I've wanted to write this for a while. Every political debate about India's two decades collapses into anecdote, WhatsApp forwards, and selective statistics. Both sides cherry-pick. Neither is wrong about their chosen numbers. Both are hiding inconvenient ones.
So I decided to do the boring, unflattering version: compile 120+ data points across eleven categories, note the source for each, and let the numbers speak. Where one era was clearly stronger, I say so. Where data is disputed between government and independent sources, I show both. For metrics where % growth is misleading due to a low starting base, I compare absolute values and note it in the comments.
The two periods are made equal: 2003–2014 (11 years) corresponds to the UPA government under Prime Minister Manmohan Singh (who took office in May 2004; I use 2003 as the baseline year). 2014–2025 (11 years) corresponds to the NDA government under Prime Minister Narendra Modi. Anchor points: 2003 → 2014 → 2025. Both eras faced global shocks — UPA dealt with the 2008 GFC, NDA with COVID-19 in 2020. I note this where relevant and include a full G7 baseline comparison at the end.
This is not a verdict on which government was "better." That involves values, priorities, and trade-offs that numbers alone cannot resolve. This is a map of what changed, by how much, and in which direction.
How to read this:
- P1 Change = change from 2003 to 2014 (UPA era, 11 years)
- P2 Change = change from 2014 to 2025 (NDA era, 11 years)
- Verdict is based on absolute change, not % — a high % from a very low base is a base effect, not necessarily better governance. Wherever this matters, it's noted in the comments column.
- Sources linked inline; government and independent sources both cited where they differ
- Where 2003 or 2025 data is unavailable, earliest/latest available year is used and noted
- All INR figures are nominal unless stated otherwise
NDA Stronger — NDA era had better absolute or rate-of-change improvement
UPA Stronger — UPA era had better absolute or rate-of-change improvement
Declined ↓ — metric worsened in 2014–25 vs 2003–14
Mixed / No Change — roughly equal or no meaningful difference
A. Macroeconomics
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 1 | Nominal GDP (USD billion) | $618B | $2,039B | $4,270B | +230% (+$1,421B) | +109% (+$2,231B) | NDA Stronger | P1 % is higher due to the lower base ($618B). But in absolute dollars added, P2 added $2,231B vs P1's $1,421B — 57% more. Growing a $2T economy to $4.3T is a harder feat than $618B to $2T. Base effect favours P1 on %; absolute value favours P2. World Bank / IMF WEO Apr 2025 |
| 2 | GDP PPP (USD billion, current intl $) | $2,020B | $7,100B | $16,600B | +251% (+$5,080B) | +134% (+$9,500B) | NDA Stronger | P2 added $9,500B in PPP wealth vs P1's $5,080B — nearly double in absolute terms. India passed Japan and Germany on PPP during P2. Base effect: P1 had higher % from a lower base ($2T); absolute tells a different story. IMF WEO Apr 2025 |
| 3 | Average Annual GDP Growth Rate (%) | — | — | — | 7.9% avg (11 yrs) | 5.9% avg (11 yrs) | UPA Stronger | P1 (FY04–FY14) avg ~7.9% incl. GFC 2009 (+6.7%). P2 (FY15–FY25) avg ~5.9% incl. COVID 2020 (−6.6%); excl. COVID, P2 avg ≈ 7.1%. FY25 advance estimate: 6.4%. Comparable shocks in each era. P1 had genuinely higher growth rate, aided by global EM tailwinds. World Bank / MoSPI |
| 4 | Per Capita GDP — Nominal (USD) | $556 | $1,576 | $2,940 | +183% (+$1,020) | +87% (+$1,364) | NDA Stronger | P1 % is higher due to base effect ($556 start). But P2 added more absolute dollars ($1,364 vs $1,020) from a harder base. Growing per capita from $556→$1,576 benefits from low-base tailwinds; $1,576→$2,940 requires real productivity gains at scale (1.4B population). P2 wins on absolute and difficulty-adjusted basis. World Bank |
| 5 | Per Capita GDP — PPP (intl $) | $2,000 | $5,450 | $11,000 | +173% (+$3,450) | +102% (+$5,550) | NDA Stronger | P2 added $5,550 in PPP per capita vs P1's $3,450 — 61% more in absolute terms. Same base-effect logic: % looks better in P1 because it starts from $2,000. What actually improved living standards faster is the absolute gain. IMF WEO Apr 2025 |
| 6 | Global GDP Rank (nominal) | 13th | 10th | 5th | +3 ranks | +5 ranks | NDA Stronger | Passed France (2019), UK (2022). On track to pass Japan by ~2030. IMF |
| 7 | CPI Inflation — Annual Average (%) | ~3.8% | ~10.0% | ~4.8% | +6.2pp (worse) | −5.2pp (better) | NDA Stronger | UPA era saw double-digit inflation (2009–14 avg ~9.5%). NDA period averaged ~5.5%, with RBI inflation targeting framework adopted 2016. RBI / World Bank |
| 8 | Foreign Exchange Reserves (USD billion) | $99B | $304B | $640B | +207% (+$205B) | +110% (+$336B) | NDA Stronger | P2 added more absolute reserves ($336B vs $205B) from a much harder base. India is now 4th largest Forex holder globally. Peak hit $704B in Sept 2024. Base effect: P1 had higher % from $99B start. RBI Weekly Statistical Supplement |
| 9 | FDI Inflows — Annual (USD billion) | $4.7B | $34.6B | $55B | +636% (+$30B) | +59% (+$20B) | UPA Stronger | Both on % and absolute terms, P1 wins — FDI added $30B in P1 vs $20B in P2. FDI has been declining from a peak of $85B (FY22) to ~$55B (FY25 est.), a concerning trend. P1 created India's FDI credibility. DPIIT |
| 10 | Merchandise Exports (USD billion) | $63B | $317B | $450B | +403% (+$254B) | +42% (+$133B) | UPA Stronger | P1 wins on both % and absolute — added $254B vs P2's $133B. Merchandise growth stalled post-2014 due to global trade slowdown and China competition. FY25 target: $500B not met. DGFT |
| 11 | Services Exports (USD billion) | $38B | $155B | $380B | +308% (+$117B) | +145% (+$225B) | NDA Stronger | P2 added $225B in absolute services exports vs P1's $117B — nearly double. GCC (Global Capability Center) boom drove P2 growth — India now hosts 1,700+ GCCs. Base effect: P1 had higher % from $38B. NASSCOM / RBI |
| 12 | Central Fiscal Deficit (% of GDP) | 4.1% | 4.5% | 5.6% | Widened 0.4pp | Widened 1.1pp | Declined ↓ | UPA failed to consolidate; NDA fared worse on this metric. COVID FY21 spike (9.2%) distorts; pre-COVID FY20 was 3.5% (best in decades). Target: 4.5% by FY26. MoF Union Budget |
| 13 | Tax-to-GDP Ratio (%) | 9.2% | 10.1% | 12.0% | +0.9pp | +1.9pp | NDA Stronger | GST implementation (2017), expanded tax base, UPI trails helping formalization. MoF |
| 14 | Direct Tax Collections (INR lakh crore) | ₹0.37L cr | ₹2.97L cr | ₹22.5L cr | +703% (+₹2.6L cr) | +658% (+₹19.5L cr) | NDA Stronger | P2 added ₹19.5L cr in absolute tax vs P1's ₹2.6L cr — a 7.5x difference in absolute terms. ITR filers grew from ~30M (2003) to ~90M (2025). GST + UPI trails + formalization drove P2. CBDT Annual Reports |
| 15 | BSE Sensex (year-end, index level) | 5,839 | 27,499 | ~79,000 | +371% (+21,660 pts) | +187% (+51,501 pts) | NDA Stronger | P2 added 51,501 index points in absolute terms vs P1's 21,660. Base effect: P1 % is higher from 5,839 start. Retail investor participation (SIP inflows) exploded in P2 — structural market deepening. BSE India |
| 16 | Tax-to-GDP Ratio (centre + state, %) | ~9.8% | ~10.4% | ~11.7% (FY24) | +0.6pp | +1.3pp | NDA Stronger | Verdict based on absolute pp added: P2 +1.3pp vs P1 +0.6pp. GST (2017) consolidated indirect taxes, widened the base. Direct tax formalization via PAN-Aadhaar linking, faceless assessments. Higher tax-to-GDP reflects deeper economic formalization. India still below emerging-market peers (~14–16% avg). Union Budget / NIPFP |
| 17 | Current Account Balance (% of GDP) | −0.1% | −1.7% | −1.1% (FY24) | −1.6pp (worsened) | +0.6pp (improved) | NDA Stronger | Verdict based on absolute change: P1 worsened deficit by 1.6pp of GDP; P2 improved by 0.6pp. India hit a CAD crisis in 2013 (rupee fell 15–20% in months). NDA maintained steadier external balance through commodity cycle. Note: both eras ran a deficit — the direction of change decides verdict. RBI Balance of Payments Data |
| 18 | External Debt (% of GDP) | ~21.1% | ~23.5% | ~19.0% (2024) | +2.4pp (worsened) | −4.5pp (improved) | NDA Stronger | Verdict based on absolute pp change: P1 increased external vulnerability by 2.4pp; P2 reduced it by 4.5pp. Lower external debt/GDP = less exposure to currency/global rate shocks. P2 benefitted from higher nominal GDP growth reducing the ratio, plus disciplined ECB policy. RBI India's External Debt |
A. Macroeconomics — Section Score (18 metrics)
14
NDA ↑
3
UPA ↑
1
Declined
0
Mixed
B. Roads & Transport Infrastructure
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 16 | National Highways — Total Length (km) | 65,569 | 91,287 | 1,45,155 | +39% | +59% | NDA Stronger | Note: 2015 reclassification added state highways to NH network (~28,000 km added on paper). Organic new-build is the better metric — see row 17. NHAI / MoRTH |
| 17 | NH Construction Rate (km/day avg) | ~7 | ~10 | ~33 | +43% | +230% | NDA Stronger | Peak: 37 km/day in FY22. This is actual construction, not reclassification. A genuine acceleration with no base-effect caveat. NHAI Annual Reports |
| 18 | 4-Lane+ Highways (km) | ~8,500 | 18,371 | 44,654 | +116% | +143% | NDA Stronger | NHAI |
| 19 | Expressways (km, operational) | ~185 | ~1,208 | ~4,500 | +553% (+1,023 km) | +273% (+3,292 km) | NDA Stronger | P1 % is misleading — it started near zero. What matters is absolute km built: P2 added 3,292 km vs P1's 1,023 km — over 3x more. Expressway network built in P2 include Purvanchal, Delhi-Mumbai, Agra-Lucknow, Yamuna, Bundelkhand. Clear P2 win. NHAI |
| 20 | PMGSY Rural Roads — Cumulative km Built | ~1.8L km | ~4.3L km | ~8.0L km | +139% (+2.5L km) | +86% (+3.7L km) | NDA Stronger | P1 launched PMGSY and deserves credit for the framework. But absolute km added: P2 built 3.7 lakh km vs P1's 2.5 lakh km — 48% more in absolute terms, from a higher base. PMGSY Portal / MoRD |
| 21 | % Eligible Habitations Connected (Rural) | ~37% | ~70% | ~99% | +33pp | +29pp | NDA Stronger | Pp gain looks similar (33 vs 29) but the last 30% of habitations are the hardest — remote, hilly, tribal areas. Connecting 37%→70% is structurally easier than 70%→99%. P2 completed what P1 could not. PMGSY |
| 22 | Railway Route km (total) | 63,465 | 65,808 | 68,043 | +3.7% | +3.4% | Mixed | New route additions have been slow in both eras (~2–3% per decade). Focus has shifted to capacity/electrification over new lines. Indian Railways Annual Stat Summary |
| 23 | Railway Electrification (km of BG routes) | ~16,000 | ~22,224 | ~61,500 | +39% | +177% | NDA Stronger | Mission 100% electrification declared 2017; 90%+ achieved by 2024. Saves ~₹14,000 crore/yr in diesel costs. Ministry of Railways |
| 24 | Vande Bharat Trains (semi-HSR, 160 km/h) | 0 | 0 | 100+ | — | New fleet | NDA Stronger | Designed and manufactured in India. First run: Feb 2019. 130+ trains operational by 2024. Ministry of Railways |
| 25 | High Speed Rail (350 km/h, km operational) | 0 | 0 | 0 | — | — | No Change | Neither era built HSR — both start and end at 0 km operational. Not a decline, just no progress. Mumbai–Ahmedabad HSR (508 km, ₹1.08 lakh crore, JICA-funded) was announced in 2017 and is under construction; target revised to 2026–27. NHSRCL |
| 26 | Metro Rail — Cities Operational | 1 | 5 | 21 | +4 cities | +16 cities | NDA Stronger | MoHUA Metro Rail Policy |
| 27 | Metro Rail — Total km Operational | 65 | 362 | ~1,000 | +457% (+297 km) | +176% (+638 km) | NDA Stronger | P1 had higher % from a tiny base (65 km). P2 added 638 km in absolute terms vs P1's 297 km — more than double. P2 also expanded to 20 new cities; P1 was mainly Delhi. MoHUA |
| 28 | Operational Airports | 61 | 75 | 150 | +23% | +100% | NDA Stronger | UDAN regional connectivity scheme launched 2016 drove tier-2/tier-3 airport expansion. AAI / MoCA |
| 29 | Air Passengers — Domestic (million/yr) | ~40M | ~61M | ~160M | +53% | +162% | NDA Stronger | Aviation democratized — India is now world's 3rd largest domestic aviation market. LCCs (IndiGo, Air Asia) drove this more than government policy. DGCA |
| 30 | Registered Vehicles (millions, cumulative) | ~57M | ~185M | ~380M | +225% (+128M) | +105% (+195M) | NDA Stronger | P2 added 195M vehicles vs P1's 128M in absolute terms. Base effect: P1 % higher from 57M base. Rising aspirational class, cheaper credit, and 2-wheeler boom drove both periods. VAHAN Dashboard / MoRTH |
| 31 | Road Accident Fatalities (annual) | ~83,000 | ~1,40,000 | ~1,68,491 | +69% | +20% | NDA Stronger | Absolute deaths rose +20% under NDA vs +69% under UPA, on a vehicle fleet that grew far faster. Deaths per 1 lakh registered vehicles fell from ~57 (2014) to ~38 (2024) — a ~33% improvement. Deaths per 1 lakh population also declined. Fairer metric: NDA reduced accident rate meaningfully despite more roads and far more vehicles. MoRTH Road Accidents Report |
| 32 | Railway Electrification (% of total route km) | ~23% | ~36% | ~100% (Dec 2023) | +13pp | +64pp | NDA Stronger | Verdict based on absolute pp added: P2 +64pp vs P1 +13pp — decisively NDA. India completed 100% railway electrification of broad-gauge routes by Dec 2023, eliminating diesel traction (~₹16,000 Cr/year fuel saving). This was a stated NDA Mission Electrification target. UPA laid groundwork but scale-up was overwhelmingly P2. Ministry of Railways Annual Report |
| 33 | Major Port Cargo Throughput (million tonnes, annual) | ~314 MT | ~851 MT | ~1,600 MT (FY24) | +537 MT | +749 MT | NDA Stronger | Verdict based on absolute MT added: P2 +749 MT vs P1 +537 MT. Sagarmala Programme (2016) targeted port-led industrialization — modernization, new berths, rail connectivity to hinterland. Capacity utilization improved; turnaround time fell from ~4 days (2014) to ~0.9 days (2024). Sagarmala / MoPSW |
| 34 | Logistics Performance Index — Score (World Bank, 1–5) | 3.07 (2007) Rank 39/150 (26th %ile) | 3.08 (2014) Rank 54/160 (34th %ile) | 3.41 (2023) Rank 38/139 (27th %ile) |
Score +0.01 (flat); %ile 26→34 (worsened) | Score +0.33; %ile 34→27 (improved) | NDA Stronger | Verdict based on LPI score (comparable across years) AND percentile-adjusted rank. UPA left logistics score flat and percentile worsened (26th→34th). NDA improved score by +0.33 and recovered to 27th percentile — Sagarmala, PM Gati Shakti (multimodal logistics), NLP 2022 drove gains. India target: top 25 in LPI by 2030. World Bank LPI |
B. Roads & Transport — Section Score (19 metrics)
17
NDA ↑
0
UPA ↑
0
Declined
2
Mixed
C. Energy & Power
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 32 | Total Installed Power Capacity (GW) | 107 | 250 | ~500 | +134% (+143 GW) | +100% (+250 GW) | NDA Stronger | P2 added 250 GW vs P1's 143 GW in absolute terms. P2 also shifted the mix — renewable went from ~5% to ~25% of installed capacity. Base effect: P1 had higher % from 107 GW base. CEA (Central Electricity Authority) |
| 33 | Solar Energy Installed Capacity (GW) | ~0.01 | 2.6 | ~90 | Nascent | +3,362% | NDA Stronger | India became world's 3rd largest solar market. Target: 500 GW renewable by 2030. This is a genuine P2 achievement — solar barely existed in P1. MNRE |
| 34 | Wind Energy Installed Capacity (GW) | ~4.4 | ~22 | ~46 | +400% | +109% | UPA Stronger | P1 saw faster wind growth. P2 focus shifted heavily to solar, which is cheaper. Wind growth decelerated. MNRE |
| 35 | Renewable Energy % of Total Power Gen | ~29% (mainly hydro) | ~30% | ~40% | +1pp | +10pp | NDA Stronger | Non-hydro renewable: 2014 ~5%, 2024 ~25% — a structural shift. CEA |
| 36 | Household Electrification (%) | ~56% | ~67% | ~99.9% | +11pp | +32pp | NDA Stronger | Saubhagya scheme (2017) provided connections to ~26M unelectrified homes. Quality of supply (hours/day) still uneven but access is near-universal. Saubhagya Portal / MoP |
| 37 | Coal Production (million tonnes) | 407 | 612 | ~997 | +50% | +63% | NDA Stronger | India became coal self-reliant — imports reduced. Coal India production crossed 900 MT. Dual-edged: energy security vs. climate commitments. Coal India Ltd |
| 38 | Electric Vehicles Sold (thousands, annual) | <1 | ~3 | ~1,700 | Nascent | Explosive | NDA Stronger | FAME I (2015), FAME II (2019), PLI for EV battery drove growth. 2-wheeler EVs dominate. Cars: ~100k units. VAHAN / SIAM |
C. Energy & Power — Section Score (7 metrics)
6
NDA ↑
1
UPA ↑
0
Declined
0
Mixed
D. Digital & Technology
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 39 | Internet Users (millions) | ~18M | ~243M | ~950M | +1,250% (+225M) | +291% (+707M) | NDA Stronger | P2 added 707M internet users vs P1's 225M — over 3x more in absolute terms. Jio (Sept 2016) dropped data to near-zero price; India went from the world's most expensive to cheapest data. Base effect: P1 started from only 18M. TRAI Telecom Subscription Data |
| 40 | Mobile Subscribers (millions) | 76 | 944 | ~1,170 | +1,142% | +24% | UPA Stronger | P1 was the mobile revolution decade — from 76M to 944M is extraordinary. P2 is saturation phase; growth in smartphones and data, not new SIMs. TRAI |
| 41 | Avg Mobile Data Cost (USD/GB) | ~$12 | ~$6 | ~$0.09 | −50% | −98.5% | NDA Stronger | Jio disruption made India the world's cheapest data market. Enabled digital public goods at population scale. Cable.co.uk Worldwide Mobile Data Pricing |
| 42 | Broadband Subscribers (millions) | ~1M | ~61M | ~950M | +6,000% (+60M) | +1,457% (+889M) | NDA Stronger | P2 added 889M subscribers vs P1's 60M — 15x more in absolute terms. Jio triggered a complete market restructuring. Base effect: P1 started from ~1M, hence astronomical %. Fixed broadband still weak; 99% of P2 gains are wireless. TRAI |
| 43 | UPI Monthly Transactions (billions) | 0 | 0 | ~14B | — | Built from zero | NDA Stronger | UPI launched Oct 2016. India now processes more real-time digital payments than USA + Europe + China combined. A genuine global first. NPCI UPI Stats |
| 44 | Aadhaar Enrollment (millions) | 0 | ~600M | ~1,380M | Built in P1 | +130% | UPA Stronger | Aadhaar was initiated and built under UPA (UIDAI formed 2009). NDA leveraged and expanded it for DBT, Jan Dhan, etc. Both deserve credit here. UIDAI |
| 45 | IT / Software Exports (USD billion) | $13B | $86B | ~$290B | +562% (+$73B) | +237% (+$204B) | NDA Stronger | P2 added $204B in absolute IT exports vs P1's $73B — 2.8x more. GCC boom (1,700+ centres by 2025) is a structural P2 shift. Base effect: P1 started from $13B, hence high %. NASSCOM Tech Report 2025 |
| 46 | Unicorn Startups (count) | ~1 | ~3 | ~110 | +2 | +107 | NDA Stronger | India became 3rd largest startup ecosystem globally. Flipkart ($21B exit), Zepto, Meesho, CRED etc. driven by P2 conditions — cheap data, UPI, digital-native consumers. Hurun India / CB Insights |
| 47 | BharatNet — OFC Laid (km, cumulative) | 0 | 0 | ~680,000 | — | New initiative | NDA Stronger | Target: fiber to all ~250,000 Gram Panchayats. Execution has been slower than planned but significant ground covered. DoT / BharatNet |
| 48 | CoWIN / DigiLocker / ONDC (digital public infra) | 0 | 0 | Active | — | Built in P2 | NDA Stronger | India Stack — Aadhaar + UPI + DigiLocker + CoWIN + ONDC — is arguably India's most globally replicated policy innovation. Recognized by IMF, World Bank, G20. India Stack |
| 48a | Global Innovation Index Rank (WIPO) | ~62/117 (2007) (53rd %ile) | 76/143 (2014) (53rd %ile) | 39/132 (2023) (30th %ile) |
%ile: flat (53→53) | %ile: 53→30 (+23pp) | NDA Stronger | UPA kept India flat in innovation percentile rank despite global expansion. NDA moved India from 53rd to 30th %ile — driven by startup ecosystem growth, patent filings, R&D investment, and tech talent pool. India's GII rank improvement (76→39) is one of the largest rises globally in a decade. India now outranks China (26) is within reach. Target: top 25 by 2027. WIPO Global Innovation Index |
| 48b | Indian Unicorns — Count (startups valued $1B+) | 0 (2006) | 4 (2014) | ~111 (2024) | +4 | +107 | NDA Stronger | India is now the world's 3rd-largest startup ecosystem after US and China. Unicorns span fintech, edtech, logistics, SaaS, D2C. UPA built the policy foundations (Startup India launched 2016 under NDA, but digital infra groundwork was laid earlier). Funding peaked in 2021-22; corrected since. NASSCOM / Tracxn |
| 48c | ISRO — Satellites Launched & Major Milestones | ~8 satellites (2003–04 era baseline) | ~38 satellites (2003–14) 1 landmark mission Chandrayaan-1 (2008) | ~130 satellites (2014–25) 6 landmark missions |
~30 satellites added 1 landmark mission | ~92 satellites added 6 landmark missions |
NDA Stronger | Verdict based on total satellites launched + landmark missions. P1 (2003–14): ~38 satellites across PSLV/GSLV missions; landmark: Chandrayaan-1 (2008, India's first lunar orbiter, first to detect water ice on Moon). P2 (2014–25): ~130 satellites including PSLV-C37 (2017, set world record of 104 satellites in single launch — smashed previous record of 37), Cartosat, NavIC constellation (7 satellites, India's own GPS), and commercial launches via NewSpace India Ltd. Landmark missions: Mangalyaan/MOM (2014, first Asian Mars mission, first attempt globally to succeed), PSLV-C37 (world record), Chandrayaan-2 (2019, partial success), Chandrayaan-3 (2023, first ever soft landing on Moon's south pole), Aditya-L1 (2023, solar observatory at L1 point), Gaganyaan crewed mission in progress. NDA era is decisively stronger on both volume and milestone quality. ISRO |
D. Digital & Technology — Section Score (13 metrics)
11
NDA ↑
2
UPA ↑
0
Declined
0
Mixed
E. Public Health
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 49 | Life Expectancy at Birth (years) | 64.3 | 68.5 | ~72 (proj. 2025) Actual: 70.8 (2022) |
+4.2 yrs | +3.5 yrs | UPA Stronger | P1 added more life years. P2 rate slowed — COVID-19 caused a 1–2 year setback in 2020–21, but recovery has been steady. Projection to 2025 based on ~0.4 yr/yr post-COVID trend; P2 total still below P1's 4.2-yr gain. World Bank / SRS India |
| 50 | Infant Mortality Rate (per 1,000 live births) | 58 | 40 | ~21 (proj. 2025) Actual: 27 (2020) |
−18pp absolute | −19pp absolute | NDA Stronger | Latest actual: 27 (2020). Projecting ~21 by 2025 at the ~1.2/yr decline rate seen 2020–23. P2 absolute reduction (40→21 = 19pp) edges out P1's (58→40 = 18pp) — both eras show near-identical pace, but with projection NDA marginally stronger. World Bank / SRS Bulletin |
| 51 | Maternal Mortality Ratio (per 100k live births) | ~254 | 167 | ~70 (proj. 2025) Actual: 97 (2018–20) |
−87pp absolute | −97pp absolute | NDA Stronger | India hit SDG target of <100 ahead of schedule. Projecting ~70 by 2025 at ~9 pts/yr decline. P2 absolute reduction (167→70 = 97pp) exceeds P1's (254→167 = 87pp). Institutional deliveries: 47% (2006) → 89% (2021). WHO / MoHFW SRS |
| 52 | Under-5 Mortality Rate (per 1,000 live births) | 76 | 49 | ~26 (proj. 2025) Actual: 34 (2021) |
−27pp absolute | −23pp absolute | UPA Stronger | Projecting ~26 by 2025 at ~2.5/yr decline. P1 absolute reduction (76→49 = 27pp) still leads P2 (49→26 = 23pp). Both eras show consistent improvement; UPA had the steeper absolute decline. World Bank / UNICEF |
| 53 | Child Stunting Rate (% under 5, height-for-age) | 48.0% (2005-06) | 38.4% (2015-16) | ~32% (proj. 2025) Actual: 35.5% (NFHS-5, 2019-21) |
−9.6pp | −6.4pp | UPA Stronger | NFHS-6 expected 2024-25; projecting ~32% by 2025 at recent trend. P1 absolute reduction (9.6pp) still leads P2 (6.4pp projected). Massive welfare programs (PM Poshan, ICDS) are closing the gap. India still home to ~30% of world's stunted children. NFHS-4 (2015–16) & NFHS-5 (2019–21) |
| 54 | Child Wasting Rate (% under 5, weight-for-height) | 20.0% (2005-06) | 21.0% (2015-16) | ~17.5% (proj. 2025) Actual: 19.3% (NFHS-5, 2019-21) |
+1pp (worse) | −3.5pp | NDA Stronger | Critical nuance: wasting actually WORSENED under UPA (20→21%, +1pp). NDA reversed the trend — 21→19.3% actual (NFHS-5), projected ~17.5% by 2025. P2 absolute improvement: ~3.5pp vs P1's -1pp (worsening). Verdict is NDA Stronger on this important child nutrition metric. India still has world's highest wasting rate — work remains. NFHS-4 & NFHS-5 |
| 55 | Total Fertility Rate (TFR) | 2.9 | 2.3 | ~1.9 (proj. 2025) Actual: 2.0 (2020) |
−0.6 | −0.4 | UPA Stronger | India crossed replacement fertility (2.1) in 2020 and is now sub-replacement. Projecting ~1.9 by 2025. P1 still stronger (−0.6 vs −0.4). Significant state variation: South India <1.7, UP/Bihar ~3.0. SRS / World Bank |
| 56 | Immunization — DPT3 Coverage (%) | 55% | 72% | 91% (2022) | +17pp | +19pp | NDA Stronger | Mission Indradhanush (2014 onwards) targeted zero-dose children in hard-to-reach areas. Improvement in P2 is stronger from an already higher base. WHO / UNICEF |
| 57 | Govt Health Expenditure (% of GDP) | 0.9% | 1.1% | ~2.1% (2022) | +0.2pp | +1.0pp | NDA Stronger | National Health Policy 2017 target: 2.5% of GDP by 2025. Progress made but still well below global average (6%). Ayushman Bharat (2018) a significant coverage expansion. National Health Accounts / NHP |
| 58 | Ayushman Bharat — Beneficiaries Covered | 0 | 0 | ~560M | — | New scheme | NDA Stronger | Launched 2018. Provides ₹5 lakh/year health cover to bottom 40% families (~107M families). World's largest government-funded health insurance. Utilization still low in some states. PM-JAY National Health Authority |
| 59 | Malaria Cases (millions, annual) | 1.8M | 0.88M | ~0.34M (2022) | −51% | −61% | NDA Stronger | Consistent decline in both eras. P2 reduction stronger from higher base — a genuine achievement. NVBDCP / WHO World Malaria Report |
| 60 | Global Hunger Index (GHI) Rank | 96/119 (81st %ile) | 55/120 (46th %ile) | 111/125 (2023) (89th %ile) |
+35pp %ile improved | −43pp %ile worsened | Declined ↓ | Percentile-adjusted picture: UPA improved India from 81st to 46th percentile (dramatic). NDA worsened from 46th to 89th percentile (devastating). Even accounting for methodology disputes (India contests the child wasting weight), the percentile shift is large. India disputes GHI methodology. Global Hunger Index / India's official response (PIB) |
| 61 | TB Incidence (per 100,000 population) | ~217 | ~195 | ~196 (2022) | −10% | −0.5% (flat) | UPA Stronger | India pledged TB elimination by 2025 (5 yrs ahead of global target). COVID-19 reversed progress significantly — TB deaths rose in 2020–21. Target looks unlikely. WHO Global TB Report |
| 62 | Medical Colleges (MBBS) | ~250 | ~381 | ~706 (2023) | +52% | +85% | NDA Stronger | MBBS seats doubled from ~51,000 (2014) to ~1,09,000 (2024). Doctor density still low at ~1 per 1,000 population. NMC (National Medical Commission) |
| 63 | Out-of-Pocket Health Expenditure (% of total health spend) | ~71% | ~68% | ~47% (2022) | −3pp | −21pp | NDA Stronger | Verdict based on absolute pp reduction (lower is better — less financial burden on households): P2 reduced by 21pp vs P1's 3pp. Ayushman Bharat (2018), state Mediclaim schemes, CGHS expansion drove dramatic shift. India's OOP was one of the world's highest; still above WHO-recommended 15–20% but trajectory has sharply improved. National Health Accounts / WHO |
| 64 | Hospital Beds per 1,000 Population (total, govt + pvt) | ~0.4 | ~0.7 | ~1.3 (2023) | +0.3 | +0.6 | NDA Stronger | Verdict based on absolute beds/1,000 added: P2 +0.6 vs P1 +0.3. AIIMS expansion (6 new under UPA, 16 under NDA), PM-ABHIM hospitals, private hospital growth. Note: most of P2 growth is private sector; public beds per capita barely improved. India still well below WHO benchmark of 3/1,000. NHA / NHSRC |
E. Public Health — Section Score (16 metrics)
10
NDA ↑
5
UPA ↑
1
Declined
0
Mixed
F. Education
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 63 | Literacy Rate (%) | 65% (2001 Census) | 74% (2011 Census) | ~78% (est. 2021) | +9pp | ~+4pp | UPA Stronger | 2021 Census has not been conducted (delayed by COVID). P2 estimate based on ASER/PLFS trends. P1 made larger gains. 2011 Census: Census India |
| 64 | Secondary Gross Enrollment Ratio (%) | ~52% | ~65% | ~79% | +13pp | +14pp | Mixed | Both periods near-identical improvement. RTE Act (2009) drove P1 gains in primary; P2 gains came from secondary/higher secondary. UDISE+ / AISHE |
| 65 | Higher Education GER (%) | ~10% | ~23% | ~28% | +13pp | +5pp | UPA Stronger | P1 dramatically expanded higher education access. P2 growth slowed — approaching natural saturation; quality improvement remains elusive. AISHE Report |
| 66 | Number of IITs | 7 | 16 | 23 | +9 | +7 | Mixed | Both periods added IITs. Quality concerns about newer IITs in both eras — faculty shortages, research output. MoE |
| 67 | Number of Universities (total) | ~348 | ~723 | ~1,168 | +108% | +62% | UPA Stronger | P1 saw explosive university expansion. Quality remains highly variable — only ~20 Indian institutions in global top-500. NEP 2020 is P2's structural reform response. UGC |
| 68 | School Dropout Rate — Secondary (%) | ~55% | ~17% | ~12.6% (2022) | −38pp | −4.4pp | UPA Stronger | P1 saw massive dropout reduction (RTE Act, Sarva Shiksha Abhiyan). P2 improvement is from an already much lower base — remaining dropouts are the hardest to retain. UDISE+ |
| 69 | Education Spending (% of GDP) | ~3.2% | ~3.8% | ~2.9% | +0.6pp | −0.9pp | Declined ↓ | NEP 2020 targets 6% of GDP. India spends less on education as % of GDP in P2 despite a larger economy. Absolute spending has risen but not kept pace with GDP. World Bank / MoE |
| 70 | Learning Outcomes (ASER rural % reading Std 2 text by Std 5) | ~53% (2008) | ~48% (2014) | ~58% (2023) | −5pp (worse) | +10pp | NDA Stronger | Foundational literacy actually declined in P1 despite enrollment growth — the "schooling without learning" crisis. P2 recovery driven by NIPUN Bharat (2021) focus on foundational learning. ASER (Annual Status of Education Report) |
F. Education — Section Score (8 metrics)
1
NDA ↑
4
UPA ↑
1
Declined
2
Mixed
G. Poverty, Welfare & Agriculture
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 71 | Poverty Headcount ($2.15/day, 2017 PPP, %) | ~38% | ~21% | ~7% (proj. 2025) Actual: 12.9% (2021) |
−17pp | −14pp | UPA Stronger | Projecting ~7% by 2025 based on World Bank/IMF growth projections and welfare program impact. P1 still stronger in absolute terms (−17pp vs −14pp). But context matters: getting from 21% to 7% is harder than 38% to 21% — P2 achieved it from a structurally more difficult position. Both periods represent historic progress. World Bank PovcalNet |
| 72 | Multidimensional Poverty Index (MPI, % MPI poor) | 55.1% (2005-06) | ~33% (2015-16) | ~9% (proj. 2025) Actual: 14.96% (2019-21); NITI: 11.28% (2022-23) |
−22pp | −24pp | NDA Stronger | NITI Aayog published 11.28% for 2022-23 (latest). Projecting ~9% by 2025. P2 total reduction (33→9 = 24pp) now exceeds P1 (55.1→33 = 22pp). Driven by Ujjwala, Jal Jeevan, PM-AWAS, Swachh Bharat — multi-dimensional welfare programs that target the exact MPI components. Both periods represent historic gains. OPHI MPI / NITI Aayog MPI India |
| 73 | Open Defecation Free — Rural Sanitation Coverage (%) | ~22% | ~39% | ~70%+ (JMP 2022) | +17pp | +31pp | NDA Stronger | Govt claims 100% ODF (10+ crore toilets built). JMP/independent surveys: 70%+ using improved sanitation. Even at 70%, the improvement is dramatic. Swachh Bharat Mission / WHO-UNICEF JMP 2023 |
| 74 | Tap Water Access — Rural Households (%) | ~18% | ~32% | ~75.8% (Mar 2024) | +14pp | +44pp | NDA Stronger | Jal Jeevan Mission (Aug 2019): 14.6 crore rural households connected with tap water. Over 11 crore new connections in 5 years. Jal Jeevan Mission Dashboard |
| 75 | LPG Connections (millions, total India) | ~96M | ~148M | ~315M | +54% | +113% | NDA Stronger | Ujjwala Yojana gave free LPG connections to ~10.35 crore BPL women. Refill rates are a concern (~3.5 cylinders/year vs ~7 for others) — cost remains a barrier. PMUY / MoPNG |
| 76 | Jan Dhan Bank Accounts (millions) | 0 | ~15M (Aug 2014) | ~530M (2024) | Program started | +3,433% | NDA Stronger | Launched Aug 28, 2014. Largest financial inclusion drive in history. Average balance ~₹4,000. Enabled direct benefit transfer (DBT). PMJDY Portal / DFS |
| 77 | MGNREGA Person-Days Generated (crore/yr) | ~9 (FY06, partial) | 166 (FY14) | ~312 (FY24) | Scheme built | +88% | Declined ↓ | Higher MGNREGA demand signals rural distress, not success. P2 saw higher demand (peak FY21: 389 crore — COVID year). Real rural wages grew at <2% vs >5% in P1. The program expanded but the distress signal is concerning. MoRD MGNREGA Dashboard |
| 78 | Food Grain Production (million tonnes, annual) | ~208 | ~265 | ~332 (FY24) | +27% | +25% | Mixed | Both periods near-identical growth. India became a net food exporter. However, nutritional diversity (pulses, vegetables) is lagging cereal growth. DACFW / MoAFW |
| 79 | MSP for Paddy (₹/quintal) | ₹570 | ₹1,310 | ₹2,183 (FY24) | +130% | +67% | UPA Stronger | P1 saw larger MSP hikes. Inflation-adjusted (real) MSP growth was strong in P1; real growth in P2 has been modest after accounting for inflation. CACP (Commission for Agricultural Costs and Prices) |
| 80 | PM Awas Yojana — Houses Constructed (millions) | 0 (IAY precursor) | ~4M (IAY cumulative) | ~40M+ (PMAY-G+U) | Prior scheme | 10x scale | NDA Stronger | PMAY built more houses in absolute terms. Quality of construction and actual occupancy rates are the legitimate critique. PMAY-G Portal / PMAY-U MIS |
| 81 | Real Rural Wage Growth (avg annual, %) | — | — | — | ~5–6% real | <2% real | Declined ↓ | One of the most concerning economic signals of P2. Rural wages grew fast in P1 (MGNREGA floor effect, low base). Real wage growth collapsed post-2014. High MGNREGA demand corroborates. RBI KLEMS / Labour Bureau Agricultural Wages Report |
| 82 | Milk Production (million tonnes, annual) | 96.9 | 146.3 | 239.3 (FY24) | +51% | +64% | NDA Stronger | India is world's largest milk producer. Growth accelerated in P2; India supplies ~24% of global milk output. DAHD (Dept of Animal Husbandry) |
| 83 | DBT (Direct Benefit Transfer) — Annual (₹ lakh crore) | ~0 | ~0.7 (FY14) | ~7.4 (FY24) | Launched | +957% | NDA Stronger | DBT started under UPA (2013). NDA scaled massively — ₹34 lakh crore cumulative transferred 2014–2024. Leakage reduced significantly (Aadhaar+Jan Dhan+Mobile trinity). DBT Bharat Portal |
| 84 | Free Food Grain (PM Garib Kalyan Ann Yojana — beneficiaries) | 0 | 0 | 800M (2020–2024) | — | New scheme | NDA Stronger | Launched during COVID-19 (April 2020). 5 kg free grain/person/month to ~80 crore NFSA beneficiaries. Extended to Dec 2028. World's largest food security program. Fiscal cost: ~₹11.8 lakh crore over 5 years. DFPD / MoCA |
| 85 | Total Foodgrain Production (million tonnes, annual) | ~213 MT | ~265 MT | ~328 MT (FY24) | +52 MT | +63 MT | NDA Stronger | Verdict based on absolute MT added: P2 +63 MT vs P1 +52 MT. India is now the world's 2nd largest food producer. PM Fasal Bima Yojana (crop insurance), PM-KISAN (₹6,000/yr income support), e-NAM (national agri market) contributed. Note: growth rate (%) was similar — base effect roughly equal since both started at comparable scale. DACFW / Ministry of Agriculture |
| 86 | Wheat Yield (tonnes/hectare) | ~2.71 | ~3.18 | ~3.55 (FY24) | +0.47 t/ha | +0.37 t/ha | UPA Stronger | Verdict based on absolute yield gain per hectare: P1 +0.47 t/ha vs P2 +0.37 t/ha. UPA era saw strong Green Revolution extension, MSP incentives that pushed wheat zone. Note: base effect is small here (both eras started at comparable yield levels — 2.71 vs 3.18 t/ha are not drastically different ratios), so absolute is a fair comparison. India's wheat yield is still well below global best (China: ~5.6 t/ha; France: ~7+ t/ha). DACFW / FAOSTAT |
G. Poverty & Welfare — Section Score (16 metrics)
10
NDA ↑
3
UPA ↑
2
Declined
1
Mixed
H. Security & Defence
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 85 | Defence Budget (USD billion) | ~$20B | ~$38B | ~$75B | +90% | +97% | Mixed | Both periods near-doubled defence spending. India is world's 4th largest defence spender. SIPRI Military Expenditure Database |
| 86 | Defence Budget (% of GDP) | ~2.8% | ~2.4% | ~2.0% | −0.4pp | −0.4pp | Declined ↓ | Defence spending as % of GDP has declined continuously across both eras. Given border tensions (China 2020, Pakistan) many analysts flag underinvestment. NATO benchmark is 2%. SIPRI |
| 87 | Indigenous Defence Procurement (% of defence budget) | ~30% | ~40% | ~75% (target) | +10pp | +35pp | NDA Stronger | Make in India Defence — positive lists mandating domestic procurement. India's defence exports: $1.5B (FY24) vs ~$200M (2014). Tejas, INS Vikrant, ATAGS howitzer etc. MoD Annual Report |
| 88 | Terrorist Incidents — Annual (India total) | ~1,000+ | ~700 | ~200–300 | −30% | −57% | NDA Stronger | Significant decline in overall terrorist incidents. Reflects both NE peace accords and declining Naxal violence. J&K remains complex. SATP (South Asia Terrorism Portal) |
| 89 | Left Wing Extremism (Naxal) — Annual Deaths (total) | ~717 (2006) | ~422 (2014) | ~138 (2023) | −41% | −67% | NDA Stronger | LWE districts: 180 (2014) → ~45 (2024). Target: LWE-free India by 2026. Significant acceleration in P2. MHA Annual Report |
| 89a | Naxal (LWE) — Civilian Deaths Specifically (annual) | ~170 (2004) | ~190 (2014) | ~45 (2023) | +20 (worsened) | −145 | NDA Stronger | Key point: civilian deaths from Naxal violence actually INCREASED under UPA (170→190) as LWE violence peaked around 2009-2011. NDA dramatically reduced civilian toll from 190 to ~45 — a 76% drop. Combined with security force operations, shrinking LWE geography, and development of "aspirational districts," this is a genuine NDA achievement. SATP India Casualties Database / MHA Annual Report |
| 89b | Civilian Deaths from Terrorism — All India (excl. Naxal, annual) | ~2,200 (2003) | ~370 (2014) | ~85 (2024) | −1,830 absolute | −285 absolute | Mixed | UPA had the larger absolute reduction (driven by massive J&K de-escalation from its 2001–03 peak). NDA brought it to historically low levels — under 100 civilian deaths from terrorism in a country of 1.4B people, a genuine achievement. Verdict Mixed: both eras deserve credit, base effect is real here (UPA had far more room to fall). SATP India Terrorism Database |
| 90 | J&K Militant Incidents (annual) | ~1,990 (2005) | ~222 (2014) | ~220 (2023) | −89% | Flat | UPA Stronger | Massive P1 reduction (from peak 2001–05 levels). P2 saw Article 370 abrogation (2019) — incidents flat despite structural change. Civilian casualties have declined. SATP J&K Data |
| 91 | India Global Peace Index Rank | ~132/140 (2008) (94th %ile) | 143/162 (88th %ile) | 116/163 (2024) (71st %ile) |
+6pp %ile improved | +17pp %ile improved | NDA Stronger | Percentile-adjusted: UPA improved India from 94th to 88th %ile (+6pp). NDA improved from 88th to 71st %ile (+17pp) — a significantly stronger improvement. Raw rank change (143→116) understates the improvement since country count grew. GPI — Institute for Economics & Peace |
| 92 | India's Nuclear Warheads (estimated) | ~45–95 | ~90–110 | ~172 (2024) | Modest increase | Significant increase | NDA Stronger | India modernising nuclear triad (land, sea, air). INS Arihant operational (SSBN). No-first-use policy maintained. SIPRI World Nuclear Forces |
| 93 | UN Peacekeeping — Troops Deployed (annual avg) | ~4,500 | ~8,000 | ~5,800 (2024) | +3,500 | −2,200 | UPA Stronger | Verdict based on absolute troop change: P1 added 3,500 troops (+78%); P2 reduced by 2,200 (−28%). India is historically one of the world's largest UN peacekeeping contributors. The P2 reduction reflects a deliberate foreign policy shift — India is pursuing bilateral/strategic relationships over multilateral UN commitments. Not necessarily bad policy, but the metric shows UPA had greater multilateral engagement by this measure. UN Peacekeeping Data |
H. Security & Defence — Section Score (11 metrics)
6
NDA ↑
2
UPA ↑
1
Declined
2
Mixed
I. Governance & Institutions
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 93 | Corruption Perception Index (CPI) Score (0–100) | 29/100 Rank 83/133 (62nd %ile) | 38/100 Rank 85/175 (49th %ile) | 39/100 (2023) Rank 93/180 (52nd %ile) |
+9 score pts; %ile 62→49 (improved) | +1 score pt; %ile 49→52 (slightly worse) | UPA Stronger | Score is the right metric (more countries joined over time inflating ranks). UPA improved score dramatically (29→38, +9pts) while also improving percentile rank. NDA only managed +1pt in 11 years — other countries reformed faster. Percentile confirms UPA Stronger. Transparency International CPI |
| 94 | Press Freedom Index Rank (RSF) | ~105/168 (2006) (62nd %ile) | 140/180 (78th %ile) | 159/180 (2024) (88th %ile) |
%ile: 62→78 (−16pp) | %ile: 78→88 (−10pp) | Declined ↓ | Percentile-adjusted: UPA worsened India from 62nd to 78th %ile (−16pp). NDA continued worsening to 88th %ile (−10pp). UPA actually declined faster in relative terms — press freedom deterioration began before Modi. Both eras show decline; neither has a clean record. Journalist arrests, UAPA usage, media ownership concentration are structural issues. RSF World Press Freedom Index |
| 95 | Democracy Index — EIU Score (0–10) | 7.68 (2008, "Flawed Democracy") | 7.92 (2014) | 7.22 (2023, "Hybrid Regime") | +0.24 | −0.70 | Declined ↓ | India downgraded from "Flawed Democracy" to "Hybrid Regime" in 2021. EIU cites civil liberties, press freedom, functioning of government. India disputes the classification. V-Dem (Sweden) also shows democratic backsliding. EIU Democracy Index |
| 96 | Ease of Doing Business Rank (World Bank) | ~116/175 (2006) (66th %ile) | 142/189 (75th %ile) | 63/190 (2020)* (33rd %ile) |
%ile: 66→75 (−9pp, worsened) | %ile: 75→33 (+42pp, dramatic jump) | NDA Stronger | Critical nuance from percentile view: the raw rank fall under UPA (116→142) was partly because more countries joined the index — India's percentile barely worsened (66th→75th). Under NDA, India went from 75th to 33rd percentile — a 42pp improvement, and among the largest single-era jumps globally. *WB discontinued EoDB in 2021 citing data irregularities (India implicated in 2018–20 rounds). Last rank: 63/2020. Improvement was real but some of the jump was reportedly overstated. World Bank EoDB |
| 97 | Income Tax Returns Filed (millions) | ~30M | ~40M | ~90M (FY24) | +33% | +125% | NDA Stronger | GST + Aadhaar + UPI trails expanding the formal economy. Tax net widened significantly. CBDT Annual Report |
| 98 | UN E-Government Development Index Rank | ~113/191 (2005) (59th %ile) | 118/193 (61st %ile) | 105/193 (2022) (54th %ile) |
%ile: 59→61 (−2pp, flat) | %ile: 61→54 (+7pp) | NDA Stronger | UPA left e-governance percentile essentially flat (59th→61st). NDA improved 61st→54th %ile driven by Digital India, CoWIN, DigiLocker, UMANG, ONDC. Still below India's income-level peers — structural gap vs digital ambitions. UN E-Government Survey |
| 99 | Supreme Court Pending Cases (millions) | ~3.5M | ~5.2M | ~5.0M (2024) | +49% | −4% | Mixed | District court pendency: ~46M cases (2024). Judicial delay is structural — both governments have failed to appoint enough judges. P2 marginally better on High Court vacancies. National Judicial Data Grid |
| 100 | RTI Applications Filed (millions, cumulative) | 0 (RTI Act: 2005) | ~17M cumulative | ~35M cumulative | Framework built | +106% | Declined ↓ | RTI usage grew but 2019 RTI Amendment weakened CIC independence. Backlog of RTI appeals at CICs has grown. Transparency activists flag structural weakening of the act. CIC (Central Information Commission) |
| 100a | Henley Passport Index — Visa-Free Countries (India passport) | ~52 countries (2006) Rank ~75/199 | ~52 countries (2014) Rank ~76/199 | ~58 countries (2025) Rank ~82/199 |
Flat (+0) | +6 countries | Mixed | India's visa-free access increased by 6 countries under NDA (vs flat under UPA). However, the absolute rank worsened (76→82) as other countries — especially ASEAN and Gulf — expanded their passport power faster. India remains significantly behind peers like China (rank ~60, ~85 countries) despite larger GDP. Diplomatic visa reciprocity agreements haven't kept pace with India's economic clout. Verdict Mixed: slight improvement in access, relative position unchanged. Henley Passport Index |
| 100b | Remittances Received (USD billion, annual) | ~$16B (2003) | ~$70B (2014) | ~$125B (2024) | +$54B absolute | +$55B absolute | Mixed | India is the world's top remittance recipient (#1 globally since 2022). Both eras saw near-identical absolute dollar increases (~$54B and ~$55B). As % of GDP: 2.8% (2003) → 3.4% (2014) → 3.4% (2024) — flat under NDA. Remittances reflect Indian diaspora performance, not directly domestic policy. Verdict Mixed. World Bank Remittances Data |
| 100c | High Court Judicial Vacancy (% of sanctioned posts vacant) | ~30% (2004) | ~26% (2014) | ~28% (2024) | −4pp (improved) | +2pp (worsened) | UPA Stronger | Verdict based on absolute pp change: UPA reduced vacancies by 4pp; NDA allowed them to drift back up by 2pp. India has ~5,400 sanctioned High Court judge posts; only ~3,900 filled (2024). Judicial delay is endemic — 4.5 crore pending cases at all levels. Both governments failed to address structural judicial under-staffing. NJDG / Dept of Justice |
| 100d | Prison Overcrowding Rate (% of sanctioned capacity) | ~110% | ~117% | ~131% (2022) | +7pp (worsened) | +14pp (worsened more) | UPA Stronger | Verdict based on absolute pp deterioration: P1 worsened overcrowding by 7pp; P2 by 14pp. India's prisons hold ~5.5 lakh people against a capacity of ~4.2 lakh (2022). ~75% are undertrials — incarcerated without conviction. This is a structural failure of the justice system; verdict reflects which era worsened it more in absolute terms. NCRB Prison Statistics India |
| 100e | Index of Economic Freedom — Score (Heritage Foundation, 0–100) | ~53.8 (2006) | ~56.0 (2014) | ~57.2 (2024) | +2.2 pts | +1.2 pts | UPA Stronger | Verdict based on absolute score improvement: P1 +2.2 pts vs P2 +1.2 pts. Score is the right metric (country count has grown, making raw rank comparison unreliable). India remains in "Mostly Unfree" category (<60); both eras improved marginally. UPA's score jump was driven by deregulation, SEZs, and openness reforms. NDA's GST was transformative but partially offset by industrial licensing complexity and FDI restrictions in some sectors. Heritage Foundation Index of Economic Freedom |
| 100f | Free Trade / CEPA Agreements Signed | 2 (2003–04) | 8+ comprehensive agreements | 3 new CEPAs (2022–24) | +6 agreements | +3 agreements (but RCEP rejected) | UPA Stronger | Verdict based on count: UPA signed ASEAN FTA (2009), South Korea CEPA (2010), Japan CEPA (2011), Malaysia CECA (2011), Sri Lanka, Singapore, Nepal, Bhutan — 6+ comprehensive multilateral/bilateral deals. NDA signed UAE CEPA (2022), Australia ECTA (2022), Mauritius CECPA (2021) but rejected RCEP (2019) — India's largest ever potential trade deal — citing domestic industry concerns. UK FTA ongoing since 2022. UPA Stronger on count; NDA's RCEP rejection may prove strategically correct given China-linked risks. Ministry of Commerce FTA List |
| 100g | Major International Summits Hosted / Diplomatic Firsts | CWG 2010; multiple bilateral summits | CWG 2010, BRICS, East Asia Summits | G20 Presidency 2023; Quad; SCO; Voice of Global South | Significant hosting | G20 — highest multilateral profile | Mixed | Verdict Mixed — both eras hosted major events and built diplomatic relationships. UPA: Commonwealth Games 2010, multiple bilateral + BRICS foundations. NDA: G20 Presidency 2023 (achieved joint communiqué incl. on Russia-Ukraine — diplomatic win), Quad leadership, Voice of Global South Summit (100+ nations), SCO chairmanship 2023. NDA has arguably elevated India's global diplomatic profile more, but UPA expanded regional relationships deeper. Ministry of External Affairs |
I. Governance & Institutions — Section Score (17 metrics)
3
NDA ↑
5
UPA ↑
3
Declined
6
Mixed
J. Environment
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 101 | Forest Cover (million hectares) | 67.7 | 70.2 (2015 SFR) | ~72.6 (proj. 2025) Actual: 71.6 (SFR 2023) |
+2.5M ha | +2.4M ha | Mixed | SFR 2023 recorded 71.6M ha. Projecting ~72.6 by 2025. P2 (70.2→72.6 = +2.4M ha) and P1 (67.7→70.2 = +2.5M ha) are essentially identical — verdict Mixed. Note: "forest cover" includes plantations; natural forest loss continues in biodiversity-rich areas. FSI State of Forest Report |
| 102 | CO₂ Emissions per Capita (tonnes/person) | 1.2 | 1.7 | ~1.9 (2022) | +42% (worse) | +12% | NDA Stronger | Still very low vs global average (4.7t). Emissions per capita are growing — renewable push has slowed the rate of increase in P2. Our World in Data / IEA |
| 103 | Air Quality — PM2.5 (Delhi annual mean, μg/m³) | ~140 | ~160 | ~155 (2023) | +14% (worse) | −3% (slight) | Declined ↓ | Stubbornly dangerous — WHO limit is 5 μg/m³. NCAP (National Clean Air Programme 2019) targets 40% reduction by 2026 from 2017 baseline. Overall India ranks among world's most polluted countries. CPCB / IQAir World Air Quality Report |
| 104 | India NDC Commitment — Renewable % of capacity by 2030 | — | ~2015: pledged 40% | 40% achieved by 2023 (ahead of schedule) | — | Target met early | NDA Stronger | India met its Paris Agreement NDC target (40% non-fossil power capacity) 9 years early. New target: 50% by 2030. UNFCCC India NDC 2022 |
| 105 | Wetlands Notified under Ramsar (count) | 19 (2005) | 26 (2014) | 80 (2024) | +7 | +54 | NDA Stronger | India has world's 4th most Ramsar sites. Ramsar Convention |
J. Environment — Section Score (5 metrics)
3
NDA ↑
0
UPA ↑
1
Declined
1
Mixed
K. Society — Top and Bottom
This section looks at how India's richest and poorest have fared. Growth is necessary but not sufficient — who captured that growth matters.
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| 106 | India Billionaires — Count (Forbes) | 13 | 56 | ~200 (2024) | +331% | +257% | Mixed | Both periods saw billionaire class expand dramatically. Top 5 Indians own more than bottom 50% combined. Forbes India Rich List |
| 107 | Top 10% Income Share (% of national income) | ~52% | ~55% | ~60% (2022) | +3pp (more unequal) | +5pp (more unequal) | Declined ↓ | Both eras saw rising inequality. India's top 10% captured a growing share of income in both decades. World Inequality Database |
| 108 | Bottom 50% Income Share (% of national income) | ~16% | ~15% | ~13% (2022) | −1pp | −2pp | Declined ↓ | Bottom half of India's population earns a declining share of national income across both eras. Absolute incomes rose, but relative share fell. World Inequality Database (WID) |
| 109 | Gini Coefficient — Income vs Wealth (0=equal, 1=max) | Income ~0.37 Wealth ~0.74 | Income ~0.38 Wealth ~0.77 | Income ~0.35 (WB) Wealth ~0.83 (2024) |
Slight rise income | Sharp rise wealth | Mixed | Two very different pictures depending on which Gini you use. Income Gini (World Bank): India is among the world's 4th most equal countries by income distribution (~0.35), and has marginally improved under NDA — driven by DBT, rural welfare schemes, and MGNREGA continuity. Wealth Gini (~0.83) tells the opposite story: top 1% own 40% of wealth. However, the wealth inequality surge is a global phenomenon — driven by asset price inflation (stocks, real estate) post-2014 which lifted rich households everywhere. India's wealth Gini rise mirrors USA, UK, and China. Income equality is the fairer governance measure; wealth inequality is partly structural. WID / World Bank Gini |
| 110 | Unemployment Rate — CMIE (%, annual avg) | ~7% (2004-05 NSSO) | ~4.9% (PLFS 2014) | ~8% (CMIE 2023) | Declined | Rose | Declined ↓ | Highly contested data. PLFS (govt survey) shows 3.2% (2022-23). CMIE shows 7-9%. Demonetisation (2016), GST transition, and COVID contributed to job losses. Urban youth unemployment particularly elevated. CMIE / PLFS (MoSPI) |
| 111 | Female Labour Force Participation Rate (%) | ~26% | ~23% (2013-14) | ~37% (PLFS 2023) | −3pp (worse) | +14pp | NDA Stronger | Dramatic reversal — fLFPR had been falling since 2005. Post-2019 rise partly driven by rural female self-employment (farming, MGNREGA). Urban FLFPR still very low (~22%). ILO: ILO ILOSTAT |
| 112 | Women in Parliament — Lok Sabha (%) | 8.3% (2004) | 11.4% (2014) | 13.6% (2024) | +3.1pp | +2.2pp | Mixed | Women's Reservation Bill passed 2023 (33% seats reserved) — implementation awaits delimitation post-2026 Census. Both eras made incremental progress. Global avg: 26.5%. Lok Sabha Secretariat / IPU Parline |
| 113 | Crimes Against Women — Registered (thousands, annual) | ~143k | ~338k | ~445k (2022) | +136% | +32% | Mixed | The sharp P1 increase is partly better reporting (post-Nirbhaya, 2012). P2 increase is more gradual. Difficult to separate actual incidence from reporting rates. Both need improvement. NCRB Crime in India Report |
| 114 | Women in Parliament — Lok Sabha (% of seats) | 8.3% (2004) | 11.8% (2014) | 13.6% (2024) | +3.5pp | +1.8pp | UPA Stronger | Verdict based on absolute pp gained: P1 +3.5pp vs P2 +1.8pp. UPA increased representation faster. Note: NDA passed the Women's Reservation Bill (2023) guaranteeing 33% seats — but effective only after the next Census + delimitation (~2029+). Policy intent under NDA is stronger; realized outcome during P2 was slower. India at 13.6% is far below global average of ~26%. IPU Women in Parliament |
| 115 | Child Marriage Rate (% girls married before age 18) | ~47% (2005-06) | ~27% (2015-16) | ~23% (proj. 2025) Actual: 23.3% (NFHS-5, 2019-21) |
−20pp | −4pp (proj.) | UPA Stronger | Verdict based on absolute pp reduction: P1 reduced child marriage by 20pp — one of the largest declines globally in a decade, driven by MGNREGA (girls in school longer), mid-day meals, and conditional cash transfers. P2 reduced by ~4pp (projected to 2025). Rate has plateaued — further reduction needs structural change in BIMARU states. NFHS-4 & NFHS-5 |
| 116 | LGBTQ+ Rights — Section 377 Legal Status | Criminalized (IPC 377) | HC decriminalized 2009 → SC re-criminalized 2013 (UPA era, SC's call) | SC permanently decriminalized 2018; marriage equality denied 2023 | Net backward (SC re-criminalized end of P1) | Permanent decriminalization achieved | Mixed | Verdict Mixed — both eras had progress and setbacks. UPA: Delhi HC read down 377 (2009, positive), but SC reversed it in 2013 (setback — SC decision, not government, but UPA didn't aggressively challenge). NDA: SC permanently decriminalized Section 377 in 2018 (Navtej Johar). But NDA govt opposed marriage equality in court (2023 SC judgment). Net outcome: decriminalization happened under NDA (factually better final position in P2), but full equality blocked. Supreme Court of India |
| 117 | Olympic Medals — Summer Olympics (total per era) | — | 10 medals Athens 2004: 1, Beijing 2008: 3, London 2012: 6 | 15 medals Rio 2016: 2, Tokyo 2020: 7, Paris 2024: 6 |
+10 medals in era | +15 medals in era | NDA Stronger | Verdict based on total medals won during each era: NDA era covered 3 Olympics and produced 15 medals (incl. Tokyo 2020 — India's best-ever, 7 medals, first-ever athletics gold: Neeraj Chopra javelin). UPA era: 10 medals across 3 Olympics. Khelo India (2018), TOP Scheme (Targets Olympic Podium), National Sports Education Board contributed. Medal trajectory is strongly upward. IOC / Indian Olympic Association |
| 118 | International Tourist Arrivals (millions, annual) | ~2.7M (2003) | ~7.7M (2014) | ~9.2M (2024) Pre-COVID peak: 10.9M (2019) |
+5.0M absolute | +1.5M raw +3.2M to 2019 pre-COVID |
Mixed | Verdict Mixed: P1 added 5.0M in absolute terms — clearly stronger on raw numbers. P2 was decimated by COVID (2020-22: near-zero arrivals), making direct comparison unfair — same logic as not penalizing UPA for GFC. Pre-COVID trajectory (2014→2019: +3.2M in 5 years) shows comparable annual growth. NDA: e-Visa expansion (2014-16 simplified dramatically), Incredible India 2.0, medical tourism growth. COVID asymmetry makes this Mixed. Ministry of Tourism / UNWTO |
| 119 | Electricity Access — Household Coverage (%) | ~60% (2004-05) | ~88.5% (2014) | ~97.8% (2024) SAUBHAGYA: 99.9% connections by 2019 |
+28.5pp | +9.3pp | Mixed | Verdict Mixed: P1 added 28.5pp — larger absolute gain. P2 added 9.3pp but achieved near-universal coverage (last-mile is hardest). NDA's Saubhagya scheme electrified 26 million previously unconnected households (2017–19) — a genuine achievement. Saturation effect applies: each additional pp at 97%+ is harder to add than at 60%. Both eras deserve credit; UPA for the scale, NDA for the last mile. GARV Dashboard / NFHS-4/5 |
| 120 | LPG / Clean Cooking Fuel — Household Coverage (%) | ~22% (2004-05) | ~44% (2014) | ~75% (2024) NFHS-5: 58.6% primary fuel; incl. LPG subsidised |
+22pp | +31pp | NDA Stronger | Verdict based on absolute pp added: P2 +31pp vs P1 +22pp. NDA's Pradhan Mantri Ujjwala Yojana (PMUY, 2016) released 10 crore free LPG connections to BPL women — the largest clean cooking fuel programme ever. P2 started from a higher base (44%) and still added more pp. Indoor air pollution from biomass cooking is one of India's leading preventable health risks — this is a genuine bottom-of-pyramid impact. PMUY Dashboard / NFHS-4/5 |
| 121 | Mobile Phone Ownership — Households with phone (%) | ~18% (2004-05) | ~84% (2014) | ~97% (2024) NFHS-5: 95.9% |
+66pp | +13pp | Mixed | Verdict Mixed: P1 saw the mobile revolution — +66pp in a decade, driven by telecom liberalisation and falling handset prices. P2 added 13pp but achieved near-saturation. The biggest P2 disruption was Jio (2016): data prices fell 95%, enabling the internet age for 500M+ Indians — but Jio is a private sector outcome, not government policy. Government contribution: Digital India infrastructure, BharatNet broadband to gram panchayats, Jan Dhan-Aadhaar-Mobile (JAM) stack enabling DBT. Both eras benefited from private sector dynamism. NFHS-4/5 / TRAI |
| 122 | Bank Account Ownership — Households with account (%) | ~35% (2004-05) | ~68% (2014) | ~97% (2024) PMJDY: 51+ crore accounts opened by 2024 |
+33pp | +29pp | Mixed | Verdict Mixed: P1 +33pp vs P2 +29pp — essentially equal. NDA's Jan Dhan Yojana (2014) opened 51 crore zero-balance bank accounts in a decade — largest financial inclusion programme globally per Guinness World Records. UPA's Basic Savings Bank Deposit accounts (2011) laid the foundation. P2 additionally linked accounts to Aadhaar for DBT, eliminating ₹2.2 lakh crore in leakage (DBTL). Both eras drove financial inclusion, at comparable absolute speed. PMJDY Dashboard / NFHS-4/5 |
| 123 | Refrigerator Ownership — Households with fridge (%) | ~15% (2004-05) | ~34% (2014) | ~50% (proj. 2025) Actual: ~45% (NFHS-5, 2019-21) |
+19pp | +16pp (proj.) | Mixed | Verdict Mixed: P1 +19pp vs P2 +16pp (projected to 2025) — comparable. Both eras saw steady rise in consumer durables ownership. Fridge ownership is a strong proxy for middle-class emergence and cold chain expansion. Driven by falling appliance prices (China manufacturing cost pass-through), rural electrification enabling usage, and rising disposable incomes in both periods. NFHS-4/5 / HCES 2022-23 (MoSPI) |
| 124 | Television Ownership — Households with TV (%) | ~47% (2004-05) | ~66% (2014) | ~75% (proj. 2025) Actual: ~67% (NFHS-5, 2019-21) |
+19pp | +9pp (proj.) | Mixed | Verdict Mixed: P1 was stronger on absolute pp (+19pp vs +9pp). The TV era effectively reached saturation — with OTT and mobile screens replacing the TV set as the primary media consumption device, especially in urban areas. P2's lower TV penetration gain partly reflects mobile phone substitution (many rural households skipped TV for smartphone screens). Saturation effect and technology substitution make raw PP comparison less meaningful here. NFHS-4/5 |
| 125 | Two-Wheeler Ownership — Households with motorcycle/scooter (%) | ~30% (2004-05) | ~53% (2014) | ~65% (proj. 2025) Actual: ~62% (NFHS-5, 2019-21) |
+23pp | +12pp (proj.) | Mixed | Verdict Mixed: P1 +23pp vs P2 +12pp. P1's larger gain reflects India's motorcycle revolution — urbanization, falling credit costs (NBFC expansion), and strong domestic manufacturing. P2 gain is lower partly due to base effect (53% is a harder base than 30%), and urban youth increasingly adopting ride-sharing (Ola/Uber) as a substitute. Both eras saw continued expansion of mobility access for lower-middle-income households. Bottom-line: poor households can today afford a motorbike in both periods; NDA sustained the trajectory. NFHS-4/5 / SIAM |
K. Society (Top & Bottom) — Section Score (20 metrics)
3
NDA ↑
2
UPA ↑
3
Declined
12
Mixed
L. Manufacturing & Industry
India's aspiration to become a global manufacturing hub has been a recurring policy priority. This section tracks what actually moved — in share of GDP, in absolute output, in defence exports, and in foreign investment attracted.
| # | Metric | 2003 | 2014 | 2025/Latest | P1 Change (2003–14) | P2 Change (2014–25) | Verdict | Notes & Source |
|---|---|---|---|---|---|---|---|---|
| L1 | Manufacturing as % of GDP | ~16.7% (2003) | ~14.9% (2014) | ~13.4% (2024) | −1.8pp | −1.5pp | UPA Stronger | Verdict based on absolute pp change: Both eras saw manufacturing's share of GDP decline — India's persistent structural challenge. P1 declined less (−1.8pp) than P2 (−1.5pp when rounding — essentially tied, but UPA slight edge). NDA's Make in India (2014) targeted 25% of GDP by 2022 — still far from that goal. Services sector growth and tech exports continue to outpace manufacturing. The PLI scheme (P2) is showing early results in mobile phones and semiconductors — but the structural share data hasn't moved. World Bank MVA / MoSPI |
| L2 | Manufacturing Value Added — Absolute (₹ Lakh Crore, constant prices) | ~₹6 L Cr (2003) | ~₹14 L Cr (2014) | ~₹28 L Cr (2024) | +₹8 L Cr | +₹14 L Cr | NDA Stronger | Verdict based on absolute INR added in manufacturing output (constant prices). P2 added ₹14 lakh crore in real manufacturing value — nearly double P1's addition of ₹8 lakh crore. This is the correct comparison: absolute rupee-value of output added to the economy. The share declining doesn't negate that real manufacturing output doubled. PLI for mobile phones (Apple, Samsung now assembled in India), defence manufacturing, chemical plants, and pharma API production all contributed. MoSPI National Accounts |
| L3 | Defence Exports (₹ Crore, annual) | ~₹400 Cr (2004-05) | ~₹686 Cr (2013-14) | ~₹21,083 Cr (2024-25) | +₹286 Cr | +₹20,397 Cr (+28x) | NDA Stronger | Verdict based on absolute growth in defence exports: NDA era represents a 28x increase — from ₹686 crore (FY14) to ₹21,083 crore (FY25). India now exports to 85+ countries including USA (EW kits), France (Pinaka rockets), Philippines (BrahMos cruise missiles). NDA set targets: ₹35,000 crore by FY25 (partially achieved). Key policy drivers: DPP reforms, FDI in defence to 74%, iDEX (innovation ecosystem), and mandatory 68 items reserved for domestic production. P1's exports were negligible. Ministry of Defence / DDP Annual Report |
| L4 | PLI Scheme — Production Output (₹ Lakh Crore, cumulative) | — | — (scheme didn't exist) | ~₹12 L Cr production (2024) across 14 PLI sectors |
N/A (P1 had no PLI) | ₹12 L Cr (NDA launch) | NDA Stronger | Production Linked Incentive (PLI) scheme launched 2020-21 across 14 sectors — ₹1.97 lakh crore in total incentives allocated. Output: mobile phones (Apple exports ₹1.2L cr), textiles, pharma API, solar panels, white goods, specialty steel. PLI generated 8+ lakh jobs by 2024. India's mobile phone export went from ₹1,556 crore (FY18) to ₹1.28 lakh crore (FY24) — a structural shift. P1 had no equivalent demand-side production incentive scheme. This is a P2-only achievement. DPIIT / PIB |
| L5 | FDI Equity Inflows — Cumulative (USD Billion, per era) | ~$12B (2003-04) | ~$34B annual (2013-14) | ~$45B annual (2024) NDA era cumulative: ~$581B |
UPA era cumulative: ~$250B | NDA era cumulative: ~$581B | NDA Stronger | Verdict based on cumulative FDI equity inflows per era: NDA era attracted ~$581 billion vs UPA era ~$250 billion. NDA's annual FDI ranged $44-84 billion (FY15-FY22), peaking at $84B in FY21-22 (COVID-recovery surge + PLI announcements). UPA peak: $47B (FY08-09). Note: some of the NDA-era surge is global capital chasing emerging markets + Mauritius/Singapore route cleanup (higher transparency). Absolute inflows decisively higher under NDA. DPIIT FDI Statistics / RBI Annual Report |
L. Manufacturing & Industry — Section Score (5 metrics)
4
NDA ↑
1
UPA ↑
0
Declined
0
Mixed
M. Global Context — India vs G7 Baseline
Before declaring a winner between two Indian governments, the honest question is: how did the world do in the same period? Both eras faced global shocks — the 2008 Financial Crisis hit P1, COVID-19 hit P2. To compare fairly, you need to benchmark against what was happening globally, not just domestically.
Key insight: COVID-19 (2020) caused an average -6.4% GDP contraction across G7 economies. India's -6.6% was in line with the global shock — it was not a policy failure unique to India. Any comparison that treats 2020 as a P2 governance failure is misleading. Both the GFC (2008-09) and COVID (2020) were exogenous shocks. The right comparison is outperformance vs peers, not absolute growth rate.
GDP Growth Rate Comparison — India vs G7 (avg annual real %)
| Economy | P1: 2005–14 Avg Growth (%) | Global Shock in P1 (2009, GFC) | P2: 2014–24 Avg Growth (%) | Global Shock in P2 (2020, COVID) | India Outperformance vs this economy (P1) | India Outperformance vs this economy (P2) | Notes & Source |
|---|---|---|---|---|---|---|---|
| 🇺🇸 USA | 1.9% | −2.5% | 2.3% | −3.4% | +6.0pp | +3.5pp (+4.9pp ex-COVID) | World Bank |
| 🇬🇧 UK | 1.1% | −4.2% | 0.9% | −11.0% | +6.8pp | +4.9pp (+6.3pp ex-COVID) | World Bank |
| 🇩🇪 Germany | 1.4% | −5.6% | 0.6% | −4.6% | +6.5pp | +5.2pp (+6.6pp ex-COVID) | World Bank |
| 🇫🇷 France | 0.9% | −2.9% | 0.8% | −8.0% | +7.0pp | +5.0pp (+6.4pp ex-COVID) | World Bank |
| 🇯🇵 Japan | 0.4% | −5.4% | 0.3% | −4.3% | +7.5pp | +5.5pp (+6.9pp ex-COVID) | World Bank |
| 🇨🇦 Canada | 1.9% | −2.9% | 1.8% | −5.3% | +6.0pp | +4.0pp (+5.4pp ex-COVID) | World Bank |
| 🇮🇹 Italy | −0.3% | −5.5% | 0.5% | −9.0% | +8.2pp | +5.3pp (+6.7pp ex-COVID) | World Bank |
| G7 Average | ~1.1% | ~−4.1% | ~1.0% | ~−6.4% | — | — | Simple average across 7 economies |
| 🇮🇳 India (UPA → NDA) | 7.9% | +6.7% (2009 — resilient) | 5.8% (7.2% ex-COVID) | −6.6% (in line with G7 avg) | +6.8pp vs G7 avg | +4.8pp vs G7 avg (+6.2pp ex-COVID) | World Bank / IMF WEO |
What this table tells us
Both eras massively outperformed the developed world. India's P1 outperformed G7 average by +6.8pp per year; P2 outperformed by +4.8pp (or +6.2pp excluding the COVID year that hit every major economy at roughly the same magnitude). Neither era was riding global tailwinds — G7 economies were largely stagnant in both periods.
The COVID comparison is crucial. India contracted -6.6% in 2020. The G7 average was -6.4%. The UK fell -11%, France -8%, Italy -9%. India's COVID response, measured purely by economic contraction, was comparable to the global peer group — not a unique underperformance. Penalising P2 for COVID without the same lens on P1 for the 2008 GFC is asymmetric analysis.
On growth rate, P1 was stronger by ~2pp per year even after adjusting for global context. This is a real difference. P1 had the tailwind of the post-2003 global commodity and emerging market boom, plus India starting from a genuinely low base where even moderate reforms produce outsized growth. P2 had to grow faster in absolute terms (larger economy) with fewer structural tailwinds.
Summary Scorecard
Across 140 data points (equal 11-year windows, 2003–14 UPA vs 2014–25 NDA). Verdicts based on absolute improvement. Rankings use percentile-adjusted view (not raw rank). Projections used where actual data is pre-2023 (clearly marked):
79
NDA Stronger
(NDA era led)
(NDA era led)
25
UPA Stronger
(UPA era led)
(UPA era led)
12
Declined ↓
(worsened under NDA)
(worsened under NDA)
24
Mixed / No Change
(roughly equal)
(roughly equal)
What the Data Says
Where NDA was clearly stronger: Infrastructure acceleration (road km/day, solar energy, airports, metro cities), digital public goods (UPI, Jan Dhan, Aadhaar utilization), welfare coverage (Ujjwala, Swachh Bharat, Jal Jeevan, Ayushman Bharat), formalization (tax filers, DBT), LWE decline, defence indigenization, inflation control, and road safety per vehicle. These are genuine and measurable improvements.
Where UPA was stronger: Average GDP growth rate (higher), poverty reduction speed (steeper absolute decline), mobile subscriber growth (the mobile revolution decade), FDI growth rate, university expansion, child stunting reduction, and wind energy. The UPA era also launched the foundational infrastructure for digital India — Aadhaar, MGNREGA, RTI, NREGA — that the NDA era leveraged.
Where things genuinely declined under NDA: Press freedom (rank fell from 140 to 159), democracy index (downgraded to hybrid regime), real rural wages (stagnated), Global Hunger Index rank (111 vs 55), fiscal deficit (wider), child wasting (barely improved), and RTI institutional strength. On income inequality: India's income Gini (World Bank) has actually marginally improved and India ranks among the world's most equal by income — but wealth inequality rose sharply, driven largely by global asset price inflation rather than policy alone. These are real tensions that deserve honest accounting.
The honest verdict across 140 data points: NDA won on infrastructure, transport, digital public goods, health outcomes, innovation, security, space, manufacturing output, defence exports, and bottom-of-pyramid living standards (LPG, electricity, bank accounts) — 79 data points. UPA won on raw GDP growth rate, corruption score improvement, FTA count, governance quality metrics, early poverty reduction, child nutrition reduction, women's representation pace, and manufacturing share of GDP — 25 data points. 12 metrics genuinely declined under NDA. 24 were roughly equal. NDA built on the institutional and infrastructure base that UPA constructed; both eras are chapters in the same India story.
The base effect caveat is real but cuts both ways. Critics of the 2005–14 era correctly note that India grew fast partly from a low base. But critics of the 2014–24 era make the same mistake in reverse — crediting policy when improved global conditions, cheap smartphones (a private sector led disruption: Jio), and UPA-era foundations (Aadhaar, MGNREGA, NITI) did much of the heavy lifting.
No single metric captures what it feels like to live in India. These 140 data points are a starting point, not a verdict.
Data notes: All data points are sourced from publicly available government and international databases. Where government data and independent sources differ significantly, both are cited. For metrics not available at exactly 2005/2014/2024, the closest available year is used. Growth rates are approximate and rounded. This analysis is independent — no data point has been selectively included to favor either political position. Errors or updates: contact me.