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Calculate weighted average statistics of homosexuals

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The demographics of sexual orientation vary significantly, and estimates for the LGBT population are subject to controversy and ensuing debates. Obtaining precise number is difficult for a variety of reasons. One of the major reasons for the difference in statistical findings regarding homosexuality and bisexuality has to do with the nature of the research questions.

Major research studies on sexual orientation are discussed. Most of the studies listed below rely on self-report data, which poses challenges to researchers inquiring into sensitive subject matter. More importantly, the studies tend to pose two sets of questions. One set examines self-report data of same-sex sexual experiences and attractions while the other set examines self-report data of personal identification as homosexual or bisexual.

Fewer research subjects identify as homosexual or bisexual than report having had sexual experiences or attraction to a person of the same sex. Several studies of sexual orientation in countries provide comparative perspectives. Tables comparing several U. However, since many individuals may fail to report outside the heterosexual norm or define their sexuality in their own unique terms, it is difficult to fully grasp the size of the LGBT population.

The type of survey being used and the type of setting a subject is in while being surveyed may also affect the answer that the subject gives. Another significant distinction can be made Calculate weighted average statistics of homosexuals what medical statisticians call incidence and prevalence.

The population that has come to be referred to as "gay" in the West is not a descriptive term that would be recognized by all men who have sex with men MSM as known in the rest of the world. While gay culture is increasingly open and discussed, the world of MSM consists of a diverse population that often may respond differently depending on how communications in clinical settings are framed. Some men who have sex with other men Calculate weighted average statistics of homosexuals not relate to the term "gay" or homosexual, and do not regard sex with other men as sexual activity, a term they reserve for sexual relations with women.

This is particularly true among individuals from non-Western cultures. Nevertheless, it is common in the US.

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Terms such as MSM or "same gender loving" are often Calculate weighted average statistics of homosexuals in place of the word gay. Men in Africa and Latin America engage in sexual relationships with other men while still referring to themselves as "heterosexual", which is known as being on the " down-low ".

There is a lack of information on sexual behaviour in most developing Calculate weighted average statistics of homosexuals. The limited sources that are available indicate that although homosexual self-identification might occur relatively infrequently, the prevalence of homosexual behaviour is higher.

These men are not Calculate weighted average statistics of homosexuals into consideration in some sexual identity surveys which may lead to under-reporting and inaccuracies. Reliable Calculate weighted average statistics of homosexuals on Calculate weighted average statistics of homosexuals size of the gay and lesbian population would be valuable for informing public policy.

Two of the most famous studies of the demographics of human sexual orientation were Dr. These studies used a seven-point spectrum to define sexual behavior, from 0 for completely heterosexual to 6 for completely homosexual. Kinsey concluded that a small percentage of the population were to one Calculate weighted average statistics of homosexuals or another bisexual falling on the scale from 1 to 5.

His results, however, have been disputed, especially in by a team consisting of Calculate weighted average statistics of homosexuals TukeyFrederick Mosteller and William G.

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Cochranwho stated much of Kinsey's work was based on convenience samples Calculate weighted average statistics of homosexuals than random samplesand thus would have been vulnerable to bias. Paul GebhardKinsey's former colleague and successor as Calculate weighted average statistics of homosexuals of the Kinsey Institute for Sex Research[10] dedicated years to reviewing the Kinsey data and culling what he claimed were its purported contaminants.

InGebhard with Alan B. Johnson concluded that none of Kinsey's original estimates were significantly affected by the perceived bias, finding that Recent critiques of these studies have suggested that, because of their dependence on self-identification, they may have undercounted the true prevalence of people with a history of same-sex behavior or Calculate weighted average statistics of homosexuals. The study found that An update on the above study; it employs the same methodology, has a larger sample 20, respondents[14] Calculate weighted average statistics of homosexuals a Calculate weighted average statistics of homosexuals respondent age range 16— Bisexuals accounted for 1.

Women were significantly more likely than men to identify as bisexual, Calculate weighted average statistics of homosexuals less likely to report exclusively other-sex or same-sex attraction and experience. Similarly, more women reported same-sex experience and same-sex attraction.

More women identified as lesbian or bisexual than in — Both male and female bisexuality were more common among respondents under the age of Male bisexuality was also overrepresented among men in their sixties. Results are presented below by age and wave; total results per wave are displayed in the last column.

In the Calculate weighted average statistics of homosexuals wave, 4.

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Men outnumbered women among homosexuals in all age groups. For both sexes, the share identifying as homosexual in the last wave Calculate weighted average statistics of homosexuals highest in the 20—29 age group men: In an interactive voice response telephone survey of around 2, Canadians, 5.

Canadians Calculate weighted average statistics of homosexuals 18—34 were much more likely to identify as LGBT A random survey found that 2. A study of 20, people found that 4. In a nationally representative online survey of 7, French adults carried out by IFOP in early6. Compared to the heterosexual population, the homosexual population was much more likely to be male, single, and younger than 65, as well as to be living Calculate weighted average statistics of homosexuals. Homosexuals were more likely to Calculate weighted average statistics of homosexuals economically active and work in "superior intellectual professions" but on average had a smaller household income.

They were also more likely to be residing in big cities, especially in the region of Paris. The bisexual population had fewer statistically significant deviations from the heterosexual population, resembling the heterosexuals on some measures, homosexuals on others, or being at a midpoint on still some others. However, they were more likely to be aged 18—24 than the other Calculate weighted average statistics of homosexuals groups.

Calculate weighted average statistics of homosexuals homosexuals, they were also more likely to be single. Among LGBs, men outnumbered women by more than 2 to 1.

An LGB identity is also more common among people who said they have had more than 10 sex partners or none at all compared to those who have had intermediary levels of sexual experience. According to Yougov, [37] the following is how German adults are distributed along the Kinsey scale by age:. One percent of each sex was uncertain. A study of the responses of 7, individuals, conducted by the ESRIfound Calculate weighted average statistics of homosexuals 2.

A question based on a variant of the Kinsey scale found that 5. Of those surveyed, 7. It also found that 4. In a sample representative of the Israeli Jewish population aged 18 to 44, it was found that A non-heterosexual identity was more common in Tel Aviv than in other parts of the country and, among men, it Calculate weighted average statistics of homosexuals also correlated with younger age.

In a survey employing the Kinsey scale4. In the category of young adults, aged 18 to 24, 7. Compared to the larger population, more young adults also placed themselves on point 3 of the Kinsey scale, meaning that equal attraction to both sexes 4. Point 4 of the Kinsey scale, Calculate weighted average statistics of homosexuals a mostly homosexual orientation with major heterosexual attraction, contained a similar share of young adults and Calculate weighted average statistics of homosexuals adults 1.

An extended survey including all the people that during their lives fell or are in love with a same-sex individual, or that had sexual intercourse with a same-sex individual, increases the percentage to 6. More men than women, more northerners than southerners, more younger than older people identified themselves as homosexuals. Members of families spread over Italian municipalities took part in the survey. A survey by the Dentsu group estimated that 5.

In a face-to-face survey carried out by the Dutch National Survey of General Practice, of the 4, men with a valid answer to Calculate weighted average statistics of homosexuals sexual orientation question, 1.

Compared with heterosexual men, gay...

Of the 5, women, 1. In a nationally representative, online sample of men and women, 3. Self-identification was assessed on a 5-point scale and all three non-exclusive options were combined for bisexual self-identification. Same-sex attraction is more prevalent than homo- or bisexual orientation. Of the men, 9.

Among women, this was Of the Calculate weighted average statistics of homosexuals, 3.

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For women, these percentages were 1. Gay or bisexual self-identification without same-sex attraction was almost non-existent. However, not all men and women who felt attracted to their own gender identified as gay or bisexual. Same-sex sexual behavior did occur among men and women who neither reported any same-sex attraction or a gay or bisexual identification, especially when lifelong sexual behavior was considered. In an anonymous survey of 8, New Zealand secondary school Calculate weighted average statistics of homosexuals conducted by the University of Auckland0.

The Dunedin Multidisciplinary Health and Development Study is a prospective Calculate weighted average statistics of homosexuals that looked at changes in sexual behavior, attraction, and identity among Calculate weighted average statistics of homosexuals 1, New Zealanders born in or The study found a strong decrease in the share of women who self-reported exclusive heterosexual attraction from age 21 By contrast, among men, the share self-reporting exclusive heterosexual attraction remained largely stable between ages 21 Sexual identity was only assessed at ages 32 and At age 32, 0.

At age 38, 1.

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While Calculate weighted average statistics of homosexuals attraction changed more for Calculate weighted average statistics of homosexuals than for men, changes among men were more consistently to greater Calculate weighted average statistics of homosexuals, while changes among women past age 26 occurred equally in both directions i.

Researchers discussed several factors behind the changes, from age effects to cultural effects, with homosexuality, especially female homosexuality, becoming more socially acceptable in the West in the s and s. According to results from the fifth wave of the New Zealand Attitudes and Values Study, which interviewed over 14, people about their sexual orientation, Women in all the non-heterosexual categories were significantly younger than women in the heterosexual category.

Men in the gay, bisexual, and bicurious categories were also significantly younger than heterosexual men. In a random survey of 6, Norwegians, 3.

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