New York 17th District

The New York 17th District (NY-17) filter on Biotechnology R&D

Congressional district NY-17 and NAICS 541711 meet here. $1,304,375,654.67 is the USAspending.gov obligation sum on awards that carry both tags. It is not Research And Development In Biotechnology's nationwide total, not every federal dollar coded to New York 17th District (NY-17), and not an outlay register. The packet does not split research versus development stages, or contract versus assistance. 2 is an action count: modifications and repeat awards add rows. Unique recipients are unpublished. This cell is not a lab census, a named-PI list, or a grant-title catalog.

Dividing $1,304,375,654.67 by 2 yields about $652,187,827.34 per award on average. That ratio is two packet facts. It is not a typical contract, grant, or benefit line. 2 awards is an extremely thin biotech file with a nine-figure implied mean. Lab names are unpublished. Do not treat NY-17's 541711 cell as a synonym for every Biotechnology R&D account nationwide. Open /districts/NY-17/ (New York 17th District) for the district table without this NAICS filter, /industries/541711/ (NAICS 541711) for NAICS 541711 without a NY-17 filter, /states/ny/ (New York federal spending) for every industry in the New York extract, and /ties/ (All spending ties) for the rest of the join list. Quote those hubs as parents, not as addends to $1,304,375,654.67.

The research and development in biotechnology rollup

USAspending labels NAICS 541711 as Research And Development In Biotechnology. That code produced $1,304,375,654.67 when crossed with New York 17th District (NY-17) place of performance. The industry-wide 541711 hub does not require NY-17 geography. The district hub does not require Biotechnology R&D. Only this tie applies both filters, which is why it cites 2 awards. The packet does not split research versus development stages, or contract versus assistance.

Correlation is not causation: New York 17th District (NY-17) did not cause $1,304,375,654.67 by existing as a large or small place. Population, outcome scores, and named facilities are not packet facts. The join is 541711 × NY-17 only. This cell is not a lab census, a named-PI list, or a grant-title catalog. 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 Biotechnology R&D spending is coded to New York 17th District (NY-17)?

USAspending.gov lists $1,304,375,654.67 in Research And Development In Biotechnology obligations across 2 awards with place of performance in New York 17th District (NY-17). NAICS 541711 × NY-17 is an obligation join, not an outlay and not New York's complete federal ledger. The cell is 20.8% of the district's published total ($6,270,095,237.61). Unique recipients are unpublished.

Does $1,304,375,654.67 include every Biotechnology R&D program in NY-17?

The packet publishes one NAICS rollup. The packet does not split research versus development stages, or contract versus assistance. $1,304,375,654.67 is the combined obligation sum for NAICS 541711 inside NY-17 coding. This page will not invent a program pie or name contractors. Open NAICS 541711 and New York 17th District to inspect parent tables. 2 remains an action count, not a program count.

Is $1,304,375,654.67 cash already paid in New York 17th District (NY-17)?

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 $1,304,375,654.67 as checks already cleared in New York 17th District (NY-17) confuses those terms. Later ingests can revise 2 awards. Prefer the live district and industry hubs if the tables moved.

Why is the implied average $652,187,827.34 not a typical award?

The average is $1,304,375,654.67 divided by 2 awards, about $652,187,827.34. 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.