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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;
1980 2,819 1,120 422 391 63 98
1981 2,477 1,160 500 172 47 70
1982 2,028 1,061 510 269 29 79
1983 2,754 893 540 227 21 67
1984 2,195 963 541 214 21 59
1985 1,877 926 535 198 16 80
1986 1,727 1,111 535 213 27 70
1987 1,532 1,220 519 195 11 69
1988 1,448 1,156 577 225 12 58
1989 1,500 1,076 606 235 19 62
1990 1,934 969 646 266 11 63
1991 2,195 1,002 643 256 24 55
1992 2,204 964 692 256 28 70
1993 2,175 1,144 735 241 19 83
1994 2,556 1,341 813 238 25 97
1995 2,026 1,380 868 226 24 97
1996 2,526 1,454 946 317 13 89
1997 2,027 1,486 1,043 226 . 82
1998 2,037 1,667 1,152 244 20 88
1999 2,852 1,834 1,318 270 23 74
2000 2,787 1,701 1,317 307 26 66
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Copyright © 2012 by SAS Institute Inc., Cary, NC, USA. All rights reserved.