Demographics details for Marshall, CA vs Irving, TX
Population Overview
Compare main population characteristics in Marshall, CA vs Irving, TX.
Data | Marshall | Irving |
---|---|---|
Population | 533 | 254,715 |
Median Age | 42.0 years | 32.4 years |
Median Income | $90,000 | $76,686 |
Married Families | 60.0% | 39.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.0 | 3.9 |
Population Comparison: Marshall vs Irving
- The population in Irving is higher at 254,715, compared to 533 in Marshall.
- Residents in Marshall have a higher median age of 42.0 years compared to 32.4 years in Irving.
- Marshall has a higher median income of $90,000 compared to $76,686 in Irving.
- A higher percentage of married families is found in Marshall at 60.0% compared to 39.0% in Irving.
- The poverty level is higher in Irving at 12%, compared to 5% in Marshall.
- Irving has a higher unemployment rate at 3.9% compared to 3.0% in Marshall.
Demographics
Demographics Marshall vs Irving provide insight into the diversity of the communities to compare.
Demographic | Marshall | Irving |
---|---|---|
Black | Data is updating | 13 |
White | 90 | 11 |
Asian | 2 | 22 |
Hispanic | 5 | 43 |
Two or More Races | 3 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Irving
- In Irving, the percentage of Black residents is higher at 13% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 90% compared to 11% in Irving.
- In Irving, the Asian population stands at 22%, greater than 2% in Marshall.
- Irving has a higher percentage of Hispanic residents at 43%, compared to 5% in Marshall.
- The percentage of residents identifying as two or more races is higher in Irving at 11%, compared to 3% in Marshall.
- The percentage of American Indian residents is the same in both Marshall and Irving at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Irving |
---|---|---|
Mental Health Not Good | Data is updating% | 15.9% |
Physical Health Not Good | Data is updating% | 11.6% |
Depression | Data is updating% | 21.0% |
Smoking | Data is updating% | 15.4% |
Binge Drinking | Data is updating% | 17.4% |
Obesity | Data is updating% | 32.4% |
Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Marshall vs Irving
- In Irving, a higher percentage report poor mental health at 15.9% compared to 0.0% in Marshall.
- Higher depression rates are seen in Irving at 21.0% versus 0.0% in Marshall.
- Irving has a higher smoking rate at 15.4% compared to 0.0% in Marshall.
- More residents engage in binge drinking in Irving at 17.4% compared to 0.0% in Marshall.
- Irving has higher obesity rates at 32.4% compared to 0.0% in Marshall.
- There is a higher percentage of disabled individuals in Irving at 7.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Irving |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.8% (4,699) |
High School Diploma | 0.0% (Data is updating) | 10.3% (26,322) |
Less than High School | 0.0% (Data is updating) | 24.8% (63,108) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.1% (66,363) |
Education Levels Comparison: Marshall vs Irving
- In Irving, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Marshall.
- In Irving, the rate of residents with high school diplomas is higher at 10.3% compared to 0.0% in Marshall.
- The percentage of residents with less than a high school education is higher in Irving at 24.8%, compared to 0.0% in Marshall.
- In Irving, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 0.0% 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.