Value Added (Total Manufacturing) — Value Standard Local Currency in Türkiye

Türkiye: Value Added (Total Manufacturing) — Value Standard Local Currency was 578,214 million SLC in 2023. ◆ Volatile

Latest (2023)
578,214 million SLC
Change on year
up 2.5%
Rank
6th
of 13 groups
All-time high
578,214 million SLC
in 2023
All-time low
32,379 million SLC
in 1970
Years of data
54
1970–2023

Value Added (Total Manufacturing) — Value Standard Local Currency in Türkiye, 1970–2023

0200.0k400.0k600.0k197019962023

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 Türkiye stood at 578,214 million SLC. That is the highest value across all 54 years on record.

Compared with earlier readings it is up 2.5% on the previous year and up 64.8% over ten years.

Over the whole period, value added (total manufacturing) — value standard local currency in Türkiye peaked at 578,214 million SLC in 2023 and was at its lowest, 32,379 million SLC, in 1970.

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 Türkiye, year by year

Annual values for Value Added (Total Manufacturing) — Value Standard Local Currency, 2015 prices in Türkiye, 1970 to 2023.
Year million SLC Change
1970 32,379 million SLC
1971 35,196 million SLC +8.7%
1972 39,033 million SLC +10.9%
1973 44,068 million SLC +12.9%
1974 47,285 million SLC +7.3%
1975 51,399 million SLC +8.7%
1976 56,025 million SLC +9.0%
1977 59,722 million SLC +6.6%
1978 61,634 million SLC +3.2%
1979 57,874 million SLC -6.1%
1980 55,605 million SLC -3.9%
1981 60,854 million SLC +9.4%
1982 64,761 million SLC +6.4%
1983 69,592 million SLC +7.5%
1984 76,030 million SLC +9.3%
1985 80,363 million SLC +5.7%
1986 88,802 million SLC +10.5%
1987 97,735 million SLC +10.1%
1988 99,272 million SLC +1.6%
1989 102,271 million SLC +3.0%
1990 112,172 million SLC +9.7%
1991 114,842 million SLC +2.4%
1992 121,467 million SLC +5.8%
1993 132,759 million SLC +9.3%
1994 122,614 million SLC -7.6%
1995 139,674 million SLC +13.9%
1996 149,608 million SLC +7.1%
1997 166,731 million SLC +11.4%
1998 168,689 million SLC +1.2%
1999 159,246 million SLC -5.6%
2000 171,183 million SLC +7.5%
2001 156,437 million SLC -8.6%
2002 163,316 million SLC +4.4%
2003 179,212 million SLC +9.7%
2004 203,362 million SLC +13.5%
2005 222,731 million SLC +9.5%
2006 244,117 million SLC +9.6%
2007 260,502 million SLC +6.7%
2008 261,700 million SLC +0.5%
2009 238,262 million SLC -9.0%
2010 260,119 million SLC +9.2%
2011 312,750 million SLC +20.2%
2012 319,528 million SLC +2.2%
2013 350,886 million SLC +9.8%
2014 370,579 million SLC +5.6%
2015 392,518 million SLC +5.9%
2016 408,256 million SLC +4.0%
2017 446,084 million SLC +9.3%
2018 452,425 million SLC +1.4%
2019 442,208 million SLC -2.3%
2020 455,552 million SLC +3.0%
2021 540,489 million SLC +18.6%
2022 563,866 million SLC +4.3%
2023 578,214 million SLC +2.5%

Averages by decade

DecadeAverage LowestHighest Years
1970s 48,462 million SLC 32,379 million SLC 61,634 million SLC 10
1980s 79,529 million SLC 55,605 million SLC 102,271 million SLC 10
1990s 138,780 million SLC 112,172 million SLC 168,689 million SLC 10
2000s 210,082 million SLC 156,437 million SLC 261,700 million SLC 10
2010s 375,535 million SLC 260,119 million SLC 452,425 million SLC 10
2020s 534,530 million SLC 455,552 million SLC 578,214 million SLC 4

Countries ranked near Türkiye

  1. 3 Japan 120.47 million million SLC compare
  2. 4 Colombia 117.33 million million SLC compare
  3. 5 Uzbekistan 46.75 million million SLC compare
  4. 6 Cambodia 45.41 million million SLC compare
  5. 7 Paraguay 44.72 million million SLC compare
  6. 8 India 31.02 million million SLC compare
  7. 9 China, mainland 30.03 million million SLC compare

See the full ranking of 210 places →

More economy & growth data for Türkiye

All data for Türkiye →

Frequently asked questions

What is value added (total manufacturing) — value standard local currency in Türkiye?
Value added (total manufacturing) — value standard local currency in Türkiye was 578,214 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 Türkiye?
The highest recorded value was 578,214 million SLC in 2023.
What is the lowest value added (total manufacturing) — value standard local currency recorded in Türkiye?
The lowest recorded value was 32,379 million SLC in 1970.
How does Türkiye rank for value added (total manufacturing) — value standard local currency?
Türkiye ranks 6th out of 13 groups with data for 2023.
Is value added (total manufacturing) — value standard local currency rising or falling in Türkiye?
Over the last ten years it is up 64.8%. The long-run trend across the full record is volatile.
Where does this Türkiye 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.

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Value Added (Total Manufacturing) — Value Standard Local Currency in Türkiye. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://economy.statizoid.com/stat/value-added-total-manufacturing-value-standard-local-currency-2015-prices/turkiye-2/

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About this data

Indicator
Value Added (Total Manufacturing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
210 places, 10,597 data points, 1970–2023
Last refreshed

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).