data city; input Year 4. @7 ServicesPolice comma6. @15 ServicesFire comma6. @22 ServicesWater_Sewer comma6. @30 AdminLabor comma6. @39 AdminSupplies comma6. @45 AdminUtilities comma6.; ServicesTotal=ServicesPolice+ServicesFire+ServicesWater_Sewer; AdminTotal=AdminLabor+AdminSupplies+AdminUtilities; Total=ServicesTotal+AdminTotal; label Total='Total Outlays' ServicesTotal='Services: Total' ServicesPolice='Services: Police' ServicesFire='Services: Fire' ServicesWater_Sewer='Services: Water & Sewer' AdminTotal='Administration: Total' AdminLabor='Administration: Labor' AdminSupplies='Administration: Supplies' AdminUtilities='Administration: Utilities'; datalines; 1993 2,819 1,120 422 391 63 98 1994 2,477 1,160 500 172 47 70 1995 2,028 1,061 510 269 29 79 1996 2,754 893 540 227 21 67 1997 2,195 963 541 214 21 59 1998 1,877 926 535 198 16 80 1999 1,727 1,111 535 213 27 70 2000 1,532 1,220 519 195 11 69 2001 1,448 1,156 577 225 12 58 2002 1,500 1,076 606 235 19 62 2003 1,934 969 646 266 11 63 2004 2,195 1,002 643 256 24 55 2005 2,204 964 692 256 28 70 2006 2,175 1,144 735 241 19 83 2007 2,556 1,341 813 238 25 97 2008 2,026 1,380 868 226 24 97 2009 2,526 1,454 946 317 13 89 2010 2,027 1,486 1,043 226 . 82 2011 2,037 1,667 1,152 244 20 88 2012 2,852 1,834 1,318 270 23 74 2013 2,787 1,701 1,317 307 26 66 ;
proc datasets library=work nolist
;contents data=city
; run;
18.191.205.189