Data entry keyers

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Total Workforce

307k

Average Age

41.2

Average Salary

$31,618

Average Male Salary

$35,677

Average Female Salary

$30,286

Employment

Information on the businesses and industries that employ Data entry keyers and on wages and locations for those in the field. Insurance carriers is the industry that employs the most Data entry keyers, both by share and by number, though the highest paid industry for Data entry keyers, by average wage, is Lessors of real estate, and offices of real estate agents and brokers. Data entry keyers are paid most in Hagerstown City PUMA, MD but are relatively concentrated in Kendall (North), Sunset & Westwood Lakes PUMA, FL.

Wages

Yearly Wage

$31,618

AVERAGE SALARY

± $1,255

In 2018, Data entry keyers earned an average of $31,618, $22,270 less than than the average national salary of $53,888.

Switchboard operators, including answering service make somewhat more than Data entry keyers while Phlebotomists make somewhat less. This chart shows the various occupations closest to Data entry keyers as measured by average annual salary in the US.

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Wage Distribution

0.343

WAGE GINI

In 2018, Data entry keyers had a wage GINI coefficient of 0.343, which is lower than than the national average of 0.479. In other words, wages are distributed more evenly for Data entry keyers (shown in red) than for the overall labor force (shown in gray).

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Wage by Location

This map shows the Public Use Microdata Areas (PUMAs) in the United States shaded by average annual wage for Data entry keyers.

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Spatial Concentration

This map displays which Public Use Microdata Areas (PUMAs) in the United States have a relatively high population of Data entry keyers.

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Industries

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Industries by Share

307k

2018 Workforce

± 13,594

-5.65%

1 YEAR GROWTH

± 6.54%

The number of people employed as Data entry keyers has been declining at a rate of -5.65%, from 325,615 people in 2017 to 307,232 people in 2018.

This graphic shows the share of Data entry keyers employed by various industries. Insurance carriers employs the largest share of Data entry keyers at  7.24%, followed by Data processing, hosting & related services with 4.18% and General medical and surgical hospitals, and specialty (except psychiatric and substance abuse) hospitals with 4.04%.

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Diversity

Demographic information on Data entry keyers in the US. The average age of male Data entry keyers in the workforce is 35.5 and of female Data entry keyers is 43.1, and the most common race/ethnicity for Data entry keyers is White.

Gender Composition

75.9k

MALE WORKFORCE

± 6,762

231k

FEMALE WORKFORCE

± 11,799

75.3% of Data entry keyers are Female, making them the more common gender in the occupation. This chart shows the gender breakdown of Data entry keyers.

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Race & Ethnicity

Most Common Race or Ethnicity of Data entry keyers

  1. White

  2. Black

  3. Asian

73.6% of Data entry keyers are White, making that the most common race or ethnicity in the occupation. Representing 12.9% of Data entry keyers, Black is the second most common race or ethnicity in this occupation. This chart shows the racial and ethnic breakdown of Data entry keyers.

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Age by Gender

35.5

AVERAGE MALE AGE

± 1.23

43.1

AVERAGE FEMALE AGE

± 0.728

The median age of Data entry keyers is 41.2, and Male employees are generally 7.61 years younger than than their Female counterparts.

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Education

Data on higher education choices for Data entry keyers from The Department of Education and Census Bureau. The most common major for Data entry keyers is Business but a relatively high number of Data entry keyers hold a major in Human Sciences.

Majors

ACS PUMS data only shows the major for bachelor's degrees. However, we can filter the data based on highest degree obtained.

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Skills

Data on the critical and distinctive skills necessary for Data entry keyers from the Bureau of Labor Statistics. Data entry keyers need many skills, but most especially Reading Comprehension, Active Listening, and Writing. The revealed comparative advantage (RCA) shows that Data entry keyers need more than the average amount of Programming, Reading Comprehension, and Time Management.

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