For this analysis we take 19 year old New Zealand resident, determine their training pathway at age 19 and whether they complete their study/training by age 25. From these pathways we track persons median income during, and beyond training.
The 5 ITOs separated from other ITOs are BCITO, Competenz, Connexis, Skills Org and MITO.
While studying university graduates accumulate little income, but as they enter the workforce they catch up for lost time, surpassing polytechnic students by age __ however by age 34 are still $98,000 behind construction, infrastructure and engineering apprentices.
From the 2003 population the biggest gap between apprentices and graduates was at age 28 where apprentices had earned $135,000 more than graduates. More than enough for a home deposit. Look are more recent populations, from 2009 this gap had grown to $185,000.
Methodology
To conduct this analysis, 11 cohorts of 19 year old New Zealand residents that were enrolled in training institutions at age 19 from the Ministry of Education records. Each cohort is classified based on the year that they turned 19. These cohorts were then categorised based on the highest qualification the individual had obtained by age 25. Using IRD records the median incomes for each cohort was calculated based on the category they were in and tracked over time.
The categories include university, trade apprentices, other ITOs, ITP (Institute of Technology and Polytechnique), and no training. We broke up the Industry Training Organisations (ITOs) into two categories, trade apprentices and other ITOs. The trade apprentices comes from the trade related ITOs such as BCITO, Competenz, Skills Org, Connexis and MITO.
If a person moved overseas and had no income in that year they would be excluded from the calculation of the median, as they would not have active IRD tax records. Income is calculated from wages, salaries and business income sources. Beneficiary income and rental incomes are excluded.
Access to the data used in this study was provided by Stats NZ under conditions designed to give effect to the security and confidentiality provisions of the Data and Statistics Act 2022. The results presented in this study are the work of the author, not Stats NZ or individual data suppliers.
These results are not official statistics. They have been created for research purposes from the Integrated Data Infrastructure (IDI) which is carefully managed by Stats NZ. For more information about the IDI please visit https://www.stats.govt.nz/integrated-data/.
The results are based in part on tax data supplied by Inland Revenue to Stats NZ under the Tax Administration Act 1994 for statistical purposes. Any discussion of data limitations or weaknesses is in the context of using the IDI for statistical purposes, and is not related to the data's ability to support Inland Revenue's core operational requirements.
