RBI/IDH gives the granular bank-credit map. BIS and IMF add the wider household-debt and credit-system context without replacing the Indian loan-product data.
This gives the long answer: bank credit moved from an industry-led book toward personal and services credit.
IndiaDataHub/RBI · outstanding credit by sector · old classification through 2018, current classification from 2019
INR crore
ServicesIndustryPersonal loans, Agriculture
About this chart
The broad credit book used to be read mainly through industry. By April 2026, personal loans are the largest of these four buckets, services are close behind, and industry is no longer the dominant line. The point is not that industry stopped borrowing; it is that the banking system now carries a much larger household-facing and services-facing book.
How to read it Read each line as outstanding INR crore. The pre-2019 part is old classification; the post-2019 part is current classification.
Watch out Do not treat the 2019 boundary as a normal month-to-month kink.
Start with the broad map. In April 2007, personal loans were Rs 4.7 lakh crore, services were Rs 4 lakh crore, and industry was Rs 6.7 lakh crore. By April 2026, personal loans were Rs 69.6 lakh crore, services were Rs 59.5 lakh crore, industry was Rs 45.4 lakh crore, and agriculture was Rs 26.3 lakh crore.
That is the central answer. India's bank-credit book has become more personal and more services-heavy. Industry did not disappear; it rose in absolute terms.
But it no longer carries the whole story. The useful question is not only whether credit rose. It is where that credit now sits.
The latest credit mix
The latest current-classification month in the IDH/RBI sectoral series is April 2026. The order is now personal loans first, services second, industry third, agriculture fourth. That ordering is a balance-sheet fact, not a mood.
Personal loans are therefore not a side pocket in the banking system. Services are also not a small residual category. Together they explain why the old shorthand of bank credit as mainly industrial credit is no longer enough.
Chart
The latest credit mix
The current balance sheet is the simplest way to see why personal credit now leads the story.
IndiaDataHub/RBI · selected non-food credit buckets · April 2026
INR crore
About this chart
The latest mix compresses the long history into one balance-sheet snapshot: personal loans at Rs 69.6 lakh crore, services at Rs 59.5 lakh crore, industry at Rs 45.4 lakh crore, and agriculture at Rs 26.3 lakh crore. That ordering is the article's headline in miniature.
How to read it Segments are latest current-classification outstanding amounts.
Watch out Do not read this as all bank assets or as household debt only.
What is inside personal loans?
Personal loans are not one product. Housing or mortgage loans are the anchor at Rs 33.5 lakh crore in April 2026. Other personal loans are Rs 17.3 lakh crore. Vehicle loans are Rs 7.4 lakh crore. Gold loans are Rs 4.9 lakh crore.
Credit-card outstanding is Rs 3 lakh crore. Loans against fixed deposits and education loans are each about Rs 1.6 lakh crore.
This is the most important clarification in the article. Housing is still the base, but the personal-credit story is not just homes. It includes unsecured or less clearly labelled other personal loans, vehicle finance, card balances, gold-backed borrowing, education loans and loans against existing assets.
Chart
What is inside personal loans?
Personal credit is not one product; housing is the anchor, while other personal, vehicles, gold, cards and education each tell a different story.
IndiaDataHub/RBI · personal-loan subcategories · April 2026
INR crore
About this chart
Housing is still the largest retail loan stock, but the chart prevents 'personal loans' from becoming a vague label. Other personal loans, vehicles, gold and cards are now large enough to matter separately, and each carries a different borrower behaviour and risk story.
How to read it Bars rank latest outstanding credit by personal-loan subcategory.
Watch out Credit-card outstanding is not card transaction volume; gold has a shorter monthly history.
Which personal loans grew fastest?
From April 2007 to April 2026, total personal loans rose about 14.9x. Other personal loans rose about 20.7x. Credit-card outstanding rose about 15.1x. Housing or mortgage loans rose about 14.4x. Vehicle loans rose about 12.2x.
That long-history comparison is only for lines where the old-classification monthly history exists. It says the retail book widened beyond housing. It does not include gold, because the IDH probe did not find a clean old-classification monthly gold-loan pair.
Chart
Which personal loans grew fastest?
The latest ranking hides the growth story: smaller categories such as cards and other personal loans compounded faster than the housing anchor.
IndiaDataHub/RBI · latest outstanding divided by April 2007, where old-classification history exists
multiple
About this chart
Housing remains the largest rupee stock, but it is not the fastest long-run mover. Other personal loans and credit-card outstanding expanded faster from the 2007 base, showing how retail credit widened beyond the classic home-loan story.
How to read it Each bar is latest outstanding divided by April 2007 outstanding.
Watch out Gold is excluded because there is no old-classification monthly pair in the probe.
The personal-loan engine
The line chart shows the path behind the ranking. Housing builds steadily. Other personal loans become the second large retail bucket. Vehicles and cards become visible but smaller channels. Education remains much smaller.
Read this as outstanding stock, not monthly disbursement. A rising line means more credit remains on bank balance sheets at the reporting date. It can reflect new borrowing, older loans not yet repaid, longer loan tenors, formalisation, or classification changes.
Chart
The personal-loan engine
This shows the path, not just the latest ranking: housing remains the base, while other personal loans became a second large retail bucket.
IndiaDataHub/RBI · selected personal-loan categories · old classification through 2018, current from 2019
INR crore
Other personalHousing / mortgage, Vehicle loans, Credit cards, Education
About this chart
The line chart shows why the personal-credit story is not a single boom. Housing rises steadily as the base. Other personal loans become the second large line. Vehicles and cards grow into visible smaller channels, while education stays comparatively flat.
How to read it Each line is an outstanding-stock series in INR crore.
Watch out Do not read outstanding stock as monthly borrowing.
Since 2019, gold lending grew fastest
Gold needs its own window because the comparable monthly data starts in the current classification. From January 2019 to April 2026, bank gold loans rose from about Rs 0.24 lakh crore to Rs 4.9 lakh crore, about 20x. Over the same window, credit-card outstanding rose about 3.6x, vehicle loans about 2.6x, other personal loans about 3.3x, and housing about 2.9x.
The 20x number should not be read like the 2007-to-2026 chart. It starts from a smaller base and uses a shorter window. But it is still a major signal: gold is the fastest-growing named retail product in the comparable current-classification period.
Chart
Since 2019, gold lending grew fastest
Gold is too Indian and too visible to bury in a caveat. The comparable current-classification window shows gold loans expanding much faster than the other named personal-loan products.
IndiaDataHub/RBI · current-classification personal-loan subcategories · Jan 2019 to Apr 2026
multiple
About this chart
Gold loans start from a smaller base, so the multiple is not the same as the rupee-stock ranking. But the 2019-to-2026 comparison is still important: gold is the fastest-growing named retail product in the comparable current-classification window.
How to read it Each bar is April 2026 outstanding divided by January 2019 outstanding.
Watch out Do not compare this 2019-window chart with the 2007-window chart as if they use the same base.
Gold became a separate retail-credit story
The rupee level now matters as much as the growth multiple. By April 2026, bank gold-loan outstanding was larger than credit-card outstanding and education loans. It was no longer a tiny line hidden at the edge of personal credit.
That does not mean every rupee is household distress. Gold-loan balances can rise because more households borrow, because banks formalise lending that used to sit outside banks, because gold prices raise collateral capacity, or because reporting improves. But gold clearly belongs in the story of how India borrows.
Chart
Gold became a separate retail-credit story
The latest personal-credit map is not only homes and unsecured personal loans. Gold loans are now larger than credit-card outstanding and education loans in bank books.
IndiaDataHub/RBI · current-classification smaller personal-loan lines · Jan 2019 to Apr 2026
INR crore
Gold loansEducationVehicle loans, Credit cards, Against deposits, Consumer durables
The path matters because gold is not just a high multiple from a tiny base. By April 2026 it has become a sizeable bank-credit line, above cards and education in this comparison, and close enough to vehicles to deserve its own treatment.
How to read it Lines are current-classification outstanding stocks from January 2019 onward.
Watch out A rising balance is not automatically distress; collateral values and formalisation can matter.
Bank data is not the whole household-debt story
The RBI/IDH charts above are the right source for Indian bank-credit composition. They tell us homes, other personal loans, vehicles, gold, cards and education. BIS Total Credit answers a different question: how much household credit exists across the whole credit system?
On the BIS measure, credit to Indian households and NPISHs from all sectors was 45.5% of GDP in 2025-Q3. In domestic-currency terms, that is about Rs 150.6 lakh crore. That is much larger than the Rs 69.6 lakh crore of bank personal loans in the April 2026 IDH/RBI table because the definitions, lender universe and dates differ.
This is why BIS is useful but not a replacement. It gives scale and a denominator. It does not break Indian household credit into housing, gold, cards, vehicles or education. For those product lines, RBI/IDH remains the source.
Chart
Household credit is bigger than bank personal loans
RBI/IDH tells us what sits in bank books. BIS tells us how large household credit is across the credit system.
BIS · credit to households and NPISHs from all sectors · quarterly · adjusted for breaks
% of GDP
About this chart
The latest BIS point is 45.5% of GDP in 2025-Q3, or about Rs 150.6 lakh crore in domestic-currency terms. That is larger than RBI/IDH bank personal loans because BIS covers household credit from all sectors, not only loans sitting directly on bank balance sheets.
How to read it The line is total credit to households and NPISHs from all sectors as a percentage of GDP.
Watch out This is not a product breakup. BIS does not split India's household credit into housing, gold, cards or vehicles.
Is India highly household-indebted?
Against peers, India is not at the top of the household-debt table. IMF Global Debt Database puts India's household debt at 40.8% of GDP in 2024. Canada is about 100.1%, Korea 90.1%, Thailand 86.7% in its latest 2023 point, the UK 76.2%, the US 69.4%, China 61.4%, Germany 49.9%, Brazil 36.4%, South Africa 33.7%, Mexico 16.7%, and Indonesia 16.2%.
So the article should not say simply that India is uniquely over-borrowed. The sharper point is compositional: India's bank book has changed fast, especially toward personal credit, gold loans and finance-linked services. The macro household-debt ratio is still moderate compared with many richer and East Asian economies.
Chart
Household debt, India and peers
This prevents an India-only chart from making household borrowing look large or small without a denominator.
IMF Global Debt Database · household loans and debt securities · latest available
% of GDP
About this chart
India's latest IMF GDD value is 40.8% of GDP, well below Canada, Korea, Thailand, the UK, the US and China, but above Indonesia and Mexico. The comparison changes the tone: India has a fast-changing retail-credit mix, not the world's highest household-debt ratio.
How to read it Bars are household debt as a share of GDP. Most countries are 2024; Thailand's latest IMF GDD point is 2023.
Watch out IMF GDD is annual and broad. Use it for peer context, not Indian product composition.
Banks are not the whole credit system
BIS also shows why bank-credit charts need a boundary line. In 2025-Q3, India's private non-financial credit from all lenders was 97.4% of GDP. The domestic-bank slice was 59.5% of GDP. Banks are central, but they are not the entire credit system.
This matters for services credit too. When banks lend to NBFCs, a loan can sit in the bank-credit table as services or finance-company credit while the end borrower may be a household or business elsewhere. The RBI table shows the bank's immediate borrower category. It does not always show the final household or firm using the money.
Chart
Banks are not the whole credit system
The RBI charts are bank-credit charts. BIS shows the difference between bank credit and total private non-financial credit.
BIS · private non-financial sector credit · all lenders vs domestic banks
% of GDP
All lendersDomestic banks
About this chart
In 2025-Q3, total private non-financial credit was 97.4% of GDP, while the domestic-bank line was 59.5%. The distance between them is the part of the credit system that the domestic-bank view does not capture directly: non-bank lenders, market credit, foreign sources and other all-lender channels.
How to read it Both lines are private non-financial credit as a percentage of GDP. The top line is all lenders; the lower line is domestic banks.
Watch out The measure is private non-financial credit, not household credit alone.
Is credit running hot?
The BIS credit-to-GDP gap adds a risk lens. It compares private non-financial credit-to-GDP with a backward-looking long-run trend. For India, the latest BIS gap is -3.1 percentage points in 2025-Q3: actual private non-financial credit is 97.4% of GDP against a BIS trend of 100.5%.
That is not a clean bill of health, and it is not a forecast. But it keeps the interpretation disciplined. The visible Indian story here is not just an economy-wide credit boom. It is a change in where credit sits: retail products, gold collateral, NBFCs, trade, priority-sector categories and infrastructure.
Chart
Is credit running ahead of trend?
Borrowing composition is one question; whether credit is running hot is another. The BIS gap gives a compact risk lens.
BIS · private non-financial credit-to-GDP gap · actual minus HP-filter trend
percentage points
About this chart
India's latest BIS gap is -3.1 percentage points in 2025-Q3: private non-financial credit is below the BIS long-run trend, not above it. That does not prove there is no stress, but it argues against describing the current story as a simple economy-wide credit boom.
How to read it Positive values mean private non-financial credit-to-GDP is above its BIS long-run trend; negative values mean it is below trend.
Watch out This is an early-warning indicator, not a forecast. BIS explicitly cautions against mechanical policy use.
Services credit is finance-heavy
Services credit is not just restaurants, software and transport. In April 2026, NBFCs alone had Rs 20.6 lakh crore of outstanding bank credit. Trade had Rs 13.2 lakh crore. Other services had Rs 12.2 lakh crore. Commercial real estate had Rs 6.4 lakh crore. HFCs and PFIs add more finance-adjacent credit.
That makes services a layered credit bucket. Some of it is ordinary business credit. Some of it is credit to financial intermediaries that may lend onward. Some of it sits around trade and real estate. Services credit is not the same thing as household borrowing, but it is part of the same shift away from the old industry-only shorthand.
Chart
Services credit is finance-heavy
Services credit is not just shops and hotels; finance companies, trade and real estate sit inside the services bucket.
IndiaDataHub/RBI · selected services subcategories · April 2026
INR crore
About this chart
NBFCs are the biggest selected services line, which means part of 'services credit' is really credit to financial intermediaries. Trade, other services and commercial real estate add a business-credit layer that is very different from household personal loans.
How to read it Bars are latest outstanding credit for selected services subcategories.
Watch out NBFC credit is not direct household borrowing.
Where services credit went
The history of services credit is led by finance-company and trade credit, not by a simple catch-all service economy story. NBFC credit is especially important because banks lending to NBFCs can later become credit to households, small firms or other borrowers outside this table's immediate classification.
That is why services needs to be read carefully. It is a borrower-sector label on a bank balance sheet. It may point to onward lending, working capital, trade finance, commercial real estate, or direct services activity depending on the sub-line.
Chart
Where services credit went
Services became one of the large destinations for bank credit, and the internal path is led by finance-company and trade credit.
IndiaDataHub/RBI · selected services subcategories · old classification through 2018, current from 2019
INR crore
TradeNBFCs, Other services, Commercial real estate, Transport operators, Tourism/hotels, Computer software
Trade₹13.2 lakh crNBFCs, Other services, Commercial real estate, Transport operators, Tourism/hotels, Computer software
About this chart
The history shows services credit becoming finance-heavy over time rather than simply growing as a broad service-economy proxy. NBFC and trade credit are the key lines to watch because they connect bank balance sheets to onward lending and working-capital flows.
How to read it Each line is outstanding bank credit to a services subcategory.
Watch out Do not add trade to wholesale and retail trade unless the taxonomy says they are separate in that view.
Priority-sector credit adds another lens
Priority-sector lending is a policy lens, not a clean borrower-sector lens. In April 2026, the priority-sector table shows micro and small enterprises at Rs 29.7 lakh crore, agriculture at Rs 26.2 lakh crore, weaker sections at Rs 19.8 lakh crore, housing at Rs 10.4 lakh crore, and medium enterprises at Rs 7.1 lakh crore.
Do not add those numbers to the non-food sectoral buckets above. The point is different: Indian bank credit is shaped not only by demand for loans, but also by directed-lending categories that push banks toward agriculture, small enterprises, housing and weaker-section lending.
Chart
Priority-sector credit is not one thing
Priority-sector lending is a policy category layered over borrower categories, so it is useful context for how banks are directed to lend.
IndiaDataHub/RBI · priority-sector line items · April 2026
INR crore
About this chart
This chart is not another sectoral split of the same loan book. It is the policy lens: MSEs, agriculture, weaker sections and housing show how directed-lending rules shape where bank credit is pushed, sometimes cutting across the borrower categories above.
How to read it Bars are latest priority-sector outstanding amounts by named line item.
Watch out Priority-sector rows are a separate classification lens and should not be added to sectoral rows.
Which industries borrow most?
Industry still matters, and the latest industry-detail map is led by infrastructure at Rs 14.9 lakh crore. Power is Rs 8.5 lakh crore. Basic metals are Rs 5.1 lakh crore, iron and steel Rs 3.5 lakh crore, roads Rs 3.4 lakh crore, engineering Rs 3.1 lakh crore, chemicals Rs 3.1 lakh crore, textiles Rs 3 lakh crore, and gems and jewellery Rs 1.2 lakh crore.
The point is balance. The industrial credit book is still large, capital-intensive and concentrated. But the broad industry bucket is now smaller than personal loans and services in the April 2026 sectoral split.
Chart
Which industries borrow most?
Industry is smaller as a share than before, but it still has a clear internal hierarchy.
IndiaDataHub/RBI · selected industry-detail categories · April 2026
INR crore
About this chart
The latest industrial map is concentrated in infrastructure and its related pieces: power, roads, metals and engineering. That is why industry can be smaller than personal loans in the broad chart and still remain central to capital formation.
How to read it Bars are selected industry-detail categories, not the broad industry total.
Watch out Do not add child rows to parent rows.
Infrastructure still anchors industrial credit
Inside industry, infrastructure is the line to watch. It is much larger than most other industrial categories because infrastructure projects are capital-intensive and debt-heavy. Power and roads sit inside that broader infrastructure story, so the industry charts should be read as a hierarchy, not as a list to blindly sum.
Read this as borrower-industry credit outstanding, not as a measure of output, project quality, profitability or whether the borrowing is healthy. The chart tells you where bank credit is parked, not whether every rupee was well used.
Chart
Infrastructure still anchors industrial credit
The industry story is not dead; it is concentrated. Infrastructure remains the main industrial borrower even after retail credit became larger.
IndiaDataHub/RBI · selected industry categories · old classification through 2018, current from 2019
INR crore
InfrastructurePower, Roads, Metals, Chemicals
About this chart
The industrial-credit story is less about a broad manufacturing surge and more about long-lived, debt-heavy infrastructure. Power and roads sit inside that story, while metals and chemicals form the next tier of borrowers.
How to read it Each line is outstanding credit to a selected industry-detail category.
Watch out This is borrower industry, not project quality or profitability.
The industrial long tail
Once infrastructure is separated out, there is no single clean second industrial story. Engineering, chemicals, textiles, food processing, construction, transport equipment and gems and jewellery each form mid-sized credit pockets.
This long tail is useful because it keeps industry from becoming only an infrastructure chart. Industrial borrowing is still a cluster of many activities, some tied to domestic demand, some to exports, some to construction cycles, and some to commodity prices.
Chart
The industrial long tail
Once infrastructure is separated out, industrial credit has many mid-sized borrower clusters rather than one clean second story.
IndiaDataHub/RBI · selected smaller industry categories · old classification through 2018, current from 2019
INR crore
One panel for each line, all on the same scale, ordered by the latest value; the grey lines behind each are the others. The figure at each panel's head is its latest value.
About this chart
The long tail matters because industrial credit is not only mega infrastructure. Engineering, chemicals, textiles, construction, food processing and gems and jewellery each form smaller credit pockets that move differently over time.
How to read it Each line is outstanding credit to a selected mid-sized industry category.
Watch out Compare levels and movement; do not sum parent and child categories.
What changed in the data itself?
This article uses IndiaDataHub as the access layer because it exposes RBI Banking/Credit identifiers directly. The expanded pull fetches all grouped monthly lines found in the probe: 88 line items and 188 series variants, producing 22,531 observations. Many line items have old-classification monthly series from April 2007 and current monthly series from January 2019. The chart builder uses old-classification data through December 2018 and current-classification data from January 2019.
BIS and IMF are added only for macro context. BIS Total Credit and BIS Credit-to-GDP Gaps are quarterly cross-country credit-system datasets. IMF Global Debt Database HH_LS is annual household debt by loans and debt securities as a share of GDP. These sources are excellent for scale, peer comparison and risk context; they are not the source for India's loan-product taxonomy.
That splice is useful, but it is not magic. January 2019 is a taxonomy boundary, not just a month. RBI also notes later format and reporting changes, including a revised format from January 2021, merger effects from July 2023, a gold-loan classification note from May 2024, and a reporting-fortnight definition change from December 31, 2025.
What should a reader take away?
The short version is: India's banks are lending into a different economy than the one implied by the old industry-first shorthand. The credit book now has a large household-facing side, a large services-and-finance side, a policy-shaped priority-sector side, and a still-important industrial-infrastructure side.
That is why the composition matters. A rupee of bank credit can be a home loan, a gold loan, a vehicle loan, a card balance, an NBFC loan, trade finance, commercial real estate credit, an MSE loan, a road project, a power loan or gems-and-jewellery credit. The story changes depending on which line is growing.
Tell me what this means, bro
India is not just borrowing more. It is borrowing through more kinds of credit.
The old mental model was bank lending equals industry. That is too narrow. Banks still finance infrastructure, power, metals and companies, but the faster-moving map is homes, other personal loans, vehicles, cards, gold, NBFCs, trade, real estate, MSEs and priority-sector credit.
Read this as outstanding bank credit: a map of where loans sit on bank balance sheets, not fresh disbursals, default risk, or household stress.॥
Plain English concepts
Outstanding credit
The amount still owed to banks at the reporting date.
Every chart is a stock of credit outstanding, not fresh loans issued that month.
Non-food credit
Bank credit excluding food credit, commonly used for sectoral credit analysis.
The broad buckets in this article are non-food credit categories.
Old classification
RBI/IDH line items before the 2019 sectoral-credit format change.
It extends history back to 2007, but it should not be treated as a perfectly unchanged taxonomy.
Read first
India is not just borrowing more. It is borrowing differently.
The old bank-credit story was industry, projects and infrastructure. The new one has homes, other personal loans, gold, NBFCs, trade, policy lending and still a lot of infrastructure.
This is not a morality tale about Indians suddenly becoming reckless borrowers. It is a map of where credit now sits. The data says the banking system has moved toward household-facing credit and finance-linked services, while industry remains large but more concentrated.
Rs 69.6 lakh crorePersonal loans
Largest selected non-food bank-credit bucket in Apr 2026
Rs 4.9 lakh croreGold loans
Now larger than credit-card outstanding and education loans
45.5% of GDPHousehold credit, all lenders
BIS total-credit context, 2025-Q3
-3.1 percentage pointsCredit gap
Below BIS long-run trend, not above it
The big shift is not simply more debt. It is a different credit map.
RBI/IDH for loan composition; BIS/IMF for the wider credit-system context
Gold is no longer a footnote in the bank book.
Current-classification RBI/IDH personal-loan data
01
The shift
The bank book has moved toward people and services
In 2007, the easy mental model was that bank credit meant industry. By 2026, that model breaks. Personal loans are Rs 69.6 lakh crore, services are Rs 59.5 lakh crore, and industry is Rs 45.4 lakh crore.
Industry still matters. But it is no longer the whole story. The credit map now has a large household-facing side and a large services-and-finance side.
02
Personal credit
Personal loans are not one thing
Housing is still the anchor. But the personal-loan bucket also contains other personal loans, vehicles, gold, cards, education and loans against existing assets.
That matters because each product says something different. A home loan is not a card balance. A gold loan is not an education loan. Treating all of them as one blob hides the real story.
If you say 'personal loans' without opening the box, you miss the article.
03
Gold
Gold moved from cultural asset to visible bank-credit line
Gold loans grew about 20x from January 2019 to April 2026 in the current RBI classification. That does not automatically mean distress. It can also reflect formalisation, gold prices, better reporting and banks becoming more active in this market.
But the size is now impossible to ignore. At Rs 4.9 lakh crore, bank gold-loan outstanding is larger than credit-card outstanding and education loans.
Gold is collateral, liquidity and emergency borrowing capacity. In India, that is not a side note.
04
Beyond banks
The RBI tables show bank books. BIS shows the wider credit system.
RBI/IDH is the right source for Indian loan products. BIS is the right source for the wider credit-system denominator. On the BIS measure, household credit from all sectors was 45.5% of GDP in 2025-Q3.
That does not replace the RBI product split. BIS does not tell us how much of household credit is housing, gold or cards. It tells us the broader scale.
05
Services
Services credit is finance-heavy
Services credit is not just restaurants, hotels and software firms. NBFCs alone had Rs 20.6 lakh crore of outstanding bank credit in April 2026.
That means some bank lending to 'services' may be lending to finance companies that lend onward. The bank table tells you the immediate borrower; it does not always tell you the final user of the money.
06
Industry
Industry is smaller in the broad split, but infrastructure still anchors it
The industrial story is not dead. It is concentrated. Infrastructure credit is Rs 14.9 lakh crore, with power, roads, metals and engineering forming the main industrial credit spine.
So the right reading is not 'India stopped borrowing for industry.' It is: industry is no longer the only credit story, and inside industry the debt-heavy infrastructure lines still dominate.
07
Meaning
The cleaner conclusion
India's credit landscape has changed in composition more than it has become a simple overheating story. The BIS credit-to-GDP gap is negative in the latest data, which argues against calling this a broad credit boom.
The better conclusion is more specific: bank credit has become more personal, more gold-linked, more finance-intermediated, more policy-shaped and still meaningfully infrastructure-heavy.
The long monthly charts splice old-classification series through December 2018 with current-classification series from January 2019; this extends history but is not a perfectly unchanged taxonomy.
Gold loans have current monthly coverage from January 2019 in the IDH probe, but no old-classification monthly pair was found, so gold is charted in the current-classification window.
BIS Total Credit has a household borrower sector for India, but it does not provide a household product breakup for India; housing, gold, cards, vehicles and education remain RBI/IDH product lines.
IMF GDD HH_LS is annual and cross-country. Use it for peer context, not Indian bank-credit composition.
BIS credit-to-GDP gaps are an early-warning/risk lens based on a one-sided HP-filter trend, not a direct forecast or product-level loan measure.
RBI notes matter: January 2019 and January 2021 format changes, July 2023 merger effects, a May 2024 gold-loan classification note, and a December 31, 2025 reporting-fortnight definition change.
These are outstanding credit stocks, not new loans issued during the month.
This is aggregate bank-credit data; it cannot identify borrower income, region, caste, gender, defaults or household repayment stress.
Some industry and services rows are parent-child categories; charts compare selected lines and should not be blindly summed.
Bhuvanesh. “How does India borrow?” This Indian Life, October 2026. https://thisindianlife.today/articles/how-does-india-borrow/
BibTeX
@misc{tilife-howdoesindiaborrow,
author = {Bhuvanesh},
title = {How does India borrow?},
year = {2026},
publisher = {This Indian Life},
url = {https://thisindianlife.today/articles/how-does-india-borrow/}
}
APA
Bhuvanesh. (2026). How does India borrow? This Indian Life. https://thisindianlife.today/articles/how-does-india-borrow/