Timber REITs Data Guide: 12 Datasets & Top Sources (2026)

Timber REIT data splits between Wall Street and the woods. Datadory catalogs 12 datasets for the industry — 8 primary records plus 4 related entries pooled in from neighboring industries — spanning filing-level fundamentals, quote history and plot-level forest inventory.

The market side concentrates on four registrants. SEC EDGAR XBRL Company Facts API — Weyerhaeuser (CIK 106535) delivers every tagged fact for Weyerhaeuser, Rayonier, Rayonier Advanced Materials and PotlatchDeltic — roughly 3.5 MB of JSON per company holding 662 us-gaap concepts for WY, 620 for RYN and 506 for PCH. Quote pages from Yahoo Finance (quality score 8) and Nasdaq (7) cover WY and RYN with OHLCV and dividends, Yahoo adding adjusted close, and Alpha Vantage rounds out the group with an as-traded daily OHLCV feed.

The woods side comes from two official statistical publishers, both scoring 9 out of 10. USDA Forest Service FIA DataMart ships plot- and tree-level inventory for all 50 states across roughly 59 table types, where a single state's TREE CSV can reach 541 MB, and FAO Forest Product Statistics publishes 2,457,869 annual production and trade rows covering 1961 through 2024 across 104 item codes and 285 areas.

Granularity splits just as cleanly: filings run fact-level, quotes run session-level, and the government statistics ladder from plot-and-tree rows up to country-product-year aggregates. Quality holds up across the split — the slice averages 8.0 on Datadory's 10-point rubric against the 7.81 catalog-wide mean, with five of the eight scoring 8 or higher. Every record sits on the timber-reits data hub.

The 8 primary records sort into four working groups: filings-based fundamentals, quote and market pages, one daily price feed, and government statistics covering the physical asset base.

Filings-based fundamentals

SEC EDGAR XBRL Company Facts API — Weyerhaeuser (CIK 106535) (quality score 9) is the anchor record. One pull returns every XBRL fact the registrant has tagged — revenues, TimberAndTimberlands balances, depletion charges, share counts — as fact-level series in which each observation repeats for every filing that reported it, reaching roughly 2009 onward where the tagging mandate era begins. The Weyerhaeuser record alone holds 662 us-gaap concepts; the identical pattern serves Rayonier with 620 (CIK 52827) and PotlatchDeltic with 506 (CIK 1338749), plus Rayonier Advanced Materials at CIK 1597672, so one parsing routine covers the whole listed sector in roughly 3.5 MB of JSON per company. Payloads arrive as structured JSON keyed by concept, period and filing.

Quote and market pages

• Yahoo Finance — Weyerhaeuser (WY) Quote & History (quality score 8). The chart series serves OHLCV plus adjusted close at intervals from 1m to 1mo, and range=max reaches back to WY's 1973 first trade date — roughly 13,000 sessions, deep enough for full-cycle backtests.
• Yahoo Finance — Rayonier (RYN) Quote & History (quality score 8). Mirrors the WY pattern while adding REIT dividend yield and statistics for RYN, with history running to the 1997 spinoff era.
• Nasdaq Market Activity — Weyerhaeuser (WY) (quality score 7). Combines real-time last sale and bid/ask with key stats, chart series, a historical OHLCV table of roughly 252 rows per year, financials and dividend data. The historical table accepts arbitrary fromdate/todate windows back through listing history, with ten years the typical UI limit.
• Nasdaq Market Activity — Rayonier (RYN) (quality score 7). Replicates the WY page structure for RYN, including the same historical-window behavior and dividend detail.

The daily price feed

Alpha Vantage API — TIME_SERIES_DAILY (WY example) (quality score 7) rounds out the market side, returning raw as-traded daily OHLCV as JSON or CSV. Output comes in two depths — a compact view trimmed to the latest 100 sessions for quick screens, and a full-history view running 20-plus years, about 5,250 sessions per ticker — so a screen and a backtest can pull from the same feed at different resolutions.

Government statistics for the physical asset base

• USDA Forest Service FIA DataMart (quality score 9). Per-state CSV, ZIP and SQLite distributions of the Forest Inventory and Analysis Database (currently FIADB_1.9.2.00): plot, tree, condition, seedling and population tables joined through CN keys, with estimates rolling up to evaluation units. Roughly 59 table types ship per state; Alabama's TREE CSV alone reaches 541 MB while a full-state bundle like AK_CSV.zip runs about 82 MB compressed. Observed panels span 1984 collections through the 2022-2024 cycles, and plot coordinates are deliberately fuzzed on non-public plots below plot number 40,000.
• FAO Forest Product Statistics (quality score 9). The normalized all-data file carries 2,457,869 rows — one per country × product × element × year — spanning 104 item codes, 285 areas plus FAO regional aggregates and 8 elements, annually from 1961 to 2024 in the April 2026 release. It ships as a ~319 MB CSV or an 18 MB zip; the series feed the FAOSTAT FO (forestry production and trade) and FOP (pulp and paper capacities) domains.

Four related entries extend the pool to 12: the FTSE Nareit US Real Estate Index Series (LSEG / FTSE Russell) for sector-benchmark returns, the Nareit REIT Market Data Reports Hub and Nareit Data & Research Hub - REIT Market Data Portal for REIT-wide statistics, and FAOSTAT Forestry - Forest Production and Trade for the domain-level series behind FAO's portal.

Each major timber-REIT workflow maps to named records rather than generic categories:

1. Backtest timber REIT price strategies. Yahoo Finance — Weyerhaeuser (WY) Quote & History exposes roughly 13,000 daily sessions since the 1973 first trade date with adjusted close, while the Rayonier (RYN) page runs to the 1997 spinoff era. Intervals from 1d up to 1mo let you match the sampling frequency a strategy actually assumes.
2. Pull point-in-time fundamentals for the whole sector. SEC EDGAR XBRL Company Facts API carries fact-level series for Weyerhaeuser (662 us-gaap concepts), Rayonier (620), Rayonier Advanced Materials and PotlatchDeltic (506), each fact repeated per filing from roughly 2009 onward — so a model can read the value as reported at each filing date instead of only the latest restatement.
3. Track disclosed timberland values and depletion. The EDGAR company-facts payload holds TimberAndTimberlands balance, depletion and revenue concepts per filer, so analysts rebuild balance-sheet trends without parsing 10-K PDFs.
4. Estimate standing volume and biomass around company holdings. USDA Forest Service FIA DataMart joins tree-level and plot-level tables via CN keys and rolls estimates up to evaluation units per state; panels run from 1984 collections to the 2022-2024 cycles across all 50 states.
5. Model global wood supply and demand. FAO Forest Product Statistics contributes 2,457,869 rows of annual roundwood, sawnwood, pulp and paper production and trade across 285 areas for 1961-2024, feeding FAOSTAT domains FO and FOP — the demand-side series behind any wood-flow or mill-margin model.
6. Screen REIT payout durability. Combine Yahoo Finance and Nasdaq dividend yield data for WY and RYN with share-count and income concepts from the SEC XBRL files, comparing payout coverage quarter by quarter.
7. Wire a daily price feed into production code. Alpha Vantage API — TIME_SERIES_DAILY (WY example) serves as-traded OHLCV in JSON or CSV, with compact output pinned to the latest 100 sessions and full history running roughly 5,250 sessions per ticker — a decade-scale backtest without mixing vendors.
8. Publish provenance-clean research. FAO publishes an exact attribution line for its statistics and FIA documents its collection methodology, which suits journalism and academic methods courses that need citable institutional sources.
9. Benchmark timber names against the wider REIT market. The related-pool FTSE Nareit US Real Estate Index Series (LSEG / FTSE Russell), Nareit REIT Market Data Reports Hub and Nareit Data & Research Hub - REIT Market Data Portal supply sector-level context this otherwise single-name slice lacks.

Timber REITs punches above the catalog average on quality: the eight primaries average 8.0 on Datadory's 10-point rubric against 7.81 across all 1,744 datasets, with five of the eight scoring 8 or higher. Two government statistical publishers anchor the top end, and the securities regulator's fact-level filings carry the deepest per-company history in the slice.

Formats follow the content. JSON dominates the slice at 6 of the 8 primaries offering it, CSV appears in 5, HTML carries the four quote pages, and the bulk statistical sources add ZIP plus SQLite — against a catalog where CSV leads all formats at 42.1% of 1,744 datasets and JSON reaches 38.7%.

Structural limits matter more than vendor choice here. FIA plot coordinates stay fuzzed on non-public plots below plot number 40,000, so exact stand locations cannot be recovered from any record; the physical-statistics layer moves at publication-cycle speed while filings move at filing speed, so the two clocks never fully align; and a single state's 541 MB TREE CSV demands local storage planning before the first pull.

Every record ships with a documented field dictionary and sample rows, so the routing decisions above can be checked against real columns before anything lands in a warehouse.

Four kinds of teams drive most timber-REITs data searches, and each starts somewhere different.

Investors and quant researchers backtest price strategies and screen payout durability, searching phrases like "weyerhaeuser historical stock prices," "rayonier ryn stock price history" and "timber reit dividend yield comparison." The workable canvas spans roughly 13,000 WY sessions from 1973, RYN bars to the 1997 spinoff era, Nasdaq's arbitrary-window history and dividend fields beside share-count and income concepts from XBRL.

Market researchers size forestry and paper markets from FAO's 2,457,869-row dataset — "roundwood production statistics by country" and "sawnwood pulp trade data fao" resolve there — and ground supply chapters in FIA's per-state inventory panels, citing institutional publishers rather than secondhand quote-page aggregations.

A practical timber-REITs stack stacks four layers, most durable first:

Every figure below traces to the cataloged source records or Datadory's catalog-wide computation, as of August 2026:

Short answers to the questions that come up most when teams source timber REITs data. Each draws only on the dataset records cataloged above, as of August 2026.

Continue into the connected pages:

1. Timber-reits data hub — all 12 cataloged records with field dictionaries, sample rows, coverage chips and quality scores.
2. Data scientists — the modeling workflow end to end: XBRL vintages, FAO supply features, FIA covariates and price feeds ranked for ML relevance.
3. Market researchers — sizing and consulting workflows anchored to FAO trade tables, FIA inventory panels and disclosed timberland balances.