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The labor market, monthly: unemployment, participation, average hourly earnings, with ingest receipts

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-08-11, from Macro Picture Entering H2 2026, With Receipts.

as of table 6×5read in context →
The labor market, monthly: unemployment, participation, average hourly earnings, with ingest receipts — 6 rows by 5 columns, computed from US exchange, SIP and OPRA data.
period_startunemployment_rateparticipation_pctavg_hourly_earningsarrived_here
2026-01-014.362.137.172026-03-16
2026-02-014.46237.322026-03-16
2026-03-014.361.937.382026-04-03
2026-04-014.361.837.412026-05-08
2026-05-014.361.837.532026-06-10
2026-06-014.261.537.642026-07-02
Rows × columns
6 × 5
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for The labor market, monthly: unemployment, participation, average hourly earnings, with ingest receipts, derived from the stored result.
ColumnTypeRangeNotes
period_start date 2026-01-01 to 2026-06-01
unemployment_rate number 4.2 to 4.4 ratio or rate
participation_pct number 61.5 to 62.1 percent
avg_hourly_earnings number 37.17 to 37.64
arrived_here date 2026-03-16 to 2026-07-02

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

the exact SQL behind every number 
SELECT toString(date) AS period_start,
    unemployment_rate,
    labor_force_participation_rate AS participation_pct,
    round(avg_hourly_earnings, 2) AS avg_hourly_earnings,
    toString(toDate(_ingest_time)) AS arrived_here
FROM global_markets.labor_market
WHERE date >= toDate('2026-01-01') AND date <= toDate('2026-06-30')
ORDER BY date

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