Record for the Final Metal Product and Machinery Rule VARIABLE DESCRIPTIONS FOR RMA_ DATA. XLS Final MP& M Rule VARIABLE DESCRIPTION WORKSHEET COLUMN CBI FORMULA Sect Sector Number and Type ( M= manufacturing; N= nonmanufacturing Summary A N Sector Sector Number Summary B N Sector Name Sector Name Summary C N = VLOOKUP( B3, SICs!$ D$ 2:$ E$ 226,2,0) Total Obs. Total number of observations Summary D N = COUNTIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3)

Neg. PTRA Number of observations with a negative PTRA value Summary E N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ CO$ 3:$ CO$ 98 5)

Miss. PTRA Data Number of observations with a missing PTRA value Summary F N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data! CP$ 3: CP$ 985)

Neg. ICR Number of observations with a negative ICT value Summary G N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data! CQ$ 3: CQ$ 985)

Miss. ICR Data Number of observations with a missing ICR value Summary H N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data! CR$ 3: CR$ 985)

Applying No Adjustment Factor to Negative Values: Wgtd. PTRA PTRA weighted by value of shipments Summary I N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ CV$ 3:$ CV$ 985 )

Applying No Adjustment Factor to Negative Values: PTRA VOS Value of Shipments, 1997 excluding observations with missing PTRA values Summary J N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ CX$ 3:$ CX$ 985 ) Applying No Adjustment Factor to Negative Values: Avg. PTRA Average PTRA value weighted by value of shipments Summary K N = IF( ISERR( I3/ J3)," NA", I3/ J3)

Applying No Adjustment Factor to Negative Values: Wgtd. ICR ICR weighted by value of shipments Summary L N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ CW$ 3:$ CW$ 9 85) Applying No Adjustment Factor to Negative Values: ICR VOS Value of Shipments, 1997 excluding observations with missing ICR values Summary M N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ CY$ 3:$ CY$ 985 ) Applying No Adjustment Factor to Negative Values: Avg. ICR Average ICR value weighted by value of shipments Summary N N = IF( ISERR( L3/ M3)," NA", L3/ M3)

Applying A Sector Average Adjustment Factor to Negative Values: Wgtd. PTRA Adj. Factor Sector average PTRA adjustment factor for negative values weighted by value of shipments Summary O N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DG$ 3:$ DG$ 98 5)

Applying A Sector Average Adjustment Factor to Negative Values: PTRA Adj. Factor Sector average PTRA adjustment factor for negative values Summary P N = IF( ISERR( O3/ T3)," NA", O3/ T3)

Applying A Sector Average Adjustment Factor to Negative Values: Wgtd. ICR Adj. Factor Sector average ICR adjustment factor for negative values weighted by value of shipments Summary Q N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DI$ 3:$ DI$ 985)

Applying A Sector Average Adjustment Factor to Negative Values: ICR Adj. Factor Sector average ICR adjustment factor for negative values Summary R N = IF( ISERR( Q3/ W3)," NA", Q3/ W3)

Applying A Sector Average Adjustment Factor to Negative Values: Wgtd. PTRA PTRA weighted by value of shipments including adjustment factor for negative values Summary S N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DB$ 3:$ DB$ 985 )

Applying A Sector Average Adjustment Factor to Negative Values: PTRA VOS Value of Shipments, 1997 excluding observations with missing PTRA values Summary T N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DD$ 3:$ DD$ 985 )

Applying A Sector Average Adjustment Factor to Negative Values: Avg. PTRA Average PTRA value weighted by value of shipments including an adjustment factor for negative values Summary U N = IF( ISERR( S3/ T3)," NA", S3/ T3)

Applying A Sector Average Adjustment Factor to Negative Values: Wgtd. ICR ICR weighted by value of shipments including an adjustment factor for negative values Summary V N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DC$ 3:$ DC$ 985 )

February 14, 2003 Page 1 of 249 RMA_ DATA. xls  Var Desc Record for the Final Metal Product and Machinery Rule VARIABLE DESCRIPTIONS FOR RMA_ DATA. XLS Final MP& M Rule VARIABLE DESCRIPTION WORKSHEET COLUMN CBI FORMULA Applying A Sector Average Adjustment Factor to Negative Values: ICR VOS Value of Shipments, 1997 excluding observations with missing ICR values Summary W N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ CY$ 3:$ CY$ 985 )

Applying A Sector Average Adjustment Factor to Negative Values: Avg. ICR Average ICR value weighted by value of shipments including an adjustment factor for negative values Summary X N = IF( ISERR( V3/ W3)," NA", V3/ W3)

Excluding Negative Values: Wgtd. PTRA PTRA weighted by value of shipments excluding negative values Summary Y N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DL$ 3:$ DL$ 985 )

Excluding Negative Values: PTRA VOS Value of Shipments, 1997 excluding observations with missing PTRA values Summary Z N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DN$ 3:$ DN$ 985 )

Excluding Negative Values: Avg. PTRA Average PTRA value weighted by value of shipments excluding negative values Summary AA N = IF( ISERR( Y3/ Z3)," NA", Y3/ Z3)

Excluding Negative Values: Wgtd. ICR ICR weighted by value of shipments excluding negative values Summary AB N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DM$ 3:$ DM$ 98 5)

Excluding Negative Values: ICR VOS Value of Shipments, 1997 excluding observations with missing ICR values Summary AC N = SUMIF( Final_ data!$ CS$ 3:$ CS$ 985, Summary!$ A3, Final_ data!$ DO$ 3:$ DO$ 98 5)

Excluding Negative Values: Avg. ICR Average ICR value weighted by value of shipments excluding negative values Summary AD N = IF( ISERR( AB3/ AC3)," NA", AB3/ AC3)

SIC SIC Code Final_ data A N DATE RANGE Date Range Final_ data B N Number Of Statements Number Of Statements Final_ data C N Cash & Equivalents Cash & Equivalents Final_ data D Y Trade Receivables  net Trade Receivables  net Final_ data E Y Inventory Inventory Final_ data F Y All Other Current ( Assets) All Other Current ( Assets) Final_ data G Y Total Current ( Assets) Total Current ( Assets) Final_ data H Y Fixed Assets ( net) Fixed Assets ( net) Final_ data I Y Intangibles ( net) Intangibles ( net) Final_ data J Y All Other Non Current ( Assets) All Other Non Current ( Assets) Final_ data K Y Total Total Final_ data L Y Notes Payable Short Term Notes Payable Short Term Final_ data M Y Cur. Mat.  L/ T/ D Cur. Mat.  L/ T/ D Final_ data N Y Trade Payables Trade Payables Final_ data O Y Income Taxes Payable Income Taxes Payable Final_ data P Y All Other Current ( Liabilities) All Other Current ( Liabilities) Final_ data Q Y Total Current ( Liabilities) Total Current ( Liabilities) Final_ data R Y Long Term Debt Long Term Debt Final_ data S Y Deferred Taxes Deferred Taxes Final_ data T Y All Other Non Current ( Liabilities) All Other Non Current ( Liabilities) Final_ data U Y Net Worth Net Worth Final_ data V Y Total Liabilities & Net Worth Total Liabilities & Net Worth Final_ data W Y Net Sales Net Sales Final_ data X Y Gross Profit Gross Profit Final_ data Y Y Operating Expenses Operating Expenses Final_ data Z Y Operating Profit Operating Profit Final_ data AA Y OP< 0 Operating Profit Negative? 1= yes, 0= no Final_ data AB Y = IF( AA4< 0,1,0) All Other Expenses ( net) All Other Expenses ( net) Final_ data AC Y Profit Before Taxes Profit Before Taxes Final_ data AD Y PBT< 0 Profit Before Taxes Negative? 1= yes, 0= no Final_ data AE Y = IF( AD4< 0,1,0) Current  High Current Ratio  High Final_ data AF Y Current  Median Current Ratio  Median Final_ data AG Y Current  Low Current Ratio  Low Final_ data AH Y Quick  High Quick Ratio  High Final_ data AI Y Quick  Median Quick Ratio  Median Final_ data AJ Y Quick  Low Quick Ratio  Low Final_ data AK Y Sales/ Receivables  High Sales/ Receivables  High Final_ data AL Y Sales/ Receivables  Median Sales/ Receivables  Median Final_ data AM Y February 14, 2003 Page 2 of 249 RMA_ DATA. xls  Var Desc Record for the Final Metal Product and Machinery Rule VARIABLE DESCRIPTIONS FOR RMA_ DATA. XLS Final MP& M Rule VARIABLE DESCRIPTION WORKSHEET COLUMN CBI FORMULA Sales/ Receivables  Low Sales/ Receivables  Low Final_ data AN Y Cost of Sales/ Inv  High Cost of Sales/ Inventory  High Final_ data AO Y Cost of Sales/ Inv  Median Cost of Sales/ Inventory  Median Final_ data AP Y Cost of Sales/ Inv  Low Cost of Sales/ Inventory  Low Final_ data AQ Y Cost of Sales/ Pay  High Cost of Sales/ Payables  High Final_ data AR Y Cost of Sales/ Pay  Median Cost of Sales/ Payables  Median Final_ data AS Y Cost of Sales/ Pay  Low Cost of Sales/ Payables  Low Final_ data AT Y Sales/ Working  High Sales/ Working Capital  High Final_ data AU Y Sales/ Working  Median Sales/ Working Capital  Median Final_ data AV Y Sales/ Working  Low Sales/ Working Capital  Low Final_ data AW Y EBIT/ Interest  High EBIT/ Interest  High Final_ data AX Y EBIT/ Interest  Median EBIT/ Interest  Median Final_ data AY Y EBIT/ Interest  Low EBIT/ Interest  Low Final_ data AZ Y ICR< 0 EBIT/ Interest  Low Negative? 1= yes, 0= no Final_ data BA Y = IF( AZ4< 0,1,0) Net Profit + Depr  High Net Profit + Depr., Dep., Amort./ Curr. Mat. L/ T/ D  High Final_ data BB Y Net Profit + Depr  Median Net Profit + Depr., Dep., Amort./ Curr. Mat. L/ T/ D  Median Final_ data BC Y Net Profit + Depr  Low Net Profit + Depr., Dep., Amort./ Curr. Mat. L/ T/ D  Low Final_ data BD Y Fixed/ Worth  High Fixed/ Worth  High Final_ data BE Y Fixed/ Worth  Median Fixed/ Worth  Median Final_ data BF Y Fixed/ Worth  Low Fixed/ Worth  Low Final_ data BG Y Debt/ Worth  High Debt/ Worth  High Final_ data BH Y Debt/ Worth  Median Debt/ Worth  Median Final_ data BI Y Debt/ Worth  Low Debt/ Worth  Low Final_ data BJ Y % Profit Before Taxes/ Tang  High % Profit Before Taxes/ Tangible Net Worth  High Final_ data BK Y % Profit Before Taxes/ Tang  Median % Profit Before Taxes/ Tangible Net Worth  Median Final_ data BL Y % Profit Before Taxes/ Tang  Low % Profit Before Taxes/ Tangible Net Worth  Low Final_ data BM Y % Profit Before Taxes/ Total  High % Profit Before Taxes/ Total Assets  High Final_ data BN Y % Profit Before Taxes/ Total  Median % Profit Before Taxes/ Total Assets  Median Final_ data BO Y % Profit Before Taxes/ Total  Low % Profit Before Taxes/ Total Assets  Low Final_ data BP Y PTRA< 0 % Profit Before Taxes/ Total Assets  Low Negative? 1= yes, 0= no Final_ data BQ Y = IF( BP4< 0,1,0)

Sales/ Net  High Sales/ Net Fixed Assets  High Final_ data BR Y Sales/ Net  Median Sales/ Net Fixed Assets  Median Final_ data BS Y Sales/ Net  Low Sales/ Net Fixed Assets  Low Final_ data BT Y Sales/ Total  High Sales/ Total Assets  High Final_ data BU Y Sales/ Total  Median Sales/ Total Assets  Median Final_ data BV Y Sales/ Total  Low Sales/ Total Assets  Low Final_ data BW Y % Depr. Dep.  High % Depr., Dep., Amort./ Sales  High Final_ data BX Y % Depr. Dep.  Median % Depr., Dep., Amort./ Sales  Median Final_ data BY Y DDA/ S< 0 % Depr., Dep., Amort./ Sales  Median Negative? 1= yes, 0= no Final_ data BZ Y = IF( BY4< 0,1,0)

% Depr. Dep.  Low % Depr., Dep., Amort./ Sales.  Low Final_ data CA Y % Officers  High % Officers', Directors', Owners' Comp/ Sales  High Final_ data CB Y % Officers  Median % Officers', Directors', Owners' Comp/ Sales  Median Final_ data CC Y % Officers  Low % Officers', Directors', Owners' Comp/ Sales  Low Final_ data CD Y Net Sales ($) Net Sales ($) Final_ data CE Y Total Assets ($) Total Assets ($) Final_ data CF Y YEAR Year Final_ data CG N SIC Group SIC Group Final_ data CH N = IF( ISNA( VLOOKUP( A4,' SIC Groups'!$ A$ 1:$ I$ 66,2,0)),"", VLOOKUP( A4,' SIC Groups'!$ A$ 1:$ I$ 66,2,0))

Sector Sector Final_ data CI N = VLOOKUP( A4,[ sic_ key. xls] All_ SIC!$ A$ 2:$ G$ 226,2,0) M/ N M = Manufacturing; N = Non manufacturing Final_ data CJ N New Sector New Sector Final_ data CK N = IF( ISNA( VLOOKUP($ A4,' SIC Groups'!$ A$ 1:$ I$ 66,6,0)), CI4, VLOOKUP($ A4,' SIC Groups'!$ A$ 1:$ I$ 66,6,0))

February 14, 2003 Page 3 of 249 RMA_ DATA. xls  Var Desc Record for the Final Metal Product and Machinery Rule VARIABLE DESCRIPTIONS FOR RMA_ DATA. XLS Final MP& M Rule VARIABLE DESCRIPTION WORKSHEET COLUMN CBI FORMULA PTRA PTRA: % Profit Before Taxes/ Total  Low*( Operating Profit/ Profit Before Taxes) Final_ data CL N = BP4*( AA4/ AD4)

ICR ICR: EBIT/ Interest  Low*( 1+(% Depr. Dep.  Median/ Operating Profit) Final_ data CM N = AZ4*( 1+( BY4/ AA4))

97 VOS Value of Shipments, 1997 Final_ data CN N = IF( ISNA( VLOOKUP( A4,' 97 VOS'!$ A$ 6:$ C$ 499,3,0)), VLOOKUP( A4,' SIC Groups'!$ A$ 1:$ I$ 66,8,0), VLOOKUP( A4,' 97 VOS'!$ A$ 6:$ C$ 499,3,0)) Neg. PTRA Is PTRA negative? 1= yes; 0= no Final_ data CO N = IF( OR( BP4< 0, AA4< 0, AD4< 0), 1,0) Missing PTRA Is PTRA missing? 1= yes; 0= no Final_ data CP N = IF( ISERR( CL4), 1,0) Neg. ICR Is ICR negative? 1= yes; 0= no Final_ data CQ N = IF( OR( AZ4< 0, BY4< 0, AA4< 0), 1,0) Missing ICR Is ICR missing? 1= yes; 0= no Final_ data CR N = IF( ISERR( CM4), 1,0) Sect& Man Sector number and manufacturing type Final_ data CS N = CK4& CJ4 Including Negative Values without any adjustment: New PTRA PTRA including negative values and excluding missing values Final_ data CT N = IF( CP4= 1,"", IF( CO4= 1, BP4, CL4))

Including Negative Values without any adjustment: New ICR ICR including negative values and excluding missing values Final_ data CU N = IF( CR4= 1,"", IF( CQ4= 1, AZ4, CM4))

Including Negative Values without any adjustment: Wtd. PTRA PTRA including negative values and excluding missing values weighted by value of shipments Final_ data CV N = IF( CT4="","", CT4*$ CN4)

Including Negative Values without any adjustment: Wtd. ICR ICR including negative values and excluding missing values weighted by value of shipments Final_ data CW N = IF( CU4="","", CU4*$ CN4)

Including Negative Values without any adjustment: PTRA VOS Value of Shipments, 1997 excluding observations with missing PTRA values Final_ data CX N = IF( CP4= 1,"",$ CN4)

Including Negative Values without any adjustment: ICR VOS Value of Shipments, 1997 excluding observations with missing ICR values Final_ data CY N = IF( CR4= 1,"", CN4)

Including Negative Values with a sector specific adjustment: New PTRA PTRA including negative values with a sector specific adjustment and excluding missing values Final_ data CZ N = IF( CP4= 1,"", IF( CO4= 1, BP4+ VLOOKUP($ CS4, Summary!$ A$ 2:$ AD$ 33,16,0), C L4))

Including Negative Values with a sector specific adjustment: New ICR ICR including negative values with a sector specific adjustment and excluding missing values Final_ data DA N = IF( CR4= 1,"", IF( CQ4= 1, AZ4+ VLOOKUP($ CS4, Summary!$ A$ 2:$ AD$ 33,18,0), C M4))

Including Negative Values with a sector specific adjustment: Wtd. PTRA PTRA including negative values with a sector specific adjustment and excluding missing values weighted by value of shipments Final_ data DB N = IF( CZ4="","", CZ4*$ CN4)

Including Negative Values with a sector specific adjustment: Wtd. ICR ICR including negative values with a sector specific adjustment and excluding missing values weighted by value of shipments Final_ data DC N = IF( DA4="","", DA4*$ CN4)

Including Negative Values with a sector specific adjustment: PTRA VOS Value of Shipments, 1997 excluding observations with missing PTRA values Final_ data DD N = IF( CP4= 1,"",$ CN4)

Including Negative Values with a sector specific adjustment: ICR VOS Value of Shipments, 1997 excluding observations with missing ICR values Final_ data DE N = IF( CR4= 1,"", CN4)

Including Negative Values with a sector specific adjustment: PTRA Adj. Sector specific PTRA adjustment factor Final_ data DF N = IF( OR( CO4= 1, CP4= 1),"", CL4 BP4)

Including Negative Values with a sector specific adjustment: Wtd. PTRA Adj. Sector specific PTRA adjustment factor weighted by value of shipments Final_ data DG N = IF( DF4="","", DF4*$ CN4)

Including Negative Values with a sector specific adjustment: ICR Adj. Sector specific ICR adjustment factor Final_ data DH N = IF( OR( CQ4= 1, CR4= 1),"", CM4 AZ4)

Including Negative Values with a sector specific adjustment: Wtd. ICR Adj. Sector specific ICR adjustment factor weighted by value of shipments Final_ data DI N = IF( DH4="","", DH4*$ CN4)

Excluding Negative Values: New PTRA PTRA excluding negative and missing values Final_ data DJ N = IF( OR( CO4= 1, CP4= 1),"", CL4)

Excluding Negative Values: New ICR ICR excluding negative and missing values Final_ data DK N = IF( OR( CQ4= 1, CR4= 1),"", CM4)

Excluding Negative Values: Wtd. PTRA PTRA excluding negative and missing values weighted by value of shipments Final_ data DL N = IF( DJ4="","", DJ4*$ CN4)

Excluding Negative Values: Wtd. ICR ICR excluding negative and missing values weighted by value of shipments Final_ data DM N = IF( DK4="","", DK4*$ CN4)

February 14, 2003 Page 4 of 249 RMA_ DATA. xls  Var Desc Record for the Final Metal Product and Machinery Rule VARIABLE DESCRIPTIONS FOR RMA_ DATA. XLS Final MP& M Rule VARIABLE DESCRIPTION WORKSHEET COLUMN CBI FORMULA Excluding Negative Values: PTRA VOS Value of Shipments, 1997 excluding observations with missing or negative PTRA values Final_ data DN N = IF( OR( CO4= 1, CP4= 1),"",$ CN4)

Excluding Negative Values: ICR VOS Value of Shipments, 1997 excluding observations with missing or negative ICR values Final_ data DO N = IF( OR( CQ4= 1, CR4= 1),"",$ CN4)

SIC SIC Codes or SIC Groups SIC Groups A N SIC Group SIC Groups SIC Groups B N M/ N M = Manufacturing; N = Non manufacturing SIC Groups C N Sector Sector Number SIC Groups D N Manual Sector Sector Number entered manually SIC Groups E N New Sector Final sector number SIC Groups F N = IF( ISBLANK( E6), D6, E6) 97 VOS Value of Shipments, 1997 SIC Groups G N = VLOOKUP( A6,' 97 VOS'!$ A$ 5:$ C$ 499,3,0) Group VOS Sum of value of shipments by SIC Group SIC Groups H N = SUM( G4: G5) Notes Notes SIC Groups I N Sector Sector Number by_ sector A N Sector Name Sector Name by_ sector B N Total Total number of SIC Codes in that sector by_ sector C N = SUM( D6: I6) No Years of Data Available Number of SIC Codes with no RMA data in that sector by_ sector D N = COUNTIF( SICs!$ J$ 3:$ J$ 176," S"& by_ sector!$ A6& D$ 4)

2 years Number of SIC Codes with two years of RMA data in that sector by_ sector E N = COUNTIF( SICs!$ J$ 3:$ J$ 176," S"& by_ sector!$ A6&" Y"& E$ 4)

4 years Number of SIC Codes with four years of RMA data in that sector by_ sector F N = COUNTIF( SICs!$ J$ 3:$ J$ 176," S"& by_ sector!$ A6&" Y"& F$ 4)

5 years Number of SIC Codes with five years of RMA data in that sector by_ sector G N = COUNTIF( SICs!$ J$ 3:$ J$ 176," S"& by_ sector!$ A6&" Y"& G$ 4)

7 years Number of SIC Codes with seven years of RMA data in that sector by_ sector H N = COUNTIF( SICs!$ J$ 3:$ J$ 176," S"& by_ sector!$ A6&" Y"& H$ 4)

Complete Data ( 8 years: 94 01) Number of SIC Codes with a complete set of RMA data ( eight years) in that sector by_ sector I N = COUNTIF( SICs!$ J$ 3:$ J$ 176," S"& by_ sector!$ A6&" Y"& I$ 4)

SIC SIC Code SICs A N On 01 CD Is data available for that SIC code on the 2001 RMA CD? No= N/ A SICs B N On 98 CD Is data available for that SIC code on the 1998 RMA CD? No= N/ A; SIC Group SICs C N Sector Sector Number SICs D N = VLOOKUP( A3,[ sic_ key. xls] All_ SIC!$ A$ 2:$ G$ 226,2,0) Sector Name Sector Name SICs E N = VLOOKUP( A3,[ sic_ key. xls] All_ SIC!$ A$ 2:$ G$ 226,3,0) M/ N M = Manufacturing; N = Non manufacturing SICs F N Number of Years of Data Total years of data available for that SIC Code SICs G N = VLOOKUP( A3,' years of data'!$ A$ 4:$ J$ 171,10,0) Number of Years of SIC Group Data Total years of data available for that SIC Group SICs H N = VLOOKUP( C3,' years of data'!$ A$ 4:$ J$ 171,10,0) Total Years Total years of data available for that SIC Code or SIC Group SICs I N = IF( ISNA( G3), H3, IF( ISNA( H3), G3, G3+ H3)) Sector& Years Sector Number and Total Years SICs J N = IF( ISNA( I3)," S"& D3&" NoData"," S"& D3&" Y"& I3) SIC SIC Code or SIC Group years of data A N 1994 Is RMA data available for that SIC Code in 1994? 1= yes; blank= no years of data B N 1995 Is RMA data available for that SIC Code in 1995? 1= yes; blank= no years of data C N 1996 Is RMA data available for that SIC Code in 1996? 1= yes; blank= no years of data D N 1997 Is RMA data available for that SIC Code in 1997? 1= yes; blank= no years of data E N 1998 Is RMA data available for that SIC Code in 1998? 1= yes; blank= no years of data F N 1999 Is RMA data available for that SIC Code in 1999? 1= yes; blank= no years of data G N 2000 Is RMA data available for that SIC Code in 2000? 1= yes; blank= no years of data H N 2001 Is RMA data available for that SIC Code in 2001? 1= yes; blank= no years of data I N Grand Total Total years of data available for that SIC Code years of data J N February 14, 2003 Page 5 of 249 RMA_ DATA. xls  Var Desc Record for the Final Metal Product and Machinery Rule VARIABLE DESCRIPTIONS FOR RMA_ DATA. XLS Final MP& M Rule VARIABLE DESCRIPTION WORKSHEET COLUMN CBI FORMULA SIC$ SIC Code converted to text 97 VOS A N = TEXT( B6,0) SIC SIC Code 97 VOS B N Value of Shipments Value of Shipments, 1997 97 VOS C N Source Source if VOS was estimated 97 VOS D N February 14, 2003 Page 6 of 249 RMA_ DATA. xls  Var Desc Record for the Final Metal Product and Machinery Rule 1 23456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 A B C D E F G H I J K L M N O Applying No Adjustment Factor to Negative Values Sect Sector Sector Name Total Obs. Neg. PTRA Miss. PTRA Data Neg. ICR Miss. ICR Data Wgtd. PTRA PTRA VOS Avg. PTRA Wgtd. ICR ICR VOS Avg. ICR Wgtd. PTRA Adj. Factor 1M 1 Hardware 174 15 1 1  3,211,628,938 1,279,735,621 2.5 3,004,640,481 1,293,097,111 2.3 684,368,103 2M 2 Aircraft 16     943,416,203 341,522,760 2.8 742,419,151 341,522,760 2.2 204,336,317 3M 3 Electronic Equipment 39 5  2  2,003,923,683 1,038,566,936 1.9 2,301,501,960 1,038,566,936 2.2 307,757,612 4M 4 Stationary Industrial Equipment 108 20 2 4 1 2,569,585,838 1,224,005,833 2.1 2,594,709,102 1,230,182,051 2.1 550,655,188 5M 5 Ordnance        NA   NA  6M 6 Aerospace        NA   NA  7M 7 Mobile Industrial Equipment 32 2 1 1  932,480,009 357,312,694 2.6 790,388,124 366,976,917 2.2 209,317,518 8M 8 Instruments 84 15 1 5  1,816,984,162 939,877,469 1.9 2,038,046,786 950,445,035 2.1 384,308,528 9M 9 Precious Metals and Jewelry 8     79,666,226 43,334,688 1.8 71,765,288 43,334,688 1.7 25,497,866 10M 10 Ships and Boats 11 1 1 1  201,536,751 119,105,861 1.7 211,935,601 136,120,984 1.6 47,274,263 11M 11 Household Equipment 75 6  2  1,344,560,886 482,808,318 2.8 1,086,517,615 482,808,318 2.3 216,886,808 12M 12 Railroad 7 2  2  57,328,621 55,416,445 1.0 69,520,240 55,416,445 1.3 21,703,764 13M 13 Motor Vehicle 36 2    6,194,676,917 2,577,187,719 2.4 5,221,876,214 2,577,187,719 2.0 1,543,028,611 14M 14 Bus & Truck 16 1    262,914,022 113,816,752 2.3 225,323,718 113,816,752 2.0 58,355,616 15M 15 Office Machine 13 5  3  1,291,259 656,306,812 0.0 867,432,506 656,306,812 1.3 87,757,675 16M 16 Printed Circuit Boards 8  1   168,805,890 68,513,032 2.5 180,150,512 78,300,608 2.3 30,801,068 17M 17 Job Shop 11 2    176,889,264 85,740,191 2.1 181,597,602 85,740,191 2.1 41,041,036 18M 18 Other Metal Products 32 7 2 2 1 266,464,043 318,626,089 0.8 518,133,228 339,931,850 1.5 87,927,581 19M 19 Iron and Steel 24 2    369,248,287 153,601,064 2.4 334,072,062 153,601,064 2.2 87,027,444 Manufacturing Average 694 85 9 23 2 20,601,400,998 9,855,478,284 2.1 20,440,030,188 9,943,356,240 2.1 4,588,044,996 2N 2 Aircraft 8 4    22,819,014 74,801,184 0.3 216,317,532 74,801,184 2.9 20,013,969 4N 4 Stationary Industrial Equipment 23 1    638,804,996 261,154,178 2.4 726,467,875 261,154,178 2.8 178,167,284 8N 8 Instruments 5     70,214,282 34,827,640 2.0 70,558,817 34,827,640 2.0 6,827,977 9N 9 Precious Metals and Jewelry        NA   NA  10N 10 Ships and Boats 39 13 1   108,973,619 116,647,803 0.9 246,348,759 120,501,060 2.0 33,052,024 11N 11 Household Equipment 18 1    355,565,680 135,883,319 2.6 281,899,727 135,883,319 2.1 67,733,956 12N 12 Railroad 8 1    352,787,038 115,665,555 3.1 315,808,402 115,665,555 2.7 85,310,442 13N 13 Motor Vehicle 105 7 2   14,285,511,679 9,582,019,324 1.5 16,179,572,941 9,622,401,483 1.7 1,479,002,389 14N 14 Bus & Truck 54 10 1 3  2,508,288,624 1,491,503,088 1.7 4,205,295,452 1,493,209,611 2.8 573,920,745 15N 15 Office Machine 12 8  3 1 31,984,121 160,662,608 0.2 171,879,710 153,097,439 1.1 34,471,971 18N 18 Other Metal Products 16 3  1  181,988,799 110,234,105 1.7 200,647,827 110,234,105 1.8 33,573,557 Non Manufacturing Average 288 48 4 7 1 18,556,937,852 12,083,398,804 1.5 22,614,797,043 12,121,775,574 1.9 2,512,074,314 February 14, 2003 Page 7 of 249 RMA_ DATA. xls  Summary Record for the Final Metal Product and Machinery Rule 1 23456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 P Q R S T U V W X Y Z AA AB Applying A Sector Average Adjustment Factor to Negative Values Excluding Negative Values PTRA Adj. Factor Wgtd. ICR Adj. Factor ICR Adj. Factor Wgtd. PTRA PTRA VOS Avg. PTRA Wgtd. ICR ICR VOS Avg. ICR Wgtd. PTRA PTRA VOS Avg. PTRA Wgtd. ICR 0.53 968,581,247 0.75 3,256,186,603 1,279,735,621 2.5 3,008,907,900 1,293,097,111 2.3 3,285,246,985 1,196,414,919 2.7 2,996,094,702 0.60 214,557,334 0.63 943,416,203 341,522,760 2.8 742,419,151 341,522,760 2.2 943,416,203 341,522,760 2.8 742,419,151 0.30 678,638,485 0.65 2,030,870,906 1,038,566,936 2.0 2,307,034,337 1,038,566,936 2.2 2,046,209,111 947,630,129 2.2 2,309,121,878 0.45 756,850,102 0.62 2,622,328,267 1,224,005,833 2.1 2,609,678,081 1,230,182,051 2.1 2,667,952,170 1,106,769,053 2.4 2,574,426,073 NA  NA   NA   NA   NA  NA  NA   NA   NA   NA  0.59 199,989,587 0.54 941,405,893 357,312,694 2.6 793,424,990 366,976,917 2.2 928,431,101 342,075,883 2.7 783,143,758 0.41 611,380,595 0.64 1,873,609,184 939,877,469 2.0 2,070,156,155 950,445,035 2.2 2,034,498,139 801,393,467 2.5 2,046,166,540 0.59 12,180,092 0.28 79,666,226 43,334,688 1.8 71,765,288 43,334,688 1.7 79,666,226 43,334,688 1.8 71,765,288 0.40 64,729,730 0.48 201,536,751 119,105,861 1.7 220,026,817 136,120,984 1.6 201,536,751 119,105,861 1.7 232,353,749 0.45 258,834,920 0.54 1,356,682,568 482,808,318 2.8 1,092,373,993 482,808,318 2.3 1,371,402,022 455,824,433 3.0 1,085,564,513 0.39 18,853,776 0.34 63,529,697 55,416,445 1.1 74,907,033 55,416,445 1.4 81,870,190 39,583,175 2.1 75,853,548 0.60 1,413,008,606 0.55 6,281,264,455 2,577,187,719 2.4 5,221,876,214 2,577,187,719 2.0 6,242,535,345 2,432,568,016 2.6 5,221,876,214 0.51 47,894,597 0.42 267,384,556 113,816,752 2.3 225,323,718 113,816,752 2.0 289,072,000 105,097,426 2.8 225,323,718 0.13 253,145,990 0.39 29,111,175 656,306,812 0.0 928,295,733 656,306,812 1.4 704,147,874 448,252,070 1.6 1,006,028,287 0.45 61,720,842 0.79 168,805,890 68,513,032 2.5 180,150,512 78,300,608 2.3 168,805,890 68,513,032 2.5 180,150,512 0.48 61,010,126 0.71 183,808,235 85,740,191 2.1 181,597,602 85,740,191 2.1 180,378,135 71,285,539 2.5 181,597,602 0.28 150,227,291 0.44 291,053,947 318,626,089 0.9 529,320,072 339,931,850 1.6 354,900,699 229,518,840 1.5 518,914,251 0.57 94,843,910 0.62 377,821,085 153,601,064 2.5 334,072,062 153,601,064 2.2 381,352,890 138,470,310 2.8 334,072,062 0.47 5,866,447,232 0.59 20,968,481,638 9,855,478,284 2.1 20,591,329,657 9,943,356,240 2.1 21,961,421,731 8,887,359,600 2.5 20,584,871,845 0.27 138,711,304 1.85 32,825,999 74,801,184 0.4 216,317,532 74,801,184 2.9 44,324,354 37,400,592 1.2 216,317,532 0.68 333,721,693 1.28 642,980,886 261,154,178 2.5 726,467,875 261,154,178 2.8 633,296,150 255,033,238 2.5 726,467,875 0.20 17,620,804 0.51 70,214,282 34,827,640 2.0 70,558,817 34,827,640 2.0 70,214,282 34,827,640 2.0 70,558,817 NA  NA   NA   NA   NA  0.28 97,591,437 0.81 117,258,417 116,647,803 1.0 246,348,759 120,501,060 2.0 138,081,444 87,408,943 1.6 246,348,759 0.50 75,237,086 0.55 356,901,514 135,883,319 2.6 281,899,727 135,883,319 2.1 356,101,652 133,203,460 2.7 281,899,727 0.74 109,056,222 0.94 363,450,844 115,665,555 3.1 315,808,402 115,665,555 2.7 375,920,150 101,207,361 3.7 315,808,402 0.15 3,018,362,063 0.31 14,291,751,257 9,582,019,324 1.5 16,179,572,941 9,622,401,483 1.7 14,320,684,230 9,541,594,937 1.5 16,179,572,941 0.38 2,237,832,694 1.50 2,589,135,342 1,491,503,088 1.7 4,212,968,013 1,493,209,611 2.8 2,822,030,042 1,281,398,939 2.2 4,200,687,839 0.21 36,823,254 0.24 53,965,857 160,662,608 0.3 184,061,589 153,097,439 1.2 195,903,641 58,212,908 3.4 165,237,918 0.30 57,671,653 0.52 188,805,627 110,234,105 1.7 201,506,256 110,234,105 1.8 195,325,584 87,852,000 2.2 203,437,201 0.21 6,122,628,210 0.51 18,707,290,025 12,083,398,804 1.5 22,635,509,912 12,121,775,574 1.9 19,151,881,529 11,618,140,018 1.6 22,606,337,012 February 14, 2003 Page 8 of 249 RMA_ DATA. xls  Summary Record for the Final Metal Product and Machinery Rule 1 23456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 AC AD ICR VOS Avg. ICR 1,287,399,925 2.3 341,522,760 2.2 1,030,100,360 2.2 1,205,851,514 2.1  NA  NA 361,404,328 2.2 900,528,189 2.3 43,334,688 1.7 119,105,861 2.0 471,884,337 2.3 39,583,175 1.9 2,577,187,719 2.0 113,816,752 2.0 498,512,686 2.0 78,300,608 2.3 85,740,191 2.1 314,618,443 1.6 153,601,064 2.2 9,622,492,599 2.1 74,801,184 2.9 261,154,178 2.8 34,827,640 2.0  NA 120,501,060 2.0 135,883,319 2.1 115,665,555 2.7 9,622,401,483 1.7 1,488,090,041 2.8 102,449,700 1.6 108,593,297 1.9 12,064,367,457 1.9 February 14, 2003 Page 9 of 249 RMA_ DATA. xls  Summary Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 A B C D E F G H I Moderate Threshold Calculations Source: Risk Management Association, Annual Statement Studies, 1998 and 2001 CD's SIC DATE RANGE Number Of Statements Cash & Equivalents Trade Receivables  net Inventory All Other Current ( Assets) Total Current ( Assets) Fixed Assets ( net) 2522 4/ 1/ 93 3/ 31/ 94 31 2522 4/ 1/ 94 3/ 31/ 95 45 2522 4/ 1/ 95 3/ 31/ 96 39 2522 4/ 1/ 96 3/ 31/ 97 48 2522 4/ 1/ 97 3/ 31/ 98 44 2522 4/ 1/ 98 3/ 31/ 99 40 2522 4/ 1/ 99 3/ 31/ 00 49 2522 4/ 1/ 00 3/ 31/ 01 53 2531 4/ 1/ 93 3/ 31/ 94 15 2531 4/ 1/ 94 3/ 31/ 95 20 2531 4/ 1/ 95 3/ 31/ 96 24 2531 4/ 1/ 96 3/ 31/ 97 34 2531 4/ 1/ 97 3/ 31/ 98 29 2531 4/ 1/ 98 3/ 31/ 99 43 2531 4/ 1/ 99 3/ 31/ 00 43 2531 4/ 1/ 00 3/ 31/ 01 52 2796 4/ 1/ 93 3/ 31/ 94 43 2796 4/ 1/ 94 3/ 31/ 95 62 2796 4/ 1/ 95 3/ 31/ 96 50 2796 4/ 1/ 96 3/ 31/ 97 62 2796 4/ 1/ 97 3/ 31/ 98 46 2796 4/ 1/ 98 3/ 31/ 99 39 2796 4/ 1/ 99 3/ 31/ 00 49 2796 4/ 1/ 00 3/ 31/ 01 32 3315 4/ 1/ 93 3/ 31/ 94 33 3315 4/ 1/ 94 3/ 31/ 95 34 3315 4/ 1/ 95 3/ 31/ 96 37 3315 4/ 1/ 96 3/ 31/ 97 45 3315 4/ 1/ 97 3/ 31/ 98 54 3315 4/ 1/ 98 3/ 31/ 99 52 3315 4/ 1/ 99 3/ 31/ 00 58 3315 4/ 1/ 00 3/ 31/ 01 49 3316 4/ 1/ 93 3/ 31/ 94 54 3316 4/ 1/ 94 3/ 31/ 95 56 3316 4/ 1/ 95 3/ 31/ 96 54 3316 4/ 1/ 96 3/ 31/ 97 51 3316 4/ 1/ 97 3/ 31/ 98 61 3316 4/ 1/ 98 3/ 31/ 99 64 3316 4/ 1/ 99 3/ 31/ 00 54 3316 4/ 1/ 00 3/ 31/ 01 48 3317 4/ 1/ 93 3/ 31/ 94 40 3317 4/ 1/ 94 3/ 31/ 95 48 3317 4/ 1/ 95 3/ 31/ 96 50 3317 4/ 1/ 96 3/ 31/ 97 54 3317 4/ 1/ 97 3/ 31/ 98 54 3317 4/ 1/ 98 3/ 31/ 99 78 3317 4/ 1/ 99 3/ 31/ 00 65 3317 4/ 1/ 00 3/ 31/ 01 66 3398 4/ 1/ 93 3/ 31/ 94 58 3398 4/ 1/ 94 3/ 31/ 95 64 3398 4/ 1/ 95 3/ 31/ 96 73 3398 4/ 1/ 96 3/ 31/ 97 75 3398 4/ 1/ 97 3/ 31/ 98 61 3398 4/ 1/ 98 3/ 31/ 99 60 3398 4/ 1/ 99 3/ 31/ 00 75 3398 4/ 1/ 00 3/ 31/ 01 71 February 14, 2003 Page 10 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 J K L M N O P Q Intangibles ( net) All Other Non Current ( Assets) Total Notes Payable Short Term Cur. Mat.  L/ T/ D Trade Payables Income Taxes Payable All Other Current ( Liabilities)

February 14, 2003 Page 11 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 R S T U V W X Y Z Total Current ( Liabilities) Long Term Debt Deferred Taxes All Other Non Current ( Liabilities) Net Worth Total Liabilities & Net Worth Net Sales Gross Profit Operating Expenses February 14, 2003 Page 12 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 AA AB AC AD AE AF AG AH AI AJ AK Operating Profit OP< 0 All Other Expenses ( net) Profit Before Taxes PBT< 0 Current  High Current  Median Current  Low Quick  High Quick  Median Quick  Low February 14, 2003 Page 13 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 AL AM AN AO AP AQ AR Sales/ Receivables  High Sales/ Receivables  Median Sales/ Receivables  Low Cost of Sales/ Inv  High Cost of Sales/ Inv  Median Cost of Sales/ Inv  Low Cost of Sales/ Pay  High February 14, 2003 Page 14 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 AS AT AU AV AW AX AY AZ Cost of Sales/ Pay  Median Cost of Sales/ Pay  Low Sales/ Working  High Sales/ Working  Median Sales/ Working  Low EBIT/ Interest  High EBIT/ Interest  Median EBIT/ Interest  Low February 14, 2003 Page 15 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 BA BB BC BD BE BF BG BH BI ICR< 0 Net Profit + Depr  High Net Profit + Depr  Median Net Profit + Depr  Low Fixed/ Worth  High Fixed/ Worth  Median Fixed/ Worth  Low Debt/ Worth  High Debt/ Worth  Median February 14, 2003 Page 16 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 BJ BK BL BM BN Debt/ Worth  Low % Profit Before Taxes/ Tang  High % Profit Before Taxes/ Tang  Median % Profit Before Taxes/ Tang  Low % Profit Before Taxes/ Total  High February 14, 2003 Page 17 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 BO BP BQ BR BS BT BU BV % Profit Before Taxes/ Total  Median % Profit Before Taxes/ Total  Low PTRA< 0 Sales/ Net  High Sales/ Net  Median Sales/ Net  Low Sales/ Total  High Sales/ Total  Median February 14, 2003 Page 18 of 249 RMA_ DATA. xls  Final_ data Record for the Final Metal Product and Machinery Rule 12 3456789 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 BW BX BY BZ CA CB CC CD CE CF Sales/ Total  Low % Depr. Dep.  High % Depr. Dep.  Median DDA/ S< 0 % Depr. Dep.  Low % Officers  High % Officers  Median % Officers  Low Net Sales ($) Total Assets ($)


[Federal Register: December 28, 2005 (Volume 70, Number 248)]
[Notices]
[Page 76810-76811]
[DOCID:fr28de05-101]

-----------------------------------------------------------------------

DEPARTMENT OF ENERGY

Federal Energy Regulatory Commission

Notice of Application for Non-Project Use of Project Lands and
Waters and Soliciting Comments, Motions To Intervene, and Protests

December 16, 2005.
    Take notice that the following application has been filed with the
Commission and is available for public inspection:
    a. Application Type: Non-Project Use of Project Lands and Waters.
    b. Project No.: 2067-024.
    c. Date Filed: June 2, 2005.
    d. Applicant: Oakdale and San Joaquin Irrigation District.
    e. Name of Project: Tulloch Project.
    f. Location: Stanislaus River in Calaveras and Tuolumne Counties,
California.
    g. Filed Pursuant to: Federal Power Act, 16 U.S.C. 791 (a) 825(r)
and 799 and 801.

    h. Applicant Contact: Mr. Steve Felte, General Manager, P.O. 1158,
Pinecrest, CA 95364,<PHONE_NUMBER>.
    i. FERC Contacts: Any questions on this notice should be addressed
to Ms. Shana High at<PHONE_NUMBER>.
    j. Deadline for filing comments and or motions: January 17, 2006.
    All documents (original and eight copies) should be filed with: Ms.
Magalie R. Salas, Secretary, Federal Energy Regulatory Commission, 888
First Street, NE., Washington DC 20426. Please include the project
number (P-2067-024) on any comments or motions filed. Comments,
protests, and interventions may be filed electronically via the
Internet in lieu of paper. See, 18 CFR 385.2001(a)(1)(iii) and the
instructions on the Commission's Web site under the e-Filing link. The
Commission strongly encourages e-filings.
    k. Description of Proposal: Oakdale and San Joaquin Irrigation
District filed an application requesting Commission authorization to
transfer fee title of certain project lands to resolve some
encroachments and solve issues regarding the use of project lands for
private purposes.
    l. Location of the Applications: The filings are available for
review at the Commission in the Public Reference Room, located at 888
First Street, NE., Room 2A, Washington, DC 20426, or may be viewed on
the Commission's website at http://www.ferc.gov using the ``eLibrary''

link. Enter the docket number excluding the last three digits in the
docket number field to access the document. For assistance, please call
the Helpline at<PHONE_NUMBER> or contact<EMAIL_ADDRESS>
For TTY, contact<PHONE_NUMBER>.
    m. Individuals desiring to be included on the Commission's mailing
list should so indicate by writing to the Secretary of the Commission.
    n. Comments, Protests, or Motions to Intervene: Anyone may submit
comments, a protest, or a motion to intervene in accordance with the
requirements of Rules of Practice and Procedure, 18 CFR 385.210, .211,
.214. In determining the appropriate action to take, the Commission
will consider all protests or other comments filed, but only those who
file a motion to intervene in accordance with the Commission's Rules
may become a party to the proceeding. Any comments, protests, or
motions to intervene must be received on or before the specified
comment date for the particular application.
    o. Filing and Service of Responsive Documents: Any filings must
bear in all capital letters the title ``COMMENTS'', ``RECOMMENDATIONS
FOR TERMS AND CONDITIONS'', ``PROTEST'', or ``MOTION TO INTERVENE'', as
applicable, and the Project Number of the particular application to
which the filing refers. A copy of any motion to intervene must also be
served upon each representative of the Applicant specified in the
particular application.
    p. Agency Comments: Federal, state, and local agencies are invited
to file comments on the described applications. A copy of the
applications may be obtained by agencies directly from the Applicant.
If an agency does not file comments within the time specified for
filing comments, it will be presumed to have no comments. One copy of
an agency's comments must also be sent to the Applicant's
representatives.
    q. Comments, protests and interventions may be filed electronically
via the Internet in lieu of paper. See, 18 CFR 385.2001(a)(1)(iii) and
the instructions on the Commission's Web site at http://www.ferc.gov

under the ``e-Filing'' link.

Magalie R. Salas,
Secretary.
[FR Doc. E5-7908 Filed 12-27-05; 8:45 am]

BILLING CODE 6717-01-P