New Zealand NZ: Vulnerable Employment: Modeled ILO Estimate: % of Total Employment data was reported at 12.136 % in 2017. This records a decrease from the previous number of 12.206 % for 2016. New Zealand NZ: Vulnerable Employment: Modeled ILO Estimate: % of Total Employment data is updated yearly, averaging 12.276 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 13.673 % in 1999 and a record low of 10.770 % in 2013. New Zealand NZ: Vulnerable Employment: Modeled ILO Estimate: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Employment and Unemployment. Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

New Zealand NZ: Unemployment with Advance Education: Male: % of Male Labour Force data was reported at 3.970 % in 2013. This records a decrease from the previous number of 4.790 % for 2012. New Zealand NZ: Unemployment with Advance Education: Male: % of Male Labour Force data is updated yearly, averaging 2.940 % from Dec 1995 (Median) to 2013, with 16 observations. The data reached an all-time high of 4.790 % in 2012 and a record low of 1.280 % in 1997. New Zealand NZ: Unemployment with Advance Education: Male: % of Male Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Employment and Unemployment. The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;

This 6MB download is a zip file containing 5 pdf documents and 2 xlsx spreadsheets. Presentation on COVID-19 and the potential impacts on employment

May 2020Waka Kotahi wants to better understand the potential implications of the COVID-19 downturn on the land transport system, particularly the potential impacts on regional economies and communities.

To do this, in May 2020 Waka Kotahi commissioned Martin Jenkins and Infometrics to consider the potential impacts of COVID-19 on New Zealand’s economy and demographics, as these are two key drivers of transport demand. In addition to providing a scan of national and international COVID-19 trends, the research involved modelling the economic impacts of three of the Treasury’s COVID-19 scenarios, to a regional scale, to help us understand where the impacts might be greatest.

Waka Kotahi studied this modelling by comparing the percentage difference in employment forecasts from the Treasury’s three COVID-19 scenarios compared to the business as usual scenario.

The source tables from the modelling (Tables 1-40), and the percentage difference in employment forecasts (Tables 41-43), are available as spreadsheets.

Arataki - potential impacts of COVID-19 Final Report

Employment modelling - interactive dashboard

The modelling produced employment forecasts for each region and district over three time periods – 2021, 2025 and 2031. In May 2020, the forecasts for 2021 carried greater certainty as they reflected the impacts of current events, such as border restrictions, reduction in international visitors and students etc. The 2025 and 2031 forecasts were less certain because of the potential for significant shifts in the socio-economic situation over the intervening years. While these later forecasts were useful in helping to understand the relative scale and duration of potential COVID-19 related impacts around the country, they needed to be treated with care recognising the higher levels of uncertainty.

The May 2020 research suggested that the ‘slow recovery scenario’ (Treasury’s scenario 5) was the most likely due to continuing high levels of uncertainty regarding global efforts to manage the pandemic (and the duration and scale of the resulting economic downturn).

The updates to Arataki V2 were framed around the ‘Slower Recovery Scenario’, as that scenario remained the most closely aligned with the unfolding impacts of COVID-19 in New Zealand and globally at that time.

Find out more about Arataki, our 10-year plan for the land transport system

May 2021The May 2021 update to employment modelling used to inform Arataki Version 2 is now available. Employment modelling dashboard - updated 2021Arataki used the May 2020 information to compare how various regions and industries might be impacted by COVID-19. Almost a year later, it is clear that New Zealand fared better than forecast in May 2020.Waka Kotahi therefore commissioned an update to the projections through a high-level review of:the original projections for 2020/21 against performancethe implications of the most recent global (eg International monetary fund world economic Outlook) and national economic forecasts (eg Treasury half year economic and fiscal update)The treasury updated its scenarios in its December half year fiscal and economic update (HYEFU) and these new scenarios have been used for the revised projections.Considerable uncertainty remains about the potential scale and duration of the COVID-19 downturn, for example with regards to the duration of border restrictions, update of immunisation programmes. The updated analysis provides us with additional information regarding which sectors and parts of the country are likely to be most impacted. We continue to monitor the situation and keep up to date with other cross-Government scenario development and COVID-19 related work. The updated modelling has produced employment forecasts for each region and district over three time periods - 2022, 2025, 2031.The 2022 forecasts carry greater certainty as they reflect the impacts of current events. The 2025 and 2031 forecasts are less certain because of the potential for significant shifts over that time.

Data reuse caveats: as per license.

Additionally, please read / use this data in conjunction with the Infometrics and Martin Jenkins reports, to understand the uncertainties and assumptions involved in modelling the potential impacts of COVID-19.

COVID-19’s effect on industry and regional economic outcomes for NZ Transport Agency [PDF 620 KB]

Data quality statement: while the modelling undertaken is high quality, it represents two point-in-time analyses undertaken during a period of considerable uncertainty. This uncertainty comes from several factors relating to the COVID-19 pandemic, including:

a lack of clarity about the size of the global downturn and how quickly the international economy might recover differing views about the ability of the New Zealand economy to bounce back from the significant job losses that are occurring and how much of a structural change in the economy is required the possibility of a further wave of COVID-19 cases within New Zealand that might require a return to Alert Levels 3 or 4.

While high levels of uncertainty remain around the scale of impacts from the pandemic, particularly in coming years, the modelling is useful in indicating the direction of travel and the relative scale of impacts in different parts of the country.

Data quality caveats: as noted above, there is considerable uncertainty about the potential scale and duration of the COVID-19 downturn. Please treat the specific results of the modelling carefully, particularly in the forecasts to later years (2025, 2031), given the potential for significant shifts in New Zealand's socio-economic situation before then.

As such, please use the modelling results as a guide to the potential scale of the impacts of the downturn in different locations, rather than as a precise assessment of impacts over the coming decade.

Youth Unemployment Rate in New Zealand decreased to 12.90 percent in the first quarter of 2025 from 13.40 percent in the fourth quarter of 2024. This dataset provides - New Zealand Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

New Zealand NZ: Employment: % Change data was reported at 4.137 % in 2017. This records a decrease from the previous number of 4.625 % for 2016. New Zealand NZ: Employment: % Change data is updated yearly, averaging 1.874 % from Dec 1987 (Median) to 2017, with 31 observations. The data reached an all-time high of 4.653 % in 1995 and a record low of -3.200 % in 1988. New Zealand NZ: Employment: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s New Zealand – Table NZ.IMF.IFS: Labour Force, Employment and Unemployment: Annual.

As of June 2019, the South Island region had the highest employment change of Maori in New Zealand compared to the previous year, with an increase in employment of about nine percent. Contrastingly, the Wellington region experienced a decline in employment among Maori of about 8.2 percent compared to the previous year.

During financial year 2018, the average service length of employees in the New Zealand customs service was 12 years. This represents a decrease from the previous financial year.

New Zealand NZ: Unemployment with Basic Education: % of Total Labour Force data was reported at 10.050 % in 2013. This records a decrease from the previous number of 10.680 % for 2012. New Zealand NZ: Unemployment with Basic Education: % of Total Labour Force data is updated yearly, averaging 9.760 % from Dec 1995 (Median) to 2013, with 13 observations. The data reached an all-time high of 12.000 % in 2000 and a record low of 0.280 % in 1995. New Zealand NZ: Unemployment with Basic Education: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Employment and Unemployment. The percentage of the labor force with a basic level of education who are unemployed. Basic education comprises primary education or lower secondary education according to the International Standard Classification of Education 2011 (ISCED 2011).; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;

As of June 2019, over 106,000 women had multiple jobs in New Zealand, this is a significant increase from 2016, in which just under 91,000 women had multiple jobs in New Zealand. The employment rate in New Zealand has been rising over the past few years, hitting a peak in 2018 and then facing a slight decline shortly after.

As of June 2019, the Auckland region had the highest employment change of Pacific Peoples in New Zealand compared to the previous year, with an increase in employment of about *** percent. Contrastingly, the Wellington region had a decline in employment of about *** percent compared to the previous year.

The number of employees in the clothing, footwear, and personal accessories retail industry in New Zealand amounted to ****** people in the year ended February 2024. This marked a decline from the previous year, in which around ****** people were employed in the industry.

As of June 2019, the technicians and trades occupation group saw the largest decline in online job advertisements in the Northland region of New Zealand with a *** percent decrease compared to the previous year. In the same period, the largest growth in online job postings in New Zealand was experienced in the IT sector.

In 2024, around 52,900 people were employed in the New Zealand building construction industry, a decrease from the previous year. The number of employees in the building construction industry had witnessed year-on-year increases between 2015 and 2023.

As of June 2019, the sales occupation group saw the largest decline in online job advertisements in the Canterbury region of New Zealand, with a 14.3 percent decrease compared to the previous year. In the same period, the largest growth in online job postings in New Zealand was experienced in the IT sector.

As of June 2019, semi-skilled occupations saw the largest decline in online job advertisements in the Canterbury region of New Zealand with 12.4 percent less postings compared to the previous year. In the same period, the largest growth in online job postings in New Zealand was experienced in the IT sector.

New Zealand NZ: Unemployment Rate data was reported at 4.700 % in 2017. This records a decrease from the previous number of 5.100 % for 2016. New Zealand NZ: Unemployment Rate data is updated yearly, averaging 6.096 % from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 10.625 % in 1992 and a record low of 3.675 % in 2007. New Zealand NZ: Unemployment Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s New Zealand – Table NZ.IMF.IFS: Labour Force, Employment and Unemployment: Annual.

The largest growth in online job postings in the Northland region in New Zealand was experienced in the manufacturing sector, with *** percent more online job ads as of June 2019 compared to the previous year. In contrast, the education sector saw the largest decrease in online job advertisements in the same period.

The largest growth in online job postings in the Wellington region in New Zealand was experienced in the healthcare sector, with **** percent more online job ads as of June 2019 compared to the previous year. In contrast, the construction sector saw the largest decrease in online job advertisements in the same period.

This annual report is the 17th in a series that examines trends in temporary and permanent migration to and from New Zealand. The report updates trends to 2016/17 and compares recent immigration patterns with patterns identified in previous years.

The largest growth in online job postings in the Nelson, Tasman, Marlborough and West Coast region in New Zealand was experienced in the education sector, with **** percent more online job ads as of June 2019 compared to the previous year. In contrast, the construction sector saw the largest decrease in online job advertisements in the same period.