California 33rd District

The California 33rd District (CA-33) filter on Labor

Awarding agency 1601 and congressional district CA-33 meet here. $154,467,449.38 is the USAspending.gov obligation sum on awards that carry both tags. It is not Department of Labor’s nationwide total, not every federal dollar coded to California 33rd District (CA-33), and not an outlay register. The packet does not split Labor agencies or contract versus assistance instruments. 3 is an action count: modifications and repeat awards add rows. Unique recipients are unpublished. It is not a job-training caseload, an unemployment-claim count, or a named-grantee file.

Dividing $154,467,449.38 by 3 yields about $51,489,149.79 per award on average. That ratio is two packet facts. It is not a typical contract, grant, or benefit line. Three awards against a one-hundred-fifty-four-million-dollar Labor cell is an extreme concentration of rows. Do not invent three named grantees; the packet does not publish recipient identity. Do not treat CA-33’s 1601 cell as a synonym for every Labor account nationwide. Open California 33rd District for the district table without this agency filter, Department of Labor for agency 1601 without the CA-33 filter, California federal spending for every awarding agency in the California extract, and All spending ties for the rest of the join list. Quote those hubs as parents, not as addends to $154,467,449.38.

The Department of Labor awarding-agency rollup

USAspending labels awarding agency 1601 as Department of Labor. That code produced $154,467,449.38 when crossed with California 33rd District (CA-33) place of performance. The agency-wide 1601 hub does not require CA-33 geography. The district hub does not require Labor. Only this tie applies both filters, which is why it cites 3 awards. The packet does not split Labor agencies or contract versus assistance instruments.

Correlation is not causation: California 33rd District (CA-33) did not “cause” $154,467,449.38 by existing as a large or small place. Population, outcome scores, and named facilities are not packet facts. The join is 1601 × CA-33 only. It is not a job-training caseload, an unemployment-claim count, or a named-grantee file. Do not invent contractors or award recipients to fill the gap. Campaign donations on FEC tables do not fund this USAspending cell; the datasets are separate.

Questions

How much Labor spending is coded to California 33rd District (CA-33)?

USAspending.gov lists $154,467,449.38 in Department of Labor obligations across 3 awards with place of performance in California 33rd District (CA-33). Agency 1601 × CA-33 is an obligation join, not an outlay and not California’s complete federal ledger. The cell is 11.4% of the district’s published total ($1,354,460,689.92). Unique recipients are unpublished. Average obligation is about $51,489,149.79, a ratio of those two facts only.

Does $154,467,449.38 include every Labor program in CA-33?

The packet publishes one awarding-agency rollup. The packet does not split Labor agencies or contract versus assistance instruments. $154,467,449.38 is the combined obligation sum for agency 1601 inside CA-33 coding. This page will not invent a program pie or name contractors. Open Department of Labor and California 33rd District to inspect parent tables. 3 remains an action count, not a program count.

Is $154,467,449.38 cash already paid in California 33rd District (CA-33)?

No. Obligations are commitments recorded on USAspending.gov awards. Outlays — money that actually left the Treasury — are a different concept and are not this packet’s headline. Treating $154,467,449.38 as checks already cleared in California 33rd District (CA-33) confuses those terms. Later ingests can revise 3 awards. Prefer the live district and agency hubs if the tables moved.

Why is the implied average $51,489,149.79 not a typical award?

The average is $154,467,449.38 divided by 3 awards, about $51,489,149.79. Thick files pull the mean down; thin files pull it up. Neither case publishes a typical instrument. Modifications add rows. Recipients are unpublished. Use the ratio only as a concentration statistic.