Demographics details for Sand springs, OK vs Methuen, MA
Population Overview
Compare main population characteristics in Sand springs, OK vs Methuen, MA.
| Data | Sand springs | Methuen |
|---|---|---|
| Population | 20,031 | 53,241 |
| Median Age | 36.6 years | 40.6 years |
| Median Income | $70,431 | $93,681 |
| Married Families | 41.0% | 39.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.8 | 4.6 |
Population Comparison: Sand springs vs Methuen
- The population in Methuen is higher at 53,241, compared to 20,031 in Sand springs.
- The median age in Methuen is higher at 40.6 years, compared to 36.6 years in Sand springs.
- Methuen has a higher median income of $93,681, compared to $70,431 in Sand springs.
- A higher percentage of married families is found in Sand springs at 41.0% compared to 39.0% in Methuen.
- Sand springs has a higher poverty level at 9% compared to 8% in Methuen.
- Methuen has a higher unemployment rate at 4.6% compared to 3.8% in Sand springs.
Demographics
Demographics Sand springs vs Methuen provide insight into the diversity of the communities to compare.
| Demographic | Sand springs | Methuen |
|---|---|---|
| Black | 2 | 5 |
| White | 76 | 51 |
| Asian | 1 | 4 |
| Hispanic | 5 | 30 |
| Two or More Races | 9 | 10 |
| American Indian | 7 | Data is updating |
Demographics Comparison: Sand springs vs Methuen
- In Methuen, the percentage of Black residents is higher at 5% compared to 2% in Sand springs.
- Sand springs has a higher percentage of White residents at 76% compared to 51% in Methuen.
- In Methuen, the Asian population stands at 4%, greater than 1% in Sand springs.
- Methuen has a higher percentage of Hispanic residents at 30%, compared to 5% in Sand springs.
- The percentage of residents identifying as two or more races is higher in Methuen at 10%, compared to 9% in Sand springs.
- A greater percentage of American Indian residents live in Sand springs at 7% compared to 0% in Methuen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand springs | Methuen |
|---|---|---|
| Mental Health Not Good | 18.6% | 17.1% |
| Physical Health Not Good | 11.8% | 9.8% |
| Depression | 26.9% | 23.4% |
| Smoking | 18.2% | 14.1% |
| Binge Drinking | 15.0% | 17.7% |
| Obesity | 35.7% | 30.4% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Sand springs vs Methuen
- More residents in Sand springs report poor mental health at 18.6% compared to 17.1% in Methuen.
- Depression is more prevalent in Sand springs at 26.9% compared to 23.4% in Methuen.
- Smoking is more prevalent in Sand springs at 18.2% compared to 14.1% in Methuen.
- More residents engage in binge drinking in Methuen at 17.7% compared to 15.0% in Sand springs.
- Obesity rates are higher in Sand springs at 35.7% compared to 30.4% in Methuen.
- Disability percentages are higher in Sand springs at 17.0% compared to 11.0% in Methuen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sand springs | Methuen |
|---|---|---|
| No Schooling | 0.5% (98) | 1.4% (741) |
| High School Diploma | 16.8% (3,364) | 17.4% (9,266) |
| Less than High School | 11.3% (2,260) | 13.9% (7,384) |
| Bachelor's Degree and Higher | 15.2% (3,042) | 21.3% (11,336) |
Education Levels Comparison: Sand springs vs Methuen
- In Methuen, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Sand springs.
- In Methuen, the rate of residents with high school diplomas is higher at 17.4% compared to 16.8% in Sand springs.
- The percentage of residents with less than a high school education is higher in Methuen at 13.9%, compared to 11.3% in Sand springs.
- In Methuen, a larger share of residents have a bachelor's degree or higher at 21.3% 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.