Demographics details for Upland, CA vs Montgomery village, MD
Population Overview
Compare main population characteristics in Upland, CA vs Montgomery village, MD.
Data | Upland | Montgomery village |
---|---|---|
Population | 78,841 | 34,748 |
Median Age | 37.1 years | 36.8 years |
Median Income | $93,994 | $91,703 |
Married Families | 38.0% | 38.0% |
Poverty Level | 9% | 7% |
Unemployment Rate | 4.4 | 4.2 |
Population Comparison: Upland vs Montgomery village
- In Upland, the population is higher at 78,841, compared to 34,748 in Montgomery village.
- Residents in Upland have a higher median age of 37.1 years compared to 36.8 years in Montgomery village.
- Upland has a higher median income of $93,994 compared to $91,703 in Montgomery village.
- The percentage of married families is the same in both Upland and Montgomery village at 38.0%.
- Upland has a higher poverty level at 9% compared to 7% in Montgomery village.
- The unemployment rate in Upland is higher at 4.4%, compared to 4.2% in Montgomery village.
Demographics
Demographics Upland vs Montgomery village provide insight into the diversity of the communities to compare.
Demographic | Upland | Montgomery village |
---|---|---|
Black | 7 | 23 |
White | 22 | 19 |
Asian | 10 | 13 |
Hispanic | 44 | 35 |
Two or More Races | 16 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Upland vs Montgomery village
- In Montgomery village, the percentage of Black residents is higher at 23% compared to 7% in Upland.
- Upland has a higher percentage of White residents at 22% compared to 19% in Montgomery village.
- In Montgomery village, the Asian population stands at 13%, greater than 10% in Upland.
- The Hispanic community is larger in Upland at 44% compared to 35% in Montgomery village.
- More residents identify as two or more races in Upland at 16% compared to 10% in Montgomery village.
- A greater percentage of American Indian residents live in Upland at 1% compared to 0% in Montgomery village.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Upland | Montgomery village |
---|---|---|
Mental Health Not Good | 15.5% | 14.5% |
Physical Health Not Good | 10.4% | 9.0% |
Depression | 17.8% | 18.9% |
Smoking | 10.8% | 11.3% |
Binge Drinking | 16.3% | 12.1% |
Obesity | 34.9% | 27.8% |
Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Upland vs Montgomery village
- More residents in Upland report poor mental health at 15.5% compared to 14.5% in Montgomery village.
- Higher depression rates are seen in Montgomery village at 18.9% versus 17.8% in Upland.
- Montgomery village has a higher smoking rate at 11.3% compared to 10.8% in Upland.
- Binge drinking is more common in Upland at 16.3% compared to 12.1% in Montgomery village.
- Obesity rates are higher in Upland at 34.9% compared to 27.8% in Montgomery village.
- Disability percentages are higher in Upland at 12.0% compared to 10.0% in Montgomery village.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Upland | Montgomery village |
---|---|---|
No Schooling | 1.3% (1,036) | 2.7% (955) |
High School Diploma | 14.1% (11,080) | 12.2% (4,244) |
Less than High School | 12.3% (9,718) | 14.3% (4,958) |
Bachelor's Degree and Higher | 23.2% (18,252) | 28.9% (10,032) |
Education Levels Comparison: Upland vs Montgomery village
- In Montgomery village, a larger percentage of residents lack formal schooling at 2.7% compared to 1.3% in Upland.
- A higher percentage of residents in Upland hold a high school diploma at 14.1% compared to 12.2% in Montgomery village.
- The percentage of residents with less than a high school education is higher in Montgomery village at 14.3%, compared to 12.3% in Upland.
- In Montgomery village, a larger share of residents have a bachelor's degree or higher at 28.9% compared to 23.2% in Upland.
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.