Government contracts for electrical equipment: the federal buying record, delivered as rows

It is the American government telling you what electrical equipment it buys, from whom, and for how much - recorded by the buyer rather than inferred by an analyst. SAM.gov contract awards is the General Services Administration's System for Award Management: the single authoritative registry where every cabinet department, military service and independent agency posts contract opportunities and later records the outcome. For an electrical manufacturer or distributor, it is both a pipeline and a ledger at once.

Forward-looking rows are the pipeline. Presolicitation and sources-sought notices surface requirements while they are still being shaped, before a specification hardens around an incumbent. Backward-looking rows are the money: award notices carry the obligated dollar amount, the award date, the winning vendor's legal name and Unique Entity Identifier, and frequently a description paragraph stating exactly which equipment and installation work was bought - medium-voltage switchgear replacements appear in precisely that depth.

The isolation axes are built into the classification system itself. Product Service Code group 61 covers Electric Wire and Power Distribution Equipment; electrical NAICS families narrow further - 221121 for Electric Bulk Power Transmission and Control, 335314 for Relay and Industrial Control Manufacturing, and their siblings across NAICS 335. Cut those two axes and a government-wide registry of millions of notices becomes the electrical equipment trade, one row per notice, nothing pre-aggregated.

SAM.gov contract awards anchors the stack, scoring 8 out of 10 on Datadory's rubric against a catalog mean of 7.81 across all 1,744 records. One row per notice or award, filterable by PSC code, NAICS code, agency, set-aside type and state, with millions of historical notices retained across active and archived holdings. It is the only demand-side record in this industry's pool of 22 primary datasets - everything else describes supply.

Around the anchor, four companions turn eligibility into analysis:

• data.gov federal open data catalog (quality 8) is the discovery layer beneath the anchor - 552,271 indexed federal datasets as of August 2026, keyword queries around electrical equipment returning hundreds of candidate records, each carrying DCAT-US metadata with publisher, bureau code, temporal and spatial coverage and file-level distributions.

• Economic Census data tables (quality 9) supply the supplier base: establishments, employment, payroll and value of shipments for every six-digit NAICS 335 industry at national, state, metro and county level, across benchmark vintages reaching back to 1954.

• BEA GDP-by-industry (iTable) (quality 9) adds the flow between benchmarks - annual value added, gross output and KLEMS components for the electrical equipment line, quarterly where offered.

• OEC - Observatory of Economic Complexity (quality 8) frames import competition with bilateral trade cubes drillable by HS code, exporter and importer year by year.

All five ship through Datadory in the same typed-row format, keyed so they join without reconciliation work.

Rows arrive flattened to one notice per line in the delivered dictionary:

# observed award notice - captured during the August 2026 research pass
title            : Replace PWT Switchgear
solicitation     : FA9101-16-R-0034
notice_type      : Award Notice
psc_code         : 61 - ELECTRIC WIRE, POWER DISTRIB EQPT
naics_code       : 221121
publish_date     : 2016-06-24T13:36:00-04:00
award_amount     : 5432331
award_date       : 2016-06-15
award_number     : FA9101-16-C-0041
awardee_name     : Siemens Industry Inc.
awardee_uei      : JZXZSN3BBL98

# second award notice - same dictionary, medium-voltage scope
title            : Replace ETF-B Exhaust Medium Voltage Switchgear
solicitation     : FA9101-16-R-0069
publish_date     : 2016-11-17T17:43:27-05:00
naics_code       : 221121

# pre-award signal row - the requirement while it is still forming
title            : Z -- Repair Sectionalizing Station D
solicitation     : PR0705
publish_date     : 2006-09-11T00:00:00-04:00
notice_type      : Sources Sought
naics_code       : 238210

Fifteen documented fields divide into four jobs. Classification: psc.code and naics.code get you to the aisle; descriptions.content tells you what is on it. Money: award.amount makes sizing arithmetic possible. Who won: award.awardee.name plus the quiet hero, award.awardee.ueiSAM - a persistent company identifier that survives renames and reorganizations, so ten years of switchgear awards roll up to the correct corporate winner without fuzzy string matching. Where and how: placeOfPerformance locates the work, solicitation.setAside flags the 8(a), HUBZone, SDVOSB and WOSB requirements that decide who may bid at all. Additional fields on request: attachment references, points of contact and agency-office details pin against live records when your sample is cut.

Five questions carry most of the load, and every one of them is a filter or a group-by on delivered columns rather than a research project.

Account prioritization. Rank agencies by their count of PSC 61 obligations over a trailing window and you get an objective call list instead of a hunch - buying offices differ by an order of magnitude in electrical volume, and the ranking moves slowly enough to plan a quarter around.

Incumbency mapping. Group awards by awardee UEI within each agency hierarchy and the map builds itself: who holds the switchgear book at which command, at what values, since when. A recompete pursued without this map is a guess wearing a suit.

Set-aside triage. Split the electrical book by designation and you know which solicitations your company may bid alone, which need teaming, and which are structurally closed. Pursuing a set-aside you cannot enter burns exactly the week losing one does.

Bid pricing. Realized obligated amounts for comparable equipment scopes beat list-price guesswork, because they carry the installed-work component catalogs never see.

Territory planning. Place-of-performance values rank geographies by where the work actually lands rather than where vendors file paperwork - the difference that decides where field service capacity sits.

Award history answers who buys and at what value. Two statistical records answer how large the supplier base behind those purchases actually is - the denominator every federal share-of-market claim needs.

The Economic Census data tables publish establishments, employment, payroll and value of shipments (rcptot) for every six-digit NAICS 335 industry at national, state, metro and county level, across quinquennial vintages from 2022 back to 1954, with firm-size and product-line cuts re-expressing the same cells. That geographic depth is what lets a federal seller compare an agency's place-of-performance footprint against where NAICS 335 plants actually operate - and it is why the record scores 9 on Datadory's rubric, tied for the top of this pool.

The BEA GDP-by-industry (iTable), tied at quality 9, measures contribution continuously: annual value added, gross output, intermediate inputs, KLEMS productivity components and employment for the electrical equipment line, quarterly where offered. Set the level with Census shipments, move it between benchmarks with BEA's annual series, and the pair lands pre-keyed on industry and period through Datadory rather than reconciled by hand.

For the competitive frame, the OEC trade cube ranks who else sells into the same categories abroad - Electric Transformers, Electric Motors, Generating Sets, Batteries and switchgear lines, drillable by exporter, importer and year. Federal demand read against domestic capacity and import pressure gives a defensible answer to the question every forecast dodges: how much of this category's buyer base is actually chaseable.

Before hardware goes into a federal quotation, its certification standing needs confirming, and the verification record is the UL Product iQ certification database: millions of UL Listing, Classification, Recognition and Verified records searchable by file number, company, category control number (CCN) or model, refreshed continuously. Run the check before committing pricing to a solicitation, and confirm the specific model carries current certification rather than assuming a family listing covers it.

Because the notices were never the hard part - the shape around them is. The registry speaks notice objects on its own posting clock, with versioning quirks, archived-versus-active splits, free-text descriptions and identifiers that need decoding before a single chart renders. Every team that wires it directly rebuilds the same three things: the parser, the typing layer and the incremental-refresh logic that stops yesterday's rows from being overwritten into oblivion.

There is also the matter of neighbors. The awards ledger reads best against the supply side it prices - distributor catalogs, the NAICS 335 census cells, the trade cubes - and pulling all of them through one dictionary means adding a state or an agency to scope is a filter change, not a second integration project. Name your PSC codes, NAICS codes, agencies and states when you request a sample and it comes back cut to that exact shape before anything recurring starts.

Ranked by how directly one delivered row settles the day job:

1. Sales & growth teams get the rarest artifact in B2B data: a demand list where the buyer, the budget and the incumbent sit on the same row as the requirement (sales growth teams use cases).

1. Competitive intelligence & product teams get attributable wins and losses by agency, priced, with incumbency breakage visible modification by modification (competitive intel product teams use cases).

1. Market researchers & consultants get a federal electrical equipment segment sized from obligations under PSC 61 against a stated NAICS 335 denominator, with set-aside splits most commercial sources never publish (market researchers use cases).

1. Data scientists & ML engineers get typed columns and a stable entity key - the difference between a modeling afternoon and an extraction quarter (data scientists use cases).

1. Investors & quant researchers get obligated federal dollars as a dated demand signal for equipment makers and distributors, joinable onto revenue lines by awardee (investors use cases).

Across all of them the constant is identical: one dictionary, one row per notice, classifications that hold - so widening scope is a filter change, not a schema migration.

This page is one cluster inside the electrical shelf. The pillar treatment lives at the electronic equipment instruments data guide; the ranked shortlist sits on best electrical components equipment datasets; and the complete inventory with field dictionaries is on the electrical components equipment data hub. Every dataset page carries sample rows, coverage chips and the dictionary before you commit.

Go deeper on adjacent questions: electrical equipment market size data sizes the NAICS 335 denominator behind the awards, and how sales growth teams use electronic equipment and instruments data weaves federal demand into a complete prospecting motion. When you want real rows instead of descriptions, request a sample scoped to your PSC and NAICS cuts - the field dictionary travels with it.