本帖最后由 bobova 于 2015-12-17 10:08 编辑
Real property transactions 1985-2017 data matching program protocol
1 Data matching guidelinesThe Australian Taxation Office (ATO) is committed to voluntarily complying with theGuidelines on data matching in Australian government administration (2014) (Guidelines) published by the Office of the Australian Information Commissioner (OAIC). The real property transactions data matching program protocol is prepared and published in accordance with these Guidelines. 2 OverviewThe ATO uses data from the state and territory authorities responsible for revenue, land titles and residential tenancy bonds to assist taxpayers in meeting their capital gains and obligations under other taxation laws and programs administered by the ATO. This is achieved through prefilling income tax returns, educational strategies and compliance activities. The ATO had conducted this program for more than 10 years. The ATO intends to continue to match the data collected from the state and territory agencies with data it holds under this program. This is an ongoing data matching program and the states and territories provide the data within an agreed delivery program. As a taxpayer may hold real property for a number of years before disposing of it, a complete real property transaction history dating back to 20 September 1985 (the introduction of the capital gains tax regime) is required. The transaction history allows for a more accurate quantification of any capital gain. In the 2013-14 Federal Budget the government announced that it would legislate to make the reporting of real property transfers to the ATO mandatory in the future. The current government confirmed that it would proceed with this measure, applying from the 2016-17 financial year onward. From 2017, once this legislation is enacted in Tax and Superannuation Laws Amendment (2015 Measures No. 5) Bill 2015, there will no longer be a need for the ATO to publish this data matching program protocol for property transfer information as the provision of this data will by then be required of the States and Territories under that legislation. 3 Purpose & objectives3.1 PurposeThe purpose of this data matching program is to ensure that taxpayers are correctly meeting taxation and other program obligations administered by the ATO in relation to their dealings with real property. These obligations include registration, lodgment, reporting and payment responsibilities. 3.2 ObjectivesThe objectives of the real property transactions data matching program are to: - promote voluntary compliance and strengthen community confidence in the integrity of the taxation and superannuation systems and other programs administered by the ATO
- obtain intelligence about the acquisition and disposal of real property and identify risks and trends of non-compliance across the broader compliance program
- identify a range of compliance activities appropriate to address risks with real property transactions by taxpayers and others that are required to notify the ATO of dealings in real property
- work with real property intermediaries to obtain an understanding of risks and issues as well as trends of non-compliance
- support compliance strategies to minimise future risks to revenue
- ensure compliance with registration, lodgment, correct reporting and payment of taxation, superannuation and other obligations.
4 Agencies & entities involved4.1 Matching & primary user agencyThe ATO is the matching agency and will generally be the sole user of the data. The data matching program will be conducted using the ATO’s secure computer systems and in accordance with approved policies and procedures. In very limited and specific circumstances as contained in Division 355 of Schedule 1 to the Taxation Administration Act 1953, the ATO may provide individual records to other agencies, including state and territory revenue authorities and law enforcement agencies. These other agencies include those responsible for: - administering social welfare, health and safety programs for the purposes of determining eligibility to certain types of benefits and rebates
- overseeing superannuation funds, corporations and financial market operators to ensure compliance with prudential regulations
- determining entitlement to rehabilitation and compensation payments.
Each request for information by these other government agencies will be assessed on its merits and must be for an admissible purpose allowed for by taxation laws. 4.2 Source entitiesData will be obtained from: New South Wales Office of State Revenue | New South Wales Department of Finance & Services – Land & Property Information | New South Wales Office of Fair Trading – Rental Bond Board | Victorian State Revenue Office | Residential Tenancies Bond Authority – Consumer Affairs Victoria | Australian Capital Territory Environment & Planning Directorate | Australian Capital Territory Office of Regulatory Services (Land Titles Office) | (Northern) Territory Revenue Office | Northern Territory Department of Lands, Planning and the Environment | Queensland Office of State Revenue | Queensland Residential Tenancies Authority | Tasmanian Department of Primary Industries, Parks, Water & Environment | Tasmanian State Revenue Office | Department of Justice – Tasmania | Revenue SA | South Australian Department of Planning, Transport & Infrastructure – Land Services Group | Western Australian Office of State Revenue | Western Australian Land Information Authority – Landgate |
In accordance with Guideline 5.9 the ATO has also advised the source agencies to take reasonable steps to notify the general public of their participation in this data matching program. To assist with this, the ATO has: - provided written materials that the data provider can tailor advising of their participation in this program
- advised the data providers to update their privacy policies to note that personal information is disclosed to the ATO for data matching purposes.
5 Data issues5.1 Data elementsThe ATO will obtain the following data items from the source agencies for the period 20 September 1985 to 30 June 2017: Rental bond authoritiesRental bond number or identifier for the rental bond | Unique identifier of the landlord | Full name of the landlord | Full address of the landlord | Date of birth of the landlord | Contact telephone number for the landlord | Unique identifier of the managing agent | Full name of the managing agent | Full address of the managing agent | Unique identifier of the rental property | Full address of the rental property | Period of lease | Commencement and expiration of the lease | Amount of rental bond held | Number of weeks of rent the rental bond is for | Amount of rent payable for each period | The rental payment period (weekly, fortnightly, monthly) | Type of dwelling | Number of bedrooms |
| Revenue and land titles authoritiesDate of property transfer | Full street address of the property transferred | Municipality identifier of the property transferred | Property sale contract date | Property sale settlement date | Property land area | Property sub-division date | Total property transfer price | Land usage code | Transferor’s full name | Transferor’s full address | Transfer property share percentage and manner of holding | Transferor’s date of birth | Transferor’s Australian Company Number (ACN) or Australian Business Number (ABN) | Transferee’s full name | Transferee’s full address | Transferee’s property share percentage and manner of holding | Transferee’s date of birth | Transferee’s ACN or ABN | Land tax and applicable exemption details | Purchase duty and applicable exemption details | Valuation details | 5.2 Number of recordsIt is estimated the total number of records that will be obtained is: - rental bond authorities – 1 million records for each year
- revenue and land titles offices – approximately 30 million records for each year.
Based on current data holdings it is estimated these records identify approximately 11.3 million unique individuals. 5.3 Data qualityState and territory laws require all property transfers to be recorded so that the appropriate stamp duty can be calculated and the correct legal entity is recorded as owning the property on title deeds. The data maintained by the states and territories will be of high quality as there are legal ramifications that may impact on a number of external bodies such as banks (where title deeds are sought as collateral) and municipal councils (in application of rates notices) if ownership is not recorded correctly. Data will be transformed into a standardised format and validated to ensure it contains the required data elements prior to loading to ATO computer systems. 5.4 Data integrityThe ATO uses sophisticated identity matching techniques to ensure we identify the correct taxpayer when we obtain data from third parties. This technique uses multiple details to obtain an identity match. For example, where an Australian business number (ABN), name, address and date of birth are available all items are used in the identity matching process. Very high confidence matches will occur where all fields are matched to a taxpayer in ATO systems. Additional manual processes may be undertaken where high confidence identity matches do not occur, or a decision is taken to destroy the data with no further action. Where administrative action is proposed, additional checks will take place to ensure the correct taxpayer has been identified. Taxpayers will be provided with the opportunity to verify the accuracy of the information before any administrative action is taken. 5.5 Data securityATO staff are subject to the strict confidentiality and privacy provisions contained in Division 355 of Schedule 1 to the Taxation Administration Act 1953 and include terms of imprisonment in cases of serious contravention of these provisions. All ATO computer systems are strictly controlled with features including: - system access controls and security groupings
- login identification codes and password protection
- full audit trails of data files and system accesses.
The ATO will utilise its secure internet-based data transfer facility to obtain the data from source agencies. 6 Discrepancy matching6.1 Matching processThe identity matching process is described above under ‘data integrity’ and is the first step in the matching process. Data analysts use various models and techniques to detect potential discrepancies, such as under-reported income or over-reported deductions. Higher risk discrepancy matches will be loaded to the ATO’s case management system and allocated to compliance staff for actioning. 6.2 Quality assuranceQuality assurance processes are integrated into ATO processes and computer systems and are applied throughout the data matching cycle. These assurance processes include: - registering the intention to undertake a data matching program on an ATO internal register
- obtaining approval from the data matching gatekeeper and relevant Senior Executive Service officers prior to any activity being undertaken
- conducting program pilots or obtaining sample data to ensure the data matching program will achieve its objectives prior to full data sets being obtained
- notifying OAIC of our intention to undertake the data matching program and request permission to vary from the data matching guidelines, when appropriate
- maintaining access management logs recording details of who has access to the data, why access is required and how it will be used
- processes embedded into compliance activities, such as:
- review of risk assessments, taxpayer profiles and case plans by senior officers prior to client contact
- ongoing reviews of cases by subject matter technical experts at key points during the life cycle of a case
- regular independent panel reviews of samples of case work to provide assurance of the accuracy and consistency of case work.
These processes ensure data is collected and used in accordance with the ATO’s data management policies and principles, and meets OAIC’s data matching Guidelines. 7 Previous programsThis is an ongoing data matching program that the ATO has conducted for more than 10 years. During the 2014-15 financial year, the ATO identified over 8,000 cases where real property dealings had not been treated correctly and raised an additional $161 million in revenue. This demonstrates the effectiveness of this program in protecting public revenue. |