Value Added (Total Manufacturing) β€” Value US$ in Yugoslav SFR

Yugoslav SFR: Value Added (Total Manufacturing) β€” Value US$ was 37,238 million USD in 1989. β—† Volatile

Latest (1989)
37,238 million USD
Change on year
up 14.1%
World rank
47th
of 220 countries
All-time high
37,238 million USD
in 1989
All-time low
3,887 million USD
in 1970
Years of data
20
1970–1989

Value Added (Total Manufacturing) β€” Value US$ in Yugoslav SFR, 1970–1989

010.0k20.0k30.0k40.0k1970197919891970: 3.9k million USD1971: 4.2k million USD1972: 4.4k million USD1973: 5.8k million USD1974: 8.3k million USD1975: 9.2k million USD1976: 9.9k million USD1977: 12.1k million USD1978: 14.6k million USD1979: 18.1k million USD1980: 19.5k million USD1981: 20.0k million USD1982: 18.3k million USD1983: 19.0k million USD1984: 21.4k million USD1985: 25.3k million USD1986: 25.9k million USD1987: 29.4k million USD1988: 32.6k million USD1989: 37.2k million USD

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

Analysis

The most recent figure for value added (total manufacturing) β€” value us$ in Yugoslav SFR is 37,238 million USD, measured in 1989. That is the highest value across all 20 years on record.

The figure is up 14.1% on the previous year and up 105.4% over ten years.

Over the whole period, value added (total manufacturing) β€” value us$ in Yugoslav SFR peaked at 37,238 million USD in 1989 and was at its lowest, 3,887 million USD, in 1970.

That places Yugoslav SFR 47th out of 220 countries with data for 1989, putting it in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
1970s 9,059 million USD 3,887 million USD 18,127 million USD 10
1980s 24,868 million USD 18,256 million USD 37,238 million USD 10

Countries ranked near Yugoslav SFR

  1. 44 Finland 44,136 million USD compare
  2. 45 Pakistan 40,708 million USD compare
  3. 46 Colombia 39,596 million USD compare
  4. 48 Hungary 36,630 million USD compare
  5. 49 Portugal 34,317 million USD compare
  6. 50 Peru 33,943 million USD compare

See the full ranking of 252 places β†’

More economy & growth data for Yugoslav SFR

All data for Yugoslav SFR β†’

Frequently asked questions

What is value added (total manufacturing) β€” value us$ in Yugoslav SFR?
Value added (total manufacturing) β€” value us$ in Yugoslav SFR was 37,238 million USD in 1989, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (total manufacturing) β€” value us$ recorded in Yugoslav SFR?
The highest recorded value was 37,238 million USD in 1989.
What is the lowest value added (total manufacturing) β€” value us$ recorded in Yugoslav SFR?
The lowest recorded value was 3,887 million USD in 1970.
How does Yugoslav SFR rank for value added (total manufacturing) β€” value us$?
Yugoslav SFR ranks 47th out of 220 countries with data for 1989.
Is value added (total manufacturing) β€” value us$ rising or falling in Yugoslav SFR?
Over the last ten years it is up 105.4%. The long-run trend across the full record is volatile.
Where does this Yugoslav SFR data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) β€” Value US$. Statizoid updates them automatically from the source API.

Download this data

CSV Β· JSON β€” 20 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Value Added (Total Manufacturing) β€” Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
252 places, 12,511 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).