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Gambling statistics america

In severe cases, it almost seems like the addicted person experiences a personality shift, but it is possible for a person to hide a gambling addiction and continue working and participating in everyday life, all while consequences build up behind the scenes. That adds up to nearly 10 million people in the United States who struggle with a gambling habit. This issue adds up to approximately 6 billion dollars each year, which impacts the U.

Gambling costs American taxpayers. Ten states and the District of Columbia do not offer any publicly funded gambling assistance. These funding discrepancies mean that public treatment services can vary widely from state-to-state, and the level of care in publicly funded programs also varies greatly.

The U. The result is a patchwork of awareness campaigns and treatment programs that vary widely in their responsiveness. States that discourage or prohibit gambling tend to not offer awareness campaigns, and as a result, people who gamble through their phones or computers may be missing information about the dangers of gambling. Awareness of the problem is key to making changes for the better. The next day, I was already contemplating going back. Because this particular problem directly impacts family and personal finances, family members who have gambling problems often hide their issue and feel a great deal of shame and secrecy.

In severe cases, the problem may go undetected until finances become a major issue. Gambling can destroy relationships, but it is possible to rebuild trust and rebuild finances. No gambling problem has to be permanent. Help is available. Integrated treatment for co-occurring disorders offers specialty treatment for problem gamblers. A co-occurring disorder happens when someone suffers from more than one problem, such as gambling and anxiety, or gambling and depression.

When you seek treatment that aids both concerns at the same time, healing can be more thorough and results will last longer. Gambling addiction is often progressive in nature, so it is important to seek treatment as quickly as possible. The only thing you need to get better is a willingness to accept help from others. Contact Skywood Recovery today to learn more about your options for a better life. We are here to help and our confidential helpline, can offer solutions for a better life.

The fourth state showed a slight decline. Surveys that were less than 4 years apart showed both increases and decreases in prevalence. Wiebe and Volberg did an updated analysis of replication studies. They found that U. Williams et al. S state replication studies and found that pairs of studies in the s tended to show increases, while replications that reached into the s tended to be stable or show declines. In addition to the analysis of replication studies, Williams and colleagues examined all of the prevalence studies that have been conducted internationally.

By comparing the different surveys, they estimated the effect of assessment instrument, administration method i. They then developed weighting factors that allowed the estimation of standardized, comparable rates for all the surveys. They used a statistical smoother to produce a smooth curve tracking the prevalence of problem gambling in the U.

This curve shows the prevalence rising from the late s through the late s, and falling thereafter. There is perhaps room for uncertainty about these conclusions. For example, states that had had several prevalence studies had a disproportionate influence on the results, compared with states that had no state surveys. That having been said, to our knowledge this report is the most complete study of this issue. While researchers have concentrated on problem gambling, the literature also mentions rates of gambling participation.

We compared rates of past-year participation in various forms of gambling between our survey and previous studies, and we found an increase in overall gambling participation in the U. This is consistent with the notion that gambling involvement in the U. Black et al. Gambling participation fell in the most recent sample, consistent with the notion that general gambling involvement fell in the s. There has been some consistency about the demographic patterns of gambling involvement found by different studies.

The University of Michigan national survey found problem gambling to be more common among men than women, more common among minorities than whites, and more common among young and middle-aged adults than among older adults. These patterns were repeated in our own national survey conducted in Welte et al.

Kessler et al. There is an interesting difference, however, between the demographic findings of the University of Michigan national survey and or own national survey. In , problem gambling was less common in the lowest income group, and more common among the more affluent. Kallick et al. Welte et al.

In the current study, we will investigate the persistence of this pattern. In this article, we will report on a comparison of results from two national telephone surveys of gambling, conducted by our research group in and in These surveys used the same assessment questions, the same mode of administration, and, in general, identical methods with one exception. The later survey contained a cell phone sample in addition to a predominantly landline sample, while the earlier survey had solely a landline sample.

These surveys constitute the only national replication study of gambling involvement that has been conducted in the U. All respondents gave informed consent for their inclusion in the study. Our research group at the Research Institute on Addictions RIA conducted two telephone surveys of gambling behavior and pathology in adults in the U. Twenty-six hundred and thirty-one 2, interviews were conducted for the first Survey of Gambling in the U.

Eligible respondents were persons 18 or older. Respondents in each landline household were recruited randomly by selecting the potential respondent with the next birthday. This has been shown to be equivalent to random selection Lavrakas and is less intrusive because it does not require listing all household members. Cell phones were assumed to be dedicated to the person who answered, and that person was recruited if they were 18 or older.

For both surveys, the telephone samples were purchased from Survey Sampling, Inc. Every landline phone number in the U. The samples were stratified by county and by telephone block within county. This resulted in samples that were spread across the U. Each telephone number in the landline samples was called at least seven times to determine if that number was assigned to a household containing an eligible respondent. Once a household was designated as eligible, the number was called until an interview was obtained or refusal conversion had failed.

Each number in the cell phone sample was called at least seven times in an attempt to determine whether that number was associated with an eligible respondent. Interviews for both surveys lasted from 20 to 50 minutes occasionally longer , depending on the answering speed of the respondents and the extent of their involvement with gambling, alcohol, and drugs. The median interview lasted slightly over 40 minutes.

First, weights were made directly proportional to the number of potential eligible respondents in the household, to compensate for the fact that a respondent who lived with more potential respondents had a lower chance of being selected. Second, the weights were adjusted to match the gender, age and race distribution in the U. Third, the weight variable was divided by its own mean, giving it a mean of one, so the weighted N equaled the true N.

Since some respondents could be reached by either landline or cell phone, weighting adjustments were needed to account for the differential probabilities of selection for respondents who could have been sampled via either the landline or the cell phone sampling frame, i.

The first step accounted for the probability of selection. Respondents were classified into three non-overlapping groups: landline only, cell phone only and both landline and cell phone. The probability of the respondent being selected was computed separately in each phone service group.

For landline-only respondents, the probability of respondent selection was the ratio of the landline sample size to the landline frame size, adjusted for the number of eligible respondents in the household as described above. For cell-phone-only respondents, the probability of selection was the ratio of the cell phone sample size to the cell phone frame size. For dual users, the probability of selection was the sum of the probabilities for cell and landline users.

Frame size figures were supplied by Survey Sampling, Inc. The second step adjusts for differential response rates by telephone usage group. To account for the differing response rates by telephone usage group, weights were re-scaled in each of the five telephone usage groups so that the percentages in each usage group, based on the re-scaled weights, were equal to the NHIS percentages above.

The third step further adjusted the weights for the gender, age and race distribution of the U. Data from the U. Census for the United States population 18 years and over was obtained from the U. Census Bureau American Factfinder web site. At the fourth step, the weight variable was divided by its own mean, giving it a mean of one, so the weighted N equaled the true N. These were: 1 raffles, office pools, and charitable gambling; 2 pulltabs; 3 bingo; 4 cards, not in a casino; 5 games of skill, e.

An overall gambling frequency variable was produced by summing the frequency of these types of gambling, and various gambling frequency variables were constructed by recoding this overall variable. Both surveys also included, for each type of gambling, a series of questions from which the last win or loss could be calculated. Also, our analysis has shown that the absolute value is strongly predictive of problem gambling, while the signed variable is not.

For purposes of comparing the two studies, this variable was corrected for change in the Consumer Price Index and expressed in constant dollars. A respondent who endorsed five or more of these items qualified as a pathological gambler, with three or more indicating either a problem or pathological gambler. Endorsement of five or more criteria is considered to be DIS pathological gambling, and endorsement of three or more criteria was considered to be DIS problem gambling.

In both studies, the measure of socioeconomic status was based on respondent years of education, occupational prestige and family income. Occupational prestige was measured using the method of Duncan updated Stricker Census, and these categories were subsequently recoded into scores based on the average prestige ratings given those categories by a U.

Neighborhood disadvantage was measured using a method that has been used by other researchers Boardman et al. The average population of these block groups was The block-level variables used to make the disadvantage scale were: 1 the percentage of households on public assistance, 2 the percentage of families headed by a female, 3 the percentage of adults unemployed, and 4 the percentage of persons in poverty.

These percentages were standardized and averaged with equal weights. Each respondent lived in a distinct block group, so these variables were independent across respondents. For SOGUS1, variables reflecting distance to various gambling establishments were created as follows.

The addresses of several types of gambling establishments were obtained from Outcault Associates Outcault These types of establishments were: Indian casinos, non-Indian casinos, embarkation points of riverboat and cruise-ship casinos, card rooms, dog tracks, harness racing tracks, quarterhorse tracks, ordinary horse tracks, and jai alai frontons.

The coordinate data were used to compute a set of proximity-to-gambling variables for each respondent. These proximity variables included radius variables e. Distance variables were computed using a formula which takes the curvature of the earth into account. For SOGUS2, variables reflecting distance for various gambling establishments were created in-house by our research group at the Research Institute on Addictions.

The latitude and longitude of gambling establishments was supplied by Casino City Press , the successor company of Outcault Associates. Proximity variables were computed using a formula which takes the curvature of the earth into account. Because of the large number of statistical tests that were conducted, a level of.

As can be seen, there are significant reductions in the percentage of respondents that gambled in the past year Among respondents who gambled at least once in the past year, there was a significant reduction in the average number of days on which they gambled Overall, it is clear that U.

Our measure of the gambling quantity, the average win or loss in dollars, increased noticeably but was not statistically significant. The remaining dependent variables in Table 2 reflect the prevalence of problem or pathological gambling. We can see that: 1 none of these differences are statistically significant, 2 roughly half increased and half decreased, and 3 total DSM plus SOGS symptoms for the two studies are virtually identical.

All indications are that the prevalence of gambling pathology in the U. Table 3 compares the two surveys on the percentage of respondents who played various types of gambling in the past year. The participation rates for six types of gambling have declined significantly, including lottery and office pools etc. Internet gambling was the only form of gambling in which the participation rate increased significantly, from 0. The left section of Table 4 compares across surveys the number of days that respondents played various types of gambling, averaged across all respondents who played that particular type.

Lottery and gambling at the track declined significantly. No type of gambling increased significantly. The right section of Table 4 compares across studies the average last win or loss in constant dollars for the various types of gambling. This measure of gambling quantity increased significantly for office pools, bingo and sports betting. It did not decline significantly for any type of gambling.

During the decade of the s, there apparently was a tendency for the frequency of gambling to decrease and for the size of bets to increase. The left section of Table 5 shows how the distribution of past-year gambling has changed between studies for various demographic groups. Statistical significance is based on a logistic regression in which past-year gambling is the dependent variable and the demographic variables plus study SOGUS1 vs.

SOGUS2 are the independent variables. The asterisks in column 4 indicate that the main effect of the demographic variable is significant at the. The distribution of past-year gambling across demographic categories is shown for the separate studies only when there is a statistically significant difference between studies, that is, when the demographic variable by survey SOGUS1 vs.

SOGUS2 interaction in the logistic regression is significant at the. Males are more likely than females to have gambled in the past year However, the main effect of age shows that there is a difference in past-year gambling percentages across age groups, and this distribution is also different between surveys. Figure 1 shows the pattern. However, the two surveys track closely for the three oldest age groups.

In the age group, however, the rate of past-year gambling declined substantially The last two demographic factors, SES and neighborhood disadvantage, did not have significant main effects on past-year gambling, nor did they have significant interactions between studies.

If percentages for separate studies are included, interaction is significant at the. The middle section of Table 5 shows how the distribution of frequent gambling gambling two times a week or more has changed between studies across various demographic groups. Gender, race, age, and SES are all related to frequent gambling. Men are twice as likely to gamble frequently as women.

Blacks have the highest The rates of frequent gambling are lowest in the youngest and oldest age groups. The tendency to gamble frequently increases in the 31 to 45 age group, and declines in the older age groups. The main effect of SES is significant because of a tendency for frequent gambling to be less common in the top third of SES. The interaction between SES and survey shows how the SES effect on frequent gambling has asserted itself in recent years.

Consistent in both studies is the fact that the highest SES respondents had the lowest rate of frequent gambling. The main effect of neighborhood disadvantage is not significant, but the distribution of frequent gambling across levels of neighborhood disadvantage changed between studies.

Figure 2 shows that in the survey, the rate of frequent gambling increased as neighborhoods became more disadvantaged. This effect disappeared in the more recent study. Between studies the SES effect became more pronounced, but the parallel neighborhood effect vanished. The rightmost section of Table 5 shows how the distribution of current problem gambling three or more DSM-IV pathological gambling criteria in the past year has changed between surveys across various demographic groups.

The main effects of all five of our demographic variables are significant. Combining across the two surveys, problem gambling is over twice as common among men as among women. However, the significant interaction points to an interesting finding — in the decade of the s, the prevalence of problem gambling increased substantially among men 4.

Combining across surveys, problem gambling is most common among blacks 8. The age and SES patterns of problem gambling are clear. The prevalence of problem gambling among adults is highest in the youngest age group, and falls off dramatically with age. The prevalence of problem gambling is highest in the lowest third of SES, and falls off dramatically with increasing SES. Combining across surveys, neighborhood disadvantage shows a clear trend with higher prevalence of problem gambling in the worst neighborhoods.

The significant interaction indicates that this neighborhood effect weakened between surveys. Figure 3 shows how the problem gambling by neighborhood disadvantage curve flattened out between surveys. The first notable result from the comparison of these two surveys is that rates of pathological and problem gambling remained stable during the decade of the s. This occurred even though there was a general expansion of legal gambling and liberalization of gambling laws in the U.

In our past research Welte, Wieczorek et al. This effect was still significant even with some possible confounding variables held constant. Thus, they should be affected similarly to the nation as a whole by changes in gambling laws. Therefore, we can ascertain whether exposure to casinos increased for the specific respondents interviewed in our surveys. Thus, exposure to casinos had increased, as expected.

Based on the theory that exposure to gambling venues promotes problem gambling, one would have expected rates of problem gambling to increase between the surveys. It seemed plausible that although rates of problem gambling had been increasing early in the decade, this increase was reversed by the economic problems that started in If gambling revenues declined, as was widely reported, this would likely mean that heavy gamblers were gambling less, and therefore might be less likely to become problem or pathological gamblers.

However, an examination of the economic trends in the gambling industry indicates that important gambling industries were not seriously disrupted. Horvath and Papp found that state lotteries continued to expand their business during the recent recession.

However, it is possible that the incidence of new gamblers declined during the downturn in the casino business, so that there were fewer new gamblers to be recruited into the ranks of problem gamblers a few years later, and that the progression of some veteran gamblers to problem status was slowed.

Another possible explanation is the theory of adaptation. When applied to gambling, the theory of adaptation LaPlante and Shaffer states that while initial increases in exposure to gambling venues lead to increases in rates of problem gambling, a population will eventually adapt and further negative consequences will not be forthcoming in spite of increased exposure. This might work by various mechanisms, including waning of novelty effects, development of interventions, and a reaction to increases in harmful consequences.

The apparent increase revealed in the literature in the prevalence of problem gambling during the s, combined with our results suggesting that problem gambling has held steady in the s, seems consistent with this theory. International experience with gambling replication surveys is mostly consistent with the theory of adaptation. The evidence shows a tendency for problem gambling rates to stabilize as opportunities to gamble expand. Abbot et al. Bondolfi et al. In Sweden, replication surveys showed that between and , past-year rates of problem gambling did not increase in spite of the fact that new forms of gambling and opportunities to gambling were introduced Abbott et al.

In a slightly discordant note, replication surveys in Britain Wardle et al. However, there was no increase from to , in spite of increases in gambling availability. It is clear that expansion of gambling exposure does not automatically lead to increases in the rates of problem gambling. Storer et al. On close examination, individual and population adaptation seem similar, as for example natural recovery might involve the inability to sustain expenditures.

We are not encouraged to take an exclusive stand on either side of this issue. On the one hand, the results reported here do not support the notion that restricting access to gambling opportunities is necessary to prevent large increases in the rates of problem gambling.

On the other hand, our own previous research and the results of Storer et al. The percentage of respondents who gambled in the past year, as well as the frequency of gambling among those who did gamble, declined between surveys. An examination of these figures for individual types of gambling shows that office pools and charitable gambling, lottery play, and bingo are among the types of gambling for which past-year participation declined.

In the case of lottery, frequency of play among those who did play in the past year also declined. While gamblers sometimes can bet heavily on any of these, they are games which tend to be associated with casual low-stakes play. It is possible that one reason that problem gambling rates did not decline while gambling participation declined is that the decline in participation tended to be among the less serious gamblers, who would not have become problem gamblers in any event.

Another possibility is that the decline in gambling frequency was offset by an increase in betting quantity. We further examined the decline between surveys of the frequency of gambling, and the increase between surveys in the size of the average win or loss, in an attempt to understand whether these changes were associated with casual or serious gamblers. The overall pattern was that for heavier gamblers the frequency declined less and the quantity increased much more than for lighter gamblers.

The size of win or loss has been shown to be a strong predictor of pathological gambling Welte, Barnes et al. Nevertheless, she noted, men remained significantly more involved in gambling than women. Our results from both surveys show that rates of past-year gambling, frequency of gambling among gamblers, and rates of problem gambling are all significantly higher among men than among women.

Frequent gambling and problem gambling were twice as high. In addition, while the rate of problem gambling among men increased between surveys, the rate of problem gambling among women declined. As with numerous other gambling surveys Williams et al. Asians had a somewhat higher prevalence than whites, but lower than the other minorities. In problem gambling prevalence research, minority Asian populations have demonstrated mixed results.

However, a California survey with an exceptionally large sample of Asians found that Asians had the lowest prevalence of problem gambling of any racial group, including whites Volberg et al. In our own survey of adolescent gambling in the U. The British and Canadian results are consistent with the informal reputation of Asians as gamblers, and the U.

The negative relationship between socio-economic status and gambling involvement continued during the decade and may have gotten stronger. In both surveys, the rate of problem gambling increased dramatically as SES declined. In our past work, we speculated that gambling pathology is particularly common among lower SES Americans because some of them are motivated to gamble by the desire to improve their financial status.

Our past work has also shown that frequent gambling and problem gambling were more common in disadvantaged neighborhoods, even after holding socio-economic status and race constant Barnes et al. Between the two surveys, this effect has disappeared in the case of frequent gambling and substantially weakened in the case of problem gambling.


The second place goes to the older age group, too, but this time, it contains people between 50 and 59 years old. Problem gambling statistics say that Italy had the most problem gamblers in , though, with 2. The estimated win amount from poker games in Nevada was On top of that, Las Vegas has a The number of visitors to Las Vegas equaled Gambling statistics from the United States say that Atlantic City did better in , with a revenue of 2. Chicago was in third place with 1.

Louis was in the last place with 1. New Jersey was in second place by the number of employees, with South Dakota and Oklahoma were practically tied for the last place, with 1. This number has been rising and falling over the past fifteen years, with there being commercial casinos in The number reached a climax in , with commercial casinos in the US.

Unlike the situation with commercial casinos, the number of tribal casinos has been steadily rising since That year, there were tribals around the US. The only significant drop was to in , but just the following year, the number rose to Even though some people tend to believe that gambling is a harmless fun activity, these gambling statistics indicate a different truth.

The best cure is to never even start, and hopefully, these stats have convinced you of that. As a student of English literature, Nikolina has always been passionate about reading and writing. This is evident in her poetry and short stories, but also in the articles she writes professionally. As someone with a lot to say and a strong opinion on almost any topic, you could say this was her dream job. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment.

Macau is a number one gambling revenue based on visitors, with dollars per person. Nevada has the highest gambling profits in the US, with The average adult lost just over dollars gambling in the US in France had the most casino visits in 33 million.

The total number of casino games in Nevada is 5. Las Vegas also brought in the largest revenue for commercial gaming in , with 6. There were somewhat more tribal casinos in the US in — General Gambling Statistics As with all addictive things, understanding the phenomenon of gambling is not easy. Gambling Commission Problem gamblers are those who have the potential for losing control and who continue to gamble even with negative consequences. University of North Carolina Wilmington This puts young people at a 2 or 3 times higher risk for problem gambling than adults.

Students who gamble are also prone to other risk behaviors. University of North Carolina Wilmington A quarter of these athletes were introduced to gambling before they even began high school. Online Gambling Statistics Gambling has gone online just like every possible aspect of our lives lately.

The estimated gross wins for in Europe are Statista Online sports betting brings Europe The size of the global online market is worth billion US dollars. Macau is number one for gambling revenue based on visitors with dollars per person.

Nevada has the highest gambling profits in the US with The average adult lost just over dollars gambling in the US, Statista Problem gambling statistics say that Italy had the most problem gamblers in , though, with 2. Statista The estimated win amount from poker games in Nevada was Statista Gambling statistics from the United States say that Atlantic City did better in , with a revenue of 2. Unsurprisingly, Nevada also had the most casino employees in Statista New Jersey was in second place by the number of employees, with Gambling industry statistics : The number of commercial casinos in the US was in Please do not hesitate to contact me.

The most important key figures provide you with a compact summary of the topic of "Gambling Industry in the U. Try our corporate solution for free! Single Accounts Corporate Solutions Universities. Popular Statistics Topics Markets.

Gambling Industry in the U. Published by Statista Research Department , Jul 24, Las Vegas Sands was the largest casino company in the world in , with revenues of around In a survey, 27 percent of those visiting casinos in Las Vegas said that they budgeted between zero and 99 U. Visiting casinos is not the only way to gamble.

Another growing segment of the gambling industry is online. The global market size of online gambling was forecasted to reach over 59 billion U. The largest share of this industry segment is made up of casino gambling and sports betting. This text provides general information. Statista assumes no liability for the information given being complete or correct.

Due to varying update cycles, statistics can display more up-to-date data than referenced in the text. Statistics on the topic. Total global gambling market gross gaming yield. Industry overview Top selected casino companies worldwide in , by revenue. Casinos U. Casino games Top casinos worldwide , by table game counts. Share of Americans who played blackjack, roulette, or poker in casinos , by age.

Nevada Casino gaming revenue in Nevada Number of slot machines and other mobile gaming devices in casinos Nevada Sports betting Nevada Sports betting: distribution of voice leaders U. Nevada sports book winning percentage from Super Bowl bets in the U. Go to report. Important key figures The most important key figures provide you with a compact summary of the topic of "Gambling Industry in the U.

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And in many cases, people are gambling because they have faced emotional and financial losses and they are trying to console themselves. There is a misconception among many people that problem gambling, another term for gambling addiction, is not a big deal.

The good news is that we find most people who get treatment are able to successfully stop gambling. People with this type of disorder are more likely to suffer from other types of mental health and substance abuse issues. Many gamblers also have an alcohol disorder or addiction, and over half were nicotine dependent. The emotional toll it takes on people is devastating, and in many cases a gambling addiction can also bring bouts of depression , and in extreme situations may lead to suicidal thoughts or tendencies.

People with a gambling addiction are also prone to anxiety , high stress and extreme sadness. When a gambler loses everything, their life will suddenly become hopeless and they fear what the future might bring. Physical symptoms of excessive gambling include problems sleeping, weight gain or loss, dark circles under the eyes and extreme headaches. How can you tell if someone has a gambling disorder? The American Psychiatric Association has developed guidelines and says that a person requires at least four of the following issues to take place during the past year:.

If you suspect that someone in your life is addicted to gambling or a compulsive gambler, you should know that there is help. Here are treatment options to consider:. According to the American Psychiatric Association, as of , there are no FDA-approved medications for the treatment of gambling disorder. There is, however, emerging scientific research that has shown that medications can be effective in reducing the intensity of urges and cravings for gambling.

Finally, Gamblers Anonymous has been beneficial in the lives of people who have an addiction; however, they must first admit they have a problem, which is often times the most difficult thing to do. House of Representatives among the 50 states. It can also be used to draw boundaries for state legislative and school districts. Besides using census data for the benefit of public services, you can also use it for genealogical research.

To protect the privacy of people who respond to the U. Census, all records are kept confidential for 72 years. Find out what genealogical information is available and where you can access it. View the latest QuickFacts statistics and estimates for the most popular topics. Zoom in and sort census data with interactive maps.

See U. View age and sex data to understand population change over time. Examine data by community such as city or ZIP code across many different surveys. Focus on the data and research from the Census. Surveys of businesses. Census Bureau will follow up with you in person by visiting your home.

Many government agencies have statistical information on a wide range of topics. You may need to do further research to find out which agency has the information you are looking for or can help you find it. Remember, keywords are important when doing a search. Make sure your keywords can help narrow down the search results.

For example, instead of trying a search for "education statistics," try something more specific like "campus security statistics" or "graduation rates. These federal agency programs collect, analyze, and disseminate statistical data and information:.

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You can explore the results of the surveys or find popular quick facts. The Census ended in October, Take a look back at the process. Your responses can help determine how much funding your local community will receive for public services. Census population data is used to divide the seats in the U. House of Representatives among the 50 states.

It can also be used to draw boundaries for state legislative and school districts. Besides using census data for the benefit of public services, you can also use it for genealogical research. To protect the privacy of people who respond to the U. Census, all records are kept confidential for 72 years. Find out what genealogical information is available and where you can access it. View the latest QuickFacts statistics and estimates for the most popular topics.

Zoom in and sort census data with interactive maps. See U. View age and sex data to understand population change over time. Examine data by community such as city or ZIP code across many different surveys. Focus on the data and research from the Census.

Surveys of businesses. Census Bureau will follow up with you in person by visiting your home. Many government agencies have statistical information on a wide range of topics. Gambling is one of the most lucrative vices in America. In preparation for Anti-Gambling Sunday September 21 , here are five facts you should know about gambling in America:. In , there were an estimated 5.

Of this number, 10, individuals were treated in U. These figures suggest that in state-funded treatment was provided to less than one quarter of one percent 0. Legalized gambling is available in every state except for Utah and Hawaii. Lotteries were illegal for most of the 20th century , but that changed in when New Hampshire—a state without an income tax— reinstituted a state lottery.

In , during the height of the recession, at least 22 of the 42 states with lotteries set sales records.