Which state contributes the largest share to India's incremental population growth (2025)?
Show answer & explanation
Correct answer: C
Explanation
Solution: The correct answer is Uttar Pradesh.
Explanation:
☛ According to population projections released by the National Commission on Population (MoHFW), Uttar Pradesh is estimated to contribute the largest share to India's incremental population growth up to 2025–2036.
☛ Uttar Pradesh accounts for approximately 17% to 20% of the total population increase in the country due to its large base population and higher Total Fertility Rate (TFR).
☛ Along with Bihar, it forms a major portion of the northern demographic belt driving the country's demographic expansion.
☛ In contrast, southern states like Kerala and Tamil Nadu have already attained replacement-level fertility rates and contribute minimally to the incremental population count.
Extra Exam-Relevant Facts:
☛ Uttar Pradesh: It was the most populous state in India according to Census 2011, accounting for about 16.5% of India's total population.
☛ Kerala: It has achieved a Total Fertility Rate (TFR) well below the replacement level of 2.1 and holds the highest sex ratio and literacy rate in the country.
☛ Tamil Nadu: It is one of the pioneer states to achieve early demographic transition and stable fertility rates through successful family planning programs.
☛ Himachal Pradesh: It has a small population base with low decadal population growth compared to the national average.
Important One-Liners for Upcoming Exams:
☛ Which state was the most populous state of India as per Census 2011? → Uttar Pradesh
☛ Which Indian state recorded a negative decadal population growth rate in Census 2011? → Nagaland (-0.58%)
☛ Which state has the highest population density in India according to Census 2011? → Bihar (1,106 persons per sq km)
☛ What is considered the standard replacement-level Total Fertility Rate (TFR)? → 2.1 children per woman
☛ Which Indian state recorded the highest sex ratio as per Census 2011? → Kerala (1,084 females per 1,000 males)