Performance Measures and Targets

Latest release
ABS Corporate Plan
Reference period
2023-24

ABS Performance

The Corporate Plan is our principal planning document and sets out how we manage our responsibilities and use of public resources. The ABS, as with all other non-Corporate Commonwealth entities, is required to use performance measures – both qualitative and quantitative - to assess the extent to which we have delivered against our purpose.

For 2023-24 and the forward estimates period referenced in this Corporate Plan:

  • The performance measures meet the requirements of section 16EA of the Public Governance, Performance and Accountability Rule 2014.

  • Performance measures have been implemented for Priorities One to Four only. Measures for Priority Five are inherently input-focused and are therefore monitored internally by the business.

  • Targets for performance measures are reviewed annually and have been provided for each performance measure where it is reasonable to do so.

The assessments and results of our performance and achievements will be reported in the Annual Performance Statement which is incorporated in the ABS Annual Report 2023-24.

Priority 1: Produce high-quality statistics

1.1  Trust in ABS statistics - level of trust in the ABS and its statistics
MethodTargetsYears 
measured
Community Trust in ABS Statistics Survey (CTASS)At least 85% level of trust in the ABS and ABS statistics2024-25
Number of statistics released free of significant errors¹100% of statistics are released free of significant errors2023-24 to
2026-27
1.2  International compliance - ABS statistics meet the standards for National and International Accounts, Labour Force, Unemployment, Consumer Price Index, and Estimated Resident Population
MethodTargetsYears 
measured
Compliance with International Monetary Fund (IMF) Special Data Dissemination Standard (SDDS)²IMF assess ABS to be 100% compliant with SDDS for in-scope collections2023-24 to 2026-27
1.3  Conduct the Census³ - implementation of the Census to deliver trusted data
MethodTargetsYears  measured
Complete public consultation on 2026 Census topicsPublish 2026 Census Topic Directions2023-24
Finalise 2026 Census topicsRegulations are updated to define Census topics2024-25
Successful completion of the 2026 Census test in 20252025 Census test is completed, and the evaluation report is agreed and accepted by the 2026 Census governance forum2025-26
Response rate to the 2026 Census95% response rate2026-27
Independent survey of user sentiment toward the 2026 Census

80% of the community support the Census

2026-27
Validation of the quality of 2026 Census data by the Independent Assurance Panel2026 data is of a comparable quality to previous Censuses2026-27

Priority 2: Generate timely new insights

2.1  Stakeholder needs are met - new statistics or insights are used to inform priority policy or decisions
MethodCase studies⁴Years 
measured
Case studies showing how new statistics or insights are used by clientsAustralian National Data Integration Infrastructure – A National Linkage Spine, Linkage Map, and initial datasets are being implemented to improve understanding of health and employment outcomes for people with a disability.

2023-24

 

 

Digital Atlas Project – improving the ability of citizens to access relevant local data for their area.

2023-24
 

Priority 3: Exercise leadership in the data landscape

3.1 Access to ABS data and statistics - access to data products and services
MethodTargets⁵Years measured
Composite index of channel access:⁶
  • Calls to API service
  • Number of DataLab sessions
  • Invoices for customised data services
  • Count of ABS website sessions
  • Registered users of TableBuilder

     108
     111
     114
     117

  2023-24
  2024-25
  2025-26
  2026-27

3.2  Delivery of data peer learning opportunities to APS employees⁷
MethodTargets⁸Years 
measured
Number of peer learning offerings delivered through, for example, specialist speaker series, Data Profession Technical Fora, and other data profession engagements.5 percent increase on benchmark2023-24  
 7.5 percent increase on benchmark2024-25
 10 percent increase on benchmark2025-26
 12.5 percent increase on benchmark2026-27

Priority 4: Reduce burden on data providers

4.1  Efficiency of statistical operations - improve efficiency with which data is collected
MethodTargets⁹Years 
measured
Case studies showing efficiencies made in  collecting data for statistical purposes


 
  1. Modernisation of Agricultural Statistics – ceasing large agricultural surveys and developing processes to produce future agricultural statistics using these new data sources together with smaller surveys to fill data gaps is expected to reduce burden on farmers and agricultural businesses by 97.5%.
2023-24



 
 
  1. Quarterly Business Indicator Survey – introduction of methodological changes to enable a reduction in sample size of 20% by leveraging administrative data.
2023-24

 
4.2  Burden on survey respondents - time taken to complete business surveys¹⁰
MethodTargets¹¹Years 
measured
Total time taken for survey respondents to complete business surveys13 percentage point decrease on benchmark2023-24
 17 percentage point decrease on benchmark2024-25
 21 percentage point decrease on benchmark2025-26
 25 percentage point decrease on benchmark2026-27
Footnotes:
  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. International Monetary Fund | Dissemination Standards Bulletin Board | SDDS Home Page (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. The ABS uses case studies based on Tier 1 (Significant) Projects and seeks to prioritise case study selection of those projects with a high likelihood of completion in the reporting period. Case study topics listed for this measure are reported against for only the first year covered by this Plan i.e. 2023–24. Each year, new case studies are selected for reporting against this measure.

  5. Based on a benchmark value of 100 in 2020–21.

  6. For each of the five channels, the count for the current year is divided by the count in the benchmark year (2020-21). The composite index is calculated by taking the average of each of the five channels and multiplying by 100.

  7. Based on a benchmark value of 13,839 in 2022–23.

  8. The targets for outyears have been revised from a one-off 5% increase on the benchmark in 2023-24, to an increase of 2.5% on the benchmark each year from 2023-24, to reflect strategies to grow the Data Profession.

  9. The ABS uses case studies based on Tier 1 (Significant) Projects and seeks to prioritise case study selection of those projects with a high likelihood of completion in the reporting period. Case study topics listed for this measure are reported against for only the first year covered by this Plan i.e. 2023–24. Each year, new case studies are selected for reporting against this measure.

  10. Based on a benchmark value of 338,964 hours in 2020–21.

  11. Targets have been revised to reflect refined estimates of when benefits will be realised from key projects. The targets for ‘percentage point decrease on benchmark’ in the ABS Corporate Plan 2022-23 were: 2023-24 = 13, 2024-25 = 20; and 2025-26 = 25.

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