Credit analysts
Detailed Occupation
Add ComparisonCredit analysts are most often employed by the Banking & related activities industry. The average yearly wage for Credit analysts was N/A in N/A.
The locations that employ the most Credit analysts are NYC-Manhattan Community District 3--Lower East Side & Chinatown PUMA, NY, Greater Newark PUMA, DE, and Sarpy County--Bellevue City PUMA, NE. The locations with a relatively high concentration of Credit analysts are N/A.
Employment and salary information for the Credit analysts workforce. Credit analysts workforce in N/A was N/A people, of which N/A% were women and N/A% were men. Credit analysts are paid most in Kandiyohi, McLeod, Meeker, Renville & Sibley Counties PUMA, MN but are relatively concentrated in N/A.
The Credit analysts workforce in N/A was N/A people (N/A% women and N/A% men). This implies an average annual growth of N/A% between N/A (N/A) and N/A (N/A).
This map shows the states in the United States shaded by average wage for Credit analysts.
During N/A, the states that concentrated the best average annual wage were N/A.
In N/A, Credit analysts earned an average of N/A, $NaNN less than the average national salary of N/A
The graph shows the ranking of Credit analysts in relation to all Detailed Occupation in N/A.
In N/A, Credit analysts had a wage GINI coefficient of N/A, which is lower than the national average of N/A. In other words, wages are distributed more evenly for Credit analysts (shown in red) than for the overall labor force (shown in gray).
The graphic shows the distribution of average salaries by buckets for Credit analysts compared to the entire workforce in the country.
Information on the industries that employ Credit analysts and on wages 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 N/A (N/A).
This graphic shows the share of Credit analysts employed by various industries. N/A
Demographic information on Credit analysts in the US. The workforce of Credit analysts in N/A was N/A people, with N/A% woman, and N/A% men. The average age of male Credit analysts in the workforce is N/A and of female Credit analysts is N/A, and the most common race/ethnicity for Credit analysts is N/A.
The workforce of Credit analysts in N/A was N/A people, with N/A% woman, and N/A% men.
The age ranges that concentrated the largest workforce were N/A years (N/A people), N/A years (N/A people), and N/A years (N/A people). Among them they concentrated N/A% of the total workforce.
In N/A, N/A% of Credit analysts workers were Hispanic and N/A% non-Hispanic.
The treemap shows the distribution of Hispanic workers according to their origin, highlighting Mexican (68%), Puerto Rican (13)%, and All Other Spanish/Hispanic/Latino (10.5)%
You can review this information by gender using the selectors above.
In N/A, N/A% of the Credit analysts workforce were N/A, of which N/A% were women and N/A% men. Other races that concentrated a significant number of workers were N/A (N/A%) and N/A (N/A%).
Data on higher education choices for Credit analysts from The Department of Education and Census Bureau. The most common major for Credit analysts is N/A but the most specialized major according to RCA in N/A were N/A.
Among the necessary skills for Credit analysts, N/A stands, but the revealed comparative advantage (RCA) shows that Credit analysts need more than the average amount of Mathematics.
The most common majors achieved by Credit analysts in N/A (counting all academic degrees) were N/A.
You can review this information for different academic grades by modifying the option selected in the selector above.
The main educational levels achieved by the Credit analysts workers were N/A (N/A people), N/A (N/A people), and N/A (N/A people).
The graphic shows the Credit analysts workforce by gender and educational level.
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 N/A, N/A, N/A.
