Demographics details for Oakland, CA vs Marshall, TX
Population Overview
Compare main population characteristics in Oakland, CA vs Marshall, TX.
| Data | Oakland | Marshall |
|---|---|---|
| Population | 430,553 | 23,641 |
| Median Age | 37.5 years | 34.1 years |
| Median Income | $94,389 | $49,162 |
| Married Families | 34.0% | 27.0% |
| Poverty Level | 13% | 17% |
| Unemployment Rate | 5.0 | 5.1 |
Population Comparison: Oakland vs Marshall
- In Oakland, the population is higher at 430,553, compared to 23,641 in Marshall.
- Residents in Oakland have a higher median age of 37.5 years compared to 34.1 years in Marshall.
- Oakland has a higher median income of $94,389 compared to $49,162 in Marshall.
- A higher percentage of married families is found in Oakland at 34.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 13% in Oakland.
- Marshall has a higher unemployment rate at 5.1% compared to 5.0% in Oakland.
Demographics
Demographics Oakland vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Oakland | Marshall |
|---|---|---|
| Black | 22 | 40 |
| White | 24 | 28 |
| Asian | 16 | 1 |
| Hispanic | 27 | 20 |
| Two or More Races | 10 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oakland vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 22% in Oakland.
- The percentage of White residents is higher in Marshall at 28% compared to 24% in Oakland.
- The Asian population is larger in Oakland at 16% compared to 1% in Marshall.
- The Hispanic community is larger in Oakland at 27% compared to 20% in Marshall.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 10% in Oakland.
- A greater percentage of American Indian residents live in Oakland at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oakland | Marshall |
|---|---|---|
| Mental Health Not Good | 16.2% | 19.2% |
| Physical Health Not Good | 10.8% | 13.8% |
| Depression | 17.8% | 22.7% |
| Smoking | 12.0% | 21.0% |
| Binge Drinking | 14.7% | 16.2% |
| Obesity | 30.5% | 42.0% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Oakland vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 16.2% in Oakland.
- Higher depression rates are seen in Marshall at 22.7% versus 17.8% in Oakland.
- Marshall has a higher smoking rate at 21.0% compared to 12.0% in Oakland.
- More residents engage in binge drinking in Marshall at 16.2% compared to 14.7% in Oakland.
- Marshall has higher obesity rates at 42.0% compared to 30.5% in Oakland.
- There is a higher percentage of disabled individuals in Marshall at 17.0% compared to 11.0% in Oakland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oakland | Marshall |
|---|---|---|
| No Schooling | 3.1% (13,479) | 0.8% (195) |
| High School Diploma | 10.9% (46,896) | 18.7% (4,412) |
| Less than High School | 17.1% (73,435) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 36.3% (156,333) | 13.2% (3,127) |
Education Levels Comparison: Oakland vs Marshall
- A higher percentage of residents in Oakland have no formal schooling at 3.1% compared to 0.8% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 10.9% in Oakland.
- More residents in Oakland have less than a high school education at 17.1% compared to 10.7% in Marshall.
- A higher percentage of residents in Oakland hold a bachelor's degree or higher at 36.3% 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.