We aim to provide the most comprehensive source of agricultural business information to the UK.

Since it was first published 50 years ago, The John Nix Farm Management Pocketbook has become the most widely used and most trusted agricultural costing book in the UK. The John Nix Farm Management Pocketbook is now in its 48th Edition, and is the longest running costings book in the industry.

If you have particular requirements for specific agricultural information research consultancy, please call Graham on 01664 564 508 to discuss how we can help you.

The 2019 Edition is published in September 2018.

The Pocketbook 2019 Edition is packed with new information and more detailed analyses  to help with farm management decisions, understand farmer clients and to build credible evidence in academic studies.

The John Nix Farm Management Pocketbook has been revised for 2019, keeping it the most useful book of its type.

It includes over 300 pages of fully revised data, includes gross margins, overheads, rents, finance, all capital, grants, taxation and much more.

 

DO YOU FARM?

The John Nix Pocketbook helps you to:

  • Measure your business by budgeting your costs and income
  • Benchmark your business by benchmarking and offering standard data
  • Spot opportunities to raise efficiency (e.g. contract or buy a machine)
  • Measure the benefits of diversification (e.g. a wind turbine or alpaca)

 

ARE YOU INVOLVED IN THE AGRICULTURAL INDUSTRY?

Using The Pocketbook you can:

  • Calculate the financial returns of farming sectors
  • Measure the technical potential of farm systems
  • Gain an insight into the future of farming

 

For a full list of contents or sample pages for an insight of what’s in it, click on the download buttons below.

 

 

This book is written for everybody involved in farming: farmers of all sizes and experience, advisers, supply chain and agriculturalists, agricultural students, academics, local and national government bodies and everyone else who frequently or infrequently, find themselves needing agricultural data.

 

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