Port of Los Angeles TEU Data: The Complete Monthly History

One rolling latest-month table plus 46 annual vintages of monthly TEU tables, every year from 1981 through 2026 present in the series. Each period carries seven fields: Loaded Imports, Loaded Exports, Total Loaded (imports plus exports), Total Empty, Total, Change and % Change measured against the same month of the prior year.

The July 2026 row shows the resolution the series supports: 499,551.50 loaded-import TEUs, 111,775.50 loaded-export TEUs, 349,137.25 empties and 960,464.25 TEUs overall, with total volume down 5.82% from July 2025's 1,019,837.30 and calendar-2026 year-to-date throughput at 6,083,066.75 TEUs, up 1.80%. Half-unit TEU counts mean the port reconciles against underlying container counts rather than rounding to whole units, so the series tolerates month-over-month percentage math without re-basing.

Granularity is monthly per category plus annual rows and both calendar-year and fiscal-year YTD aggregates. Sibling pages cover Tonnage, Automobile, Breakbulk and Cruise statistics, but the TEU tables are the only containerized-throughput series of that group.

The workflow is analytical, not navigational - five moves turn 46 years of monthly counts into a demand read:

Every move above runs on the same seven fields, which is why the field dictionary - not the navigation path - is the thing worth memorizing.

Because throughput measures what tenants will need before landlords report it. Loaded-import TEUs are the physical input to warehouse demand in the Los Angeles basin, where Prologis, Rexford and Terreno hold large portfolios; the count arrives monthly while REIT operating results arrive quarterly and leasing spreads often lag further still.

The July 2026 print shows the kind of signal analysts watch: total throughput down 5.82% year over year while calendar-2026 YTD sat up 1.80% - an import soft patch inside a firm year, visible one quarter before the next broker report could confirm it in absorption.

The outcome layer it predicts comes from Cushman & Wakefield US Industrial MarketBeat, whose Q2 2026 national report put net absorption at 62.1 million square feet (up 21% quarter over quarter), vacancy at 6.9% (down 10 basis points) and year-to-date absorption at 113.6 msf, the strongest first half since 2023. Throughput leads; vacancy, absorption and rents confirm.

Within the 15 primary Industrial REITs datasets Datadory catalogs, three other records measure demand or its downstream effects, and each pairs with the TEU series differently. The table below keeps the divisions straight.

The practical pattern: TEUs lead by weeks, wholesale inventories confirm by months, ISM sentiment frames the cycle, MarketBeat reports the property outcome a quarter later. A model that needs one leading series starts with loaded imports; a model that needs corroboration adds the other three.

A working pipeline takes five steps:

Four constraints shape how far the series can be pushed:

• One harbor. The series covers San Pedro Bay and nothing else. It says nothing about Savannah, Houston or the Port of New York and New Jersey, so a national warehouse-demand model needs more inputs than this series alone can supply.
• Volume, not composition. Seven columns per period describe tonnage flows and nothing else - no commodity detail, no shipper or carrier identifiers, no destination beyond the import/export split - so lane-level and beneficiary-level questions need customs records instead.
• Pre-1995 detail thins out. Annual vintages exist from 1981, but the page text cites 1995 for statistical breakdowns, so earlier years may carry fewer category splits than the modern seven-column table.
• No forward bookings. Counts are landed volumes, not orders; nothing here tells you what shippers have already contracted for next quarter.

Against those limits stands unusual depth for a single-harbor series: all 46 annual vintages from 1981 through 2026 are present, and inline figures reconcile against the prior-year comparison column - part of why Datadory scores the record 8 of 10, above the catalog-wide average of 7.81 across the 1,744 datasets we catalog.

Datadory tags eight personas against this dataset, and the strongest scoring ones frame its real audience:

1. Investors & Quant Researchers (3/3) use monthly loaded-import TEUs as a trade-demand proxy for industrial REIT rent momentum - see best data for industrial reits teams.
2. Market Researchers & Consultants (3/3) quantify US container trade trends with the monthly history back to 1981 - see best data for industrial reits teams.
3. Journalists, Academics & Students (3/3) cite monthly TEU figures in trade and supply-chain stories, every number traceable to a specific month and category.
4. Data Scientists & ML Engineers (2/3) engineer loaded-import TEU momentum features for logistics-demand forecasting models.

This post covers the demand-driver layer of an industrial REITs stack. For the full pool - SEC EDGAR fundamentals, Nareit benchmarks, broker property reports and every rate series - start with the industrial-reits data guide. Then go deeper on the two neighbors used here: wholesale inventories sales ratio history for the restocking cycle behind import volumes, and cushman wakefield industrial MarketBeat for the vacancy and rent outcomes throughput helps predict. The industrial-reits data hub lists all 15 cataloged datasets, and best industrial-reits datasets ranks them.