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Retail Trade Survey data source contribution and response rate

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DataInfoPlus2026-07-17 收录
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Retail trade survey data source contribution and response rate The Retail trade survey uses a combination of survey and administrative data sources. We can see how the contribution of these sources to our estimates change over time, and how much we’ve had to rely on imputation in any given quarter to estimate missing data, which helps us understand the quality of our retail estimates. The measures below show for each quarter: the contribution that administrative data has made to the value of sales, regardless of whether it was from a response or imputed. the value of sales that has come directly from responses (eg. Data that is not imputed), regardless of the data source (ie. Whether it is from a survey or administrative source). The measures are based on Total retail trade (NZSIOC level 1 GH, which is a combination of the two ANZSIC06 divisions G and H) sales values. These measures are a reflection of the contribution and response rate to sales value as at the time results were first published for the reference quarter. They are not revised if updates are later implemented. Quarter Contribution to sales value from administrative data Response rate based on sales value, regardless of data source 2026 Q1 57.6% 97.7% 2025 Q4 56.2% 97.7% 2025 Q3 56.0% 96.6% 2025 Q2 55.5% 96.4% 2025 Q1 55.2% 94.2% 2024 Q4 53.5% 96.4% 2024 Q3 53.4% 96.9% 2024 Q2 53.0% 95.8% 2024 Q1 54.2% 98.5% 2023 Q4 52.7% 98.1% 2023 Q3 52.5% 96.3% 2023 Q2 52.1% 96.1% 2023 Q1 52.8% 94.3% 2022 Q4 52.3% 96.3% 2022 Q3 53.4% 95.6% 2022 Q2 51.9% 96.8% 2022 Q1 52.5% 94.7% 2021 Q4 52.1% 98.1% 2021 Q3 52.7% 96.4% 2021 Q2 52.2% 98.1% 2021 Q1 53.0% 97.0% 2020 Q4 51.9% 95.8% 2020 Q3 52.3% 89.0% 2020 Q2 50.4% 96.7% 2020 Q1 52.5% 92.8% 2019 Q4 51.9% 95.0% 2019 Q3 51.9% 95.2% 2019 Q2 51.7% 97.2% 2019 Q1 53.5% 94.7% 2018 Q4 53.2% 96.3% 2018 Q3 53.0% 96.2% 2018 Q2 53.3% 96.8% 2018 Q1 54.6% 95.3% 2017 Q4 53.6% 97.5% 2017 Q3 53.8% 95.4% en-NZ

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Stats NZ
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