OCC1950: Evolution of occupational distribution in the US
In Ecdat: Data Sets for Econometrics
OCC1950 R Documentation
Evolution of occupational distribution in the US
Description
Proportion of the US population in each of the
283 OCC1950 occupation codes for each year
in the
Integrated Public Use Microdata Series (IPUMS) - US database.
Usage
data("OCC1950")
Format
A matrix with one row for each of
281 OCC1950 occupation codes in IPUMS-US and one
column for each year in their dataset as of
2020-03-17, being
c(1850:1880, 1900:2000, 2001:2016).
Details
This dataset was created using the code in the
IPUMS vignette in the Ecfun package using
tapply(HHWT, IPUMSdata[c("OCC1950", "YEAR")], sum),
then normalizing so the total for each year was 1.
In fact a plot of the sums for each year of
HHWT were close to the
USGDPpresidents$population.K*1000 except
for 1970, when they were double.
Universe Note from the IPUMS documentation for
their variable OCC1950: "New Workers" are
persons seeking employment for the first time, who
had not yet secured their first job.
OCC1950 applies the 1950 Census Bureau occupational
classification system to occupational data, to
enhance comparability across years. For pre-1940
samples created at the University of Minnesota,
the alphabetic responses supplied by enumerators
were directly coded into the 1950 classification.
For other samples, the information in the variable
OCC was recoded into the 1950 classification. Codes above 970 are non-occupational responses retained
in the historical census samples or blank/unknown.
The design of OCC1950 is described at length in
"Integrated Occupation and Industry Codes and
Occupational Standing Variables in the IPUMS.".
The composition of the 1950 occupation categories
is described in detail in U.S. Bureau of the
Census, Alphabetic Index of Occupations and
Industries: 1950 (Washington D.C., 1950).
In 1850-1880, any laborer with no specified industry in a household with a farmer is recoded into farm labor. In 1860-1900, any woman with an occupational response of "housekeeper" enters the non-occupational category "keeping house" if she is related to the head of household. Cases affected by these imputation procedures are identified by an appropriate data quality flag (present in the raw IPUMS data but ignored for this summary).
A parallel variable called OCC1990, available for the samples from 1950 onward, codes occupations into a simplified version of the 1990 occupational coding scheme." [OCC1990 was ignored for the present purposes, because it is not coded for data prior to 1950.]
NOTE: In the 2020-03-17 extraction, there were 283 OCC1950 codes documented, but only 291 of them were actually in the data I got. The codes for "Not yet classified" and "New Workers" were not used.
Source
Steven Ruggles, Sarah Flood, Ronald Goeken,
Josiah Grover, Erin Meyer, Jose Pacas, and
Matthew Sobek (2020)
doi: 10.18128/D010.V10.0IPUMS USA: Version 10.0 [dataset]. Minneapolis, MN: IPUMS.
Examples
data(OCC1950)
Ecdat documentation built on Oct. 16, 2022, 1:08 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| OCC1950 | R Documentation |
Evolution of occupational distribution in the US
Description
Proportion of the US population in each of the
283 OCC1950 occupation codes for each year
in the
Integrated Public Use Microdata Series (IPUMS) - US database.
Usage
data("OCC1950")
Format
A matrix with one row for each of
281 OCC1950 occupation codes in IPUMS-US and one
column for each year in their dataset as of
2020-03-17, being
c(1850:1880, 1900:2000, 2001:2016).
Details
This dataset was created using the code in the
IPUMS vignette in the Ecfun package using
tapply(HHWT, IPUMSdata[c("OCC1950", "YEAR")], sum),
then normalizing so the total for each year was 1.
In fact a plot of the sums for each year of
HHWT were close to the
USGDPpresidents$population.K*1000 except
for 1970, when they were double.
Universe Note from the IPUMS documentation for
their variable OCC1950: "New Workers" are
persons seeking employment for the first time, who
had not yet secured their first job.
OCC1950 applies the 1950 Census Bureau occupational classification system to occupational data, to enhance comparability across years. For pre-1940 samples created at the University of Minnesota, the alphabetic responses supplied by enumerators were directly coded into the 1950 classification. For other samples, the information in the variable OCC was recoded into the 1950 classification. Codes above 970 are non-occupational responses retained in the historical census samples or blank/unknown. The design of OCC1950 is described at length in "Integrated Occupation and Industry Codes and Occupational Standing Variables in the IPUMS.". The composition of the 1950 occupation categories is described in detail in U.S. Bureau of the Census, Alphabetic Index of Occupations and Industries: 1950 (Washington D.C., 1950).
In 1850-1880, any laborer with no specified industry in a household with a farmer is recoded into farm labor. In 1860-1900, any woman with an occupational response of "housekeeper" enters the non-occupational category "keeping house" if she is related to the head of household. Cases affected by these imputation procedures are identified by an appropriate data quality flag (present in the raw IPUMS data but ignored for this summary).
A parallel variable called OCC1990, available for the samples from 1950 onward, codes occupations into a simplified version of the 1990 occupational coding scheme." [OCC1990 was ignored for the present purposes, because it is not coded for data prior to 1950.]
NOTE: In the 2020-03-17 extraction, there were 283 OCC1950 codes documented, but only 291 of them were actually in the data I got. The codes for "Not yet classified" and "New Workers" were not used.
Source
Steven Ruggles, Sarah Flood, Ronald Goeken, Josiah Grover, Erin Meyer, Jose Pacas, and Matthew Sobek (2020) doi: 10.18128/D010.V10.0IPUMS USA: Version 10.0 [dataset]. Minneapolis, MN: IPUMS.
Examples
data(OCC1950)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.