Guided story

How Unequal Is India?

India is mildly unequal in what people spend, highly unequal in what they earn, and extremely unequal in what they own, a seeming contradiction that comes from measuring inequality through different lenses with opposite blind spots.

Why can't experts agree on whether India is equal?

Because they are not measuring the same thing, and both are right. Look at the two lines: they are both trying to capture the share of income going to India's richest 1%, and they are miles apart. The lower line comes from household surveys, knock on enough doors, ask what people earn and spend, add it up. The trouble is that a billionaire does not open the door to a survey enumerator, and if he does, he does not report his capital gains. So surveys see a flatter, more equal India almost by construction. The World Bank survey method estimates the top 1% income share at 4.3% in 2022, down from 5.9% in 1977.

The higher line starts from tax records and national accounts and works out where the rest of the income must have gone. It catches the top tail the survey misses. According to the World Inequality Database method, the top 1% took 22.3% of pre-tax national income in 2024, up from just 7.1% in 1980. Neither line is a lie. The distance between them is not noise to be averaged away; it is the most honest thing on this page.

Chart 2

Same country, two verdicts on inequality

Top 1% income share — World Inequality Database (tax + national accounts) vs World Bank (household survey)

% income share of top 1%
22.3

2024 · latest point

0.010.020.030.01980199020002010202022.34.30.010.020.030.01980199020002010202022.34.3
World Inequality Database methodWorld Bank survey method

The World Inequality Database puts the top 1% income share at 22.3% in 2024; the World Bank’s survey method records just 4.3% in 2022.

Two lines attempt to measure the same thing: the share of pre-tax income going to the top 1% in India. The lower, flatter line comes from household surveys that miss the very rich, giving a 4.3% share in 2022. The higher, rapidly rising line draws on tax records and national accounts to capture the full top tail, reaching 22.3% in 2024. The survey line shows a slight decline since 1977, while the administrative line shows a quadrupling since 1980. The chasm between them is not an error; it is the measurement uncertainty at the heart of India’s inequality debate.

How to readTwo lines tracking top 1% income share over time. The lower line stays flat near 5%; the higher line climbs from 7% to 22%. The gap widens dramatically.

Watch outDon’t assume one line is right and the other wrong. Each measures a different slice of the distribution with its own blind spots.

By what people spend, how unequal is India really?

A shopkeeper in Kanpur does not spend everything he earns. He saves for his children’s education, reinvests in the shop, maybe buys a small plot. His spending looks far more like his neighbour’s than his income does. This is why consumption inequality is always lower than income inequality, and in India it is strikingly low by global standards. The World Bank’s consumption Gini, a measure where 0 means perfect equality and 100 means one person spends everything, stood at 25.5 in 2022, down from 29.7 in 1977. That single number has anchored the story that India is an unusually equal society.

But the consumption lens is a mirror that only reflects the bottom and middle clearly. The very rich rarely show up in household surveys, and when they do, their spending tells you little about their true command over resources. So a low and falling consumption Gini is real, but it is a story about the floor and the middle, not the ceiling.

Chart 3

By what people spend, India looks equal — and more so

World Bank · SI.POV.GINI

Gini index (0–100)
25.5

2022 · latest point

25.026.027.028.029.030.01980199020002010202025.026.027.028.029.030.019801990200020102020

The World Bank’s consumption Gini fell from 29.7 in 1977 to 25.5 in 2022.

This single declining line is the source of India’s ‘most equal’ reputation. The Gini index runs from 0 (perfect equality) to 100 (one person spends everything). A value of 25.5 is low by global standards, and the direction has been consistently downward since the 1970s. Because rich households save and invest most of their extra income, their spending looks much closer to the average, compressing the distribution. The chart uses consumption — what households actually report spending — not income or wealth, so it naturally understates the full extent of inequality, especially at the very top.

How to readA single line falling from 1977 to 2022. Lower is less unequal. The decline has been gentle but persistent.

Watch outA low consumption Gini does not mean India is an equal society — only that spending is relatively even, and the very rich are largely absent from this measure.

What happens when we look at income instead of spending?

Imagine a salaried professional earning Rs 2 lakh a month who saves half, and a fund manager whose portfolio earns Rs 20 lakh in a bull run. The professional’s income is mostly salary; the fund manager’s is capital gains. Household surveys pick up the salary; they often miss the capital gain. Administrative methods, combining tax tabulations with national accounts, capture both, but at the cost of modelling who gets what. That is the World Inequality Lab’s approach.

By that measure, the top 10% of Indians captured 58.9% of pre-tax national income in 2022, up from 51.8% in 1923. The top 1% alone took 23.1% in 2022, up from a low of 7.1% in 1980. Both shares have risen steeply since liberalisation. These figures are hotly contested. Critics like Bhalla and Bhasin argue the method overstates top concentration by imputing income and wealth distributions that are not directly observed. The debate is genuine: the shape of the top tail depends heavily on what you assume about unreported income.

Chart 4

By what people earn, the top is pulling away

World Inequality Database · share of pre-tax income going to the top, 1922 to 2023

% of pre-tax national income
58.9

2022 · latest point

0.020.040.060.01940196019802000202058.923.10.020.040.060.01940196019802000202058.923.1
Top 10%Top 1%

The top 10% captured 58.9% of pre-tax national income in 2022, the top 1% 23.1%.

Two lines surge upward from the 1980s. The top 10% share, which was 51.8% in 1923, climbs to 58.9% in 2022. The top 1% share goes from 7.1% in 1980 to 23.1% in 2022 — a more than threefold increase. This data, built from tax records and national accounts by the World Inequality Lab, includes income sources like capital gains that surveys miss. The result is that India’s income concentration today rivals or exceeds the levels estimated for the colonial era. The method is contested; critics argue that imputing the full distribution can overstate the top tail. Still, the trend is unmistakable.

How to readTwo lines: the top 10% (upper) and top 1% (lower). Both rise steeply from the early 1980s.

Watch outThese are pre-tax shares and modelled estimates, not direct observations. They show a direction, not an exact number.

And when we count what people own?

Consumption is a flow; wealth is the stock. A parched field and a penthouse in Worli are both visible, but their owners sit on vastly different accumulations of land, gold, shares, and property, minus whatever they owe. Wealth inequality is almost always the starkest dimension, because the rich can save, invest, and pass assets to the next generation.

In India, the top 1% held an estimated 40.1% of net personal wealth in 2024, up from 19.1% in 1820. The top 10% held 65%, up from 52.8%. These shares have not just risen; they have accelerated in the post-1991 period. Measuring wealth is even harder than measuring income: land values are opaque, gold is underreported, and billionaire fortunes swing with the stock market. The estimates carry uncertainty, but the direction and scale of concentration are hard to dispute.

Chart 5

By what people own, concentration is extreme

World Inequality Database · share of net personal wealth held by the top, 1961 to 2023

% of net personal wealth
65.0

2024 · latest point

0.020.040.060.080.0185019001950200065.040.10.020.040.060.080.0185019001950200065.040.1
Top 10%Top 1%

The top 1% held 40.1% of net personal wealth in 2024, the top 10% 65%.

Wealth is the most concentrated of the three dimensions. The top 10%’s share has risen from 52.8% in 1820 to 65% in 2024; the top 1%’s share from 19.1% to 40.1% over the same period. The post-1991 acceleration is dramatic. Wealth includes land, gold, financial assets, and property, minus debts. Because wealth earns returns and is bequeathed across generations, convergence is extremely slow. The estimates here are based on a mix of sources, and uncertainty around the extreme tail is high. But even allowing for measurement error, the degree of concentration is striking.

How to readTwo lines: the top 10% (upper) and top 1% (lower). Both rise, with the post-1991 upward bend visible.

Watch outWealth data is harder to capture than income; the very top may be under- or over-estimated, but the general pattern of high concentration is robust.

If consumption inequality is low, how does the spending actually split?

A Gini of 25.5 sounds abstract. The distributional data brings it to the ground. The poorest half of India’s population accounts for 32.8% of total consumption. The middle 40% accounts for 45%. The richest 10% accounts for 22.1%. In a perfectly equal world, the richest 10% would consume 10%. Here they consume more than twice that. But notice: the richest 10%’s consumption share has fallen from 25.2% in 1977, while the bottom 50%’s share has risen from 30.4%. The floor has nudged up, and the middle has widened.

These are consumption shares. If this were income or wealth, the gaps would be far larger. The chart shows that even the most equalising lens reveals a lopsided distribution.

Chart 6

How consumption splits, bottom half to top tenth

World Bank · share of total consumption by group, 2022-23

% of consumption, latest survey
Poorest 50%
32.8
Middle 40%
45.0
Richest 10%
22.1

The poorest 50% account for 32.8% of total consumption, the richest 10% for 22.1%.

Three bars bring the Gini to life. The bottom half of the population consumes just under one-third of all spending, the middle 40% gets 45%, and the top 10% gets 22.1%. In a perfectly equal world, each group’s share would match its population share — the poorest 50% would get 50%, the richest 10% 10%. The actual distribution is skewed, but far less so than income or wealth. The richest 10%’s share here has fallen from 25.2% in 1977, while the bottom 50%’s has risen from 30.4%. The floor has gained, but the top still far outstrips its proportional share.

How to readThree bars showing the percentage of total consumption going to each group. Compare the richest 10% bar to the poorest 50%.

Watch outThis is consumption only; the gaps would be far larger for income and wealth.

What does the gap between the richest and poorest fifths look like over time?

Focus on the richest 20% and the poorest 20%. In 1977, the top quintile consumed 39.1% of total spending, the bottom quintile just 9.1%. By 2022, those numbers had moved to 36.1% and 10.4%. The gap has narrowed slightly, but it remains enormous: the richest fifth still consumes 3.5 times as much as the poorest fifth.

The movement is glacial. Over 45 years, the bottom quintile gained just 1.3 percentage points of the consumption pie. This is not a story of convergence; it is a story of a stubbornly persistent spread.

Chart 7

The richest fifth vs the poorest fifth

World Bank · consumption share of the top and bottom 20%

% of consumption
36.1

2022 · latest point

0.010.020.030.040.01980199020002010202036.110.40.010.020.030.040.01980199020002010202036.110.4
Richest 20%Poorest 20%

The top 20% consumed 36.1% of total spending in 2022, the bottom 20% 10.4%, a gap that has narrowed only marginally since 1977.

Two lines track the consumption shares of the richest and poorest quintiles over 45 years. The top 20% started at 39.1% in 1977 and fell to 36.1%. The bottom 20% moved from 9.1% to 10.4%. The gap remains wide: the richest fifth spends 3.5 times as much as the poorest fifth. The movement is slow — a 1.3 percentage point gain for the poorest over nearly half a century. This visual tempers the optimistic read of the Gini decline: the bottom has barely inched up its share of the pie.

How to readTwo lines over time. The top line is the richest 20%; the bottom line, the poorest 20%. The vertical distance is the gap.

Watch outA narrowing gap does not mean absolute equality; the richest still outspend the poorest massively.

What does India’s own consumption survey say about inequality?

The Household Consumption Expenditure Survey (HCES), conducted by MoSPI, is India’s own yardstick. Its rural Gini fell from 28.3 in 2011-12 to 23.7 in 2023-24; the urban Gini fell more sharply, from 36.3 to 28.4. Both declines underpin the claim that inequality is falling.

There is a catch. The 2023-24 round introduced a methodological change: it imputed the value of free government rations and other welfare transfers into consumption. This raises reported spending, especially among the poor, mechanically reducing inequality. So part of the Gini drop is a genuine raising of the floor, and part is a change in what is being measured. Disentangling the two is a live puzzle, and the size of the drop likely overstates the improvement.

Chart 8

Town and country, and the survey behind the 'falling' claim

MoSPI HCES · consumption Gini, rural vs urban, 2011-12 to 2023-24

Gini index (0–100)
28.4

2023 · latest point

20.025.030.035.040.020122014201620182020202228.423.720.025.030.035.040.020122014201620182020202228.423.7
UrbanRural

Rural Gini fell from 28.3 to 23.7, urban from 36.3 to 28.4 between 2011–12 and 2023–24, but the latest round includes imputed welfare transfers.

India’s own HCES shows consumption inequality declining in both rural and urban areas. The rural Gini, already lower, fell 4.6 points; the urban Gini dropped 7.9 points. However, the 2023-24 survey added the imputed value of free rations and other welfare items to consumption, which raises reported spending among the poor and mechanically reduces measured inequality. So the decline is partly a real improvement in living standards and partly a statistical artefact. The true fall is smaller than these numbers suggest, but the direction is likely real.

How to readTwo lines, rural and urban Gini indices. Both fall between the 2011–12 and 2023–24 survey rounds.

Watch outDon’t treat the full decline as purely real. The introduction of imputation means some of the drop is a change in measurement.

What does the spending ladder look like, rung by rung?

A Gini compresses the whole distribution into one number; here are the actual rungs. In rural India, the poorest 0–5% of households spent Rs 1,677 per person per month, the next 5–10% Rs 2,126, and it rises step by step until the 80–90% group spends Rs 5,763. In urban India, the climb is steeper: the poorest 0–5% spend Rs 2,376, the 40–50% group Rs 5,622, and the 80–90% group Rs 10,139.

These rupee amounts put flesh on the numbers. The ratio between the top and bottom rungs is about 3.5 in rural and over 4 in urban, just from consumption differences. Before we count income or wealth.

Chart 9

The spending ladder, rung by rung

MoSPI HCES 2023-24 · average rural MPCE by fractile class (computed from the unit-level survey of 1,54,357 rural households)

₹ per person per month
Poorest 0-5%
₹1,677
5-10%
₹2,126
10-20%
₹2,473
20-30%
₹2,833
30-40%
₹3,162
40-50%
₹3,498
50-60%
₹3,866
60-70%
₹4,304
70-80%
₹4,885
80-90%
₹5,763
90-95%
₹6,929
Richest 95-100%
₹10,137

In rural India, the poorest 0–5% spend Rs 1,677 per person per month, while the 80–90% fractile spends Rs 5,763; urban gaps are wider.

Instead of a single Gini, this chart shows the actual MPCE at each step of the distribution. In rural areas, spending rises gradually from Rs 1,677 for the poorest 5% to Rs 5,763 for the 80–90% group. Urban spending starts higher and climbs steeper: from Rs 2,376 for the bottom 5% to Rs 10,139 for the 80–90% group. The step pattern makes the gap tangible. Even within consumption, the richest decile spends 3–4 times more than the poorest. These differences, before we factor in income and wealth, are visible in daily life — from the quality of food to the schooling of children.

How to readHorizontal bars with rupee values for each fractile class. Compare the bottom bars to the top.

Watch outThis is one year only, and each bar is an average; individuals within a fractile vary.

Is spending rising, and is the gap between town and country shrinking?

Both rural and urban average monthly per-capita consumption (MPCE) have risen sharply. Rural MPCE went from Rs 1,430 in 2011-12 to Rs 4,122 in 2023-24. Urban MPCE rose from Rs 2,630 to Rs 6,996. The urban-rural ratio narrowed from 1.84 (84% higher urban spend) to 1.70 (70% higher). The countryside caught up somewhat, partly because welfare transfers, now counted as consumption, disproportionately lifted the rural poor.

This rising floor is the engine that drove poverty down. But note: these are current rupees. After accounting for inflation, the real rise would be smaller. Still, the direction is clear.

Chart 10

Spending is rising, and the town-country gap is narrowing

MoSPI HCES · average monthly per-capita consumption, current prices

₹ per person per month
₹6,996

2023 · latest point

0.0₹2,000₹4,000₹6,000₹8,000201220142016201820202022₹6,996₹4,1220.0₹2,000₹4,000₹6,000₹8,000201220142016201820202022₹6,996₹4,122
UrbanRural

Rural MPCE rose from Rs 1,430 to Rs 4,122, urban from Rs 2,630 to Rs 6,996 between 2011–12 and 2023–24; the urban-rural ratio fell from 1.84 to 1.70.

Average monthly per-capita consumption has nearly tripled in both rural and urban India over 12 years in current rupees. More importantly, the gap between the two shrunk. In 2011–12, the average urban person spent 84% more than the average rural person; by 2023–24, that excess had fallen to 70%. The narrowing partly reflects the imputation of welfare transfers, which disproportionately raised rural spending, but it also signals that rural incomes and welfare have genuinely risen. This convergence is one of the engines behind the sharp decline in extreme poverty.

How to readTwo upward-sloping lines. The urban line is higher but the gap narrows over time.

Watch outCurrent rupees do not adjust for inflation; real growth is smaller. Also, the imputation in 2023–24 inflates the apparent rise.

Does your state matter as much as your class?

A national Gini erases the map. Rural Kerala’s average MPCE in 2023-24 was Rs 6,611 per person per month; rural Gujarat’s was Rs 4,116. That 1.6-fold gap is comparable to differences between much poorer and much richer countries. Among urban areas, Telangana led at Rs 8,978, while Assam was at Rs 6,794.

This spatial inequality is invisible in any single national number. A person born in one state, even at the same income percentile, can have a vastly different spending level than a person born in another. The data also reminds us that averages within states mask internal divides by caste, class, and urban-rural location.

Chart 11

Which India you live in matters as much as which class

MoSPI HCES 2023-24 · average rural MPCE by major state (all-India rural average ₹4,122)

₹ per person per month
Kerala
₹6,611
Punjab
₹5,817
Tamil Nadu
₹5,701
Telangana
₹5,435
Haryana
₹5,377
Andhra Pradesh
₹5,327
Karnataka
₹4,903
Rajasthan
₹4,510
Maharashtra
₹4,145
Gujarat
₹4,116
Assam
₹3,793
Bihar
₹3,670
West Bengal
₹3,620
Uttar Pradesh
₹3,481
Madhya Pradesh
₹3,441
Odisha
₹3,357
Jharkhand
₹2,946
Chhattisgarh
₹2,739

Rural Kerala’s MPCE of Rs 6,611 is more than 1.6 times that of rural Gujarat’s Rs 4,116.

A national Gini hides enormous state-level variation. In rural areas, the top states — Kerala, Punjab, Tamil Nadu — spend about Rs 5,500–6,600 per person per month. At the lower end, among the states shown, Gujarat’s rural MPCE is Rs 4,116. Urban areas show a similar spread: Telangana leads at Rs 8,978, while Assam is at Rs 6,794. The gap between the richest and poorest state is comparable to differences between much poorer and much richer countries. This spatial inequality means that where you are born in India shapes your living standards as deeply as your class or caste.

How to readHorizontal bars showing average rural MPCE by state, sorted highest to lowest. Compare the extreme ends.

Watch outState averages hide within-state inequality. Also, the urban ranking is different from rural.

How does caste shape what households spend?

Microdata from HCES 2023-24, which the official factsheet does not publish, reveals a clean gradient. A household headed by a person from the ‘Others’ (forward caste) category spends Rs 6,148 per person per month. An OBC household spends Rs 5,068 (18% less), a Scheduled Caste household Rs 4,277 (30% less), and a Scheduled Tribe household Rs 3,614 (41% less).

These are raw averages. Within each group, the Gini, ranging from 0.26 for Scheduled Castes to 0.31 for Others, shows that inequality exists inside as well as between. The caste gap persists even after accounting for education and occupation in deeper studies, but this chart simply lays out the factual spending ladder across social groups.

Chart 12

The consumption gap that runs along caste

Computed from HCES 2023-24 unit-level microdata · average MPCE by social group of the household head

₹ per person per month
Others
₹6,148
OBC
₹5,068
Scheduled Caste
₹4,277
Scheduled Tribe
₹3,614

Scheduled Tribe households spend 41% less per person than 'Others' households (Rs 3,614 vs Rs 6,148).

Microdata from HCES 2023-24 reveals a clean caste gradient in average MPCE. At the top, ‘Others’ (forward caste) households spend Rs 6,148 per person per month. OBC households spend Rs 5,068 (18% less), Scheduled Caste households Rs 4,277 (30% less), and Scheduled Tribe households Rs 3,614 (41% less). Within each group, the Gini ranges from 0.26 for SCs to 0.31 for Others, showing that inequality exists inside categories too. The raw averages do not adjust for education or occupation, but they capture the cumulative effect of historical disadvantage.

How to readHorizontal bars for each caste group. The length shows the average MPCE; the gap from the top bar is the absolute inequality.

Watch outPopulation shares differ; OBCs are the largest group. Internal inequality (Gini) is also high.

Does religion matter in consumption?

The same microdata shows differences by religion of the household head. Hindu households spent Rs 5,089 per person per month on average. Muslim households spent Rs 4,583, about 10% below. Sikh and Christian households spent 28% and 20% above the Hindu average, at Rs 6,509 and Rs 6,111 respectively. Jain households had the highest average at Rs 6,509 (same as Sikh in the data).

These numbers reflect not just religion but the intersecting effects of region, caste composition, and historical occupational patterns. Sample sizes for smaller groups like Jains and Sikhs are small, so the estimates for them are noisier. But the broad pattern is consistent with other surveys.

Chart 13

And along religion

Computed from HCES 2023-24 unit-level microdata · average MPCE by religion of the household head

₹ per person per month
Sikh
₹6,509
Christian
₹6,111
Hindu
₹5,089
Buddhist
₹4,912
Muslim
₹4,583

Muslim households spend Rs 4,583 per person per month, 10% below the Hindu average; Sikh and Christian households spend 20–28% above.

Consumption differs by religion of the household head. The Hindu average is Rs 5,089; Muslim households spend Rs 4,583 (10% less). Sikh (Rs 6,509) and Christian (Rs 6,111) households spend substantially more, while Buddhist households (Rs 4,912) are slightly below. These gaps reflect a mix of regional concentration, occupational patterns, and historical factors. Sample sizes for smaller groups like Sikhs and Buddhists are small, so their estimates are less precise. But the ranking is consistent with other surveys.

How to readHorizontal bars for each religious group, with the Hindu average marked as reference.

Watch outSmall sample sizes make the estimates for minority groups noisy. These are raw averages, not evidence of discrimination.

Does the same pattern show up in wages?

Consumption is the gap after the fact; wages are where it starts. Among regular-salaried workers, an ‘Others’ caste worker earned Rs 25,957 a month in 2023-24, while a Scheduled Caste worker earned Rs 16,516, a 36% pay gap. Scheduled Tribe workers earned Rs 18,343 (29% less), and OBC workers Rs 19,735 (24% less).

These figures come from the Periodic Labour Force Survey, not the HCES. They cover only regular-salaried employees, about a quarter of the workforce. The gap reflects differences in education, occupation, and sector, not direct discrimination per se. Still, the wage ladder mirrors the consumption ladder with remarkable fidelity.

Chart 14

The same gap in what a job pays

Computed from PLFS 2023-24 unit-level microdata · average monthly earnings of regular wage/salaried workers (validated against the published ₹21,000)

₹ per month, regular-salaried
Others
₹25,957
OBC
₹19,735
Scheduled Tribe
₹18,343
Scheduled Caste
₹16,516

Among regular-salaried workers, a Scheduled Caste worker earns Rs 16,516 per month, 36% less than an 'Others' caste worker at Rs 25,957.

Wages from the Periodic Labour Force Survey show a caste hierarchy that mirrors the consumption ladder. ‘Others’ caste workers earn the most, followed by OBCs (Rs 19,735, 24% gap), Scheduled Tribes (Rs 18,343, 29% gap), and Scheduled Castes (Rs 16,516, 36% gap). These are regular-salaried workers only, about a quarter of the workforce. The gap reflects differences in education, occupation, and sector — it is not a pure measure of discrimination. But it is a starting point: before consumption patterns or wealth, the pay packet already differs sharply by caste.

How to readHorizontal bars for each caste group, with percentage difference from 'Others' noted.

Watch outThis is limited to regular-salaried workers; the self-employed and casual labourers are excluded.

What happens when caste and gender stack together?

The two disadvantages compound. Among regular-salaried workers, a forward-caste woman earns 84% of what a forward-caste man earns. An OBC woman earns 73%. A Scheduled Caste or Scheduled Tribe woman earns just 63% of her male counterpart’s salary. The gender pay gap is widest exactly where the caste gap is widest.

The absolute amounts are even starker. A forward-caste man earns Rs 27,004; a forward-caste woman Rs 22,630. A Scheduled Caste man earns Rs 18,384; a Scheduled Caste woman Rs 11,665. The chart shows that inequality is not additive, it is multiplicative. The most disadvantaged group faces a double penalty.

Chart 15

Caste and gender stack on top of each other

Computed from PLFS 2023-24 unit-level microdata · female regular-salaried wage as a share of male, by caste

women's pay as % of men's
Others
84.0
OBC
73.0
Scheduled Caste
63.0
Scheduled Tribe
63.0

Scheduled Caste and Scheduled Tribe women earn just 63% of their male counterparts’ salary; forward-caste women earn 84%.

The gender pay gap among regular-salaried workers varies sharply by caste. For ‘Others’, women earn 84% of what men do — a gap, but relatively narrow. For OBCs, the ratio drops to 73%. For Scheduled Castes and Scheduled Tribes, it falls to 63%. The absolute figures are even more telling: a forward-caste man earns Rs 27,004, a forward-caste woman Rs 22,630; a Scheduled Caste man earns Rs 18,384, a Scheduled Caste woman Rs 11,665. The two disadvantages compound: the gender gap is widest exactly where the caste gap is widest.

How to readHorizontal bars showing women’s wage as a percentage of men’s, within each caste group. Lower bar = wider gap.

Watch outThe percentage hides absolute levels. Both men and women from disadvantaged groups earn less, so the 63% is a fraction of a smaller base.

Do wages divide along religious lines too?

On the earnings side, the PLFS data shows Muslim regular-salaried workers at Rs 17,671 per month, compared to Rs 21,332 for Hindu workers. Christian workers earned Rs 25,094, Jain workers Rs 24,678, and Sikh workers Rs 17,055. The gaps are consistent with the consumption differences, though the Sikh figure here is lower than the consumption ranking, likely due to differences in sample and occupational mix.

As with consumption, religious wage gaps are influenced by regional concentration, urbanisation, and sectoral employment. These raw averages do not establish discrimination, but they show the structure of earnings across communities.

Chart 16

And wages split by religion too

Computed from PLFS 2023-24 unit-level microdata · average monthly regular-salaried earnings by religion

₹ per month, regular-salaried
Christian
₹25,094
Jain
₹24,678
Buddhist
₹23,940
Hindu
₹21,332
Muslim
₹17,671
Sikh
₹17,055

Muslim regular-salaried workers earn Rs 17,671 per month, compared to Rs 21,332 for Hindu workers.

The PLFS data shows average monthly wages for regular-salaried workers by religion. Christian workers earn the most (Rs 25,094), followed by Jain (Rs 24,678) and Buddhist (Rs 23,940). Hindu workers earn Rs 21,332. Muslim workers earn Rs 17,671, and Sikh workers Rs 17,055. These raw averages do not control for occupation, education, or region. The lower average for Sikhs, for example, may partly reflect the high proportion of Sikh workers in manufacturing or blue-collar roles. The Muslim wage gap, consistently about 17% below the Hindu average, aligns with other surveys.

How to readHorizontal bars by religion, with the Hindu bar as reference.

Watch outSmall sample sizes for some groups; these are raw averages, not causal evidence of discrimination.

What about extreme poverty? Has it fallen?

While the top has pulled away, the bottom has not stood still. The share of Indians living below the extreme poverty line of $2.15 a day (2017 PPP) has collapsed: from 59.7% in 1977 to 5.3% in 2022. The steepest falls occurred after 2004. In absolute numbers, hundreds of millions have moved above the most basic subsistence threshold.

This is the other half of the inequality story. The floor rose dramatically. But the ceiling rose faster. Falling extreme poverty and rising top-end inequality are both true at the same time. One does not cancel the other. The distance between the poorest and the richest has widened, even as acute destitution has shrunk.

Chart 17

The other half: extreme poverty fell sharply

World Bank · SI.POV.DDAY

% of population
5.3

2022 · latest point

0.020.040.060.0198019902000201020200.020.040.060.019801990200020102020

Extreme poverty ($2.15/day) fell from 59.7% in 1977 to 5.3% in 2022.

One single line tells the story of the bottom rising. In 1977, nearly six in ten Indians lived below the absolute poverty line. By 2022, that share had collapsed to one in twenty. The steepest decline occurred after 2004, corresponding to a period of high growth and expanded welfare. This does not mean inequality fell; it means the floor rose dramatically. The top continues to pull away, but the condition of the poorest has improved vastly. Both facts can be true, and both are present in the data.

How to readA single line dropping from 1977 to 2022. The y-axis is percentage of population below $2.15/day.

Watch outThis is an absolute poverty line, not a measure of inequality. Falling poverty and rising top-end inequality can and do coexist.