Central African Republic vs Romania: Gross Domestic Product — Value Standard Local Currency, 2015 prices

Central African Republic
1.23 million million SLC
in 2024
Romania
954,316 million SLC
in 2024
Central African Republic rank
81st
Romania rank
84th

Gross Domestic Product — Value Standard Local Currency, 2015 prices over time

  • Central African Republic
  • Romania
0500.0k1.0M1.5M197019972024

How they compare

Central African Republic currently reports 1.23 million million SLC against 954,316 million SLC in Romania, a difference of 277,754 million SLC.

That makes Central African Republic's figure about 1.3 times Romania's.

Across all 55 years both countries report, Central African Republic has been ahead every year.

Central African Republic ranks 81st and Romania ranks 84th of 194 countries.

Central African Republic has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Central African Republic Romania Difference Ahead
1970s 861,658 million SLC 292,757 million SLC 568,901 million SLC Central African Republic
1980s 925,620 million SLC 486,285 million SLC 439,335 million SLC Central African Republic
1990s 1.02 million million SLC 405,500 million SLC 611,312 million SLC Central African Republic
2000s 1.19 million million SLC 536,484 million SLC 656,441 million SLC Central African Republic
2010s 1.17 million million SLC 724,085 million SLC 447,012 million SLC Central African Republic
2020s 1.21 million million SLC 911,373 million SLC 294,735 million SLC Central African Republic

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gross domestic product — value standard local currency, 2015 prices, Central African Republic or Romania?
Central African Republic, at 1.23 million million SLC against 954,316 million SLC in Romania as of 2024.
What is the difference in gross domestic product — value standard local currency, 2015 prices between Central African Republic and Romania?
277,754 million SLC, with Central African Republic ahead.
How many years of comparable data are there for Central African Republic and Romania?
55 years are reported by both, from 1970 to 2024.
How do Central African Republic and Romania rank globally for gross domestic product — value standard local currency, 2015 prices?
Central African Republic ranks 81st and Romania ranks 84th of 194 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gross Domestic Product — Value Standard Local Currency, 2015 prices. 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

Central African Republic vs Romania: Gross Domestic Product — Value Standard Local Currency, 2015 prices. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 September 2026, from https://economy.statizoid.com/compare/gross-domestic-product-value-standard-local-currency-2015-prices/central-african-republic/romania/

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-2015-prices/central-african-republic/romania/">Central African Republic vs Romania: Gross Domestic Product — Value Standard Local Currency, 2015 prices</a> — Statizoid

About this data

Indicator
Gross Domestic Product — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
210 places, 10,849 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).