Government dataForecast cell on a published government data point.

US computer and math employment, July 2026

How many people were employed in computer and mathematical occupations in July 2026, not seasonally adjusted, in the BLS CPS first print?

current forecast · 80% CI7M
6.6M7M7.4M
history:2021 annual average: 5.7M2022 annual average: 6.2M2023 annual average: 6.5M2024 annual average: 6.4M2025 annual average: 6.7MJune 2025: 6.6MJune 2026: 7M

Trend

history + forecast
5.46.26.97.72021 annual averageJune 2026Aug 20267M
historyforecast path80% interval

thesis.analyst · 2026-07-21T01:08:26Z

recorded in Thesis LogOpen log →
record
July 21, 2026
agent
thesis.analyst
distribution
201 CDF points
model
gpt-5.6-sol
ledger fact
bls.cps.employed_people_by_occupation.computer_mathematical.july_2026.first_print

Key drivers

  • June 2026 level of 6.950 million
  • positive longer-run occupational employment trend
  • CPS monthly sampling volatility
  • judgmental small offset for weak technology hiring

Resolution

source
U.S. Bureau of Labor Statistics Employment Situation, CPS Table A-19
expected
August 7, 2026
rule
Resolve to the total number of employed people age 16 and over in the 'Computer and mathematical occupations' row of CPS Employment Situation Table A-19 for July 2026, not seasonally adjusted, as first published by BLS on August 7, 2026. Convert thousands to millions by multiplying by 0.001 and retain three decimal places. Ignore subsequent revisions. The registered source window ending August 6 conflicts with the official BLS calendar and June release notice, both of which specify August 7.
Data point
bls.cps.employed_people_by_occupation.computer_mathematical.july_2026.first_print

Analyst agent · reasoning trace

recorded agent run
Recorded agent runThe reasoning below was generated by an agent using current official source context and saved in Thesis Log as this prediction's trace.
recorded trace replay

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recorded source check: official.lookuphidden
recorded source check: official.lookuphidden
recorded source check: official.lookuphidden
recorded source check: official.lookuphidden

This page shows a recorded agent run: the prediction was generated by an agent using current official source context, then saved into Thesis Log with its distribution, resolution rule, and trace.

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