Demographics details for Penn valley, CA vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Penn valley, CA vs Oklahoma city, OK.
Data | Penn valley | Oklahoma city |
---|---|---|
Population | 1,188 | 694,800 |
Median Age | 55.7 years | 34.9 years |
Median Income | $65,882 | $64,251 |
Married Families | 60.0% | 36.0% |
Poverty Level | 8% | 13% |
Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Penn valley vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 1,188 in Penn valley.
- Residents in Penn valley have a higher median age of 55.7 years compared to 34.9 years in Oklahoma city.
- Penn valley has a higher median income of $65,882 compared to $64,251 in Oklahoma city.
- A higher percentage of married families is found in Penn valley at 60.0% compared to 36.0% in Oklahoma city.
- The poverty level is higher in Oklahoma city at 13%, compared to 8% in Penn valley.
- The unemployment rate in Penn valley is higher at 5.1%, compared to 3.5% in Oklahoma city.
Demographics
Demographics Penn valley vs Oklahoma city provide insight into the diversity of the communities to compare.
Demographic | Penn valley | Oklahoma city |
---|---|---|
Black | Data is updating | 13 |
White | 86 | 48 |
Asian | Data is updating | 4 |
Hispanic | 7 | 20 |
Two or More Races | 7 | 12 |
American Indian | Data is updating | 3 |
Demographics Comparison: Penn valley vs Oklahoma city
- In Oklahoma city, the percentage of Black residents is higher at 13% compared to 0% in Penn valley.
- Penn valley has a higher percentage of White residents at 86% compared to 48% in Oklahoma city.
- In Oklahoma city, the Asian population stands at 4%, greater than 0% in Penn valley.
- Oklahoma city has a higher percentage of Hispanic residents at 20%, compared to 7% in Penn valley.
- The percentage of residents identifying as two or more races is higher in Oklahoma city at 12%, compared to 7% in Penn valley.
- In Oklahoma city, the percentage of American Indian residents is higher at 3%, compared to 0% in Penn valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Penn valley | Oklahoma city |
---|---|---|
Mental Health Not Good | 18.4% | 18.1% |
Physical Health Not Good | 11.8% | 12.3% |
Depression | 22.9% | 24.8% |
Smoking | 14.8% | 18.2% |
Binge Drinking | 17.9% | 13.1% |
Obesity | 29.5% | 38.0% |
Disability Percentage | 30.0% | 12.0% |
Health Statistics Comparison: Penn valley vs Oklahoma city
- More residents in Penn valley report poor mental health at 18.4% compared to 18.1% in Oklahoma city.
- Higher depression rates are seen in Oklahoma city at 24.8% versus 22.9% in Penn valley.
- Oklahoma city has a higher smoking rate at 18.2% compared to 14.8% in Penn valley.
- Binge drinking is more common in Penn valley at 17.9% compared to 13.1% in Oklahoma city.
- Oklahoma city has higher obesity rates at 38.0% compared to 29.5% in Penn valley.
- Disability percentages are higher in Penn valley at 30.0% compared to 12.0% in Oklahoma city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Penn valley | Oklahoma city |
---|---|---|
No Schooling | 4.9% (58) | 1.3% (9,023) |
High School Diploma | 21.6% (257) | 13.0% (90,670) |
Less than High School | 8.2% (98) | 14.0% (97,428) |
Bachelor's Degree and Higher | 12.3% (146) | 21.3% (148,128) |
Education Levels Comparison: Penn valley vs Oklahoma city
- A higher percentage of residents in Penn valley have no formal schooling at 4.9% compared to 1.3% in Oklahoma city.
- A higher percentage of residents in Penn valley hold a high school diploma at 21.6% compared to 13.0% in Oklahoma city.
- The percentage of residents with less than a high school education is higher in Oklahoma city at 14.0%, compared to 8.2% in Penn valley.
- In Oklahoma city, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 12.3% in Penn valley.
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.