Value Added (Total Manufacturing) — Ratio of Value Added in Eastern Asia
Eastern Asia: Value Added (Total Manufacturing) — Ratio of Value Added was 4.33 in 2023. ▼ Falling
Value Added (Total Manufacturing) — Ratio of Value Added in Eastern Asia, 2004–2023
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2023, value added (total manufacturing) — ratio of value added in Eastern Asia stood at 4.33.
Compared with earlier readings it is up 0.2% over ten years.
Over the whole period, value added (total manufacturing) — ratio of value added in Eastern Asia peaked at 5.71 in 2005 and was at its lowest, 4.2, in 2020.
That places Eastern Asia 12th out of 29 groups with data for 2023, putting it in the middle of the range.
The long-run direction has been consistently falling across the 20 years of available data.
Value Added (Total Manufacturing) — Ratio of Value Added in Eastern Asia, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 5.45 | — |
| 2005 | 5.71 | +4.8% |
| 2006 | 5.68 | -0.5% |
| 2007 | 5.44 | -4.3% |
| 2008 | 5.05 | -7.1% |
| 2009 | 4.83 | -4.4% |
| 2010 | 5.01 | +3.8% |
| 2011 | 4.82 | -3.8% |
| 2012 | 4.63 | -4.1% |
| 2013 | 4.33 | -6.5% |
| 2014 | 4.5 | +4.1% |
| 2015 | 4.37 | -3.0% |
| 2016 | 4.48 | +2.6% |
| 2017 | 4.73 | +5.6% |
| 2018 | 4.89 | +3.3% |
| 2019 | 4.63 | -5.3% |
| 2020 | 4.2 | -9.4% |
| 2021 | 4.52 | +7.5% |
| 2022 | 4.33 | -4.1% |
| 2023 | 4.33 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 5.36 | 4.83 | 5.71 | 6 |
| 2010s | 4.64 | 4.33 | 5.01 | 10 |
| 2020s | 4.34 | 4.2 | 4.52 | 4 |
Countries ranked near Eastern Asia
- 9 Switzerland 28.54 compare
- 9 Polynesia 1 compare
- 10 Democratic People's Republic of Korea 0.9813 compare
- 10 Germany 22.01 compare
- 11 Denmark 21.09 compare
- 12 Bolivia (Plurinational State of) 0.7564 compare
- 12 British Virgin Islands 20.06 compare
- 13 Japan 19.42 compare
- 14 China, Hong Kong SAR 19.12 compare
- 14 Lao People's Democratic Republic 0.4766 compare
- 15 Republic of Korea 17.91 compare
- 15 Melanesia 0.305 compare
More environment data for Eastern Asia
- Historical exposure to drought — Cropland soil moisture anomaly -2 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.3 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.309 °C (2025)
- Temperature change 1.98 °C (2025)
- Recovered paper — Production 98.06 million t (2024)
- Total fibre furnish — Production 137.56 million t (2024)
- Nutrient nitrogen N (total) — Export quantity 6.03 million t (2024)
- Nutrient nitrogen N (total) — Agricultural Use 25.26 million t (2024)
- Nutrient potash K2O (total) — Agricultural Use 9.16 million t (2024)
Frequently asked questions
- What is value added (total manufacturing) — ratio of value added in Eastern Asia?
- Value added (total manufacturing) — ratio of value added in Eastern Asia was 4.33 in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (total manufacturing) — ratio of value added recorded in Eastern Asia?
- The highest recorded value was 5.71 in 2005.
- What is the lowest value added (total manufacturing) — ratio of value added recorded in Eastern Asia?
- The lowest recorded value was 4.2 in 2020.
- How does Eastern Asia rank for value added (total manufacturing) — ratio of value added?
- Eastern Asia ranks 12th out of 29 groups with data for 2023.
- Is value added (total manufacturing) — ratio of value added rising or falling in Eastern Asia?
- Over the last ten years it is up 0.2%. The long-run trend across the full record is falling.
- Where does this Eastern Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) — Ratio of Value Added (Agriculture, Forestry and Fishing) 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).