Value Added (Total Manufacturing) — Value Standard Local Currency in Malaysia
Malaysia: Value Added (Total Manufacturing) — Value Standard Local Currency was 366,703 million SLC in 2023. ◆ Volatile
Value Added (Total Manufacturing) — Value Standard Local Currency in Malaysia, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, value added (total manufacturing) — value standard local currency in Malaysia stood at 366,703 million SLC. That is the highest value across all 54 years on record.
That represents a change of up 0.7% on the previous year and up 55.4% over ten years.
Over the whole period, value added (total manufacturing) — value standard local currency in Malaysia peaked at 366,703 million SLC in 2023 and was at its lowest, 7,252 million SLC, in 1970.
That places Malaysia 60th out of 194 countries 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 Standard Local Currency in Malaysia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 7,252 million SLC | — |
| 1971 | 8,670 million SLC | +19.6% |
| 1972 | 9,552 million SLC | +10.2% |
| 1973 | 11,703 million SLC | +22.5% |
| 1974 | 12,917 million SLC | +10.4% |
| 1975 | 13,299 million SLC | +3.0% |
| 1976 | 15,758 million SLC | +18.5% |
| 1977 | 17,429 million SLC | +10.6% |
| 1978 | 19,044 million SLC | +9.3% |
| 1979 | 21,202 million SLC | +11.3% |
| 1980 | 23,157 million SLC | +9.2% |
| 1981 | 24,251 million SLC | +4.7% |
| 1982 | 25,618 million SLC | +5.6% |
| 1983 | 27,626 million SLC | +7.8% |
| 1984 | 31,022 million SLC | +12.3% |
| 1985 | 29,836 million SLC | -3.8% |
| 1986 | 32,082 million SLC | +7.5% |
| 1987 | 36,381 million SLC | +13.4% |
| 1988 | 42,784 million SLC | +17.6% |
| 1989 | 48,858 million SLC | +14.2% |
| 1990 | 56,328 million SLC | +15.3% |
| 1991 | 64,213 million SLC | +14.0% |
| 1992 | 68,709 million SLC | +7.0% |
| 1993 | 78,727 million SLC | +14.6% |
| 1994 | 87,682 million SLC | +11.4% |
| 1995 | 97,642 million SLC | +11.4% |
| 1996 | 115,394 million SLC | +18.2% |
| 1997 | 127,068 million SLC | +10.1% |
| 1998 | 110,017 million SLC | -13.4% |
| 1999 | 122,858 million SLC | +11.7% |
| 2000 | 145,359 million SLC | +18.3% |
| 2001 | 139,152 million SLC | -4.3% |
| 2002 | 144,886 million SLC | +4.1% |
| 2003 | 158,162 million SLC | +9.2% |
| 2004 | 173,280 million SLC | +9.6% |
| 2005 | 182,283 million SLC | +5.2% |
| 2006 | 195,826 million SLC | +7.4% |
| 2007 | 201,911 million SLC | +3.1% |
| 2008 | 203,455 million SLC | +0.8% |
| 2009 | 185,200 million SLC | -9.0% |
| 2010 | 207,245 million SLC | +11.9% |
| 2011 | 218,514 million SLC | +5.4% |
| 2012 | 228,161 million SLC | +4.4% |
| 2013 | 235,947 million SLC | +3.4% |
| 2014 | 250,347 million SLC | +6.1% |
| 2015 | 262,379 million SLC | +4.8% |
| 2016 | 273,899 million SLC | +4.4% |
| 2017 | 290,464 million SLC | +6.0% |
| 2018 | 304,843 million SLC | +5.0% |
| 2019 | 316,283 million SLC | +3.8% |
| 2020 | 307,606 million SLC | -2.7% |
| 2021 | 336,839 million SLC | +9.5% |
| 2022 | 364,131 million SLC | +8.1% |
| 2023 | 366,703 million SLC | +0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 13,683 million SLC | 7,252 million SLC | 21,202 million SLC | 10 |
| 1980s | 32,162 million SLC | 23,157 million SLC | 48,858 million SLC | 10 |
| 1990s | 92,864 million SLC | 56,328 million SLC | 127,068 million SLC | 10 |
| 2000s | 172,951 million SLC | 139,152 million SLC | 203,455 million SLC | 10 |
| 2010s | 258,808 million SLC | 207,245 million SLC | 316,283 million SLC | 10 |
| 2020s | 343,820 million SLC | 307,606 million SLC | 366,703 million SLC | 4 |
Countries ranked near Malaysia
More economy & growth data for Malaysia
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 3.04 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 3.97 Percent per annum (2029)
- GNI, Atlas method (current US$), annual growth rate 7.55 % change on previous year (2025)
- GNI, Atlas method (current US$), per unit of GDP 0.9432 current US$ per US$ of GDP (2025)
- GNI, Atlas method (current US$), per capita 12,379 current US$ per person (2025)
- GNI (current US$), annual growth rate 11.82 % change on previous year (2025)
- GNI (current US$), per unit of GDP 0.9657 current US$ per US$ of GDP (2025)
- GNI (current US$), per capita 12,674 current US$ per person (2025)
- GNI (current LCU), annual growth rate 4.68 % change on previous year (2025)
- GNI (current LCU), per unit of GDP 4.14 current LCU per US$ of GDP (2025)
Frequently asked questions
- What is value added (total manufacturing) — value standard local currency in Malaysia?
- Value added (total manufacturing) — value standard local currency in Malaysia was 366,703 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (total manufacturing) — value standard local currency recorded in Malaysia?
- The highest recorded value was 366,703 million SLC in 2023.
- What is the lowest value added (total manufacturing) — value standard local currency recorded in Malaysia?
- The lowest recorded value was 7,252 million SLC in 1970.
- How does Malaysia rank for value added (total manufacturing) — value standard local currency?
- Malaysia ranks 60th out of 194 countries with data for 2023.
- Is value added (total manufacturing) — value standard local currency rising or falling in Malaysia?
- Over the last ten years it is up 55.4%. The long-run trend across the full record is volatile.
- Where does this Malaysia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) — Value Standard Local Currency, 2015 prices. 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).