Value Added (Total Manufacturing) — Value Standard Local Currency in Denmark

Denmark: Value Added (Total Manufacturing) — Value Standard Local Currency was 447,609 million SLC in 2023. ◆ Volatile

Latest (2023)
447,609 million SLC
Change on year
up 22.6%
World rank
71st
of 215 countries
All-time high
447,609 million SLC
in 2023
All-time low
21,617 million SLC
in 1970
Years of data
54
1970–2023

Value Added (Total Manufacturing) — Value Standard Local Currency in Denmark, 1970–2023

0100.0k200.0k300.0k400.0k197019962023

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

Denmark recorded 447,609 million SLC for value added (total manufacturing) — value standard local currency in 2023. That is the highest value across all 54 years on record.

That represents a change of up 22.6% on the previous year and up 96.0% over ten years.

Over the whole period, value added (total manufacturing) — value standard local currency in Denmark peaked at 447,609 million SLC in 2023 and was at its lowest, 21,617 million SLC, in 1970.

Denmark ranks 71st of 215 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1970s 37,141 million SLC 21,617 million SLC 56,393 million SLC 10
1980s 94,837 million SLC 62,422 million SLC 121,242 million SLC 10
1990s 149,316 million SLC 127,172 million SLC 177,001 million SLC 10
2000s 197,030 million SLC 187,725 million SLC 213,706 million SLC 10
2010s 248,567 million SLC 197,185 million SLC 308,743 million SLC 10
2020s 359,605 million SLC 298,667 million SLC 447,609 million SLC 4

Countries ranked near Denmark

  1. 68 Poland 570,105 million SLC compare
  2. 69 South Sudan 540,486 million SLC compare
  3. 70 Ukraine 539,182 million SLC compare
  4. 72 Malaysia 420,109 million SLC compare
  5. 73 Iceland 412,694 million SLC compare
  6. 74 Democratic People's Republic of Korea 391,274 million SLC compare

See the full ranking of 218 places →

More economy & growth data for Denmark

All data for Denmark →

Frequently asked questions

What is value added (total manufacturing) — value standard local currency in Denmark?
Value added (total manufacturing) — value standard local currency in Denmark was 447,609 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (total manufacturing) — value standard local currency recorded in Denmark?
The highest recorded value was 447,609 million SLC in 2023.
What is the lowest value added (total manufacturing) — value standard local currency recorded in Denmark?
The lowest recorded value was 21,617 million SLC in 1970.
How does Denmark rank for value added (total manufacturing) — value standard local currency?
Denmark ranks 71st out of 215 countries with data for 2023.
Is value added (total manufacturing) — value standard local currency rising or falling in Denmark?
Over the last ten years it is up 96.0%. The long-run trend across the full record is volatile.
Where does this Denmark data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 54 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Value Added (Total Manufacturing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
218 places, 10,797 data points, 1970–2023
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).