work in food and fibre
in core production
in biggest sector: Red meat and wool
in smallest sector: Seafood
Where are people in the food and fibre sectors?
Around half the food and fibre workforce is in core production and a quarter in core processing/manufacturing, or first-stage processing.
A fifth of the workforce is in strongly connected businesses, including second-stage processing, businesses that depend on the core like fertiliser manufacture and businesses inter-dependent with the core, such as, veterinarians.
Seasonal change: Workforce over a year
Seasonality can drive big changes in workforce with peaks in production, processing or both.
Use our data visualisations to see how the workforce changes in each sector across a year.
Roles and skill levels
Roles and skill levels differ much across the food and fibre sectors. These are explained in detail in our report.
- The highest proportion of managers are found in arable and red meat and wool core production (both over half), probably because of high numbers of owner-managed farms.
- The highest proportions of managed staff (around 9 in 10) are in horticulture and pork, poultry bees and other (core processing/manufacturing).
- There are high proportions of semi-autonomous workers in core processing/manufacturing in forestry and wood, and red meat and wool – both around half.
How many work in the food and fibre sectors?
|Core production||Core processing||Strongly connected||Relevant||Other||Total|
|Forestry and wood processing||12,692||11,317||17,467||185||n/a||41,568|
|Pork, poultry, bees and other||9,467||3,575||13,542||n/a||n/a||26,525|
|Red meat and wool||47,208||23,983||5,208||370||n/a||76,553|
Workforce counts for each designation and sector won't necessarily sum to the total - some people may work in more than one sector and designation. The total indicates the overall unique numbers of people.
Past year numbers can change as: (1) the IDI extracts are on an "as at" point in time basis, so data refreshes will re-read in any backdated data updates submitted by data providers; and (2) every data refresh involves re-extracting all the past years which are then subjected to Stats NZ's random rounding rules.