Demographics details for Princeton, LA vs Mesa, AZ
Population Overview
Compare main population characteristics in Princeton, LA vs Mesa, AZ.
| Data | Princeton | Mesa |
|---|---|---|
| Population | 1,554 | 512,498 |
| Median Age | 36.0 years | 36.8 years |
| Median Income | $48,500 | $73,766 |
| Married Families | 52.0% | 38.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Princeton vs Mesa
- The population in Mesa is higher at 512,498, compared to 1,554 in Princeton.
- The median age in Mesa is higher at 36.8 years, compared to 36.0 years in Princeton.
- Mesa has a higher median income of $73,766, compared to $48,500 in Princeton.
- A higher percentage of married families is found in Princeton at 52.0% compared to 38.0% in Mesa.
- Princeton has a higher poverty level at 15% compared to 11% in Mesa.
- The unemployment rate in Princeton is higher at 6.0%, compared to 3.5% in Mesa.
Demographics
Demographics Princeton vs Mesa provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Mesa |
|---|---|---|
| Black | 50 | 5 |
| White | 48 | 52 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 27 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Princeton vs Mesa
- A higher percentage of Black residents are in Princeton at 50% compared to 5% in Mesa.
- The percentage of White residents is higher in Mesa at 52% compared to 48% in Princeton.
- In Mesa, the Asian population stands at 2%, greater than 0% in Princeton.
- Mesa has a higher percentage of Hispanic residents at 27%, compared to 2% in Princeton.
- The percentage of residents identifying as two or more races is higher in Mesa at 12%, compared to 0% in Princeton.
- In Mesa, the percentage of American Indian residents is higher at 2%, compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Mesa |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.8% |
| Physical Health Not Good | Data is updating% | 11.2% |
| Depression | Data is updating% | 20.4% |
| Smoking | Data is updating% | 15.8% |
| Binge Drinking | Data is updating% | 17.8% |
| Obesity | Data is updating% | 31.6% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Princeton vs Mesa
- In Mesa, a higher percentage report poor mental health at 17.8% compared to 0.0% in Princeton.
- Higher depression rates are seen in Mesa at 20.4% versus 0.0% in Princeton.
- Mesa has a higher smoking rate at 15.8% compared to 0.0% in Princeton.
- More residents engage in binge drinking in Mesa at 17.8% compared to 0.0% in Princeton.
- Mesa has higher obesity rates at 31.6% compared to 0.0% in Princeton.
- There is a higher percentage of disabled individuals in Mesa at 12.0% compared to 0.0% in Princeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Princeton | Mesa |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (6,008) |
| High School Diploma | 0.0% (Data is updating) | 13.8% (70,489) |
| Less than High School | 0.0% (Data is updating) | 11.9% (60,898) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.9% (102,124) |
Education Levels Comparison: Princeton vs Mesa
- In Mesa, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Princeton.
- In Mesa, the rate of residents with high school diplomas is higher at 13.8% compared to 0.0% in Princeton.
- The percentage of residents with less than a high school education is higher in Mesa at 11.9%, compared to 0.0% in Princeton.
- In Mesa, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 0.0% in Princeton.
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.