Maryland
State
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N/A of the households in Maryland 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.
Maryland borders Delaware, District of Columbia, Pennsylvania, Virginia, and West Virginia.
The economy of Maryland employs N/A people. In N/A, the largest industries in Maryland were N/A, and the highest paying industries were N/A.
The workforce of Maryland in N/A was N/A people, with N/A% woman, and N/A% men.
The visualization shows the distribution of the workforce by gender and age in Maryland.
With the upper buttons you can see the distribution of the average salary and add a filter by race.
In N/A there were N/A people working in Maryland. The Public Use Microdata Areas (PUMA) that concentrated the largest workforce were N/A.
The following map shows all of the PUMAs in Maryland colored by workforce or average wage.
With the upper buttons you can see the yearly change and add a filter by race.
The most common job groups, by number of people living in Maryland, are N/A. This chart illustrates the share breakdown of the primary jobs held by residents of Maryland.
This chart shows weekly unemployment insurance claims in N/A (not-seasonally adjusted) compared with the four states with the most similar impact.
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 Maryland, are N/A. This chart shows the share breakdown of the primary industries for residents of Maryland, though some of these residents may live in Maryland and work somewhere else. Census data is tagged to a residential address, not a work address.
The visualization shows the distribution of establishments by industry and by size according to the number of employees.
Depending on the option selected, the visualization shows the number of employees or number of establishments and its share across establishment sizes.
The most partisan county was N/A with N/A% of the vote going to N/A running for the N/A Party.
N/A are the senators currently representing the state of N/A. In the United States, senators are elected to 6-year terms with the terms for individual senators staggered.
Maryland is currently represented by 8 members in the U.S. house, and members of the House of Representives are elected to 2-year terms.
In the N/A presidential election, the most partisan county in N/A was N/A with N/A% of the vote going to N/A running for the N/A Party.
The following map shows the counties in N/A colored by their party leaning.
N/A are the senators currently representing N/A.
In the United States, senators are elected to 6-year terms with the terms for individual senators staggered.
The following chart shows elected senators in N/A over time, excluding special elections, colored by their political party.
Maryland is currently represented by 8 members in the U.S. house.
Members of the House of Representives are elected to 2-year terms, and the following chart shows the how the members for Maryland have changed over time starting in 2008.
The graph shows the evolution of awarded degrees by degrees. Under the paragraphs, the average number of awarded degrees by university in each degree is shown.
In N/A, NaNN% of men over 25 years of age had not completed any academic degree (no schooling), while NaNN% of women were in the same situation.
This visualization shows the gender distribution of the population according to the academic level reached.
The most common educational levels obtained by the working population of Maryland in N/A were N/A.
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.
The following map shows all of the counties in Maryland colored by their Median Household Income (N/A).
The following chart displays the households in Maryland distributed between a series of income buckets compared to the national averages for each bucket. The largest share of households have an income in the N/A range.
In N/A, the income inequality in N/A was N/A according to the GINI calculation of the wage distribution. Income inequality had a N/A N/A from N/A to N/A, which means that wage distribution grew somewhat N/A even. The GINI for N/A was N/A than the national average of N/A. In other words, wages are distributed N/A evenly in N/A in comparison to the national average.
This chart shows the number of workers in Maryland across various wage buckets compared to the national average.
In N/A, N/A% of workers in Maryland N/A, followed by those who N/A (N/A%) and those who N/A (N/A%).
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.
Using averages, employees in Maryland have a similar commute time (N/A minutes) than the normal US worker (N/A minutes). Additionally, N/A% of the workforce in Maryland have "super commutes" in excess of 90 minutes.
The chart below shows how the median household income in Maryland compares to that of it's neighboring and parent geographies.
The following chart displays the households in Maryland distributed between a series of car ownership buckets compared to the national averages for each bucket. The largest share of households in Maryland have N/A.
N/A% of the population for whom poverty status is determined in Maryland (N/A out of N/A people) live below the poverty line, a number that is approximately the same as the national average of N/A%. The largest demographic living in poverty are N/A N/A, followed by N/A N/A and then N/A N/A.
The most common racial or ethnic group living below the poverty line in Maryland is N/A, followed by N/A and N/A.
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.
N/A% of the population of Maryland has health coverage, with N/A% on employee plans, N/A% on Medicaid, N/A% on Medicare, N/A% on non-group plans, and N/A% on military or VA plans.
Primary care physicians in N/A see N/A patients per year on average, which represents a N/A N/A from the previous year (N/A patients). Compare this to dentists who see N/A patients per year, and mental health providers who see N/A patients per year.
By gender, of the total number of insured persons, N/A were men and N/A were women.
N/A in N/A see an average of N/A patients per year. This represents a N/A N/A from the previous year (N/A patients).
The following chart shows how the number of patients seen by N/A has been changing over time in N/A in comparison to its neighboring geographies.
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 Maryland changed over time compared with the percent of individuals enrolled in various types of health insurance.
The map shows the distribution of the indicator in the counties of Maryland and the graphic underneath the paragraph shows the trend of the indicator in Maryland.
The map shows the distribution of the indicator in the counties of Maryland and the graphic underneath the paragraph shows the trend of the indicator in Maryland.