Demographics details for Butler, MO vs Sand springs, OK
Population Overview
Compare main population characteristics in Butler, MO vs Sand springs, OK.
| Data | Butler | Sand springs |
|---|---|---|
| Population | 4,246 | 20,031 |
| Median Age | 36.7 years | 36.6 years |
| Median Income | $33,548 | $70,431 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 4.3 | 3.8 |
Population Comparison: Butler vs Sand springs
- The population in Sand springs is higher at 20,031, compared to 4,246 in Butler.
- Residents in Butler have a higher median age of 36.7 years compared to 36.6 years in Sand springs.
- Sand springs has a higher median income of $70,431, compared to $33,548 in Butler.
- In Sand springs, the percentage of married families is higher at 41.0%, compared to 35.0% in Butler.
- Butler has a higher poverty level at 14% compared to 9% in Sand springs.
- The unemployment rate in Butler is higher at 4.3%, compared to 3.8% in Sand springs.
Demographics
Demographics Butler vs Sand springs provide insight into the diversity of the communities to compare.
| Demographic | Butler | Sand springs |
|---|---|---|
| Black | 6 | 2 |
| White | 89 | 76 |
| Asian | 1 | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | 7 |
Demographics Comparison: Butler vs Sand springs
- A higher percentage of Black residents are in Butler at 6% compared to 2% in Sand springs.
- Butler has a higher percentage of White residents at 89% compared to 76% in Sand springs.
- Both Butler and Sand springs have the same percentage of Asian residents at 1%.
- Sand springs has a higher percentage of Hispanic residents at 5%, compared to 1% in Butler.
- The percentage of residents identifying as two or more races is higher in Sand springs at 9%, compared to 3% in Butler.
- In Sand springs, the percentage of American Indian residents is higher at 7%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Sand springs |
|---|---|---|
| Mental Health Not Good | 20.0% | 18.6% |
| Physical Health Not Good | 15.0% | 11.8% |
| Depression | 27.0% | 26.9% |
| Smoking | 26.2% | 18.2% |
| Binge Drinking | 16.4% | 15.0% |
| Obesity | 42.8% | 35.7% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Butler vs Sand springs
- More residents in Butler report poor mental health at 20.0% compared to 18.6% in Sand springs.
- Depression is more prevalent in Butler at 27.0% compared to 26.9% in Sand springs.
- Smoking is more prevalent in Butler at 26.2% compared to 18.2% in Sand springs.
- Binge drinking is more common in Butler at 16.4% compared to 15.0% in Sand springs.
- Obesity rates are higher in Butler at 42.8% compared to 35.7% in Sand springs.
- Disability percentages are higher in Butler at 21.0% 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 | Butler | Sand springs |
|---|---|---|
| No Schooling | 0.7% (31) | 0.5% (98) |
| High School Diploma | 37.8% (1,605) | 16.8% (3,364) |
| Less than High School | 11.9% (505) | 11.3% (2,260) |
| Bachelor's Degree and Higher | 7.8% (330) | 15.2% (3,042) |
Education Levels Comparison: Butler vs Sand springs
- A higher percentage of residents in Butler have no formal schooling at 0.7% compared to 0.5% in Sand springs.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 16.8% in Sand springs.
- More residents in Butler have less than a high school education at 11.9% compared to 11.3% in Sand springs.
- In Sand springs, a larger share of residents have a bachelor's degree or higher at 15.2% compared to 7.8% in Butler.
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.