Value Added (Total Manufacturing) — Value US$ in Southern Asia
Southern Asia: Value Added (Total Manufacturing) — Value US$ was 709,793 million USD in 2023. ◆ Volatile
Value Added (Total Manufacturing) — Value US$ in Southern Asia, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2023, value added (total manufacturing) — value us$ in Southern Asia stood at 709,793 million USD. That is the highest value across all 54 years on record.
That represents a change of up 3.3% on the previous year and up 52.7% over ten years.
Over the whole period, value added (total manufacturing) — value us$ in Southern Asia peaked at 709,793 million USD in 2023 and was at its lowest, 12,695 million USD, in 1970.
That places Southern Asia 11th out of 30 groups with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Total Manufacturing) — Value US$ in Southern Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 12,695 million USD | — |
| 1971 | 14,038 million USD | +10.6% |
| 1972 | 14,629 million USD | +4.2% |
| 1973 | 18,116 million USD | +23.8% |
| 1974 | 22,942 million USD | +26.6% |
| 1975 | 24,299 million USD | +5.9% |
| 1976 | 27,034 million USD | +11.3% |
| 1977 | 31,197 million USD | +15.4% |
| 1978 | 35,230 million USD | +12.9% |
| 1979 | 39,324 million USD | +11.6% |
| 1980 | 47,182 million USD | +20.0% |
| 1981 | 50,730 million USD | +7.5% |
| 1982 | 53,015 million USD | +4.5% |
| 1983 | 58,035 million USD | +9.5% |
| 1984 | 60,417 million USD | +4.1% |
| 1985 | 52,489 million USD | -13.1% |
| 1986 | 55,846 million USD | +6.4% |
| 1987 | 63,221 million USD | +13.2% |
| 1988 | 70,178 million USD | +11.0% |
| 1989 | 72,530 million USD | +3.4% |
| 1990 | 81,646 million USD | +12.6% |
| 1991 | 75,709 million USD | -7.3% |
| 1992 | 77,987 million USD | +3.0% |
| 1993 | 75,737 million USD | -2.9% |
| 1994 | 87,896 million USD | +16.1% |
| 1995 | 100,905 million USD | +14.8% |
| 1996 | 106,892 million USD | +5.9% |
| 1997 | 109,340 million USD | +2.3% |
| 1998 | 105,978 million USD | -3.1% |
| 1999 | 107,349 million USD | +1.3% |
| 2000 | 112,535 million USD | +4.8% |
| 2001 | 115,555 million USD | +2.7% |
| 2002 | 121,927 million USD | +5.5% |
| 2003 | 138,194 million USD | +13.3% |
| 2004 | 169,352 million USD | +22.5% |
| 2005 | 199,805 million USD | +18.0% |
| 2006 | 243,470 million USD | +21.9% |
| 2007 | 293,948 million USD | +20.7% |
| 2008 | 327,053 million USD | +11.3% |
| 2009 | 342,124 million USD | +4.6% |
| 2010 | 419,536 million USD | +22.6% |
| 2011 | 461,105 million USD | +9.9% |
| 2012 | 475,328 million USD | +3.1% |
| 2013 | 464,825 million USD | -2.2% |
| 2014 | 473,370 million USD | +1.8% |
| 2015 | 488,258 million USD | +3.1% |
| 2016 | 512,749 million USD | +5.0% |
| 2017 | 576,057 million USD | +12.3% |
| 2018 | 581,228 million USD | +0.9% |
| 2019 | 569,682 million USD | -2.0% |
| 2020 | 574,869 million USD | +0.9% |
| 2021 | 683,216 million USD | +18.8% |
| 2022 | 686,867 million USD | +0.5% |
| 2023 | 709,793 million USD | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 23,950 million USD | 12,695 million USD | 39,324 million USD | 10 |
| 1980s | 58,364 million USD | 47,182 million USD | 72,530 million USD | 10 |
| 1990s | 92,944 million USD | 75,709 million USD | 109,340 million USD | 10 |
| 2000s | 206,396 million USD | 112,535 million USD | 342,124 million USD | 10 |
| 2010s | 502,214 million USD | 419,536 million USD | 581,228 million USD | 10 |
| 2020s | 663,686 million USD | 574,869 million USD | 709,793 million USD | 4 |
Countries ranked near Southern Asia
- 8 Italy 353,622 million USD compare
- 9 France 296,997 million USD compare
- 10 Brazil 290,394 million USD compare
- 11 United Kingdom of Great Britain and Northern Ireland 279,780 million USD compare
- 11 United Kingdom 279,780 million USD compare
- 13 Russian Federation 259,894 million USD compare
- 13 Russia 259,894 million USD compare
More economy & growth data for Southern Asia
- Gross Domestic Product, GDP in millions constant 2021 international $ 22.60 million (2027)
- Gross Fixed Capital Formation — Value US$ 1.55 million million USD (2024)
- Gross Domestic Product — Annual growth US$ 9.45 % (2024)
- Gross Domestic Product — Annual growth US$ per capita 8.34 % (2024)
- Gross Domestic Product — Annual growth US$, 2015 prices 5.58 % (2024)
- Gross Domestic Product — Annual growth US$ per capita, 2015 prices 4.51 % (2024)
- Gross Fixed Capital Formation — Annual growth US$, 2015 prices 5.42 % (2024)
- Gross Fixed Capital Formation — Share of GDP US$, 2015 prices 28.95 % (2024)
- Gross Fixed Capital Formation — Annual growth US$ 6.03 % (2024)
- Gross Fixed Capital Formation — Value US$, 2015 prices, annual growth 5.42 % change on previous year (2024)
Frequently asked questions
- What is value added (total manufacturing) — value us$ in Southern Asia?
- Value added (total manufacturing) — value us$ in Southern Asia was 709,793 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (total manufacturing) — value us$ recorded in Southern Asia?
- The highest recorded value was 709,793 million USD in 2023.
- What is the lowest value added (total manufacturing) — value us$ recorded in Southern Asia?
- The lowest recorded value was 12,695 million USD in 1970.
- How does Southern Asia rank for value added (total manufacturing) — value us$?
- Southern Asia ranks 11th out of 30 groups with data for 2023.
- Is value added (total manufacturing) — value us$ rising or falling in Southern Asia?
- Over the last ten years it is up 52.7%. The long-run trend across the full record is volatile.
- Where does this Southern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) — Value US$. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).