Performance information
Objective 1: Produce high-quality statistics
| 1.1 Trust in ABS statistics—level of trust in the ABS and its statistics |
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| Method | | Targets | | Years measured |
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| Community Trust in ABS Statistics Survey (CTASS) | | At least 85% level of trust in ABS and ABS statistics | | 2024-25 |
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| Number of statistics released free of significant errors1 | | 100% of statistics are released free of significant errors | | 2021–22 to 2024–25 |
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| 1.2 International compliance—ABS statistics meet standards for National and International Accounts, Labour Force, Unemployment, Consumer Price Index, and Estimates of Resident Population |
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| Method | | Target | | Years measured |
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| Compliance with International Monetary Fund (IMF) Special Data Dissemination Standard (SDDS)2 | | IMF assess ABS to be 100% compliant with SDDS for in-scope collections | | 2021–22 to 2024–25 |
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| 1.3 Conduct the Census3—implementation of the Census to deliver trusted data |
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| Method | | Targets | | Years measured |
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| Response rate to the 2021 Census | | 95% response rate | | 2021–22 |
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| Independent survey of user sentiment toward the 2021 Census | | 80% of the community support the Census | | 2021–22 |
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| Validation of the quality of 2021 Census data by the Independent Assurance Panel | | 2021 Census data is of a comparable quality to previous Censuses | | 2021–22 |
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| Release of the first statistics from the 2021 Census within 12 months of Census night | | First release of Census data occurs before 10 August 2022 | | 2022–23 |
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| Complete public consultation on 2026 Census topics | | Publish 2026 Census Topic Directions | | 2023–24 |
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| Finalise 2026 Census topics | | Regulations are updated to define Census topics | | 2024–25 |
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Objective 2: Generate timely new insights
| 2.1 Stakeholder needs are met—new statistics or insights are used to inform priority policy or decisions |
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| Method | | Case studies | | Year measured4 |
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| Case studies showing how new statistics or insights are used by clients | | 1. Use of Single Touch Payroll data from the Australian Taxation Office to create new insights to inform and evaluate government policy e.g. Treasury real-time labour market tracker, Weekly Payroll Jobs and Wages, business turnover indicator. | | 2021–22 |
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| | | 2. Insights into the employment outcomes of women in STEM: longitudinal analysis using MADIP. | | |
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Objective 3: Improve access to ABS statistics
| 3.1 Access to ABS data and statistics—access to data products and services |
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| Method | | Targets5 | | Years measured |
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| Composite index of channel access: | | 102 | | 2021–22 |
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- Calls to API service
- Number of DataLab sessions
- Invoices for customised data services
- Count of ABS website sessions
- Registered users of TableBuilder
| | 1066
108
111 | | 2022–23
2023–24
2024–25 |
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Objective 4: Strengthen data capability across the APS
| 4.1 Senior Executive Service (SES) data capability—completion of data leadership training |
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| Method | | Targets | | Years measured |
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| Number of APS SES officers who complete data leadership training | | Two pilot courses are delivered with a total of 40 attendees | | 2021–22 |
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| | | Four courses are delivered with a total of 80 attendees | | 2022–23 to 2024–25 |
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Objective 5: Reduce burden on data providers
| 5.1 Burden on survey respondents—time taken to complete business surveys |
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| Method | | Targets7 | | Years measured |
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| Total time taken for survey respondents to complete business surveys | | 0 percentage point decrease on benchmark | | 2021–22 |
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| | | 6.5 percentage point decrease on benchmark | | 2022–23 |
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| | | 13 percentage point decrease on benchmark | | 2023–24 |
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| | | 20 percentage point decrease on benchmark | | 2024–25 |
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| 5.2 Efficiency of statistical operations—improve efficiency with which data is collected |
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| Method | | Case studies | | Year measured8 |
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| Case studies showing efficiencies made in collecting data for statistical purposes | | 1. Reducing the size of the Agricultural Census form to reduce burden on providers. | | 2021–22 |
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| | | 2. Use of the Big Data, Timely Insights initiative to replace the Monthly Retail Survey. | | |
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1 An error is significant if it could mislead a user as to the value of a statistical indicator of national or state importance.
2 https://dsbb.imf.org/sdds
3 Each Census is implemented over a five-year period and as such, targets for this measure change each year to reflect the major phases of Census. Targets relevant to the years covered by this Plan are included here.
4 Case study topics listed for this measure are reported against for only the first year covered by this Plan i.e. 2021–22. Each year, new case studies are selected for reporting against this measure.
5 Based on a benchmark value in 2020–21 of 100.
6 The significant increase over 2021–22 reflects the likelihood of high levels of interest in 2021 Census releases.
7 Based on a benchmark value of 338,964 hours from 2020–21.
8 Case study topics listed for this measure are reported against for only the first year covered by this Plan i.e. 2021–22. Each year, new case studies are selected for reporting against this measure.
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