Description

EDSCOR50 is a constructed variable indicating the percentage of people in the respondent's occupational category who had completed one or more years of college.

This variable relies on the modified version of the 1950 occupational classification scheme available in the OCC1950 variable. EDSCOR50 is derived by using educational attainment information (available in EDUC) for the employed civilian labor force aged 16 and up, excluding persons who did not work in the past year.

For years prior to 1950, occupations are assigned the EDSCOR50 value derived from the 1950 data.

The OCC1950 categories 12-29 (professors and instructors) were treated as one single category in the process of deriving EDSCOR50, since there were not enough cases to be kept as separate categories. All these occupational categories have the same value of EDSCOR50.

Alternative measures of occupational standing measures that are based on OCC1950 are available in ERSCOR50, NPBOSS50, OCCSCORE, PRESGL, and SEI. For information on the construction of OCC1950 and occupational standing measures, see "Integrated Occupation and Industry Codes and Occupational Standing Variables in the IPUMS."

User Note: There is significant debate about the usefulness of composite measures of occupational standing (in the IPUMS, these variables include SEI, HWSEI, NPBOSS50, and NPBOSS90). We strongly urge researchers to read our user note on this issue and to familiarize themselves with the debates surrounding the use of these variables.

EDSCOR50 is a constructed 4-digit numeric variable which indicates the percentage of people in the respondent's occupational category who had completed one or more years of college. This variable relies on the modified version of the 1950 occupational classification scheme available in the OCC1950 variable. EDSCOR50 is derived by using educational attainment information (available in EDUC) for the employed civilian labor force aged 16 and up, excluding persons who did not work in the past year. EDSCOR50 has one implied decimal. For example, an EDSCOR50 value of 0061 should be interpreted as 6.1. This division is performed automatically in the extract setup files. EDSCOR50 specific variable codes for missing, edited, or unidentified observations, observations not applicable (N/A), observations not in universe (NIU), top and bottom value coding, etc. are provided below if applicable by Census year (and data sample if specified).

User caution: There is significant debate about the usefulness of composite measures of occupational standing (in the IPUMS, these variables include SEI, HWSEI, NPBOSS50, and NPBOSS90). We strongly urge researchers to read our user note on this issue and to familiarize themselves with the debates surrounding the use of these variables.

EDSCOR50 Specific Variable Codes
9999 = N/A

Comparability

This variable is comparable across years.

EDSCOR90 offers a similar occupational education score variable that is based on the occupational classification scheme available in OCC1990.

Persons under age 16 were not included in the calculation of EDSCOR50 values in any year. Prior to 1980, when occupational information was collected for some persons under age 16, we have assigned EDSCOR50 values to all workers, even though the education level of those under age 16 were not included in the construction of the variable.

Universe

Availability

• 2023: All samples
• 2022: All samples
• 2021: All samples
• 2020: All samples
• 2019: All samples
• 2018: All samples
• 2017: All samples
• 2016: All samples
• 2015: All samples
• 2014: All samples
• 2013: All samples
• 2012: All samples
• 2011: All samples
• 2010: ACS; ACS 3yr; ACS 5yr
• 2009: All samples
• 2008: All samples
• 2007: All samples
• 2006: All samples
• 2005: All samples
• 2004: All samples
• 2003: All samples
• 2002: All samples
• 2001: All samples
• 2000: All samples
• 1990: All samples
• 1980: All samples
• 1970: All samples
• 1960: All samples
• 1950: All samples
• 1940: All samples
• 1930: All samples
• 1920: All samples
• 1910: All samples
• 1900: All samples
• 1880: All samples
• 1870: All samples
• 1860: All samples
• 1850: All samples

• 2023: --
• 2022: --
• 2021: --
• 2020: --
• 2019: --
• 2018: --
• 2017: --
• 2016: --
• 2015: --
• 2014: --
• 2013: --
• 2012: --
• 2011: --
• 2010: --
• 2009: --
• 2008: --
• 2007: --
• 2006: --
• 2005: --
• 2000: --
• 1990: --
• 1980: --
• 1970: --
• 1930: --
• 1920: --
• 1910: --

Flags

Editing Procedure

There is no editing procedure available for this variable.