Demographics details for Reading, PA vs Golden city, MO
Population Overview
Compare main population characteristics in Reading, PA vs Golden city, MO.
| Data | Reading | Golden city |
|---|---|---|
| Population | 94,858 | 654 |
| Median Age | 31.1 years | 55.0 years |
| Median Income | $42,852 | $37,679 |
| Married Families | 22.0% | 37.0% |
| Poverty Level | 25% | 10% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Reading vs Golden city
- In Reading, the population is higher at 94,858, compared to 654 in Golden city.
- The median age in Golden city is higher at 55.0 years, compared to 31.1 years in Reading.
- Reading has a higher median income of $42,852 compared to $37,679 in Golden city.
- In Golden city, the percentage of married families is higher at 37.0%, compared to 22.0% in Reading.
- Reading has a higher poverty level at 25% compared to 10% in Golden city.
- The unemployment rate in Reading is higher at 5.2%, compared to 3.5% in Golden city.
Demographics
Demographics Reading vs Golden city provide insight into the diversity of the communities to compare.
| Demographic | Reading | Golden city |
|---|---|---|
| Black | 11 | Data is updating |
| White | 60 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 67 | 3 |
| Two or More Races | 21 | 6 |
| American Indian | 1 | 2 |
Demographics Comparison: Reading vs Golden city
- A higher percentage of Black residents are in Reading at 11% compared to 0% in Golden city.
- The percentage of White residents is higher in Golden city at 89% compared to 60% in Reading.
- The Asian population is larger in Reading at 1% compared to 0% in Golden city.
- The Hispanic community is larger in Reading at 67% compared to 3% in Golden city.
- More residents identify as two or more races in Reading at 21% compared to 6% in Golden city.
- In Golden city, the percentage of American Indian residents is higher at 2%, compared to 1% in Reading.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Reading | Golden city |
|---|---|---|
| Mental Health Not Good | 19.7% | 18.3% |
| Physical Health Not Good | 18.1% | 13.3% |
| Depression | 23.1% | 25.1% |
| Smoking | 26.5% | 22.9% |
| Binge Drinking | 13.0% | 18.0% |
| Obesity | 44.7% | 40.9% |
| Disability Percentage | 20.0% | 24.0% |
Health Statistics Comparison: Reading vs Golden city
- More residents in Reading report poor mental health at 19.7% compared to 18.3% in Golden city.
- Higher depression rates are seen in Golden city at 25.1% versus 23.1% in Reading.
- Smoking is more prevalent in Reading at 26.5% compared to 22.9% in Golden city.
- More residents engage in binge drinking in Golden city at 18.0% compared to 13.0% in Reading.
- Obesity rates are higher in Reading at 44.7% compared to 40.9% in Golden city.
- There is a higher percentage of disabled individuals in Golden city at 24.0% compared to 20.0% in Reading.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Reading | Golden city |
|---|---|---|
| No Schooling | 2.6% (2,442) | 2.6% (17) |
| High School Diploma | 17.8% (16,896) | 30.6% (200) |
| Less than High School | 32.2% (30,522) | 17.6% (115) |
| Bachelor's Degree and Higher | 6.9% (6,512) | 12.8% (84) |
Education Levels Comparison: Reading vs Golden city
- The percentage of residents with no formal schooling is the same in both Reading and Golden city at 2.6%.
- In Golden city, the rate of residents with high school diplomas is higher at 30.6% compared to 17.8% in Reading.
- More residents in Reading have less than a high school education at 32.2% compared to 17.6% in Golden city.
- In Golden city, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 6.9% in Reading.
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.