Data explorer
Region

Year
Filter by Year
Sector
Filter by Sector
Designation
Filter by Designation
Region
Filter by Region
info
Please note - Changing the drop-down values may not alter some charts below.

About these charts

For these 4 charts with 4 data filters:

  • All charts have a regional workforce element.
  • Not all filters apply to all charts. We explained below which filters apply to which charts.
  • In some regions, we've combined designations with low workforce numbers for privacy.
  • We exclude designations with estimated counts – 'relevant' and 'other'.
  • Scale may not begin at zero because charts auto-fit to the data.

Food and fibre workforce as proportion of regional workforce

  • This chart compares food and fibre sector workforce as a proportion of total workforce by region in any year. We've broken down the workforce by designation if it applies.
  • Filter to use: Year

Average annual regional workforce counts by sector-designation

  • This chart compares workforce numbers across regions by sector and year. We've broken down the sector by designation if it applies.
  • Filters to use: Sector, year

Regional workforce trend for sector-designation

  • This chart shows regional trends in workforce numbers over time by sector and designation.
  • Filters to use: Sector, designation

Sector workforce trend for region

  • This chart shows workforce numbers for a region and sector, broken down by designation if it applies.
  • Filters to use: Sector, region

Useful features on all charts

  • Show exact numbers by holding the mouse over the chart.
  • Some charts let you narrow or widen date range using the handles at the bottom of the chart.
  • Hide or show a series by clicking its name in the legend below the chart.
  • View full screen or download in different formats using the 'hamburger' menu top right.

Note

  • 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.