A comprehensive assessment of fiscal health across 28 Indian states, evaluating revenue discipline, debt sustainability, and structural fiscal risk - with strategic investment guidance derived from four decades of observing India's economic transformation, including assessment of 16th Finance Commission awards and post-GST state fiscal consolidation trends.
Executive Summary
This report evaluates 28 Indian states across four critical fiscal indicators: Revenue Deficit (RD), Fiscal Deficit (FD), Debt-to-GSDP ratio, and Interest Payments as a share of Revenue Receipts. These four metrics, read together, provide a more accurate picture of fiscal health than deficit numbers alone.
The conclusions are unambiguous: fiscal deficit alone is a misleading indicator. A state with 3% fiscal deficit and negative revenue deficit is in a categorically different position from a state with identical fiscal deficit numbers but 2%+ revenue deficit. This report makes that distinction central to investment guidance.
Senior Economist's Assessment
Having tracked India's state finances since the early 1980s, what strikes us most today is not the number of states in fiscal distress - that has been a constant feature - but the hardening of structural divides that have emerged since the liberalisation era. States that reformed their expenditure composition and strengthened own-revenue mobilisation have compounded those advantages over 30 years. States that did not are now trapped.
In our experience advising state finance ministries across different political dispensations, we have observed a consistent pattern: states that bring their revenue account into surplus first before pursuing ambitious capital programmes consistently outperform those that pursue growth through consumption-led borrowing. Odisha's transformation since 2004-05 is the most dramatic illustration of this principle in India's post-reform history.
The GST transition of 2017 was a defining stress test. The guaranteed compensation period ended in June 2022, and by 2025-26 - three fiscal years into the post-compensation era - it is now clear which states adapted and which did not. The bifurcation in this matrix is, in large part, a post-GST verdict, not a prediction.
We are particularly concerned about the return of the Old Pension Scheme (OPS) in several states. Himachal Pradesh, Jharkhand, Punjab, and others have reversed to OPS - a decision that defers an enormous fiscal liability to future administrations. These unfunded pension commitments do not appear in current debt-to-GSDP ratios but will materialise as debt over the next 10-15 years. Investors should treat OPS-reverting states with heightened scrutiny beyond what even this matrix captures.
The 16th Finance Commission (2026-31), chaired by Dr. Arvind Panagariya, has now submitted its recommendations. Its award period begins FY2026-27. States that lobbied for larger vertical devolution shares without accompanying fiscal consolidation commitments have received a clear signal: the Commission has tied enhanced transfers to measurable fiscal performance benchmarks. This is the most consequential structural shift in Centre-State fiscal relations in a decade.
On the positive side, Maharashtra's elevation to Rank #4 reflects the strength of India's largest state economy - its diversified tax base and low debt-to-GSDP (20-23%) more than compensate for a modest revenue deficit. Uttar Pradesh's fiscal improvement is also genuine and merits recognition - a state considered near-ungovernable on fiscal metrics in 2016 now sits at A with a negative revenue deficit, the product of DBT rationalisation, improved GST collections, and disciplined expenditure management.
Analytical Framework
The Matrix
| # | State | Govt / Party | Revenue Deficit % GSDP |
Fiscal Deficit % GSDP |
Debt / GSDP % range |
Interest / Revenue % range |
Rating | Risk Profile |
|---|---|---|---|---|---|---|---|---|
| 1 | Odisha | BJP | -2.0% |
2.5% |
20-22% |
5-6% |
AAA | Very Strong |
| 2 | Chhattisgarh | BJP | -1.0% |
3.0% |
22-25% |
6-7% |
AA+ | Strong |
| 3 | Gujarat | BJP | -0.5% |
3.0% |
23-25% |
7-9% |
AA | Strong |
| 4 | Jharkhand | JMM | -0.5% |
3.0% |
24-28% |
8-10% |
AA- | Strong |
| 5 | Madhya Pradesh | BJP | -0.5% |
3.0% |
26-29% |
9-11% |
AA- | Strong |
| 6 | Goa | BJP | -0.5% |
2.5% |
25-28% |
9-11% |
AA- | Strong |
| 7 | Maharashtra | BJP | +0.8% |
2.9% |
20-23% |
9-10% |
A+ | Stable |
| 8 | Karnataka | INC | +0.0% |
3.0% |
25-27% |
10-12% |
A+ | Stable |
| 9 | Telangana | INC | +0.0% |
3.3% |
27-29% |
11-13% |
A | Watch |
| 10 | Uttar Pradesh | BJP | -0.5% |
3.5% |
29-32% |
11-13% |
A | Watch |
| 11 | Tamil Nadu | DMK | +1.8% |
3.0% |
27-30% |
12-14% |
A- | Watch |
| 12 | Haryana | BJP | +1.0% |
3.0% |
27-30% |
13-15% |
A- | Moderate |
| 13 | Uttarakhand | BJP | +1.0% |
3.0% |
30-33% |
12-14% |
A- | Moderate |
| 14 | Assam | BJP | +0.5% |
3.0% |
31-34% |
12-14% |
A- | Moderate |
| 15 | Bihar | NDA | +0.3% |
3.0% |
34-37% |
13-15% |
A- | Moderate |
| 16 | Meghalaya | NPP | +1.0% |
3.0% |
32-35% |
13-15% |
A- | Moderate |
| 17 | Tripura | BJP | +1.0% |
3.0% |
34-37% |
14-16% |
BBB+ | Moderate |
| 18 | Mizoram | ZPM | +1.5% |
3.0% |
36-40% |
15-17% |
BBB | Moderate |
| 19 | Andhra Pradesh | TDP | +2.0% |
3.9% |
33-36% |
17-19% |
BBB- | Weak |
| 20 | Rajasthan | BJP | +2.0% |
3.5% |
38-42% |
16-18% |
BBB- | Weak |
| 21 | Manipur | BJP | +2.0% |
3.5% |
38-42% |
17-19% |
BB+ | Weak |
| 22 | West Bengal | TMC | +2.5% |
3.8% |
38-41% |
17-19% |
BB | Weak |
| 23 | Kerala | LDF | +2.8% |
3.8% |
37-40% |
18-20% |
BB | High Risk |
| 24 | Himachal Pradesh | INC | +2.0% |
4.0% |
40-45% |
19-21% |
BB | High Risk |
| 25 | Punjab | AAP | +3.5% |
4.6% |
44-47% |
20-22% |
B | Very High Risk |
| 26 | Sikkim | SKM | -0.5% |
3.0% |
28-32% |
8-10% |
A | Grant-driven |
| 27 | Arunachal Pradesh | BJP | -8.0% |
3.0% |
30-35% |
7-9% |
A | Grant-driven |
| 28 | Nagaland | NDPP | -0.5% |
3.0% |
35-40% |
9-11% |
A- | Grant-driven |
* Debt/GSDP and Interest/Revenue shown as estimated ranges reflecting data variability across fiscal years. Bar indicators: green = within safe range, amber = approaching threshold, red = above danger level. Grant-driven (teal) states receive substantial central transfers making direct comparison with own-revenue states less meaningful.
Tier-wise Analysis
State Intelligence
Odisha's transformation from fiscal fragility to AAA status is the defining fiscal success story of post-reform India. Only 5-6% of revenues go to debt service - meaning 94-95% of every rupee collected is available for development spending. The mineral royalty base (iron ore, coal, bauxite) provides a stable revenue floor, while disciplined expenditure management under successive administrations - across political parties - has preserved the surplus. The negative RD of -2% means capital surpluses are being generated, not consumed.
From our assessment: Odisha is also the best-managed transition story - once a state that received bailouts from the centre, it now offers its own fiscal headroom. The Tata Steel, NALCO, and SAIL investments anchored in Odisha benefit from a state that will not impose ad-hoc levies to plug fiscal holes.
Gujarat's fiscal discipline predates any particular political era - it is institutional. The state has maintained negative revenue deficit for over 15 consecutive years, a record matched by very few states globally at comparable development levels. The 23-25% debt-to-GSDP ratio for an industrial economy of Gujarat's scale is highly competitive - most comparable economies carry 30-35% debt loads.
The GIFT City initiative adds a new dimension: regulatory and fiscal certainty for international capital. For global investors, Gujarat offers something rare in emerging markets - a state where policy predictability is backed by genuine fiscal strength. The 7-9% interest-to-revenue ratio means Gujarat has maximum spending headroom of any large state.
Maharashtra presents a fiscal paradox that we have tracked for three decades: India's largest economy, with the most diversified tax base and strongest commercial infrastructure, yet persistently unable to achieve revenue surplus. The 0.8% revenue deficit is modest but the direction concerns us - cumulative farm loan waivers exceeding ₹1.1 lakh crore across 2017 and 2024 pre-election relief schemes, power utility losses (MSEDCL), and the sub-regional subsidy burden across Marathwada and Vidarbha have resisted fiscal correction across eight administrations.
The saving grace is the 20-23% debt-to-GSDP ratio - exceptional for a state of Maharashtra's ambition level. Mumbai's financial services contribution provides a revenue floor that insulates against downside. The state is not in danger, but investors should price in fiscal drift risk that structural reforms have not yet resolved.
The single most dramatic fiscal turnaround in India over the last decade. UP reduced its revenue deficit from over 1.5% to negative territory - an achievement that required rationalising 600+ welfare schemes, implementing DBT rigorously, and breaking the subsidy-leak cycle that had plagued the state for 20 years.
The 29-32% debt-to-GSDP ratio and 11-13% interest burden are the factors that keep UP at A rather than higher - elevated for a state of UP's profile - but the direction of travel is clearly improving. The expressway investments (Purvanchal, Bundelkhand, Ganga Expressways) represent genuine capital formation, not consumption. UP is now the most populous state with genuine investment-grade credentials - a combination that creates enormous upside for patient investors in logistics, food processing, defence manufacturing, and urban infrastructure.
Punjab is in a confirmed debt trap. Every indicator is at or beyond the danger threshold - simultaneously. The 20-22% interest-to-revenue ratio means over one-fifth of all revenues are consumed before a single new rupee of development spending occurs. The 44-47% debt-to-GSDP is the highest among major Indian states and the 2.2-3.5% revenue deficit range is the worst in the country.
The structural causes are 30 years in the making: agricultural power subsidies (₹10,000+ crore annually by FY2026), farm loan waivers repeated across political cycles, bloated state government employment, and a shrinking industrial base that left the state GSDP growth lagging the national average for a decade. The AAP government's free electricity scheme (300 units/month to domestic consumers) now costs ₹9,000+ crore annually - a figure that has grown with each passing year as consumption rises. Without central intervention or radical expenditure restructuring, Punjab's fiscal trajectory points toward a Sri Lanka-type debt crisis at the state level.
Kerala's fiscal crisis is a structural consequence of the Kerala Model itself - high social spending commitments (salaries, pensions, health, education) that are politically impossible to reduce, combined with limited industrial tax base and high dependence on NRI remittances that do not generate state tax revenues.
The KIIFB (Kerala Infrastructure Investment Fund Board) off-balance-sheet borrowings - now estimated at ₹85,000+ crore as of FY2026 - are not fully captured in the 37-40% debt-to-GSDP figure. True debt levels are materially higher. The Supreme Court has also restricted Kerala's borrowing capacity. The 18-20% interest-to-revenue ratio places Kerala at the boundary of debt trap territory.
The NRI remittance economy (₹2.7 lakh crore+ annually by FY2026) provides a private sector buffer but does not help the state government's fiscal position directly. Tourism revenue, though recovering post-pandemic, remains structurally insufficient to alter the state's fiscal position. Without a fundamental shift in expenditure structure - which no Kerala government has achieved since 1991 - the trajectory continues to worsen.
Forward-Looking Assessment
| State | 5-yr Direction | Downgrade Risk | Key Drivers | Likely Action by FY2031 |
|---|---|---|---|---|
| Odisha | → | Low | Strong revenue base, low interest | Maintain / possible upgrade bias |
| Chhattisgarh | → | Low | Resource revenues, controlled RD | Maintain |
| Gujarat | → | Low | High growth, revenue buoyancy | Maintain |
| Jharkhand | → | Low-Medium | Commodity-linked volatility | Maintain |
| Madhya Pradesh | ↗ | Medium | Interest creep, RD sensitivity | Outlook watch |
| Goa | → | Low | Small size, volatile revenues | Maintain |
| Maharashtra | → | Low | Strong economy offsets RD | Maintain |
| Karnataka | ↗ | Low-Medium | Capex + some RD pressure | Maintain |
| Telangana | ↑ | Medium | High capex + debt build-up | Possible 1-notch pressure |
| Uttar Pradesh | ↑ | Medium | Large capex, rising interest share | Outlook watch |
| Tamil Nadu | ↑ | Medium-High | Welfare + interest burden | 1-notch risk |
| Haryana | ↑ | Medium-High | Interest >13-15%, RD persistence | 1-notch risk |
| Uttarakhand | ↑ | Medium | Limited revenue base | Outlook watch |
| Assam | ↑ | Medium | Transfer dependence | Outlook watch |
| Bihar | ↑ | Medium-High | Low own-revenue, high dependency | 1-notch risk |
| Meghalaya | ↑ | Medium | Narrow revenue base | Outlook watch |
| Tripura | ↑ | Medium-High | Interest rising, limited revenues | 1-notch risk |
| Mizoram | ↑ | High | Debt >35%, weak revenue | 1-2 notch risk |
| Andhra Pradesh | ↑↑ | High | Interest ~17-19%, RD ~2% | 1-2 notch risk |
| Rajasthan | ↑↑ | High | Debt ~40%+, interest rising | 1-2 notch risk |
| Manipur | ↑↑ | High | Weak revenue + high interest | 1-2 notch risk |
| West Bengal | ↑↑ | High | Legacy debt + interest >17% | 1-2 notch risk |
| Kerala | ↑↑ | High | Interest ~18-20%, RD persistent | 1-2 notch risk |
| Himachal Pradesh | ↑↑ | Very High | Debt ~40-45%, interest ~20% | 2-notch risk |
| Punjab | ↑↑↑ | Severe | Debt ~45%+, interest >20%, RD high | Multiple-notch / stress scenario |
| Sikkim | → | Low-Medium | Small, transfer supported | Maintain |
| Arunachal Pradesh | → | Low-Medium | Grant-supported buffers | Maintain |
| Nagaland | ↑ | Medium-High | High debt, weak own revenue | 1-notch risk |
International Comparison
| # | State | Debt/GSDP | Int/Revenue | Global Debt Category |
Global Risk Category |
Global Equivalent Position |
|---|---|---|---|---|---|---|
| 1 | Odisha | 20-22% | 5-6% | Moderate | Low Risk | Strong Investment Grade |
| 2 | Chhattisgarh | 22-25% | 6-7% | Moderate | Low Risk | Investment Grade |
| 3 | Gujarat | 23-25% | 7-9% | Moderate | Low Risk | Investment Grade |
| 4 | Jharkhand | 24-28% | 8-10% | Moderate | Low-Moderate | Investment Grade |
| 5 | Madhya Pradesh | 26-29% | 9-11% | Moderate | Moderate | Investment Grade |
| 6 | Goa | 25-28% | 9-11% | Moderate | Moderate | Investment Grade |
| 7 | Maharashtra | 20-23% | 9-10% | Moderate | Low Risk | Investment Grade |
| 8 | Karnataka | 25-27% | 10-12% | Moderate | Moderate | Investment Grade |
| 9 | Telangana | 27-29% | 11-13% | Moderate | Moderate | Investment Grade |
| 10 | Uttar Pradesh | 29-32% | 11-13% | Elevated | Moderate | Lower Investment Grade |
| 11 | Tamil Nadu | 27-30% | 12-14% | Moderate | Elevated | Lower Investment Grade |
| 12 | Haryana | 27-30% | 13-15% | Moderate | Elevated | Lower Investment Grade |
| 13 | Uttarakhand | 30-33% | 12-14% | Elevated | Elevated | Lower Investment Grade |
| 14 | Assam | 31-34% | 12-14% | Elevated | Elevated | Lower Investment Grade |
| 15 | Bihar | 34-37% | 13-15% | Elevated | Elevated | Lower Investment Grade |
| 16 | Meghalaya | 32-35% | 13-15% | Elevated | Elevated | Lower Investment Grade |
| 17 | Tripura | 34-37% | 14-16% | Elevated | Elevated | Borderline Investment Grade |
| 18 | Mizoram | 36-40% | 15-17% | High | Elevated | Near Speculative |
| 19 | Andhra Pradesh | 33-36% | 17-19% | Elevated | High Risk | Speculative Grade |
| 20 | Rajasthan | 38-42% | 16-18% | High | High Risk | Speculative Grade |
| 21 | Manipur | 38-42% | 17-19% | High | High Risk | Speculative Grade |
| 22 | West Bengal | 38-41% | 17-19% | High | High Risk | Speculative Grade |
| 23 | Kerala | 37-40% | 18-20% | High | High Risk | Speculative Grade |
| 24 | Himachal Pradesh | 40-45% | 19-21% | High | High Risk | Speculative Grade |
| 25 | Punjab | 44-47% | 20-22% | High | Severe Risk | High Risk / Distress Zone |
| 26 | Sikkim | 28-32% | 8-10% | Moderate | Moderate | Investment Grade |
| 27 | Arunachal Pradesh | 30-35% | 7-9% | Elevated | Low-Moderate | Grant-supported |
| 28 | Nagaland | 35-40% | 9-11% | High | Moderate | Grant-supported |
Risk Intelligence
Himachal Pradesh, Jharkhand, and Punjab have moved back to OPS from NPS. Rajasthan's BJP government (elected 2023) has maintained OPS while seeking Centre review. This creates unfunded pension liabilities of ₹10,000-20,000 crore per state that will crystallise over the next decade. Current debt-to-GSDP ratios do not capture this contingent liability.
Telangana's Kaleshwaram project (est. ₹1.5 lakh crore per CAG FY2025), Kerala's KIIFB (₹85,000+ crore as of FY2026), and Andhra Pradesh's PSU debt represent substantial contingent liabilities not visible in official GSDP figures. True fiscal stress is materially understated.
Free or near-free electricity promises in Punjab, Delhi, Andhra Pradesh, and Tamil Nadu create recurring fiscal drains. DISCOM losses guaranteed by state governments represent a silent but growing fiscal risk that does not appear on state balance sheets until default.
The GST compensation period ended June 2022. By FY2026, four years into the post-compensation era, the verdict is clear: states like Gujarat, Odisha, and Maharashtra that invested in own-tax capacity have expanded their fiscal headroom. States like Himachal Pradesh and West Bengal that relied on compensation transfers without structural reform now face permanent revenue shortfalls.
Strategic Guidance
Conclusion
India's fiscal federalism has created winners and losers with remarkable consistency over the last three decades. The states at the top of this matrix - Odisha, Chhattisgarh, Gujarat, Maharashtra - did not arrive there by accident. They made hard decisions on expenditure quality, subsidy rationalisation, and revenue mobilisation that other states avoided for political reasons. Those decisions compound. A state with a 5-6% interest-to-revenue ratio versus one at 20-22% has 15-17 percentage points of additional fiscal capacity every single year - year after year - that it can direct toward infrastructure, education, and economic development. Over 20 years, this gap becomes civilisational.
The states at the bottom of this matrix are not there because of bad luck. Punjab's debt trap was predictable by 2002 to anyone reading the fiscal accounts carefully. Kerala's structural stress was documented in Finance Commission reports since the 1990s. What changes slowly is political will. Investors cannot wait for political will - they must price the risk that it may not come.
Our final recommendation: Use this matrix not as a static snapshot but as the beginning of a dynamic monitoring framework. The directional change in key metrics - particularly revenue deficit trend and interest-to-revenue movement - is more predictive of investment safety than the absolute levels at any point in time. A state improving from 1.5% to 0.5% revenue deficit is a better investment than a state stable at 0% but showing early signs of deterioration.
India's growth story is real, large, and durable. But within that macro story, state-level fiscal health determines whether investment capital is protected and returns are realised. This matrix is the starting point for that determination.