Demographics details for Simms, TX vs Murray, KY
Population Overview
Compare main population characteristics in Simms, TX vs Murray, KY.
| Data | Simms | Murray |
|---|---|---|
| Population | 160 | 17,522 |
| Median Age | 39.0 years | 25.6 years |
| Median Income | $51,000 | $37,421 |
| Married Families | 60.0% | 26.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 5.0 | 3.8 |
Population Comparison: Simms vs Murray
- The population in Murray is higher at 17,522, compared to 160 in Simms.
- Residents in Simms have a higher median age of 39.0 years compared to 25.6 years in Murray.
- Simms has a higher median income of $51,000 compared to $37,421 in Murray.
- A higher percentage of married families is found in Simms at 60.0% compared to 26.0% in Murray.
- Simms has a higher poverty level at 15% compared to 0% in Murray.
- The unemployment rate in Simms is higher at 5.0%, compared to 3.8% in Murray.
Demographics
Demographics Simms vs Murray provide insight into the diversity of the communities to compare.
| Demographic | Simms | Murray |
|---|---|---|
| Black | 2 | 6 |
| White | 94 | 86 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 2 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Simms vs Murray
- In Murray, the percentage of Black residents is higher at 6% compared to 2% in Simms.
- Simms has a higher percentage of White residents at 94% compared to 86% in Murray.
- In Murray, the Asian population stands at 3%, greater than 0% in Simms.
- The Hispanic community is larger in Simms at 4% compared to 2% in Murray.
- The percentage of residents identifying as two or more races is higher in Murray at 3%, compared to 0% in Simms.
- The percentage of American Indian residents is the same in both Simms and Murray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Simms | Murray |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.9% |
| Physical Health Not Good | Data is updating% | 14.1% |
| Depression | Data is updating% | 28.4% |
| Smoking | Data is updating% | 22.0% |
| Binge Drinking | Data is updating% | 14.0% |
| Obesity | Data is updating% | 41.3% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Simms vs Murray
- In Murray, a higher percentage report poor mental health at 19.9% compared to 0.0% in Simms.
- Higher depression rates are seen in Murray at 28.4% versus 0.0% in Simms.
- Murray has a higher smoking rate at 22.0% compared to 0.0% in Simms.
- More residents engage in binge drinking in Murray at 14.0% compared to 0.0% in Simms.
- Murray has higher obesity rates at 41.3% compared to 0.0% in Simms.
- There is a higher percentage of disabled individuals in Murray at 16.0% compared to 0.0% in Simms.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Simms | Murray |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (166) |
| High School Diploma | 0.0% (Data is updating) | 10.5% (1,833) |
| Less than High School | 0.0% (Data is updating) | 8.7% (1,531) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 18.2% (3,185) |
Education Levels Comparison: Simms vs Murray
- In Murray, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Simms.
- In Murray, the rate of residents with high school diplomas is higher at 10.5% compared to 0.0% in Simms.
- The percentage of residents with less than a high school education is higher in Murray at 8.7%, compared to 0.0% in Simms.
- In Murray, a larger share of residents have a bachelor's degree or higher at 18.2% compared to 0.0% in Simms.
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.