−20%Improving
2022–24Change on previous periodTripura
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Maternal and childAnnualSample Registration System
Deaths of children under one year of age per 1,000 live births in the period.
−3 (−20%) from 15 per 1,000 live births in 2021–23. A move in the better direction.
| Period | Tripura | India | Status | Where in the document |
|---|---|---|---|---|
| 2022–24 | 12 | – | Reported | Bulletin 2024, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2022-24) |
| 2021–23 | 15 | – | Reported | Bulletin 2023, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2021-23) |
| 2020–22 | 17 | – | Reported | Bulletin 2022, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2020-22) |
| 2019–21 | 19 | – | Reported | Bulletin 2021, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2019-21) |
| 2018–20 | 18 | – | Reported | Bulletin 2020, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2018-20) |
| 2017–19 | 21 | – | Reported | Bulletin 2019, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2017-19) |
Deaths of children under one year of age per 1,000 live births in the period.
The Sample Registration System (SRS) is ORGI's large-scale demographic survey: in about 8,800 randomly selected villages and urban blocks (8,839 sample units covering about 9.0 million people in 2024, roughly 0.6% of the population) a resident part-time enumerator records births and deaths continuously, and an independent supervisor conducts a retrospective half-yearly survey. The two records are matched and unmatched events re-verified in the field (dual record system), which makes SRS India's reference source for vital rates at state level, since civil registration remains incomplete in several states. The sample is redrawn after each census; the frame in use from reference year 2014 is based on Census 2011. Source: SRS Bulletin for the reference year, Table 1 ('Estimated Birth Rate, Death Rate, Natural Growth Rate and Infant Mortality Rate'), Total column, for India and all 36 States/UTs. Each value is taken from the Bulletin for its own year; the same figure reprinted in later Statistical Report trend tables is not re-ingested, so a value changes only if ORGI re-issues that Bulletin (corrigenda are re-uploaded in place and recorded as revisions). IHO stores the total (rural and urban combined) for V1; SRS also publishes rural and urban figures, and for some rates figures by sex, which are not yet stored. For India and the 21 bigger States/UTs the Bulletin gives a single-year IMR. For the nine smaller States (Arunachal Pradesh, Goa, Himachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura) and the Union Territories it gives a three-year pooled IMR (the 2024 Bulletin's figure covers 2022–2024), and IHO stores it under that three-year period, labelled 2022-2024, not under 2024. Each geography therefore has one kind of period throughout: annual for India and the bigger States/UTs, overlapping three-year periods for the smaller States and UTs. Where the Bulletin prints NA* (no infant death recorded in the sample), nothing is stored.
Successive three-year values for smaller States and UTs share two of their three years, so a change between them reflects one year swapped in and one swapped out, and is damped. Even pooled, those samples record few infant deaths (Lakshadweep, Sikkim, Mizoram and Manipur values in single digits can move by several points on a handful of deaths). Manipur's 2023 and 2024 estimates are based on 130 of its 165 sample units because of the field situation in the State; they are marked low-sample. Reference years 2020–2021 cover the COVID-19 pandemic: deaths rose sharply in 2021 (India's crude death rate was 7.5 against 6.0 in 2020), and fieldwork was disrupted.
No value in this series has been revised since the observatory first archived it.
India Health Observatory (2026). Infant mortality rate, Tripura, 2012–14 to 2022–24 [dataset]. Original data: Office of the Registrar General and Census Commissioner, India, Sample Registration System. https://indiahealthobservatory.com/india/tripura/infant-mortality-rate
<iframe src="https://indiahealthobservatory.com/embed/tripura/infant-mortality-rate" title="Infant mortality rate, Tripura (India Health Observatory)" width="100%" height="440" style="border:0;max-width:760px" loading="lazy"></iframe>
per 1,000 live births. 11 periods. Values exactly as published; nothing interpolated.
| 2016–18 | 27 | – | Reported | Bulletin 2018, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2016-18) |
| 2015–17 | 29 | – | Reported | Bulletin 2017, Table 1, p.4, row "Tripura", column IMR Total (three-year period 2015-17) |
| 2014–16 | 24 | – | Reported | Bulletin 2016, Table 1, p.1, row "Tripura", column IMR Total (three-year period 2014-16) |
| 2013–15 | 20 | – | Reported | Bulletin 2015, Table 1, p.1, row "Tripura", column IMR Total (three-year period 2013-15) |
| 2012–14 | 21 | – | Reported | Bulletin 2014, Table 1, p.1, row "Tripura", column IMR Total (three-year period 2012-14) |
Single-year values (India, bigger States/UTs) and three-year values (smaller States, UTs) are different quantities and are never placed on the same annual axis; comparisons with India are made only between figures for the same period. Jammu & Kashmir before reference year 2020 is the undivided State, which included what is now Ladakh (the 2018 and 2019 Bulletins print it as 'Jammu & Kashmir and Ladakh'); from 2020 SRS reports the Union Territories of Jammu & Kashmir and of Ladakh separately, and IHO stores both periods under Jammu and Kashmir, so its series has a boundary break at 2020. Dadra & Nagar Haveli and Daman & Diu are separate geographies up to 2019 and the merged Union Territory from 2020; there is no back-cast. Telangana was carved out of Andhra Pradesh in 2014; SRS reports them separately from reference year 2014, so Andhra Pradesh figures are for the residuary State throughout. Himachal Pradesh is a 'smaller State' in the Bulletin (three-year IMR) but a 'bigger State' in the Statistical Report. Comparable in definition with NFHS and UN IGME estimates, but those are survey- or model-based and differ in level.
How signals are computed from this series: methodology.