Glossary
seasonal adjustment flag
seasonal adjustment flag is adjustment flag that duplicates each published series into seasonally adjusted and not-seasonally-adjusted versions - the multiplication behind the M3 bulk file's ~600,000 rows across 420 months x 174+ series, mirrored in the trade hub's SA/NSA options. In Datadory's catalog of 1,744 datasets, Census M3 coverage and International Trade Data Hub are working examples.
What is seasonal adjustment flag?
The adjustment flag that duplicates each published series into seasonally adjusted and not-seasonally-adjusted versions - the multiplication behind the M3 bulk file's ~600,000 rows across 420 months x 174+ series, mirrored in the trade hub's SA/NSA options.
In this catalog it appears concretely: - Census M3 coverage — "both seasonally adjusted and not seasonally adjusted values". - International Trade Data Hub (granularity) — "nominal and chained-2017-dollar, SA and NSA". - seasonally_adj field in U.S. Census Monthly Retail Trade Survey - Motor Vehicle and Parts Dealers. - s_adj dimension (NSA/CA/SCA) in Eurostat - European Statistical Office Data Portal.
Why does seasonal adjustment flag matter when choosing a dataset?
A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.
The failure mode is concrete: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.
You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and Census M3 coverage lets you inspect the real artifact before any budget is committed.
How do you evaluate seasonal adjustment flag in a data source?
Treat every claim of this attribute as testable:
- Open Census M3 coverage and confirm its record — "both seasonally adjusted and not seasonally adjusted values" — against the files you actually receive.
- Read International Trade Data Hub's record on granularity — "nominal and chained-2017-dollar, SA and NSA" — then confirm the delivered artifact matches before you license anything.
- Open seasonally_adj field in U.S. Census Monthly Retail Trade Survey - Motor Vehicle and Parts Dealers and compare its listing against the delivered artifact before paying for a commercial equivalent.
See the term applied to real records: apparel-retail data, automotive-retail data.
Related terms
Adjacent concepts worth reading next: - bulk download - Monthly Retail Trade Survey - NAICS codes - preliminary estimates and revisions - Short-term business statistics (sts_trtu_m)
Frequently asked questions
What is an example of seasonal adjustment flag?
Census M3 coverage is the clearest example in this catalog. Its record states: "both seasonally adjusted and not seasonally adjusted values". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.
Is data described as "seasonal adjustment flag" free to use?
Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.
How do I verify a source really provides seasonal adjustment flag?
Open Census M3 coverage next to International Trade Data Hub and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.
Datasets containing this field
Datasets containing seasonal adjustment flag
6 datasets carry seasonal adjustment flag in the catalog. Open one, count the fields, judge for yourself.
eCommerce Behavior Data from Multi-Category Store (Apparel Segment)
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UCI Online Retail
UCI Online Retail II
UK ONS Retail Sales Index - Retail Industry
US Census Monthly Retail Trade Survey (MRTS)
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