El Salvador vs Slovakia: Value Added (Agriculture) — Value US$
Value Added (Agriculture) — Value US$ over time
- El Salvador
- Slovakia
How they compare
Slovakia currently reports 1,371 million USD against 1,232 million USD in El Salvador, a difference of 139 million USD.
That makes Slovakia's figure about 1.1 times El Salvador's.
The two have swapped places 5 times across 12 shared years of data; in 2010 it was El Salvador ahead.
El Salvador ranks 60th and Slovakia ranks 58th of 85 countries.
Slovakia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | El Salvador | Slovakia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1,190 million USD | 1,244 million USD | 54.79 million USD | Slovakia |
| 2020s | 1,203 million USD | 1,275 million USD | 71.41 million USD | Slovakia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture) — value us$, El Salvador or Slovakia?
- Slovakia, at 1,371 million USD against 1,232 million USD in El Salvador as of 2022.
- What is the difference in value added (agriculture) — value us$ between El Salvador and Slovakia?
- 139 million USD, with Slovakia ahead.
- How many years of comparable data are there for El Salvador and Slovakia?
- 12 years are reported by both, from 2010 to 2021.
- How do El Salvador and Slovakia rank globally for value added (agriculture) — value us$?
- El Salvador ranks 60th and Slovakia ranks 58th of 85 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture) — Value US$. 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).