Demographics details for Smith center, KS vs Binford, ND
Population Overview
Compare main population characteristics in Smith center, KS vs Binford, ND.
| Data | Smith center | Binford |
|---|---|---|
| Population | 1,561 | 163 |
| Median Age | 46.6 years | 42.5 years |
| Median Income | $49,444 | $46,250 |
| Married Families | 43.0% | 33.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Smith center vs Binford
- In Smith center, the population is higher at 1,561, compared to 163 in Binford.
- Residents in Smith center have a higher median age of 46.6 years compared to 42.5 years in Binford.
- Smith center has a higher median income of $49,444 compared to $46,250 in Binford.
- A higher percentage of married families is found in Smith center at 43.0% compared to 33.0% in Binford.
- The poverty level is identical in both Smith center and Binford at 10%.
- The unemployment rate in Smith center is higher at 3.2%, compared to 2.5% in Binford.
Demographics
Demographics Smith center vs Binford provide insight into the diversity of the communities to compare.
| Demographic | Smith center | Binford |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 6 |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Smith center vs Binford
- A higher percentage of Black residents are in Smith center at 1% compared to 0% in Binford.
- The percentage of White residents is the same in both Smith center and Binford at 94%.
- Both Smith center and Binford have the same percentage of Asian residents at 0%.
- Binford has a higher percentage of Hispanic residents at 6%, compared to 3% in Smith center.
- More residents identify as two or more races in Smith center at 2% compared to 0% in Binford.
- The percentage of American Indian residents is the same in both Smith center and Binford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Smith center | Binford |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.3% |
| Physical Health Not Good | 10.8% | 9.8% |
| Depression | 21.7% | 20.1% |
| Smoking | 19.2% | 17.0% |
| Binge Drinking | 19.0% | 21.9% |
| Obesity | 38.8% | 40.0% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Smith center vs Binford
- More residents in Smith center report poor mental health at 16.7% compared to 14.3% in Binford.
- Depression is more prevalent in Smith center at 21.7% compared to 20.1% in Binford.
- Smoking is more prevalent in Smith center at 19.2% compared to 17.0% in Binford.
- More residents engage in binge drinking in Binford at 21.9% compared to 19.0% in Smith center.
- Binford has higher obesity rates at 40.0% compared to 38.8% in Smith center.
- Disability percentages are higher in Smith center at 15.0% compared to 10.0% in Binford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Smith center | Binford |
|---|---|---|
| No Schooling | 0.2% (3) | 0.0% (Data is updating) |
| High School Diploma | 29.4% (459) | 23.9% (39) |
| Less than High School | 7.6% (118) | 11.0% (18) |
| Bachelor's Degree and Higher | 14.8% (231) | 17.2% (28) |
Education Levels Comparison: Smith center vs Binford
- A higher percentage of residents in Smith center have no formal schooling at 0.2% compared to 0.0% in Binford.
- A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 23.9% in Binford.
- The percentage of residents with less than a high school education is higher in Binford at 11.0%, compared to 7.6% in Smith center.
- In Binford, a larger share of residents have a bachelor's degree or higher at 17.2% compared to 14.8% in Smith center.
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.