About Data Farm
Queensland AgTrends (and formerly Prospects) has been providing forecasts and trends in Queensland agriculture, fisheries, and forestry production for over 20 years. Initially, data was provided in printed and then electronic reports. This site will now deliver the same information and more, enabling users of agriculture data to visualise trends and use the data to support growth in the sector.
What’s not included
In AgTrends, gross value of production (GVP) refers to the output of primary-industry operations. Most non-commercial activities, such as home vegetable-and-flower gardening and hobbyist beekeeping, are not included due to a lack of data. This in no way means these activities are not important to the economy and society. Recreational fishing is included, but at a conservative valuation, based on harvest value.
Calculations and methodology
We calculate the gross values of commodities produced by multiplying the output from each primary-industry activity by the average wholesale market price paid to producers.
Current estimates of major primary-industry processing activity are based on a methodology from:
- the 2006–07 Australian Bureau of Statistics manufacturing survey
- census statistics released in April 2009.
The methodology assumes a constant ratio of:
- farm output to processing output
- processing output to value added by the processing industry.
Data from before 2010–11 used the methodology from the Queensland 2000–01 manufacturing survey. Therefore, the first-stage processing forecasts from 2010–11 onwards should not be compared with the estimates for previous years.
Value added refers to the additional value created at a particular stage of production. This analysis does not include value-adding that happens after the first round. Some industries have many rounds of processing and value-adding beyond the first round. For instance, timber is processed in many downstream industries, including wooden structural component, pulp, paper and paperboard, and paper-product processing.
Economists use the value-added method to avoid double-counting. Adding the value added in each production stage equals the value of the final product. Final products include consumer goods and fixed capital equipment. In a microeconomic context, value added is simply measured as the value of the output produced minus the costs of the intermediate inputs.
The estimates and forecasts contained on the AgTrends pages of this site are updated twice a year, in September and April when data becomes avaliable. Updates are based on the latest available information at the time and are made after consulting experts from industry and from the Department of Agriculture and Fisheries (DAF).
The prices of all overseas-traded commodities respond to changes in the exchange rate of the Australian dollar. Prices paid to primary producers, and therefore gross unit values, could change depending on exchange rates increases or decreases.
Use of trade data
To ensure accuracy of data from the trade dashboard, select commodities of interest using the hierarchy slicer. The slicer is based on the Standard International Trade Classification (SITC) Rev. 4, which groups goods according to their level of manufacturing or processing. See the full version of the SITC Rev.4.
When interpreting the trade data, it’s important to note the impact of confidential data on the data set.
If requested by a business, the release of statistics for certain products is restricted to prevent the identification of the activities of the business. These restrictions do not affect the total value of exports and imports, but they can affect statistics at the country, state and commodity levels. For information on the confidentiality restrictions applied to the merchandise trade statistics in this publication, refer to the current issue of International Merchandise Trade: Confidential Commodities List (CCL) (ABS cat. no. 5372.0.55.001).
The following are of importance, with regard to Queensland agriculture confidentialised exports:
- Sugar (SITC4 06111) – no details since February 1998
- Cotton lint (SITC4 26310) – no state details since December 2018
- Macadamia nuts (SITC4 05779) – no state details since March 2000
DAF acknowledges contributions to AgTrends forecasts from:
- DAF researchers and industry experts
- the Queensland Government Statistician's Office
- the Australian Bureau of Agricultural and Resource Economics and Sciences
- the Australian Bureau of Statistics
- Meat & Livestock Australia
- the United States Department of Agriculture
- industry representatives from Avocados Australia, Canegrowers, Cotton Australia, Queensland Dairyfarmers’ Organisation, Growcom, Turf Queensland, Nursery & Garden Industry Queensland, the Flower Association of Queensland, the Australian Lot Feeders’ Association, the Australian Wool Production Forecasting Committee, Queensland Sugar Limited and the Housing Industry Association
- market commentators and industry media including ABC Rural, Queensland Country Life, Farmonline, Rabobank, IBISWorld, The Land and Beef Central.
We welcome your feedback. Please send your comments and suggestions to us at firstname.lastname@example.org or call 13 25 23.
Last updated: 13 May 2021