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OECD Data Filters: REF_AREA: AUS COUNTERPART_AREA: W UNIT_MEASURE: XDC TRADE_FLOW: X PRODUCT_TYPE: C ADJUSTMENT: Y TRANSFORMATION: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

OECD Descriptor ID: NAEXKP06 OECD unit ID: AUD OECD country ID: AUS All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

OECD Data Filters: REF_AREA: AUS MEASURE: EX UNIT_MEASURE: USD ACTIVITY: _T ADJUSTMENT: Y TRANSFORMATION: _Z FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.

Source ID: pl_x When using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt For more information, see http://www.rug.nl/research/ggdc/data/pwt/.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

Observations for the current and future years are projections. The IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis. For more information, please see the Regional Economic Outlook (https://www.imf.org/en/publications/reo) publications. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http://www.imf.org/external/terms.htm).

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

Exports plus Imports divided by GDP is the total trade as a percentage of GDP. For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: openc

Source ID: csh_x When using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt For more information, see http://www.rug.nl/research/ggdc/data/pwt/.

Further information related to the international trade data can be found at https://www.census.gov/foreign-trade/data/index.html Methodology details can be found at https://www.census.gov/foreign-trade/Press-Release/current_press_release/explain.pdf

Exports plus Imports divided by GDP is the total trade as a percentage of GDP. For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: openk

OECD descriptor ID: BPCRTD01 OECD unit ID: NCCUSA OECD country ID: AUS All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

OECD Descriptor ID: NAEXCP06 OECD unit ID: AUD OECD country ID: AUS All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.