data statepop;
input State $ CityPop_80 CityPop_90
NonCityPop_80 NonCityPop_90 Region;
format region 1.;
label citypop_80= '1980 metropolitan pop in millions'
noncitypop_80='1980 nonmetropolitan pop in millions'
citypop_90= '1990 metropolitan pop in millions'
noncitypop_90='1990 nonmetropolitan pop in million'
region='Geographic region';
datalines;
ME .405 .443 .721 .785 1
NH .535 .659 .386 .450 1
VT .133 .152 .378 .411 1
MA 5.530 5.788 .207 .229 1
RI .886 .938 .061 .065 1
CT 2.982 3.148 .126 .140 1
NY 16.144 16.515 1.414 1.475 1
NJ 7.365 7.730 .A .A 1
PA 10.067 10.083 1.798 1.799 1
DE .496 .553 .098 .113 2
MD 3.920 4.439 .297 .343 2
DC .638 .607 . . 2
VA 3.966 4.773 1.381 1.414 2
WV .796 .748 1.155 1.045 2
NC 3.749 4.376 2.131 2.253 2
SC 2.114 2.423 1.006 1.064 2
GA 3.507 4.352 1.956 2.127 2
FL 9.039 12.023 .708 .915 2
KY 1.735 1.780 1.925 1.906 2
TN 3.045 3.298 1.546 1.579 2
AL 2.560 2.710 1.334 1.331 2
MS .716 .776 1.805 1.798 2
AR .963 1.040 1.323 1.311 2
LA 3.125 3.160 1.082 1.060 2
OK 1.724 1.870 1.301 1.276 2
TX 11.539 14.166 2.686 2.821 2
OH 8.791 8.826 2.007 2.021 3
IN 3.885 3.962 1.605 1.582 3
IL 9.461 9.574 1.967 1.857 3
MI 7.719 7.698 1.543 1.598 3
WI 3.176 3.331 1.530 1.561 3
MN 2.674 3.011 1.402 1.364 3
IA 1.198 1.200 1.716 1.577 3
MO 3.314 3.491 1.603 1.626 3
ND .234 .257 .418 .381 3
SD .194 .221 .497 .475 3
NE .728 .787 .842 .791 3
KS 1.184 1.333 1.180 1.145 3
MT .189 .191 .598 .608 4
ID .257 .296 .687 .711 4
WY .141 .134 .329 .319 4
CO 2.326 2.686 .563 .608 4
NM .675 .842 .628 .673 4
AZ 2.264 3.106 .453 .559 4
UT 1.128 1.336 .333 .387 4
NV .666 1.014 .135 .183 4
WA 3.366 4.036 .776 .830 4
OR 1.799 1.985 .834 .858 4
CA 22.907 28.799 .760 .961 4
AK .174 .226 .227 .324 4
HI .763 .836 .202 .272 4
;
run;