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USASpending.gov Last Updated
August 25, 2008

Contracts data was updated for all 24 CFO Act agencies at this time.

Assistance data was updated for 15 of 24 CFO act agencies. Updates are currently pending for the following agencies: DOD, DOT, DHS, GSA, HHS, NRC, OPM, SBA and TREAS.

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Assistance to Recipients in Texas 12 (Kay Granger)
(FY 2004)

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Summary


Fiscal Year: 2004
Federal dollars: $34,217,132
This Congressional District is ranked 293 among districts for this year.
Total number of recipients: 1
Total number of transactions: 4
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Top 5 Known Congressional Districts where Recipients are Located Known Congressional District help link

Texas 12 (Kay Granger)$34,217,132

Top 10 Recipients

Multiple recipients - Texas$34,217,132

Recipient Type

Individuals$34,217,132
Nonprofits$0
Other$0
Higher Education$0
Government$0
For Profits$0

 


Top 5 Programs

96.002: Social Security_Retirement Insurance$22,451,548
96.004: Social Security_Survivors Insurance$6,815,950
96.001: Social Security_Disability Insurance$4,283,743
96.006: Supplemental Security Income$665,891

Top 5 Agencies Providing Assistance

Social Security Administration$34,217,132

Assistance Type

Direct Payments (both specified and unrestricted)$34,217,132
Other$0
Loans (both direct and guaranteed)$0
Insurance$0
Grants and Cooperative Agreements$0

 

Trend

Bar chart: info duplicated below as table

2000$0
2001$0
2002$0
2003$0
2004$34,217,132
2005$344,197,792
2006$388,574,604
2007$100,110,423
2008$108,609,502


*END OF REPORT*

This search was done on October 4, 2008.

The assistance database is compiled from agency-provided data. For timeliness details, please see the Data Quality tab.

Note: The numbers in this table can change after each data load. Transactions included in a data load can impact numbers for the current and previous fiscal years.

The data housed on USASpending.gov is provided by Federal agencies. Please refer to the Data Quality site for information about the current status of data quality. USASpending.gov is continuously developing ways to measure and improve the quality of the data on the site.