Democratic Republic of the Congo vs Myanmar: Gross Domestic Product — Value Standard Local Currency

Democratic Republic of the Congo
197.86 million million SLC
in 2024
Myanmar
151.04 million million SLC
in 2024
Democratic Republic of the Congo rank
21st
Myanmar rank
24th

Gross Domestic Product — Value Standard Local Currency over time

  • Democratic Republic of the Congo
  • Myanmar
050.0M100.0M150.0M200.0M197019972024

How they compare

Democratic Republic of the Congo currently reports 197.86 million million SLC against 151.04 million million SLC in Myanmar, a difference of 46.82 million million SLC.

That makes Democratic Republic of the Congo's figure about 1.3 times Myanmar's.

The two have swapped places 1 time across 55 shared years of data; in 1970 it was Myanmar ahead.

Democratic Republic of the Congo ranks 21st and Myanmar ranks 24th of 218 countries.

Across the 6 decades both report, Democratic Republic of the Congo averaged higher in 1 and Myanmar in 5.

Head to head by decade

Decade Democratic Republic of the Congo Myanmar Difference Ahead
1970s 0 million SLC 22,328 million SLC 22,328 million SLC Myanmar
1980s 0 million SLC 61,634 million SLC 61,634 million SLC Myanmar
1990s 11,570 million SLC 772,759 million SLC 761,189 million SLC Myanmar
2000s 6.07 million million SLC 14.41 million million SLC 8.34 million million SLC Myanmar
2010s 41.90 million million SLC 70.76 million million SLC 28.86 million million SLC Myanmar
2020s 134.76 million million SLC 127.29 million million SLC 7.47 million million SLC Democratic Republic of the Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gross domestic product — value standard local currency, Democratic Republic of the Congo or Myanmar?
Democratic Republic of the Congo, at 197.86 million million SLC against 151.04 million million SLC in Myanmar as of 2024.
What is the difference in gross domestic product — value standard local currency between Democratic Republic of the Congo and Myanmar?
46.82 million million SLC, with Democratic Republic of the Congo ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Myanmar?
55 years are reported by both, from 1970 to 2024.
How do Democratic Republic of the Congo and Myanmar rank globally for gross domestic product — value standard local currency?
Democratic Republic of the Congo ranks 21st and Myanmar ranks 24th of 218 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gross Domestic Product — Value Standard Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Democratic Republic of the Congo vs Myanmar: Gross Domestic Product — Value Standard Local Currency. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://economy.statizoid.com/compare/gross-domestic-product-value-standard-local-currency/democratic-republic-of-the-congo/myanmar/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://economy.statizoid.com/compare/gross-domestic-product-value-standard-local-currency/democratic-republic-of-the-congo/myanmar/">Democratic Republic of the Congo vs Myanmar: Gross Domestic Product — Value Standard Local Currency</a> — Statizoid

About this data

Indicator
Gross Domestic Product — 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, 11,049 data points, 1970–2024
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).