Demographics details for Kaufman, TX vs Shoshoni, WY
Population Overview
Compare main population characteristics in Kaufman, TX vs Shoshoni, WY.
| Data | Kaufman | Shoshoni |
|---|---|---|
| Population | 172,366 | 491 |
| Median Age | 34.6 years | 40.4 years |
| Median Income | $84,075 | $39,485 |
| Married Families | 36.0% | 39.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.8 | 5.0 |
Population Comparison: Kaufman vs Shoshoni
- In Kaufman, the population is higher at 172,366, compared to 491 in Shoshoni.
- The median age in Shoshoni is higher at 40.4 years, compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075 compared to $39,485 in Shoshoni.
- In Shoshoni, the percentage of married families is higher at 39.0%, compared to 36.0% in Kaufman.
- The poverty level is identical in both Kaufman and Shoshoni at 10%.
- Shoshoni has a higher unemployment rate at 5.0% compared to 4.8% in Kaufman.
Demographics
Demographics Kaufman vs Shoshoni provide insight into the diversity of the communities to compare.
| Demographic | Kaufman | Shoshoni |
|---|---|---|
| Black | 13 | Data is updating |
| White | 53 | 86 |
| Asian | 1 | Data is updating |
| Hispanic | 22 | 4 |
| Two or More Races | 11 | 3 |
| American Indian | Data is updating | 7 |
Demographics Comparison: Kaufman vs Shoshoni
- A higher percentage of Black residents are in Kaufman at 13% compared to 0% in Shoshoni.
- The percentage of White residents is higher in Shoshoni at 86% compared to 53% in Kaufman.
- The Asian population is larger in Kaufman at 1% compared to 0% in Shoshoni.
- The Hispanic community is larger in Kaufman at 22% compared to 4% in Shoshoni.
- More residents identify as two or more races in Kaufman at 11% compared to 3% in Shoshoni.
- In Shoshoni, the percentage of American Indian residents is higher at 7%, compared to 0% in Kaufman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaufman | Shoshoni |
|---|---|---|
| Mental Health Not Good | 16.8% | 15.1% |
| Physical Health Not Good | 11.4% | 10.1% |
| Depression | 22.6% | 20.0% |
| Smoking | 16.1% | 16.3% |
| Binge Drinking | 18.2% | 18.2% |
| Obesity | 36.6% | 30.4% |
| Disability Percentage | 9.0% | 26.0% |
Health Statistics Comparison: Kaufman vs Shoshoni
- More residents in Kaufman report poor mental health at 16.8% compared to 15.1% in Shoshoni.
- Depression is more prevalent in Kaufman at 22.6% compared to 20.0% in Shoshoni.
- Shoshoni has a higher smoking rate at 16.3% compared to 16.1% in Kaufman.
- Binge drinking rates are similar in both Kaufman and Shoshoni at 18.2%.
- Obesity rates are higher in Kaufman at 36.6% compared to 30.4% in Shoshoni.
- There is a higher percentage of disabled individuals in Shoshoni at 26.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kaufman | Shoshoni |
|---|---|---|
| No Schooling | 1.4% (2,482) | 0.0% (Data is updating) |
| High School Diploma | 12.9% (22,235) | 38.9% (191) |
| Less than High School | 14.2% (24,496) | 20.4% (100) |
| Bachelor's Degree and Higher | 13.1% (22,541) | 5.7% (28) |
Education Levels Comparison: Kaufman vs Shoshoni
- A higher percentage of residents in Kaufman have no formal schooling at 1.4% compared to 0.0% in Shoshoni.
- In Shoshoni, the rate of residents with high school diplomas is higher at 38.9% compared to 12.9% in Kaufman.
- The percentage of residents with less than a high school education is higher in Shoshoni at 20.4%, compared to 14.2% in Kaufman.
- A higher percentage of residents in Kaufman hold a bachelor's degree or higher at 13.1% compared to 5.7% in Shoshoni.
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.