Data

Introduction

The National Treasury Secure Data Facility (NT-SDF), established through the collaboration between the United Nations University World Institute for Development Economics Research (UNU-WIDER), the South African Revenue Service (SARS) and National Treasury (NT), provides researchers with partially anonymised tax data for research. South Africa is one of only a few countries globally to grant access to this type of data for research purposes. This is a unique opportunity as access to national administrative data for researchers outside of senior officials is rarely granted. The administrative data plays a central part in the SA-TIED programme and aims to inform policy formulation.

Data access

Located on the 20th floor of the NT building in Pretoria, the NT-SDF has a number of terminals available to researchers. Researchers with successful applications in response to calls for proposals, listed under the opportunities tab, can secure access the data to conduct their research. 

Apart from responding to the request for proposals, researchers can send proposals (max five pages) to the National Treasury (ntsdf@treasury.gov.za) to request access to the data. Proposals should outline the research question, the relevant literature, the proposed methodology, exact data requirements, and the anticipated time needed in the data lab. In addition, the researcher should ensure that their proposal illustrates their familiarity with papers on the tax data relevant to their proposal. This will ensure they understand the data limitations and place their proposed contribution into the tax data literature.

Data description

The de-identified tax data available at the NT-SDF includes our core datasets such as the Corporate Income Tax (CIT), Employee Income Payroll certificates (IRP5), Personal Income Tax (PIT), Customs, and Value Added Tax (VAT) datasets. These datasets are linked to specific SARS forms that generate the data. Below is a comprehensive list of the datasets which are available.

  • Common Reporting Standards
  • Corporate Income Tax panel (IT14 and ITR14 forms)
  • Customs (SAD500 and CD1 forms)
  •   Employer Reconciliation Declaration (EMP 501 form)
  •  Employee Income Payroll certificates (IRP5 form)
  • Excise Duties
  •  Individual income tax return (ITR12 form)
  • Labour Brokers (IRP30A form)
  • Monthly Employer Declaration (EMP201 form)
  • SARS Treasury Matched Firm (STMF) Panel (merged CIT, Employee Income Payroll certificates, Customs and VAT)
  • SARS Treasury Matched Individual Panel (merged Employee Income Payroll certificates and Individual income tax return)
  •  Value-Added Tax (VAT201 form)
  • Meta and dummy data for selected datasets are available at: https://www.treasury.gov.za/research/NT-SDF/Available%20Datasets/Default.aspx.

Data Security

The data are partially anonymised by masking identifying information (i.e., tax reference number, PAYE reference number, etc.). The aim here is to prevent anyone granted access to the tax data at NT-SDF from directly or indirectly identifying companies or individuals described by the data. The NT-SDF also offers additional security by requiring a non-disclosure agreement (NDA) and the Oath of secrecy before accessing the data. Furthermore, NT-SDF ensures that researcher output exported from the data facility does not contain potentially identifying information. Please refer to the “Standard Operating Procedure at the NT-SDF” document under the Data-Resources tab for more information on what information can be exported from the data lab.

Research

If you are planning on responding to an SA-TIED call for research proposals, please check the papers at the bottom of this page for completed, current, and ongoing research to avoid the duplication of existing research. Final papers resulting from the analysis of these data will be made available on our research page alongside all other SA-TIED final papers.

Some independent research studies have also been undertaken by staff at the National Treasury. An overview of this research can be accessed here.

Please feel free to send an email to: ntsdf@treasury.gov.za with additional questions regarding the data.

Working paper
Estian Calitz, Eva Muwanga-Zake, Alexius Sithole, and Wynnona Steyn
Nowadays, tax depreciation allowances are used less as instruments of macroeconomic stabilization and more as long-term measures to stimulate investment. This paper tabulates the types of accelerated depreciation allowances in South Africa and calculates the...
April 2020
Public revenue
Working paper
Aroop Chatterjee, Léo Czajka, and Amory Gethin
This paper estimates the distribution of personal wealth in South Africa by combining tax microdata, household surveys, and macroeconomic balance sheet statistics. We systematically compare estimates of the wealth distribution obtained by direct measurement of...
April 2020
Labour market and inequality
Working paper
Ada Jansen, Winile Ngobeni, Alexius Sithole, and Wynnon Steyn
A key objective of many governments is to improve tax revenue mobilization. One way to achieve this is by improving tax compliance. This requires accurate knowledge of the tax gap, i.e. the difference between what...
April 2020
Public revenue
Working paper
Francesco Amodio, Michele Di Maio, Yifan Li, and Patrizio Piraino
We study the relationship between product market competition and labour market outcomes in South Africa. We combine firm-level data from tax records with individual-level data from the labour force survey. We estimate markups across sectors...
March 2020
Labour market and inequality
Working paper
Lawrence Edwards and Ayanda Hlatshwayo
This paper uses detailed firm transaction data on manufactured exports to analyse the dilution of the real exchange rate-export relationship in South Africa over the period 2010 to 2014. Our empirical results show that firms...
February 2020
Enterprise development
Working paper
Ayanda Hlatshwayo, Friedrich Kreuser, Carol Newman, and John Rand
This paper uses matched employer-employee data from South Africa to examine the extent to which technology transfers between firms through the hiring of workers. Allowing for differential spillovers based on observable technology differences between sending...
February 2020
Enterprise development
Working paper
Hammed Amusa, Njeri Wabiri, and David Fadiran
Using comprehensive, anonymized tax administrative data for the 2008–14 period, we examine firm-level productivity in South Africa. Measures of firm-level productivity are included in a spatial autoregressive model that assesses spillovers from total factor productivity...
January 2020
Enterprise development
Working paper
Anmar Pretorius, Carli Bezuidenhout, Marianne Matthee, and Derick Blaauw
In South Africa, the manufacturing sector—important for growth and employment creation—has shown declining growth, poor productivity performance, decreased labour demand, and increased imports of intermediate goods (offshoring activities). Offshoring influences jobs and wages differently depending...
October 2019
Enterprise development
Working paper
Isaac Marcelin, Daniel Brink, David Oluwatosin Fadiran, and Hammed Adedeji Amusa
Employing the difference-in-differences technique, this study examines the impact of the Employment Tax Incentive programme on a large sample of South African firms from 2011 to 2016. It finds that programme firms expanded investments by...
July 2019
Public revenue