Value Added (Agriculture, Forestry and Fishing) β Value US$ in Least Developed Countries (LDCs)
Least Developed Countries (LDCs): Value Added (Agriculture, Forestry and Fishing) β Value US$ was 286,880 million USD in 2024. β Volatile
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Least Developed Countries (LDCs), 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) β value us$ in Least Developed Countries (LDCs) stood at 286,880 million USD. That is the highest value across all 55 years on record.
The figure is up 1.1% on the previous year and up 36.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Least Developed Countries (LDCs) peaked at 286,880 million USD in 2024 and was at its lowest, 14,934 million USD, in 1970.
That places Least Developed Countries (LDCs) 7th out of 42 regions with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 24,495 million USD | 14,934 million USD | 37,950 million USD | 10 |
| 1980s | 43,696 million USD | 39,353 million USD | 52,137 million USD | 10 |
| 1990s | 57,505 million USD | 50,961 million USD | 60,584 million USD | 10 |
| 2000s | 88,295 million USD | 56,909 million USD | 145,411 million USD | 10 |
| 2010s | 200,709 million USD | 157,885 million USD | 229,489 million USD | 10 |
| 2020s | 266,536 million USD | 233,601 million USD | 286,880 million USD | 5 |
Countries ranked near Least Developed Countries (LDCs)
More environment data for Least Developed Countries (LDCs)
- Standard Deviation 0.229 Β°C (2025)
- Temperature change 1.29 Β°C (2025)
- Agriculture β Area 836,181 1000 ha (2024)
- Nutrient potash K2O (total) β Use per capita 0.82 kg/cap (2024)
- Nutrient potash K2O (total) β Use per value of agricultural production 3.21 g/Int$ (2024)
- Country area β Area 2.08 million 1000 ha (2024)
- Land area β Area 2.04 million 1000 ha (2024)
- Cropland β Share in Land area 11 % (2024)
- Cropland β Share in Agricultural land 26.79 % (2024)
- Cropland β Area 223,929 1000 ha (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Least Developed Countries (LDCs)?
- Value added (agriculture, forestry and fishing) β value us$ in Least Developed Countries (LDCs) was 286,880 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) β value us$ recorded in Least Developed Countries (LDCs)?
- The highest recorded value was 286,880 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Least Developed Countries (LDCs)?
- The lowest recorded value was 14,934 million USD in 1970.
- How does Least Developed Countries (LDCs) rank for value added (agriculture, forestry and fishing) β value us$?
- Least Developed Countries (LDCs) ranks 7th out of 42 regions with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Least Developed Countries (LDCs)?
- Over the last ten years it is up 36.4%. The long-run trend across the full record is volatile.
- Where does this Least Developed Countries (LDCs) 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) β Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 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).