Value Added (Agriculture, Forestry and Fishing) — Value Standard in Togo
Togo: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.10 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Togo, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Togo recorded 1.10 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 7.6% on the previous year and up 80.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Togo peaked at 1.10 million million SLC in 2024 and was at its lowest, 25,774 million SLC, in 1970.
Togo ranks 49th of 199 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Togo, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 25,774 million SLC | — |
| 1971 | 26,280 million SLC | +2.0% |
| 1972 | 28,102 million SLC | +6.9% |
| 1973 | 27,915 million SLC | -0.7% |
| 1974 | 27,632 million SLC | -1.0% |
| 1975 | 30,086 million SLC | +8.9% |
| 1976 | 34,764 million SLC | +15.5% |
| 1977 | 43,649 million SLC | +25.6% |
| 1978 | 44,577 million SLC | +2.1% |
| 1979 | 55,977 million SLC | +25.6% |
| 1980 | 60,502 million SLC | +8.1% |
| 1981 | 65,883 million SLC | +8.9% |
| 1982 | 65,078 million SLC | -1.2% |
| 1983 | 89,930 million SLC | +38.2% |
| 1984 | 93,863 million SLC | +4.4% |
| 1985 | 103,070 million SLC | +9.8% |
| 1986 | 114,155 million SLC | +10.8% |
| 1987 | 112,367 million SLC | -1.6% |
| 1988 | 123,262 million SLC | +9.7% |
| 1989 | 124,326 million SLC | +0.9% |
| 1990 | 133,780 million SLC | +7.6% |
| 1991 | 132,634 million SLC | -0.9% |
| 1992 | 141,258 million SLC | +6.5% |
| 1993 | 137,831 million SLC | -2.4% |
| 1994 | 170,316 million SLC | +23.6% |
| 1995 | 220,631 million SLC | +29.5% |
| 1996 | 273,666 million SLC | +24.0% |
| 1997 | 329,984 million SLC | +20.6% |
| 1998 | 292,692 million SLC | -11.3% |
| 1999 | 320,388 million SLC | +9.5% |
| 2000 | 289,539 million SLC | -9.6% |
| 2001 | 303,890 million SLC | +5.0% |
| 2002 | 343,959 million SLC | +13.2% |
| 2003 | 330,016 million SLC | -4.1% |
| 2004 | 317,031 million SLC | -3.9% |
| 2005 | 355,134 million SLC | +12.0% |
| 2006 | 326,044 million SLC | -8.2% |
| 2007 | 304,676 million SLC | -6.6% |
| 2008 | 422,354 million SLC | +38.6% |
| 2009 | 474,077 million SLC | +12.2% |
| 2010 | 495,009 million SLC | +4.4% |
| 2011 | 507,613 million SLC | +2.5% |
| 2012 | 579,758 million SLC | +14.2% |
| 2013 | 569,235 million SLC | -1.8% |
| 2014 | 610,478 million SLC | +7.2% |
| 2015 | 643,853 million SLC | +5.5% |
| 2016 | 733,416 million SLC | +13.9% |
| 2017 | 753,457 million SLC | +2.7% |
| 2018 | 767,185 million SLC | +1.8% |
| 2019 | 799,527 million SLC | +4.2% |
| 2020 | 826,116 million SLC | +3.3% |
| 2021 | 863,722 million SLC | +4.6% |
| 2022 | 968,794 million SLC | +12.2% |
| 2023 | 1.03 million million SLC | +5.8% |
| 2024 | 1.10 million million SLC | +7.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 34,476 million SLC | 25,774 million SLC | 55,977 million SLC | 10 |
| 1980s | 95,244 million SLC | 60,502 million SLC | 124,326 million SLC | 10 |
| 1990s | 215,318 million SLC | 132,634 million SLC | 329,984 million SLC | 10 |
| 2000s | 346,672 million SLC | 289,539 million SLC | 474,077 million SLC | 10 |
| 2010s | 645,953 million SLC | 495,009 million SLC | 799,527 million SLC | 10 |
| 2020s | 957,562 million SLC | 826,116 million SLC | 1.10 million million SLC | 5 |
Countries ranked near Togo
More environment data for Togo
- Historical exposure to drought — Land soil moisture anomaly -11.71 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -12.32 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.255 °C (2025)
- Temperature change 1.35 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 18.3 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0016 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -3.2 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Togo?
- Value added (agriculture, forestry and fishing) — value standard in Togo was 1.10 million million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Togo?
- The highest recorded value was 1.10 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Togo?
- The lowest recorded value was 25,774 million SLC in 1970.
- How does Togo rank for value added (agriculture, forestry and fishing) — value standard?
- Togo ranks 49th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Togo?
- Over the last ten years it is up 80.8%. The long-run trend across the full record is volatile.
- Where does this Togo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 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).