Question:

The table below shows the drop-out rates, in percentage, at the Primary level (Classes I-V), the Elementary level (Classes I-VIII), and the Secondary level (Classes I-X) in India, separately for boys, girls, and the total, for the years 1996-97 to 2004-05.

Gender bias is defined as the disproportion between the drop-out rate of boys and the drop-out rate of girls, at a given level.

Assume that every year, girls make up 55% of the students entering school, so boys make up 45%. Taking the number of students entering as the same fixed number each year, in which of the following years, as compared to the year before it, would the number of boys who reach secondary education be more than the number of girls who reach secondary education?

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Work out the number of boys and girls who reach secondary level as a share of those entering, 45% boys and 55% girls, using each year's secondary drop-out rate, then compare the two.
Updated On: Jul 10, 2026
  • 1996-97
  • 1997-98
  • 2000-01
  • 1998-99
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The Correct Option is B

Solution and Explanation

Step 1: Set up the number of boys and girls who enter school.
If \(N\) students enter Class I in a given year, and girls are 55% of them, then \(0.45N\) are boys and \(0.55N\) are girls. We need the number who reach secondary education, which means the number who do not drop out by the secondary level.

Step 2: Turn secondary drop-out rates into head counts.
If \(b\) is that year's secondary drop-out rate for boys and \(g\) is the rate for girls, the number of boys who reach secondary level is \(0.45N(1-b/100)\) and the number of girls is \(0.55N(1-g/100)\). We want the year where \(0.45(1-b/100) > 0.55(1-g/100)\).

Step 3: Apply this test to each of the five listed years using the table's secondary boys and girls rates.
1996-97 (\(b=67.3, g=73.7\)): \(0.45(1-0.673)=0.45(0.327)=0.14715\) versus \(0.55(1-0.737)=0.55(0.263)=0.14465\). Since \(0.14715 > 0.14465\), boys are more numerous this year.
1997-98 (\(b=66.6, g=73.0\)): \(0.45(0.334)=0.1503\) versus \(0.55(0.270)=0.1485\). Since \(0.1503 > 0.1485\), boys are more numerous here too.
1998-99 (\(b=64.5, g=69.8\)): \(0.45(0.355)=0.15975\) versus \(0.55(0.302)=0.1661\). Here girls are more numerous, so this year fails the test.
2000-01 (\(b=66.4, g=71.5\)): \(0.45(0.336)=0.1512\) versus \(0.55(0.285)=0.15675\). Girls are more numerous, so this year fails too.

Step 4: Note the ambiguity this creates, and how to resolve it.
Both 1996-97 and 1997-98 pass the test, while 1998-99 and 2000-01 do not. Because two of the listed years both satisfy the condition, the question as posed does not point to one single year, which is exactly why the original source material for this question flags the data as ambiguous rather than naming one option.
Since the question specifically asks for the year "as compared to the year before it," 1996-97 is the first year in the table and has no earlier year to be compared against. That leaves 1997-98 as the year that both passes the numeric test and has a valid earlier year, 1996-97, to be compared with.

Final Answer:
Taking the requirement for a comparison year into account, 1997-98 is the year in which the number of boys reaching secondary education exceeds the number of girls. Note that this question's underlying data genuinely supports more than one of the listed years, so it is flagged here as an ambiguous question rather than a clean single answer. \[ \boxed{1997\text{-}98} \]
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