Australia's Gambling Industries - Productivity Commission

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Table I.6 Summary of New South Wales regional data Region Adult population Median weekly income per person Venues Gaming machines Gaming machines per 10 000 adults Average annual expenditure on gaming machines No. $ No. No. No. $ Sydney Canterbury-Bankstown 217 710 263 77 4 343 199 934 Central Western 202 720 293 138 7 149 353 1 472 Eastern Suburbs 188 395 427 98 3 356 178 766 Fairfield-Liverpool 215 058 258 65 4 190 195 924 Inner City 214 963 375 326 7 620 354 1 149 Inner Western 117 832 341 58 2 168 184 713 Lower Northern 214 443 471 80 2 702 126 544 Northern 125 286 245 205 2 813 225 404 Northern Beaches 166 798 418 55 2 276 136 536 North Western 80 920 249 167 2 174 269 570 Outer South Western 139 396 331 41 1 833 131 505 Outer Western 204 271 343 27 618 30 71 Saint George- 302 139 361 110 4 885 162 622 Sutherland South Eastern 132 000 286 183 3 686 279 596 Rest of NSW Blacktown-Baulkham Hills 247751 353 46 2 633 106 486 Central West 120 681 261 221 2 496 207 460 Far West 18 542 206 37 479 258 563 Gosford-Wyong 193 731 260 74 4 096 211 730 Hornsby-Kurringgai 175 814 418 41 1 093 62 253 Hunter 401 931 251 380 9 596 239 581 Illawarra 266 391 250 175 5 954 224 640 Mid North Coast 186 518 215 181 4 266 229 547 Murray 78 383 264 151 5 128 654 1 483 Murrumbidgee 99 402 283 172 2 651 267 529 Richmond-Tweed 143 045 227 125 4 426 309 784 Data source: ABS (1996a) and DGR (1999b). REGIONAL DATA ANALYSIS I.11
Table I.7 Summary of Victorian metropolitan data by Local Government Area Local Government Area Adult population Median weekly income per person Venues Gaming machines Gaming machines per 10 000 adults No. $ No. No. No. City of Banyule 86 643 328 11 628 72 City of Bayside 64 274 379 10 294 46 City of Boroondara 115 135 401 7 261 23 City of Brimbank 107 376 249 15 787 73 City of Casey 98 466 351 10 726 74 City of Darebin 98 446 241 19 1 054 107 City of Frankston 77 086 303 9 545 71 City of Glen Eira 92 211 336 12 681 74 City of Greater Dandenong 95 244 245 15 1 156 121 City of Hobsons Bay 56 692 290 10 529 93 City of Hume 79 590 297 13 699 88 City of Kingston 96 743 303 16 938 97 City of Knox 93 656 346 12 911 97 City of Melbourne 33 049 326 23 1 129 342 City of Manningham 81 357 343 6 511 63 City of Maribyrnong 46 707 201 15 804 172 City of Maroondah 68 589 337 8 477 70 City of Monash 122 585 312 14 1 027 84 City of Moreland 104 936 244 17 800 76 City of Moonee Valley 83 845 304 18 848 101 City of Port Philip 63 135 392 10 482 76 City of Stonnington 70 678 434 8 391 55 City of Whittlesea 72 838 293 9 580 80 City of Wydham 50 523 348 9 511 101 City of Yarra 54 348 329 13 442 81 Shire of Cardinia 28 669 313 5 172 60 Shire of Melton 26 222 315 3 197 75 Shire of Mornington Peninsula 84 676 273 19 838 99 Shire of Nillumbik 37 870 397 4 147 39 Shire of Yarra Ranges 93 331 319 9 388 42 Data source: ABS (1996a) and VCGA (1998a). I.12 GAMBLING
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Australia’s Gambling Industries I
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Contents of other volumes Volume 1
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Australian Capital Territory Federa
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Tasmania Wrest Point Casino New Zea
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Marianne James Prof Jan McMillen Pe
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Canberra, 30 November 1998 Senator
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Sydney, 16-17 September 1999 Rev Fr
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N Ward 28 Evelyn Jago 29 Territory
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Australian Hotels Association (SA)
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Women’s Health West 176 Norfolk I
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BetSafe Group - Paul Symond Consult
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B Participation in gambling: data t
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Table B.2 Participation in gambling
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Table B.4 Participation in gambling
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product in excess of the price paid
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C.2 Consumer surplus in the gamblin
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from increased consumption resultin
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Figure C.2 Tax and consumer surplus
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Table C.3 Price elasticities of dem
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Figure C.3 Consumer surplus for pro
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Box C.1 continued (e) That part of
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Table C.4 continued Wagering Lotter
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s n = share of gambling expenditure
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Figure C.6 Demand for gambling by p
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• the triangular area ’g’ whi
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The Commission’s treatment falls
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Box C.4 Explaining the lack of vari
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demand may become elastic, as peopl
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There are a number possible explana
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• Firstly, there has been extraor
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E Gambling in indigenous communitie
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The pattern of institutionally-base
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chase the “miracles” offered by
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F National Gambling Survey F.1 Intr
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F.2 The questionnaire Development o
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The use of this sampling approach m
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Box F.1 List of gambling activities
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• Big spending regular or less fr
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Questions asked of all respondents
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Comparisons of aggregate expenditur
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elated to their gambling — all
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Interview duration As with any ques
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ecause of non-payment), while there
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• post-weighting the sample data
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particular area/age/gender cell fro
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esult in turn reflects the survey p
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F.11 Contact and participation rate
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Being aware of the need to minimise
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NATIONAL GAMBLING SURVEY F.31
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F.52 GAMBLING
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F.54 GAMBLING
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F.56 GAMBLING
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F.58 GAMBLING
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F.60 GAMBLING
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F.62 GAMBLING
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F.64 GAMBLING
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F.66 GAMBLING
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G Survey of Clients of Counselling
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G.3 Question by question A1 to A3
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D23 — is concerned with the mecha
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of problem gambling (eg how many ch
Page 143 and 144: CLIENT SURVEY G.9
Page 161 and 162: Problem gamblers may subsequently b
Page 163 and 164: For a subset of 856 clients in 1996
Page 165 and 166: Table H.3 Variable Logistic estimat
Page 167 and 168: Prison, South Australia’s main re
Page 169 and 170: • “Has your gambling ever led y
Page 171 and 172: elicit information on vocational, f
Page 173 and 174: This finding is consistent with the
Page 175 and 176: H.5 What crimes do problem gamblers
Page 177 and 178: Other more violent crimes such as b
Page 179 and 180: But as noted above, police statisti
Page 181 and 182: H.8 Problem gambling and loan shark
Page 183 and 184: epayments were required — but mos
Page 185 and 186: State Gaming Authorities data The s
Page 187 and 188: Table I.2 Unweighted estimation Med
Page 189 and 190: machines. There is no statistically
Page 191 and 192: Figure I.2 Expenditure on gaming ma
Page 193: Weighted results The Commission’s
Page 197 and 198: Table I.9 Summary of Queensland reg
Page 199 and 200: it is likely to represent the more
Page 201 and 202: Table J.1 presents the information
Page 203 and 204: suffer from some of the adverse con
Page 205 and 206: • costs of gambling counselling s
Page 207 and 208: To the extent that borrowed money i
Page 209 and 210: This fee is only taken in estates w
Page 211 and 212: • for a higher estimate, the numb
Page 213 and 214: The Commission has assumed that the
Page 215 and 216: • to estimate the income lost ove
Page 217 and 218: the Commission has used this estima
Page 219 and 220: • 336 people receiving a jail sen
Page 221 and 222: states offer up to $50 000 each for
Page 223 and 224: As indicated in table J.6, where pr
Page 225 and 226: seen as part of the informal contra
Page 227 and 228: Almost all divorce cases are uncont
Page 229 and 230: of their gambling during the period
Page 231 and 232: Suicide ideation The Commission’s
Page 233 and 234: Table J.10 continued People a Per p
Page 235 and 236: Table J.12 Value of annual transfer
Page 237 and 238: pathological and problem gamblers a
Page 239 and 240: Table K.2 Summary of cost estimates
Page 241 and 242: L Survey of Counselling Services Th
Page 243 and 244: Several academics working in the ar
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L.4 Survey results Nature of agenci
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Number of clients The survey includ
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Characteristics of gambling clients
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counselling because of someone else
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Table L.17 Full time equivalent pai
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Table L.20 Approaches used to help
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Table L.24 Gambling clients ending
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More specifically, agencies said fu
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Centacare (Whyalla) Centre for Anxi
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SURVEY OF COUNSELLING SERVICES L.23
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Table M.1 Major forms of gambling t
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and sport development fund. In some
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Tax on keno In New South Wales, the
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Poker machines In most states, lice
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Table M3: Gaming machine taxation b
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Table M3: (continued) Hotels: Levie
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Table M4: (continued) NSW VIC QLD W
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Table M5: (continued) OTHER GAMBLIN
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N.1 Characteristics of machines of
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Table N.1 Australia, Japan, United
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Table N.2 Australia, Indiana, Conne
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The following discussion of gaming
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Canada Broadly speaking, Canada has
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Figure N.4 Japanese pachislo machin
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Winnings Progressive jackpots are p
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Bets and losses Bets and losses on
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In Japan, the minimum amount requir
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N.2 Market segments As with many ot
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Box N.4 Comments on market segments
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O Displacement of illegal gambling?
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survive together because they cater
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P Spending by problem gamblers The
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Table P.1 Outlays, player losses an
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Table P.3 Concentration of outlays
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Figure P.2 Distribution of outlay b
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Table P.4 Expenditure shares of pro
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is adjusted for biases in its estim
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ACIL (sub. D233. p. 48) claimed tha
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P.5 Estimating the expenditure shar
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expenditures shares are shown in ta
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of counselling agencies is necessar
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Table Q.2 Employment status of prob
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Table Q.3 continued Study Average a
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Relationship status The greater inv
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Table Q.6 Gender of problem gambler
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The pattern of an increased feminis
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R Bankruptcy and gambling This appe
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Table R.2 Age profile of bankrupts,
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Table R.5 New bankruptcies per mill
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Figure R.2 continued Western Austra
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• The penalty has become less sev
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S State and territory gambling data
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Table S.4 Real government revenue f
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Table S.8 Real government revenue,
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Table S.12 Real government revenue
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Dickerson et al (1998, p. 79) for e
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However, the survey used a set of p
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T.3 The logistic approach The NORC
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Table T.3 Method Various estimates
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such as France and the US (Casino I
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Table U.2 An example of an outcome
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intensity on the 85.15 per cent Cas
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considers that the machine price
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egular playing (30 years) the proba
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for an amount of time that is less
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U.6 The gambler’s fallacy Gambler
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This does not mean that a person ca
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V Use of the SOGS in Australian gam
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Differences in question wording and
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References AADAC (Alberta Alcohol a
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—— 1998, Efficient Tobacco Taxa
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Bickerdyke, I. and Lattimore, R. 19
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——, Dickerson, M. and Harley, B
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Campbell, C. and Smith G. 1998, Can
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—— and Winefield, A.H. 1996, Co
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——, Baxter, P., Boreham, P., Ha
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Ferguson, B. 1996, A Note on the In
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—— 1997, Legalised Gambling as
Page 419 and 420:
Horner, T. and Bradfield, G. 1998,
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——, Marston, A., Singer, R., Wi
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Gambling Studies, ‘Towards 2000:
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—— 1995b, Social impacts of urb
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—— and Ohtsuka, K. 1999, ‘The
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NT Select Committee (Select Committ
Page 431 and 432:
Prosser, G., Breen, H., Weeks, P. a
Page 433 and 434:
Single, E., Collins, D., Easton, B.
Page 435 and 436:
Thomas, S., Jackson, A., Thomason,
Page 437 and 438:
—— 1997, Gambling and Problem G
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