PROC DATASOURCE: BLS State and Area Employment, Hours, and Earnings Surveys

The DATASOURCE Procedure

Example 11.3 BLS State and Area Employment, Hours, and Earnings Surveys

This example illustrates how to extract specific series from a State and Area Employment, Hours, and Earnings Survey. The series to be extracted is total employment in real estate and construction industries with respect to states from March 1989 to March 1990.

The State and Area, Employment, Hours and Earnings survey designates the totals for statewide figures by AREA=’0000’.

The data type code for total employment is reported to be 1. Therefore, the series name for this variable is SA1, since series names are constructed by adding an SA prefix to the data type codes given by BLS.

Output 11.3.1 and Output 11.3.2 show statewide figures for total employment (SA1) in many industries from March 1989 through March 1990.

filename ascifile "blseesa.dat" RECFM=F LRECL=152;
proc datasource  filetype=blseesa
                 infile=ascifile
                 outall=totkey
                 out=totemp;
   keep sa1;
   range from 1989:3 to 1990:3;
   rename sa1=totemp;
run;

title1 'Information on Total Employment, OUTALL= Data Set';
proc print data=totkey;
run;

title1 'Total Employment, OUT= Data Set';
proc print data=totemp;
run;

Output 11.3.1 Printout of the OUTALL= Data Set for All BY Groups

Total Employment, OUT= Data Set

Obs	STATE	AREA	DIVISION	INDUSTRY	DETAIL	NAME	KEPT	SELECTED	TYPE	LENGTH	VARNUM	BLKNUM	LABEL	ST_DATE	END_DATE	NTIME	NOBS	NINRANGE	STATEABB	AREANAME	INDTITLE	S_CODE	SEASON	NDEC
1	5	2580	7	0000	1	totemp	1	1	1	5	7	3	ALL EMP	JAN1970	JUN1990	246	246	13	AR	FAYETTEVILLE-SPRINGDALE	FINANCE, INSURANCE, AND REAL ESTATE	SAU0525807000011	U	1
2	6	0360	4	2039	6	totemp	1	1	1	5	7	6	ALL EMP	JAN1972	JUN1990	222	222	13	CA	ANAHEIM-SANTA ANA	CANNED, CURED, AND FROZEN FOODS	SAU0603604203961	U	1
3	6	6000	4	2300	2	totemp	1	1	1	5	7	7	ALL EMP	JAN1972	JUN1990	222	222	13	CA	OXNARD-VENTURA	APPAREL AND OTHER TEXTILE PRODUCTS	SAU0660004230021	U	1
4	6	7120	2	0000	1	totemp	1	1	1	5	7	8	ALL EMP	JAN1957	DEC1987	372	372	0	CA	SALINAS-SEASIDE-MONTEREY	CONSTRUCTION	SAU0671202000011	U	1
5	10	0000	7	6102	6	totemp	1	1	1	5	7	10	ALL EMP	JAN1984	DEC1987	48	48	0	DE	DELAWARE	NONDEPOS. INSTNS. & SEC. & COM. BRKRS.	SAU1000007610261	U	1
6	11	8840	6	5600	2	totemp	1	1	1	5	7	11	ALL EMP	JAN1972	JUN1990	222	222	13	DC	WASHINGTON MSA	APPAREL AND ACCESSORY STORES	SAU1188406560021	U	1

filename datafile "blseesa.dat" RECFM=F LRECL=152;
proc datasource  filetype=blseesa
                 outall=totkey
                 out=totemp;
   where industry='0000';
   keep sa1;
   range from 1989:3 to 1990:3;
   rename sa1=totemp;
run;

title1 'Total Employment for Real Estate and Construction, OUT= Data Set';
proc print data=totemp;
run;

Output 11.3.2 Printout of the OUT= Data Set for INDUSTRY=0000

Total Employment for Real Estate and Construction, OUT= Data Set

Obs	STATE	AREA	DIVISION	DETAIL	DATE	totemp
1	5	2580	7	1	MAR1989	16
2	5	2580	7	1	APR1989	16
3	5	2580	7	1	MAY1989	16
4	5	2580	7	1	JUN1989	16
5	5	2580	7	1	JUL1989	16
6	5	2580	7	1	AUG1989	16
7	5	2580	7	1	SEP1989	16
8	5	2580	7	1	OCT1989	16
9	5	2580	7	1	NOV1989	16
10	5	2580	7	1	DEC1989	16
11	5	2580	7	1	JAN1990	15
12	5	2580	7	1	FEB1990	15
13	5	2580	7	1	MAR1990	15

Note the following for this example:

When the INFILE= option is omitted, the fileref assigned to the BLSEESA file is the default value DATAFILE.
The FROM and TO values in the RANGE statement correspond to monthly data points since the INTERVAL= option defaults to MONTH for the BLSEESA filetype.

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