Gross National Income — Value Standard Local Currency in Rwanda

Rwanda: Gross National Income — Value Standard Local Currency was 16.03 million million SLC in 2023. ◆ Volatile

Latest (2023)
16.03 million million SLC
Change on year
up 19.4%
World rank
36th
of 202 countries
All-time high
16.03 million million SLC
in 2023
All-time low
22,791 million SLC
in 1970
Years of data
54
1970–2023

Gross National Income — Value Standard Local Currency in Rwanda, 1970–2023

05.0M10.0M15.0M197019962023

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2023, gross national income — value standard local currency in Rwanda stood at 16.03 million million SLC. That is the highest value across all 54 years on record.

The figure is up 19.4% on the previous year and up 222.4% over ten years.

Over the whole period, gross national income — value standard local currency in Rwanda peaked at 16.03 million million SLC in 2023 and was at its lowest, 22,791 million SLC, in 1970.

Rwanda ranks 36th of 202 countries on this measure, in the top quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Gross National Income — Value Standard Local Currency in Rwanda, year by year

Annual values for Gross National Income — Value Standard Local Currency in Rwanda, 1970 to 2023.
Year million SLC Change
1970 22,791 million SLC
1971 27,303 million SLC +19.8%
1972 28,392 million SLC +4.0%
1973 31,800 million SLC +12.0%
1974 46,208 million SLC +45.3%
1975 55,747 million SLC +20.6%
1976 65,341 million SLC +17.2%
1977 75,886 million SLC +16.1%
1978 85,132 million SLC +12.2%
1979 101,647 million SLC +19.4%
1980 114,252 million SLC +12.4%
1981 130,546 million SLC +14.3%
1982 137,033 million SLC +5.0%
1983 148,328 million SLC +8.2%
1984 165,562 million SLC +11.6%
1985 181,654 million SLC +9.7%
1986 175,029 million SLC -3.6%
1987 178,231 million SLC +1.8%
1988 184,212 million SLC +3.4%
1989 198,634 million SLC +7.8%
1990 202,868 million SLC +2.1%
1991 225,564 million SLC +11.2%
1992 255,165 million SLC +13.1%
1993 265,398 million SLC +4.0%
1994 159,775 million SLC -39.8%
1995 323,872 million SLC +102.7%
1996 421,987 million SLC +30.3%
1997 582,899 million SLC +38.1%
1998 676,810 million SLC +16.1%
1999 717,000 million SLC +5.9%
2000 800,000 million SLC +11.6%
2001 861,000 million SLC +7.6%
2002 925,000 million SLC +7.4%
2003 1.13 million million SLC +22.5%
2004 1.35 million million SLC +19.4%
2005 1.62 million million SLC +19.8%
2006 1.81 million million SLC +12.0%
2007 2.22 million million SLC +22.1%
2008 2.81 million million SLC +26.9%
2009 3.20 million million SLC +13.9%
2010 3.54 million million SLC +10.5%
2011 4.10 million million SLC +15.7%
2012 4.64 million million SLC +13.2%
2013 4.97 million million SLC +7.2%
2014 5.49 million million SLC +10.5%
2015 6.03 million million SLC +9.8%
2016 6.66 million million SLC +10.3%
2017 7.45 million million SLC +11.9%
2018 8.00 million million SLC +7.4%
2019 8.99 million million SLC +12.4%
2020 9.37 million million SLC +4.2%
2021 10.72 million million SLC +14.4%
2022 13.43 million million SLC +25.3%
2023 16.03 million million SLC +19.4%

Averages by decade

DecadeAverage LowestHighest Years
1970s 54,025 million SLC 22,791 million SLC 101,647 million SLC 10
1980s 161,348 million SLC 114,252 million SLC 198,634 million SLC 10
1990s 383,134 million SLC 159,775 million SLC 717,000 million SLC 10
2000s 1.67 million million SLC 800,000 million SLC 3.20 million million SLC 10
2010s 5.99 million million SLC 3.54 million million SLC 8.99 million million SLC 10
2020s 12.39 million million SLC 9.37 million million SLC 16.03 million million SLC 4

Countries ranked near Rwanda

  1. 33 Sri Lanka 26.73 million million SLC compare
  2. 34 Senegal 18.23 million million SLC compare
  3. 35 Thailand 17.41 million million SLC compare
  4. 37 South Sudan 14.94 million million SLC compare
  5. 38 Kenya 14.85 million million SLC compare
  6. 39 Malawi 14.29 million million SLC compare

See the full ranking of 218 places →

More economy & growth data for Rwanda

All data for Rwanda →

Frequently asked questions

What is gross national income — value standard local currency in Rwanda?
Gross national income — value standard local currency in Rwanda was 16.03 million million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross national income — value standard local currency recorded in Rwanda?
The highest recorded value was 16.03 million million SLC in 2023.
What is the lowest gross national income — value standard local currency recorded in Rwanda?
The lowest recorded value was 22,791 million SLC in 1970.
How does Rwanda rank for gross national income — value standard local currency?
Rwanda ranks 36th out of 202 countries with data for 2023.
Is gross national income — value standard local currency rising or falling in Rwanda?
Over the last ten years it is up 222.4%. 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 Gross National Income — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross National Income — Value Standard Local Currency in Rwanda. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://economy.statizoid.com/stat/gross-national-income-value-standard-local-currency/rwanda/

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About this data

Indicator
Gross National Income — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
218 places, 10,840 data points, 1970–2023
Last refreshed

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).