Historical government aid trend data (prior to 2013) for absolute aid, aid/GNI, and aid per capita come from DFAT, and can be found in this spreadsheet, which is housed on this webpage. The exception is data from 1961-62 to 1970-71, which has been drawn from various Australian Bureau of Statistics Yearbooks (methodology detailed here). Subsequent aid volume data and projections come from the most recent portfolio budget statements, which can be found here.
Relevant GNI data and inflation data, and their sources can be obtained from this spreadsheet.
Population data (used to calculate aid per capita and donations per capita) come from the OECD’s International Development Statistics (IDS) online databases. The data come from Table 1. To obtain the data filter for ‘Population’ using the ‘Aid Type’ filter.
Government aid as a share of Federal spending was calculated using the same aid data described in the first paragraph of this section. Total Federal spending data come from Federal budget documents which can be found here.
Data on donations to Australian NGOs come from ACFID annual reports, augmented by additional older data provided to the Development Policy Centre.
All data on this page come from come from the OECD’s International Development Statistics (IDS) online databases. The data come from Table 1. Using the ‘Aid Type’ filter will provide you the different data types used on this page. Rankings were calculated based on the data available in the IDS database.
Although the OECD provides aid data back to the 1960s, in the earlier years there are some large discrepancies between this data and Australian government data. That is why we only show the comparisons back to 1995. There might still be some small discrepancies in the remaining years between the data for Australia shown in this section (from the OECD) and the data shown in the Trends section which is from the Australian government (see above). Small discrepancies might also arise due to the fact that this section uses calendar years (e.g. January to December 2014) whereas the section on trends uses the fiscal year (e.g. July 2013 to June 2014).
Data for the sections ‘Share of total aid from DAC donors to Pacific (Oceania) countries’ and ‘Australian ODA to the Pacific as a percentage of recipient’s Gross National Income’ come from the OECD’s International Development Statistics (IDS) online databases. The data come from Table 2A of the OECD’s International Development Statistics (IDS) online databases. Either use the ‘Donor’ filter or re-arrange the table fields using ‘Customise’ and ‘Layout’ to extract these numbers.
In instances a specific source for commitments data is given on one of the commitments pages. Where an explicit source is not given, the following sources have been used.
Gavi funding data can be found on this page of the Gavi website (look for the ‘Annual contributions and proceeds’ spreadsheets).
The Global Fund
Data on contributions to the Global Fund can be found on this page of the Global Fund’s website.
World Bank IDA
Data for the various IDA replenishment rounds can be found in PDFs linked to from this page. Individually the source documents for the IDA data are at the following locations (PDF files):
17th replenishment round
16th replenishment round (or alternate source)
15th replenishment round
14th replenishment round
13th replenishment round
12th replenishment round
Global Partnership for Education
At the time of writing (18/1/16) the Global Partnership for Education provided disappointingly little information on funding on its website. As a result data were pulled together from this DFAT webpage and this Devpolicy Blog (written at a time when more information was available).
Asian Development Bank
Sectors & partners
Except for information on admin costs and the category ‘Refugees in Donor Countries’ the data for the ‘Sectors’ section of the Sectors and Partners page comes from Table 5 of the OECD’s International Development Statistics (IDS) online databases. The data come, from Table 5 filtered for Australia. We then mapped the extracted data from the OECD sector codes to sector names more readily intelligible to the casual user. If you want to see how we mapped from OECD codes to more intuitive categories please email us.
The information on administration costs and the category ‘Refugees in Donor Countries’ came from the OECD’s Creditor Reporting System. By clicking on the ‘Customise’ hyperlink and then the ‘Layout’ hyperlink we re-ordered the table so that it filtered for donor (and we then filtered for Australia) and that it displayed sectors in the table rows. We then drew data from code 930 (Refugees in Donor Country, Total) and code 910 (Administrative Costs of Donors, Total). We netted these amounts out of the total “Other” category in the data from Table 5. CRS data are less complete than Table 5 data, therefore the figures for these two categories should treated as less reliable than the other categories in this chart.
Some details on data sources is provided in the humanitarian aid section itself. Of the other data used, the data for the international comparisons come from the Global Humanitarian Assistance website here (select Dataset 1) and from UNOCHA’s Financial Tracking Service here.
The data on partners come from this spreadsheet, which is derived from spreadsheets on this page of the DFAT website. We add together the totals on aid by partner (in Table 2) for aid appropriated to DFAT with aid by partner (in Table 3) for aid appropriated to other government departments, assuming, in the latter case, that aid appropriated to other government departments not transferred to multilaterals is spent by those other government departments.
In the section ‘How much aid is given globally?’, there is a calculation of total global aid flows from those countries that provide data. All data comes from the OECD’s International Development Statistics (IDS) online databases.
The data for the donor side of the equation come from come from Table 1. They were calculated by adding the categories ‘I. OFFICIAL DEVELOPMENT ASSISTANCE (I.A + I.B)’ and ‘IV. NET PRIVATE GRANTS’ and dividing them by GNI (all categories are available in this table). Data are for 2013. For this calculation ‘Fund flows’ were set at ‘Net Disbursements’. The figure ‘All Donors Total’ was used.
The data for the recipient side of the equation was taken from Table 2A. Data were combined for DAC countries and multilateral donors. Data were just for recipient countries and exclude regional aid pools.