Southern Vermont--Rutland, Windsor, Bennington & Windham Counties PUMA, VT
N/A
Add ComparisonN/A
N/A of the households in N/A reported speaking a non-English language at home as their primary shared language. This does not consider the potential multi-lingual nature of households, but only the primary self-reported language spoken by all members of the household.
Most people in N/A drove alone to work, and the average commute time was 22.3 minutes. The average car ownership in N/A was 2 cars per household.
In N/A, there were N/A times more N/A residents (N/A people) in N/A than any other race or ethnicity. There were N/A N/A and N/A N/A residents, the second and third most common ethnic groups.
In N/A, there were N/A times more N/A residents (N/A people) in N/A than any other race or ethnicity. There were N/A N/A and N/A N/A residents, the second and third most common ethnic groups.
N/A% of the people in N/A are hispanic (N/A people).
The following chart shows the N/A races represented in N/A as a share of the total population.
The most common job groups, by number of people living in N/A, are Other managers (1,787 people), Registered nurses (1,677 people), and Elementary & middle school teachers (1,654 people). This chart illustrates the share breakdown of the primary jobs held by residents of N/A.
The most recent data point uses Advance State Claims data, which can be revised in subsequent weeks.
The most common employment sectors for those who live in N/A, are Elementary & secondary schools (4,595 people), Construction (3,834 people), and General medical and surgical hospitals, and specialty (except psychiatric and substance abuse) hospitals (3,390 people). This chart shows the share breakdown of the primary industries for residents of N/A, though some of these residents may live in N/A and work somewhere else. Census data is tagged to a residential address, not a work address.
The industries with the best median earnings for men in N/A are N/A.
The industries with the best median earnings for women in N/A are N/A.
In 2022, universities in Southern Vermont--Rutland, Windsor, Bennington & Windham Counties PUMA, VT awarded 1,233 degrees. The student population of Southern Vermont--Rutland, Windsor, Bennington & Windham Counties PUMA, VT in 2022 is skewed towards women, with 1,948 male students and 3,189 female students.
This visualization shows the gender distribution of the population according to the academic level reached.
This visualization illustrates the percentage distribution of the population according to the highest educational level reached. You can filter the data by race by using the selector above.
People in N/A have an average commute time of 22.3 minutes, and they drove alone to work. Car ownership in N/A is approximately the same as the national average, with an average of 2 cars per household.
In 2022, 74.2% of workers in N/A drove alone to work, followed by those who worked at home (12.6%) and those who carpooled to work (7.71%).
The following chart shows the number of households using each mode of transportation over time, using a logarithmic scale on the y-axis to help better show variations in the smaller means of commuting.
The chart below shows how the median household income in Southern Vermont--Rutland, Windsor, Bennington & Windham Counties PUMA, VT compares to that of it's neighboring and parent geographies.
The most common racial or ethnic group living below the poverty line in N/A is White, followed by Two Or More and Hispanic.
The Census Bureau uses a set of money income thresholds that vary by family size and composition to determine who classifies as impoverished. If a family's total income is less than the family's threshold than that family and every individual in it is considered to be living in poverty.
In N/A, insured persons according to age ranges were distributed in N/A.
By gender, of the total number of insured persons, N/A were men and N/A were women.
The following chart shows the number of people with health coverage by gender.
The following chart shows how the percent of uninsured individuals in N/A changed over time compared with the percent of individuals enrolled in various types of health insurance.
