JSON RDF ISO19115-3 XML

Portfolio Additional Estimates Statements (PAES) 2014-15 - Tables and Data

Created 12/02/2015

Updated 20/03/2019

JSON RDF ISO19115-3 XML

The 2014-15 Budget is officially available at budget.gov.au as the authoritative source of Budget Papers (BPs) and Portfolio Budget documents. This dataset is a collection of Portfolio Additional Estimates Statements (PAES).

Data from the 2014-15 Budget are provided to assist those who wish to analyse, visualise and programmatically access the 2014-15 Budget. It is the first time this has been done as per [our announcement blog post] (http://www.finance.gov.au/blog/2014/04/24/budget-2014-in-data-form "Budget 2014 in data form blog post"). We welcome your feedback and comments below. Data users should refer to footnotes and memoranda in the original files as these are not usually captured in machine readable CSVs.

Information about the PBS Excel files and CSV

The PAES Excel files published include financial tables with headings and footnotes. Only the line item data (table 2.2) is available in CSV. Please note, total expenses reported in the csv file ‘2014-15 PAES line items dataset’ was prepared from individual agency programme expense tables.

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Additional Info

Field Value
Title Portfolio Additional Estimates Statements (PAES) 2014-15 - Tables and Data
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/cf6244f3-14c1-4ad5-a8f0-52b519bf6fa1
Contact Point
Department of Finance
Budget_Framework@finance.gov.au
Reference Period
Geospatial Coverage http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Portfolio Additional Estimates Statements (PAES) 2014-15 - Tables and Data". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/portfolio-additional-estimates-statements-2014-15-tables-and-data

Original dataset
Dataset copies

No duplicate datasets found.