Australia's Gambling Industries - Productivity Commission

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Table I.8 Summary of Victorian non-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. Alpine Shire 8 772 335 3 77 88 Bass Coast Shire 16 161 219 9 245 152 Borough of Queenscliff 2 633 263 1 35 133 City of Ballarat 56 703 242 15 638 113 City of Greater Bendigo 59 973 244 12 485 81 City of Greater Geelong 132 816 251 28 1 372 103 City of Greater Shepparton 37 878 268 7 323 85 City of Moorabool 15 230 278 2 60 39 City of Warrnambool 19 655 252 6 242 123 Rural City of Ararat 8 485 248 2 86 101 Rural City of Horsham 12 814 269 4 137 107 Rural City of Mildura 32 225 252 7 253 79 Rural City of Swan Hill 14 397 255 4 107 74 Rural City of Wangaratta 18 537 272 4 124 67 Rural City of Wodonga 20 627 300 4 162 79 Shire of Baw Baw 23 600 265 3 140 59 Shire of Campaspe 24 510 257 3 119 49 Shire of Central Goldfields 9 454 198 2 114 121 Shire of Colac Otway 14 611 253 5 121 83 Shire of Corangamite 12 585 266 2 49 39 Shire of Delatite 14 175 273 4 140 99 Shire of East Gippsland 28 077 218 12 351 125 Shire of Glenelg 14 723 257 5 121 82 Shire of Hepburn 9 982 203 3 75 75 Shire of La Trobe 48 909 232 18 685 140 Shire of Macedon Ranges 22 687 313 3 75 33 Shire of Mitchell 17 061 291 4 142 83 Shire of Moira 18 289 247 1 35 19 Shire of Mount Alexander 12 134 225 1 30 25 Shire of Murrindindi 9 120 257 1 20 22 Shire of Northern Grampians 9 638 242 3 88 91 Shire of South Gippsland 17 725 256 5 148 83 Shire of Southern Grampians 12 517 243 3 94 75 Shire of Strathbogie 6 856 210 1 30 44 Shire of Towong 4 634 241 1 20 43 Shire of Wellington 28 513 249 10 333 117 Surf Coast Shire 12 532 277 4 112 89 Data source: ABS (1996a) and VCGA (1998a). REGIONAL DATA ANALYSIS I.13
Table I.9 Summary of Queensland 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. $ Brisbane Central 57 081 338 60 1 161 203 496 East Inner 59 792 346 19 606 101 313 East Outer 41 048 308 17 565 138 234 North Inner 87 502 358 28 682 78 133 North Outer 202 143 331 58 1 603 79 169 South Inner 45 783 319 14 300 66 148 South Outer 98 880 304 28 889 90 223 West Inner 49 899 319 15 322 65 141 West Outer 71 844 345 17 366 51 84 Rest of Queensland Caboolture 71 936 257 32 767 107 251 Cairns 74 843 361 39 1 036 138 255 Darling Downs district 79 571 253 65 719 90 124 Far North district 79 225 262 45 605 76 131 Fitzroy district 83 587 303 57 902 108 188 Gold Coast 256 390 289 94 2 748 107 259 Ipswich 92 223 299 42 856 93 218 Logan 153 543 301 34 1 243 81 267 Mackay 48 307 304 34 767 159 325 Mackay district 36 515 357 34 431 118 205 Moreton district 43 381 257 36 339 78 122 Mount Isa 15 613 421 10 295 189 564 Northern district 47 283 257 38 406 86 147 Redcliffe 38 164 239 15 590 153 493 Redland Bay 73 870 309 25 772 105 275 Rockhampton 42 095 255 28 602 143 287 South-West, Central- 34 353 289 44 388 113 160 West and North-West districts Sunshine Coast 155 021 248 90 2 092 135 309 Toowoomba 65 800 262 33 757 115 225 Townsville 92 076 322 40 717 78 153 Wide Bay 160 314 216 105 1 923 120 234 Data source: ABS (1996a) and QOGR (1998b). I.14 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
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CLIENT SURVEY G.9
Page 145 and 146: CLIENT SURVEY G.11
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 and 194: Weighted results The Commission’s
Page 195: Table I.7 Summary of Victorian metr
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
Page 245 and 246: 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
Page 411 and 412:
—— and Winefield, A.H. 1996, Co
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——, Baxter, P., Boreham, P., Ha
Page 415 and 416:
Ferguson, B. 1996, A Note on the In
Page 417 and 418:
—— 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:
Page 425 and 426:
—— 1995b, Social impacts of urb
Page 427 and 428:
—— and Ohtsuka, K. 1999, ‘The
Page 429 and 430:
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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Australia's Gambling Industries - Productivity Commission

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