Simplified field tables z-scores Girls: 5 to 19 years (z-scores) Boys: 5 to 19 years (z-scores)
The widening gender gap in family support, combined with the increasing gender gap in school pressure, with girls experiencing both lower support and higher pressure than boys, points to a concerning trend that places adolescent girls at a higher risk of poorer mental health outcomes.
Girls reported higher levels of problematic social media use than boys (13% vs 9%). Over a third (36%) of young people reported constant contact with friends online, with the highest rates among 15-year-old girls (44%).
A couple decides to keep having children until they have the same number of boys and girls, and then stop. Assume they never have twins, that the "trials" are independent with probability...
Thanks to the answers I now understand why the ratio would be 1:1, which originally sounds counter intuitive to me. One of the reason for my disbelief and confusion is that, I know villages in China have the opposite problems of too high of boys:girls ratio. I can see that realistically, couples won't be able to continue to procreate indefinitely until they get the gender of child they want ...
Expected number of ratio of girls vs boys birth - Cross Validated
Percentiles: boys Boys chart- Length for age: birth to 6 months (percentiles) Boys chart- Length for age: birth to 2 years (percentiles) Boys chart- Length for age: 6 months to 2 years (percentiles) Boys chart- Height for age: 2 to 5 years (percentiles) Boys chart- Length/height for age: birth to 5 years (percentiles)
Body mass index-for-age (BMI-for-age) Charts z-scores: girls Girls chart- BMI-for-age: Birth to 2 years (z-scores) Girls chart- BMI -for-age: 2 to 5 years (z-scores) Girls chart- BMI -for-age: Birth to 5 years (z-scores)