Solomons, MD

N/A

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US Senator
Chris Van Hollen
Democratic Party
US Senator
Angela Alsobrooks
Democratic Party
2023 Median Age
66.4
4.4% 1-year increase
2023 Poverty Rate
0.631%
11.2% 1-year increase

About

The 5 largest ethnic groups in undefined are White (Non-Hispanic) (83.6%), Asian (Non-Hispanic) (7.06%), Black or African American (Non-Hispanic) (5.18%), Two Races Including Other (Hispanic) (2.48%), and Two Races Excluding Other, & Three or More Races (Hispanic) (1.24%).

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.

United StatesMarylandCalvert County, MDWashington-Arlington-Alexandria, DC-VA-MD-WVCalvert & Southeast St. Mary's Counties--Chesapeake Beach & California PUMA, MD

Population & Diversity

In 2023, there were 11.8 times more White (Non-Hispanic) residents (1.82k people) in N/A than any other race or ethnicity. There were 154 Asian (Non-Hispanic) and 113 Black or African American (Non-Hispanic) residents, the second and third most common ethnic groups.

Diversity

Race and Ethnicity

The 3 largest ethnic groups in undefined
  1. White (Non-Hispanic)
    1.82k ± 571
  2. Asian (Non-Hispanic)
    154 ± 147
  3. Black or African American (Non-Hispanic)
    113 ± 108
4.13%
Hispanic Population
90 people

In 2023, there were 11.8 times more White (Non-Hispanic) residents (1.82k people) in N/A than any other race or ethnicity. There were 154 Asian (Non-Hispanic) and 113 Black or African American (Non-Hispanic) residents, the second and third most common ethnic groups.

4.13% of the people in N/A are hispanic (90 people).

The following chart shows the 8 races represented in N/A as a share of the total population.

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Foreign-Born Population

6.79%
2023 Foreign-Born Population
148 people
8.3%
2022 Foreign-Born Population
186 people

Economy

Employment

Occupations

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N/A Value
± N/A

The most common job groups, by number of people living in N/A, are Management Occupations (110 people), Computer & Mathematical Occupations (106 people), and Legal Occupations (90 people). This chart illustrates the share breakdown of the primary jobs held by residents of N/A.

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Unemployment Insurance Claims

The most recent data point uses Advance State Claims data, which can be revised in subsequent weeks.

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Industries

Employment by Industries

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N/A Value
± N/A

The most common employment sectors for those who live in N/A, are N/A. 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.

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Median Earnings by Industry

$117,736
Median earning men ± $52,113
$70,595
Median earning women ± $29,276

The industries with the best median earnings for men in 2023 are Public Administration ($143,889), Professional, Scientific, & Management, & Administrative & Waste Management Services ($118,056), and Other Services Except Public Administration ($N/A).

The industries with the best median earnings for women in 2023 are Professional, Scientific, & Management, & Administrative & Waste Management Services ($78,906), Educational Services, & Health Care & Social Assistance ($59,148), and Public Administration ($N/A).

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Employment by Industry Sector

Data is only available at the state level. Showing data for Maryland.
Y-Axis
0.617%
Year-over-year growth
Employment change between February 2022 and February 2023

As of February 2023, there are 2.69M people employed in Maryland. This represents a 0.617% increase in employment when compared to February 2022.

Right after the beginning of the COVID-19 pandemic, during April 2020, a general dip can be seen across industry sectors, resulting in an overall decline in employment by 13.9%.

The following chart shows monthly employment numbers for each industry sector in Maryland.

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Civics

Senator Elections

US Representative Elections

Education

Working Population

Educational Pyramid

Measure

This visualization shows the gender distribution of the population according to the academic level reached.

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Educational Attainment

Race

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.

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Housing & Living

Equity

Household Income

Please note that the buckets used in this visualization were not evenly distributed by ACS when publishing the data.
N/A
Median Household Income
± N/A
1.1k
Number of Households
± 299
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Transportation

Commuter Transportation

In N/A, N/A% of workers in N/A 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.

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Commute Time

N/A minutes
Average Travel Time

The chart below shows how the median household income in Solomons, MD compares to that of it's neighboring and parent geographies.

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Car Ownership

N/A
Average Number
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Poverty

Poverty & Diversity

The most common racial or ethnic group living below the poverty line in N/A 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.

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Health

Coverage

Health Care Diversity

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.

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Uninsured People

N/A%
Uninsured
N/A%
Employer Coverage
N/A%
Medicaid
N/A%
Medicare
N/A%
Non-Group
N/A%
Military or VA

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.

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