Agricultural Commodities Report, March Quarter 2018 — Australian Wood Products Trade by Country
One row per trading-partner line in the wood products trade table of ABARES' 'Agricultural commodities: March quarter 2018' report. The `trade` column holds the partner country under an Exports section (China, Hong Kong, Japan, Rep. of Korea, Malaysia, New Zealand, Taiwan) and an Imports section (China, Finland, Germany, Indonesia, Malaysia, New Zealand, United States); year columns c_2011_12 through c_2016_17 hold the value of Australia's wood products trade in millions of Australian dollars ($m) for financial years 2011-12 to 2016-17. Frozen 17-row snapshot of a single report spreadsheet: it retains the two section-header rows and a trailing footnote row (year values are null on those rows, ~18% per column), and values may exclude trade suppressed under ABS confidentiality restrictions.

Source: ABARES · connector code
Get this dataset on your machine
subsets sync --bundle medium clones the mid-size tiers as queryable local tables — use --bundle large for the widest tier
pip install subsetsiosubsets sync --bundle small # or medium, or largesubsets serve # search + SQL at http://localhost:8080Free and open — the data syncs straight from the public bucket, and search + SQL run entirely on your machine. See docs →
Query it locally
Full docs →subsets serve # local API on http://localhost:8080
curl -s -X POST "http://localhost:8080/query" \
-H "Content-Type: application/json" \
-d '{"sql": "SELECT * FROM \"abares-agricultural-commodities-march-quarter-2018\" LIMIT 5"}'No account, no API key — the data syncs straight from bundles.subsets.io and every query runs on your machine. See the local API reference.