Eritrea vs Slovenia: Gross Domestic Product — Value Standard Local Currency, 2015 prices
Gross Domestic Product — Value Standard Local Currency, 2015 prices over time
- Eritrea
- Slovenia
How they compare
Slovenia currently reports 49,916 million SLC against 39,460 million SLC in Eritrea, a difference of 10,456 million SLC.
That makes Slovenia's figure about 1.3 times Eritrea's.
The two have swapped places 2 times across 35 shared years of data; in 1990 it was Slovenia ahead.
Eritrea ranks 141st and Slovenia ranks 138th of 194 countries.
Slovenia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Eritrea | Slovenia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 19,214 million SLC | 24,120 million SLC | 4,906 million SLC | Slovenia |
| 2000s | 24,846 million SLC | 34,206 million SLC | 9,361 million SLC | Slovenia |
| 2010s | 32,367 million SLC | 39,529 million SLC | 7,162 million SLC | Slovenia |
| 2020s | 37,018 million SLC | 47,449 million SLC | 10,432 million SLC | Slovenia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross domestic product — value standard local currency, 2015 prices, Eritrea or Slovenia?
- Slovenia, at 49,916 million SLC against 39,460 million SLC in Eritrea as of 2024.
- What is the difference in gross domestic product — value standard local currency, 2015 prices between Eritrea and Slovenia?
- 10,456 million SLC, with Slovenia ahead.
- How many years of comparable data are there for Eritrea and Slovenia?
- 35 years are reported by both, from 1990 to 2024.
- How do Eritrea and Slovenia rank globally for gross domestic product — value standard local currency, 2015 prices?
- Eritrea ranks 141st and Slovenia ranks 138th 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
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).