Statistics Canada Fertilizer Shipments
Statistics Canada Fertilizer Shipments
Statistics Canada table 32-10-0039-01 provides annual cumulative fertilizer shipments to Canadian agriculture markets as CSV in a bulk ZIP, with geography, nutrient, fertilizer-year period, metric-tonne value, status and vector fields. It covers nitrogen, phosphate, potash and sulphur and needs no key.
Required Attribution:
Source: Statistics Canada, Fertilizer shipments to Canadian agriculture markets, by nutrient content and fertilizer year, cumulative data, reference date. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.
Coverage
The table runs from fertilizer year 2006/2007 through 2025/2026 and contains Canada plus nine regional or provincial geographies. It is annual, with cumulative July-to-September, July-to-December, July-to-March and July-to-June periods; the page was modified September 17, 2026.
Verdict
This is a demand and distribution signal for fertilizer nutrients entering Canadian farm markets. The periods are cumulative within each fertilizer year, so summing them would double-count shipments. Published values use a thousands scalar and regional groupings are uneven, limiting direct province-by-province comparisons. Its annual cadence makes it contextual rather than a live logistics signal.
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Use in your agent
Load Canadian fertilizer shipments into pandas and Parquet. Checked against the provider's documentation on Nov 1, 2026.
Access
- No account or key. The official bulk ZIP contains the full CSV and a metadata CSV.
Request
curl -O 'https://www150.statcan.gc.ca/n1/en/tbl/csv/32100039-eng.zip'Format
ZIP containing a CSV with reference year, geography, nutrient, cumulative period, unit, scalar, vector, value and status fields, plus a metadata CSV.
Load into pandas and Parquet
Needs Python 3 with requests, pandas and pyarrow.
"""Statistics Canada fertilizer table 32-10-0039-01 -> pandas -> Parquet."""
import io
import zipfile
import requests
import pandas as pd
URL = "https://www150.statcan.gc.ca/n1/en/tbl/csv/32100039-eng.zip"
r = requests.get(URL, timeout=60)
r.raise_for_status()
with zipfile.ZipFile(io.BytesIO(r.content)) as z:
df = pd.read_csv(z.open("32100039.csv"))
df.to_parquet("statcan_fertilizer_shipments.parquet", index=False)
print(len(df), "rows", df["REF_DATE"].min(), "to", df["REF_DATE"].max(),
df["GEO"].nunique(), "geographies", df["Fertilizer nutrient content"].nunique(), "nutrients")Run by us on 2026-11-01 (python 3.13.5 | pandas 3.1.0 | pyarrow 26.0.0 | requests 2.34.2). Result: 3200 rows 2006/2007 to 2025/2026 10 geographies 4 nutrients
Limits
- Rate limit: Not stated.
- The table is annual and uses four cumulative checkpoints within each fertilizer year.
- The tested bulk file contains 3,200 rows.
Quirks
- The four Period values are cumulative checkpoints; do not add them together.
- VALUE is expressed in metric tonnes with SCALAR_FACTOR set to thousands, so preserve or apply the scalar explicitly.
- Geographies mix individual provinces with regional aggregates.
Terms and attribution
- The Statistics Canada Open Licence permits reuse and value-added products under its conditions.
- The specified Statistics Canada source notice must be maintained.
Sources
- https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210003901: “Data on fertilizer shipments within Canada by nutrient content such as nitrogen, phosphate, potash and sulphur.”
- https://www.statcan.gc.ca/en/terms-conditions/open-licence: “Statistics Canada grants you a worldwide, royalty-free, non-exclusive licence”
- https://www.statcan.gc.ca/en/terms-conditions/open-licence: “Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.”
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