Value Added (Agriculture, Forestry and Fishing) — Value Standard in Rwanda
Rwanda: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4.62 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Rwanda, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Rwanda recorded 4.62 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 4.4% on the previous year and up 232.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Rwanda peaked at 4.62 million million SLC in 2024 and was at its lowest, 13,657 million SLC, in 1970.
That places Rwanda 32nd out of 199 countries 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 | 30,338 million SLC | 13,657 million SLC | 57,405 million SLC | 10 |
| 1980s | 74,580 million SLC | 60,265 million SLC | 92,132 million SLC | 10 |
| 1990s | 143,845 million SLC | 74,961 million SLC | 249,953 million SLC | 10 |
| 2000s | 485,800 million SLC | 251,000 million SLC | 818,000 million SLC | 10 |
| 2010s | 1.51 million million SLC | 868,000 million SLC | 2.19 million million SLC | 10 |
| 2020s | 3.53 million million SLC | 2.56 million million SLC | 4.62 million million SLC | 5 |
Countries ranked near Rwanda
More environment data for Rwanda
- Historical exposure to drought — Land soil moisture anomaly -5.64 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.05 Percentage change (2025)
- Standard Deviation, annual growth rate -31.63 % change on previous year (2013)
- Standard Deviation 0.268 °C (2013)
- Temperature change 1.35 °C (2013)
- Other paper and paperboard, not elsewhere specified — Import 4.92 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0 t per person (2024)
- Exposure to drought — Land soil moisture anomaly -3.77 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -7 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 14.86 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Rwanda?
- Value added (agriculture, forestry and fishing) — value standard in Rwanda was 4.62 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 Rwanda?
- The highest recorded value was 4.62 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Rwanda?
- The lowest recorded value was 13,657 million SLC in 1970.
- How does Rwanda rank for value added (agriculture, forestry and fishing) — value standard?
- Rwanda ranks 32nd out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Rwanda?
- Over the last ten years it is up 232.7%. The long-run trend across the full record is volatile.
- Where does this Rwanda 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).