Demographics details for Shepherd, MT vs Manteca, CA
Population Overview
Compare main population characteristics in Shepherd, MT vs Manteca, CA.
| Data | Shepherd | Manteca |
|---|---|---|
| Population | 772 | 86,928 |
| Median Age | 40.5 years | 37.0 years |
| Median Income | $125,179 | $89,966 |
| Married Families | 47.0% | 38.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.5 | 5.7 |
Population Comparison: Shepherd vs Manteca
- The population in Manteca is higher at 86,928, compared to 772 in Shepherd.
- Residents in Shepherd have a higher median age of 40.5 years compared to 37.0 years in Manteca.
- Shepherd has a higher median income of $125,179 compared to $89,966 in Manteca.
- A higher percentage of married families is found in Shepherd at 47.0% compared to 38.0% in Manteca.
- The poverty level is higher in Manteca at 10%, compared to 5% in Shepherd.
- Manteca has a higher unemployment rate at 5.7% compared to 2.5% in Shepherd.
Demographics
Demographics Shepherd vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Shepherd | Manteca |
|---|---|---|
| Black | Data is updating | 3 |
| White | 86 | 26 |
| Asian | Data is updating | 14 |
| Hispanic | Data is updating | 39 |
| Two or More Races | Data is updating | 17 |
| American Indian | 14 | 1 |
Demographics Comparison: Shepherd vs Manteca
- In Manteca, the percentage of Black residents is higher at 3% compared to 0% in Shepherd.
- Shepherd has a higher percentage of White residents at 86% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 0% in Shepherd.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 0% in Shepherd.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 0% in Shepherd.
- A greater percentage of American Indian residents live in Shepherd at 14% compared to 1% in Manteca.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shepherd | Manteca |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.6% |
| Physical Health Not Good | 11.2% | 11.8% |
| Depression | 28.0% | 18.2% |
| Smoking | 16.7% | 13.8% |
| Binge Drinking | 23.7% | 16.6% |
| Obesity | 33.2% | 34.1% |
| Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Shepherd vs Manteca
- More residents in Shepherd report poor mental health at 16.7% compared to 16.6% in Manteca.
- Depression is more prevalent in Shepherd at 28.0% compared to 18.2% in Manteca.
- Smoking is more prevalent in Shepherd at 16.7% compared to 13.8% in Manteca.
- Binge drinking is more common in Shepherd at 23.7% compared to 16.6% in Manteca.
- Manteca has higher obesity rates at 34.1% compared to 33.2% in Shepherd.
- There is a higher percentage of disabled individuals in Manteca at 12.0% compared to 6.0% in Shepherd.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shepherd | Manteca |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (1,490) |
| High School Diploma | 16.2% (125) | 17.0% (14,775) |
| Less than High School | 8.0% (62) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 17.9% (138) | 12.4% (10,753) |
Education Levels Comparison: Shepherd vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Shepherd.
- In Manteca, the rate of residents with high school diplomas is higher at 17.0% compared to 16.2% in Shepherd.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 8.0% in Shepherd.
- A higher percentage of residents in Shepherd hold a bachelor's degree or higher at 17.9% compared to 12.4% in Manteca.
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.