Value Added (Agriculture, Forestry and Fishing) β Value US$ in Zimbabwe
Zimbabwe: Value Added (Agriculture, Forestry and Fishing) β Value US$ was 20,101 million USD in 2024. β Volatile
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Zimbabwe, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) β value us$ in Zimbabwe is 20,101 million USD, measured in 2024. That is the highest value across all 55 years on record.
The figure is up 1,511.2% on the previous year and up 1,079.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Zimbabwe peaked at 20,101 million USD in 2024 and was at its lowest, 270.56 million USD, in 1970.
Zimbabwe ranks 40th of 217 countries on this measure, 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 | 545.32 million USD | 270.56 million USD | 715.63 million USD | 10 |
| 1980s | 1,132 million USD | 678.27 million USD | 1,476 million USD | 10 |
| 1990s | 1,530 million USD | 575.27 million USD | 2,318 million USD | 10 |
| 2000s | 1,357 million USD | 683.95 million USD | 2,122 million USD | 10 |
| 2010s | 1,564 million USD | 1,157 million USD | 2,219 million USD | 10 |
| 2020s | 5,455 million USD | 1,248 million USD | 20,101 million USD | 5 |
Countries ranked near Zimbabwe
- 37 Sudan (former) 21,201 million USD compare
- 38 Netherlands (Kingdom of the) 20,623 million USD compare
- 39 United Kingdom of Great Britain and Northern Ireland 20,526 million USD compare
- 41 Peru 17,413 million USD compare
- 42 Ghana 16,090 million USD compare
- 43 Morocco 15,578 million USD compare
More environment data for Zimbabwe
- Standard Deviation 0.311 Β°C (2025)
- Temperature change 1.06 Β°C (2025)
- Recovered paper β Production 70,000 t (2024)
- Total fibre furnish β Production 70,000 t (2024)
- Other paper and paperboard, not elsewhere specified β Import value 4,587 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified β Import quantity 1,177 t (2024)
- Other paper and paperboard β Export value 3,912 1000 USD (2024)
- Other paper and paperboard β Export quantity 5,939 t (2024)
- Other paper and paperboard β Import value 51,126 1000 USD (2024)
- Other paper and paperboard β Import quantity 36,555 t (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Zimbabwe?
- Value added (agriculture, forestry and fishing) β value us$ in Zimbabwe was 20,101 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 Zimbabwe?
- The highest recorded value was 20,101 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Zimbabwe?
- The lowest recorded value was 270.56 million USD in 1970.
- How does Zimbabwe rank for value added (agriculture, forestry and fishing) β value us$?
- Zimbabwe ranks 40th out of 217 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Zimbabwe?
- Over the last ten years it is up 1,079.0%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe 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).