This chapter describes the
prevalence of gambling, including the differences in prevalence among various
segments of the population and for various forms of gambling including the
lottery, casino, and other forms of gambling.
Additionally, this chapter examines factors associated with gambling
including age of onset, influence of parental gambling, gambling and substance
use, advertising recall, and attitudes about gambling. The overall prevalence rates for gambling
presented in this chapter are estimates derived from a probability sample, and
as such are subject to a margin of error of ± 3%.
Some rates for subgroups may be associated with a slightly higher margin
of error due to the smaller sample sizes.
The majority of adolescents
gamble. Table 2.1. shows that
three-quarters of Oregon adolescents have gambled at least once in their lives
and 66% gambled within the last 12 months.
Table
2.1. Lifetime and One-year Gambling Prevalence Rates
(In Percent)
|
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
|
|
Total
(997) |
75.9 |
66.0 |
|
|
|
|
|
Gender
[5] |
|
|
|
Boys (539) |
81.3 |
74.0 |
|
Girls (459) |
73.7 |
57.1 |
|
|
|
|
|
Age [6] |
|
|
|
13 (151) |
69.3 |
58.9 |
|
14 (205) |
74.6 |
65.4 |
|
15 (221) |
76.9 |
66.1 |
|
16 (220) |
76.4 |
69.1 |
|
17 (200) |
80.4 |
68.5 |
|
|
|
|
|
Race |
|
|
|
Anglo (898) |
76.7 |
66.9 |
|
Non-Anglo (99) |
68.7 |
58.2 |
Boys are significantly more likely
to gamble than girls, and older youth are significantly more likely to gamble
than younger youth. Percentages
reported are row percentages. Thus, 74%
of the 539 boys in the sample reported gambling last year compared to 57.1% of
the 459 girls in the sample [7]. Although previous studies have shown a
relationship between race and gambling (Wallisch, 1996) our sample does not
bear this out.
Although most youth gamble, only
one-third of the sample reported gambling on the lottery in the 12 months prior
to the survey. Table 2.2 shows the
rates of lottery playing. The patterns
of lottery play are similar to gambling overall: Boys and older adolescents are
more likely to play the lottery than are girls and younger adolescents.
Table
2.2. Lottery Gambling
(In Percent)
|
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
|
|
Total
(997) |
38.9 |
29.6 |
|
|
|
|
|
Gender [8] |
|
|
|
Boys (539) |
42.3 |
33.3 |
|
Girls |
34.9 |
25.3 |
|
|
|
|
|
Age [9] |
|
|
|
13 (151) |
35.1 |
25.8 |
|
14 (205) |
38.5 |
27.3 |
|
15 (221) |
39.5 |
29.5 |
|
16 (220) |
37.3 |
27.3 |
|
17 (200) |
43.2 |
37.7 |
|
|
|
|
|
Race |
|
|
|
Anglo (898) |
39.5 |
30.1 |
|
Non-Anglo (99) |
32.7 |
25.3 |
|
|
|
|
Table 2.3 identifies the most
popular lottery games for 13 to 17 year olds.
Nearly 23% of the sample reported playing scratch-off tickets; Sports
Action and Keno, respectively, are the next most popular lottery games,
however, less the 10% of the sampled played either of these games.
Table
2.3. Lottery Gambling by Game
(In Percent)
|
Lottery Game |
Percent |
|
|
|
|
Scratch-its |
22.6 |
|
Sports
Action |
7.8 |
|
Keno |
5.3 |
|
Pull-tabs |
4.6 |
|
Powerball |
4.6 |
|
Video
Poker |
4.3 |
|
Megabucks |
3.3 |
|
Daily
four |
0.8 |
|
|
|
Although minors are not legally allowed to purchase lottery tickets, approximately 35% of those who had gambled on the lottery indicated they had done so in the 12 months preceding the survey (see Table 2.4). Most of the illegally purchased lottery tickets were purchased in grocery stores. The majority of young lottery players, however, obtain the tickets from family members (50%).
Table
2.4. Where Lottery Tickets are Obtained
(In Percent)
|
Access Type |
Percent |
|
|
|
|
Buy
them myself at a convenience store |
12.9 |
|
Buy
them myself at a grocery store |
18.6 |
|
Buy
them myself at a vending machine |
1.3 |
|
Buy
them myself at a deli, restaurant, tavern, or bar |
2.4 |
|
A
parent, sibling, or other relative buys them for me |
50.0 |
|
Other |
15.0 |
|
|
|
|
Total
(379) |
100.0 |
|
|
|
Table 2.5 shows the rates of
reported illegal casino gambling.
Approximately 19% of the sample reported betting money at a casino at
least once in their life and approximately 12% (± 2) of the sample did so last year.
Table
2.5. Casino Gambling
(In Percent)
|
Group (N) |
Gambled Lifetime |
Gambled Past 12 Months |
|
|
|
|
|
Total
(997) |
18.6 |
12.1 |
|
|
|
|
|
Gender |
|
|
|
Boys (539) |
18.6 |
13.4 |
|
Girls (459) |
18.6 |
10.5 |
|
|
|
|
|
Age |
|
|
|
13 (151) |
13.9 |
7.3 |
|
14 (205) |
19.0 |
11.7 |
|
15 (221) |
22.7 |
15.0 |
|
16 (220) |
14.5 |
10.5 |
|
17 (200) |
21.6 |
15.0 |
|
|
|
|
|
Race[10] |
|
|
|
Anglo (898) |
17.6 |
11.8 |
|
Non-Anglo (99) |
28.3 |
15.2 |
|
|
|
|
The pattern of casino gambling is
somewhat different than other forms of gambling. For example, teenage girls reported gambling in casinos as often
as did boys. Although there is a trend
towards older youth gambling in casinos more often that their younger
counterparts, it is not statistically significant. Non-Anglos were significantly more likely to have gambled at a
casino at least once in their lives, however, the one-year rates were not
significantly higher. Surprisingly,
about half of the casino gambling is done outside of Oregon. Of those who reported gambling in a casino
at least once in the last 12 months, 51% reported doing so outside Oregon. The remaining 49% reported gambling in a
casino in Oregon.
Other gambling activities in which
adolescents commonly engaged included purchasing raffle tickets, betting on
sports with friends or relatives, and playing cards for money (see Table
2.7). In fact, as Table 2.6 indicates,
youth were more likely to participate in these other forms of gambling than
play the lottery or gamble in a casino.
Table
2.6. Other Gambling Activities
(In Percent)