Demographics details for Kaukauna, WI vs Marshall, TX
Population Overview
Compare main population characteristics in Kaukauna, WI vs Marshall, TX.
| Data | Kaukauna | Marshall |
|---|---|---|
| Population | 17,372 | 23,641 |
| Median Age | 38.3 years | 34.1 years |
| Median Income | $74,575 | $49,162 |
| Married Families | 41.0% | 27.0% |
| Poverty Level | 5% | 17% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Kaukauna vs Marshall
- The population in Marshall is higher at 23,641, compared to 17,372 in Kaukauna.
- Residents in Kaukauna have a higher median age of 38.3 years compared to 34.1 years in Marshall.
- Kaukauna has a higher median income of $74,575 compared to $49,162 in Marshall.
- A higher percentage of married families is found in Kaukauna at 41.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 5% in Kaukauna.
- Marshall has a higher unemployment rate at 5.1% compared to 3.5% in Kaukauna.
Demographics
Demographics Kaukauna vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Kaukauna | Marshall |
|---|---|---|
| Black | Data is updating | 40 |
| White | 94 | 28 |
| Asian | 1 | 1 |
| Hispanic | 3 | 20 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaukauna vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 0% in Kaukauna.
- Kaukauna has a higher percentage of White residents at 94% compared to 28% in Marshall.
- Both Kaukauna and Marshall have the same percentage of Asian residents at 1%.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 3% in Kaukauna.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 2% in Kaukauna.
- The percentage of American Indian residents is the same in both Kaukauna and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaukauna | Marshall |
|---|---|---|
| Mental Health Not Good | 14.4% | 19.2% |
| Physical Health Not Good | 9.2% | 13.8% |
| Depression | 21.9% | 22.7% |
| Smoking | 14.7% | 21.0% |
| Binge Drinking | 26.0% | 16.2% |
| Obesity | 32.1% | 42.0% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Kaukauna vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 14.4% in Kaukauna.
- Higher depression rates are seen in Marshall at 22.7% versus 21.9% in Kaukauna.
- Marshall has a higher smoking rate at 21.0% compared to 14.7% in Kaukauna.
- Binge drinking is more common in Kaukauna at 26.0% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 32.1% in Kaukauna.
- There is a higher percentage of disabled individuals in Marshall at 17.0% compared to 13.0% in Kaukauna.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kaukauna | Marshall |
|---|---|---|
| No Schooling | 0.4% (74) | 0.8% (195) |
| High School Diploma | 22.9% (3,984) | 18.7% (4,412) |
| Less than High School | 7.5% (1,306) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 19.0% (3,307) | 13.2% (3,127) |
Education Levels Comparison: Kaukauna vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Kaukauna.
- A higher percentage of residents in Kaukauna hold a high school diploma at 22.9% compared to 18.7% in Marshall.
- The percentage of residents with less than a high school education is higher in Marshall at 10.7%, compared to 7.5% in Kaukauna.
- A higher percentage of residents in Kaukauna hold a bachelor's degree or higher at 19.0% compared to 13.2% in Marshall.
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.