May I add one more small note, see how easy it becomes to understand an “order of estimate”; A good student, that is one with a good maths background, should immediately pick up, population ~ 1.19 million. 61.26 % male. 58.04 % female. (Not only literate but total male and female). Then even, one question can be asked, what is male-female disparity, in terms of their population. (That is, without regard, to any further attributes, such as literacy numbers, or purchasing power distributions etc, which are btw non-existent variables in India, because research in India means Governmental Apathy.)
Its a slightly tricky question, if you already note, there is a mistake in the above, The % is not scaled to 100. Its an over-estimation by a factor of 1.193, and the really smart student recognizes this, (s)he doesn’t go and change all calculations. See how all numbers came just from the first few digits of the given numbers; 11,92,948 >> 1.19 million, vs over estimation factor; 1.193 (or less precise 1.19). Male: 6,12,597 >> overestimated percentage: 61.26. Female; 5,80,351 >> overestimated percentage: 58.04.
You would know they are over-estimated, because these two numbers, male and female population, while exclusive parameters, hence must add up to normal: 100 or 1.00, added up to 61.26+58.04 = 119.30, or (61.26+58.04)/100 = 119.30/100 = 1.193, do you see how easily, without doing any further adding etc, I caught the actual overestimation factor, above, to be 1.193? Cool Huh? Just from the first few numbers. If maths runs in your mind, you can do all these, if it doesn’t, but you have the right numbers, you will be led to believe nobody would catch your mistakes, and lie about the numbers. Possible. Just from the numbers as are stated, we can, catch the inconsistency, thats why maths education is important. In-fact, I committed the mistakes and wanted to catch the inconsistency, and from the calculations gradually caught it, so a more consistent picture was envisaged.
read more Whats the population; if male and female literacy is given as percentage.