Demographics details for Visalia, CA vs Montgomery, AL
Population Overview
Compare main population characteristics in Visalia, CA vs Montgomery, AL.
Data | Visalia | Montgomery |
---|---|---|
Population | 143,966 | 196,986 |
Median Age | 33.0 years | 36.1 years |
Median Income | $75,658 | $54,166 |
Married Families | 36.0% | 28.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 5.9 | 3.2 |
Population Comparison: Visalia vs Montgomery
- The population in Montgomery is higher at 196,986, compared to 143,966 in Visalia.
- The median age in Montgomery is higher at 36.1 years, compared to 33.0 years in Visalia.
- Visalia has a higher median income of $75,658 compared to $54,166 in Montgomery.
- A higher percentage of married families is found in Visalia at 36.0% compared to 28.0% in Montgomery.
- The poverty level is identical in both Visalia and Montgomery at 15%.
- The unemployment rate in Visalia is higher at 5.9%, compared to 3.2% in Montgomery.
Demographics
Demographics Visalia vs Montgomery provide insight into the diversity of the communities to compare.
Demographic | Visalia | Montgomery |
---|---|---|
Black | 3 | 64 |
White | 23 | 25 |
Asian | 6 | 4 |
Hispanic | 52 | 4 |
Two or More Races | 15 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Visalia vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 64% compared to 3% in Visalia.
- The percentage of White residents is higher in Montgomery at 25% compared to 23% in Visalia.
- The Asian population is larger in Visalia at 6% compared to 4% in Montgomery.
- The Hispanic community is larger in Visalia at 52% compared to 4% in Montgomery.
- More residents identify as two or more races in Visalia at 15% compared to 3% in Montgomery.
- A greater percentage of American Indian residents live in Visalia at 1% compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Visalia | Montgomery |
---|---|---|
Mental Health Not Good | 16.8% | 18.8% |
Physical Health Not Good | 12.4% | 13.3% |
Depression | 19.5% | 20.2% |
Smoking | 13.1% | 18.9% |
Binge Drinking | 15.8% | 14.2% |
Obesity | 32.1% | 38.4% |
Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Visalia vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 18.8% compared to 16.8% in Visalia.
- Higher depression rates are seen in Montgomery at 20.2% versus 19.5% in Visalia.
- Montgomery has a higher smoking rate at 18.9% compared to 13.1% in Visalia.
- Binge drinking is more common in Visalia at 15.8% compared to 14.2% in Montgomery.
- Montgomery has higher obesity rates at 38.4% compared to 32.1% in Visalia.
- There is a higher percentage of disabled individuals in Montgomery at 17.0% compared to 11.0% in Visalia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Visalia | Montgomery |
---|---|---|
No Schooling | 2.1% (3,059) | 0.8% (1,627) |
High School Diploma | 13.0% (18,661) | 14.0% (27,586) |
Less than High School | 16.2% (23,267) | 10.0% (19,602) |
Bachelor's Degree and Higher | 14.4% (20,707) | 22.1% (43,498) |
Education Levels Comparison: Visalia vs Montgomery
- A higher percentage of residents in Visalia have no formal schooling at 2.1% compared to 0.8% in Montgomery.
- In Montgomery, the rate of residents with high school diplomas is higher at 14.0% compared to 13.0% in Visalia.
- More residents in Visalia have less than a high school education at 16.2% compared to 10.0% in Montgomery.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 14.4% in Visalia.
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.