Demographics details for Rocky ford, CO vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Rocky ford, CO vs Pittsburgh, PA.
| Data | Rocky ford | Pittsburgh |
|---|---|---|
| Population | 3,800 | 302,898 |
| Median Age | 33.0 years | 33.5 years |
| Median Income | $31,418 | $60,187 |
| Married Families | 29.0% | 26.0% |
| Poverty Level | 16% | 15% |
| Unemployment Rate | 5.4 | 3.4 |
Population Comparison: Rocky ford vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 3,800 in Rocky ford.
- The median age in Pittsburgh is higher at 33.5 years, compared to 33.0 years in Rocky ford.
- Pittsburgh has a higher median income of $60,187, compared to $31,418 in Rocky ford.
- A higher percentage of married families is found in Rocky ford at 29.0% compared to 26.0% in Pittsburgh.
- Rocky ford has a higher poverty level at 16% compared to 15% in Pittsburgh.
- The unemployment rate in Rocky ford is higher at 5.4%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Rocky ford vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Rocky ford | Pittsburgh |
|---|---|---|
| Black | Data is updating | 23 |
| White | 14 | 62 |
| Asian | 2 | 6 |
| Hispanic | 64 | 4 |
| Two or More Races | 20 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rocky ford vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 0% in Rocky ford.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 14% in Rocky ford.
- In Pittsburgh, the Asian population stands at 6%, greater than 2% in Rocky ford.
- The Hispanic community is larger in Rocky ford at 64% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Rocky ford at 20% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Rocky ford and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rocky ford | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.3% |
| Physical Health Not Good | 17.3% | 11.7% |
| Depression | 23.7% | 21.1% |
| Smoking | 22.7% | 18.8% |
| Binge Drinking | 15.0% | 19.3% |
| Obesity | 37.5% | 35.0% |
| Disability Percentage | 25.0% | 14.0% |
Health Statistics Comparison: Rocky ford vs Pittsburgh
- More residents in Rocky ford report poor mental health at 19.8% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Rocky ford at 23.7% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Rocky ford at 22.7% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 15.0% in Rocky ford.
- Obesity rates are higher in Rocky ford at 37.5% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Rocky ford at 25.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rocky ford | Pittsburgh |
|---|---|---|
| No Schooling | 1.5% (57) | 0.6% (1,955) |
| High School Diploma | 19.3% (734) | 13.9% (42,015) |
| Less than High School | 16.3% (619) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 5.7% (215) | 32.1% (97,219) |
Education Levels Comparison: Rocky ford vs Pittsburgh
- A higher percentage of residents in Rocky ford have no formal schooling at 1.5% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Rocky ford hold a high school diploma at 19.3% compared to 13.9% in Pittsburgh.
- More residents in Rocky ford have less than a high school education at 16.3% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 5.7% in Rocky ford.
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.