Using the explorer

Areas, domain, codes, granularity, period, ownership and vintage, set once in the bar; the table, the charts and the map all read from the same selection.

The short answer

The selection bar is sticky and every pill opens a picker in place: areas, domain (Industry or Occupation), codes, granularity, period, ownership and vintage. The table shows one row per series: one area, one code, one ownership setting. Columns can be added or removed from the column menu, including the provenance columns, and Reset to defaults restores the starting set. Click a row or its code for its details: where its values came from, its reliability score where there is one, and its quarterly breakdown.

The detail

Levels are named from the classification itself: Total, Domain, Super-sector, Sector, then 3-digit to 6-digit for industries; Total, Major, Minor, Broad and Detailed for occupations. Choosing All shows the whole hierarchy nested, with the level named on each row, and never sums a parent with its children. A custom list can be saved as a code cluster; a list that contains both a code and one of its descendants is refused, because it would count the same employment twice.

The default industry table shows employment, establishments, change, average pay and location quotient; the occupation table shows employment, change, average pay and location quotient. Ownership is federal, state, local and private; the default sums all four, and any subset ticked is summed the same way. Employment estimates that round below one display as 0; the row details show the stored value, which is what an export carries. Rows are capped at three hundred on screen with a control to show all. A county outside your plan is never hidden; it is greyed, with the reason.

Occupation values carry no value-level provenance, so an occupation table has no published or estimated marks; see occupation values.

The markers on values are explained on disclosure flags on screen. Export is on exporting data. The full definition of each measure is on the methodology’s industry data page.

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