Value Added (Total Manufacturing) — Value Standard Local Currency in Rwanda
Rwanda: Value Added (Total Manufacturing) — Value Standard Local Currency was 832,360 million SLC in 2023. ◆ Volatile
Value Added (Total Manufacturing) — Value Standard Local Currency in Rwanda, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, value added (total manufacturing) — value standard local currency in Rwanda stood at 832,360 million SLC. That is the highest value across all 54 years on record.
The figure is up 10.5% on the previous year and up 88.2% over ten years.
Over the whole period, value added (total manufacturing) — value standard local currency in Rwanda peaked at 832,360 million SLC in 2023 and was at its lowest, 59,596 million SLC, in 1970.
Rwanda ranks 41st of 191 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 | 70,392 million SLC | 59,596 million SLC | 84,524 million SLC | 10 |
| 1980s | 127,223 million SLC | 91,618 million SLC | 153,043 million SLC | 10 |
| 1990s | 126,528 million SLC | 63,191 million SLC | 169,212 million SLC | 10 |
| 2000s | 260,183 million SLC | 169,212 million SLC | 337,617 million SLC | 10 |
| 2010s | 450,506 million SLC | 369,042 million SLC | 601,104 million SLC | 10 |
| 2020s | 719,350 million SLC | 613,190 million SLC | 832,360 million SLC | 4 |
Countries ranked near Rwanda
More economy & growth data for Rwanda
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 5.1 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 7.3 Percent per annum (2029)
- Special drawing rights per domestic currency (End-of-period (EoP)) 0.0005 (2025)
- Domestic currency per Special drawing rights (End-of-period (EoP)) 1,990 (2025)
- Domestic currency per US dollar (End-of-period (EoP)) 1,453 (2025)
- US dollar per domestic currency (End-of-period (EoP)) 0.0007 (2025)
- Gdp worldbank constant usd, annual growth rate 9.38 % change on previous year (2025)
- Gdp worldbank constant usd, per unit of GDP 0.9935 units per US$ of GDP (2025)
- Gdp worldbank constant usd, per capita 1,116 units per person (2025)
- Manufacturing value added to gdp, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is value added (total manufacturing) — value standard local currency in Rwanda?
- Value added (total manufacturing) — value standard local currency in Rwanda was 832,360 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (total manufacturing) — value standard local currency recorded in Rwanda?
- The highest recorded value was 832,360 million SLC in 2023.
- What is the lowest value added (total manufacturing) — value standard local currency recorded in Rwanda?
- The lowest recorded value was 59,596 million SLC in 1970.
- How does Rwanda rank for value added (total manufacturing) — value standard local currency?
- Rwanda ranks 41st out of 191 countries with data for 2023.
- Is value added (total manufacturing) — value standard local currency rising or falling in Rwanda?
- Over the last ten years it is up 88.2%. 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 (Total Manufacturing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 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).