Value Added (Manufacture of food and beverages) — Value US$, 2015 in Rwanda
Rwanda: Value Added (Manufacture of food and beverages) — Value US$, 2015 was 603.12 million USD in 2022. ▲ Rising
Value Added (Manufacture of food and beverages) — Value US$, 2015 in Rwanda, 2014–2022
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (manufacture of food and beverages) — value us$, 2015 in Rwanda is 603.12 million USD, measured in 2022. That is the highest value across all 9 years on record.
Compared with earlier readings it is up 10.3% on the previous year and up 91.2% over ten years.
Over the whole period, value added (manufacture of food and beverages) — value us$, 2015 in Rwanda peaked at 603.12 million USD in 2022 and was at its lowest, 315.36 million USD, in 2014.
Rwanda ranks 35th of 44 countries on this measure, in the bottom quarter.
Value Added (Manufacture of food and beverages) — Value US$, 2015 in Rwanda, year by year
| Year | million USD | Change |
|---|---|---|
| 2014 | 315.36 million USD | — |
| 2015 | 353.71 million USD | +12.2% |
| 2016 | 372.92 million USD | +5.4% |
| 2017 | 407.27 million USD | +9.2% |
| 2018 | 431.91 million USD | +6.1% |
| 2019 | 467.63 million USD | +8.3% |
| 2020 | 502.14 million USD | +7.4% |
| 2021 | 546.95 million USD | +8.9% |
| 2022 | 603.12 million USD | +10.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 391.47 million USD | 315.36 million USD | 467.63 million USD | 6 |
| 2020s | 550.74 million USD | 502.14 million USD | 603.12 million USD | 3 |
Countries ranked near Rwanda
More agriculture & rural data for Rwanda
- Agriculture, forestry, and fishing, value added (current US$), annual 5.79 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.203 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 228.16 current US$ per person (2025)
- Rural population, annual growth rate 0.6953 % change on previous year (2025)
- Rural population, per unit of GDP 0.0006 units per US$ of GDP (2025)
- Rural population, per capita 0.6909 units per person (2025)
- Share of GDP from agriculture 20.3% (2025)
- Agriculture as a share of GDP vs. GDP per capita 20.3% (2025)
- Agricultural raw materials exports 0.8% (2022)
- Agricultural raw materials imports 0.9% (2022)
Frequently asked questions
- What is value added (manufacture of food and beverages) — value us$, 2015 in Rwanda?
- Value added (manufacture of food and beverages) — value us$, 2015 in Rwanda was 603.12 million USD in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (manufacture of food and beverages) — value us$, 2015 recorded in Rwanda?
- The highest recorded value was 603.12 million USD in 2022.
- What is the lowest value added (manufacture of food and beverages) — value us$, 2015 recorded in Rwanda?
- The lowest recorded value was 315.36 million USD in 2014.
- How does Rwanda rank for value added (manufacture of food and beverages) — value us$, 2015?
- Rwanda ranks 35th out of 44 countries with data for 2022.
- Is value added (manufacture of food and beverages) — value us$, 2015 rising or falling in Rwanda?
- Over the last ten years it is up 91.2%. The long-run trend across the full record is rising.
- 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 (Manufacture of food and beverages) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).