Germany vs Iceland: Value Added (Agriculture) — Value Standard Local Currency
Value Added (Agriculture) — Value Standard Local Currency over time
- Germany
- Iceland
How they compare
Iceland currently reports 28,390 million SLC against 25,355 million SLC in Germany, a difference of 3,035 million SLC.
That makes Iceland's figure about 1.1 times Germany's.
The two have swapped places 8 times across 27 shared years of data; in 1995 it was Germany ahead.
Germany ranks 38th and Iceland ranks 36th of 79 countries.
Across the 4 decades both report, Germany averaged higher in 3 and Iceland in 1.
Head to head by decade
| Decade | Germany | Iceland | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 17,601 million SLC | 6,354 million SLC | 11,247 million SLC | Germany |
| 2000s | 17,653 million SLC | 10,392 million SLC | 7,261 million SLC | Germany |
| 2010s | 21,938 million SLC | 20,890 million SLC | 1,048 million SLC | Germany |
| 2020s | 24,592 million SLC | 24,875 million SLC | 282.8 million SLC | Iceland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture) — value standard local currency, Germany or Iceland?
- Iceland, at 28,390 million SLC against 25,355 million SLC in Germany as of 2022.
- What is the difference in value added (agriculture) — value standard local currency between Germany and Iceland?
- 3,035 million SLC, with Iceland ahead.
- How many years of comparable data are there for Germany and Iceland?
- 27 years are reported by both, from 1995 to 2021.
- How do Germany and Iceland rank globally for value added (agriculture) — value standard local currency?
- Germany ranks 38th and Iceland ranks 36th of 79 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture) — Value Standard Local Currency. 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).