Demographics details for Pittsburg, CA vs Wright, WY
Population Overview
Compare main population characteristics in Pittsburg, CA vs Wright, WY.
Data | Pittsburg | Wright |
---|---|---|
Population | 77,572 | 1,640 |
Median Age | 35.2 years | 35.8 years |
Median Income | $98,408 | $88,150 |
Married Families | 37.0% | 55.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 5.3 | 2.5 |
Population Comparison: Pittsburg vs Wright
- In Pittsburg, the population is higher at 77,572, compared to 1,640 in Wright.
- The median age in Wright is higher at 35.8 years, compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408 compared to $88,150 in Wright.
- In Wright, the percentage of married families is higher at 55.0%, compared to 37.0% in Pittsburg.
- The poverty level is higher in Wright at 5%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 2.5% in Wright.
Demographics
Demographics Pittsburg vs Wright provide insight into the diversity of the communities to compare.
Demographic | Pittsburg | Wright |
---|---|---|
Black | 15 | 1 |
White | 9 | 74 |
Asian | 18 | 1 |
Hispanic | 43 | 11 |
Two or More Races | 14 | 13 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pittsburg vs Wright
- A higher percentage of Black residents are in Pittsburg at 15% compared to 1% in Wright.
- The percentage of White residents is higher in Wright at 74% compared to 9% in Pittsburg.
- The Asian population is larger in Pittsburg at 18% compared to 1% in Wright.
- The Hispanic community is larger in Pittsburg at 43% compared to 11% in Wright.
- More residents identify as two or more races in Pittsburg at 14% compared to 13% in Wright.
- A greater percentage of American Indian residents live in Pittsburg at 1% compared to 0% in Wright.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pittsburg | Wright |
---|---|---|
Mental Health Not Good | 15.8% | 14.3% |
Physical Health Not Good | 11.8% | 9.7% |
Depression | 16.7% | 18.3% |
Smoking | 12.7% | 16.8% |
Binge Drinking | 15.0% | 19.0% |
Obesity | 28.4% | 34.3% |
Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Pittsburg vs Wright
- More residents in Pittsburg report poor mental health at 15.8% compared to 14.3% in Wright.
- Higher depression rates are seen in Wright at 18.3% versus 16.7% in Pittsburg.
- Wright has a higher smoking rate at 16.8% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Wright at 19.0% compared to 15.0% in Pittsburg.
- Wright has higher obesity rates at 34.3% compared to 28.4% in Pittsburg.
- Disability percentages are higher in Pittsburg at 13.0% compared to 7.0% in Wright.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pittsburg | Wright |
---|---|---|
No Schooling | 3.1% (2,439) | 9.8% (160) |
High School Diploma | 14.5% (11,263) | 20.5% (336) |
Less than High School | 23.3% (18,048) | 20.7% (340) |
Bachelor's Degree and Higher | 14.8% (11,476) | 7.0% (114) |
Education Levels Comparison: Pittsburg vs Wright
- In Wright, a larger percentage of residents lack formal schooling at 9.8% compared to 3.1% in Pittsburg.
- In Wright, the rate of residents with high school diplomas is higher at 20.5% compared to 14.5% in Pittsburg.
- More residents in Pittsburg have less than a high school education at 23.3% compared to 20.7% in Wright.
- A higher percentage of residents in Pittsburg hold a bachelor's degree or higher at 14.8% compared to 7.0% in Wright.
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.