Demographics details for Strum, WI vs Port arthur, TX
Population Overview
Compare main population characteristics in Strum, WI vs Port arthur, TX.
| Data | Strum | Port arthur |
|---|---|---|
| Population | 1,068 | 55,579 |
| Median Age | 33.7 years | 33.7 years |
| Median Income | $64,911 | $45,357 |
| Married Families | 41.0% | 30.0% |
| Poverty Level | Data is updating | 23% |
| Unemployment Rate | 2.5 | 11.0 |
Population Comparison: Strum vs Port arthur
- The population in Port arthur is higher at 55,579, compared to 1,068 in Strum.
- The median age is the same in both Strum and Port arthur at 33.7 years.
- Strum has a higher median income of $64,911 compared to $45,357 in Port arthur.
- A higher percentage of married families is found in Strum at 41.0% compared to 30.0% in Port arthur.
- The poverty level is higher in Port arthur at 23%, compared to 0% in Strum.
- Port arthur has a higher unemployment rate at 11.0% compared to 2.5% in Strum.
Demographics
Demographics Strum vs Port arthur provide insight into the diversity of the communities to compare.
| Demographic | Strum | Port arthur |
|---|---|---|
| Black | Data is updating | 43 |
| White | 91 | 3 |
| Asian | 1 | 6 |
| Hispanic | 4 | 34 |
| Two or More Races | 3 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Strum vs Port arthur
- In Port arthur, the percentage of Black residents is higher at 43% compared to 0% in Strum.
- Strum has a higher percentage of White residents at 91% compared to 3% in Port arthur.
- In Port arthur, the Asian population stands at 6%, greater than 1% in Strum.
- Port arthur has a higher percentage of Hispanic residents at 34%, compared to 4% in Strum.
- The percentage of residents identifying as two or more races is higher in Port arthur at 13%, compared to 3% in Strum.
- The percentage of American Indian residents is the same in both Strum and Port arthur at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Strum | Port arthur |
|---|---|---|
| Mental Health Not Good | 14.7% | 19.5% |
| Physical Health Not Good | 9.9% | 15.9% |
| Depression | 23.2% | 20.4% |
| Smoking | 15.7% | 23.3% |
| Binge Drinking | 24.8% | 13.9% |
| Obesity | 35.0% | 42.2% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Strum vs Port arthur
- In Port arthur, a higher percentage report poor mental health at 19.5% compared to 14.7% in Strum.
- Depression is more prevalent in Strum at 23.2% compared to 20.4% in Port arthur.
- Port arthur has a higher smoking rate at 23.3% compared to 15.7% in Strum.
- Binge drinking is more common in Strum at 24.8% compared to 13.9% in Port arthur.
- Port arthur has higher obesity rates at 42.2% compared to 35.0% in Strum.
- There is a higher percentage of disabled individuals in Port arthur at 15.0% compared to 14.0% in Strum.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Strum | Port arthur |
|---|---|---|
| No Schooling | 0.7% (7) | 2.5% (1,383) |
| High School Diploma | 23.6% (252) | 19.6% (10,902) |
| Less than High School | 4.5% (48) | 23.7% (13,180) |
| Bachelor's Degree and Higher | 14.5% (155) | 7.1% (3,955) |
Education Levels Comparison: Strum vs Port arthur
- In Port arthur, a larger percentage of residents lack formal schooling at 2.5% compared to 0.7% in Strum.
- A higher percentage of residents in Strum hold a high school diploma at 23.6% compared to 19.6% in Port arthur.
- The percentage of residents with less than a high school education is higher in Port arthur at 23.7%, compared to 4.5% in Strum.
- A higher percentage of residents in Strum hold a bachelor's degree or higher at 14.5% compared to 7.1% in Port arthur.
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.