Community Oriented Policing Services
Schedules
TAFS: 015-0406 /X - Community Oriented Policing Services
| Previously Approved (Iteration 6) | Current OMB Action (Iteration 7) | |||||
|---|---|---|---|---|---|---|
| Line # | Split | Description | Amount | Footnotes | Amount | Footnotes |
| 1000 | DA | Discretionary: Unob Bal: Brought forward, October 1 (Direct -Actual) | $250,459,856.00 | $250,459,856.00 | ||
| 1000 | DE | Discretionary: Unob Bal: Brought forward, October 1 (Direct - Estimate) | ||||
| 1021 | Unob Bal: Recov of prior year unpaid obligations | $22,156,533.00 | $26,703,266.00 | |||
| 1033 | Unob Bal: Recov of prior year paid obligations | $17,590.00 | $13,865.00 | |||
| 1061 | Unob Bal: Antic recov of prior year unpd/pd obl | $15,000,000.00 | $7,204,154.00 | |||
| 1100 | 1 | BA: Disc: Appropriation | $511,744,000.00 | $511,744,000.00 | ||
| 1100 | 2 | BA: Disc: Appropriation | $20,000,000.00 | See footnotes below | $20,000,000.00 | |
| Footnotes for line 1100 (2) (Previous): | B3: Supplemental appropriation of $20,000,000 for FY 2022 for State and Local Law Enforcement from the Bipartisan Safer Communities Act, PL 117-159. | |||||
| 1120 | BA: Disc: Approps transferred to other accounts | Line added | -$42,000,000.00 | |||
| 1131 | BA: Disc: Unob bal of approps permanently reduced | -$15,000,000.00 | -$15,000,000.00 | |||
| 1151 | BA: Disc: Appropriations:Antic nonexpend trans net | -$42,000,000.00 | -$14,000,000.00 | See footnotes below | ||
| Footnotes for line 1151 (Current): | B4: Category A includes an anticipated transfer out of $11.0 million to FPD and $3.0 million to CIV for the section 205 notification. | |||||
| 1740 | BA: Disc: Spending auth:Antic colls, reimbs, other | $2,399,615.00 | See footnotes below | $2,399,615.00 | ||
| Footnotes for line 1740 (Previous): | B2: Anticipated collections from Department of Transportation, NHTSA for the following activites: Intellectual and Developmental Disabilities Curriculum Development ($275,0000); Online ARIDE Refresher Training ($510,000) , and Managing High Risk Law Enforcement Vehicular Pursuits ($800,000);and other reimbursables $814,615. | |||||
| 1920 | Total budgetary resources avail (disc. and mand.) | $764,777,594.00 | $747,524,756.00 | |||
| 6001 | Category A -- 1st quarter | $26,407,620.00 | $26,407,620.00 | |||
| 6002 | Category A -- 2nd quarter | $5,967,072.00 | $5,967,072.00 | |||
| 6003 | Category A -- 3rd quarter | $15,301,091.00 | $15,301,091.00 | |||
| 6004 | Category A -- 4th quarter | $6,090,256.00 | -$11,162,582.00 | |||
| 6011 | COPS Grant Programs | $691,011,555.00 | $691,011,555.00 | |||
| 6012 | COPS Grant Programs (Safer Communities Act) | $20,000,000.00 | $20,000,000.00 | |||
| 6190 | Total budgetary resources available | $764,777,594.00 | $747,524,756.00 | |||
Footnotes
Footnotes provide further information about, or establish further legal requirements related to the use of, the funds in a given line or set of lines in an apportionment. If footnotes appear on lines 1920 or 6190, they apply to all the lines in the 1xxx and 6xxx sections, respectively. The following are all the footnotes associated with this file.
| Number | Text |
|---|---|
| B4 | Category A includes an anticipated transfer out of $11.0 million to FPD and $3.0 million to CIV for the section 205 notification. |
The following are all of the footnotes associated with the previous iteration of this file. Note that previous iterations of accounts in this file may come from multiple previous files.
| Number | Text |
|---|---|
| B2 | Anticipated collections from Department of Transportation, NHTSA for the following activites: Intellectual and Developmental Disabilities Curriculum Development ($275,0000); Online ARIDE Refresher Training ($510,000) , and Managing High Risk Law Enforcement Vehicular Pursuits ($800,000);and other reimbursables $814,615. |
| B3 | Supplemental appropriation of $20,000,000 for FY 2022 for State and Local Law Enforcement from the Bipartisan Safer Communities Act, PL 117-159. |
Notes about this page
- † Links to public laws are automatically generated and are not guaranteed to be accurate.