Demographics details for Deshler, OH vs League city, TX
Population Overview
Compare main population characteristics in Deshler, OH vs League city, TX.
| Data | Deshler | League city |
|---|---|---|
| Population | 1,571 | 115,418 |
| Median Age | 36.7 years | 37.1 years |
| Median Income | $57,273 | $117,316 |
| Married Families | 41.0% | 48.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 4.1 | 3.8 |
Population Comparison: Deshler vs League city
- The population in League city is higher at 115,418, compared to 1,571 in Deshler.
- The median age in League city is higher at 37.1 years, compared to 36.7 years in Deshler.
- League city has a higher median income of $117,316, compared to $57,273 in Deshler.
- In League city, the percentage of married families is higher at 48.0%, compared to 41.0% in Deshler.
- Deshler has a higher poverty level at 10% compared to 6% in League city.
- The unemployment rate in Deshler is higher at 4.1%, compared to 3.8% in League city.
Demographics
Demographics Deshler vs League city provide insight into the diversity of the communities to compare.
| Demographic | Deshler | League city |
|---|---|---|
| Black | Data is updating | 8 |
| White | 84 | 57 |
| Asian | Data is updating | 6 |
| Hispanic | 12 | 19 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Deshler vs League city
- In League city, the percentage of Black residents is higher at 8% compared to 0% in Deshler.
- Deshler has a higher percentage of White residents at 84% compared to 57% in League city.
- In League city, the Asian population stands at 6%, greater than 0% in Deshler.
- League city has a higher percentage of Hispanic residents at 19%, compared to 12% in Deshler.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 4% in Deshler.
- The percentage of American Indian residents is the same in both Deshler and League city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Deshler | League city |
|---|---|---|
| Mental Health Not Good | 17.5% | 14.1% |
| Physical Health Not Good | 11.9% | 8.6% |
| Depression | 23.3% | 21.0% |
| Smoking | 20.5% | 11.2% |
| Binge Drinking | 18.9% | 19.5% |
| Obesity | 42.3% | 30.4% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Deshler vs League city
- More residents in Deshler report poor mental health at 17.5% compared to 14.1% in League city.
- Depression is more prevalent in Deshler at 23.3% compared to 21.0% in League city.
- Smoking is more prevalent in Deshler at 20.5% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 18.9% in Deshler.
- Obesity rates are higher in Deshler at 42.3% compared to 30.4% in League city.
- Disability percentages are higher in Deshler at 10.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Deshler | League city |
|---|---|---|
| No Schooling | 3.1% (49) | 0.5% (597) |
| High School Diploma | 27.5% (432) | 8.9% (10,242) |
| Less than High School | 19.6% (308) | 4.9% (5,692) |
| Bachelor's Degree and Higher | 11.5% (180) | 31.5% (36,360) |
Education Levels Comparison: Deshler vs League city
- A higher percentage of residents in Deshler have no formal schooling at 3.1% compared to 0.5% in League city.
- A higher percentage of residents in Deshler hold a high school diploma at 27.5% compared to 8.9% in League city.
- More residents in Deshler have less than a high school education at 19.6% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 11.5% in Deshler.
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.