IFASTAT - Global Fertilizer and Raw Materials Statistics
Datadory delivers fertilizers & agricultural chemicals data covering the International Fertilizer Association's IFASTAT statistics: fertilizer consumption for 133 countries across nitrogen, phosphate and potash from 1961 to 2024, regional capacity for ammonia, urea, phosphates and potash, ammonium nitrate production and trade from 2013, and the current medium-term outlook. Get a sample of this dataset and inspect the rows before you commit.
What is IFASTAT?
IFASTAT is the International Fertilizer Association's statistical database of global fertilizer capacity, production, trade and consumption - the fertilizer industry's own statistical authority, compiled by IFA's Market Intelligence service and cited by the FAO, the USDA and academic researchers. Relaunched in April 2026, it consolidates six decades of nutrient statistics behind dynamic dashboards, a reports library and a query layer whose product-level detail reaches back to 1973.
The numbers carry weight because of how they are built. Consumption comes from an annual IFA survey of contacts in 45-50 countries representing roughly 85-90% of global fertilizer use, supplemented by national statistics and apparent-consumption arithmetic (production + imports - exports - technical/industrial use). Around that core sit regional capacity series for ammonia, urea, processed phosphates, potash and phosphate rock, a 2013-2024 production/imports/exports/apparent-consumption file for ammonium nitrate and calcium ammonium nitrate, and IFA's current short-term and medium-term (2026-2030) fertilizer outlooks.
Get a sample of this dataset and Datadory returns rows shaped exactly like the dictionary below, cut for the countries and nutrients you name.
What do IFASTAT rows look like?
Rows exactly as they arrive - four observations from the nutrient-totals consumption file:
Nutrient Region Country ISO3 Year Grain Unit Indicator Value
---------- ----------- ------------ ---- ---- ----- ---------------- ----------------------- ------
Nitrogen West Asia Afghanistan AFG 1964 A '000 tonnes N Fertilizer consumption 0.10
Phosphorus West Asia Afghanistan AFG 1964 A '000 tonnes P2O5 Fertilizer consumption 0.10
Potassium Africa Zimbabwe ZWE 2024 A '000 tonnes K2O Fertilizer consumption 44.78
Nitrogen Africa Zimbabwe ZWE 2024 A '000 tonnes N Fertilizer consumption 90.11Six decades in four lines. Afghanistan's 1964 entries record essentially no measured fertilizer use - tenths of a thousand tonne across both N and P2O5 - while Zimbabwe's 2024 nitrogen figure of 90.11 thousand tonnes describes a national market that barely existed when the series began. Every row is one country x nutrient x year observation, unit-tagged so tonnes of N never blur into tonnes of K2O, which is what lets all 19,871 headline rows join into a single demand panel without cleaning gymnastics.
What fields does the IFASTAT field dictionary define?
Nine documented fields carry the headline consumption file. Each definition below is verified against the dataset's own specification, and the example column shows where the field sits in real records.
Additional fields on request: the regional capacity columns for ammonia, urea, processed phosphates, potash and phosphate rock; the production, import, export and apparent-consumption columns from the ammonium nitrate / calcium ammonium nitrate file; and product-level breakdowns beneath the nutrient totals. Deeper columns are confirmed against live records when we prepare your sample - which is also where column-level naming gets locked down for your pipeline.
Where does IFASTAT coverage run, and at what grain?
Three chips summarize the footprint:
- Geography: global, at 133 countries grouped into 10 IFA regions - West Europe, Central Europe, Eastern Europe & Central Asia, North America, Latin America, Africa, West Asia, South Asia, East Asia and Oceania. The consumption file breaks to country level; the capacity and production/trade series publish as regional totals.
- Time frame: consumption spans 1961-2024, sixty-four consecutive years, with product-level consumption from 1973. Supply-side series - capacity, production and trade - start in 2000, the ammonium nitrate/CAN file covers 2013-2024, and the outlook reports reach forward through 2030.
- Granularity: annual rows keyed on country x nutrient x year. Reference periods mix calendar years with fertilizer-campaign years (July-June in some countries), and the granularity code flags which applies per row.
Set against the wider Datadory catalog - where the average quality score across all 1,744 datasets is 7.81 - this slice scores 8/10, carried by its verified nine-field dictionary and the sheer length of the consumption record.
How is IFASTAT delivered through Datadory?
API, files, or your warehouse. Daily, weekly, or hourly.
You pick the channel and the cadence; the rows arrive identical either way - cleaned, typed and documented against the field dictionary above. The wide regional capacity workbooks reshape into tidy long form on arrival, the consumption file joins to your crop, price or parcels panels on country, nutrient and year, and outlook-report figures land as structured rows instead of slide decks. Cadence changes are a settings conversation, not a re-integration project.
Who builds on IFASTAT data?
Ranked by how directly the collection answers their day job:
- Market researchers & consultants. Nutrient demand by country and region since 1961 is the baseline under most crop-input market sizings, backed by a survey covering roughly 85-90% of global fertilizer use. Fertilizers & agricultural chemicals for market researchers
- Investors & quant researchers. Regional capacity additions lead price cycles: new ammonia and urea capacity shows up in these series before it shows up in producer margins. Fertilizers & agricultural chemicals for investors and quants
- Data scientists & ML engineers. A 64-year country x nutrient x year panel with consistent unit tagging is rare training material for demand-forecasting models, and 19,871 headline rows join cleanly against crop and price series. Fertilizers & agricultural chemicals for data scientists
- Journalists & academics. The FAO and USDA cite these figures; when a story or paper needs an authoritative consumption number, this is the same well they draw from. Fertilizers & agricultural chemicals for journalists and academics
- Competitive intelligence, sales and developer teams. Where producing capacity concentrates, which regions add phosphate versus potash, and how consumption tracks population all make concrete qualification and integration material.
For contrast within the same industry: FAOSTAT Fertilizers by Nutrient mirrors the country-level consumption story from a UN statistical office, and Our World in Data's fertilizers series repackages it for exploration - neither carries the association's own capacity and production-trade files.
What should you know before relying on it?
Four things worth knowing upfront. First, the reference-period split: calendar-year reporters sit beside July-June campaign-year reporters, and the granularity flag is the only thing keeping them comparable - normalize before quoting growth rates. Second, consumption here means plant-nutrition use only; animal feed and technical or industrial applications are excluded by definition, so industrial-demand studies need a different lens. Third, the supply-side files publish as regional totals - ammonia, urea, processed phosphate, potash and phosphate rock capacity arrive per region, not per plant or per country - so country-level capacity questions ride on the sample route rather than the headline series. Fourth, apparent-consumption years inherit every distortion in the trade accounts behind them. None of this touches the core consumption ledger, which rests on a survey covering roughly 85-90% of global fertilizer use.
Which notes pair with this dataset?
Notes and adjacent datasets that pair well with this page:
- FAOSTAT Fertilizers by Nutrient - the UN's country-level mirror of the same consumption concept; a natural second opinion.
- Our World in Data - Fertilizers - the explorable repackaging, handy for charting and sanity checks.
- The Fertilizer Institute - Market Intelligence Statistics - the North American industry counterpart for US-centric supply questions.
- IndexMundi fertilizer commodity prices - monthly price context to lay alongside the volume record.
- DEFRA vs IFASTAT comparison - UK farm-practice survey detail against the global statistical ledger.
- Best fertilizers & agricultural chemicals datasets - the ranked shortlist across every cataloged source in the industry.
- Fertilizers & agricultural chemicals data hub - every dataset, use case and persona page for the industry in one place.
IFASTAT field dictionary: core consumption-file fields, types, definitions and examples
| Field | Type | Definition | Example |
|---|---|---|---|
| Nutrient | enum | Plant nutrient measured: Nitrogen, Phosphorus (as P2O5) or Potassium (as K2O). | Nitrogen |
| Region | string | IFA statistical region the country belongs to. | West Asia |
| Country | string | Country name for the consumption observation. | Afghanistan |
| Country Alpha-3 code | string | ISO 3166-1 alpha-3 country code. | AFG |
| Year | integer | Calendar or fertilizer-campaign year of the observation (1961-2024). | 1964 |
| Granularity | string | Time granularity code; A = annual. | A |
| Unit | string | Unit of measure for the value: thousands of tonnes of N, P2O5 or K2O. | '000 tonnes N |
| Indicator | string | Measure name; fertilizer consumption (plant nutrition uses, excluding animal feed and technical uses). | Fertilizer consumption |
| Value | number | Fertilizer consumption quantity in the stated unit. | 0.10 |
Questions buyers ask
What does the IFASTAT global fertilizer statistics dataset contain?
Six decades of global fertilizer statistics from the International Fertilizer Association: consumption of nitrogen, phosphate and potash for 133 countries from 1961 through 2024, regional capacity series for ammonia, urea, processed phosphates, potash and phosphate rock, a 2013-2024 ammonium nitrate and CAN production-and-trade file, and short-term plus 2026-2030 medium-term outlook reports.
How far back does the fertilizer consumption series go?
Nutrient-total consumption runs from 1961 to 2024 - sixty-four annual observations per country and nutrient, 19,871 rows in the headline file alone. Product-level consumption detail reaches back to 1973, while capacity, production and trade series start in 2000, so long-run demand history and shorter supply-side history coexist in one collection.
Which countries and regions does IFASTAT cover?
133 countries, each mapped to one of ten IFA statistical regions: West Europe, Central Europe, Eastern Europe and Central Asia, North America, Latin America, Africa, West Asia, South Asia, East Asia and Oceania. Regional aggregates matter beyond convenience - the capacity and production-trade series publish at regional level rather than per country.
What is apparent consumption in IFASTAT?
A derived measure: domestic production plus imports, minus exports and technical or industrial use. It fills gaps where survey coverage runs thin, and it explains why a single year's consumption print can jump when trade flows swing. Treat apparent-consumption years as estimates and pair them with the surveyed series before modeling.
Do calendar-year and split-year countries mix in one series?
They do. Reference periods vary by country - some report calendar years, others a fertilizer campaign running July to June - and the granularity field flags which applies on every row. Normalize before building panels: a naive year-on-year comparison between a calendar-year and a campaign-year country can be off by half a season.
Can I evaluate IFASTAT rows before committing?
That is exactly what the sample is for. Request a sample of this dataset and Datadory returns records matching the field dictionary above, populated for the countries, nutrients and years you select, with any on-request columns confirmed against live values before anything recurring is switched on.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.