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Rung 14 — Postgraduate, medical

0.20 million people aged 21–34. 67.50% hold a regular salaried job, of which 62.12% of the rung is formal work — the highest rate on the entire ladder. And it rests on 195 people.

Filter Value
release_id calendar_2025
visit V1
gedu_lvl 13 — postgraduate
tedu_lvl 04 — technical degree in medicine
age 21–34

Sample: 195 people across 173 first-stage units, representing 0.20 million. An MD, MS, MDS or postgraduate nursing qualification — 19.0% of everyone holding a medical degree.

This is the smallest rung on the ladder and its caveats are proportionate. Everything below rests on 195 people, and the wage table on far fewer. It is reported because leaving postgraduates unsplit produced a materially wrong finding; it should not be quoted as a precise figure.

Share People
Formal work 62.12% 124k
Informal wage work 5.11% 10k
Self-employed, earning 10.25% 20k
Studying 4.96% 9,915
Unemployed, seeking 9.37% 19k
Domestic duties 6.63% 13k

The highest formal-employment rate and the lowest domestic-duties share of any rung. Against the medical degree’s 32.41%, the postgraduate qualification nearly doubles it — consistent with that rung being largely nursing and allied health while this one is largely specialists.

Share of rung Formal work Domestic duties Median wage People
Male 45.0% 64.04% 0.00% ₹50,000 90k
Female 55.0% 60.55% 12.06% ₹45,500 110k

The narrowest gender gap on the ladder — 1.06× — on a majority-female rung, with a wage gap of 9%. Only 12% of women here are in domestic duties, against 42% for a general master’s.

Tenure n p25 Median p75 ≥₹50k
Under 1 year 8 ₹16,000 ₹30,000 ₹41,000 2.7%
1 to 3 years 35 ₹25,000 ₹50,000 ₹95,000 73.6%
Over 3 years 64 ₹39,000 ₹50,000 ₹74,500 56.6%

Do not read this table as measurement. The cells hold 8, 35 and 64 people; the 1–3 year row showing a higher ≥₹50k share than the 3+ row is noise, not a career pattern. What survives is the level: a medical postgraduate in formal work earns around ₹50,000 a month, roughly double the medical degree’s ₹35,000.

At entry (27–29) Age 30 Age 40
Sample n 62 57 40
Population 67k 62k 30k
— in formal work 32 38 24
In formal work 70.90% 73.57% 61.93%
Median wage ₹50,000 ₹48,000 ₹62,000

The entry window here is 27–29, and getting it right changed the answer. An MD or MS is three years after MBBS, so a medical postgraduate qualifies at about 26.5. An earlier version applied the 23–25 window used for a general master’s, which caught people mid-training and reported entry employment of 32.42% — less than half the true figure. Only 2.6% of this rung is even aged 21–23.

The mean wage is not shown at entry because it is not usable: ₹108,495 on 32 people, against a median of ₹50,000. One or two high earners carry it. The median is the only wage figure here worth reading, and even that rests on tiny cells.

The same rung at three points in a working life

Section titled “The same rung at three points in a working life”
Life stage Regular salaried Of which formal People
Entry 62.5% 55.5% 55k (n=57 — too thin to read as a rate)
Age 30 74.8% 73.6% 62k (n=57 — too thin to read as a rate)
Age 40 61.9% 61.9% 30k (n=40 — too thin to read as a rate)

Regular salaried is a salaried job of any kind (pas='31'). Formal is the subset that is actually paid and carries a written contract or social security. The difference between the two columns is the informal salaried workforce.

These are three different cohorts, not one cohort ageing. Today’s 40-year-olds finished a different school system in a different labour market from this year’s entrants, so this table shows where each age group stands now. It does not say what today’s entrant will earn at 40.

Entry uses each rung’s own window — three years from that course’s normal completion age; age 30 is ages 29–31 and age 40 is ages 39–41, three-year bands for sample.

Job function among those in formal work, rolled up from NCO 2015 three-digit occupation groups by build_job_function.py. NCO orders by skill level before function, so a raw occupation table splits one function across three divisions — software work sits in 251/252, 351/352 and 133. Shares sum to 100; nothing is suppressed.

Function Share People Public sector Median wage
Health & medical 79.61% 99k 30.3% ₹55,000
Teaching & education 9.62% 12k 21.4% ₹40,000
Engineering, science & technical 5.60% 6,952 40.8% ₹39,000
Management & business operations 1.89% 2,342 0.0% ₹60,000
Sales & marketing 1.40% 1,732 0.0% ₹20,000
Software & IT 0.83% 1,029 0.0% ₹65,000
Clerical & office support 0.47% 578 0.0% ₹17,000
Arts, media, culture & social 0.44% 547 0.0% ₹55,000
Hospitality, personal & care services 0.15% 188 100.0% ₹12,000
Cut n
The rung, 21–34 195
— in formal work 107
Formal, tenure under 1 year 8
Earning ≥₹50,000 a month 56

The smallest numbers in this analysis. The 62.12% employment rate, on 195 people, is the one figure here worth quoting — and only with the sample size attached.

Doctors are not separable from postgraduate nurses at this sample size.

Nothing about the wage trajectory — the cells cannot support it.

Selection, not causation, and severe selection at that: this is the 19% of medical-degree holders who continued.


Provenance: assumptions governing this note are numbered in ../ASSUMPTIONS.md; the queries behind every figure are in ../QUERIES.md; every claim’s confidence grade, and the seven claims this analysis has retracted, are in ../FINDINGS.md. Check a number against FINDINGS before quoting it.