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Bharat Tracker

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4460 charts, 4380 live

Derived views — year-on-year, indexed, growth rates — are labelled as derived and are only generated where the underlying series has enough points to make them meaningful. Charts awaiting the ETL backfill are shown explicitly rather than hidden.

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Prevalence of current tobacco use, males (% of male adults)

high

Share of total — derived from "Prevalence of current tobacco use, males (% of male adults)".

05101520'05'07'10'15'20'22'23'24

World Bank indicator SH.PRV.SMOK.MA. History is restated by the World Bank as national accounts are revised; this series is rewritten in full on every pipeline run rather than appended to.

sourceWorld Bankverified 2026-09-14

Average transaction cost of sending remittances to a specific country (%)

high

Share of total — derived from "Average transaction cost of sending remittances to a specific country (%)".

0102030'16'17'18'19'20'21'22'23

World Bank indicator SI.RMT.COST.IB.ZS. History is restated by the World Bank as national accounts are revised; this series is rewritten in full on every pipeline run rather than appended to.

sourceWorld Bankverified 2026-09-14

Mobile data price per GB

medium

Share of total — derived from "Mobile data price per GB".

020406080100120'14'25

Nominal rupees, so part of the fall since 2016 is inflation rather than price competition. TRAI's figure is an average realised rate across bundles rather than a tariff, and headline comparisons of India as 'cheapest in the world' usually cite a different basket.

Mobile data used per subscriber

medium

Share of total — derived from "Mobile data used per subscriber".

010203040FY21FY22FY23FY24

Per data *user*, not per subscriber: people who own a phone but buy no data are outside the denominator, which lifts the average above what an ordinary reading of ‘per subscriber’ would give. The Survey publishes a much longer comparison elsewhere — 0.06 GB a month in 2014 against 25 GB in 2025 — but only as those two endpoints, so it is not spliced onto this series.

Electric vehicles registered

medium

Share of total — derived from "Electric vehicles registered".

010203040FY20FY21FY22FY23FY24FY25

VAHAN excludes Telangana and Lakshadweep, which do not report to it, so the national figure is a slight undercount. Two- and three-wheelers dominate the count; reading it as a car number overstates the passenger-vehicle transition by an order of magnitude.

Domestic air passengers

high

Share of total — derived from "Domestic air passengers".

0510152025FY19FY20FY21FY22FY23FY24

Passengers handled at domestic terminals. The sheet also lists April-to-October part-years for FY24 and FY25; both are excluded, and the FY24 part-year in particular would otherwise contradict the full FY24 row directly above it.

Domestic tourist visits

medium

Share of total — derived from "Domestic tourist visits".

010203040'19'20'21'22'23

Visits, not visitors: one person touring four states counts four times, and the total exceeds India's population in most years for that reason.

Suicide rate by age group

low

Share of total — derived from "Suicide rate by age group".

6.016151316151910–1920–2930–3940–4950–5960–6970+0510152025

A modelled estimate, not a count. WHO models country rates where civil registration is incomplete, and India's is; NCRB publishes India's own recorded suicide figures and they differ substantially from these. This site carries the WHO series because it is comparable across countries and across years, and grades it low confidence because the two sources disagree and neither can settle the other. It is a measure of deaths, not of how common mental illness is — a different question, declared separately and still unfilled. WHO publishes the age breakdown for a single year, so this is a profile rather than a trend and must not be read as one.

sourceWorld Health Organizationverified 2026-09-14

Suicide rate by age group — men

low

Share of total — derived from "Suicide rate by age group — men".

3.914151517152110–1920–2930–3940–4950–5960–6970+0510152025

A modelled estimate, not a count. WHO models country rates where civil registration is incomplete, and India's is; NCRB publishes India's own recorded suicide figures and they differ substantially from these. This site carries the WHO series because it is comparable across countries and across years, and grades it low confidence because the two sources disagree and neither can settle the other. It is a measure of deaths, not of how common mental illness is — a different question, declared separately and still unfilled. A single year, not a trend.

sourceWorld Health Organizationverified 2026-09-14

Suicide rate by age group — women

low

Share of total — derived from "Suicide rate by age group — women".

8.818141114151810–1920–2930–3940–4950–5960–6970+05101520

A modelled estimate, not a count. WHO models country rates where civil registration is incomplete, and India's is; NCRB publishes India's own recorded suicide figures and they differ substantially from these. This site carries the WHO series because it is comparable across countries and across years, and grades it low confidence because the two sources disagree and neither can settle the other. It is a measure of deaths, not of how common mental illness is — a different question, declared separately and still unfilled. A single year, not a trend. In WHO's published breakdown the youngest band is the one place where the female rate exceeds the male rate, and by a wide margin. India is among a small number of countries where that is true, and it is invisible in any chart that reports both sexes together.

sourceWorld Health Organizationverified 2026-09-14

Rural tele-density by service area

medium

Share of total — derived from "Rural tele-density by service area".

6.75.03.96.26.07.96.06.33.95.55.75.45.85.06.24.35.05.1Andhra PradeshAssamBiharGujaratHaryanaHimachal PradeshJammu & KashmirKarnatakaMadhya PradeshMaharashtraNorth EastOdishaPunjabRajasthanTamil NaduUttar PradeshWest BengalKolkata0246810

Service areas are not states. Some cover two states, some split one, and Delhi, Mumbai and Kolkata are their own areas — so this is labelled by service area and is deliberately not drawn on the state map, which would assert a correspondence that does not exist. One TRAI report covers one quarter, so this is a snapshot rather than a series over time. The half of the gap that matters: rural tele-density runs far below urban in every service area, and the national figure hides the distance between them.

sourceTelecom Regulatory Authority of Indiaverified 2026-09-14

Urban tele-density by service area

medium

Share of total — derived from "Urban tele-density by service area".

4.46.75.24.23.9145.56.64.75.63.95.66.05.14.64.44.15.1Andhra PradeshAssamBiharGujaratHaryanaHimachal PradeshJammu & KashmirKarnatakaMadhya PradeshMaharashtraNorth EastOdishaPunjabRajasthanTamil NaduUttar PradeshWest BengalKolkata05101520

Service areas are not states. Some cover two states, some split one, and Delhi, Mumbai and Kolkata are their own areas — so this is labelled by service area and is deliberately not drawn on the state map, which would assert a correspondence that does not exist. One TRAI report covers one quarter, so this is a snapshot rather than a series over time. Above 100 everywhere, and above 190 in some areas. Read as SIMs per hundred residents, not as people connected.

sourceTelecom Regulatory Authority of Indiaverified 2026-09-14

Tele-density by service area

medium

Share of total — derived from "Tele-density by service area".

5.94.83.75.85.37.55.97.64.36.85.04.96.94.96.34.24.85.5Andhra PradeshAssamBiharGujaratHaryanaHimachal PradeshJammu & KashmirKarnatakaMadhya PradeshMaharashtraNorth EastOdishaPunjabRajasthanTamil NaduUttar PradeshWest BengalKolkata0246810

Service areas are not states. Some cover two states, some split one, and Delhi, Mumbai and Kolkata are their own areas — so this is labelled by service area and is deliberately not drawn on the state map, which would assert a correspondence that does not exist. One TRAI report covers one quarter, so this is a snapshot rather than a series over time. Tele-density counts connections, not people, so it exceeds 100 per cent wherever people hold more than one SIM — which in urban areas is most of them.

sourceTelecom Regulatory Authority of Indiaverified 2026-09-14

Telephone subscribers by service area

medium

Share of total — derived from "Telephone subscribers by service area".

8.22.69.67.16.52.50.81.27.83.97.79.24.01.23.43.36.17.42.25.2Andhra PradeshAssamBiharDelhiGujaratHaryanaHimachal PradeshJammu & KashmirKarnatakaKeralaMadhya PradeshMaharashtraMumbaiNorth EastOdishaPunjabRajasthanTamil NaduKolkataWest Bengal024681012

Service areas are not states. Some cover two states, some split one, and Delhi, Mumbai and Kolkata are their own areas — so this is labelled by service area and is deliberately not drawn on the state map, which would assert a correspondence that does not exist. One TRAI report covers one quarter, so this is a snapshot rather than a series over time. Connections rather than people, and undirected on purpose: more SIMs in a service area is not straightforwardly better.

sourceTelecom Regulatory Authority of Indiaverified 2026-09-14