Subject: Population and Demography

Why in the News

India’s total fertility rate has fallen to the replacement level of about two children per woman, a figure widely read as proof the country has completed its demographic transition. This headline number conceals a persistent gap between how many children women actually want and how many they have, meaning India’s fertility decline is a policy problem rather than a solved story.

What is the difference between the Total Fertility Rate and the Wanted Fertility Rate?

1. Total Fertility Rate (TFR): TFR is the average number of births per woman across her reproductive years, counting all births including those women did not plan or want.
2. Wanted Fertility Rate: This counts only births that match what women say they intended, revealing their actual preferred family size.
3. The national gap: Nationally, women have an average of 2.0 children while their desired family size is about 1.6, a gap of 0.4 children per woman.
4. States with the widest gap: Eight states, Uttar Pradesh, Bihar, Jharkhand, Rajasthan, Madhya Pradesh, Chhattisgarh, Assam and Haryana, have a gap of more than 0.3 children per woman.

Why has India reached low fertility despite near-universal marriage?

1. Marriage pattern: Only about 1% of women remain never married by ages 45 to 49, and the median age at first birth is 21.2 years, unlike most low-fertility countries where late marriage drives the decline.
2. Sterilisation-led control: Indian women largely control fertility by having children, reaching their desired family size, and then permanently stopping through sterilisation, rather than through methods that space births.
3. Missing spacing tools: Tools that help young couples delay a first birth or space children are largely missing, so unintended pregnancies cluster in the early years of marriage among the youngest women.
4. Health consequence: This pattern is also reflected in relatively poor maternal and child health outcomes.

Does India’s low fertility number hide a larger unmet need than it appears?

1. Informed choice gap: Informed choice around sterilisation remains partial, with many women undergoing the procedure without fully informed consent. When these women are counted alongside those with unmet contraceptive needs, India’s “unwanted family planning” problem appears much larger than TFR figures suggest.
2. Son preference inflation: In several states, families do not stop having children after one or two. In fact they continue until they have a son, meaning a disproportionate share of historically recorded “unwanted” births were daughters.
3. Progress already visible: Unintended pregnancies have fallen from 21% in 2005-06 to 8% in 2019-21, and son preference is slowly weakening among younger and more educated families.

Conclusion

The article’s central argument is that India’s near-replacement TFR is not evidence the fertility story is finished, since it rests on a gap between wanted and actual fertility sustained by late spacing, partial informed choice, and residual son preference. What remains unresolved is the recent decline in modern contraceptive method use, which risks keeping the country’s unwanted-fertility gap in place even as the headline birth rate keeps falling.

Back2Basics:

Total Fertility Rate (TFR)

1. Definition: TFR is the average number of live births a woman would have by the end of her reproductive years, calculated from age-specific fertility rates for ages 15 to 49.
2. Source: TFR is tracked through the Sample Registration System (SRS) and the National Family Health Survey (NFHS).
3. Replacement level: A TFR of 2.1 is generally considered replacement level; India’s national TFR has reached around 2.0, with Bihar at 2.9 against Kerala and Tamil Nadu at around 1.8.

Understanding “Replacement Level” (2.1)

1. The “0.1” Factor: The extra 0.1 accounts for the fact that some children do not survive to reproductive age, and slightly more boys are born than girls.
2. Developing vs. Developed: In countries with high infant mortality rates, the replacement level can actually be much higher than 2.1 (sometimes up to 2.5 or 3.0) to stabilize the population.

PYQ Relevance

[UPSC 2014] While we flaunt India’s demographic dividend, we ignore the dropping rates of employability. What are we missing while doing so? Where will the jobs that India desperately needs come from? Explain.

Linkage: The PYQ examines how demographic trends influence India’s development prospects. The article shows that replacement-level fertility alone does not ensure a demographic dividend, as unmet family planning needs persist.