For diagrams and format-specific nomenclature, see Table formats and its IOT and SUT guides.

Canonical names and aliases

Index	Table format(s)	Acceptables	Description
Region	All	Regions, region, regions	Regions represented in the table
Sector	IOT	Sectors, sector, sectors	Sectors representing industrial activities (or products)
Commodity	SUT	Commodities, commodity, commodities, Product, Products, product, products	Commodities produced by activities
Activity	SUT	Activities, activitiy, activities, Industry, Industries, industry	Activities producing commodities
Consumption category	All	Consumption categories, consumption category, consumption categories, demand categories, Consumption_category, Consumption_categories, consumption_category, consumption_categories, demand_categories	Categories of final demand (e.g. Households, Gross fixed capital, Changes in inventories…)
Factor of production	All	Factors, factor, factors, Factors of production, factor of production, factors of production, Factors_of_production, factor_of_production, factors_of_production	Factors of production including value added categories including, for single-region tables, imports
Satellite account	All	Satellite, satellite, Satellites, satellites, Satellite accounts, satellite accounts, Satellite_accounts, satellite_accounts	Environmental extensions

These are the default aliases. Custom labels describes settings overrides. Economic axes in the pandas representation use Region, Level and Item: the Level value identifies the set (Sector, Activity or Commodity), and Item carries its native member label. The matrix catalogue lists the semantic row and column sets for each block.

Regional classifications

Most sources use the same labels in every region, so db.get_index(...) returns a list. For a set whose members vary by region, it returns {region: [members]}. BONSAI is an example. Each set is evaluated independently; common/global sets still return lists. Equal counts do not imply equal members.

Use region=... for one region or flat=True for the union of distinct labels. A union does not imply that every label exists in every region. See db.get_index() and inspection examples.

The nomenclature and formulas workbook supplies the shared index and matrix descriptions used by these pages.