Demographics details for Gooding, ID vs Manchester, NH
Population Overview
Compare main population characteristics in Gooding, ID vs Manchester, NH.
| Data | Gooding | Manchester |
|---|---|---|
| Population | 15,715 | 115,141 |
| Median Age | 38.3 years | 37.0 years |
| Median Income | $60,938 | $74,040 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 2.9 | 2.6 |
Population Comparison: Gooding vs Manchester
- The population in Manchester is higher at 115,141, compared to 15,715 in Gooding.
- Residents in Gooding have a higher median age of 38.3 years compared to 37.0 years in Manchester.
- Manchester has a higher median income of $74,040, compared to $60,938 in Gooding.
- A higher percentage of married families is found in Gooding at 40.0% compared to 34.0% in Manchester.
- The poverty level is higher in Manchester at 10%, compared to 8% in Gooding.
- The unemployment rate in Gooding is higher at 2.9%, compared to 2.6% in Manchester.
Demographics
Demographics Gooding vs Manchester provide insight into the diversity of the communities to compare.
| Demographic | Gooding | Manchester |
|---|---|---|
| Black | Data is updating | 6 |
| White | 60 | 68 |
| Asian | Data is updating | 5 |
| Hispanic | 29 | 12 |
| Two or More Races | 9 | 9 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Gooding vs Manchester
- In Manchester, the percentage of Black residents is higher at 6% compared to 0% in Gooding.
- The percentage of White residents is higher in Manchester at 68% compared to 60% in Gooding.
- In Manchester, the Asian population stands at 5%, greater than 0% in Gooding.
- The Hispanic community is larger in Gooding at 29% compared to 12% in Manchester.
- Both Gooding and Manchester have the same percentage of residents identifying as two or more races at 9%.
- A greater percentage of American Indian residents live in Gooding at 2% compared to 0% in Manchester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gooding | Manchester |
|---|---|---|
| Mental Health Not Good | 16.4% | 16.4% |
| Physical Health Not Good | 12.8% | 10.5% |
| Depression | 22.7% | 24.5% |
| Smoking | 18.0% | 17.3% |
| Binge Drinking | 15.6% | 14.6% |
| Obesity | 36.9% | 35.9% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Gooding vs Manchester
- Poor mental health levels are equal in both Gooding and Manchester at 16.4%.
- Higher depression rates are seen in Manchester at 24.5% versus 22.7% in Gooding.
- Smoking is more prevalent in Gooding at 18.0% compared to 17.3% in Manchester.
- Binge drinking is more common in Gooding at 15.6% compared to 14.6% in Manchester.
- Obesity rates are higher in Gooding at 36.9% compared to 35.9% in Manchester.
- Disability percentages are higher in Gooding at 15.0% compared to 14.0% in Manchester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gooding | Manchester |
|---|---|---|
| No Schooling | 0.8% (131) | 1.1% (1,316) |
| High School Diploma | 19.5% (3,066) | 17.0% (19,519) |
| Less than High School | 26.7% (4,203) | 15.1% (17,348) |
| Bachelor's Degree and Higher | 10.1% (1,588) | 23.1% (26,548) |
Education Levels Comparison: Gooding vs Manchester
- In Manchester, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Gooding.
- A higher percentage of residents in Gooding hold a high school diploma at 19.5% compared to 17.0% in Manchester.
- More residents in Gooding have less than a high school education at 26.7% compared to 15.1% in Manchester.
- In Manchester, a larger share of residents have a bachelor's degree or higher at 23.1% 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.