A thought experiment
If Every Indian State Became Its Own Country, Which Ones Would Last?
Imagine India splitting into 30 independent nations overnight. Money stops flowing between states, every border gets a customs post, and each new country has to pay for its own army. We simulated 400 possible futures over 20 years to see which countries hold together and which hit a crisis they can't absorb.
How viable is each new country?
Each square is a former state, placed roughly where it sits on the map. The color shows the typical viability score in year 20 across all simulated futures. Select a square to find that country in the other charts.
View the data
| Name | Viability in year 20 |
|---|---|
| Jammu & Kashmir | 34 |
| Punjab | 52 |
| Himachal Pradesh | 52 |
| Uttarakhand | 54 |
| Sikkim | 41 |
| Arunachal Pradesh | 35 |
| Rajasthan | 51 |
| Haryana | 80 |
| Delhi | 73 |
| Uttar Pradesh | 55 |
| Bihar | 39 |
| Assam | 58 |
| Nagaland | 35 |
| Gujarat | 82 |
| Madhya Pradesh | 63 |
| Chhattisgarh | 74 |
| Jharkhand | 58 |
| West Bengal | 71 |
| Meghalaya | 49 |
| Manipur | 34 |
| Maharashtra | 92 |
| Telangana | 83 |
| Odisha | 79 |
| Tripura | 48 |
| Mizoram | 34 |
| Goa | 74 |
| Karnataka | 92 |
| Andhra Pradesh | 75 |
| Kerala | 77 |
| Tamil Nadu | 85 |
The first shock: the money stops moving
Inside India, richer states pay more in taxes than they get back from New Delhi, and the difference pays for schools, roads and salaries in poorer ones. Independence ends that on the first day. Delhi and Maharashtra suddenly keep money they used to send away. Bihar and the small Himalayan and Northeastern states lose a large part of their budgets.
Who gains and who loses when transfers end
Approximate net flow between each state and the central government, as a share of the state's economy. Positive means the state paid in more than it received.
View the data
| name | Net flow, % of state GDP |
|---|---|
| Delhi | +9% |
| Maharashtra | +6% |
| Karnataka | +5% |
| Haryana | +3.5% |
| Gujarat | +3.5% |
| Telangana | +3% |
| Tamil Nadu | +3% |
| Goa | +1.5% |
| Kerala | −0.5% |
| Punjab | −2% |
| Andhra Pradesh | −2.5% |
| Uttarakhand | −3% |
| West Bengal | −3% |
| Rajasthan | −3.5% |
| Odisha | −4% |
| Madhya Pradesh | −4.5% |
| Chhattisgarh | −4.5% |
| Uttar Pradesh | −5% |
| Jharkhand | −6% |
| Himachal Pradesh | −9% |
| Assam | −9% |
| Bihar | −10% |
| Meghalaya | −16% |
| Jammu & Kashmir | −18% |
| Tripura | −18% |
| Sikkim | −20% |
| Manipur | −24% |
| Nagaland | −26% |
| Mizoram | −28% |
| Arunachal Pradesh | −30% |
How long each country lasts
Countries rarely disappear. They hit a crisis: a debt default, a currency collapse, a food emergency, a fight over river water, mass unrest or a border war. The chart below tracks, for each new country, the share of simulated futures in which it has not yet had one.
Under these assumptions, 13 of 30 new countries get through 20 years without a major crisis in most futures, and 9 hit one within five years in most futures. The strongest are Maharashtra, Karnataka and Tamil Nadu. The weakest are Manipur, Mizoram and Jammu & Kashmir. None of 30 end up richer than if India had stayed together.
Share of futures with no major crisis yet
Each line is one country. Hover over or tap a line to follow it; the color shows how many of its futures are still crisis-free in year 20.
View the data
| Year | Jammu & Kashmir | Punjab | Himachal Pradesh | Uttarakhand | Sikkim | Arunachal Pradesh | Rajasthan | Haryana | Delhi | Uttar Pradesh | Bihar | Assam | Nagaland | Gujarat | Madhya Pradesh | Chhattisgarh | Jharkhand | West Bengal | Meghalaya | Manipur | Maharashtra | Telangana | Odisha | Tripura | Mizoram | Goa | Karnataka | Andhra Pradesh | Kerala | Tamil Nadu |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% |
| 1 | 95% | 98% | 94% | 100% | 96% | 95% | 98% | 98% | 93% | 100% | 99% | 99% | 96% | 99% | 100% | 100% | 98% | 98% | 97% | 98% | 100% | 98% | 100% | 97% | 97% | 96% | 100% | 96% | 98% | 98% |
| 2 | 0% | 95% | 91% | 99% | 93% | 0% | 96% | 96% | 85% | 100% | 97% | 98% | 0% | 96% | 100% | 100% | 96% | 96% | 93% | 81% | 100% | 93% | 100% | 95% | 34% | 95% | 100% | 95% | 96% | 96% |
| 3 | 0% | 93% | 83% | 99% | 25% | 0% | 94% | 94% | 78% | 100% | 96% | 97% | 0% | 95% | 100% | 100% | 95% | 94% | 90% | 0% | 100% | 91% | 100% | 82% | 0% | 93% | 100% | 93% | 95% | 96% |
| 4 | 0% | 91% | 67% | 98% | 0% | 0% | 92% | 94% | 73% | 100% | 90% | 96% | 0% | 93% | 100% | 100% | 94% | 94% | 48% | 0% | 100% | 91% | 100% | 0% | 0% | 92% | 100% | 92% | 93% | 95% |
| 5 | 0% | 88% | 3% | 97% | 0% | 0% | 88% | 92% | 66% | 100% | 53% | 96% | 0% | 91% | 100% | 100% | 92% | 92% | 1% | 0% | 100% | 90% | 100% | 0% | 0% | 90% | 100% | 91% | 93% | 95% |
| 6 | 0% | 77% | 0% | 94% | 0% | 0% | 83% | 90% | 59% | 99% | 11% | 94% | 0% | 89% | 100% | 100% | 91% | 91% | 0% | 0% | 100% | 88% | 100% | 0% | 0% | 89% | 100% | 90% | 92% | 93% |
| 7 | 0% | 63% | 0% | 91% | 0% | 0% | 76% | 89% | 55% | 96% | 2% | 92% | 0% | 88% | 100% | 100% | 88% | 89% | 0% | 0% | 100% | 87% | 100% | 0% | 0% | 88% | 100% | 88% | 91% | 92% |
| 8 | 0% | 45% | 0% | 85% | 0% | 0% | 61% | 88% | 51% | 91% | 0% | 89% | 0% | 88% | 98% | 100% | 85% | 89% | 0% | 0% | 100% | 86% | 100% | 0% | 0% | 86% | 100% | 88% | 90% | 92% |
| 9 | 0% | 28% | 0% | 78% | 0% | 0% | 46% | 87% | 47% | 85% | 0% | 85% | 0% | 86% | 96% | 100% | 82% | 88% | 0% | 0% | 100% | 85% | 100% | 0% | 0% | 86% | 100% | 87% | 89% | 91% |
| 10 | 0% | 15% | 0% | 66% | 0% | 0% | 30% | 86% | 45% | 76% | 0% | 77% | 0% | 84% | 94% | 100% | 80% | 88% | 0% | 0% | 100% | 84% | 100% | 0% | 0% | 85% | 100% | 87% | 89% | 91% |
| 11 | 0% | 10% | 0% | 56% | 0% | 0% | 20% | 86% | 42% | 66% | 0% | 72% | 0% | 83% | 91% | 100% | 76% | 88% | 0% | 0% | 100% | 84% | 100% | 0% | 0% | 84% | 100% | 86% | 88% | 91% |
| 12 | 0% | 5% | 0% | 45% | 0% | 0% | 12% | 85% | 40% | 55% | 0% | 61% | 0% | 80% | 87% | 100% | 72% | 87% | 0% | 0% | 100% | 82% | 100% | 0% | 0% | 84% | 100% | 85% | 88% | 91% |
| 13 | 0% | 2% | 0% | 38% | 0% | 0% | 7% | 85% | 35% | 48% | 0% | 52% | 0% | 80% | 84% | 100% | 69% | 87% | 0% | 0% | 100% | 82% | 100% | 0% | 0% | 82% | 100% | 84% | 87% | 90% |
| 14 | 0% | 1% | 0% | 30% | 0% | 0% | 3% | 85% | 33% | 40% | 0% | 45% | 0% | 79% | 80% | 99% | 65% | 87% | 0% | 0% | 100% | 81% | 100% | 0% | 0% | 82% | 100% | 84% | 87% | 90% |
| 15 | 0% | 1% | 0% | 25% | 0% | 0% | 1% | 84% | 30% | 31% | 0% | 38% | 0% | 78% | 79% | 99% | 62% | 86% | 0% | 0% | 100% | 81% | 100% | 0% | 0% | 82% | 100% | 83% | 86% | 89% |
| 16 | 0% | 1% | 0% | 19% | 0% | 0% | 0% | 83% | 29% | 26% | 0% | 29% | 0% | 77% | 75% | 99% | 59% | 86% | 0% | 0% | 100% | 80% | 100% | 0% | 0% | 81% | 100% | 83% | 85% | 89% |
| 17 | 0% | 0% | 0% | 13% | 0% | 0% | 0% | 82% | 27% | 21% | 0% | 23% | 0% | 76% | 72% | 99% | 56% | 85% | 0% | 0% | 100% | 80% | 100% | 0% | 0% | 80% | 100% | 82% | 84% | 89% |
| 18 | 0% | 0% | 0% | 11% | 0% | 0% | 0% | 82% | 24% | 17% | 0% | 18% | 0% | 75% | 70% | 99% | 53% | 84% | 0% | 0% | 100% | 79% | 100% | 0% | 0% | 79% | 100% | 82% | 84% | 89% |
| 19 | 0% | 0% | 0% | 9% | 0% | 0% | 0% | 82% | 23% | 15% | 0% | 15% | 0% | 74% | 66% | 99% | 52% | 83% | 0% | 0% | 100% | 78% | 100% | 0% | 0% | 78% | 100% | 82% | 83% | 88% |
| 20 | 0% | 0% | 0% | 6% | 0% | 0% | 0% | 81% | 22% | 12% | 0% | 13% | 0% | 73% | 63% | 98% | 48% | 82% | 0% | 0% | 100% | 78% | 100% | 0% | 0% | 76% | 100% | 81% | 83% | 88% |
Six ways a new country breaks
The model watches for six kinds of crisis. Each one has a rule that sets it off, and each has happened to real countries in South Asia within living memory. The lists show which new countries hit each crisis most often under these assumptions. Select a country to find it in the other charts.
Debt default
- What sets it off
- Debt passes 100% of GDP, or 85% while reserves are also running out. Lenders stop rolling over its bonds.
- It has happened before
- Sri Lanka defaulted on its foreign debt in 2022, the first default in its history. Lebanon defaulted in 2020.
- Most exposed · share of futures with at least one
Currency collapse
- What sets it off
- Reserves fall below one month of imports, so the country can no longer pay for fuel, fertiliser or medicine from abroad.
- It has happened before
- In early 2023 Pakistan's central-bank reserves fell to roughly three weeks of imports before it reached a new IMF deal.
- Most exposed · share of futures with at least one
Food emergency
- What sets it off
- A failed monsoon hits a country that cannot grow enough food and cannot buy it, because neighbours restrict grain sales or reserves are thin.
- It has happened before
- After the droughts of 1965 and 1966, India depended on shipments of American wheat, a period remembered as living 'ship to mouth'.
- Most exposed · share of futures with at least one
Water conflict
- What sets it off
- In a drought, a hostile upstream neighbour holds back river water from a country that relies on it.
- It has happened before
- The Cauvery dispute already turns violent in dry years: Bengaluru saw riots in 2016 after the Supreme Court ordered Karnataka to release water to Tamil Nadu.
- Most exposed · share of futures with at least one
Mass unrest
- What sets it off
- Political stability, which falls with weak growth, food shortages and earlier crises, drops so low that the government falls.
- It has happened before
- Sri Lanka's 2022 protests forced its president to flee and resign. Bangladesh's government fell to a protest movement in 2024.
- Most exposed · share of futures with at least one
Border war
- What sets it off
- Countries on the Pakistan, China or Myanmar borders face a small yearly risk of fighting. About a third of clashes escalate into war.
- It has happened before
- India fought Pakistan at Kargil in 1999 and clashed with China in the Galwan Valley in 2020. A small new country would face them alone.
- Most exposed · share of futures with at least one
One possible future
The averages hide how messy any single future would be. Here is one run of the simulation, year by year: every crisis, why it happened and what came next, along with the diplomacy, trade deals and migration around it.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
A quiet year.
Every country, compared
Incomes are per person in today's dollars, as the median across all 400 futures. "Vs. staying in India" sets each country against a version of the same model where India stays whole.
Swipe the table sideways for more columns →
| Maharashtra | 0% | 20+ yrs | −4% | 92 | — | 126m | $3,730 | $11k |
| Odisha | 0% | 20+ yrs | −16% | 79 | — | 46m | $2,196 | $5,741 |
| Karnataka | 0% | 20+ yrs | −6% | 92 | — | 68m | $4,412 | $13k |
| Chhattisgarh | 2% | 20+ yrs | −25% | 74 | Currency collapse | 30m | $2,033 | $4,404 |
| Tamil Nadu | 12% | 20+ yrs | −14% | 85 | Water conflict | 77m | $4,286 | $13k |
| Kerala | 18% | 20+ yrs | −18% | 77 | Food emergency | 36m | $3,861 | $11k |
| West Bengal | 18% | 20+ yrs | −30% | 71 | Water conflict | 100m | $2,070 | $4,741 |
| Haryana | 19% | 20+ yrs | −22% | 80 | Water conflict | 30m | $4,433 | $10k |
| Andhra Pradesh | 19% | 20+ yrs | −24% | 75 | Water conflict | 54m | $3,222 | $8,061 |
| Telangana | 23% | 20+ yrs | −21% | 83 | Water conflict | 38m | $4,605 | $11k |
| Goa | 24% | 20+ yrs | −14% | 74 | Food emergency | 1.6m | $7,500 | $20k |
| Gujarat | 28% | 20+ yrs | −15% | 82 | Border war | 72m | $4,028 | $10k |
| Madhya Pradesh | 38% | 20+ yrs | −34% | 63 | Debt default | 87m | $1,885 | $3,539 |
| Jharkhand | 52% | 20 yrs | −35% | 58 | Food emergency | 40m | $1,325 | $2,396 |
| Delhi | 79% | 9 yrs | −20% | 73 | Food emergency | 22m | $6,091 | $13k |
| Assam | 88% | 14 yrs | −40% | 58 | Debt default | 36m | $1,917 | $3,383 |
| Uttar Pradesh | 88% | 13 yrs | −43% | 55 | Debt default | 240m | $1,229 | $1,989 |
| Uttarakhand | 94% | 12 yrs | −37% | 54 | Debt default | 12m | $3,333 | $6,315 |
| Jammu & Kashmir | 100% | 2 yrs | −69% | 34 | Debt default | 14.5m | $2,000 | $1,850 |
| Punjab | 100% | 8 yrs | −45% | 52 | Debt default | 31m | $2,871 | $4,991 |
| Himachal Pradesh | 100% | 5 yrs | −45% | 52 | Debt default | 7.5m | $3,333 | $5,940 |
| Sikkim | 100% | 3 yrs | −54% | 41 | Debt default | 0.7m | $8,143 | $11k |
| Arunachal Pradesh | 100% | 2 yrs | −68% | 35 | Debt default | 1.6m | $2,875 | $2,711 |
| Rajasthan | 100% | 9 yrs | −45% | 51 | Debt default | 82m | $2,256 | $3,507 |
| Bihar | 100% | 6 yrs | −62% | 39 | Debt default | 130m | $785 | $780 |
| Nagaland | 100% | 2 yrs | −65% | 35 | Debt default | 2.3m | $2,087 | $2,192 |
| Meghalaya | 100% | 4 yrs | −49% | 49 | Debt default | 3.4m | $1,618 | $2,460 |
| Manipur | 100% | 3 yrs | −64% | 34 | Debt default | 3.3m | $1,636 | $1,828 |
| Tripura | 100% | 4 yrs | −51% | 48 | Debt default | 4.2m | $2,286 | $3,435 |
| Mizoram | 100% | 2 yrs | −65% | 34 | Debt default | 1.3m | $2,769 | $2,897 |
How the model works
This is a deliberately simple model. It is meant to show which forces matter, not to predict what would happen.
- Starting point. Each state begins with its approximate 2023–24 population, economic output, debt, farm output and its net flow of money with the central government. It inherits a share of the national debt and splits India's foreign-exchange reserves.
- Day-one shocks. Transfers stop. Every new border adds trade friction, which is worse for landlocked countries because their exports must cross a neighbour. Each country must fund its own military, and more so on the Pakistan and China borders.
- Each year. A shared monsoon draw hits farm-heavy economies. Relations between neighbours drift, which sets how easily a country can trade, reach a port and get river water from upstream. Growth, debt, reserves and political stability update from those.
- Crises. A country defaults if debt passes 100 percent of GDP, or 85 percent with thin reserves. Its currency collapses if reserves fall below a month of imports. A drought becomes a food emergency when a country can't grow or buy enough food, and a water conflict when an upstream neighbour is hostile. Low stability means mass unrest. Hostile borders carry a small yearly risk of war.
- Many futures. The model runs 400 times with different random draws. The map, table and statistics show medians; the survival chart and the crisis cards show how often each country avoids or hits a crisis.
What it leaves out
The violence and migration of an actual breakup, which would likely be far worse than anything modelled here. New alliances or federations between neighbours. Foreign aid, IMF programs beyond a simple bailout, and how Pakistan, China and Bangladesh would respond. Currency unions, and the chance that the new countries simply reunite.
Sources for starting figures
Reserve Bank of India, Handbook of Statistics on Indian States; Fifteenth Finance Commission report and state budget documents; Ministry of Statistics and Programme Implementation state GDP series; population projections from the National Commission on Population. All values are rounded and some are estimates. Download the data: states.csv, results.csv, survival.csv, crises.json, future.json.