From this issue, the Retirement and Retirement Intentions survey (R&RI) was weighted to benchmarks that were based on a 12 month average of population estimates across the financial year reference period (July 2018 to June 2019). These benchmarks included populations categorised by geography of usual residence, sex and age, as well as employed, unemployed and not in the labour force populations. They were sourced from the results of the Labour Force Survey (LFS) as reported in the December 2019 issue of Labour Force, Australia.
Previously, population benchmarks were based on a single point in time instead of a 12 month average (December for the 2016-17 issue, and March for previous issues). Using a 12 month average removes the seasonality from the employed, unemployed and not in the labour force benchmarks and is more representative of the period of collection across the financial year.
Estimates from the LFS have been used as benchmarks for R&RI since the 2014-15 issue, to improve coherence between the two publications. Previously, they were used in tandem with independent benchmarks from Estimated Resident Population (ERP). LFS estimates are also benchmarked to ERP, and since 2015 have been revised and rebenchmarked on a quarterly basis to the latest population estimates. From this issue, R&RI benchmarks are based solely on LFS estimates, since they already include the latest information from ERP.
Estimates from previous R&RI surveys back to 2004-05 have also been revised and reweighted using this method (population benchmarks based on a 12 month average of LFS estimates across the financial year), from the same population series as published in the December 2019 issue of Labour Force, Australia. This has improved the consistency and coherence of the timeseries published in R&RI.
The revised timeseries is available in Table 2 of this publications Data downloads section. The format of Table 2 has been modified to accommodate extending the series back to the November 1997 survey (which has also been rebenchmarked).