Australia vs Venezuela (Bolivarian Republic of): Value Added (Agriculture) … Forestry Fishing Standard Local Currency

Australia
53,191 million SLC
in 2024
Venezuela (Bolivarian Republic of)
52,703 million SLC
in 2024
Australia rank
106th
Venezuela (Bolivarian Republic of) rank
107th

Value Added (Agriculture) … Forestry Fishing Standard Local Currency over time

  • Australia
  • Venezuela (Bolivarian Republic of)
020.0k40.0k60.0k197019972024

How they compare

Australia currently reports 53,191 million SLC against 52,703 million SLC in Venezuela (Bolivarian Republic of), a difference of 488 million SLC.

Across all 55 years both countries report, Australia has been ahead every year.

Australia ranks 106th and Venezuela (Bolivarian Republic of) ranks 107th of 228 countries.

Australia has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Australia Venezuela (Bolivarian Republic of) Difference Ahead
1970s 4,833 million SLC 0 million SLC 4,833 million SLC Australia
1980s 11,705 million SLC 0 million SLC 11,705 million SLC Australia
1990s 16,426 million SLC 0 million SLC 16,426 million SLC Australia
2000s 26,766 million SLC 0 million SLC 26,766 million SLC Australia
2010s 38,964 million SLC 1.14 million SLC 38,963 million SLC Australia
2020s 57,780 million SLC 23,460 million SLC 34,320 million SLC Australia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (agriculture, forestry and fishing) — value standard, Australia or Venezuela (Bolivarian Republic of)?
Australia, at 53,191 million SLC against 52,703 million SLC in Venezuela (Bolivarian Republic of) as of 2024.
What is the difference in value added (agriculture, forestry and fishing) — value standard between Australia and Venezuela (Bolivarian Republic of)?
488 million SLC, with Australia ahead.
How many years of comparable data are there for Australia and Venezuela (Bolivarian Republic of)?
55 years are reported by both, from 1970 to 2024.
How do Australia and Venezuela (Bolivarian Republic of) rank globally for value added (agriculture, forestry and fishing) — value standard?
Australia ranks 106th and Venezuela (Bolivarian Republic of) ranks 107th of 228 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Australia vs Venezuela (Bolivarian Republic of): Value Added (Agriculture, Forestry and Fishing) — Value Standard. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 October 2026, from https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/australia/venezuela-bolivarian-republic-of/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/australia/venezuela-bolivarian-republic-of/">Australia vs Venezuela (Bolivarian Republic of): Value Added (Agriculture, Forestry and Fishing) — Value Standard</a> — Statizoid

About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — 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
229 places, 11,592 data points, 1970–2024
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).