Demographics details for Cambridge, MD vs Piggott, AR
Population Overview
Compare main population characteristics in Cambridge, MD vs Piggott, AR.
| Data | Cambridge | Piggott |
|---|---|---|
| Population | 13,129 | 3,545 |
| Median Age | 37.3 years | 37.6 years |
| Median Income | $44,114 | $43,255 |
| Married Families | 27.0% | 35.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Cambridge vs Piggott
- In Cambridge, the population is higher at 13,129, compared to 3,545 in Piggott.
- The median age in Piggott is higher at 37.6 years, compared to 37.3 years in Cambridge.
- Cambridge has a higher median income of $44,114 compared to $43,255 in Piggott.
- In Piggott, the percentage of married families is higher at 35.0%, compared to 27.0% in Cambridge.
- The poverty level is higher in Piggott at 15%, compared to 11% in Cambridge.
- The unemployment rate in Cambridge is higher at 5.2%, compared to 3.5% in Piggott.
Demographics
Demographics Cambridge vs Piggott provide insight into the diversity of the communities to compare.
| Demographic | Cambridge | Piggott |
|---|---|---|
| Black | 44 | Data is updating |
| White | 35 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | 1 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cambridge vs Piggott
- A higher percentage of Black residents are in Cambridge at 44% compared to 0% in Piggott.
- The percentage of White residents is higher in Piggott at 96% compared to 35% in Cambridge.
- The Asian population is larger in Cambridge at 2% compared to 0% in Piggott.
- The Hispanic community is larger in Cambridge at 8% compared to 1% in Piggott.
- More residents identify as two or more races in Cambridge at 11% compared to 2% in Piggott.
- In Piggott, the percentage of American Indian residents is higher at 1%, compared to 0% in Cambridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cambridge | Piggott |
|---|---|---|
| Mental Health Not Good | 18.2% | 20.7% |
| Physical Health Not Good | 13.2% | 14.7% |
| Depression | 20.3% | 29.5% |
| Smoking | 20.9% | 23.9% |
| Binge Drinking | 12.6% | 15.0% |
| Obesity | 42.2% | 39.2% |
| Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Cambridge vs Piggott
- In Piggott, a higher percentage report poor mental health at 20.7% compared to 18.2% in Cambridge.
- Higher depression rates are seen in Piggott at 29.5% versus 20.3% in Cambridge.
- Piggott has a higher smoking rate at 23.9% compared to 20.9% in Cambridge.
- More residents engage in binge drinking in Piggott at 15.0% compared to 12.6% in Cambridge.
- Obesity rates are higher in Cambridge at 42.2% compared to 39.2% in Piggott.
- Disability percentages are higher in Cambridge at 18.0% compared to 16.0% in Piggott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cambridge | Piggott |
|---|---|---|
| No Schooling | 0.9% (120) | 0.4% (14) |
| High School Diploma | 22.1% (2,903) | 21.0% (746) |
| Less than High School | 11.2% (1,477) | 11.9% (423) |
| Bachelor's Degree and Higher | 13.6% (1,783) | 11.7% (414) |
Education Levels Comparison: Cambridge vs Piggott
- A higher percentage of residents in Cambridge have no formal schooling at 0.9% compared to 0.4% in Piggott.
- A higher percentage of residents in Cambridge hold a high school diploma at 22.1% compared to 21.0% in Piggott.
- The percentage of residents with less than a high school education is higher in Piggott at 11.9%, compared to 11.2% in Cambridge.
- A higher percentage of residents in Cambridge hold a bachelor's degree or higher at 13.6% compared to 11.7% in Piggott.
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.