Bhutan vs Denmark: Value Added (Agriculture) — Value Standard Local Currency
Value Added (Agriculture) — Value Standard Local Currency over time
- Bhutan
- Denmark
How they compare
Bhutan currently reports 27,548 million SLC against 17,157 million SLC in Denmark, a difference of 10,391 million SLC.
That makes Bhutan's figure about 1.6 times Denmark's.
The two have swapped places 3 times across 5 shared years of data; in 2017 it was Denmark ahead.
Bhutan ranks 37th and Denmark ranks 39th of 79 countries.
Across the 2 decades both report, Bhutan averaged higher in 1 and Denmark in 1.
Head to head by decade
| Decade | Bhutan | Denmark | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 19,020 million SLC | 21,966 million SLC | 2,946 million SLC | Denmark |
| 2020s | 25,335 million SLC | 22,356 million SLC | 2,979 million SLC | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture) — value standard local currency, Bhutan or Denmark?
- Bhutan, at 27,548 million SLC against 17,157 million SLC in Denmark as of 2022.
- What is the difference in value added (agriculture) — value standard local currency between Bhutan and Denmark?
- 10,391 million SLC, with Bhutan ahead.
- How many years of comparable data are there for Bhutan and Denmark?
- 5 years are reported by both, from 2017 to 2021.
- How do Bhutan and Denmark rank globally for value added (agriculture) — value standard local currency?
- Bhutan ranks 37th and Denmark ranks 39th 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).