Demographics details for Shafter, CA vs Montgomery village, MD

Population Overview

Compare main population characteristics in Shafter, CA vs Montgomery village, MD.

Data Shafter Montgomery village
Population 21,282 34,748
Median Age 27.4 years 36.8 years
Median Income $66,418 $91,703
Married Families 31.0% 38.0%
Poverty Level 20% 7%
Unemployment Rate 5.1 4.2

Population Comparison: Shafter vs Montgomery village

  • The population in Montgomery village is higher at 34,748, compared to 21,282 in Shafter.
  • The median age in Montgomery village is higher at 36.8 years, compared to 27.4 years in Shafter.
  • Montgomery village has a higher median income of $91,703, compared to $66,418 in Shafter.
  • In Montgomery village, the percentage of married families is higher at 38.0%, compared to 31.0% in Shafter.
  • Shafter has a higher poverty level at 20% compared to 7% in Montgomery village.
  • The unemployment rate in Shafter is higher at 5.1%, compared to 4.2% in Montgomery village.

Demographics

Demographics Shafter vs Montgomery village provide insight into the diversity of the communities to compare.

Demographic Shafter Montgomery village
Black 2 23
White -9 19
Asian 1 13
Hispanic 78 35
Two or More Races 27 10
American Indian 1 Data is updating

Demographics Comparison: Shafter vs Montgomery village

  • In Montgomery village, the percentage of Black residents is higher at 23% compared to 2% in Shafter.
  • The percentage of White residents is higher in Montgomery village at 19% compared to -9% in Shafter.
  • In Montgomery village, the Asian population stands at 13%, greater than 1% in Shafter.
  • The Hispanic community is larger in Shafter at 78% compared to 35% in Montgomery village.
  • More residents identify as two or more races in Shafter at 27% compared to 10% in Montgomery village.
  • A greater percentage of American Indian residents live in Shafter at 1% compared to 0% in Montgomery village.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Shafter Montgomery village
Mental Health Not Good 18.8% 14.5%
Physical Health Not Good 16.6% 9.0%
Depression 19.7% 18.9%
Smoking 18.3% 11.3%
Binge Drinking 14.9% 12.1%
Obesity 39.4% 27.8%
Disability Percentage 6.0% 10.0%

Health Statistics Comparison: Shafter vs Montgomery village

  • More residents in Shafter report poor mental health at 18.8% compared to 14.5% in Montgomery village.
  • Depression is more prevalent in Shafter at 19.7% compared to 18.9% in Montgomery village.
  • Smoking is more prevalent in Shafter at 18.3% compared to 11.3% in Montgomery village.
  • Binge drinking is more common in Shafter at 14.9% compared to 12.1% in Montgomery village.
  • Obesity rates are higher in Shafter at 39.4% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Montgomery village at 10.0% compared to 6.0% in Shafter.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Shafter Montgomery village
No Schooling 2.7% (567) 2.7% (955)
High School Diploma 14.1% (2,992) 12.2% (4,244)
Less than High School 32.9% (6,999) 14.3% (4,958)
Bachelor's Degree and Higher 5.7% (1,217) 28.9% (10,032)

Education Levels Comparison: Shafter vs Montgomery village

  • The percentage of residents with no formal schooling is the same in both Shafter and Montgomery village at 2.7%.
  • A higher percentage of residents in Shafter hold a high school diploma at 14.1% compared to 12.2% in Montgomery village.
  • More residents in Shafter have less than a high school education at 32.9% compared to 14.3% in Montgomery village.
  • In Montgomery village, a larger share of residents have a bachelor's degree or higher at 28.9% compared to 5.7% in Shafter.

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.