Gross National Income — Value US$ in South-Eastern Asia
South-Eastern Asia: Gross National Income — Value US$ was 3.67 million million USD in 2023. ◆ Volatile
Gross National Income — Value US$ in South-Eastern Asia, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for gross national income — value us$ in South-Eastern Asia is 3.67 million million USD, measured in 2023. That is the highest value across all 54 years on record.
The figure is up 4.4% on the previous year and up 46.7% over ten years.
Over the whole period, gross national income — value us$ in South-Eastern Asia peaked at 3.67 million million USD in 2023 and was at its lowest, 37,520 million USD, in 1970.
That places South-Eastern Asia 15th out of 29 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.
Gross National Income — Value US$ in South-Eastern Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 37,520 million USD | — |
| 1971 | 40,145 million USD | +7.0% |
| 1972 | 44,902 million USD | +11.8% |
| 1973 | 60,589 million USD | +34.9% |
| 1974 | 82,841 million USD | +36.7% |
| 1975 | 91,340 million USD | +10.3% |
| 1976 | 107,237 million USD | +17.4% |
| 1977 | 126,330 million USD | +17.8% |
| 1978 | 146,664 million USD | +16.1% |
| 1979 | 163,961 million USD | +11.8% |
| 1980 | 201,792 million USD | +23.1% |
| 1981 | 232,092 million USD | +15.0% |
| 1982 | 241,556 million USD | +4.1% |
| 1983 | 235,629 million USD | -2.5% |
| 1984 | 243,844 million USD | +3.5% |
| 1985 | 236,284 million USD | -3.1% |
| 1986 | 225,342 million USD | -4.6% |
| 1987 | 239,279 million USD | +6.2% |
| 1988 | 278,994 million USD | +16.6% |
| 1989 | 319,265 million USD | +14.4% |
| 1990 | 363,478 million USD | +13.8% |
| 1991 | 406,296 million USD | +11.8% |
| 1992 | 462,476 million USD | +13.8% |
| 1993 | 518,571 million USD | +12.1% |
| 1994 | 596,874 million USD | +15.1% |
| 1995 | 694,466 million USD | +16.4% |
| 1996 | 773,774 million USD | +11.4% |
| 1997 | 734,514 million USD | -5.1% |
| 1998 | 493,216 million USD | -32.9% |
| 1999 | 572,772 million USD | +16.1% |
| 2000 | 612,051 million USD | +6.9% |
| 2001 | 596,086 million USD | -2.6% |
| 2002 | 667,609 million USD | +12.0% |
| 2003 | 744,089 million USD | +11.5% |
| 2004 | 827,938 million USD | +11.3% |
| 2005 | 934,562 million USD | +12.9% |
| 2006 | 1.13 million million USD | +21.2% |
| 2007 | 1.36 million million USD | +20.0% |
| 2008 | 1.58 million million USD | +16.6% |
| 2009 | 1.59 million million USD | +0.5% |
| 2010 | 1.98 million million USD | +24.7% |
| 2011 | 2.30 million million USD | +15.9% |
| 2012 | 2.43 million million USD | +5.5% |
| 2013 | 2.50 million million USD | +3.1% |
| 2014 | 2.53 million million USD | +1.4% |
| 2015 | 2.47 million million USD | -2.4% |
| 2016 | 2.60 million million USD | +5.1% |
| 2017 | 2.80 million million USD | +7.6% |
| 2018 | 2.98 million million USD | +6.5% |
| 2019 | 3.17 million million USD | +6.3% |
| 2020 | 3.01 million million USD | -4.8% |
| 2021 | 3.29 million million USD | +9.3% |
| 2022 | 3.51 million million USD | +6.6% |
| 2023 | 3.67 million million USD | +4.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 90,153 million USD | 37,520 million USD | 163,961 million USD | 10 |
| 1980s | 245,408 million USD | 201,792 million USD | 319,265 million USD | 10 |
| 1990s | 561,644 million USD | 363,478 million USD | 773,774 million USD | 10 |
| 2000s | 1.00 million million USD | 596,086 million USD | 1.59 million million USD | 10 |
| 2010s | 2.58 million million USD | 1.98 million million USD | 3.17 million million USD | 10 |
| 2020s | 3.37 million million USD | 3.01 million million USD | 3.67 million million USD | 4 |
Countries ranked near South-Eastern Asia
- 12 Republic of Korea 1.87 million million USD compare
- 13 Mexico 1.75 million million USD compare
- 14 Australia 1.72 million million USD compare
- 15 Spain 1.60 million million USD compare
- 16 Indonesia 1.34 million million USD compare
- 17 Netherlands (Kingdom of the) 1.14 million million USD compare
- 18 Saudi Arabia 1.08 million million USD compare
More economy & growth data for South-Eastern Asia
- Gross Domestic Product — Value US$ 3.92 million million USD (2024)
- Gross Domestic Product — Annual growth US$ per capita 2.72 % (2024)
- Gross Domestic Product — Annual growth US$ 3.47 % (2024)
- Gross Domestic Product — Value US$, 2015 prices 3.55 million million USD (2024)
- Gross Domestic Product — Value US$ per capita, 2015 prices 5,103 USD (2024)
- Gross Domestic Product — Value US$ per capita 5,643 USD (2024)
- Gross Fixed Capital Formation — Share of GDP US$, 2015 prices 27.24 % (2024)
- Gross Fixed Capital Formation — Annual growth US$ 2.46 % (2024)
- Gross Fixed Capital Formation — Annual growth US$, 2015 prices 4.58 % (2024)
- Gross Fixed Capital Formation — Value US$, 2015 prices 966,374 million USD (2024)
Frequently asked questions
- What is gross national income — value us$ in South-Eastern Asia?
- Gross national income — value us$ in South-Eastern Asia was 3.67 million million USD in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross national income — value us$ recorded in South-Eastern Asia?
- The highest recorded value was 3.67 million million USD in 2023.
- What is the lowest gross national income — value us$ recorded in South-Eastern Asia?
- The lowest recorded value was 37,520 million USD in 1970.
- How does South-Eastern Asia rank for gross national income — value us$?
- South-Eastern Asia ranks 15th out of 29 groups with data for 2023.
- Is gross national income — value us$ rising or falling in South-Eastern Asia?
- Over the last ten years it is up 46.7%. The long-run trend across the full record is volatile.
- Where does this South-Eastern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross National Income — Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).