Economic Policy & Debt · South Asia
South Asia: Industry, including construction, value added (current US$)
Yearly data from 1960 to 2025, from the World Bank.
Economic Policy & Debt · South Asia
Yearly data from 1960 to 2025, from the World Bank.
South Asia's industry, including construction, value added (current US$) was US$1.19 trillion in 2025, the latest year in the World Bank's World Development Indicators. That is up 80.67% from US$657.26 billion in 2015 (6.09% a year on average, compounded).
| Value | Year | |
|---|---|---|
| Latest | US$1.19 trillion | 2025 |
| Five years earlier | US$824.17 billion | 2020 |
| Ten years earlier | US$657.26 billion | 2015 |
| Highest | US$1.19 trillion | 2025 |
| Lowest | US$8.36 billion | 1960 |
| Average since 2016 | US$949.35 billion | 2016–2025 |
| First recorded | US$8.36 billion | 1960 |
Over five years it is up 44.08% from US$824.17 billion in 2020 (7.58% a year on average, compounded). Since 1960 it is up 14,103% from US$8.36 billion in 1960 (7.92% a year on average, compounded).
In 2025, South Asia's industry, including construction, value added (current US$) rose 4.9% on 2024 (from US$1.13 trillion to US$1.19 trillion).
Across the 30 yearly changes before that (1995 to 2024), the average change was +8.6% and a typical year strayed about 8.4% from that (the standard deviation). This year's change was 0.5 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
On record, the biggest yearly rise was 27.9% in 2007 and the biggest yearly fall was 22.4% in 1966. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2016 to 2025 the straight-line trend is upward, about US$49.12 billion a year. A straight line explains 93% of the movement over 10 observed years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
Extending that straight line gives about US$1.32 trillion for 2028. We show this only because the same method, fitted on earlier years, predicted 2023 to 2025 better than "no change" would have: its average miss was US$44.2 billion, against US$114.45 billion for assuming no change. Treat it as a continuation of the recent pattern, not a forecast of events: it cannot see a recession, a policy change or a revision to the data.
See how a linear trend forecast works and the guide on forecasting without fooling yourself.
See how every economy compares in the full ranking.
| Value | Year | |
|---|---|---|
| South Asia | US$1.19 trillion | 2025 |
| World | US$29.57 trillion | 2025 |
Industry (including construction) corresponds to ISIC (Rev.4) divisions 05-43. It is comprised of mining, manufacturing, construction, electricity, water, and gas industries. Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
Limitations: Ideally, industrial output should be measured through regular censuses and surveys of firms. But in most developing countries such surveys are infrequent, so earlier survey results must be extrapolated using an appropriate indicator. The choice of sampling unit, which may be the enterprise (where responses may be based on financial records) or the establishment (where production units may be recorded separately), also affects the quality of the data. Moreover, much industrial production is organized in unincorporated or owner-operated ventures that are not captured by surveys aimed at the formal sector.
Regional and income-group figures are computed by the World Bank as a gap-filled total.
| Year | Industry, including construction, value added (current US$) |
|---|---|
| 2025 | 1,187,475,643,182 |
| 2024 | 1,132,475,505,990 |
| 2023 | 1,073,914,415,141 |
| 2022 | 1,016,842,708,568 |
| 2021 | 1,009,190,765,218 |
| 2020 | 824,171,260,521 |
| 2019 | 844,722,624,486 |
| 2018 | 851,057,197,970 |
| 2017 | 829,091,466,781 |
| 2016 | 724,587,092,725 |
| 2015 | 657,259,588,800 |
| 2014 | 638,805,009,458 |
| 2013 | 594,644,116,420 |
| 2012 | 596,926,979,573 |
| 2011 | 605,680,214,240 |
| 2010 | 563,082,488,226 |
| 2009 | 458,705,086,914 |
| 2008 | 410,725,214,249 |
| 2007 | 407,520,451,157 |
| 2006 | 318,696,356,813 |
| 2005 | 267,613,850,930 |
| 2004 | 229,554,415,576 |
| 2003 | 187,287,813,481 |
| 2002 | 160,903,236,964 |
| 2001 | 146,278,043,341 |
| 2000 | 145,811,234,460 |
| 1999 | 138,716,938,803 |
| 1998 | 131,956,093,958 |
| 1997 | 131,649,617,658 |
| 1996 | 124,591,179,928 |
| 1995 | 116,579,495,687 |
| 1994 | 102,417,843,330 |
| 1993 | 85,920,566,153 |
| 1992 | 87,405,487,895 |
| 1991 | 81,053,232,219 |
| 1990 | 97,298,052,735 |
| 1989 | 89,830,060,321 |
| 1988 | 87,063,104,686 |
| 1987 | 81,682,765,226 |
| 1986 | 73,238,244,296 |
| 1985 | 68,485,064,109 |
| 1984 | 62,770,358,114 |
| 1983 | 62,819,152,893 |
| 1982 | 57,821,443,354 |
| 1981 | 56,091,574,591 |
| 1980 | 52,331,179,892 |
| 1979 | 43,418,941,423 |
| 1978 | 37,640,383,600 |
| 1977 | 32,623,719,466 |
| 1976 | 27,740,860,955 |
| 1975 | 26,267,152,625 |
| 1974 | 25,278,635,307 |
| 1973 | 20,088,913,410 |
| 1972 | 17,132,555,217 |
| 1971 | 16,444,897,929 |
| 1970 | 15,018,467,021 |
| 1969 | 13,849,215,212 |
| 1968 | 12,119,571,310 |
| 1967 | 11,125,103,311 |
| 1966 | 10,861,113,790 |
| 1965 | 13,990,051,363 |
| 1964 | 12,749,476,295 |
| 1963 | 11,342,331,957 |
| 1962 | 10,072,258,821 |
| 1961 | 9,094,518,600 |
| 1960 | 8,360,724,186 |
Every indicator for South Asia is on the South Asia data page.
World Bank, World Development Indicators, indicator NV.IND.TOTL.CD, licensed CC BY 4.0. Original source: Country official statistics, National Statistical Offices (NSOs); National Accounts data files, Central Banks; Staff estimates, World Bank (WB) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
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