High headline growth has masked a measurable decline in the institutions of accountability and the income share of ordinary Indians. On cross-era measures India is worse under NDA (2014–26) than under UPA (2004–14) — democratic quality, statistical integrity, fiscal centralisation, press freedom and inequality all deteriorated; the one honest exception is inflation. See the computed verdict →
India's Growth Paradox
GDP up, jobs down, inequality soaring
India's GDP grew at 6.8% annually since 2014, yet formal employment declined, the top 1% now holds more wealth than during British colonial rule, and democratic institutions have eroded by every international measure. This independent, data-driven research examines what the headline numbers hide — with interactive charts, downloadable datasets, and three novel indices you won't find anywhere else. Data updated through June 2026.
Why This Research Matters
India is the world's fastest-growing large economy — but growth alone doesn't tell the story. This research connects the dots between macro numbers and lived reality.
- • Employment elasticity collapsed to near-zero despite GDP growth
- • Inequality now exceeds every comparable democracy
- • Key economic surveys suppressed or indefinitely delayed
- • States losing fiscal autonomy through cess and surcharge mechanisms
What You'll Find Here
- Interactive charts comparing 20+ economic indicators (2004-2026)
- Three novel indices: SSI, FCI, DQI — quantifying what others describe qualitatively
- International comparisons with Brazil, Turkey, Hungary, South Africa
- Human stories behind the statistics
- Downloadable data (CSV, JSON) and replication code (R, Python)
- Tailored views for researchers, journalists, policy makers, and citizens
Animated Data Timeline
Watch India's key indicators evolve from 2014 to 2026. Press play to animate through the years.
Three Novel Indices — Measuring What Others Only Describe
Original research contributions that quantify institutional deterioration empirically:
High headline growth has masked a measurable decline in the institutions of accountability and the income share of ordinary Indians. On cross-era measures India is worse under NDA (2014–26) than under UPA (2004–14) — democratic quality, statistical integrity, fiscal centralisation, press freedom and inequality all deteriorated; the one honest exception is inflation. See the computed verdict →
Executive Summary: India's Growth Paradox (2004-2026)
India grew at 6.8% annually from 2014 to 2025 — yet formal employment declined, inequality reached levels unseen since 1922, and every major international index recorded democratic deterioration. This isn't a story of failure; it's a story of growth that bypassed the majority.
Core Findings
Employment Crisis
- • Employment elasticity collapsed to 0.01 (2014-17)
- • Formal jobs declined from 13% to 11%
- • 80% of new jobs are precarious/informal
- • Graduate unemployment: 27% (Mar 2026)
Inequality Surge
- • Top 1% income share: 22.8% (highest since 1922)
- • Bottom 50% share: 13% (declining)
- • Wealth concentration exceeds Brazil
- • Regional disparities widening
Fiscal Centralization
- • States' tax share declined to 32%
- • Cess/surcharge bypass: 20% of taxes
- • Conditional borrowing imposed
- • FCI rose from 0.62 to 0.79
Democratic Erosion
- • Press freedom: 140th → 157th globally (RSF 2026)
- • V-Dem score: 0.71 → 0.26
- • Statistical suppression rising
- • Census indefinitely postponed
The Bottom Line
India achieved "populist growth without accountability"—high aggregate growth that enriched elites while employment stagnated, inequality soared, and institutional checks weakened. The three indices (SSI, FCI, DQI) quantify this democratic backsliding empirically through June 2026.
These findings build one case: on cross-era measures India is worse under NDA (2014–26) than under UPA (2004–14) — democratic quality, statistical integrity, fiscal centralisation, press freedom and inequality all deteriorated; the one honest exception is inflation. See the computed verdict →
Key Findings
GDP Growth vs Employment
GDP growth runs the full 2004→2026 (World Bank); unemployment is shown from 2014 (PLFS-era series).
While GDP grew at 6.8% average (2014-Mar 2026), unemployment initially rose before recent declines.
Formal vs Informal Employment
Formal/informal employment is shown from 2014 (PLFS-era series); no comparable annual series exists for the UPA decade.
Formal employment declined from 13% to 11% despite economic growth through Mar 2026.
Income Inequality Trends
Top 1% income share rose to 22.8% while bottom 50% fell to 13% by Mar 2026.
Interactive Data Explorer
Explore 11 years of economic data. Select up to 3 indicators to compare trends. Export data as CSV or save charts as images.
Shaded bands mark the UPA era (2004–14) and NDA era (2014–26), split at the 2014 divider. Shaded bands mark the UPA era (2004–14) and NDA era (2014–26), split at the 2014 divider. GDP, inflation, fiscal deficit, inequality and press freedom run the full 2004→2026 on a consistent single-source basis. Unemployment and formal employment are shown from 2014 (PLFS era); SSI/FCI/DQI before 2014 are the author's back-cast (see Methodology).
Policy timeline, 2016–2024
The moments that bend the lines above. Toggle the overlay to line them up against any indicator.
Correlation Explorer
Discover hidden relationships between indicators. Select any two variables to plot against each other as a scatter plot. Each point represents one year (2014-2026). Hover for details.
Interesting Presets
Three Novel Indices
These indices quantify institutional changes that are typically described only qualitatively. All three show concerning trends from 2014 through June 2026.
All Three Indices (Normalized 0-10)
SSI/FCI/DQI before 2014 are the author's back-cast reconstruction from the documented record (survey timeliness, states' tax share, and the V-Dem / Freedom House / RSF scores). See Methodology.
SSI: Statistical Suppression
- • Census postponed indefinitely
- • CES 2017-18 suppressed
- • PLFS delayed by 2 years
- • NSC resignations
FCI: Fiscal Centralization
- • Cess share: 10.4% → 20.5%
- • States' share: 42% → 32%
- • GST compensation delays
- • Conditional borrowing
DQI: Democratic Quality
- • Press freedom: 140 → 157
- • Freedom House: 77 → 65
- • V-Dem: 0.555 → 0.260
- • Internet shutdowns: 98 (2026)
Human Stories Behind the Numbers
The People Behind the Data
Statistics describe trends; stories reveal impact. These four data narratives connect economic indicators to lived experiences — with charts, verified data points, and representative accounts drawn from field reporting.
Story 1: The Gig Economy Trap
Lead: Rajesh, 28, has an engineering degree from a reputed college. Today, he delivers food for 12 hours a day, earning ₹15,000/month—less than a security guard.
The Numbers: India has 8.2 million gig workers (Mar 2026), up from 1.2 million in 2016. 68% have college degrees. Median income: ₹15,000/month. No social security, no paid leave.
Quote: "They call us 'partners' but treat us like servants. No fuel reimbursement when petrol hits ₹120. Algorithm decides everything—one bad rating and income drops 40%."
Impact: Graduate unemployment at 28.5% forces educated youth into precarious work. The "world's fastest-growing economy" runs on exploitation of its brightest minds.
Story 2: The Farmer's Paradox
Lead: In Vidarbha, cotton farmer Shankar received ₹6,000 under PM-KISAN. His input costs rose by ₹45,000. He now works as a construction laborer in Mumbai.
The Numbers: Agricultural households' real income declined 2% annually (2014-Mar 2026). Input costs rose 127%. MSP coverage: only 6% of farmers. Rural distress migration: 22 million.
Quote: "₹6,000 is a cruel joke. Fertilizer bag costs ₹1,400. They give us drops while drowning us in debt. My son will never farm—I'll sell the land first."
Impact: Direct transfers mask structural crisis. 45% of rural households in debt. Average debt: ₹1.3 lakh. Agriculture employs 45% but contributes only 15% to GDP.
Story 3: The Missing Women Workers
Lead: Priya, MBA from IIM, quit her ₹18 lakh/year job. "Childcare costs ₹25,000/month. After taxes and expenses, I was paying to work."
The Numbers: Female LFPR: 20.9% (Mar 2026), among world's lowest. Urban educated women: Only 25% employed. India loses $850 billion GDP from missing women workers.
Quote: "Society judges working mothers, offices demand 14-hour days, zero support systems. It's not a choice—it's survival. My education is wasted, but my child needs me."
Impact: 170 million women could enter workforce with proper support. No mandatory maternity benefits in informal sector (employs 95% women workers).
Story 4: The Statistical Darkness
Lead: Dr. P.C. Mohanan resigned from the National Statistical Commission: "They suppressed data showing rural consumption declined for first time in 40 years."
The Numbers: Last Census: 2011. Last Consumption Survey released: 2011-12. Employment survey delayed 2 years. 108 statistical reports withheld/delayed since 2014.
Quote: "Without data, there's no accountability. They're hiding mass impoverishment behind GDP headlines. When governments fear data, citizens should fear government."
Impact: Policy made blind. ₹3 lakh crore allocated without poverty data. International agencies downgraded India's statistical credibility. Democracy needs transparency.
Cite & download
Every chart on this site has a ⤓ button that exports it as a PNG with the source and citation baked in. The full dataset and code are open.
Raman, V.S. (2026). Some Perspective: India’s Economic Transformation. someperspective.info. Licensed CC BY 4.0. Per-series sources are listed in data.json and below.
Sources & freshness
Data current as ofEvery series, its source, and how it was produced. Observed values run through 2026; 2027+ in the indicator block are simple continuations (flagged *), and the Economic Trajectory tab holds the scenario projections.
| Indicator | Type | Source |
|---|---|---|
Glossary
Plain-language definitions for the terms used across the site. Dotted-underlined words elsewhere are tappable for the same pop-up.
No terms match “”.
Methodology
Data Sources & Triangulation
This research triangulates four categories of sources to ensure robustness against political manipulation of any single dataset:
1. Official Sources
- • PLFS (employment data)
- • National Accounts (GDP)
- • Union Budget documents
- • RBI State Finances
- • Finance Commission reports
2. Independent Domestic
- • CMIE Consumer Pyramids
- • ASER education reports
- • ADR electoral data
- • RTI disclosures
- • CAG audit reports
3. International Datasets
- • World Inequality Database
- • V-Dem Democracy Index
- • Freedom House scores
- • RSF Press Freedom
- • IMF, World Bank, ILO
4. Qualitative Sources
- • Parliamentary debates
- • Supreme Court judgments
- • Investigative journalism
- • Field interviews
- • Expert consultations
Data Coverage by Source Type
SSI: Component Contributions
Each band's width is the component's severity × weight, i.e. how much it pushes the aggregate score up. Hover a band to see the contribution.
Index Construction
Statistical Suppression Index (SSI)
SSI_t = Σ(severity_i × salience_i) / n Severity: Withheld (1.0), Delayed (0.5), Revised (0.3) Salience: Census (1.0), CES (0.8), PLFS (0.7), Other (0.6)
Fiscal Centralization Index (FCI)
FCI_t = (C_norm + D_inverted + B_norm) / 3 C: Cess share (normalized) D: Devolution to states (inverted) B: Borrowing conditions (0-1)
Democratic Quality Index (DQI)
DQI_t = (V-Dem × FH × RSF)^(1/3) Geometric mean ensures weakness in any dimension reduces overall score
International Comparisons & Implications
Democratic Backsliding: International Context
Democratic Quality Decline: Multi-Country Comparison
State-Level Disparities: Per Capita GSDP (2025-26)
India's growth story varies dramatically by state. Southern and western states show 3-5x higher per-capita output than eastern states.
India vs Peers (Mar 2026)
| Country | V-Dem | Press |
|---|---|---|
| India | 0.26 | 157 |
| Brazil | 0.69 | 80 |
| Turkey | 0.18 | 159 |
| Hungary | 0.41 | 70 |
Key Implications
- • India shows steepest democratic decline among major economies
- • Statistical suppression unprecedented in democratic contexts
- • Fiscal centralization exceeds even unitary states
- • Pattern suggests "competitive authoritarianism"
Theoretical Contribution
India represents a new variant of democratic backsliding: "populist growth without accountability" where high GDP growth coexists with institutional erosion, enabled by digital welfare delivery and narrative control through statistical suppression.
Era Comparison: UPA vs NDA
On comparable measures, India is worse under NDA (2014–26) than under UPA (2004–14) — including every measure of democratic quality, statistical integrity, fiscal centralisation, press freedom and income inequality. The honest exception is : inflation was markedly higher under UPA-2 (double digits, 2009–13), so NDA looks better there. The site's claim is precise — the decline is concentrated in the institutions of accountability and the distribution of income, not in every macro headline. Data speaks louder than slogans.
Both columns are period averages computed live from the data — only consistent single-source series (no definitional breaks) are compared here. Unemployment and formal employment have no comparable UPA-era series; see the scorecard below.
Scenario Lab: "What If?" Simulator
Adjust the sliders to model hypothetical scenarios. See how changes in one variable could affect the three indices based on estimated elasticities from the data.
Move the sliders above. The Sankey shows how each lever flows into the three indices — band width = scenario contribution.
Quick Scenarios
State Explorer
India's states are diverging — in income, in representation, and in demographics. Pick a metric; states are ranked and coloured by region.
Takeaway:
Deep Analysis
Computed from data.json. Values marked with * are projections; everything else is observed.
UPA vs NDA: Computed Scorecard
Averages over each regime period from data.json. UPA averages reflect 2004-2014 published estimates; NDA averages are computed live from the loaded series.
| Indicator | UPA (2004-14) | NDA (2014-26) | Change |
|---|
The Decoupling: Growth Without Jobs
Cumulative real GDP growth since 2014 (left axis) plotted against formal employment share (right axis). If growth and jobs moved together, the lines would track. They don't.
Cumulative GDP series compounds annual growth from a 2014 base of 100. Formal employment is the share of workers with social security cover (PLFS).
Peer Trajectories (2014 → 2026)
India alongside four other backsliding-or-recovering democracies. Click a header to sort.
| Country | V-Dem 2014 | V-Dem 2026 | Δ V-Dem | RSF 2014 | RSF 2026 | Δ RSF |
|---|
What Moved in the Latest Year
Change between the previous and latest observed years for each headline indicator.
Supplementary Data Series
Five additional indicator series from data/*.csv (2004-2025). Shaded bands show the estimation confidence interval (lo/hi). Click Export CSV on any chart to download its raw data.
Communal Incidents (2004-2025)
Opposition Incarceration Cases (2004-2025)
Education Exam Disruption Events (2004-2025)
Open Defecation Free Adoption (2004-2025)
State Cess/Surcharge Share of Revenue (2004-2025)
Sources for all values
- GDP growth: MOSPI First Advance Estimates of National Income 2025-26 (2011-12 base).
- Unemployment (Mar 2026 monthly): NSO PLFS Monthly Bulletin.
- Press freedom: Reporters Without Borders, 2026 World Press Freedom Index (released 30 April 2026).
- V-Dem: Varieties of Democracy v15 dataset (2026 release).
- Inequality: World Inequality Database (WID.world) India series.
- Supplementary CSVs: Compiled from Government of India sources (NFHS, NHA, ISFR, MHA, CEA, and others) with transparent interpolation rules. See
data/METHODOLOGY.mdfor details.
What Next? Action Items
For Policy Makers
- Restore statistical independence
- Implement 16th FC recommendations
- Create urban employment guarantee
- Enforce fiscal federalism
- Strengthen institutional autonomy
For Journalists
- Use data for evidence-based reporting
- Question official narratives with verified statistics
- Highlight inequality impacts with human stories
- Document institutional changes over time
- Exportable charts and downloadable datasets
For Citizens
- Demand data transparency from elected officials
- Look beyond GDP headlines to employment and inequality data
- Support independent media and fact-checking
- Engage in democratic processes with informed perspectives
- Share verified information, not forwards
A Call for Truth and Transparency
Democracy thrives on information, debate, and accountability. When data is suppressed, institutions captured, and dissent silenced, democracy withers. India's future depends on citizens demanding transparency and holding power accountable.
Share this research. Ask questions. Demand answers.
#SomePerspective #DataForDemocracy #IndiaEconomy
Where is India's economy heading?
Not just where the numbers have been, but where they are going. Each indicator below is projected from 2026 to 2030 by extending its recent trend, then applying one of three explicit scenarios. The further out the line, the wider the band — because beyond the near term, the assumption, not the economy, decides the number.
India Trajectory Index, 2030
Composite of 8 indicators, scored 0–100 (higher = healthier). Reflects the selected scenario and any active levers.
Choose a scenario
What would change this?
Toggle policy levers to see their (illustrative) effect on the 2030 index.
Weight the indicators
The index is your call. Drag a slider to weight what you think matters — the gauge and verdict update live. A weight of 0 drops an indicator entirely. Custom weighting active.
Indicator forecast to 2030
Black line = observed (2014–2026). Dashed amber = central projection. Shaded band = ±1 scaled standard error, widening with the horizon. Method: OLS trend over recent years + scenario annual adjustment.
All three scenarios
2026 → 2030, current scenario
Central projection under (levers applied). Green = improvement, red = deterioration.
| Indicator | 2026 | 2030 | Change |
|---|
How to read a forecast (and why we resist calling it a prediction)
- • Trend, not destiny. Each central path extends the recent OLS trend of an observed series. Trends break.
- • Scenarios are assumptions. The reform/stress adjustments are deliberate, documented choices — change them in
data.jsonand the future changes with them. - • The band is the honesty. It widens with the square root of the horizon: 2030 is far less certain than 2027.
- • The index is a lens, not a verdict. It averages eight indicators with transparent good/bad anchors; weight them differently and the headline moves.
Reading the Indian Economy
How the economy is measured, what the numbers say, and who decides what counts. Eleven sections, following the lecture from A (what an index even is) to K (how we know any of it). Pick a section below.
What is an index, and why does the definition matter?
An index is one number summarising many prices. It picks a basket, assigns weights, and tracks the weighted total against a base year. Two choices make it political: what goes in the basket (urban professional spending looks nothing like a landless labourer's), and where you set the base year (reset it and the whole series shifts).
| Item | Weight | Then | Now | Change |
|---|---|---|---|---|
| ₹ | ₹ | +% |
If onions are 15% of the basket, a 67% spike adds ~10 points to inflation on its own.
What GDP counts — and what it silently ignores
GDP is the money value of all final goods and services produced in a year. Three routes to the same room — they should match:
GDP counts a hospital treating a pollution victim, not the clean river that would have prevented the illness. It counts a soldier's salary, not the unpaid care work of 200 million women. Nominal GDP uses today's prices; real GDP strips out inflation — and the difference is who gets to claim the growth.
Why the 2015 GDP revision is still disputed
- •
includes dormant companies with stale filings. The EAC-PM called the critique "cherry-picked." No independent review was ever commissioned.
The big picture, in five numbers
A big economy and a poor country at the same time. Most arguments about India start by stressing one and forgetting the other.
Same start in 1991. Very different destinations.
China ran labour-intensive manufacturing and built a consuming middle class. India ran services — which export dollars but don't employ at scale.
Jobless growth: GDP grows, formal jobs per rupee collapse
In the 1980s, 1% of GDP growth created ~2 lakh formal jobs. By the 2010s, the same 1% created fewer than 20,000.
A massive young population and a tiny formal job market. The two eras compared: UPA averaged ~7.1% growth, NDA ~6.1% — see Era Comparison.
Output here, jobs there
Same investment. Vastly different jobs.
Choosing electronics over garments favours output-per-worker over employment scale. The statistics look better; the person who needed the job loses.
GDP climbs. Most wages stand still.
Under UPA, real rural wages grew 3–6% a year. Under NDA, growth collapsed toward zero (negative in FY17, FY22, FY23) even as GDP expanded 7–8%. Jean Dreze (2023): wages, more than unemployment, are the thing to watch.
Unemployment: the ruler decides the number
Female labour-force participation has risen on paper — but much of it is distress work; the salaried urban number has barely moved and is among Asia's lowest.
If you earn ₹50,000 a month, you are in the top 3–5% of India
Monthly income, and where it places you.
The "300–400 million middle class" of market research includes everyone above subsistence. By any serious income threshold, the consuming, salaried, tax-paying middle is 80–120 million — about one-seventh of what gets quoted.
What the bottom half actually earns
A rural family of four spends ~₹15,000 a month on everything. That is the median Indian's world — not the newspaper lifestyle section.
The long view: India was most equal in 1981
Banerjee & Piketty: the top 1% income share fell from 12% (1951) to a historic low of 4.4% in 1981 — driven down by high marginal taxes and nationalisation. The 1981 IMF loan came with conditions; Indira Gandhi began the pro-business reversal. Inequality has risen in every decade since. Today the top 1% takes ~23%; the bottom 50% takes ~13%.
How the inflation number is built
The government tracks ~ goods and services from urban markets and villages every month, against a base. Food is nearly half the basket (~%), so a bad monsoon pushing onion and tomato prices up adds points before anything else moves. The RBI targets CPI at %.
Inflation fell and mostly stayed inside the RBI band under NDA — partly because farm-gate food prices fell. Relief for the consumer; distress for the farmer.
Your real inflation index
The headline says . The thali disagrees.
The index tells you about the basket; it doesn't tell you about your basket.
The monsoon machine
~% of cultivated area is unirrigated and depends entirely on the southwest monsoon. The transmission chain:
Climate change is making the monsoon more erratic. The economic vulnerability is rising, not falling.
For every ₹100 the state takes
■ shared with states · ■ not shared. GST hits everyone at the same rate; the poor pay more as a share of income.
The tax reversal: corporates pay less, individuals pay more
The shortfall was covered by GST, fuel excise, and new cesses — paid by ordinary people. The individual now contributes more direct tax than the corporation.
The tax we abolished, and how GST works
India abolished its wealth tax in (it raised only ~₹ cr — poorly designed). Piketty's proposal: a % annual tax on net wealth above ₹ crore (~150,000 people) could raise 0.5–1% of GDP without touching ordinary savings.
GST (2017) merged central and state taxes into one. 41% of the divisible pool is devolved to states by formula — but cesses and surcharges sit outside the pool and have grown sharply, so states get nothing from them. Petrol, diesel and alcohol stay outside GST: a political choice, not a technical one.
For every ₹100 the state spends
Interest + states' share take 42 paise before a single scheme is funded. More goes to buildings (₹22) than to people (₹11).
BE, RE, and why the welfare budget shrinks twice
Social-sector spending is routinely cut at the RE stage because capex and interest are stickier. ₹ announced for MGNREGA at BE often reaches only ₹– by actuals. The family that needed the work was not consulted on the revision.
Below our own targets, for decades
Cash in hand: Tamil Nadu's KMUT
The case: recognises unpaid labour, boosts bottom-end consumption (largest multipliers), no significant inflation spike post-launch. The concern: fiscal space — if all states match, national arithmetic breaks; cash is supply-neutral.
The deficit fell — with borrowed help
The direction is right — but a record RBI dividend and off-budget borrowing (FCI, NHAI) prop up the arithmetic. Add those in and the true deficit is higher.
Rich states finance poor states
Return per ₹100 paid to the Union. Redistribution is the design — but it creates a tension: the states that run services well and grew slowly get less back.
The double punishment: delimitation
Seats were frozen on data; the freeze ends with the first census after 2026. Reapportioning on today's population: northern states gain, demographically stable southern states lose.
Less money back from the Centre AND fewer MPs to fight for more. Each MP already represents ~ million people, up from million in 1951.
Goods in deficit, services to the rescue
Why petrol doesn't fall when crude does
More than a third of the ₹ pump price is tax — excise + VAT (■). Most tax is fixed per litre, so the pump price doesn't fall one-for-one when global crude falls. India imports % of its crude.
When a PM asks citizens not to buy gold, the balance of payments is speaking
- •
Indians hold 25,000+ tonnes of gold (~$ tn — larger than GDP). They buy it because the formal system left them no better option: ~ mn adults excluded from banking, insurance penetration just % vs % globally.
Poverty: the contested number
Declining consumption data (2017-18) withheld; rising data (2022-23) released. A government that chooses which surveys to release has taken over the role of the statistician.
Among the most unequal countries in the world
More unequal than Brazil on income; among the most concentrated on wealth of any comparable economy.
The economy shows up in bodies and classrooms
A single hospitalisation can push a household below the poverty line — the medical poverty trap, not measured in GDP.
Every number rests on a choice
Which base year, which basket, which survey methodology, which poverty line, when to hold the census. Those decisions are technical — and political, because each has winners and losers. Five places where the choice, not the economy, moved the number:
How to read any official number
"A base year, a poverty line, a survey date, a census: each is a choice. Every choice has winners and losers. To read any number honestly is to ask who chose it, and what it leaves out."
Now see where the numbers are heading → Economic Trajectory · the methods → Methodology