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Source
Source Contact person/organisation Contact person/organisationAfrica Desk: dev.africa@oecd.org
Name of collection/source Name of collection/source Data on government sector receipts, and on taxes in particular, are basic inputs to most structural economic descriptions and economic analyses and are increasingly used in international comparisons. This annual database presents a unique set of detailed and internationally comparable data on both tax and non-tax revenue in a common format for African countries participating in Revenue Statistics in Africa.
Direct source Direct sourceCountry representatives authorized to obtain revenue data from the appropriate government departments and responsible for compiling the data and preparing data tables that adhere to the OECD tax classification.
Data Characteristics Data Characteristics Unit of measure used Unit of measure usedSwazi lilangeni (SZL)
Power code Power code
Millions
Variables collected Variables collectedRevenue Statistics in Africa, a collaboration of the AU, ATAF and the OECD, presents a unique set of detailed and internationally comparable tax and non-tax revenue data in a common format. The classifications and definitions used for this data are consistent with those used in Revenue Statistics, in Revenue Statistics in Latin America and the Caribbean, and Revenue Statistics in Asian Countries. It also provides a conceptual framework defining which government receipts should be regarded as taxes and classifies different types of revenues. Comparable tables show revenue data by type in US dollars, as a percentage of GDP, and, for the different types of revenues, as a share of total taxation and total non-tax revenues. Detailed country tables show information in national currency values.
Unless otherwise noted, all revenue data are on a cash basis.
Unless otherwise noted, all revenue data are on a cash basis.
Base period Base periodNote: Data are reported on a fiscal year basis beginning 1st July. For example, the data for 2015 represent July 2014 to June 2015.
Date last updated Date last updated10/10/2017
Link to Release calendar Link to Release calendarThis data is released at the same time as the annual OECD Revenue Statistics in Africa publication.
The latest edition became available in October 2017.
Concepts & Classifications Concepts & Classifications Key statistical concept Key statistical conceptThe revenues from the education loans’ repayments do not represent an increase of net worth resulting from a transaction and therefore are not considered as revenues under the OECD classification.
Transformations TransformationsThe GDP for Swaziland is adjusted using the following formula: GDP(n)*3/4+GDP(n+1))/4 in order to make it correspond more closely to an April(n)-to-March(n+1) fiscal year.
Africa Desk: dev.africa@oecd.org
Data on government sector receipts, and on taxes in particular, are basic inputs to most structural economic descriptions and economic analyses and are increasingly used in international comparisons. This annual database presents a unique set of detailed and internationally comparable data on both tax and non-tax revenue in a common format for African countries participating in Revenue Statistics in Africa.
Country representatives authorized to obtain revenue data from the appropriate government departments and responsible for compiling the data and preparing data tables that adhere to the OECD tax classification.
Swazi lilangeni (SZL)
Revenue Statistics in Africa, a collaboration of the AU, ATAF and the OECD, presents a unique set of detailed and internationally comparable tax and non-tax revenue data in a common format. The classifications and definitions used for this data are consistent with those used in Revenue Statistics, in Revenue Statistics in Latin America and the Caribbean, and Revenue Statistics in Asian Countries. It also provides a conceptual framework defining which government receipts should be regarded as taxes and classifies different types of revenues. Comparable tables show revenue data by type in US dollars, as a percentage of GDP, and, for the different types of revenues, as a share of total taxation and total non-tax revenues. Detailed country tables show information in national currency values.
Unless otherwise noted, all revenue data are on a cash basis.
Unless otherwise noted, all revenue data are on a cash basis.
Note: Data are reported on a fiscal year basis beginning 1st July. For example, the data for 2015 represent July 2014 to June 2015.
10/10/2017
This data is released at the same time as the annual OECD Revenue Statistics in Africa publication.
The latest edition became available in October 2017.
The revenues from the education loans’ repayments do not represent an increase of net worth resulting from a transaction and therefore are not considered as revenues under the OECD classification.
The GDP for Swaziland is adjusted using the following formula: GDP(n)*3/4+GDP(n+1))/4 in order to make it correspond more closely to an April(n)-to-March(n+1) fiscal year.