Minnesota 2nd District

The Minnesota 2nd District (MN-02) filter on Medicare supplementary medical insurance

CFDA 93.774 and congressional district MN-02 meet here. $1,060,773,670.51 is the USAspending.gov obligation sum on awards that carry both tags. It is not Medicare Supplementary Medical Insurance’s nationwide total, not every federal dollar coded to Minnesota 2nd District (MN-02), and not an outlay register. The packet does not split Part B from related SMI accounts, and it does not name carriers. 9 is an action count: modifications and repeat awards add rows. Unique recipients are unpublished. It is not a beneficiary caseload, a claims-paid register, or a named-provider roster.

Dividing $1,060,773,670.51 by 9 yields about $117,863,741.17 per award on average. That ratio is two packet facts. It is not a published cost per beneficiary and not a typical claim. Nine awards against a billion-dollar SMI cell is a thin file with a large implied mean. Unique providers are unpublished. Do not treat MN-02’s 93.774 cell as a synonym for every Medicare SMI account nationwide. Open Minnesota 2nd District for the district table without this program filter, CFDA 93.774 for CFDA 93.774 without the MN-02 filter, Minnesota federal spending for every program in the Minnesota extract, and All spending ties for the rest of the join list. Quote those hubs as parents, not as addends to $1,060,773,670.51.

The CFDA 93.774 Medicare Supplementary Medical Insurance

USAspending labels CFDA 93.774 as Medicare Supplementary Medical Insurance. That catalog number produced $1,060,773,670.51 when crossed with Minnesota 2nd District (MN-02) place of performance. The program hub does not require MN-02 geography. The district hub does not require Medicare SMI. Only this tie applies both filters, which is why it cites 9 awards. The packet does not split Part B from related SMI accounts, and it does not name carriers.

Correlation is not causation: Minnesota 2nd District (MN-02) did not cause $1,060,773,670.51 by existing as a large or small place, and Medicare enrollment figures are not packet facts. The join is 93.774 × MN-02 only. It is not a beneficiary caseload, a claims-paid register, or a named-provider roster. 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 Medicare SMI spending is coded to Minnesota 2nd District (MN-02)?

USAspending.gov lists $1,060,773,670.51 in Medicare Supplementary Medical Insurance obligations across 9 awards with place of performance in Minnesota 2nd District (MN-02). CFDA 93.774 × MN-02 is an obligation join, not an outlay and not Minnesota’s complete federal ledger. The cell is 18.5% of the district’s published total ($5,736,264,097.11). Unique recipients are unpublished. Average obligation is about $117,863,741.17, a ratio of those two facts only.

Do 9 awards mean 9 beneficiaries, claims, or providers in MN-02?

No. Award count is a row count of USAspending actions and can include continuations and modifications. It is not a count of beneficiaries, claims, or providers. The packet does not name recipients. See Minnesota 2nd District for named lines as USAspending stored them. The packet does not split Part B from related SMI accounts, and it does not name carriers.

Is $1,060,773,670.51 cash already paid in Minnesota 2nd District (MN-02)?

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 $1,060,773,670.51 as claims already paid to physicians confuses those terms. Later ingests can revise 9 awards. Prefer the live district and program hubs if the tables moved.

Why is the implied average $117,863,741.17 not a typical award?

The average is $1,060,773,670.51 divided by 9 awards, about $117,863,741.17. 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.