Here is the 2000/2001 Library Materials Budget. Each year the Library creates a Library Materials Budget that strives to strike a suitable balance between monographs, serials and periodicals, while accommodating the different materials needs of the various disciplines. It also considers the fluctuating Canadian dollar, inflation and increases in both serial and periodical subscriptions. For this budget we still need to add adjustments for the underfunded accounts as identified in the Collection Allocation Task Group Report. Discussions are currently underway with the affected departments.
In establishing this year's Library Materials budget, the following principles have been applied:
- Past experience has shown that scientific, medical and technical serial and periodical subscriptions have greater price increases than other subject areas. Therefore all Science and Applied Science serial and periodical subscriptions are set based on a 9% increase over 1999/2000 expenditures. All other subscriptions including databases have been increased by 8%.
- All Monograph Approval funds have been increased by 4.5% on the lower value of the 1999/2000 appropriation OR the 1999/2000 expenditures. Approval monographs are received based upon subject profiles we have established with our monograph providers. Where no Approval line appears, the Monograph Forms and Monograph Discretionary budget lines have been increased by 4.5%. All other Monograph Form and Discretionary funds are set at the same value as the 1999/2000 budget appropriations.
- We are predicting a further $22,000 reduction in binding costs because of a full year's implementation of the less expensive flush binding. Theses will continue to be bound using the same method as previous years.
- Rarely used general library serial and periodical subscriptions will continue to be reviewed and discontinued. Newspaper subscriptions now available via the Internet will be reviewed and discontinued.
To make reading this budget easier, here is an explanation of the fund account codes using Engineering Sciences (engi) as an example. Not all funds will have all the following codes:
a - Monograph Approvals ( e.g. engia)Monograph Approvals purchases are received in book form based on subject profiles set up with our major book vendor. Primary subjects are covered by these Approvals profiles. Approximately 65% of all monographs titles purchased come in on Approval.
f - Monograph Forms (e.g. engif)
Monograph Forms purchases are books purchased from information forms received based on subject profiles set up with our major book vendor. Secondary subjects are covered by forms in the profiles.
d -Monograph Discretionary ( e.g. engid)
Monograph Discretionary purchases are books purchased from information provided by faculty and students. Depending on the subject area, mainly secondary subjects are covered by Discretionary purchases.
p - Periodicals ( e.g. engip)
Periodicals cover the journals purchased by the Library.
s - Serials ( e.g. engis)
Serials cover other regularly purchased items that are bought from year to year. These consist of yearbooks, handbooks, etc.
w - Databases ( e.g. engiw)
Databases cover electronic indexes that are purchased each year. Subject based databases are covered in the departmental budgets and more general databases are purchased out of the general funds.
If you have any questions regarding the SFU Library Materials Budget, please contact Todd M. Mundle, Head, Collections Management. (tmundle@sfu.ca / 778.782.3263)
SFU Library Materials Budget 2000-2001
(1999/2000 Expenditures are included for comparison)
2000/01 BUDGET
|
99/00 APPROPRIATION
|
99/00 EXPENDITURE
|
99/00 ENCUMBRANCE
|
99/00 TOTAL SPENT & ENCUMB
|
99/00 % SPENT & ENCUMB
|
||||||
Departments/Faculties | |||||||||||
APPLIED SCIENCE | |||||||||||
Communication | |||||||||||
comma | 19,300 | 16,800 | 18,433 | 0 | 18,433 | 110% | |||||
commf | 1,400 | 900 | 938 | 307 | 1,245 | 138% | |||||
commd | 6,900 | 3,700 | 3,765 | 2,840 | 6,604 | 178% | |||||
commp | 18,000 | 11,500 | 13,628 | 660 | 14,288 | 124% | |||||
comms | 300 | 300 | 194 | 0 | 194 | 65% | |||||
Communication | TOTAL | 45,900 | 33,200 | 36,958 | 3,807 | 40,764 | 123% | ||||
Computing Science | |||||||||||
cmpta | 39,700 | 38,000 | 56,524 | 0 | 56,524 | 149% | |||||
cmptf | 10,600 | 10,600 | 6,680 | 3,515 | 10,196 | 96% | |||||
cmptd | 10,400 | 10,400 | 12,505 | 6,884 | 19,389 | 186% | |||||
cmptp | 105,400 | 100,100 | 96,732 | 0 | 96,732 | 97% | |||||
cmpts | 48,300 | 44,300 | 63,386 | 465 | 63,851 | 144% | |||||
Computing Science | TOTAL | 214,400 | 203,400 | 235,828 | 10,864 | 246,692 | 121% | ||||
Engineering Science | |||||||||||
engia | 50,800 | 48,600 | 53,858 | 0 | 53,858 | 111% | |||||
engif | 3,100 | 3,100 | 4,133 | 273 | 4,407 | 142% | |||||
engid | 4,000 | 4,000 | 2,583 | 455 | 3,038 | 76% | |||||
engip | 81,700 | 81,000 | 74,983 | 2,631 | 77,614 | 96% | |||||
engis | 8,600 | 8,600 | 455 | 0 | 455 | 5% | |||||
engiw | 17,500 | 17,500 | 14,744 | 0 | 14,744 | 84% | |||||
Engineering Science | TOTAL | 165,700 | 162,800 | 150,756 | 3,360 | 154,116 | 95% | ||||
Kinesiology | |||||||||||
kinea | 7,100 | 7,000 | 6,736 | 0 | 6,736 | 96% | |||||
kinef | 4,900 | 4,700 | 4,164 | 1,054 | 5,218 | 111% | |||||
kined | 2,200 | 2,100 | 1,531 | 930 | 2,460 | 117% | |||||
kinep | 113,600 | 107,300 | 104,178 | 0 | 104,178 | 97% | |||||
kines | 5,700 | 5,700 | 4,658 | 0 | 4,658 | 82% | |||||
kinew | 4,500 | 4,100 | 4,018 | 0 | 4,018 | 98% | |||||
Kinesiology | TOTAL | 138,000 | 130,900 | 125,284 | 1,984 | 127,269 | 97% | ||||
Resource & Environ Mgnt | |||||||||||
rema | 1,400 | 1,400 | 282 | 0 | 282 | 20% | |||||
remf | 4,400 | 4,200 | 3,616 | 2,246 | 5,863 | 140% | |||||
remd | 4,400 | 4,200 | 2,675 | 1,196 | 3,871 | 92% | |||||
remp | 15,900 | 15,200 | 14,604 | 0 | 14,604 | 96% | |||||
rems | 600 | 0 | 519 | 0 | 519 | **% | |||||
Resource & Environ Mgn | TOTAL | 26,700 | 25,000 | 21,696 | 3,442 | 25,139 | 101% | ||||
APPLIED SCIENCE | TOTAL | 590,700 | 555,300 | 570,523 | 23,089 | 593,612 | 107% | ||||
ARTS | |||||||||||
Anthropology | |||||||||||
antha | 15,300 | 14,600 | 16,835 | 0 | 16,835 | 115% | |||||
anthf | 300 | 300 | 0 | 5 | 5 | 2% | |||||
anthd | 1,600 | 1,600 | 1,367 | 247 | 1,614 | 101% | |||||
anthp | 12,100 | 10,900 | 11,191 | 1,598 | 12,789 | 117% | |||||
anths | 1,500 | 900 | 1,342 | 0 | 1,342 | 149% | |||||
Anthropology | TOTAL | 30,800 | 28,300 | 30,735 | 1,850 | 32,585 | 115% | ||||
Archaeology | |||||||||||
archa | 9,100 | 8,700 | 9,434 | 0 | 9,434 | 108% | |||||
archf | 3,800 | 3,800 | 5,905 | 862 | 6,767 | 178% | |||||
archd | 4,000 | 4,000 | 2,826 | 1,176 | 4,002 | 100% | |||||
archp | 23,200 | 23,200 | 20,628 | 360 | 20,988 | 90% | |||||
archs | 1,700 | 1,600 | 1,601 | 0 | 1,601 | 100% | |||||
Archaeology | TOTAL | 41,800 | 41,300 | 40,394 | 2,398 | 42,792 | 104% | ||||
Contemp Arts Total | |||||||||||
Contemp Arts - General | |||||||||||
artsa | 47,000 | 46,900 | 47,341 | 0 | 47,341 | 101% | |||||
artsf | 21,900 | 19,900 | 21,279 | 1,694 | 22,973 | 115% | |||||
artsd | 16,400 | 16,400 | 20,570 | 4,442 | 25,011 | 153% | |||||
artsp | 20,000 | 20,000 | 15,350 | 24 | 15,374 | 77% | |||||
artss | 7,300 | 7,300 | 3,728 | 80 | 3,808 | 52% | |||||
artsw | 4,000 | 4,000 | 7,215 | 1,764 | 8,979 | 224% | |||||
Contemp Arts - Gene | TOTAL | 116,600 | 114,500 | 115,482 | 8,004 | 123,485 | 108% | ||||
ContArts-Discs/Records | |||||||||||
discd | 5,600 | 5,400 | 4,696 | 750 | 5,447 | 101% | |||||
ContArts-Discs/Reco | TOTAL | 5,600 | 5,400 | 4,696 | 750 | 5,447 | 101% | ||||
ContArts-Slides | |||||||||||
slidd | 3,600 | 3,400 | 3,193 | 240 | 3,432 | 101% | |||||
ContArts-Slides | TOTAL | 3,600 | 3,400 | 3,193 | 240 | 3,432 | 101% | ||||
ContArts - MFA | |||||||||||
mfaa | 0 | 0 | 0 | 0 | 0 | **% | |||||
mfaf | 0 | 0 | 0 | 0 | 0 | **% | |||||
mfad | 700 | 3,200 | 4,950 | 76 | 5,026 | 157% | |||||
mfap | 3,500 | 3,500 | 2,346 | 441 | 2,787 | 80% | |||||
mfas | 2,200 | 2,200 | 841 | 179 | 1,020 | 46% | |||||
ContArts - MFA | TOTAL | 6,400 | 8,900 | 8,136 | 697 | 8,833 | 99% | ||||
Contemp Arts Total | TOTAL | 132,200 | 132,200 | 131,507 | 9,691 | 141,197 | 107% | ||||
Criminology | |||||||||||
crima | 24,500 | 23,400 | 27,107 | 0 | 27,107 | 116% | |||||
crimf | 5,400 | 5,400 | 6,233 | 509 | 6,742 | 125% | |||||
crimd | 3,700 | 3,700 | 1,779 | 299 | 2,079 | 56% | |||||
crimp | 54,900 | 25,800 | 28,137 | 0 | 28,137 | 109% | |||||
crims | 3,000 | 2,800 | 4,556 | 0 | 4,556 | 163% | |||||
crimw | 1,200 | 1,100 | 1,159 | 0 | 1,159 | 105% | |||||
Criminology | TOTAL | 92,700 | 62,200 | 68,972 | 808 | 69,780 | 112% | ||||
Economics | |||||||||||
econa | 93,700 | 89,700 | 103,990 | 0 | 103,990 | 116% | |||||
econf | 2,900 | 2,900 | 3,568 | 583 | 4,152 | 143% | |||||
econd | 4,700 | 4,700 | 6,629 | 1,701 | 8,330 | 177% | |||||
econp | 130,000 | 130,000 | 118,251 | 0 | 118,251 | 91% | |||||
econs | 50,700 | 47,000 | 46,983 | 0 | 46,983 | 100% | |||||
econw | 4,200 | 4,100 | 4,018 | 0 | 4,018 | 98% | |||||
Economics | TOTAL | 286,200 | 278,400 | 283,439 | 2,284 | 285,723 | 103% | ||||
English | |||||||||||
engla | 54,300 | 54,300 | 50,623 | 0 | 50,623 | 93% | |||||
englf | 41,800 | 40,000 | 36,683 | 11,712 | 48,395 | 121% | |||||
engld | 16,800 | 16,100 | 11,653 | 5,933 | 17,586 | 109% | |||||
englp | 23,500 | 21,200 | 18,063 | 162 | 18,225 | 86% | |||||
engls | 22,100 | 22,100 | 14,009 | 346 | 14,355 | 65% | |||||
englw | 3,200 | 6,400 | 2,978 | 0 | 2,978 | 47% | |||||
English | TOTAL | 161,700 | 160,100 | 134,011 | 18,153 | 152,164 | 95% | ||||
French | |||||||||||
frena | 3,100 | 3,100 | 1,604 | 0 | 1,604 | 52% | |||||
frenf | 6,800 | 6,500 | 11,588 | 1,757 | 13,345 | 205% | |||||
frend | 16,100 | 16,100 | 7,209 | 4,974 | 12,183 | 76% | |||||
frenp | 5,400 | 5,400 | 4,846 | 174 | 5,020 | 93% | |||||
frens | 1,600 | 1,200 | 1,616 | 0 | 1,616 | 135% | |||||
French | TOTAL | 33,000 | 32,300 | 26,863 | 6,905 | 33,768 | 105% | ||||
Geography | |||||||||||
geoga | 15,000 | 14,400 | 11,570 | 0 | 11,570 | 80% | |||||
geogf | 600 | 600 | 3,836 | 2,117 | 5,953 | 992% | |||||
geogd | 6,150 | 6,400 | 6,331 | 3,753 | 10,084 | 158% | |||||
geogp | 82,550 | 78,000 | 76,230 | 0 | 76,230 | 98% | |||||
geogs | 1,500 | 1,500 | 1,432 | 0 | 1,432 | 95% | |||||
geogw | 0 | 0 | 0 | 0 | 0 | **% | |||||
Geography | TOTAL | 105,800 | 100,900 | 99,399 | 5,870 | 105,269 | 104% | ||||
Gerontology | |||||||||||
geroa | 1,800 | 1,800 | 1,086 | 0 | 1,086 | 60% | |||||
gerof | 400 | 400 | 114 | 264 | 378 | 95% | |||||
gerod | 2,500 | 2,500 | 539 | 830 | 1,368 | 55% | |||||
gerop | 16,400 | 14,200 | 15,155 | (303) | 14,851 | 105% | |||||
geros | 1,500 | 1,500 | 212 | 575 | 788 | 53% | |||||
gerow | 3,700 | 3,600 | 3,462 | 0 | 3,462 | 96% | |||||
Gerontology | TOTAL | 26,300 | 24,000 | 20,568 | 1,366 | 21,933 | 91% | ||||
History | |||||||||||
hista | 28,700 | 27,460 | 29,336 | 0 | 29,336 | 107% | |||||
histf | 22,400 | 22,400 | 19,567 | 1,049 | 20,616 | 92% | |||||
histd | 26,600 | 26,600 | 22,285 | 8,445 | 30,729 | 116% | |||||
histp | 31,900 | 31,860 | 26,032 | 924 | 26,956 | 85% | |||||
hists | 8,000 | 8,000 | 6,364 | 0 | 6,364 | 80% | |||||
histw | 14,800 | 7,800 | 23,520 | 1,000 | 24,520 | 314% | |||||
History | TOTAL | 132,400 | 124,120 | 127,104 | 11,417 | 138,521 | 112% | ||||
Linguistics | |||||||||||
linga | 16,000 | 15,300 | 15,912 | 0 | 15,912 | 104% | |||||
lingf | 12,600 | 12,600 | 15,000 | 1,668 | 16,668 | 132% | |||||
lingd | 1,100 | 1,100 | 1,466 | 1,061 | 2,527 | 230% | |||||
lingp | 25,700 | 24,500 | 23,835 | 0 | 23,835 | 97% | |||||
lings | 3,000 | 2,800 | 3,867 | 0 | 3,867 | 138% | |||||
Linguistics | TOTAL | 58,400 | 56,300 | 60,080 | 2,730 | 62,810 | 112% | ||||
Literatures-Misc Foreig | |||||||||||
lita | 9,500 | 9,100 | 9,417 | 0 | 9,417 | 103% | |||||
litf | 1,400 | 1,400 | 2,308 | 122 | 2,430 | 174% | |||||
litd | 700 | 700 | 709 | 732 | 1,441 | 206% | |||||
litp | 600 | 500 | 542 | 0 | 542 | 108% | |||||
lits | 700 | 700 | 303 | 0 | 303 | 43% | |||||
Literatures-Misc Forei | TOTAL | 12,900 | 12,400 | 13,279 | 854 | 14,133 | 114% | ||||
MA Liberal Studies | |||||||||||
malsa | 0 | 0 | 78 | 0 | 78 | **% | |||||
malsf | 1,100 | 1,000 | 1,309 | 67 | 1,375 | 138% | |||||
malsd | 8,600 | 8,600 | 6,154 | 748 | 6,902 | 80% | |||||
malsp | 2,500 | 2,500 | 153 | 0 | 153 | 6% | |||||
malss | 2,900 | 2,900 | 1,096 | 0 | 1,096 | 38% | |||||
MA Liberal Studies | TOTAL | 15,100 | 15,000 | 8,790 | 815 | 9,605 | 64% | ||||
MA Publishing | |||||||||||
mpuba | 0 | 0 | 0 | 0 | 0 | **% | |||||
mpubf | 1,000 | 1,000 | 317 | 116 | 433 | 43% | |||||
mpubd | 4,100 | 3,400 | 1,951 | 1,025 | 2,976 | 88% | |||||
mpubp | 1,400 | 1,100 | 1,273 | 646 | 1,919 | 174% | |||||
mpubs | 2,000 | 1,700 | 1,338 | 216 | 1,554 | 91% | |||||
MA Publishing | TOTAL | 8,500 | 7,200 | 4,879 | 2,003 | 6,882 | 96% | ||||
Philosophy | |||||||||||
phila | 30,300 | 30,300 | 28,484 | 0 | 28,484 | 94% | |||||
philf | 3,000 | 1,000 | 1,824 | 1,492 | 3,317 | 332% | |||||
phild | 1,000 | 2,900 | 547 | 730 | 1,277 | 44% | |||||
philp | 21,800 | 21,000 | 20,192 | 0 | 20,192 | 96% | |||||
phils | 2,500 | 2,300 | 2,305 | 0 | 2,305 | 100% | |||||
philw | 1,800 | 0 | 1,650 | 0 | 1,650 | **% | |||||
Philosophy | TOTAL | 60,400 | 57,500 | 55,003 | 2,223 | 57,225 | 100% | ||||
Political Science | |||||||||||
polia | 97,500 | 90,300 | 105,544 | 0 | 105,544 | 117% | |||||
polif | 8,700 | 8,700 | 14,430 | 663 | 15,093 | 173% | |||||
polid | 9,100 | 9,100 | 6,952 | 2,010 | 8,962 | 98% | |||||
polip | 39,500 | 73,700 | 68,399 | 0 | 68,399 | 93% | |||||
polis | 35,000 | 67,800 | 69,916 | 0 | 69,916 | 103% | |||||
Political Science | TOTAL | 189,800 | 249,600 | 265,241 | 2,673 | 267,914 | 107% | ||||
Psychology | |||||||||||
psyca | 37,600 | 37,200 | 35,980 | 0 | 35,980 | 97% | |||||
psycf | 2,800 | 2,700 | 3,765 | 538 | 4,303 | 159% | |||||
psycd | 4,200 | 4,000 | 4,329 | 2,700 | 7,029 | 176% | |||||
psycp | 124,500 | 115,500 | 115,276 | 0 | 115,276 | 100% | |||||
psycs | 2,000 | 2,000 | 1,638 | 0 | 1,638 | 82% | |||||
Psychology | TOTAL | 171,100 | 161,400 | 160,988 | 3,238 | 164,226 | 102% | ||||
LatinAmerStudiesGeneral | |||||||||||
spana | 0 | 0 | 0 | 0 | 0 | 0% | |||||
spanf | 1,800 | 1,800 | 1,229 | 0 | 1,229 | 154% | |||||
spand | 5,000 | 5,000 | 1,014 | 811 | 1,825 | 36% | |||||
spanp | 8,500 | 8,200 | 7,895 | 187 | 8,082 | 99% | |||||
spans | 500 | 400 | 616 | 0 | 616 | 154% | |||||
spanw | 1,700 | 1,600 | 3,543 | 0 | 3,543 | 221% | |||||
LatinAmerStudiesGenera | TOTAL | 17,500 | 17,000 | 14,297 | 998 | 15,295 | 90% | ||||
MA LatinAmericanStudies | |||||||||||
mlasa | 3,000 | 3,000 | 0 | 0 | 0 | 0% | |||||
mlasf | 300 | 300 | 0 | 0 | 0 | 0% | |||||
mlasd | 1,000 | 1,000 | 888 | 0 | 888 | 89% | |||||
mlasp | 5,000 | 4,100 | 4,612 | 150 | 4,762 | 116% | |||||
mlass | 300 | 600 | 0 | 55 | 55 | 9% | |||||
MA LatinAmericanStudie | TOTAL | 9,600 | 9,000 | 5,499 | 205 | 5,705 | 63% | ||||
0 | |||||||||||
Sociology | 0 | ||||||||||
soca | 88,600 | 84,800 | 93,000 | 0 | 93,000 | 110% | |||||
socf | 9,100 | 9,100 | 10,921 | 567 | 11,488 | 126% | |||||
socd | 10,800 | 10,800 | 8,516 | 2,614 | 11,130 | 103% | |||||
socp | 44,400 | 44,400 | 40,463 | 125 | 40,588 | 91% | |||||
socs | 3,500 | 3,500 | 3,235 | 0 | 3,235 | 92% | |||||
socw | 9,900 | 8,800 | 9,172 | 0 | 9,172 | 104% | |||||
Sociology | TOTAL | 166,300 | 161,400 | 165,308 | 3,306 | 168,614 | 104% | ||||
Women's Studies | |||||||||||
woma | 200 | 200 | 0 | 0 | 0 | 0% | |||||
womf | 500 | 400 | 498 | 248 | 746 | 186% | |||||
womd | 4,400 | 4,200 | 4,008 | 2,000 | 6,008 | 143% | |||||
womp | 7,200 | 7,200 | 3,523 | 777 | 4,300 | 60% | |||||
woms | 600 | 600 | 3,270 | 0 | 3,270 | 545% | |||||
womw | 1,900 | 0 | 1,514 | 0 | 1,514 | **% | |||||
Women's Studies | TOTAL | 14,800 | 12,600 | 12,813 | 3,025 | 15,838 | 126% | ||||
ARTS | TOTAL | 1,760,300 | 1,743,220 | 1,729,168 | 82,812 | 1,811,980 | 104% | ||||
BUSINESS ADMINISTRATION | |||||||||||
Business Administration - General | |||||||||||
buada | 75,200 | 72,000 | 96,788 | 0 | 96,788 | 134% | |||||
buadf | 9,500 | 9,500 | 10,440 | 354 | 10,794 | 114% | |||||
buadd | 4,200 | 4,200 | 3,549 | 2,073 | 5,622 | 134% | |||||
buadp | 108,100 | 107,500 | 100,090 | 0 | 100,090 | 93% | |||||
buads | 33,800 | 29,100 | 33,804 | 1,390 | 35,194 | 121% | |||||
buadw | 15,600 | 15,600 | 8,537 | 0 | 8,537 | 55% | |||||
Business Administratio | TOTAL | 246,400 | 237,900 | 253,208 | 3,817 | 257,024 | 108% | ||||
International Business | |||||||||||
binta | 0 | 0 | 0 | 0 | 0 | **% | |||||
bintf | 0 | 0 | 0 | 0 | 0 | **% | |||||
bintd | 400 | 400 | 27 | 116 | 144 | 36% | |||||
bintp | 8,100 | 8,100 | 7,530 | 0 | 7,530 | 93% | |||||
bints | 800 | 700 | 715 | 0 | 715 | 102% | |||||
International Business | TOTAL | 9,300 | 9,200 | 8,272 | 116 | 8,388 | 91% | ||||
BUSINESS ADMINISTRATION | TOTAL | 255,700 | 247,100 | 261,480 | 3,933 | 265,413 | 107% | ||||
EDUCATION | |||||||||||
educa | 32,600 | 30,200 | 35,309 | 0 | 35,309 | 117% | |||||
educf | 2,800 | 2,800 | 5,471 | 1,307 | 6,778 | 242% | |||||
educd | 8,000 | 8,000 | 13,469 | 6,128 | 19,596 | 245% | |||||
educp | 36,600 | 32,700 | 33,918 | 210 | 34,128 | 104% | |||||
educs | 7,300 | 7,100 | 6,757 | 100 | 6,857 | 97% | |||||
EDUCATION | TOTAL | 87,300 | 80,800 | 94,924 | 7,745 | 102,668 | 127% | ||||
SCIENCE | |||||||||||
Biological Sciences | |||||||||||
biola | 43,300 | 43,300 | 39,260 | 0 | 39,260 | 91% | |||||
biolf | 16,100 | 15,400 | 14,594 | 2,598 | 17,192 | 112% | |||||
biold | 17,500 | 16,700 | 15,569 | 2,667 | 18,236 | 109% | |||||
biolp | 607,200 | 565,000 | 557,034 | 0 | 557,034 | 99% | |||||
biols | 24,800 | 20,400 | 22,723 | 108 | 22,831 | 112% | |||||
biolw | 43,200 | 40,600 | 39,983 | 0 | 39,983 | 98% | |||||
Biological Sciences | TOTAL | 752,100 | 701,400 | 689,162 | 5,374 | 694,536 | 99% | ||||
Chemistry | |||||||||||
chema | 19,400 | 18,600 | 23,101 | 0 | 23,101 | 124% | |||||
chemf | 6,100 | 6,100 | 3,064 | 2,538 | 5,602 | 92% | |||||
chemd | 3,500 | 3,500 | 3,935 | 1,187 | 5,122 | 146% | |||||
chemp | 607,400 | 589,800 | 557,210 | 0 | 557,210 | 94% | |||||
chems | 48,100 | 48,100 | 42,442 | 95 | 42,537 | 88% | |||||
chemw | 26,000 | 43,300 | 1,000 | 0 | 1,000 | 2% | |||||
Chemistry | TOTAL | 710,500 | 709,400 | 630,752 | 3,820 | 634,572 | 89% | ||||
Earth Sciences | |||||||||||
escif | 600 | 500 | 23 | 0 | 23 | 5% | |||||
escid | 2,200 | 2,000 | 294 | 0 | 294 | 15% | |||||
escip | 43,400 | 41,300 | 39,812 | 0 | 39,812 | 96% | |||||
escis | 1,800 | 1,200 | 1,662 | 0 | 1,662 | 138% | |||||
esciw | 9,600 | 9,600 | 8,634 | 0 | 8,634 | 90% | |||||
Earth Sciences | TOTAL | 57,600 | 54,600 | 50,425 | 0 | 50,425 | 92% | ||||
Mathematics & Statistic | |||||||||||
matha | 50,000 | 47,700 | 53,408 | 0 | 53,408 | 112% | |||||
mathf | 6,500 | 6,500 | 4,240 | 2,609 | 6,849 | 105% | |||||
mathd | 4,300 | 4,300 | 8,162 | 338 | 8,500 | 198% | |||||
mathp | 257,500 | 257,500 | 228,266 | 474 | 228,740 | 89% | |||||
maths | 2,200 | 10,900 | 2,019 | 0 | 2,019 | 19% | |||||
mathw | 10,000 | 3,500 | 9,263 | 0 | 9,263 | 265% | |||||
Mathematics & Statisti | TOTAL | 330,500 | 330,400 | 305,358 | 3,421 | 308,779 | 93% | ||||
Physics | |||||||||||
physa | 24,000 | 23,000 | 29,406 | 0 | 29,406 | 128% | |||||
physf | 7,500 | 7,500 | 5,165 | 284 | 5,449 | 73% | |||||
physd | 2,000 | 2,000 | 1,724 | 657 | 2,381 | 119% | |||||
physp | 504,300 | 487,300 | 462,634 | 0 | 462,634 | 95% | |||||
physs | 7,600 | 7,100 | 7,017 | 0 | 7,017 | 99% | |||||
Physics | TOTAL | 545,400 | 526,900 | 505,947 | 941 | 506,888 | 96% | ||||
SCIENCE | TOTAL | 2,396,100 | 2,322,700 | 2,181,644 | 13,556 | 2,195,200 | 95% | ||||
Departments/Faculties | TOTAL | 5,090,100 | 4,949,120 | 4,837,738 | 131,135 | 4,968,872 | 100% | ||||
Miscellaneous | |||||||||||
Athletics/Recreation | |||||||||||
athla | 0 | 0 | 0 | 0 | 0 | **% | |||||
athlf | 500 | 500 | 0 | 0 | 0 | 0% | |||||
athld | 500 | 550 | 0 | 0 | 0 | 0% | |||||
athlp | 2,700 | 2,600 | 2,460 | 0 | 2,460 | 95% | |||||
athls | 600 | 600 | 525 | 0 | 525 | 87% | |||||
Athletics/Recreation | TOTAL | 4,300 | 4,250 | 2,985 | 0 | 2,985 | 70% | ||||
Belzberg Lib Total | |||||||||||
belza | 0 | 0 | 0 | 0 | 0 | **% | |||||
belzf | 9,900 | 9,500 | 6,810 | 748 | 7,558 | 80% | |||||
belzd | 15,200 | 14,500 | 11,897 | 6,923 | 18,820 | 130% | |||||
belzp | 10,300 | 9,600 | 9,026 | 20 | 9,046 | 94% | |||||
belzs | 32,000 | 25,000 | 36,874 | 139 | 37,013 | 148% | |||||
bnews | 20,900 | 19,300 | 19,810 | 0 | 19,810 | 103% | |||||
bdtbd | 2,100 | 2,100 | 0 | 0 | 0 | 0% | |||||
bdtbs | 500 | 0 | 445 | 0 | 445 | **% | |||||
Belzberg Lib Total | TOTAL | 90,900 | 80,000 | 84,863 | 7,830 | 92,693 | 116% | ||||
Databases | |||||||||||
Databases General | |||||||||||
dtbd | 1,500 | 1,500 | 788 | 0 | 788 | 53% | |||||
dtbs | 190,000 | 136,100 | 152,314 | 0 | 152,314 | 112% | |||||
Databases General | TOTAL | 191,500 | 137,600 | 153,102 | 0 | 153,102 | 111% | ||||
Research Data Library | |||||||||||
rdld | 500 | 500 | 0 | 270 | 270 | 54% | |||||
rdls | 50,000 | 34,100 | 49,466 | 0 | 49,466 | 145% | |||||
rdlw | 8,800 | 8,800 | 0 | 0 | 0 | 0% | |||||
Research Data Library | TOTAL | 59,300 | 43,400 | 49,466 | 270 | 49,736 | 115% | ||||
Databases | TOTAL | 250,800 | 181,000 | 202,567 | 270 | 202,837 | 112% | ||||
General Humanities | |||||||||||
huma | 0 | 0 | 0 | 0 | 0 | **% | |||||
humf | 1,000 | 1,000 | 0 | 29 | 29 | 3% | |||||
humd | 1,100 | 1,000 | 1,231 | 328 | 1,559 | 156% | |||||
hump | 5,700 | 5,200 | 5,309 | 359 | 5,668 | 109% | |||||
hums | 7,300 | 3,900 | 6,772 | 0 | 6,772 | 174% | |||||
humw | 9,400 | 8,800 | 9,117 | 0 | 9,117 | 104% | |||||
General Humanities | TOTAL | 24,500 | 19,900 | 22,429 | 716 | 23,146 | 116% | ||||
General Library | |||||||||||
gliba | 200 | 200 | 511 | 0 | 511 | 255% | |||||
glibf | 2,500 | 2,500 | 1,171 | 437 | 1,609 | 64% | |||||
glibd | 15,000 | 13,700 | 204,266 | 2,504 | 206,770 | 1509% | |||||
glibp | 47,500 | 20,300 | 20,068 | 35 | 20,103 | 99% | |||||
glibs | 129,800 | 104,000 | 105,783 | 294 | 106,076 | 102% | |||||
glibw | 15,800 | 15,800 | 7,348 | 0 | 7,348 | 47% | |||||
General Library | TOTAL | 210,800 | 156,500 | 339,147 | 3,270 | 342,416 | 219% | ||||
General Newspapers | |||||||||||
gnews | 72,100 | 69,400 | 76,418 | 0 | 76,418 | 110% | |||||
gneww | 700 | 700 | 1,314 | 0 | 1,314 | 188% | |||||
General Newspapers | TOTAL | 72,800 | 70,100 | 77,732 | 0 | 77,732 | 111% | ||||
General Sciences | |||||||||||
gscia | 2,000 | 1,700 | 7,437 | 0 | 7,437 | 437% | |||||
gscif | 1,000 | 900 | 42 | 707 | 749 | 83% | |||||
gscid | 700 | 700 | 278 | 35 | 313 | 45% | |||||
gscip | 18,200 | 18,200 | 20,082 | 0 | 20,082 | 110% | |||||
gscis | 13,800 | 13,800 | 4,503 | 0 | 4,503 | 33% | |||||
gsciw | 35,400 | 35,400 | 34,164 | 0 | 34,164 | 97% | |||||
General Sciences | TOTAL | 71,100 | 70,700 | 66,506 | 742 | 67,248 | 95% | ||||
General Social Sciences | |||||||||||
gsoca | 200 | 250 | 96 | 0 | 96 | 38% | |||||
gsocf | 500 | 2,000 | 0 | 0 | 0 | 0% | |||||
gsocd | 4,000 | 2,000 | 3,127 | 3,772 | 6,898 | 345% | |||||
gsocp | 29,000 | 27,600 | 22,655 | 0 | 22,655 | 82% | |||||
gsocs | 40,000 | 32,200 | 31,502 | 0 | 31,502 | 98% | |||||
gsocw | 13,900 | 12,000 | 12,926 | 0 | 12,926 | 108% | |||||
General Social Sciences | TOTAL | 87,600 | 76,050 | 70,307 | 3,772 | 74,078 | 97% | ||||
GST Monogs & US Serials | |||||||||||
gsts | 0 | 100 | 0 | 0 | 0 | 0% | |||||
gsta | 0 | 0 | 0 | 0 | 0 | **% | |||||
GST Monogs & US Serials | TOTAL | 0 | 100 | 0 | 0 | 0 | 0% | ||||
0 | 0 | ||||||||||
Maps | 0 | ||||||||||
mapsa | 0 | 0 | 0 | 0 | 0 | **% | |||||
mapsf | 1,000 | 400 | 909 | 432 | 1,340 | 335% | |||||
mapsd | 1,900 | 2,500 | 246 | 408 | 654 | 26% | |||||
mapsp | 500 | 600 | 192 | 0 | 192 | 32% | |||||
mapss | 1,300 | 1,100 | 1,360 | 0 | 1,360 | 124% | |||||
Maps | TOTAL | 4,700 | 4,600 | 2,707 | 840 | 3,547 | 77% | ||||
Replacement Monogs/Seri | |||||||||||
repld | 5,000 | 0 | 0 | 81 | 81 | **% | |||||
replp | 0 | 0 | 0 | 16 | 16 | **% | |||||
repls | 0 | 0 | 0 | 349 | 349 | **% | |||||
Replacement Monogs/Seri | TOTAL | 5,000 | 0 | 0 | 445 | 445 | **% | ||||
Contempary Literature Collection | |||||||||||
clca | 2,800 | 0 | 0 | 0 | 0 | **% | |||||
clcf | 500 | 0 | 0 | 0 | 0 | **% | |||||
clcd | 16,700 | 0 | 0 | 0 | 0 | **% | |||||
clcp | 900 | 0 | 0 | 0 | 0 | **% | |||||
clcs | 0 | 0 | 0 | 0 | 0 | **% | |||||
Contempary Literature Collection | TOTAL | 20,900 | 0 | 0 | 0 | 0 | **% | ||||
Special Collections | |||||||||||
speca | 0 | 2,700 | 3,700 | 29 | 3,729 | 138% | |||||
specf | 0 | 500 | 0 | 0 | 0 | 0% | |||||
specd | 9,000 | 25,600 | 44,162 | 1,043 | 45,205 | 177% | |||||
specp | 0 | 900 | 1,420 | 0 | 1,420 | 158% | |||||
specs | 0 | 0 | 0 | 30 | 30 | **% | |||||
Special Collections | TOTAL | 9,000 | 29,700 | 49,282 | 1,102 | 50,384 | 170% | ||||
Miscellaneous | TOTAL | 852,400 | 692,900 | 918,524 | 18,987 | 937,512 | **% | ||||
Binding | |||||||||||
mbind | 50,000 | 76,700 | 62,160 | 0 | 62,160 | 81% | |||||
tbind | 30,000 | 29,800 | 35,767 | 0 | 35,767 | 120% | |||||
sbind | 95,000 | 102,500 | 99,105 | 0 | 99,105 | 97% | |||||
Binding | TOTAL | 175,000 | 209,000 | 197,033 | 0 | 197,033 | 94% | ||||
Interlibrary Loans | |||||||||||
illd | 160,000 | 0 | 0 | 0 | 0 | **% | |||||
Interlibrary Loans | TOTAL | 160,000 | 0 | 0 | 0 | 0 | **% | ||||
OPERATING BUDGET TOTAL | TOTAL | 6,277,500 | 5,851,020 | 5,953,295 | 150,122 | 6,103,417 | 104% | ||||