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The Relationship Between The 1990 Census and ... - Census Bureau

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Private wage <strong>and</strong> salary workers - People who work for a private employer for wages,<br />

salary, commission, tips, pay-in-kind, or at piece rates. This category also includes selfemployed<br />

people whose business is incorporated, because they are paid employees of their<br />

own companies.<br />

Government workers - Employees of any federal, state, or local governmental unit, regardless<br />

of the activity of the agency.<br />

Self-employed workers - People who work for profit or fees in their own unincorporated<br />

business, profession, or trade; or who operate a farm.<br />

Unpaid family workers - People who work without pay in a business or on a farm operated<br />

by a relative.<br />

Salaried/Self-employed - In tabulations that categorize people as either salaried or selfemployed,<br />

the salaried category includes private <strong>and</strong> government wage <strong>and</strong> salary workers;<br />

while the self-employed includes self-employed people <strong>and</strong> unpaid family workers.<br />

Crosswalk<br />

A crosswalk is a table or chart that shows the relationship between two classification systems or<br />

two sets of data. Crosswalks can take three forms:<br />

Categorical crosswalks show the relationship between categories in different classification<br />

systems. Appendices A through D in this paper are examples of categorical crosswalks.<br />

Conversion crosswalks provide conversion factors or other information that enable the user<br />

to convert one classification to another. Tables 1-7 in this paper are examples of conversion<br />

crosswalks.<br />

Data crosswalks apply conversion factors to data so that one data set becomes comparable to<br />

another. <strong>The</strong>se crosswalks show numbers of people in each category after conversion from<br />

one classification to another. Tables 8 <strong>and</strong> 9 in this report are examples of data crosswalks.<br />

Double-coding<br />

“Double-coding” is the assignment of a set of data into two different classification systems. This<br />

paper discusses two examples of double-coding: first, all the industry <strong>and</strong> occupation<br />

descriptions <strong>and</strong> titles in the <strong>Census</strong> <strong>Bureau</strong>’s Classified Index of Industries <strong>and</strong> Occupations<br />

were assigned to both the <strong>1990</strong> <strong>and</strong> 2000 classification systems; second, a sample of responses<br />

from the <strong>1990</strong> <strong>Census</strong> were also assigned to both classification systems.<br />

ECLF<br />

Experienced Civilian Labor Force. See its definition under Civilian Labor Force, above.<br />

ECPC<br />

Economic Classification Policy Committee.<br />

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