Australia vs New Zealand: Labour indicators by urban-rural territorial typology — Labour force

Australia
1.29 million Persons
in 2019
New Zealand
1.20 million Persons
in 2016
Australia rank
13th
New Zealand rank
14th

Labour indicators by urban-rural territorial typology — Labour force over time

  • Australia
  • New Zealand
0500.0k1.0M1.5M199620072019

How they compare

Australia currently reports 1.29 million Persons against 1.20 million Persons in New Zealand, a difference of 86,720 Persons.

That makes Australia's figure about 1.1 times New Zealand's.

The two have swapped places 2 times across 19 shared years of data; in 1998 it was Australia ahead.

Australia ranks 13th and New Zealand ranks 14th of 18 countries.

Across the 3 decades both report, Australia averaged higher in 1 and New Zealand in 2.

Head to head by decade

Decade Australia New Zealand Difference Ahead
1990s 895,720 Persons 906,950 Persons 11,230 Persons New Zealand
2000s 1.01 million Persons 1.02 million Persons 6,016 Persons New Zealand
2010s 1.18 million Persons 1.12 million Persons 56,291 Persons Australia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher labour indicators by urban-rural territorial typology — labour force, Australia or New Zealand?
Australia, at 1.29 million Persons against 1.20 million Persons in New Zealand as of 2019.
What is the difference in labour indicators by urban-rural territorial typology — labour force between Australia and New Zealand?
86,720 Persons, with Australia ahead.
How many years of comparable data are there for Australia and New Zealand?
19 years are reported by both, from 1998 to 2016.
How do Australia and New Zealand rank globally for labour indicators by urban-rural territorial typology — labour force?
Australia ranks 13th and New Zealand ranks 14th of 18 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Labour indicators by urban-rural territorial typology — Labour force. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Australia vs New Zealand: Labour indicators by urban-rural territorial typology — Labour force. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 08 September 2026, from https://labour.statizoid.com/compare/labour-indicators-by-urban-rural-territorial-typology-labour-force/australia/new-zealand/

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<a href="https://labour.statizoid.com/compare/labour-indicators-by-urban-rural-territorial-typology-labour-force/australia/new-zealand/">Australia vs New Zealand: Labour indicators by urban-rural territorial typology — Labour force</a> — Statizoid

About this data

Indicator
Labour indicators by urban-rural territorial typology — Labour force
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
20 places, 346 data points, 1995–2024
Last refreshed

This dataset provides labour market indicators aggregated at national level and broken down by urban-rural territorial typology. Data source and definition The indicators include labour indicators at place of residence by type of territory. Data is based on a labor force survey using ILO methodology and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. Territorial typology The OECD classifies TL3 regions as predominantly urban, intermediate or predominantly rural; rural regions can be further split into “close to city” and “remote” (see methodology (pdf)). This typology supports analysis of socio-economic differences across regions. See also the OECD Territorial Correspondence Table (xlsx) and the OECD Territorial grid (pdf). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats Further information OECD Regions and Cities Statistical Atlas OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.