Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ in South Sudan
South Sudan: Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ was 1.67 % in 2024. ▼ Falling
Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ in South Sudan, 2008–2024
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
South Sudan recorded 1.67 % for value added (agriculture, forestry and fishing) — share of gdp us$ in 2024.
The figure is down 39.3% on the previous year and down 65.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — share of gdp us$ in South Sudan peaked at 5.96 % in 2020 and was at its lowest, 1.6 %, in 2022.
That places South Sudan 158th out of 200 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 17 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ in South Sudan, year by year
| Year | % | Change |
|---|---|---|
| 2008 | 3.84 % | — |
| 2009 | 5.13 % | +33.6% |
| 2010 | 5.03 % | -1.9% |
| 2011 | 4.5 % | -10.7% |
| 2012 | 4.04 % | -10.1% |
| 2013 | 4.68 % | +15.9% |
| 2014 | 4.85 % | +3.6% |
| 2015 | 4.1 % | -15.4% |
| 2016 | 3.89 % | -5.2% |
| 2017 | 2.9 % | -25.4% |
| 2018 | 2.74 % | -5.3% |
| 2019 | 3.67 % | +33.7% |
| 2020 | 5.96 % | +62.3% |
| 2021 | 3.22 % | -46.0% |
| 2022 | 1.6 % | -50.1% |
| 2023 | 2.75 % | +71.3% |
| 2024 | 1.67 % | -39.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4.49 % | 3.84 % | 5.13 % | 2 |
| 2010s | 4.04 % | 2.74 % | 5.03 % | 10 |
| 2020s | 3.04 % | 1.6 % | 5.96 % | 5 |
Countries ranked near South Sudan
More environment data for South Sudan
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -17.71 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -18.33 Percentage change (2025)
- Standard Deviation 0.283 °C (2025)
- Temperature change 1.92 °C (2025)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth US$ -9.78 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 468,790 million SLC (2024)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth US$ 70.33 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth -9.78 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth 10.41 % (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — share of gdp us$ in South Sudan?
- Value added (agriculture, forestry and fishing) — share of gdp us$ in South Sudan was 1.67 % in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — share of gdp us$ recorded in South Sudan?
- The highest recorded value was 5.96 % in 2020.
- What is the lowest value added (agriculture, forestry and fishing) — share of gdp us$ recorded in South Sudan?
- The lowest recorded value was 1.6 % in 2022.
- How does South Sudan rank for value added (agriculture, forestry and fishing) — share of gdp us$?
- South Sudan ranks 158th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — share of gdp us$ rising or falling in South Sudan?
- Over the last ten years it is down 65.6%. The long-run trend across the full record is falling.
- Where does this South Sudan 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) — Share of GDP US$. Statizoid updates them automatically from the source API.
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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).