Demographics details for Siloam springs, AR vs Shepherd, MT
Population Overview
Compare main population characteristics in Siloam springs, AR vs Shepherd, MT.
Data | Siloam springs | Shepherd |
---|---|---|
Population | 18,654 | 772 |
Median Age | 30.1 years | 40.5 years |
Median Income | $59,911 | $125,179 |
Married Families | 38.0% | 47.0% |
Poverty Level | 13% | 5% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Siloam springs vs Shepherd
- In Siloam springs, the population is higher at 18,654, compared to 772 in Shepherd.
- The median age in Shepherd is higher at 40.5 years, compared to 30.1 years in Siloam springs.
- Shepherd has a higher median income of $125,179, compared to $59,911 in Siloam springs.
- In Shepherd, the percentage of married families is higher at 47.0%, compared to 38.0% in Siloam springs.
- Siloam springs has a higher poverty level at 13% compared to 5% in Shepherd.
- The unemployment rate in Siloam springs is higher at 3.5%, compared to 2.5% in Shepherd.
Demographics
Demographics Siloam springs vs Shepherd provide insight into the diversity of the communities to compare.
Demographic | Siloam springs | Shepherd |
---|---|---|
Black | 1 | Data is updating |
White | 50 | 86 |
Asian | 3 | Data is updating |
Hispanic | 23 | Data is updating |
Two or More Races | 20 | Data is updating |
American Indian | 3 | 14 |
Demographics Comparison: Siloam springs vs Shepherd
- A higher percentage of Black residents are in Siloam springs at 1% compared to 0% in Shepherd.
- The percentage of White residents is higher in Shepherd at 86% compared to 50% in Siloam springs.
- The Asian population is larger in Siloam springs at 3% compared to 0% in Shepherd.
- The Hispanic community is larger in Siloam springs at 23% compared to 0% in Shepherd.
- More residents identify as two or more races in Siloam springs at 20% compared to 0% in Shepherd.
- In Shepherd, the percentage of American Indian residents is higher at 14%, compared to 3% in Siloam springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Siloam springs | Shepherd |
---|---|---|
Mental Health Not Good | 20.0% | 16.7% |
Physical Health Not Good | 15.0% | 11.2% |
Depression | 26.0% | 28.0% |
Smoking | 21.6% | 16.7% |
Binge Drinking | 14.9% | 23.7% |
Obesity | 39.2% | 33.2% |
Disability Percentage | 13.0% | 6.0% |
Health Statistics Comparison: Siloam springs vs Shepherd
- More residents in Siloam springs report poor mental health at 20.0% compared to 16.7% in Shepherd.
- Higher depression rates are seen in Shepherd at 28.0% versus 26.0% in Siloam springs.
- Smoking is more prevalent in Siloam springs at 21.6% compared to 16.7% in Shepherd.
- More residents engage in binge drinking in Shepherd at 23.7% compared to 14.9% in Siloam springs.
- Obesity rates are higher in Siloam springs at 39.2% compared to 33.2% in Shepherd.
- Disability percentages are higher in Siloam springs at 13.0% compared to 6.0% in Shepherd.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Siloam springs | Shepherd |
---|---|---|
No Schooling | 3.7% (681) | 0.0% (Data is updating) |
High School Diploma | 13.5% (2,510) | 16.2% (125) |
Less than High School | 17.4% (3,249) | 8.0% (62) |
Bachelor's Degree and Higher | 14.4% (2,680) | 17.9% (138) |
Education Levels Comparison: Siloam springs vs Shepherd
- A higher percentage of residents in Siloam springs have no formal schooling at 3.7% compared to 0.0% in Shepherd.
- In Shepherd, the rate of residents with high school diplomas is higher at 16.2% compared to 13.5% in Siloam springs.
- More residents in Siloam springs have less than a high school education at 17.4% compared to 8.0% in Shepherd.
- In Shepherd, a larger share of residents have a bachelor's degree or higher at 17.9% compared to 14.4% in Siloam 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.