Demographics details for Gooding, ID vs Baltimore, MD
Population Overview
Compare main population characteristics in Gooding, ID vs Baltimore, MD.
| Data | Gooding | Baltimore |
|---|---|---|
| Population | 15,715 | 569,931 |
| Median Age | 38.3 years | 36.0 years |
| Median Income | $60,938 | $58,349 |
| Married Families | 40.0% | 23.0% |
| Poverty Level | 8% | 16% |
| Unemployment Rate | 2.9 | 4.3 |
Population Comparison: Gooding vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 15,715 in Gooding.
- Residents in Gooding have a higher median age of 38.3 years compared to 36.0 years in Baltimore.
- Gooding has a higher median income of $60,938 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Gooding at 40.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 8% in Gooding.
- Baltimore has a higher unemployment rate at 4.3% compared to 2.9% in Gooding.
Demographics
Demographics Gooding vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Gooding | Baltimore |
|---|---|---|
| Black | Data is updating | 63 |
| White | 60 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 29 | 6 |
| Two or More Races | 9 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Gooding vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 0% in Gooding.
- Gooding has a higher percentage of White residents at 60% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Gooding.
- The Hispanic community is larger in Gooding at 29% compared to 6% in Baltimore.
- More residents identify as two or more races in Gooding at 9% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Gooding at 2% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gooding | Baltimore |
|---|---|---|
| Mental Health Not Good | 16.4% | 17.9% |
| Physical Health Not Good | 12.8% | 12.3% |
| Depression | 22.7% | 20.2% |
| Smoking | 18.0% | 19.8% |
| Binge Drinking | 15.6% | 15.4% |
| Obesity | 36.9% | 37.1% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Gooding vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.4% in Gooding.
- Depression is more prevalent in Gooding at 22.7% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 18.0% in Gooding.
- Binge drinking is more common in Gooding at 15.6% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 36.9% in Gooding.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 15.0% in Gooding.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gooding | Baltimore |
|---|---|---|
| No Schooling | 0.8% (131) | 1.2% (6,683) |
| High School Diploma | 19.5% (3,066) | 16.8% (95,744) |
| Less than High School | 26.7% (4,203) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 10.1% (1,588) | 25.1% (143,174) |
Education Levels Comparison: Gooding vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Gooding.
- A higher percentage of residents in Gooding hold a high school diploma at 19.5% compared to 16.8% in Baltimore.
- More residents in Gooding have less than a high school education at 26.7% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 10.1% in Gooding.
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.