Methodology
The target population for the QHES survey is household consumers aged over 18 who are involved in decisions about energy issues and purchases for their household. The survey is conducted online, with participants being invited to participate and complete the questions in their own time without an interviewer present. The survey generally takes around 15 to 20 minutes to complete.
Quotas were placed on the household sample by location with broad quotas on age group and gender. Random Iterative Method (RIM) weighting was applied to the final data using information sourced from the Australian Bureau of Statistics (ABS). The final data is weighted based on ABS data by location, home ownership, age and gender.
Results with a base size of less than n=100 are shown with a caution that results will have a high Margin of Error and therefore may be subject to high variability. Results with a base size of less than n=30 have not been shown.
The survey was programmed and hosted by Dynata, an international online sampling and data collection organisation. All other tasks were completed by Essential Research.
All Essential Research staff hold Research Society membership and are bound by professional codes of behaviour. This research is compliant with the Australian Polling Council Quality Mark standards. The Australian Polling Council standards can be found here.
Queensland Household Energy Survey 2024
| Publication Date | Fieldwork Start Date | Fieldwork End Date |
| 5th August 2024 | 26th March 2024 | 31st May 2024 |
| Sample Size | Weighting Efficiency | Effective Sample Size | Margin of Error |
| 4,193 | 84% | 3,536 | ±1.6% |
Queensland Household Energy Survey 2023
| Publication Date | Fieldwork Start Date | Fieldwork End Date |
| 10th August 2023 | 21st March 2023 | 24th April 2023 |
| Sample Size | Weighting Efficiency | Effective Sample Size | Margin of Error |
| 4,200 | 81% | 3,390 | ±1.7% |
Queensland Household Energy Survey 2022
| Publication Date | Fieldwork Start Date | Fieldwork End Date |
| 1st September 2022 | 14th March 2022 | 11th April 2022 |
| Sample Size | Weighting Efficiency | Effective Sample Size | Margin of Error |
| 4,278 | 77% | 3,315 | ±1.7% |
