher at 18.9% compared to 16.8% in Sand springs.
- More residents in Sand springs have less than a high school education at 11.3% compared to 7.1% in Elk horn.
- In Elk horn, a larger share of residents have a bachelor's degree or higher at 15.3% compared to 15.2% in Sand springs.
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.