Demographics details for Siloam springs, AR vs Laurel, MT
Population Overview
Compare main population characteristics in Siloam springs, AR vs Laurel, MT.
| Data | Siloam springs | Laurel |
|---|---|---|
| Population | 18,654 | 7,203 |
| Median Age | 30.1 years | 36.5 years |
| Median Income | $59,911 | $62,250 |
| Married Families | 38.0% | 37.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Siloam springs vs Laurel
- In Siloam springs, the population is higher at 18,654, compared to 7,203 in Laurel.
- The median age in Laurel is higher at 36.5 years, compared to 30.1 years in Siloam springs.
- Laurel has a higher median income of $62,250, compared to $59,911 in Siloam springs.
- A higher percentage of married families is found in Siloam springs at 38.0% compared to 37.0% in Laurel.
- Siloam springs has a higher poverty level at 13% compared to 7% in Laurel.
- The unemployment rate is the same in both Siloam springs and Laurel at 3.5%.
Demographics
Demographics Siloam springs vs Laurel provide insight into the diversity of the communities to compare.
| Demographic | Siloam springs | Laurel |
|---|---|---|
| Black | 1 | Data is updating |
| White | 50 | 83 |
| Asian | 3 | 2 |
| Hispanic | 23 | 7 |
| Two or More Races | 20 | 7 |
| American Indian | 3 | 1 |
Demographics Comparison: Siloam springs vs Laurel
- A higher percentage of Black residents are in Siloam springs at 1% compared to 0% in Laurel.
- The percentage of White residents is higher in Laurel at 83% compared to 50% in Siloam springs.
- The Asian population is larger in Siloam springs at 3% compared to 2% in Laurel.
- The Hispanic community is larger in Siloam springs at 23% compared to 7% in Laurel.
- More residents identify as two or more races in Siloam springs at 20% compared to 7% in Laurel.
- A greater percentage of American Indian residents live in Siloam springs at 3% compared to 1% in Laurel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Siloam springs | Laurel |
|---|---|---|
| Mental Health Not Good | 20.0% | 16.4% |
| Physical Health Not Good | 15.0% | 10.8% |
| Depression | 26.0% | 27.8% |
| Smoking | 21.6% | 15.8% |
| Binge Drinking | 14.9% | 23.8% |
| Obesity | 39.2% | 32.2% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Siloam springs vs Laurel
- More residents in Siloam springs report poor mental health at 20.0% compared to 16.4% in Laurel.
- Higher depression rates are seen in Laurel at 27.8% versus 26.0% in Siloam springs.
- Smoking is more prevalent in Siloam springs at 21.6% compared to 15.8% in Laurel.
- More residents engage in binge drinking in Laurel at 23.8% compared to 14.9% in Siloam springs.
- Obesity rates are higher in Siloam springs at 39.2% compared to 32.2% in Laurel.
- Disability percentages are the same in both Siloam springs and Laurel at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Siloam springs | Laurel |
|---|---|---|
| No Schooling | 3.7% (681) | 0.2% (14) |
| High School Diploma | 13.5% (2,510) | 21.7% (1,563) |
| Less than High School | 17.4% (3,249) | 7.7% (556) |
| Bachelor's Degree and Higher | 14.4% (2,680) | 10.8% (780) |
Education Levels Comparison: Siloam springs vs Laurel
- A higher percentage of residents in Siloam springs have no formal schooling at 3.7% compared to 0.2% in Laurel.
- In Laurel, the rate of residents with high school diplomas is higher at 21.7% compared to 13.5% in Siloam springs.
- More residents in Siloam springs have less than a high school education at 17.4% compared to 7.7% in Laurel.
- A higher percentage of residents in Siloam springs hold a bachelor's degree or higher at 14.4% compared to 10.8% in Laurel.
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.