Credit analysts

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Total Workforce

29.8k

Average Age

38.5

Average Salary

$87,478

Average Male Salary

$94,621

Average Female Salary

$79,748

Employment

Information on the businesses and industries that employ Credit analysts and on wages and locations for those in the field. Banking & related activities is the industry that employs the most Credit analysts, both by share and by number, though the highest paid industry for Credit analysts, by average wage, is Securities, commodities, funds, trusts & other financial investments. Credit analysts are paid most in false but are relatively concentrated in false.

Wages

Yearly Wage

$87,478

AVERAGE SALARY

± $15,072

In 2018, Credit analysts earned an average of $87,478, $33,590 more than than the average national salary of $53,888.

Mechanical engineers make somewhat more than Credit analysts while Firstline supervisors of police & detectives make somewhat less. This chart shows the various occupations closest to Credit analysts as measured by average annual salary in the US.

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Wage Distribution

0.317

WAGE GINI

In 2017, Credit analysts had a wage GINI coefficient of 0.317, which is lower than than the national average of 0.479. In other words, wages are distributed more evenly for Credit analysts (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 Credit analysts.

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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 Credit analysts.

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Industries

Most Common

The most common industries employing Credit analysts, by number of employees, are Banking & related activities, Nondepository credit & related activities, and Business support services.

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Industries by Share

29.8k

2018 Workforce

± 4,236

5.55%

1 YEAR GROWTH

± 19.3%

The number of people employed as Credit analysts has been growing at a rate of 5.55%, from 28,214 people in 2017 to 29,781 people in 2018.

This graphic shows the share of Credit analysts employed by various industries. Banking & related activities employs the largest share of Credit analysts at  50.2%, followed by Nondepository credit & related activities with 15.9% and Business support services with 4.1%.

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Diversity

Demographic information on Credit analysts in the US. The average age of male Credit analysts in the workforce is 36.4 and of female Credit analysts is 40.7, and the most common race/ethnicity for Credit analysts is White.

Gender Composition

15.5k

MALE WORKFORCE

± 3,054

14.3k

FEMALE WORKFORCE

± 2,936

52% of Credit analysts are Male, making them the more common gender in the occupation. This chart shows the gender breakdown of Credit analysts.

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Race & Ethnicity

Most Common Race or Ethnicity of Credit analysts

  1. White

  2. Asian

  3. Black

80.4% of Credit analysts are White, making that the most common race or ethnicity in the occupation. Representing 6.86% of Credit analysts, Asian is the second most common race or ethnicity in this occupation. This chart shows the racial and ethnic breakdown of Credit analysts.

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Age by Gender

36.4

AVERAGE MALE AGE

± 2.14

40.7

AVERAGE FEMALE AGE

± 2.55

The median age of Credit analysts is 38.5, and Male employees are generally 4.31 years younger than than their Female counterparts.

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Education

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

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 Credit analysts from the Bureau of Labor Statistics. Credit analysts need many skills, but most especially Critical Thinking, Reading Comprehension, and Active Listening. The revealed comparative advantage (RCA) shows that Credit analysts need more than the average amount of Programming, Mathematics, and Management of Financial Resources.

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