dictionary using /homes/data/spd/spdc01.dat { **************************************************************** * * NOTE: This complete dataset has over more than 2,047 variables, * the maximum number of variables for Intercooled Stata 8.0. * So, variables at the end are commented out. The commenting * can be removed in an editor by replacing '*#' with ''. * Stata/SE can handle up to 32,766 variables, default=5000. * **************************************************************** *This program reads the 2001 Survey of Program Dynamics Cross-Sectional Data File *by Jean Roth Fri May 30 14:25:35 EDT 2003 *Please report errors to jroth@nber.org *run with do spdc01 *Change output file name/location as desired in the first line of the .dct file *If you are using a PC, you may need to change the direction of the slashes, as in C:\ * or "\\Nber\home\data\spd\spdc01.dat" * The following changes in variable names have been made, if necessary: * '$' to 'd'; '-' to '_'; '%' to 'p'; * Note: Variable names in Stata are case-sensitive _column(1 ) byte rsnnie1 %2f "HSC:Reason:Interview/Non-interview 01" _column(3 ) str9 pp_id %9s "SC: Household Identification No." _column(12 ) int addide1 %3f "SC: Household Address ID" _column(15 ) str15 ihhkey01 %15s "SC: Unique household identifier 01" _column(30 ) byte halfsamp %1f "SC: Half sample code-variance estimate" _column(31 ) byte varstrat %2f "SC: Stratum for Variance Estimation" _column(33 ) int pp_pnum %4f "SC: Person Number" _column(37 ) int pp_entry %3f "SC: Entry Address ID" _column(40 ) double spdcsw01 %10.2f "SC: SPD Cross-sectional Weight" _column(50 ) int sipp_pnl %4f "SC: SIPP Panel: 1992 or 1993" _column(54 ) int outcomr1 %3f "HSC: Interview status code" _column(57 ) byte pge15u1 %2f "HDE: Total # of persons 15+ for sample" _column(59 ) int respnmr1 %4f "HDE: Household respondent person No." _column(63 ) byte numperr1 %2f "HDE: Number of persons in household" _column(65 ) byte monthu1 %2f "HDE: Month of survey" _column(67 ) byte undr15r1 %2f "HDE:Persons under age 15 in hhold" _column(69 ) byte undr18r1 %2f "HDE:Persons under age 18 in hhold" _column(71 ) byte h5to18r1 %2f "HDE:Persons age 5 to 18 in hhold" _column(73 ) byte g_regr1 %1f "HDE:Region code" _column(74 ) byte stfipsr1 %2f "HDE: FIPS state code" _column(76 ) byte tenureu1 %1f "HCV: Tenure" _column(77 ) str1 publicu1 %1s "HCV: Public housing project" _column(78 ) str1 lorentu1 %1s "HCV: Reduced rent-Fed/State/loc gov pd" _column(79 ) str1 phsec8u1 %1s "HCV: Reduced rent-Title 8 or gov't pro" _column(80 ) str1 rntm1u1 %1s "HCV: Month rec'd Rent assist - Jan 200" _column(81 ) str1 rntm2u1 %1s "HCV: Month rec'd Rent assist - Feb 200" _column(82 ) str1 rntm3u1 %1s "HCV: Month rec'd Rent assist - Mar 200" _column(83 ) str1 rntm4u1 %1s "HCV: Month rec'd Rent assist - Apr 200" _column(84 ) str1 rntm5u1 %1s "HCV: Month rec'd Rent assist - May 200" _column(85 ) str1 rntm6u1 %1s "HCV: Month rec'd Rent assist - Jun 200" _column(86 ) str1 rntm7u1 %1s "HCV: Month rec'd Rent assist - Jul 200" _column(87 ) str1 rntm8u1 %1s "HCV: Month rec'd Rent assist - Aug 200" _column(88 ) str1 rntm9u1 %1s "HCV: Month rec'd Rent assist - Sep 200" _column(89 ) str1 rntm10u1 %1s "HCV: Month rec'd Rent assist - Oct 200" _column(90 ) str1 rntm11u1 %1s "HCV: Month rec'd Rent assist - Nov 200" _column(91 ) str1 rntm12u1 %1s "HCV: Month rec'd Rent assist - Dec 200" _column(92 ) str2 rntmntu1 %2s "HCV: Total months rent assist in 2000" _column(94 ) str1 w5u1 %1s "HWQ: Anyone lived in HH Temporarily" _column(95 ) str1 t1m05u1 %1s "HWQ: Temp 1 Lived in HH - May 2000" _column(96 ) str1 t1m06u1 %1s "HWQ: Temp 1 Lived in HH - June 2000" _column(97 ) str1 t1m07u1 %1s "HWQ: Temp 1 Lived in HH - July 2000" _column(98 ) str1 t1m08u1 %1s "HWQ: Temp 1 Lived in HH - Aug 2000" _column(99 ) str1 t1m09u1 %1s "HWQ: Temp 1 Lived in HH - Sept 2000" _column(100 ) str1 t1m10u1 %1s "HWQ: Temp 1 Lived in HH - Oct 2000" _column(101 ) str1 t1m11u1 %1s "HWQ: Temp 1 Lived in HH - Nov 2000" _column(102 ) str1 t1m12u1 %1s "HWQ: Temp 1 Lived in HH - Dec 2000" _column(103 ) str1 t1m13u1 %1s "HWQ: Temp 1 Lived in HH - Jan 2001" _column(104 ) str1 t1m14u1 %1s "HWQ: Temp 1 Lived in HH - Feb 2001" _column(105 ) str1 t1m15u1 %1s "HWQ: Temp 1 Lived in HH - Mar 2001" _column(106 ) str1 t1m16u1 %1s "HWQ: Temp 1 Lived in HH - April 2001" _column(107 ) str1 t1m17u1 %1s "HWQ: Temp 1 Lived in HH - May 2001" _column(108 ) str1 t1m18u1 %1s "HWQ: Temp 1 Lived in HH - June 2001" _column(109 ) str1 t1m19u1 %1s "HWQ: Temp 1 Lived in HH - July 2001" _column(110 ) str1 t1sexu1 %1s "HWQ: Sex of 1st added person" _column(111 ) str2 t1rrpu1 %2s "HWQ: 1st Added Person RRP" _column(113 ) str3 t1aget1 %3s "HWQ: Age of 1st added person" _column(116 ) str1 t1mu1 %1s "HWQ: 1st Per Contrib money for HH exp" _column(117 ) str1 t2m05u1 %1s "HWQ: Temp 2 Lived in HH - May 2000" _column(118 ) str1 t2m06u1 %1s "HWQ: Temp 2 Lived in HH - June 2000" _column(119 ) str1 t2m07u1 %1s "HWQ: Temp 2 Lived in HH - July 2000" _column(120 ) str1 t2m08u1 %1s "HWQ: Temp 2 Lived in HH - Aug 2000" _column(121 ) str1 t2m09u1 %1s "HWQ: Temp 2 Lived in HH - Sept 2000" _column(122 ) str1 t2m10u1 %1s "HWQ: Temp 2 Lived in HH - Oct 2000" _column(123 ) str1 t2m11u1 %1s "HWQ: Temp 2 Lived in HH - Nov 2000" _column(124 ) str1 t2m12u1 %1s "HWQ: Temp 2 Lived in HH - Dec 2000" _column(125 ) str1 t2m13u1 %1s "HWQ: Temp 2 Lived in HH - Jan 2001" _column(126 ) str1 t2m14u1 %1s "HWQ: Temp 2 Lived in HH - Feb 2001" _column(127 ) str1 t2m15u1 %1s "HWQ: Temp 2 Lived in HH - Mar 2001" _column(128 ) str1 t2m16u1 %1s "HWQ: Temp 2 Lived in HH - April 2001" _column(129 ) str1 t2m17u1 %1s "HWQ: Temp 2 Lived in HH - May 2001" _column(130 ) str1 t2m18u1 %1s "HWQ: Temp 2 Lived in HH - June 2001" _column(131 ) str1 t2m19u1 %1s "HWQ: Temp 2 Lived in HH - July 2001" _column(132 ) str1 t2sexu1 %1s "HWQ: Sex of 2nd added person" _column(133 ) str2 t2rrpu1 %2s "HWQ: 2nd Added Person RRP" _column(135 ) str3 t2aget1 %3s "HWQ: Age of 2nd added person" _column(138 ) str1 t2mu1 %1s "HWQ: 2nd Per Contrib money for HH exp" _column(139 ) str1 t3m05u1 %1s "HWQ: Temp 3 Lived in HH - May 2000" _column(140 ) str1 t3m06u1 %1s "HWQ: Temp 3 Lived in HH - June 2000" _column(141 ) str1 t3m07u1 %1s "HWQ: Temp 3 Lived in HH - July 2000" _column(142 ) str1 t3m08u1 %1s "HWQ: Temp 3 Lived in HH - Aug 2000" _column(143 ) str1 t3m09u1 %1s "HWQ: Temp 3 Lived in HH - Sept 2000" _column(144 ) str1 t3m10u1 %1s "HWQ: Temp 3 Lived in HH - Oct 2000" _column(145 ) str1 t3m11u1 %1s "HWQ: Temp 3 Lived in HH - Nov 2000" _column(146 ) str1 t3m12u1 %1s "HWQ: Temp 3 Lived in HH - Dec 2000" _column(147 ) str1 t3m13u1 %1s "HWQ: Temp 3 Lived in HH - Jan 2001" _column(148 ) str1 t3m14u1 %1s "HWQ: Temp 3 Lived in HH - Feb 2001" _column(149 ) str1 t3m15u1 %1s "HWQ: Temp 3 Lived in HH - Mar 2001" _column(150 ) str1 t3m16u1 %1s "HWQ: Temp 3 Lived in HH - April 2001" _column(151 ) str1 t3m17u1 %1s "HWQ: Temp 3 Lived in HH - May 2001" _column(152 ) str1 t3m18u1 %1s "HWQ: Temp 3 Lived in HH - June 2001" _column(153 ) str1 t3m19u1 %1s "HWQ: Temp 3 Lived in HH - July 2001" _column(154 ) byte t3sexu1 %1f "HWQ: Sex of 3rd added person" _column(155 ) str2 t3rrpu1 %2s "HWQ: 3rd Added Person RRP" _column(157 ) str3 t3aget1 %3s "HWQ: Age of 3rd added person" _column(160 ) byte t3mu1 %1f "HWQ: 3rd Per contrib money for HH exp" _column(161 ) str1 hfodspu1 %1s "HIS: Food stamps recipient" _column(162 ) str1 hincucu1 %1s "HIS: Unemployment compensation" _column(163 ) str1 hincwcu1 %1s "HIS: Workers' compensation" _column(164 ) str1 hssynu1 %1s "HIS: Social Security payments" _column(165 ) str1 hsscynu1 %1s "HIS: Social Security pmt for children" _column(166 ) str1 hssiynu1 %1s "HIS: Supplemental Security benefits" _column(167 ) str1 hssichu1 %1s "HIS: Supplemental Security for childre" _column(168 ) str1 hcaynu1 %1s "HIS: Anyone in HH rec Cash Assistance" _column(169 ) str1 hcacynu1 %1s "HIS: Rec'd cash assist. for child in H" _column(170 ) str1 hcabthu1 %1s "HIS: Cash assistance - adult/child" _column(171 ) str1 htransu1 %1s "HIS: Welfare agency assist-transport" _column(172 ) str1 hccareu1 %1s "HIS: Welfare agency assist-child care" _column(173 ) str1 hwicu1 %1s "HIS: Welfare agency assist - WIC" _column(174 ) str1 slnchu1 %1s "HIS: Usually eat lunch at school" _column(175 ) str1 flunchu1 %1s "HIS: Recd free/reduced meals at school" _column(176 ) str1 hengasu1 %1s "HIS: Energy assist: last twelve months" _column(177 ) str1 hfostru1 %1s "HIS: Recd Foster Child Care payments" _column(178 ) str1 hvetynu1 %1s "HIS: Recd Veterans payments" _column(179 ) str1 hsurynu1 %1s "HIS: Recd Survivor benefits" _column(180 ) str1 q236au1 %1s "HIS: Phys/mental cond prevnts work" _column(181 ) str1 q236cu1 %1s "HIS: Phys/mental cond limits work" _column(182 ) str1 q238u1 %1s "HIS: Retire or perm leave job for hlth" _column(183 ) str1 hretynu1 %1s "HIS: Recd Retirement payments" _column(184 ) str1 q246u1 %1s "HIS: Owned interest bearing account" _column(185 ) str1 q247u1 %1s "HIS: Owned interest acct-investments" _column(186 ) str1 q249au1 %1s "HIS: Owned mutual fund shares" _column(187 ) str1 q249bu1 %1s "HIS: Owned shares of stock in Corps" _column(188 ) str1 q251au1 %1s "HIS: Owned rental property" _column(189 ) str1 q251bu1 %1s "HIS: Recd income from roomers/boarders" _column(190 ) str1 hroyalu1 %1s "HIS: Recd income from royalties" _column(191 ) str1 htrustu1 %1s "HIS: Recd income from estates/trusts" _column(192 ) str1 halmynu1 %1s "HIS: Recd alimony payments" _column(193 ) str1 hcspynu1 %1s "HIS: Recd child support payments" _column(194 ) str1 hfinynu1 %1s "HIS: Recd financial assist benefits" _column(195 ) str1 hngu1 %1s "HIS: Recd income from National Guard" _column(196 ) str1 hcernu1 %1s "HIS: Recd income: side business/hobby" _column(197 ) str1 hfarmu1 %1s "HIS: Recd income from a farm" _column(198 ) str1 hlumpu1 %1s "HIS: Recd a lump sum payment" _column(199 ) str1 hchru1 %1s "HIS: Recd income from charitable group" _column(200 ) str1 hoiu1 %1s "HIS: Received any other income" _column(201 ) int hownr1u1 %4f "HEL: First owner/buyer of the house" _column(205 ) int hownr2u1 %4f "HEL: Second owner/buyer of the house" _column(209 ) int hownr3u1 %4f "HEL: Third owner/buyer of the house" _column(213 ) long revalut1 %7f "HEL: Estimated house value" _column(220 ) str1 mortgau1 %1s "HEL: Any mortgages on this property" _column(221 ) str1 heqylou1 %1s "HEL: Any home equity loans on home" _column(222 ) long moramtt1 %7f "HEL: Amt of monthly mortgage payment" _column(229 ) str1 mortaxu1 %1s "HEL: Property taxes in mortgage pmt" _column(230 ) long ptxamtt1 %7f "HEL: Total amount of property taxes" _column(237 ) str1 morinsu1 %1s "HEL: Insurance premiums in mortgage" _column(238 ) long insamtt1 %7f "HEL: Annual insurance premium" _column(245 ) long heqamtt1 %7f "HEL: Monthly pmt home equity loan" _column(252 ) long renamtt1 %7f "HEL: Amount of HH monthly rent" _column(259 ) long helect1 %7f "HEL: Amt of monthly electricity bill" _column(266 ) long hheatt1 %7f "HEL: Amt of monthly gas/heating bill" _column(273 ) long hphonet1 %7f "HEL: Amt of monthly basic phone bill" _column(280 ) long hwatert1 %7f "HEL: Amt of monthly water/sewer bill" _column(287 ) str1 hhrentu1 %1s "HEL: More than one paid rent/util" _column(288 ) str4 hspyru1 %4s "HEL: Sole person pd mort/rent util" _column(292 ) str4 hj1pyru1 %4s "HEL: First joint person pd mort/util" _column(296 ) str4 hj2pyru1 %4s "HEL: Second joint person pd mort/util" _column(300 ) str4 hj3pyru1 %4s "HEL: Third joint person pd mort/util" _column(304 ) long ha1pyrt1 %7f "HEL: Amt paid by first joint payer" _column(311 ) long ha2pyrt1 %7f "HEL: Amt paid by second joint payer" _column(318 ) long ha3pyrt1 %7f "HEL: Amt paid by third joint payer" _column(325 ) str1 reothru1 %1s "HEL: Owns other real estate" _column(326 ) int reown1u1 %4f "HEL: First owner - other real estate" _column(330 ) int reown2u1 %4f "HEL: Second owner other real estate" _column(334 ) long reval2t1 %7f "HEL: Market value other real estate" _column(341 ) str1 othmoru1 %1s "HEL: Presence of other mortgages" _column(342 ) long prmor2t1 %7f "HEL: Principle on other mortgages" _column(349 ) str1 vehownu1 %1s "HEL: Anyone owns a car, van, truck" _column(350 ) str1 vehnumu1 %1s "HEL: How many cars, trucks owned" _column(351 ) str4 v1own1u1 %4s "HEL: First owner of 1st vehicle" _column(355 ) str4 v1own2u1 %4s "HEL: Second owner of 1st vehicle" _column(359 ) str4 v1yeare1 %4s "HEL: Year of 1st Vehicle" _column(363 ) long vhval1t1 %7f "HEL: Value of 1st Vehicle" _column(370 ) str1 v1frowu1 %1s "HEL: Vehicle #1 owned or buying" _column(371 ) long amowd1t1 %7f "HEL: Amount owed for 1st Vehicle" _column(378 ) str1 v1purpu1 %1s "HEL: Primary use of 1st vehicle" _column(379 ) str4 v2own1u1 %4s "HEL: First owner of 2nd vehicle" _column(383 ) str4 v2own2u1 %4s "HEL: Second owner of 2nd vehicle" _column(387 ) str4 v2yeare1 %4s "HEL: Year of 2nd Vehicle" _column(391 ) long vhval2t1 %7f "HEL: Value of 2nd Vehicle" _column(398 ) str1 v2frowu1 %1s "HEL: Vehicle #2 owned or buying" _column(399 ) long amowd2t1 %7f "HEL: Amount owed for 2nd vehicle" _column(406 ) str1 v2purpu1 %1s "HEL: Primary use of 2nd vehicle" _column(407 ) str4 v3own1u1 %4s "HEL: First owner of 3rd vehicle" _column(411 ) str4 v3own2u1 %4s "HEL: Second owner of 3rd vehicle" _column(415 ) str4 v3yeare1 %4s "HEL: Year of 3rd Vehicle" _column(419 ) long vhval3t1 %7f "HEL: Value of 3rd Vehicle" _column(426 ) str1 v3frowu1 %1s "HEL: Vehicle #3 owned or buying" _column(427 ) long amowd3t1 %7f "HEL: Amount owed for 3rd vehicle" _column(434 ) str1 v3purpu1 %1s "HEL: Primary use of 3rd vehicle" _column(435 ) str1 otrdbtu1 %1s "HEL: Presence of other debts" _column(436 ) int debow1u1 %4f "HEL: First person with other debt" _column(440 ) int debow2u1 %4f "HEL: Second person with other debt" _column(444 ) int debow3u1 %4f "HEL: Third person with other debt" _column(448 ) long debamtu1 %7f "HEL: Total other debt amount" _column(455 ) str1 chdsptu1 %1s "HEL: Anyone paid child support" _column(456 ) byte chwhou1 %1f "HEL: Who paid child support" _column(457 ) long chamtt1 %7f "HEL: Total child support paid" _column(464 ) str1 almsptu1 %1s "HEL: Alimony payments made" _column(465 ) byte alwhou1 %1f "HEL: Who paid alimony" _column(466 ) long alamtt1 %7f "HEL: Total alimony payments" _column(473 ) str1 othsptu1 %1s "HEL: Other payments - nonHH members" _column(474 ) byte otwhou1 %1f "HEL: Pay other support nonHH members" _column(475 ) str2 otnumu1 %2s "HEL: Number of others supported" _column(477 ) long ostamtt1 %7f "HEL: Amount paid for other's support" _column(484 ) int fdexr1 %4f "FE: Amount spent on food at stores" _column(488 ) int q990a1r1 %4f "First dollar amount of the range spent" _column(492 ) int q990a2r1 %4f "Second dollar amount of the range spen" _column(496 ) str1 q990abu1 %1s "FE: Period of spending" _column(497 ) int nfdr1 %4f "FE: Amt for non-food items" _column(501 ) int q991r1r1 %4f "First dollar amount of the range spent" _column(505 ) int q991r2r1 %4f "Second dollar amount of the range spen" _column(509 ) int rfdr1 %4f "FE: Amt spent for food at restaurants" _column(513 ) int q992a1r1 %4f "First dollar amount of the range spent" _column(517 ) int q992a2r1 %4f "Second dollar amount of the range spen" _column(521 ) str1 q992abu1 %1s "FE: Period of spending-snacks" _column(522 ) str1 fdsuffu1 %1s "HFS: Sufficiency of food, quant/qualit" _column(523 ) str1 fdmonyu1 %1s "HFS: Lack of money reason not enough" _column(524 ) str1 fdstoru1 %1s "HFS: Too hard to get to store reason" _column(525 ) str1 fdhlthu1 %1s "HFS: Poor health reason not enough" _column(526 ) str1 fdstovu1 %1s "HFS: No working stove reason not enoug" _column(527 ) str1 food01u1 %1s "HFS: Worried food would run out" _column(528 ) str1 food02u1 %1s "HFS: Food bought didn't last" _column(529 ) str1 food03u1 %1s "HFS: Couldn't afford balanced meals" _column(530 ) str1 food04u1 %1s "HFS: Child fed low-cost food" _column(531 ) str1 food05u1 %1s "HFS: Can't feed child balanced meals" _column(532 ) str1 food06u1 %1s "HFS: Children not eating enough" _column(533 ) str1 food07u1 %1s "HFS:Adult cut size or skipped meals" _column(534 ) str1 food08u1 %1s "HFS: How often adults skipped meals" _column(535 ) str1 food09u1 %1s "HFS: Ever ate less than should" _column(536 ) str1 food10u1 %1s "HFS: Ever hungry but didn't eat" _column(537 ) str1 food11u1 %1s "HFS: Lose weight past 12 months" _column(538 ) str1 food12u1 %1s "HFS: Adult(s) did not eat whole day" _column(539 ) str1 food13u1 %1s "HFS: Freq adults didn't eat all day" _column(540 ) str1 food14u1 %1s "HFS: Ever cut size of child's meals" _column(541 ) str1 food15u1 %1s "HFS: Child ever skipped a meal" _column(542 ) str1 food16u1 %1s "HFS: How often child skipped meals" _column(543 ) str1 food17u1 %1s "HFS: Child ever hungry past 12 months" _column(544 ) str1 food18u1 %1s "HFS: Child ever not eat for whole day" _column(545 ) str1 fdbanku1 %1s "HFS: Used food pantry or food bank" _column(546 ) str1 fdbfrqu1 %1s "HFS: How often used food panty/bank" _column(547 ) str1 fdsoupu1 %1s "HFS: Ever ate in soup kitchen" _column(548 ) byte stllivu1 %1f "DE: All persons living in HH" _column(549 ) byte newresu1 %1f "DE: New person lives here" _column(550 ) byte newureu1 %1f "DE: Has some other residence" _column(551 ) byte sex %1f "DE: Sex" _column(552 ) byte race %1f "DE: Race" _column(553 ) byte hhstate1 %1f "DE: Status in the Household" _column(554 ) byte lftmnu1 %2f "DE: Main reason left Household" _column(556 ) str1 rsnlf1u1 %1s "DE: Reason Left HH-Deceased" _column(557 ) str1 rsnlf2u1 %1s "DE: Reason Left HH- Institutionalized" _column(558 ) str1 rsnlf3u1 %1s "DE: Reason Left HH- Active duty/AF" _column(559 ) str1 rsnlf4u1 %1s "DE: Reason Left HH- outside U.S." _column(560 ) str1 rsnlf5u1 %1s "DE: Reason Left HH- Separation/divorce" _column(561 ) str1 rsnlf6u1 %1s "DE: Reason Left HH-Marriage" _column(562 ) str1 rsnlf7u1 %1s "DE: Reason Left HH- Employ/unemploy" _column(563 ) str1 rsnlf8u1 %1s "DE: Reason Left HH- Job change - other" _column(564 ) str1 rsnlf9u1 %1s "DE: Reason Left HH- Listed in error" _column(565 ) str1 rsnl10u1 %1s "DE: Reason Left HH- Other" _column(566 ) byte entmnu1 %2f "DE: Main Reason Ent HH" _column(568 ) str1 rsnen1u1 %1s "DE: Reason Ent HH-Birth" _column(569 ) str1 rsnen2u1 %1s "DE: Reason Ent HH- Marriage" _column(570 ) str1 rsnen3u1 %1s "DE: Reason Ent HH-Return to HH" _column(571 ) str1 rsnen4u1 %1s "DE: Reason Ent HH-Separation/divorce" _column(572 ) str1 rsnen5u1 %1s "DE: Reason Ent HH-From an institution" _column(573 ) str1 rsnen6u1 %1s "DE: Reason Ent HH-From AF barracks" _column(574 ) str1 rsnen7u1 %1s "DE: Reason Ent HH-From outside the U.S" _column(575 ) str1 rsnen8u1 %1s "DE: Reason Ent HH-Not listed last int" _column(576 ) str1 rsnen9u1 %1s "DE: Reason Ent HH-Employ/unemploy" _column(577 ) str1 rsne10u1 %1s "DE: Reason Ent HH-Job change" _column(578 ) str1 rsne11u1 %1s "DE: Reason Ent HH-Here before OSP" _column(579 ) str1 rsne12u1 %1s "DE: Reason Ent HH-Other" _column(580 ) byte rrpe1 %2f "DE: Relationship to Reference Person" _column(582 ) int dobyrt1 %4f "DE: Year of birth for this person" _column(586 ) int aget1 %3f "DE: Age of person" _column(589 ) byte maritle1 %1f "DE: Marital status for this person" _column(590 ) int spousee1 %4f "DE: Person number of spouse" _column(594 ) str1 evrwidu1 %1s "DE: Ever widowed" _column(595 ) str1 evrdivu1 %1s "DE: Ever divorced" _column(596 ) byte vete1 %1f "DE: Ever in armed forces" _column(597 ) str1 afwhn1u1 %1s "DE: Active duty - Aug 90 to present" _column(598 ) str1 afwhn2u1 %1s "DE: Active duty - Sept 80 to July 90" _column(599 ) str1 afwhn3u1 %1s "DE: Active duty - May 75 to Aug 80" _column(600 ) str1 afwhn4u1 %1s "DE: Active duty-Vietnam Era 8/64 - 4/7" _column(601 ) str1 afwhn5u1 %1s "DE: Active duty - All other periods" _column(602 ) byte afnowu1 %1f "DE: Currently in the armed forces" _column(603 ) str2 educau1 %2s "DE: Educational attainment" _column(605 ) str1 educbu1 %1s "DE: Completed HS by GED/equiv test" _column(606 ) str1 typmomu1 %1s "DE: Type mom:bio/step/adopt/fstr child" _column(607 ) str1 typdadu1 %1s "DE: Type dad:bio/step/adopt/fstr child" _column(608 ) str4 lnmomu1 %4s "DE: Person number of Mom" _column(612 ) str4 lndadu1 %4s "DE: Person number of Dad" _column(616 ) str1 stpdadu1 %1s "DE: Is child also dad's step child" _column(617 ) str1 stpmomu1 %1s "DE: Is child also mom's step child" _column(618 ) byte adpdadu1 %1f "DE: Is child also dad's adopted child" _column(619 ) byte adpmomu1 %1f "DE: Is child also mom's adopted child" _column(620 ) str4 lngdu1 %4s "DE: Person # with knowledge of child" _column(624 ) byte origin %2f "DE: Origin or descent" _column(626 ) int natvty %3f "DE: Country of birth" _column(629 ) byte citshpe1 %1f "DE: Citizen of US" _column(630 ) str1 natcitu1 %1s "DE: Citizen:natural /born to US citzen" _column(631 ) str4 natyru1 %4s "DE: Yr became a naturalized US citizen" _column(635 ) str1 otrlngu1 %1s "DE: Speak lang. other than English" _column(636 ) str1 whtlngu1 %1s "DE: What other language spoken" _column(637 ) str1 englisu1 %1s "DE: How well do you speak English" _column(638 ) int chdln1u1 %4f "DE: Person # of child in HH-1st child" _column(642 ) int chdln2u1 %4f "DE: Person # of child in HH-2nd child" _column(646 ) int chdln3u1 %4f "DE: Person # of child in HH-3rd Child" _column(650 ) int chdln4u1 %4f "DE: Person # of child in HH-4th Child" _column(654 ) int chdln5u1 %4f "DE: Person # of child in HH-5th Child" _column(658 ) int despare1 %4f "DE: Person #-desgnted parent of child" _column(662 ) byte famknde1 %1f "FDE: Kind of Family/subfam/HH in 01" _column(663 ) byte famnume1 %2f "FDE: Family number 01" _column(665 ) byte famtype1 %1f "FDE: Family type 01" _column(666 ) byte famrele1 %1f "FDE: Family relationship 01" _column(667 ) byte sexi %1f "DE: Imputation flag for SEX" _column(668 ) byte racei %1f "DE: Imputation flag for RACE" _column(669 ) byte rrpi1 %1f "DE: Imputation flag for RRPE1" _column(670 ) byte dobyri %1f "DE: Imputation flag for DOBYR" _column(671 ) byte agei1 %1f "DE: Imputation flag for AGET1" _column(672 ) byte maritli1 %1f "DE: Imputation flag for MARITLE1 01" _column(673 ) byte spousei1 %1f "DE: Imputation flag for SPOUSEE1 01" _column(674 ) byte veti1 %1f "DE: Imputation flag for VETE1 01" _column(675 ) byte natvtyi %1f "DE: Imputation flag for Nativity" _column(676 ) byte citshpi1 %1f "DE: Imputation flag for CITSHPE1 01" _column(677 ) byte despari1 %1f "DE: Imputation flag for DESPARE1" _column(678 ) str1 w3m05u1 %1s "PW: Away from HH - May 2000" _column(679 ) str1 w3m06u1 %1s "PW: Away from HH - Jun 2000" _column(680 ) str1 w3m07u1 %1s "PW: Away from HH - Jul 2000" _column(681 ) str1 w3m08u1 %1s "PW: Away from HH - Aug 2000" _column(682 ) str1 w3m09u1 %1s "PW: Away from HH - Sep 2000" _column(683 ) str1 w3m10u1 %1s "PW: Away from HH - Oct 2000" _column(684 ) str1 w3m11u1 %1s "PW: Away from HH - Nov 2000" _column(685 ) str1 w3m12u1 %1s "PW: Away from HH - Dec 2000" _column(686 ) str1 w3m13u1 %1s "PW: Away from HH - Jan 2001" _column(687 ) str1 w3m14u1 %1s "PW: Away from HH - Feb 2001" _column(688 ) str1 w3m15u1 %1s "PW: Away from HH - Mar 2001" _column(689 ) str1 w3m16u1 %1s "PW: Away from HH - Apr 2001" _column(690 ) str1 w3m17u1 %1s "PW: Away from HH - May 2001" _column(691 ) str1 w3m18u1 %1s "PW: Away from HH - Jun 2001" _column(692 ) str1 w3m19u1 %1s "PW: Away from HH - Jul 2001" _column(693 ) str1 w4au1 %1s "PW: Living alone/with others" _column(694 ) str1 w4bu1 %1s "PW: Living in house/aprt/grp setting" _column(695 ) str1 w4cu1 %1s "PW: Relationship to owner/renter" _column(696 ) str1 workynu1 %1s "EE: Job or business in 2000" _column(697 ) str1 wrktemu1 %1s "EE: Temp/part-time/season work in 2000" _column(698 ) str1 nlayofu1 %1s "EE: Spent time on layoff from a job-no" _column(699 ) str1 nlaydtu1 %1s "EE: Layoff return date" _column(700 ) str1 nlay6mu1 %1s "EE: Layoff return date within 6 months" _column(701 ) str2 molayu1 %2s "EE: Month laid off" _column(703 ) str4 yrlayu1 %4s "EE: Year laid off" _column(707 ) str1 q1501u1 %1s "EE: Week on layoff-week 1" _column(708 ) str1 q1502u1 %1s "EE: Week on layoff-week 2" _column(709 ) str1 q1503u1 %1s "EE: Week on layoff-week 3" _column(710 ) str1 q1504u1 %1s "EE: Week on layoff-week 4" _column(711 ) str1 q1505u1 %1s "EE: Week on layoff-week 5" _column(712 ) str1 q1506u1 %1s "EE: Week on layoff-week 6" _column(713 ) str1 q1507u1 %1s "EE: Week on layoff-week 7" _column(714 ) str1 q1508u1 %1s "EE: Week on layoff-week 8" _column(715 ) str1 q1509u1 %1s "EE: Week on layoff-week 9" _column(716 ) str1 q1510u1 %1s "EE: Week on layoff-week 10" _column(717 ) str1 q1511u1 %1s "EE: Week on layoff-week 11" _column(718 ) str1 q1512u1 %1s "EE: Week on layoff-week 12" _column(719 ) str1 q1513u1 %1s "EE: Week on layoff-week 13" _column(720 ) str1 q1514u1 %1s "EE: Week on layoff-week 14" _column(721 ) str1 q1515u1 %1s "EE: Week on layoff-week 15" _column(722 ) str1 q1516u1 %1s "EE: Week on layoff-week 16" _column(723 ) str1 q1517u1 %1s "EE: Week on layoff-week 17" _column(724 ) str1 q1518u1 %1s "EE: Week on layoff-week 18" _column(725 ) str1 q1519u1 %1s "EE: Week on layoff-week 19" _column(726 ) str1 q1520u1 %1s "EE: Week on layoff-week 20" _column(727 ) str1 q1521u1 %1s "EE: Week on layoff-week 21" _column(728 ) str1 q1522u1 %1s "EE: Week on layoff-week 22" _column(729 ) str1 q1523u1 %1s "EE: Week on layoff-week 23" _column(730 ) str1 q1524u1 %1s "EE: Week on layoff-week 24" _column(731 ) str1 q1525u1 %1s "EE: Week on layoff-week 25" _column(732 ) str1 q1526u1 %1s "EE: Week on layoff-week 26" _column(733 ) str1 q1527u1 %1s "EE: Week on layoff-week 27" _column(734 ) str1 q1528u1 %1s "EE: Week on layoff-week 28" _column(735 ) str1 q1529u1 %1s "EE: Week on layoff-week 29" _column(736 ) str1 q1530u1 %1s "EE: Week on layoff-week 30" _column(737 ) str1 q1531u1 %1s "EE: Week on layoff-week 31" _column(738 ) str1 q1532u1 %1s "EE: Week on layoff-week 32" _column(739 ) str1 q1533u1 %1s "EE: Week on layoff-week 33" _column(740 ) str1 q1534u1 %1s "EE: Week on layoff-week 34" _column(741 ) str1 q1535u1 %1s "EE: Week on layoff-week 35" _column(742 ) str1 q1536u1 %1s "EE: Week on layoff-week 36" _column(743 ) str1 q1537u1 %1s "EE: Week on layoff-week 37" _column(744 ) str1 q1538u1 %1s "EE: Week on layoff-week 38" _column(745 ) str1 q1539u1 %1s "EE: Week on layoff-week 39" _column(746 ) str1 q1540u1 %1s "EE: Week on layoff-week 40" _column(747 ) str1 q1541u1 %1s "EE: Week on layoff-week 41" _column(748 ) str1 q1542u1 %1s "EE: Week on layoff-week 42" _column(749 ) str1 q1543u1 %1s "EE: Week on layoff-week 43" _column(750 ) str1 q1544u1 %1s "EE: Week on layoff-week 44" _column(751 ) str1 q1545u1 %1s "EE: Week on layoff-week 45" _column(752 ) str1 q1546u1 %1s "EE: Week on layoff-week 46" _column(753 ) str1 q1547u1 %1s "EE: Week on layoff-week 47" _column(754 ) str1 q1548u1 %1s "EE: Week on layoff-week 48" _column(755 ) str1 q1549u1 %1s "EE: Week on layoff-week 49" _column(756 ) str1 q1550u1 %1s "EE: Week on layoff-week 50" _column(757 ) str1 q1551u1 %1s "EE: Week on layoff-week 51" _column(758 ) str1 q1552u1 %1s "EE: Week on layoff-week 52" _column(759 ) str2 q15sumu1 %2s "EE: Total weeks on layoff" _column(761 ) str1 nlkwrku1 %1s "EE: Looking for work in 2000" _column(762 ) str1 q1701u1 %1s "EE: Looking for work-week 1" _column(763 ) str1 q1702u1 %1s "EE: Looking for work-week 2" _column(764 ) str1 q1703u1 %1s "EE: Looking for work-week 3" _column(765 ) str1 q1704u1 %1s "EE: Looking for work-week 4" _column(766 ) str1 q1705u1 %1s "EE: Looking for work-week 5" _column(767 ) str1 q1706u1 %1s "EE: Looking for work-week 6" _column(768 ) str1 q1707u1 %1s "EE: Looking for work-week 7" _column(769 ) str1 q1708u1 %1s "EE: Looking for work-week 8" _column(770 ) str1 q1709u1 %1s "EE: Looking for work-week 9" _column(771 ) str1 q1710u1 %1s "EE: Looking for work-week 10" _column(772 ) str1 q1711u1 %1s "EE: Looking for work-week 11" _column(773 ) str1 q1712u1 %1s "EE: Looking for work-week 12" _column(774 ) str1 q1713u1 %1s "EE: Looking for work-week 13" _column(775 ) str1 q1714u1 %1s "EE: Looking for work-week 14" _column(776 ) str1 q1715u1 %1s "EE: Looking for work-week 15" _column(777 ) str1 q1716u1 %1s "EE: Looking for work-week 16" _column(778 ) str1 q1717u1 %1s "EE: Looking for work-week 17" _column(779 ) str1 q1718u1 %1s "EE: Looking for work-week 18" _column(780 ) str1 q1719u1 %1s "EE: Looking for work-week 19" _column(781 ) str1 q1720u1 %1s "EE: Looking for work-week 20" _column(782 ) str1 q1721u1 %1s "EE: Looking for work-week 21" _column(783 ) str1 q1722u1 %1s "EE: Looking for work-week 22" _column(784 ) str1 q1723u1 %1s "EE: Looking for work-week 23" _column(785 ) str1 q1724u1 %1s "EE: Looking for work-week 24" _column(786 ) str1 q1725u1 %1s "EE: Looking for work-week 25" _column(787 ) str1 q1726u1 %1s "EE: Looking for work-week 26" _column(788 ) str1 q1727u1 %1s "EE: Looking for work-week 27" _column(789 ) str1 q1728u1 %1s "EE: Looking for work-week 28" _column(790 ) str1 q1729u1 %1s "EE: Looking for work-week 29" _column(791 ) str1 q1730u1 %1s "EE: Looking for work-week 30" _column(792 ) str1 q1731u1 %1s "EE: Looking for work-week 31" _column(793 ) str1 q1732u1 %1s "EE: Looking for work-week 32" _column(794 ) str1 q1733u1 %1s "EE: Looking for work-week 33" _column(795 ) str1 q1734u1 %1s "EE: Looking for work-week 34" _column(796 ) str1 q1735u1 %1s "EE: Looking for work-week 35" _column(797 ) str1 q1736u1 %1s "EE: Looking for work-week 36" _column(798 ) str1 q1737u1 %1s "EE: Looking for work-week 37" _column(799 ) str1 q1738u1 %1s "EE: Looking for work-week 38" _column(800 ) str1 q1739u1 %1s "EE: Looking for work-week 39" _column(801 ) str1 q1740u1 %1s "EE: Looking for work-week 40" _column(802 ) str1 q1741u1 %1s "EE: Looking for work-week 41" _column(803 ) str1 q1742u1 %1s "EE: Looking for work-week 42" _column(804 ) str1 q1743u1 %1s "EE: Looking for work-week 43" _column(805 ) str1 q1744u1 %1s "EE: Looking for work-week 44" _column(806 ) str1 q1745u1 %1s "EE: Looking for work-week 45" _column(807 ) str1 q1746u1 %1s "EE: Looking for work-week 46" _column(808 ) str1 q1747u1 %1s "EE: Looking for work-week 47" _column(809 ) str1 q1748u1 %1s "EE: Looking for work-week 48" _column(810 ) str1 q1749u1 %1s "EE: Looking for work-week 49" _column(811 ) str1 q1750u1 %1s "EE: Looking for work-week 50" _column(812 ) str1 q1751u1 %1s "EE: Looking for work-week 51" _column(813 ) str1 q1752u1 %1s "EE: Looking for work-week 52" _column(814 ) str2 q17sumu1 %2s "EE: Total weeks looking for work" _column(816 ) str2 rsnowku1 %2s "EE: Reason for not working in 2000" _column(818 ) str1 q1901u1 %1s "EE: Working-week 1" _column(819 ) str1 q1902u1 %1s "EE: Working-week 2" _column(820 ) str1 q1903u1 %1s "EE: Working-week 3" _column(821 ) str1 q1904u1 %1s "EE: Working-week 4" _column(822 ) str1 q1905u1 %1s "EE: Working-week 5" _column(823 ) str1 q1906u1 %1s "EE: Working-week 6" _column(824 ) str1 q1907u1 %1s "EE: Working-week 7" _column(825 ) str1 q1908u1 %1s "EE: Working-week 8" _column(826 ) str1 q1909u1 %1s "EE: Working-week 9" _column(827 ) str1 q1910u1 %1s "EE: Working-week 10" _column(828 ) str1 q1911u1 %1s "EE: Working-week 11" _column(829 ) str1 q1912u1 %1s "EE: Working-week 12" _column(830 ) str1 q1913u1 %1s "EE: Working-week 13" _column(831 ) str1 q1914u1 %1s "EE: Working-week 14" _column(832 ) str1 q1915u1 %1s "EE: Working-week 15" _column(833 ) str1 q1916u1 %1s "EE: Working-week 16" _column(834 ) str1 q1917u1 %1s "EE: Working-week 17" _column(835 ) str1 q1918u1 %1s "EE: Working-week 18" _column(836 ) str1 q1919u1 %1s "EE: Working-week 19" _column(837 ) str1 q1920u1 %1s "EE: Working-week 20" _column(838 ) str1 q1921u1 %1s "EE: Working-week 21" _column(839 ) str1 q1922u1 %1s "EE: Working-week 22" _column(840 ) str1 q1923u1 %1s "EE: Working-week 23" _column(841 ) str1 q1924u1 %1s "EE: Working-week 24" _column(842 ) str1 q1925u1 %1s "EE: Working-week 25" _column(843 ) str1 q1926u1 %1s "EE: Working-week 26" _column(844 ) str1 q1927u1 %1s "EE: Working-week 27" _column(845 ) str1 q1928u1 %1s "EE: Working-week 28" _column(846 ) str1 q1929u1 %1s "EE: Working-week 29" _column(847 ) str1 q1930u1 %1s "EE: Working-week 30" _column(848 ) str1 q1931u1 %1s "EE: Working-week 31" _column(849 ) str1 q1932u1 %1s "EE: Working-week 32" _column(850 ) str1 q1933u1 %1s "EE: Working-week 33" _column(851 ) str1 q1934u1 %1s "EE: Working-week 34" _column(852 ) str1 q1935u1 %1s "EE: Working-week 35" _column(853 ) str1 q1936u1 %1s "EE: Working-week 36" _column(854 ) str1 q1937u1 %1s "EE: Working-week 37" _column(855 ) str1 q1938u1 %1s "EE: Working-week 38" _column(856 ) str1 q1939u1 %1s "EE: Working-week 39" _column(857 ) str1 q1940u1 %1s "EE: Working-week 40" _column(858 ) str1 q1941u1 %1s "EE: Working-week 41" _column(859 ) str1 q1942u1 %1s "EE: Working-week 42" _column(860 ) str1 q1943u1 %1s "EE: Working-week 43" _column(861 ) str1 q1944u1 %1s "EE: Working-week 44" _column(862 ) str1 q1945u1 %1s "EE: Working-week 45" _column(863 ) str1 q1946u1 %1s "EE: Working-week 46" _column(864 ) str1 q1947u1 %1s "EE: Working-week 47" _column(865 ) str1 q1948u1 %1s "EE: Working-week 48" _column(866 ) str1 q1949u1 %1s "EE: Working-week 49" _column(867 ) str1 q1950u1 %1s "EE: Working-week 50" _column(868 ) str1 q1951u1 %1s "EE: Working-week 51" _column(869 ) str1 q1952u1 %1s "EE: Working-week 52" _column(870 ) str2 q19sumu1 %2s "EE: Total weeks working" _column(872 ) str1 pdlveu1 %1s "EE: Weeks with paid vaca or sick leave" _column(873 ) str1 q2101u1 %1s "EE: Vacation/paid sick leave-week 1" _column(874 ) str1 q2102u1 %1s "EE: Vacation/paid sick leave-week 2" _column(875 ) str1 q2103u1 %1s "EE: Vacation/paid sick leave-week 3" _column(876 ) str1 q2104u1 %1s "EE: Vacation/paid sick leave-week 4" _column(877 ) str1 q2105u1 %1s "EE: Vacation/paid sick leave-week 5" _column(878 ) str1 q2106u1 %1s "EE: Vacation/paid sick leave-week 6" _column(879 ) str1 q2107u1 %1s "EE: Vacation/paid sick leave-week 7" _column(880 ) str1 q2108u1 %1s "EE: Vacation/paid sick leave-week 8" _column(881 ) str1 q2109u1 %1s "EE: Vacation/paid sick leave-week 9" _column(882 ) str1 q2110u1 %1s "EE: Vacation/paid sick leave-week 10" _column(883 ) str1 q2111u1 %1s "EE: Vacation/paid sick leave-week 11" _column(884 ) str1 q2112u1 %1s "EE: Vacation/paid sick leave-week 12" _column(885 ) str1 q2113u1 %1s "EE: Vacation/paid sick leave-week 13" _column(886 ) str1 q2114u1 %1s "EE: Vacation/paid sick leave-week 14" _column(887 ) str1 q2115u1 %1s "EE: Vacation/paid sick leave-week 15" _column(888 ) str1 q2116u1 %1s "EE: Vacation/paid sick leave-week 16" _column(889 ) str1 q2117u1 %1s "EE: Vacation/paid sick leave-week 17" _column(890 ) str1 q2118u1 %1s "EE: Vacation/paid sick leave-week 18" _column(891 ) str1 q2119u1 %1s "EE: Vacation/paid sick leave-week 19" _column(892 ) str1 q2120u1 %1s "EE: Vacation/paid sick leave-week 20" _column(893 ) str1 q2121u1 %1s "EE: Vacation/paid sick leave-week 21" _column(894 ) str1 q2122u1 %1s "EE: Vacation/paid sick leave-week 22" _column(895 ) str1 q2123u1 %1s "EE: Vacation/paid sick leave-week 23" _column(896 ) str1 q2124u1 %1s "EE: Vacation/paid sick leave-week 24" _column(897 ) str1 q2125u1 %1s "EE: Vacation/paid sick leave-week 25" _column(898 ) str1 q2126u1 %1s "EE: Vacation/paid sick leave-week 26" _column(899 ) str1 q2127u1 %1s "EE: Vacation/paid sick leave-week 27" _column(900 ) str1 q2128u1 %1s "EE: Vacation/paid sick leave-week 28" _column(901 ) str1 q2129u1 %1s "EE: Vacation/paid sick leave-week 29" _column(902 ) str1 q2130u1 %1s "EE: Vacation/paid sick leave-week 30" _column(903 ) str1 q2131u1 %1s "EE: Vacation/paid sick leave-week 31" _column(904 ) str1 q2132u1 %1s "EE: Vacation/paid sick leave-week 32" _column(905 ) str1 q2133u1 %1s "EE: Vacation/paid sick leave-week 33" _column(906 ) str1 q2134u1 %1s "EE: Vacation/paid sick leave-week 34" _column(907 ) str1 q2135u1 %1s "EE: Vacation/paid sick leave-week 35" _column(908 ) str1 q2136u1 %1s "EE: Vacation/paid sick leave-week 36" _column(909 ) str1 q2137u1 %1s "EE: Vacation/paid sick leave-week 37" _column(910 ) str1 q2138u1 %1s "EE: Vacation/paid sick leave-week 38" _column(911 ) str1 q2139u1 %1s "EE: Vacation/paid sick leave-week 39" _column(912 ) str1 q2140u1 %1s "EE: Vacation/paid sick leave-week 40" _column(913 ) str1 q2141u1 %1s "EE: Vacation/paid sick leave-week 41" _column(914 ) str1 q2142u1 %1s "EE: Vacation/paid sick leave-week 42" _column(915 ) str1 q2143u1 %1s "EE: Vacation/paid sick leave-week 43" _column(916 ) str1 q2144u1 %1s "EE: Vacation/paid sick leave-week 44" _column(917 ) str1 q2145u1 %1s "EE: Vacation/paid sick leave-week 45" _column(918 ) str1 q2146u1 %1s "EE: Vacation/paid sick leave-week 46" _column(919 ) str1 q2147u1 %1s "EE: Vacation/paid sick leave-week 47" _column(920 ) str1 q2148u1 %1s "EE: Vacation/paid sick leave-week 48" _column(921 ) str1 q2149u1 %1s "EE: Vacation/paid sick leave-week 49" _column(922 ) str1 q2150u1 %1s "EE: Vacation/paid sick leave-week 50" _column(923 ) str1 q2151u1 %1s "EE: Vacation/paid sick leave-week 51" _column(924 ) str1 q2152u1 %1s "EE: Vacation/paid sick leave-week 52" _column(925 ) str2 q21sumu1 %2s "EE: Total weeks vaca/paid sick leave" _column(927 ) str1 ylayofu1 %1s "EE: Spent time on layoff from a job-wo" _column(928 ) str1 ylaydtu1 %1s "EE: Layoff return date" _column(929 ) str1 ylay6mu1 %1s "EE: Layoff return date within 6 months" _column(930 ) str1 q2501u1 %1s "EE: Week on layoff-week 1" _column(931 ) str1 q2502u1 %1s "EE: Week on layoff-week 2" _column(932 ) str1 q2503u1 %1s "EE: Week on layoff-week 3" _column(933 ) str1 q2504u1 %1s "EE: Week on layoff-week 4" _column(934 ) str1 q2505u1 %1s "EE: Week on layoff-week 5" _column(935 ) str1 q2506u1 %1s "EE: Week on layoff-week 6" _column(936 ) str1 q2507u1 %1s "EE: Week on layoff-week 7" _column(937 ) str1 q2508u1 %1s "EE: Week on layoff-week 8" _column(938 ) str1 q2509u1 %1s "EE: Week on layoff-week 9" _column(939 ) str1 q2510u1 %1s "EE: Week on layoff-week 10" _column(940 ) str1 q2511u1 %1s "EE: Week on layoff-week 11" _column(941 ) str1 q2512u1 %1s "EE: Week on layoff-week 12" _column(942 ) str1 q2513u1 %1s "EE: Week on layoff-week 13" _column(943 ) str1 q2514u1 %1s "EE: Week on layoff-week 14" _column(944 ) str1 q2515u1 %1s "EE: Week on layoff-week 15" _column(945 ) str1 q2516u1 %1s "EE: Week on layoff-week 16" _column(946 ) str1 q2517u1 %1s "EE: Week on layoff-week 17" _column(947 ) str1 q2518u1 %1s "EE: Week on layoff-week 18" _column(948 ) str1 q2519u1 %1s "EE: Week on layoff-week 19" _column(949 ) str1 q2520u1 %1s "EE: Week on layoff-week 20" _column(950 ) str1 q2521u1 %1s "EE: Week on layoff-week 21" _column(951 ) str1 q2522u1 %1s "EE: Week on layoff-week 22" _column(952 ) str1 q2523u1 %1s "EE: Week on layoff-week 23" _column(953 ) str1 q2524u1 %1s "EE: Week on layoff-week 24" _column(954 ) str1 q2525u1 %1s "EE: Week on layoff-week 25" _column(955 ) str1 q2526u1 %1s "EE: Week on layoff-week 26" _column(956 ) str1 q2527u1 %1s "EE: Week on layoff-week 27" _column(957 ) str1 q2528u1 %1s "EE: Week on layoff-week 28" _column(958 ) str1 q2529u1 %1s "EE: Week on layoff-week 29" _column(959 ) str1 q2530u1 %1s "EE: Week on layoff-week 30" _column(960 ) str1 q2531u1 %1s "EE: Week on layoff-week 31" _column(961 ) str1 q2532u1 %1s "EE: Week on layoff-week 32" _column(962 ) str1 q2533u1 %1s "EE: Week on layoff-week 33" _column(963 ) str1 q2534u1 %1s "EE: Week on layoff-week 34" _column(964 ) str1 q2535u1 %1s "EE: Week on layoff-week 35" _column(965 ) str1 q2536u1 %1s "EE: Week on layoff-week 36" _column(966 ) str1 q2537u1 %1s "EE: Week on layoff-week 37" _column(967 ) str1 q2538u1 %1s "EE: Week on layoff-week 38" _column(968 ) str1 q2539u1 %1s "EE: Week on layoff-week 39" _column(969 ) str1 q2540u1 %1s "EE: Week on layoff-week 40" _column(970 ) str1 q2541u1 %1s "EE: Week on layoff-week 41" _column(971 ) str1 q2542u1 %1s "EE: Week on layoff-week 42" _column(972 ) str1 q2543u1 %1s "EE: Week on layoff-week 43" _column(973 ) str1 q2544u1 %1s "EE: Week on layoff-week 44" _column(974 ) str1 q2545u1 %1s "EE: Week on layoff-week 45" _column(975 ) str1 q2546u1 %1s "EE: Week on layoff-week 46" _column(976 ) str1 q2547u1 %1s "EE: Week on layoff-week 47" _column(977 ) str1 q2548u1 %1s "EE: Week on layoff-week 48" _column(978 ) str1 q2549u1 %1s "EE: Week on layoff-week 49" _column(979 ) str1 q2550u1 %1s "EE: Week on layoff-week 50" _column(980 ) str1 q2551u1 %1s "EE: Week on layoff-week 51" _column(981 ) str1 q2552u1 %1s "EE: Week on layoff-week 52" _column(982 ) str2 q25sumu1 %2s "EE: Total weeks on layoff" _column(984 ) str1 ylkwrku1 %1s "EE: Time spent looking for work" _column(985 ) str1 q2701u1 %1s "EE: Looking for work-week 1" _column(986 ) str1 q2702u1 %1s "EE: Looking for work-week 2" _column(987 ) str1 q2703u1 %1s "EE: Looking for work-week 3" _column(988 ) str1 q2704u1 %1s "EE: Looking for work-week 4" _column(989 ) str1 q2705u1 %1s "EE: Looking for work-week 5" _column(990 ) str1 q2706u1 %1s "EE: Looking for work-week 6" _column(991 ) str1 q2707u1 %1s "EE: Looking for work-week 7" _column(992 ) str1 q2708u1 %1s "EE: Looking for work-week 8" _column(993 ) str1 q2709u1 %1s "EE: Looking for work-week 9" _column(994 ) str1 q2710u1 %1s "EE: Looking for work-week 10" _column(995 ) str1 q2711u1 %1s "EE: Looking for work-week 11" _column(996 ) str1 q2712u1 %1s "EE: Looking for work-week 12" _column(997 ) str1 q2713u1 %1s "EE: Looking for work-week 13" _column(998 ) str1 q2714u1 %1s "EE: Looking for work-week 14" _column(999 ) str1 q2715u1 %1s "EE: Looking for work-week 15" _column(1000) str1 q2716u1 %1s "EE: Looking for work-week 16" _column(1001) str1 q2717u1 %1s "EE: Looking for work-week 17" _column(1002) str1 q2718u1 %1s "EE: Looking for work-week 18" _column(1003) str1 q2719u1 %1s "EE: Looking for work-week 19" _column(1004) str1 q2720u1 %1s "EE: Looking for work-week 20" _column(1005) str1 q2721u1 %1s "EE: Looking for work-week 21" _column(1006) str1 q2722u1 %1s "EE: Looking for work-week 22" _column(1007) str1 q2723u1 %1s "EE: Looking for work-week 23" _column(1008) str1 q2724u1 %1s "EE: Looking for work-week 24" _column(1009) str1 q2725u1 %1s "EE: Looking for work-week 25" _column(1010) str1 q2726u1 %1s "EE: Looking for work-week 26" _column(1011) str1 q2727u1 %1s "EE: Looking for work-week 27" _column(1012) str1 q2728u1 %1s "EE: Looking for work-week 28" _column(1013) str1 q2729u1 %1s "EE: Looking for work-week 29" _column(1014) str1 q2730u1 %1s "EE: Looking for work-week 30" _column(1015) str1 q2731u1 %1s "EE: Looking for work-week 31" _column(1016) str1 q2732u1 %1s "EE: Looking for work-week 32" _column(1017) str1 q2733u1 %1s "EE: Looking for work-week 33" _column(1018) str1 q2734u1 %1s "EE: Looking for work-week 34" _column(1019) str1 q2735u1 %1s "EE: Looking for work-week 35" _column(1020) str1 q2736u1 %1s "EE: Looking for work-week 36" _column(1021) str1 q2737u1 %1s "EE: Looking for work-week 37" _column(1022) str1 q2738u1 %1s "EE: Looking for work-week 38" _column(1023) str1 q2739u1 %1s "EE: Looking for work-week 39" _column(1024) str1 q2740u1 %1s "EE: Looking for work-week 40" _column(1025) str1 q2741u1 %1s "EE: Looking for work-week 41" _column(1026) str1 q2742u1 %1s "EE: Looking for work-week 42" _column(1027) str1 q2743u1 %1s "EE: Looking for work-week 43" _column(1028) str1 q2744u1 %1s "EE: Looking for work-week 44" _column(1029) str1 q2745u1 %1s "EE: Looking for work-week 45" _column(1030) str1 q2746u1 %1s "EE: Looking for work-week 46" _column(1031) str1 q2747u1 %1s "EE: Looking for work-week 47" _column(1032) str1 q2748u1 %1s "EE: Looking for work-week 48" _column(1033) str1 q2749u1 %1s "EE: Looking for work-week 49" _column(1034) str1 q2750u1 %1s "EE: Looking for work-week 50" _column(1035) str1 q2751u1 %1s "EE: Looking for work-week 51" _column(1036) str1 q2752u1 %1s "EE: Looking for work-week 52" _column(1037) str2 rsn52u1 %2s "EE: Reason for wrk LT 52 wks" _column(1039) str1 numempu1 %1s "EE: Number of employers in 2000" _column(1040) str2 whrswku1 %2s "EE: Usual hours worked per week" _column(1042) str1 whr35u1 %1s "EE: Worked 35 hours or more per week" _column(1043) str1 j1wk1u1 %1s "EE: Job 1-week 1" _column(1044) str1 j1wk2u1 %1s "EE: Job 1-week 2" _column(1045) str1 j1wk3u1 %1s "EE: Job 1-week 3" _column(1046) str1 j1wk4u1 %1s "EE: Job 1-week 4" _column(1047) str1 j1wk5u1 %1s "EE: Job 1-week 5" _column(1048) str1 j1wk6u1 %1s "EE: Job 1-week 6" _column(1049) str1 j1wk7u1 %1s "EE: Job 1-week 7" _column(1050) str1 j1wk8u1 %1s "EE: Job 1-week 8" _column(1051) str1 j1wk9u1 %1s "EE: Job 1-week 9" _column(1052) str1 j1wk10u1 %1s "EE: Job 1-week 10" _column(1053) str1 j1wk11u1 %1s "EE: Job 1-week 11" _column(1054) str1 j1wk12u1 %1s "EE: Job 1-week 12" _column(1055) str1 j1wk13u1 %1s "EE: Job 1-week 13" _column(1056) str1 j1wk14u1 %1s "EE: Job 1-week 14" _column(1057) str1 j1wk15u1 %1s "EE: Job 1-week 15" _column(1058) str1 j1wk16u1 %1s "EE: Job 1-week 16" _column(1059) str1 j1wk17u1 %1s "EE: Job 1-week 17" _column(1060) str1 j1wk18u1 %1s "EE: Job 1-week 18" _column(1061) str1 j1wk19u1 %1s "EE: Job 1-week 19" _column(1062) str1 j1wk20u1 %1s "EE: Job 1-week 20" _column(1063) str1 j1wk21u1 %1s "EE: Job 1-week 21" _column(1064) str1 j1wk22u1 %1s "EE: Job 1-week 22" _column(1065) str1 j1wk23u1 %1s "EE: Job 1-week 23" _column(1066) str1 j1wk24u1 %1s "EE: Job 1-week 24" _column(1067) str1 j1wk25u1 %1s "EE: Job 1-week 25" _column(1068) str1 j1wk26u1 %1s "EE: Job 1-week 26" _column(1069) str1 j1wk27u1 %1s "EE: Job 1-week 27" _column(1070) str1 j1wk28u1 %1s "EE: Job 1-week 28" _column(1071) str1 j1wk29u1 %1s "EE: Job 1-week 29" _column(1072) str1 j1wk30u1 %1s "EE: Job 1-week 30" _column(1073) str1 j1wk31u1 %1s "EE: Job 1-week 31" _column(1074) str1 j1wk32u1 %1s "EE: Job 1-week 32" _column(1075) str1 j1wk33u1 %1s "EE: Job 1-week 33" _column(1076) str1 j1wk34u1 %1s "EE: Job 1-week 34" _column(1077) str1 j1wk35u1 %1s "EE: Job 1-week 35" _column(1078) str1 j1wk36u1 %1s "EE: Job 1-week 36" _column(1079) str1 j1wk37u1 %1s "EE: Job 1-week 37" _column(1080) str1 j1wk38u1 %1s "EE: Job 1-week 38" _column(1081) str1 j1wk39u1 %1s "EE: Job 1-week 39" _column(1082) str1 j1wk40u1 %1s "EE: Job 1-week 40" _column(1083) str1 j1wk41u1 %1s "EE: Job 1-week 41" _column(1084) str1 j1wk42u1 %1s "EE: Job 1-week 42" _column(1085) str1 j1wk43u1 %1s "EE: Job 1-week 43" _column(1086) str1 j1wk44u1 %1s "EE: Job 1-week 44" _column(1087) str1 j1wk45u1 %1s "EE: Job 1-week 45" _column(1088) str1 j1wk46u1 %1s "EE: Job 1-week 46" _column(1089) str1 j1wk47u1 %1s "EE: Job 1-week 47" _column(1090) str1 j1wk48u1 %1s "EE: Job 1-week 48" _column(1091) str1 j1wk49u1 %1s "EE: Job 1-week 49" _column(1092) str1 j1wk50u1 %1s "EE: Job 1-week 50" _column(1093) str1 j1wk51u1 %1s "EE: Job 1-week 51" _column(1094) str1 j1wk52u1 %1s "EE: Job 1-week 52" _column(1095) str2 j132suu1 %2s "EE: Total number of weeks worked job 1" _column(1097) str2 hrswk1u1 %2s "EE: Usual hours worked per week-job 1" _column(1099) str1 hr35e1u1 %1s "EE: Work 35+ hours per week-job 1" _column(1100) str1 clwrk1u1 %1s "EE: Class of worker-job 1" _column(1101) str1 kindg1u1 %1s "EE: Kind of govt - job 1" _column(1102) str1 srce1r1 %1s "EE: Source of wages-job 1" _column(1103) str1 fmwrk1u1 %1s "EE: Paid family bus/farm-job 1" _column(1104) str1 fminc1u1 %1s "EE: Family busi/farm incorp-job 1" _column(1105) str2 mbjob1u1 %2s "EE: Month started-job 1" _column(1107) str4 ybjob1u1 %4s "EE: Year started-job 1" _column(1111) str2 rslft1u1 %2s "EE: Main reason left job - job 1" _column(1113) str1 lftub1u1 %1s "EE: Apply for unemploy benefits-job 1" _column(1114) int j1indr1 %3f "EE: Industry code - job 1" _column(1117) byte se1indr1 %2f "EE: Self employed industry code - job " _column(1119) int j1occr1 %3f "EE: Occupation class. code-job 1" _column(1122) str1 empsz1r1 %1s "EE: # Employees all locations - job 1" _column(1123) byte j1q49u1 %1f "EE: Records used by respondent" _column(1124) long ern1t1 %7f "EE: Earnings from employment - job 1" _column(1131) str1 repln1u1 %1s "EE: Emplyr pen./retirement plan - job " _column(1132) str1 reprt1u1 %1s "EE: Participate pen/retire plan - job " _column(1133) str1 hipln1u1 %1s "EE: Eligible hlth cov via emp- job 1" _column(1134) str1 hiprt1u1 %1s "EE: Participation in hlth insur - job " _column(1135) str1 pvdy1u1 %1s "EE: Paid Vacation Days- job 1" _column(1136) str2 pvdys1u1 %2s "EE: Number paid vacation days - job 1" _column(1138) str1 pdsl1u1 %1s "EE: Paid sick leave for job 1" _column(1139) str2 pdysl1u1 %2s "EE: Paid sick leave days- job 1" _column(1141) str1 tuitn1u1 %1s "EE: Paid tuition - job 1" _column(1142) str1 j2wk1u1 %1s "EE: Job 2-week 1" _column(1143) str1 j2wk2u1 %1s "EE: Job 2-week 2" _column(1144) str1 j2wk3u1 %1s "EE: Job 2-week 3" _column(1145) str1 j2wk4u1 %1s "EE: Job 2-week 4" _column(1146) str1 j2wk5u1 %1s "EE: Job 2-week 5" _column(1147) str1 j2wk6u1 %1s "EE: Job 2-week 6" _column(1148) str1 j2wk7u1 %1s "EE: Job 2-week 7" _column(1149) str1 j2wk8u1 %1s "EE: Job 2-week 8" _column(1150) str1 j2wk9u1 %1s "EE: Job 2-week 9" _column(1151) str1 j2wk10u1 %1s "EE: Job 2-week 10" _column(1152) str1 j2wk11u1 %1s "EE: Job 2-week 11" _column(1153) str1 j2wk12u1 %1s "EE: Job 2-week 12" _column(1154) str1 j2wk13u1 %1s "EE: Job 2-week 13" _column(1155) str1 j2wk14u1 %1s "EE: Job 2-week 14" _column(1156) str1 j2wk15u1 %1s "EE: Job 2-week 15" _column(1157) str1 j2wk16u1 %1s "EE: Job 2-week 16" _column(1158) str1 j2wk17u1 %1s "EE: Job 2-week 17" _column(1159) str1 j2wk18u1 %1s "EE: Job 2-week 18" _column(1160) str1 j2wk19u1 %1s "EE: Job 2-week 19" _column(1161) str1 j2wk20u1 %1s "EE: Job 2-week 20" _column(1162) str1 j2wk21u1 %1s "EE: Job 2-week 21" _column(1163) str1 j2wk22u1 %1s "EE: Job 2-week 22" _column(1164) str1 j2wk23u1 %1s "EE: Job 2-week 23" _column(1165) str1 j2wk24u1 %1s "EE: Job 2-week 24" _column(1166) str1 j2wk25u1 %1s "EE: Job 2-week 25" _column(1167) str1 j2wk26u1 %1s "EE: Job 2-week 26" _column(1168) str1 j2wk27u1 %1s "EE: Job 2-week 27" _column(1169) str1 j2wk28u1 %1s "EE: Job 2-week 28" _column(1170) str1 j2wk29u1 %1s "EE: Job 2-week 29" _column(1171) str1 j2wk30u1 %1s "EE: Job 2-week 30" _column(1172) str1 j2wk31u1 %1s "EE: Job 2-week 31" _column(1173) str1 j2wk32u1 %1s "EE: Job 2-week 32" _column(1174) str1 j2wk33u1 %1s "EE: Job 2-week 33" _column(1175) str1 j2wk34u1 %1s "EE: Job 2-week 34" _column(1176) str1 j2wk35u1 %1s "EE: Job 2-week 35" _column(1177) str1 j2wk36u1 %1s "EE: Job 2-week 36" _column(1178) str1 j2wk37u1 %1s "EE: Job 2-week 37" _column(1179) str1 j2wk38u1 %1s "EE: Job 2-week 38" _column(1180) str1 j2wk39u1 %1s "EE: Job 2-week 39" _column(1181) str1 j2wk40u1 %1s "EE: Job 2-week 40" _column(1182) str1 j2wk41u1 %1s "EE: Job 2-week 41" _column(1183) str1 j2wk42u1 %1s "EE: Job 2-week 42" _column(1184) str1 j2wk43u1 %1s "EE: Job 2-week 43" _column(1185) str1 j2wk44u1 %1s "EE: Job 2-week 44" _column(1186) str1 j2wk45u1 %1s "EE: Job 2-week 45" _column(1187) str1 j2wk46u1 %1s "EE: Job 2-week 46" _column(1188) str1 j2wk47u1 %1s "EE: Job 2-week 47" _column(1189) str1 j2wk48u1 %1s "EE: Job 2-week 48" _column(1190) str1 j2wk49u1 %1s "EE: Job 2-week 49" _column(1191) str1 j2wk50u1 %1s "EE: Job 2-week 50" _column(1192) str1 j2wk51u1 %1s "EE: Job 2-week 51" _column(1193) str1 j2wk52u1 %1s "EE: Job 2-week 52" _column(1194) str2 j232suu1 %2s "EE: # of weeks worked job 2" _column(1196) str2 hrswk2u1 %2s "EE: Usual hours worked per week-job 2" _column(1198) str1 hr35e2u1 %1s "EE: Work 35+ hours per week-job 2" _column(1199) str1 clwrk2u1 %1s "EE: Class of worker-job 2" _column(1200) str1 kindg2u1 %1s "EE: Kind of govt - job 2" _column(1201) str1 srce2r1 %1s "EE: Source of wages-job 2" _column(1202) str1 fmwrk2u1 %1s "EE: Paid family bus/farm-job 2" _column(1203) str1 fminc2u1 %1s "EE: Family busi/farm incorp-job 2" _column(1204) str2 mbjob2u1 %2s "EE: Month started-job 2" _column(1206) str4 ybjob2u1 %4s "EE: Year started-job 2" _column(1210) str2 rslft2u1 %2s "EE: Main reason left job - job 2" _column(1212) str1 lftub2u1 %1s "EE: Apply for unemploy benefits-job 2" _column(1213) int j2indr1 %3f "EE: Industry code - job 2" _column(1216) byte se2indr1 %2f "EE: Self employed industry code - job " _column(1218) int j2occr1 %3f "EE: Occupation class. code-job 2" _column(1221) str1 empsz2r1 %1s "EE: # Employees all locations - job 2" _column(1222) long ern2t1 %7f "EE: Earnings from employment - job 2" _column(1229) str1 repln2u1 %1s "EE: Emplyer pen./retirement plan- job " _column(1230) str1 reprt2u1 %1s "EE: Participate pen/retire plan - job " _column(1231) str1 hipln2u1 %1s "EE: Eligible hlth cov via emp - job 2" _column(1232) str1 hiprt2u1 %1s "EE: Participation in hlth insur - job " _column(1233) str1 pvdy2u1 %1s "EE: Paid Vacation Days- job 2" _column(1234) str2 pvdys2u1 %2s "EE: Number paid vacation days - job 2" _column(1236) str1 pdsl2u1 %1s "EE: Paid sick leave for job 2" _column(1237) str2 pdysl2u1 %2s "EE: Paid sick leave days- job 2" _column(1239) str1 tuitn2u1 %1s "EE: Paid tuition - job 2" _column(1240) str1 j3wk1u1 %1s "EE: Job 3-week 1" _column(1241) str1 j3wk2u1 %1s "EE: Job 3-week 2" _column(1242) str1 j3wk3u1 %1s "EE: Job 3-week 3" _column(1243) str1 j3wk4u1 %1s "EE: Job 3-week 4" _column(1244) str1 j3wk5u1 %1s "EE: Job 3-week 5" _column(1245) str1 j3wk6u1 %1s "EE: Job 3-week 6" _column(1246) str1 j3wk7u1 %1s "EE: Job 3-week 7" _column(1247) str1 j3wk8u1 %1s "EE: Job 3-week 8" _column(1248) str1 j3wk9u1 %1s "EE: Job 3-week 9" _column(1249) str1 j3wk10u1 %1s "EE: Job 3-week 10" _column(1250) str1 j3wk11u1 %1s "EE: Job 3-week 11" _column(1251) str1 j3wk12u1 %1s "EE: Job 3-week 12" _column(1252) str1 j3wk13u1 %1s "EE: Job 3-week 13" _column(1253) str1 j3wk14u1 %1s "EE: Job 3-week 14" _column(1254) str1 j3wk15u1 %1s "EE: Job 3-week 15" _column(1255) str1 j3wk16u1 %1s "EE: Job 3-week 16" _column(1256) str1 j3wk17u1 %1s "EE: Job 3-week 17" _column(1257) str1 j3wk18u1 %1s "EE: Job 3-week 18" _column(1258) str1 j3wk19u1 %1s "EE: Job 3-week 19" _column(1259) str1 j3wk20u1 %1s "EE: Job 3-week 20" _column(1260) str1 j3wk21u1 %1s "EE: Job 3-week 21" _column(1261) str1 j3wk22u1 %1s "EE: Job 3-week 22" _column(1262) str1 j3wk23u1 %1s "EE: Job 3-week 23" _column(1263) str1 j3wk24u1 %1s "EE: Job 3-week 24" _column(1264) str1 j3wk25u1 %1s "EE: Job 3-week 25" _column(1265) str1 j3wk26u1 %1s "EE: Job 3-week 26" _column(1266) str1 j3wk27u1 %1s "EE: Job 3-week 27" _column(1267) str1 j3wk28u1 %1s "EE: Job 3-week 28" _column(1268) str1 j3wk29u1 %1s "EE: Job 3-week 29" _column(1269) str1 j3wk30u1 %1s "EE: Job 3-week 30" _column(1270) str1 j3wk31u1 %1s "EE: Job 3-week 31" _column(1271) str1 j3wk32u1 %1s "EE: Job 3-week 32" _column(1272) str1 j3wk33u1 %1s "EE: Job 3-week 33" _column(1273) str1 j3wk34u1 %1s "EE: Job 3-week 34" _column(1274) str1 j3wk35u1 %1s "EE: Job 3-week 35" _column(1275) str1 j3wk36u1 %1s "EE: Job 3-week 36" _column(1276) str1 j3wk37u1 %1s "EE: Job 3-week 37" _column(1277) str1 j3wk38u1 %1s "EE: Job 3-week 38" _column(1278) str1 j3wk39u1 %1s "EE: Job 3-week 39" _column(1279) str1 j3wk40u1 %1s "EE: Job 3-week 40" _column(1280) str1 j3wk41u1 %1s "EE: Job 3-week 41" _column(1281) str1 j3wk42u1 %1s "EE: Job 3-week 42" _column(1282) str1 j3wk43u1 %1s "EE: Job 3-week 43" _column(1283) str1 j3wk44u1 %1s "EE: Job 3-week 44" _column(1284) str1 j3wk45u1 %1s "EE: Job 3-week 45" _column(1285) str1 j3wk46u1 %1s "EE: Job 3-week 46" _column(1286) str1 j3wk47u1 %1s "EE: Job 3-week 47" _column(1287) str1 j3wk48u1 %1s "EE: Job 3-week 48" _column(1288) str1 j3wk49u1 %1s "EE: Job 3-week 49" _column(1289) str1 j3wk50u1 %1s "EE: Job 3-week 50" _column(1290) str1 j3wk51u1 %1s "EE: Job 3-week 51" _column(1291) str1 j3wk52u1 %1s "EE: Job 3-week 52" _column(1292) str2 j332suu1 %2s "EE: # of weeks worked job 3" _column(1294) str2 hrswk3u1 %2s "EE: Usual hours worked per week-job 3" _column(1296) str1 hr35e3u1 %1s "EE: Work 35+ hours per week-job 3" _column(1297) str1 clwrk3u1 %1s "EE: Class of worker-job 3" _column(1298) str1 kindg3u1 %1s "EE: Kind of govt - job 3" _column(1299) str1 srce3r1 %1s "EE: Source of wages-job 3" _column(1300) str1 fmwrk3u1 %1s "EE: Paid family bus/farm-job 3" _column(1301) str1 fminc3u1 %1s "EE: Family busi/farm incorp-job 3" _column(1302) str2 mbjob3u1 %2s "EE: Month started-job 3" _column(1304) str4 ybjob3u1 %4s "EE: Year started-job 3" _column(1308) str2 rslft3u1 %2s "EE: Main reason left job - job 3" _column(1310) str1 lftub3u1 %1s "EE: Apply for unemploy benefits-job 3" _column(1311) int j3indr1 %3f "EE: Industry code - job 3" _column(1314) byte se3indr1 %2f "EE: Self employed industry code - job " _column(1316) int j3occr1 %3f "EE: Occupation class. code-job 3" _column(1319) str1 empsz3r1 %1s "EE: # Employees all locations - job 3" _column(1320) long ern3t1 %7f "EE: Earnings from employment - job 3" _column(1327) str1 repln3u1 %1s "EE: Emplyer pen./retirement plan- job " _column(1328) str1 reprt3u1 %1s "EE: Participate pen/retire plan - job " _column(1329) str1 hipln3u1 %1s "EE: Eligible hlth cov via emp - job 3" _column(1330) str1 hiprt3u1 %1s "EE: Participation in hlth insur - job " _column(1331) str1 pvdy3u1 %1s "EE: Paid Vacation Days- job 3" _column(1332) str2 pvdys3u1 %2s "EE: Number paid vacation days - job 3" _column(1334) str1 pdsl3u1 %1s "EE: Paid sick leave for job 3" _column(1335) str2 pdysl3u1 %2s "EE: Paid sick leave days- job 3" _column(1337) str1 tuitn3u1 %1s "EE: Paid tuition - job 3" _column(1338) str1 j4wk1u1 %1s "EE: Job 4-week 1" _column(1339) str1 j4wk2u1 %1s "EE: Job 4-week 2" _column(1340) str1 j4wk3u1 %1s "EE: Job 4-week 3" _column(1341) str1 j4wk4u1 %1s "EE: Job 4-week 4" _column(1342) str1 j4wk5u1 %1s "EE: Job 4-week 5" _column(1343) str1 j4wk6u1 %1s "EE: Job 4-week 6" _column(1344) str1 j4wk7u1 %1s "EE: Job 4-week 7" _column(1345) str1 j4wk8u1 %1s "EE: Job 4-week 8" _column(1346) str1 j4wk9u1 %1s "EE: Job 4-week 9" _column(1347) str1 j4wk10u1 %1s "EE: Job 4-week 10" _column(1348) str1 j4wk11u1 %1s "EE: Job 4-week 11" _column(1349) str1 j4wk12u1 %1s "EE: Job 4-week 12" _column(1350) str1 j4wk13u1 %1s "EE: Job 4-week 13" _column(1351) str1 j4wk14u1 %1s "EE: Job 4-week 14" _column(1352) str1 j4wk15u1 %1s "EE: Job 4-week 15" _column(1353) str1 j4wk16u1 %1s "EE: Job 4-week 16" _column(1354) str1 j4wk17u1 %1s "EE: Job 4-week 17" _column(1355) str1 j4wk18u1 %1s "EE: Job 4-week 18" _column(1356) str1 j4wk19u1 %1s "EE: Job 4-week 19" _column(1357) str1 j4wk20u1 %1s "EE: Job 4-week 20" _column(1358) str1 j4wk21u1 %1s "EE: Job 4-week 21" _column(1359) str1 j4wk22u1 %1s "EE: Job 4-week 22" _column(1360) str1 j4wk23u1 %1s "EE: Job 4-week 23" _column(1361) str1 j4wk24u1 %1s "EE: Job 4-week 24" _column(1362) str1 j4wk25u1 %1s "EE: Job 4-week 25" _column(1363) str1 j4wk26u1 %1s "EE: Job 4-week 26" _column(1364) str1 j4wk27u1 %1s "EE: Job 4-week 27" _column(1365) str1 j4wk28u1 %1s "EE: Job 4-week 28" _column(1366) str1 j4wk29u1 %1s "EE: Job 4-week 29" _column(1367) str1 j4wk30u1 %1s "EE: Job 4-week 30" _column(1368) str1 j4wk31u1 %1s "EE: Job 4-week 31" _column(1369) str1 j4wk32u1 %1s "EE: Job 4-week 32" _column(1370) str1 j4wk33u1 %1s "EE: Job 4-week 33" _column(1371) str1 j4wk34u1 %1s "EE: Job 4-week 34" _column(1372) str1 j4wk35u1 %1s "EE: Job 4-week 35" _column(1373) str1 j4wk36u1 %1s "EE: Job 4-week 36" _column(1374) str1 j4wk37u1 %1s "EE: Job 4-week 37" _column(1375) str1 j4wk38u1 %1s "EE: Job 4-week 38" _column(1376) str1 j4wk39u1 %1s "EE: Job 4-week 39" _column(1377) str1 j4wk40u1 %1s "EE: Job 4-week 40" _column(1378) str1 j4wk41u1 %1s "EE: Job 4-week 41" _column(1379) str1 j4wk42u1 %1s "EE: Job 4-week 42" _column(1380) str1 j4wk43u1 %1s "EE: Job 4-week 43" _column(1381) str1 j4wk44u1 %1s "EE: Job 4-week 44" _column(1382) str1 j4wk45u1 %1s "EE: Job 4-week 45" _column(1383) str1 j4wk46u1 %1s "EE: Job 4-week 46" _column(1384) str1 j4wk47u1 %1s "EE: Job 4-week 47" _column(1385) str1 j4wk48u1 %1s "EE: Job 4-week 48" _column(1386) str1 j4wk49u1 %1s "EE: Job 4-week 49" _column(1387) str1 j4wk50u1 %1s "EE: Job 4-week 50" _column(1388) str1 j4wk51u1 %1s "EE: Job 4-week 51" _column(1389) str1 j4wk52u1 %1s "EE: Job 4-week 52" _column(1390) str2 j432suu1 %2s "EE: # of weeks worked job 4" _column(1392) str2 hrswk4u1 %2s "EE: Usual hours worked per week-job 4" _column(1394) str1 hr35e4u1 %1s "EE: Work 35+ hours per week-job 4" _column(1395) str1 clwrk4u1 %1s "EE: Class of worker-job 4" _column(1396) str1 kindg4u1 %1s "EE: Kind of govt - job 4" _column(1397) str1 srce4r1 %1s "EE: Source of wages-job 4" _column(1398) str1 fmwrk4u1 %1s "EE: Paid family bus/farm-job 4" _column(1399) str1 fminc4u1 %1s "EE: Family busi/farm incorp-job 4" _column(1400) str2 mbjob4u1 %2s "EE: Month started-job 4" _column(1402) str4 ybjob4u1 %4s "EE: Year started-job 4" _column(1406) str2 rslft4u1 %2s "EE: Main reason left job - job 4" _column(1408) str1 lftub4u1 %1s "EE: Apply for unemploy benefits-job 4" _column(1409) int j4indr1 %3f "EE: Industry code - job 4" _column(1412) byte se4indr1 %2f "EE: Self employed industry code - job " _column(1414) int j4occr1 %3f "EE: Occupation class. code - Job 4" _column(1417) str1 empsz4r1 %1s "EE: # Employees all locations - job 4" _column(1418) long ern4t1 %7f "EE: Earnings from employment - job 4" _column(1425) str1 repln4u1 %1s "EE: Emplyer pen./retirement plan- job " _column(1426) str1 reprt4u1 %1s "EE: Participate pen/retire plan - job " _column(1427) str1 hipln4u1 %1s "EE: Eligible hlth cov via emp - job 4" _column(1428) str1 hiprt4u1 %1s "EE: Participation in hlth insur - job " _column(1429) str1 pvdy4u1 %1s "EE: Paid vacation days- job 4" _column(1430) str2 pvdys4u1 %2s "EE: Number paid vacation days - job 4" _column(1432) str1 pdsl4u1 %1s "EE: Paid sick leave for job 4" _column(1433) str2 pdysl4u1 %2s "EE: Paid sick leave days- job 4" _column(1435) str1 tuitn4u1 %1s "EE: Paid tuition - job 4" _column(1436) str1 wrkjobu1 %1s "EE: Work last week" _column(1437) str1 wkftptu1 %1s "EE: Job last week" _column(1438) str1 layjobu1 %1s "EE: Layoff last week" _column(1439) str1 laydatu1 %1s "EE: Employer recall date" _column(1440) str1 lay6mou1 %1s "EE: Recall in six months" _column(1441) str1 ucynu1 %1s "IS: Unemployment Compensation" _column(1442) str1 uctyp1u1 %1s "IS: Rec'd State unemploy compensation" _column(1443) str1 uctyp2u1 %1s "IS: Supplemental unemployment benefits" _column(1444) str1 uctyp3u1 %1s "IS: Other unemployment compensation" _column(1445) str1 wcynu1 %1s "IS: Worker's Compensation" _column(1446) str1 wctypu1 %1s "IS: Source of Workers Comp payments" _column(1447) str1 ssynu1 %1s "IS: Rec'd Social Security" _column(1448) str1 sschynu1 %1s "IS: Rec'd SS on behalf of children" _column(1449) str1 v210u1 %1s "IS: Which children are covered by SS" _column(1450) str1 q211u1 %1s "IS: Rec'd SS for self in addit to chil" _column(1451) str1 ssiynu1 %1s "IS: Rec'd Supplemental Security Income" _column(1452) str1 ssicynu1 %1s "IS: Rec'd SSI on behalf of children" _column(1453) str1 v216u1 %1s "IS: Which children are covered by SSI" _column(1454) str1 q217u1 %1s "IS: Rec separate SSI payments for self" _column(1455) str1 foodspu1 %1s "IS: Did you receive food stamps" _column(1456) str1 foodcou1 %1s "IS: Covered by food stamps" _column(1457) str1 rcachu1 %1s "IS: Received Cash Assistance" _column(1458) str1 cawelfu1 %1s "IS: Type program: Welfare/State progra" _column(1459) str1 cagenu1 %1s "IS: Type program: General Assistance" _column(1460) str1 caemu1 %1s "IS: Type program: Emergency Assistance" _column(1461) str1 caothru1 %1s "IS: Type program: Other Program" _column(1462) str1 tanfcou1 %1s "IS: Covered by Cash Assistance" _column(1463) str1 transu1 %1s "IS: Rec'd Transportation Assistance" _column(1464) str1 ccareu1 %1s "IS: Rec'd Child care Assistance" _column(1465) str1 wicu1 %1s "IS: Did you receive WIC?" _column(1466) str1 wiccovu1 %1s "IS: Which children are covered by WIC" _column(1467) str1 uslnchu1 %1s "IS: Which children ate lunch at school" _column(1468) str1 fosteru1 %1s "IS: Who recd foster child care payment" _column(1469) str1 vetynu1 %1s "IS: Who rec'd Veterans payments" _column(1470) str1 vettp1u1 %1s "IS: Rec'd Service-connected disability" _column(1471) str1 vettp2u1 %1s "IS: Rec'd Survivor benefits" _column(1472) str1 vettp3u1 %1s "IS: Rec'd Veterans' pension" _column(1473) str1 vettp4u1 %1s "IS: Rec'd Educational Assistance" _column(1474) str1 vettp5u1 %1s "IS: Rec'd Other Veterans' payments" _column(1475) str1 vetqvau1 %1s "IS: Fill out annual income quest for V" _column(1476) str1 surynu1 %1s "IS: Who rec'd survivor's benefits" _column(1477) str2 sursc1u1 %2s "IS: Survivor Benefits, Source 1" _column(1479) str2 sursc2u1 %2s "IS: Survivor Benefits, Source 2" _column(1481) str1 v236bu1 %1s "IS: Has hlth condition prevents work" _column(1482) str1 q236b2u1 %1s "IS: Work in next 12 months - prevented" _column(1483) str1 v237u1 %1s "IS: Condition that limits amt of work" _column(1484) str1 q237bu1 %1s "IS: Work in next 12 months - limited" _column(1485) str1 v239u1 %1s "IS: Left job/retired for hlth reason" _column(1486) str1 disynu1 %1s "IS: Did you rec income for disability" _column(1487) str1 dissc1r1 %1s "IS: Disability payments-Source 1" _column(1488) str1 dissc2r1 %1s "IS: Disability payments-Source 2" _column(1489) str1 retynu1 %1s "IS: Rec'd retirement income" _column(1490) str1 retsc1u1 %1s "IS: Source of first Retirement Income" _column(1491) str1 retsc2u1 %1s "IS: Source of Second retirement income" _column(1492) str1 intynu1 %1s "IS: Rec'd Interest Income" _column(1493) str1 divynu1 %1s "IS: Rec'd Dividend Income" _column(1494) str1 rntynu1 %1s "IS: Rec'd Rental Income" _column(1495) str1 royalu1 %1s "IS: Rec'd Income from royalties" _column(1496) str1 trustu1 %1s "IS: Rec'd Income from estates or trust" _column(1497) str1 almynu1 %1s "IS: Rec'd Alimony payments" _column(1498) str1 cspynu1 %1s "IS: Rec'd Child support payments" _column(1499) str1 finynu1 %1s "IS: Rec'd Financial Assistance" _column(1500) str1 ngu1 %1s "IS: Rec'd National Guard/Reserve pay" _column(1501) str1 cernu1 %1s "IS: Rec'd Income from side business" _column(1502) str1 farmu1 %1s "IS: Received Income from farm" _column(1503) str1 lumpu1 %1s "IS: Rec'd Income from lump sum payment" _column(1504) str1 chru1 %1s "IS: Rec'd Income from charitable group" _column(1505) str1 oiu1 %1s "IS: Received Other income" _column(1506) str1 ucperu1 %1s "IA: Periodicity of Unemployment comp" _column(1507) long ucvalt1 %7f "IA: Unemployment compensation: Amount" _column(1514) str1 ucw01u1 %1s "IA: Week received UC in 2000-Week 01" _column(1515) str1 ucw02u1 %1s "IA: Week received UC in 2000-Week 02" _column(1516) str1 ucw03u1 %1s "IA: Week received UC in 2000-Week 03" _column(1517) str1 ucw04u1 %1s "IA: Week received UC in 2000-Week 04" _column(1518) str1 ucw05u1 %1s "IA: Week received UC in 2000-Week 05" _column(1519) str1 ucw06u1 %1s "IA: Week received UC in 2000-Week 06" _column(1520) str1 ucw07u1 %1s "IA: Week received UC in 2000-Week 07" _column(1521) str1 ucw08u1 %1s "IA: Week received UC in 2000-Week 08" _column(1522) str1 ucw09u1 %1s "IA: Week received UC in 2000-Week 09" _column(1523) str1 ucw10u1 %1s "IA: Week received UC in 2000-Week 10" _column(1524) str1 ucw11u1 %1s "IA: Week received UC in 2000-Week 11" _column(1525) str1 ucw12u1 %1s "IA: Week received UC in 2000-Week 12" _column(1526) str1 ucw13u1 %1s "IA: Week received UC in 2000-Week 13" _column(1527) str1 ucw14u1 %1s "IA: Week received UC in 2000-Week 14" _column(1528) str1 ucw15u1 %1s "IA: Week received UC in 2000-Week 15" _column(1529) str1 ucw16u1 %1s "IA: Week received UC in 2000-Week 16" _column(1530) str1 ucw17u1 %1s "IA: Week received UC in 2000-Week 17" _column(1531) str1 ucw18u1 %1s "IA: Week received UC in 2000-Week 18" _column(1532) str1 ucw19u1 %1s "IA: Week received UC in 2000-Week 19" _column(1533) str1 ucw20u1 %1s "IA: Week received UC in 2000-Week 20" _column(1534) str1 ucw21u1 %1s "IA: Week received UC in 2000-Week 21" _column(1535) str1 ucw22u1 %1s "IA: Week received UC in 2000-Week 22" _column(1536) str1 ucw23u1 %1s "IA: Week received UC in 2000-Week 23" _column(1537) str1 ucw24u1 %1s "IA: Week received UC in 2000-Week 24" _column(1538) str1 ucw25u1 %1s "IA: Week received UC in 2000-Week 25" _column(1539) str1 ucw26u1 %1s "IA: Week received UC in 2000-Week 26" _column(1540) str1 ucw27u1 %1s "IA: Week received UC in 2000-Week 27" _column(1541) str1 ucw28u1 %1s "IA: Week received UC in 2000-Week 28" _column(1542) str1 ucw29u1 %1s "IA: Week received UC in 2000-Week 29" _column(1543) str1 ucw30u1 %1s "IA: Week received UC in 2000-Week 30" _column(1544) str1 ucw31u1 %1s "IA: Week received UC in 2000-Week 31" _column(1545) str1 ucw32u1 %1s "IA: Week received UC in 2000-Week 32" _column(1546) str1 ucw33u1 %1s "IA: Week received UC in 2000-Week 33" _column(1547) str1 ucw34u1 %1s "IA: Week received UC in 2000-Week 34" _column(1548) str1 ucw35u1 %1s "IA: Week received UC in 2000-Week 35" _column(1549) str1 ucw36u1 %1s "IA: Week received UC in 2000-Week 36" _column(1550) str1 ucw37u1 %1s "IA: Week received UC in 2000-Week 37" _column(1551) str1 ucw38u1 %1s "IA: Week received UC in 2000-Week 38" _column(1552) str1 ucw39u1 %1s "IA: Week received UC in 2000-Week 39" _column(1553) str1 ucw40u1 %1s "IA: Week received UC in 2000-Week 40" _column(1554) str1 ucw41u1 %1s "IA: Week received UC in 2000-Week 41" _column(1555) str1 ucw42u1 %1s "IA: Week received UC in 2000-Week 42" _column(1556) str1 ucw43u1 %1s "IA: Week received UC in 2000-Week 43" _column(1557) str1 ucw44u1 %1s "IA: Week received UC in 2000-Week 44" _column(1558) str1 ucw45u1 %1s "IA: Week received UC in 2000-Week 45" _column(1559) str1 ucw46u1 %1s "IA: Week received UC in 2000-Week 46" _column(1560) str1 ucw47u1 %1s "IA: Week received UC in 2000-Week 47" _column(1561) str1 ucw48u1 %1s "IA: Week received UC in 2000-Week 48" _column(1562) str1 ucw49u1 %1s "IA: Week received UC in 2000-Week 49" _column(1563) str1 ucw50u1 %1s "IA: Week received UC in 2000-Week 50" _column(1564) str1 ucw51u1 %1s "IA: Week received UC in 2000-Week 51" _column(1565) str1 ucw52u1 %1s "IA: Week received UC in 2000-Week 52" _column(1566) str2 q305asu1 %2s "IA: Total weeks received UC in 2000" _column(1568) str1 ucm01u1 %1s "IA: Month received UC in 2000:Jan" _column(1569) str1 ucm02u1 %1s "IA: Month received UC in 2000:Feb" _column(1570) str1 ucm03u1 %1s "IA: Month received UC in 2000:Mar" _column(1571) str1 ucm04u1 %1s "IA: Month received UC in 2000:Apr" _column(1572) str1 ucm05u1 %1s "IA: Month received UC in 2000:May" _column(1573) str1 ucm06u1 %1s "IA: Month received UC in 2000:Jun" _column(1574) str1 ucm07u1 %1s "IA: Month received UC in 2000:Jul" _column(1575) str1 ucm08u1 %1s "IA: Month received UC in 2000:Aug" _column(1576) str1 ucm09u1 %1s "IA: Month received UC in 2000:Sep" _column(1577) str1 ucm10u1 %1s "IA: Month received UC in 2000:Oct" _column(1578) str1 ucm11u1 %1s "IA: Month received UC in 2000:Nov" _column(1579) str1 ucm12u1 %1s "IA: Month received UC in 2000:Dec" _column(1580) str2 ucmtu1 %2s "IA: Total months received UC in 2000" _column(1582) str1 wcperu1 %1s "IA: Periodicity of Worker's Comp" _column(1583) long wcvalt1 %7f "IA: Worker's compensation: amount" _column(1590) str1 wcw01u1 %1s "IA: Week received WC in 2000-Week 01" _column(1591) str1 wcw02u1 %1s "IA: Week received WC in 2000-Week 02" _column(1592) str1 wcw03u1 %1s "IA: Week received WC in 2000-Week 03" _column(1593) str1 wcw04u1 %1s "IA: Week received WC in 2000-Week 04" _column(1594) str1 wcw05u1 %1s "IA: Week received WC in 2000-Week 05" _column(1595) str1 wcw06u1 %1s "IA: Week received WC in 2000-Week 06" _column(1596) str1 wcw07u1 %1s "IA: Week received WC in 2000-Week 07" _column(1597) str1 wcw08u1 %1s "IA: Week received WC in 2000-Week 08" _column(1598) str1 wcw09u1 %1s "IA: Week received WC in 2000-Week 09" _column(1599) str1 wcw10u1 %1s "IA: Week received WC in 2000-Week 10" _column(1600) str1 wcw11u1 %1s "IA: Week received WC in 2000-Week 11" _column(1601) str1 wcw12u1 %1s "IA: Week received WC in 2000-Week 12" _column(1602) str1 wcw13u1 %1s "IA: Week received WC in 2000-Week 13" _column(1603) str1 wcw14u1 %1s "IA: Week received WC in 2000-Week 14" _column(1604) str1 wcw15u1 %1s "IA: Week received WC in 2000-Week 15" _column(1605) str1 wcw16u1 %1s "IA: Week received WC in 2000-Week 16" _column(1606) str1 wcw17u1 %1s "IA: Week received WC in 2000-Week 17" _column(1607) str1 wcw18u1 %1s "IA: Week received WC in 2000-Week 18" _column(1608) str1 wcw19u1 %1s "IA: Week received WC in 2000-Week 19" _column(1609) str1 wcw20u1 %1s "IA: Week received WC in 2000-Week 20" _column(1610) str1 wcw21u1 %1s "IA: Week received WC in 2000-Week 21" _column(1611) str1 wcw22u1 %1s "IA: Week received WC in 2000-Week 22" _column(1612) str1 wcw23u1 %1s "IA: Week received WC in 2000-Week 23" _column(1613) str1 wcw24u1 %1s "IA: Week received WC in 2000-Week 24" _column(1614) str1 wcw25u1 %1s "IA: Week received WC in 2000-Week 25" _column(1615) str1 wcw26u1 %1s "IA: Week received WC in 2000-Week 26" _column(1616) str1 wcw27u1 %1s "IA: Week received WC in 2000-Week 27" _column(1617) str1 wcw28u1 %1s "IA: Week received WC in 2000-Week 28" _column(1618) str1 wcw29u1 %1s "IA: Week received WC in 2000-Week 29" _column(1619) str1 wcw30u1 %1s "IA: Week received WC in 2000-Week 30" _column(1620) str1 wcw31u1 %1s "IA: Week received WC in 2000-Week 31" _column(1621) str1 wcw32u1 %1s "IA: Week received WC in 2000-Week 32" _column(1622) str1 wcw33u1 %1s "IA: Week received WC in 2000-Week 33" _column(1623) str1 wcw34u1 %1s "IA: Week received WC in 2000-Week 34" _column(1624) str1 wcw35u1 %1s "IA: Week received WC in 2000-Week 35" _column(1625) str1 wcw36u1 %1s "IA: Week received WC in 2000-Week 36" _column(1626) str1 wcw37u1 %1s "IA: Week received WC in 2000-Week 37" _column(1627) str1 wcw38u1 %1s "IA: Week received WC in 2000-Week 38" _column(1628) str1 wcw39u1 %1s "IA: Week received WC in 2000-Week 39" _column(1629) str1 wcw40u1 %1s "IA: Week received WC in 2000-Week 40" _column(1630) str1 wcw41u1 %1s "IA: Week received WC in 2000-Week 41" _column(1631) str1 wcw42u1 %1s "IA: Week received WC in 2000-Week 42" _column(1632) str1 wcw43u1 %1s "IA: Week received WC in 2000-Week 43" _column(1633) str1 wcw44u1 %1s "IA: Week received WC in 2000-Week 44" _column(1634) str1 wcw45u1 %1s "IA: Week received WC in 2000-Week 45" _column(1635) str1 wcw46u1 %1s "IA: Week received WC in 2000-Week 46" _column(1636) str1 wcw47u1 %1s "IA: Week received WC in 2000-Week 47" _column(1637) str1 wcw48u1 %1s "IA: Week received WC in 2000-Week 48" _column(1638) str1 wcw49u1 %1s "IA: Week received WC in 2000-Week 49" _column(1639) str1 wcw50u1 %1s "IA: Week received WC in 2000-Week 50" _column(1640) str1 wcw51u1 %1s "IA: Week received WC in 2000-Week 51" _column(1641) str1 wcw52u1 %1s "IA: Week received WC in 2000-Week 52" _column(1642) str2 q310asu1 %2s "IA: Total weeks received WC in 2000" _column(1644) str1 wcm01u1 %1s "IA: Month received WC - Jan 2000" _column(1645) str1 wcm02u1 %1s "IA: Month received WC - Feb 2000" _column(1646) str1 wcm03u1 %1s "IA: Month received WC - Mar 2000" _column(1647) str1 wcm04u1 %1s "IA: Month received WC - Apr 2000" _column(1648) str1 wcm05u1 %1s "IA: Month received WC - May 2000" _column(1649) str1 wcm06u1 %1s "IA: Month received WC - Jun 2000" _column(1650) str1 wcm07u1 %1s "IA: Month received WC - Jul 2000" _column(1651) str1 wcm08u1 %1s "IA: Month received WC - Aug 2000" _column(1652) str1 wcm09u1 %1s "IA: Month received WC - Sep 2000" _column(1653) str1 wcm10u1 %1s "IA: Month received WC - Oct 2000" _column(1654) str1 wcm11u1 %1s "IA: Month received WC - Nov 2000" _column(1655) str1 wcm12u1 %1s "IA: Month received WC - Dec 2000" _column(1656) str2 wcmtu1 %2s "IA: Total months received WC in 2000" _column(1658) str1 ssjvtu1 %1s "IA: Soc Sec received joint payments" _column(1659) str1 q317u1 %1s "IA: SS payment before/after Medcare de" _column(1660) str7 ssvalt1 %7s "IA: Social Security: amount" _column(1667) str7 sschvt1 %7s "IA: Social Security: amount for child" _column(1674) str1 ssm01u1 %1s "IA: Month received SS - Jan 2000" _column(1675) str1 ssm02u1 %1s "IA: Month received SS - Feb 2000" _column(1676) str1 ssm03u1 %1s "IA: Month received SS - Mar 2000" _column(1677) str1 ssm04u1 %1s "IA: Month received SS - Apr 2000" _column(1678) str1 ssm05u1 %1s "IA: Month received SS - May 2000" _column(1679) str1 ssm06u1 %1s "IA: Month received SS - Jun 2000" _column(1680) str1 ssm07u1 %1s "IA: Month received SS - Jul 2000" _column(1681) str1 ssm08u1 %1s "IA: Month received SS - Aug 2000" _column(1682) str1 ssm09u1 %1s "IA: Month received SS - Sep 2000" _column(1683) str1 ssm10u1 %1s "IA: Month received SS - Oct 2000" _column(1684) str1 ssm11u1 %1s "IA: Month received SS - Nov 2000" _column(1685) str1 ssm12u1 %1s "IA: Month received SS - Dec 2000" _column(1686) str2 ssmtu1 %2s "IA: Total months received SS in 2000" _column(1688) str1 sscm01u1 %1s "IA: Mth rec'd SS in 2000 for child:Jan" _column(1689) str1 sscm02u1 %1s "IA: Mth rec'd SS in 2000 for child:Feb" _column(1690) str1 sscm03u1 %1s "IA: Mth rec'd SS in 2000 for child:Mar" _column(1691) str1 sscm04u1 %1s "IA: Mth rec'd SS in 2000 for child:Apr" _column(1692) str1 sscm05u1 %1s "IA: Mth rec'd SS in 2000 for child:May" _column(1693) str1 sscm06u1 %1s "IA: Mth rec'd SS in 2000 for child:Jun" _column(1694) str1 sscm07u1 %1s "IA: Mth rec'd SS in 2000 for child:Jul" _column(1695) str1 sscm08u1 %1s "IA: Mth rec'd SS in 2000 for child:Aug" _column(1696) str1 sscm09u1 %1s "IA: Mth rec'd SS in 2000 for child:Sep" _column(1697) str1 sscm10u1 %1s "IA: Mth rec'd SS in 2000 for child:Oct" _column(1698) str1 sscm11u1 %1s "IA: Mth rec'd SS in 2000 for child:Nov" _column(1699) str1 sscm12u1 %1s "IA: Mth rec'd SS in 2000 for child:Dec" _column(1700) str2 sscmtu1 %2s "IA: Tot mths rec'd SS in 2000 for chil" _column(1702) long ssivalt1 %7f "IA: Supplemental Security Income: amt" _column(1709) str1 ssim01u1 %1s "IA: Month received SSI - Jan 2000" _column(1710) str1 ssim02u1 %1s "IA: Month received SSI - Feb 2000" _column(1711) str1 ssim03u1 %1s "IA: Month received SSI - Mar 2000" _column(1712) str1 ssim04u1 %1s "IA: Month received SSI - Apr 2000" _column(1713) str1 ssim05u1 %1s "IA: Month received SSI - May 2000" _column(1714) str1 ssim06u1 %1s "IA: Month received SSI - Jun 2000" _column(1715) str1 ssim07u1 %1s "IA: Month received SSI - Jul 2000" _column(1716) str1 ssim08u1 %1s "IA: Month received SSI - Aug 2000" _column(1717) str1 ssim09u1 %1s "IA: Month received SSI - Sep 2000" _column(1718) str1 ssim10u1 %1s "IA: Month received SSI - Oct 2000" _column(1719) str1 ssim11u1 %1s "IA: Month received SSI - Nov 2000" _column(1720) str1 ssim12u1 %1s "IA: Month received SSI - Dec 2000" _column(1721) str2 q329smu1 %2s "IA: Total months received SSI in 2000" _column(1723) str1 ssi1a1u1 %1s "IA: Apply for SSI: Need money-SP1" _column(1724) str1 ssi1a2u1 %1s "IA: Apply for SSI: Disabled-SP1" _column(1725) str1 ssi1a3u1 %1s "IA: Apply for SSI: Over 65-SP1" _column(1726) str1 ssi1a4u1 %1s "IA: Apply for SSI: Need med ben-SP1" _column(1727) str1 ssi1a5u1 %1s "IA: Apply for SSI: Other-SP1" _column(1728) str1 ssi1stu1 %1s "IA: Reason stop rec'g SSI in 2000-SP1" _column(1729) str1 ssi1c1u1 %1s "IA: Cutoff SSI: Income too high-SP1" _column(1730) str1 ssi1c2u1 %1s "IA: Cutoff SSI: No longer disabled-SP1" _column(1731) str1 ssi1c3u1 %1s "IA: Cutoff SSI: Immigration status-SP1" _column(1732) str1 ssi1c4u1 %1s "IA: Cutoff SSI: No longer eligible-SP1" _column(1733) str1 ssi1c5u1 %1s "IA: Cutoff SSI: No reason specified-SP" _column(1734) str1 ssi1c6u1 %1s "IA: Cutoff SSI: Didn't provide info-SP" _column(1735) str1 ssi1c7u1 %1s "IA: Cutoff SSI:Fail substance abuse-SP" _column(1736) str1 ssi1c8u1 %1s "IA: Cutoff SSI: Other-SP1" _column(1737) str1 si1d01u1 %1s "IA: Cut back on exps for neces-SP1" _column(1738) str1 si1d02u1 %1s "IA: Cut back on discr exps-toys,etc-SP" _column(1739) str1 si1d03u1 %1s "IA: Moved to cheaper housing-SP1" _column(1740) str1 si1d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1741) str1 si1d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1742) str1 si1d06u1 %1s "IA: Got a job-SP1" _column(1743) str1 si1d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1744) str1 si1d08u1 %1s "IA: Borrowed money from friend/fam-SP1" _column(1745) str1 si1d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1746) str1 si1d10u1 %1s "IA: App for benefits in other prog-SP1" _column(1747) str1 si1d11u1 %1s "IA: Placed child(s) in other care-SP1" _column(1748) str1 si1d12u1 %1s "IA: Got married-SP1" _column(1749) str1 si1d13u1 %1s "IA: Other-SP1" _column(1750) str1 ssi2a1u1 %1s "IA: Apply for SSI: Need money-SP2" _column(1751) str1 ssi2a2u1 %1s "IA: Apply for SSI: Disabled-SP2" _column(1752) str1 ssi2a3u1 %1s "IA: Apply for SSI: Over 65-SP2" _column(1753) str1 ssi2a4u1 %1s "IA: Apply for SSI: Need med ben-SP2" _column(1754) str1 ssi2a5u1 %1s "IA: Apply for SSI: Other-SP2" _column(1755) str1 ssi2stu1 %1s "IA: Reason stop rec'g SSI in 2000-SP2" _column(1756) str1 ssi2c1u1 %1s "IA: Cutoff SSI: Income too high-SP2" _column(1757) str1 ssi2c2u1 %1s "IA: Cutoff SSI: No longer disabled-SP2" _column(1758) str1 ssi2c3u1 %1s "IA: Cutoff SSI: Immigration status-SP2" _column(1759) str1 ssi2c4u1 %1s "IA: Cutoff SSI: No longer eligible-SP2" _column(1760) str1 ssi2c5u1 %1s "IA: Cutoff SSI: No reason specified-SP" _column(1761) str1 ssi2c6u1 %1s "IA: Cutoff SSI: Didn't provide info-SP" _column(1762) str1 ssi2c7u1 %1s "IA: Cutoff SSI:Fail substance abuse-SP" _column(1763) str1 ssi2c8u1 %1s "IA: Cutoff SSI: Other-SP2" _column(1764) str1 si2d01u1 %1s "IA: Cut back on exps for neces-SP2" _column(1765) str1 si2d02u1 %1s "IA: Cut back on discr exps-toys,etc-SP" _column(1766) str1 si2d03u1 %1s "IA: Moved to cheaper housing-SP2" _column(1767) str1 si2d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1768) str1 si2d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1769) str1 si2d06u1 %1s "IA: Got a job-SP2" _column(1770) str1 si2d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1771) str1 si2d08u1 %1s "IA: Borrowed money from friend/fam-SP2" _column(1772) str1 si2d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1773) str1 si2d10u1 %1s "IA: App for benefits in other prog-SP2" _column(1774) str1 si2d11u1 %1s "IA: Placed child(s) in other care-SP2" _column(1775) str1 si2d12u1 %1s "IA: Got married-SP2" _column(1776) str1 si2d13u1 %1s "IA: Other-SP2" _column(1777) str1 ssi3a1u1 %1s "IA: Apply for SSI: Need money-SP3" _column(1778) str1 ssi3a2u1 %1s "IA: Apply for SSI: Disabled-SP3" _column(1779) str1 ssi3a3u1 %1s "IA: Apply for SSI: Over 65-SP3" _column(1780) str1 ssi3a4u1 %1s "IA: Apply for SSI: Need med ben-SP3" _column(1781) str1 ssi3a5u1 %1s "IA: Apply for SSI: Other-SP3" _column(1782) str1 ssi3stu1 %1s "IA: Reason stop rec'g SSI in 2000-SP3" _column(1783) str1 ssi3c1u1 %1s "IA: Cutoff SSI: Income too high-SP3" _column(1784) str1 ssi3c2u1 %1s "IA: Cutoff SSI: No longer disabled-SP3" _column(1785) str1 ssi3c3u1 %1s "IA: Cutoff SSI: Immigration status-SP3" _column(1786) str1 ssi3c4u1 %1s "IA: Cutoff SSI: No longer eligible-SP3" _column(1787) str1 ssi3c5u1 %1s "IA: Cutoff SSI: No reason specified-SP" _column(1788) str1 ssi3c6u1 %1s "IA: Cutoff SSI: Didn't provide info-SP" _column(1789) str1 ssi3c7u1 %1s "IA: Cutoff SSI:Fail substance abuse-SP" _column(1790) str1 ssi3c8u1 %1s "IA: Cutoff SSI: Other-SP3" _column(1791) str1 si3d01u1 %1s "IA: Cut back on exps for neces-SP3" _column(1792) str1 si3d02u1 %1s "IA: Cut back on discr exps-toys,etc-SP" _column(1793) str1 si3d03u1 %1s "IA: Moved to cheaper housing-SP3" _column(1794) str1 si3d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1795) str1 si3d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1796) str1 si3d06u1 %1s "IA: Got a job-SP3" _column(1797) str1 si3d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1798) str1 si3d08u1 %1s "IA: Borrowed money from friend/fam-SP3" _column(1799) str1 si3d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1800) str1 si3d10u1 %1s "IA: App for benefits in other prog-SP3" _column(1801) str1 si3d11u1 %1s "IA: Placed child(s) in other care-SP3" _column(1802) str1 si3d12u1 %1s "IA: Got married-SP3" _column(1803) str1 si3d13u1 %1s "IA: Other-SP3" _column(1804) long ssichvt1 %7f "IA: SSI: Amount for child" _column(1811) str1 ssic01u1 %1s "IA: Month recd SSI for child - Jan 200" _column(1812) str1 ssic02u1 %1s "IA: Month recd SSI for child - Feb 200" _column(1813) str1 ssic03u1 %1s "IA: Month recd SSI for child - Mar 200" _column(1814) str1 ssic04u1 %1s "IA: Month recd SSI for child - Apr 200" _column(1815) str1 ssic05u1 %1s "IA: Month recd SSI for child - May 200" _column(1816) str1 ssic06u1 %1s "IA: Month recd SSI for child - Jun 200" _column(1817) str1 ssic07u1 %1s "IA: Month recd SSI for child - Jul 200" _column(1818) str1 ssic08u1 %1s "IA:Month recd SSI for child - Aug 2000" _column(1819) str1 ssic09u1 %1s "IA: Month recd SSI for child - Sep 200" _column(1820) str1 ssic10u1 %1s "IA: Month recd SSI for child - Oct 200" _column(1821) str1 ssic11u1 %1s "IA: Month recd SSI for child - Nov 200" _column(1822) str1 ssic12u1 %1s "IA: Month recd SSI for child - Dec 200" _column(1823) str2 ssicmtu1 %2s "IA: Tot mths recd SSI for child in 200" _column(1825) str1 sic1a1u1 %1s "IA: App Child SSI: Need money-SP1" _column(1826) str1 sic1a2u1 %1s "IA: App Child SSI: Child Disabled-SP1" _column(1827) str1 sic1a3u1 %1s "IA: App Child SSI: Need med benefit-SP" _column(1828) str1 sic1a4u1 %1s "IA: App Child SSI: Sep/divorced-SP1" _column(1829) str1 sic1a5u1 %1s "IA: App Child SSI: Loss of oth inc-SP1" _column(1830) str1 sic1a6u1 %1s "IA: App Child SSI: Learn about pgm-SP1" _column(1831) str1 sic1a7u1 %1s "IA: App Child SSI: Just applied-SP1" _column(1832) str1 sic1a8u1 %1s "IA: App Child SSI: Other-SP1" _column(1833) str1 sic1stu1 %1s "IA: Reasn not rec SSI for chld 2000-SP" _column(1834) str1 sic1c1u1 %1s "IA: Cut Child SSI: Income too high-SP1" _column(1835) str1 sic1c2u1 %1s "IA: Cut Child SSI: Hlth req not met-SP" _column(1836) str1 sic1c3u1 %1s "IA: Cut Child SSI: Immigrant status-SP" _column(1837) str1 sic1c4u1 %1s "IA: Cut Child SSI: No longer elig-SP1" _column(1838) str1 sic1c5u1 %1s "IA: Cut Child SSI: No reason given-SP1" _column(1839) str1 sic1c6u1 %1s "IA: Cut Child SSI: Didn't prov info-SP" _column(1840) str1 sic1c7u1 %1s "IA: Cut Child SSI: Subst abuse req-SP1" _column(1841) str1 sic1c8u1 %1s "IA: Cut Child SSI: Other-SP1" _column(1842) str1 sc1d01u1 %1s "IA: Cut back on exps for neces-SP1" _column(1843) str1 sc1d02u1 %1s "IA: Cut back on discr exps-toys,etc-SP" _column(1844) str1 sc1d03u1 %1s "IA: Moved to cheaper housing-SP1" _column(1845) str1 sc1d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1846) str1 sc1d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1847) str1 sc1d06u1 %1s "IA: Got a job-SP1" _column(1848) str1 sc1d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1849) str1 sc1d08u1 %1s "IA: Borrowed money from friend/fam-SP1" _column(1850) str1 sc1d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1851) str1 sc1d10u1 %1s "IA: App for benefits in other prog-SP1" _column(1852) str1 sc1d11u1 %1s "IA: Placed child(s) in other care-SP1" _column(1853) str1 sc1d12u1 %1s "IA: Got married-SP1" _column(1854) str1 sc1d13u1 %1s "IA: Other-SP1" _column(1855) str1 sic2a1u1 %1s "IA: App Child SSI: Need money-SP2" _column(1856) str1 sic2a2u1 %1s "IA: App Child SSI: Child Disabled-SP2" _column(1857) str1 sic2a3u1 %1s "IA: App Child SSI: Need med benefit-SP" _column(1858) str1 sic2a4u1 %1s "IA: App Child SSI: Sep/divorced-SP2" _column(1859) str1 sic2a5u1 %1s "IA: App Child SSI: Loss of oth inc-SP2" _column(1860) str1 sic2a6u1 %1s "IA: App Child SSI: Learn about pgm-SP2" _column(1861) str1 sic2a7u1 %1s "IA: App Child SSI: Just applied-SP2" _column(1862) str1 sic2a8u1 %1s "IA: App Child SSI: Other-SP2" _column(1863) str1 sic2stu1 %1s "IA: Reasn not rec SSI for chld 2000-SP" _column(1864) str1 sic2c1u1 %1s "IA: Cut Child SSI: Income too high-SP2" _column(1865) str1 sic2c2u1 %1s "IA: Cut Child SSI: Hlth req not met-SP" _column(1866) str1 sic2c3u1 %1s "IA: Cut Child SSI: Immigrant status-SP" _column(1867) str1 sic2c4u1 %1s "IA: Cut Child SSI: No longer elig-SP2" _column(1868) str1 sic2c5u1 %1s "IA: Cut Child SSI: No reason given-SP2" _column(1869) str1 sic2c6u1 %1s "IA: Cut Child SSI: Didn't prov info-SP" _column(1870) str1 sic2c7u1 %1s "IA: Cut Child SSI: Subst abuse req-SP2" _column(1871) str1 sic2c8u1 %1s "IA: Cut Child SSI: Other-SP2" _column(1872) str1 sc2d01u1 %1s "IA: Cut back on exps for neces-SP2" _column(1873) str1 sc2d02u1 %1s "IA: Cut back on discr exps-toys,etc-SP" _column(1874) str1 sc2d03u1 %1s "IA: Moved to cheaper housing-SP2" _column(1875) str1 sc2d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1876) str1 sc2d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1877) str1 sc2d06u1 %1s "IA: Got a job-SP2" _column(1878) str1 sc2d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1879) str1 sc2d08u1 %1s "IA: Borrowed money from friend/fam-SP2" _column(1880) str1 sc2d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1881) str1 sc2d10u1 %1s "IA: App for benefits in other prog-SP2" _column(1882) str1 sc2d11u1 %1s "IA: Placed child(s) in other care-SP2" _column(1883) str1 sc2d12u1 %1s "IA: Got married-SP2" _column(1884) str1 sc2d13u1 %1s "IA: Other-SP2" _column(1885) str1 sic3a1u1 %1s "IA: App Child SSI: Need money-SP3" _column(1886) str1 sic3a2u1 %1s "IA: App Child SSI: Child Disabled-SP3" _column(1887) str1 sic3a3u1 %1s "IA: App Child SSI: Need med benefit-SP" _column(1888) str1 sic3a4u1 %1s "IA: App Child SSI: Sep/divorced-SP3" _column(1889) str1 sic3a5u1 %1s "IA: App Child SSI: Loss of oth inc-SP3" _column(1890) str1 sic3a6u1 %1s "IA: App Child SSI: Learn about pgm-SP3" _column(1891) str1 sic3a7u1 %1s "IA: App Child SSI: Just applied-SP3" _column(1892) str1 sic3a8u1 %1s "IA: App Child SSI: Other-SP3" _column(1893) str1 sic3stu1 %1s "IA: Reasn not rec SSI for chld 2000-SP" _column(1894) str1 sic3c1u1 %1s "IA: Cut Child SSI: Income too high-SP3" _column(1895) str1 sic3c2u1 %1s "IA: Cut Child SSI: Hlth req not met-SP" _column(1896) str1 sic3c3u1 %1s "IA: Cut Child SSI: Immigrant status-SP" _column(1897) str1 sic3c4u1 %1s "IA: Cut Child SSI: No longer elig-SP3" _column(1898) str1 sic3c5u1 %1s "IA: Cut Child SSI: No reason given-SP3" _column(1899) str1 sic3c6u1 %1s "IA: Cut Child SSI: Didn't prov info-SP" _column(1900) str1 sic3c7u1 %1s "IA: Cut Child SSI: Subst abuse req-SP3" _column(1901) str1 sic3c8u1 %1s "IA: Cut Child SSI: Other-SP3" _column(1902) str1 sc3d01u1 %1s "IA: Cut back on exps for neces-SP3" _column(1903) str1 sc3d02u1 %1s "IA: Cut back on discr exps-toys,etc-SP" _column(1904) str1 sc3d03u1 %1s "IA: Moved to cheaper housing-SP3" _column(1905) str1 sc3d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1906) str1 sc3d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1907) str1 sc3d06u1 %1s "IA: Got a job-SP3" _column(1908) str1 sc3d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1909) str1 sc3d08u1 %1s "IA: Borrowed money from friend/fam-SP3" _column(1910) str1 sc3d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1911) str1 sc3d10u1 %1s "IA: App for benefits in other prog-SP3" _column(1912) str1 sc3d11u1 %1s "IA: Placed child(s) in other care-SP3" _column(1913) str1 sc3d12u1 %1s "IA: Got married-SP3" _column(1914) str1 sc3d13u1 %1s "IA: Other-SP3" _column(1915) str1 fsm01u1 %1s "IA: Month rec'd food stamps - Jan 2000" _column(1916) str1 fsm02u1 %1s "IA: Month rec'd food stamps - Feb 2000" _column(1917) str1 fsm03u1 %1s "IA: Month rec'd food stamps - Mar 2000" _column(1918) str1 fsm04u1 %1s "IA: Month rec'd food stamps - Apr 2000" _column(1919) str1 fsm05u1 %1s "IA: Month rec'd food stamps - May 2000" _column(1920) str1 fsm06u1 %1s "IA: Month rec'd food stamps - Jun 2000" _column(1921) str1 fsm07u1 %1s "IA: Month rec'd food stamps - Jul 2000" _column(1922) str1 fsm08u1 %1s "IA: Month rec'd food stamps - Aug 2000" _column(1923) str1 fsm09u1 %1s "IA: Month rec'd food stamps - Sep 2000" _column(1924) str1 fsm10u1 %1s "IA: Month rec'd food stamps - Oct 2000" _column(1925) str1 fsm11u1 %1s "IA: Month rec'd food stamps - Nov 2000" _column(1926) str1 fsm12u1 %1s "IA: Month rec'd food stamps - Dec 2000" _column(1927) str2 fsmtu1 %2s "IA: Tot mths rec'd food stamps in 2000" _column(1929) str1 fd1a01u1 %1s "IA: Apply for FS: Needed money-SP1" _column(1930) str1 fd1a02u1 %1s "IA: Apply for FS: Pregnancy/Birth-SP1" _column(1931) str1 fd1a03u1 %1s "IA: Apply for FS: Another dependent-SP" _column(1932) str1 fd1a04u1 %1s "IA: Apply for FS: Sep/divorced-SP1" _column(1933) str1 fd1a05u1 %1s "IA: Apply for FS: Loss of job/wages-SP" _column(1934) str1 fd1a06u1 %1s "IA: Apply for FS: Loss of oth suppt-SP" _column(1935) str1 fd1a07u1 %1s "IA: Apply for FS: Learned about pgm-SP" _column(1936) str1 fd1a08u1 %1s "IA: Apply for FS: Just applied-SP1" _column(1937) str1 fd1a09u1 %1s "IA: Apply for FS: Became disabled-SP1" _column(1938) str1 fd1a10u1 %1s "IA: Apply for FS: Other-SP1" _column(1939) str1 fd1stpu1 %1s "IA: Reason stopped rec FS in 2000-SP1" _column(1940) str1 fd1c01u1 %1s "IA: Cutoff FS: Income too high-SP1" _column(1941) str1 fd1c02u1 %1s "IA: Cutoff FS: Not elig - penalty-SP1" _column(1942) str1 fd1c03u1 %1s "IA: Cutoff FS: Hlth/dis req not met-SP" _column(1943) str1 fd1c04u1 %1s "IA: Cutoff FS: Immigration status-SP1" _column(1944) str1 fd1c05u1 %1s "IA: Cutoff FS: No reason specified-SP1" _column(1945) str1 fd1c06u1 %1s "IA: Cutoff FS: Didn't provide info-SP1" _column(1946) str1 fd1c07u1 %1s "IA: Cutoff FS: Non-coop work req-SP1" _column(1947) str1 fd1c08u1 %1s "IA: Cutoff FS: Non-coop child sup-SP1" _column(1948) str1 fd1c09u1 %1s "IA: Cutoff FS: Not in adult hhld-SP1" _column(1949) str1 fd1c10u1 %1s "IA: Cutoff FS: Substance abuse req-SP1" _column(1950) str1 fd1c11u1 %1s "IA: Cutoff FS: Rec'd max assist-SP1" _column(1951) str1 fd1c12u1 %1s "IA: Cutoff FS: Lack of pgm funding-SP1" _column(1952) str1 fd1c13u1 %1s "IA: Cutoff FS: Other-SP1" _column(1953) str1 fd1d01u1 %1s "IA: Cut back on exps for neces-SP1" _column(1954) str1 fd1d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP1" _column(1955) str1 fd1d03u1 %1s "IA: Moved to cheaper housing-SP1" _column(1956) str1 fd1d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1957) str1 fd1d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1958) str1 fd1d06u1 %1s "IA: Got a job-SP1" _column(1959) str1 fd1d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1960) str1 fd1d08u1 %1s "IA: Borrowed money from friend/fam-SP1" _column(1961) str1 fd1d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1962) str1 fd1d10u1 %1s "IA: App for benefits in other prog-SP1" _column(1963) str1 fd1d11u1 %1s "IA: Placed child(s) in other care-SP1" _column(1964) str1 fd1d12u1 %1s "IA: Got married-SP1" _column(1965) str1 fd1d13u1 %1s "IA: Other-SP1" _column(1966) str1 fd2a01u1 %1s "IA: Apply for FS: Needed money-SP2" _column(1967) str1 fd2a02u1 %1s "IA: Apply for FS: Pregnancy/Birth-SP2" _column(1968) str1 fd2a03u1 %1s "IA: Apply for FS: Another dependent-SP" _column(1969) str1 fd2a04u1 %1s "IA: Apply for FS: Sep/divorced-SP2" _column(1970) str1 fd2a05u1 %1s "IA: Apply for FS: Loss of job/wages-SP" _column(1971) str1 fd2a06u1 %1s "IA: Apply for FS: Loss of oth suppt-SP" _column(1972) str1 fd2a07u1 %1s "IA: Apply for FS: Learned about pgm-SP" _column(1973) str1 fd2a08u1 %1s "IA: Apply for FS: Just applied-SP2" _column(1974) str1 fd2a09u1 %1s "IA: Apply for FS: Became disabled-SP2" _column(1975) str1 fd2a10u1 %1s "IA: Apply for FS: Other-SP2" _column(1976) str1 fd2stpu1 %1s "IA: Reason stopped rec FS in 2000-SP2" _column(1977) str1 fd2c01u1 %1s "IA: Cutoff FS: Income too high-SP2" _column(1978) str1 fd2c02u1 %1s "IA: Cutoff FS: Not elig - penalty-SP2" _column(1979) str1 fd2c03u1 %1s "IA: Cutoff FS: Hlth/dis req not met-SP" _column(1980) str1 fd2c04u1 %1s "IA: Cutoff FS: Immigration status-SP2" _column(1981) str1 fd2c05u1 %1s "IA: Cutoff FS: No reason specified-SP2" _column(1982) str1 fd2c06u1 %1s "IA: Cutoff FS: Didn't provide info-SP2" _column(1983) str1 fd2c07u1 %1s "IA: Cutoff FS: Non-coop work req-SP2" _column(1984) str1 fd2c08u1 %1s "IA: Cutoff FS: Non-coop child sup-SP2" _column(1985) str1 fd2c09u1 %1s "IA: Cutoff FS: Not in adult hhld-SP2" _column(1986) str1 fd2c10u1 %1s "IA: Cutoff FS: Substance abuse req-SP2" _column(1987) str1 fd2c11u1 %1s "IA: Cutoff FS: Rec'd max assist-SP2" _column(1988) str1 fd2c12u1 %1s "IA: Cutoff FS: Lack of pgm funding-SP2" _column(1989) str1 fd2c13u1 %1s "IA: Cutoff FS: Other-SP2" _column(1990) str1 fd2d01u1 %1s "IA: Cut back on exps for neces-SP2" _column(1991) str1 fd2d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP2" _column(1992) str1 fd2d03u1 %1s "IA: Moved to cheaper housing-SP2" _column(1993) str1 fd2d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(1994) str1 fd2d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(1995) str1 fd2d06u1 %1s "IA: Got a job-SP2" _column(1996) str1 fd2d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(1997) str1 fd2d08u1 %1s "IA: Borrowed money from friend/fam-SP2" _column(1998) str1 fd2d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(1999) str1 fd2d10u1 %1s "IA: App for benefits in other prog-SP2" _column(2000) str1 fd2d11u1 %1s "IA: Placed child(s) in other care-SP2" _column(2001) str1 fd2d12u1 %1s "IA: Got married-SP2" _column(2002) str1 fd2d13u1 %1s "IA: Other-SP2" _column(2003) str1 fd3a01u1 %1s "IA: Apply for FS: Needed money-SP3" _column(2004) str1 fd3a02u1 %1s "IA: Apply for FS: Pregnancy/Birth-SP3" _column(2005) str1 fd3a03u1 %1s "IA: Apply for FS: Another dependent-SP" _column(2006) str1 fd3a04u1 %1s "IA: Apply for FS: Sep/divorced-SP3" _column(2007) str1 fd3a05u1 %1s "IA: Apply for FS: Loss of job/wages-SP" _column(2008) str1 fd3a06u1 %1s "IA: Apply for FS: Loss of oth suppt-SP" _column(2009) str1 fd3a07u1 %1s "IA: Apply for FS: Learned about pgm-SP" _column(2010) str1 fd3a08u1 %1s "IA: Apply for FS: Just applied-SP3" _column(2011) str1 fd3a09u1 %1s "IA: Apply for FS: Became disabled-SP3" _column(2012) str1 fd3a10u1 %1s "IA: Apply for FS: Other-SP3" _column(2013) str1 fd3stpu1 %1s "IA: Reason stopped rec FS in 2000-SP3" _column(2014) str1 fd3c01u1 %1s "IA: Cutoff FS: Income too high-SP3" _column(2015) str1 fd3c02u1 %1s "IA: Cutoff FS: Not elig - penalty-SP3" _column(2016) str1 fd3c03u1 %1s "IA: Cutoff FS: Hlth/dis req not met-SP" _column(2017) str1 fd3c04u1 %1s "IA: Cutoff FS: Immigration status-SP3" _column(2018) str1 fd3c05u1 %1s "IA: Cutoff FS: No reason specified-SP3" _column(2019) str1 fd3c06u1 %1s "IA: Cutoff FS: Didn't provide info-SP3" _column(2020) str1 fd3c07u1 %1s "IA: Cutoff FS: Non-coop work req-SP3" _column(2021) str1 fd3c08u1 %1s "IA: Cutoff FS: Non-coop child sup-SP3" _column(2022) str1 fd3c09u1 %1s "IA: Cutoff FS: Not in adult hhld-SP3" _column(2023) str1 fd3c10u1 %1s "IA: Cutoff FS: Substance abuse req-SP3" _column(2024) str1 fd3c11u1 %1s "IA: Cutoff FS: Rec'd max assist-SP3" _column(2025) str1 fd3c12u1 %1s "IA: Cutoff FS: Lack of pgm funding-SP3" _column(2026) str1 fd3c13u1 %1s "IA: Cutoff FS: Other-SP3" _column(2027) str1 fd3d01u1 %1s "IA: Cut back on exps for neces-SP3" _column(2028) str1 fd3d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP3" _column(2029) str1 fd3d03u1 %1s "IA: Moved to cheaper housing-SP3" _column(2030) str1 fd3d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2031) str1 fd3d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(2032) str1 fd3d06u1 %1s "IA: Got a job-SP3" _column(2033) str1 fd3d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(2034) str1 fd3d08u1 %1s "IA: Borrowed money from friend/fam-SP3" _column(2035) str1 fd3d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(2036) str1 fd3d10u1 %1s "IA: App for benefits in other prog-SP3" _column(2037) str1 fd3d11u1 %1s "IA: Placed child(s) in other care-SP3" _column(2038) str1 fd3d12u1 %1s "IA: Got married-SP3" _column(2039) str1 fd3d13u1 %1s "IA: Other-SP3" _column(2040) long fsvalt1 %7f "IA: Food stamps: amount" _column(2047) str1 tam01u1 %1s "IA: Month rec Cash Assist - Jan 2000" _column(2048) str1 tam02u1 %1s "IA: Month rec Cash Assist - Feb 2000" _column(2049) str1 tam03u1 %1s "IA: Month rec Cash Assist - Mar 2000" _column(2050) str1 tam04u1 %1s "IA: Month rec Cash Assist - Apr 2000" _column(2051) str1 tam05u1 %1s "IA: Month rec Cash Assist - May 2000" _column(2052) str1 tam06u1 %1s "IA: Month rec Cash Assist - Jun 2000" _column(2053) str1 tam07u1 %1s "IA: Month rec Cash Assist - Jul 2000" _column(2054) str1 tam08u1 %1s "IA: Month rec Cash Assist - Aug 2000" _column(2055) str1 tam09u1 %1s "IA: Month rec Cash Assist - Sep 2000" _column(2056) str1 tam10u1 %1s "IA: Month rec Cash Assist - Oct 2000" _column(2057) str1 tam11u1 %1s "IA: Month rec Cash Assist - Nov 2000" _column(2058) str1 tam12u1 %1s "IA: Month rec Cash Assist - Dec 2000" _column(2059) str2 tamtu1 %2s "IA: Tot months rec Cash Assist in 2000" _column(2061) str1 ta1a01u1 %1s "IA: Apply cash assist: Need Money-SP1" _column(2062) str1 ta1a02u1 %1s "IA: Apply cash assist:Pregnan/Birth-SP" _column(2063) str1 ta1a03u1 %1s "IA: Apply cash assist: Another depend-" _column(2064) str1 ta1a04u1 %1s "IA: Apply cash assist: Sep/divorced-SP" _column(2065) str1 ta1a05u1 %1s "IA: Apply cash assist: Los job/wage-SP" _column(2066) str1 ta1a06u1 %1s "IA: Apply cash assist: Loss oth supt-S" _column(2067) str1 ta1a07u1 %1s "IA: Apply cash assist: Learn abt pgm-S" _column(2068) str1 ta1a08u1 %1s "IA: Apply cash assist: Just applied-SP" _column(2069) str1 ta1a09u1 %1s "IA: Apply cash assist:Became disabl-SP" _column(2070) str1 ta1a10u1 %1s "IA: Apply cash assist: Other-SP1" _column(2071) str1 ta1stpu1 %1s "IA: Reas stop rec cash assist in 2000-" _column(2072) str1 ta1c01u1 %1s "IA: Cut cash assist: Income too high-S" _column(2073) str1 ta1c02u1 %1s "IA: Cut cash assist:Not elig-pnlty-SP1" _column(2074) str1 ta1c03u1 %1s "IA: Cut cash assist: Hlth/disab req-SP" _column(2075) str1 ta1c04u1 %1s "IA: Cut cash assist: Immigrat status-S" _column(2076) str1 ta1c05u1 %1s "IA: Cut cash assist: No reason given-S" _column(2077) str1 ta1c06u1 %1s "IA: Cut cash assist:Didn't prv info-SP" _column(2078) str1 ta1c07u1 %1s "IA: Cut cash assist:Non-coop wk req-SP" _column(2079) str1 ta1c08u1 %1s "IA: Cut cash assist:Non-coop ch sup-SP" _column(2080) str1 ta1c09u1 %1s "IA: Cut cash assist:Not adult hhld-SP1" _column(2081) str1 ta1c10u1 %1s "IA: Cut cash assist: Subst abuse req-S" _column(2082) str1 ta1c11u1 %1s "IA: Cut cash assist:Recd max assist-SP" _column(2083) str1 ta1c12u1 %1s "IA: Cut cash assist:Lack pgm fund-SP1" _column(2084) str1 ta1c13u1 %1s "IA: Cut cash assist: Other-SP1" _column(2085) str1 ta1d01u1 %1s "IA: Cut back on exps for neces-SP1" _column(2086) str1 ta1d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP1" _column(2087) str1 ta1d03u1 %1s "IA: Moved to cheaper housing-SP1" _column(2088) str1 ta1d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2089) str1 ta1d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(2090) str1 ta1d06u1 %1s "IA: Got a job-SP1" _column(2091) str1 ta1d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(2092) str1 ta1d08u1 %1s "IA: Borrowed money from friend/fam-SP1" _column(2093) str1 ta1d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(2094) str1 ta1d10u1 %1s "IA: App for benefits in other prog-SP1" _column(2095) str1 ta1d11u1 %1s "IA: Placed child(s) in other care-SP1" _column(2096) str1 ta1d12u1 %1s "IA: Got married-SP1" _column(2097) str1 ta1d13u1 %1s "IA: Other-SP1" _column(2098) str1 ta2a01u1 %1s "IA: Apply cash assist: Need Money-SP2" _column(2099) str1 ta2a02u1 %1s "IA: Apply cash assist:Pregnan/Birth-SP" _column(2100) str1 ta2a03u1 %1s "IA: Apply cash assist: Another depend-" _column(2101) str1 ta2a04u1 %1s "IA: Apply cash assist: Sep/divorced-SP" _column(2102) str1 ta2a05u1 %1s "IA: Apply cash assist: Los job/wage-SP" _column(2103) str1 ta2a06u1 %1s "IA: Apply cash assist: Loss oth supt-S" _column(2104) str1 ta2a07u1 %1s "IA: Apply cash assist: Learn abt pgm-S" _column(2105) str1 ta2a08u1 %1s "IA: Apply cash assist: Just applied-SP" _column(2106) str1 ta2a09u1 %1s "IA: Apply cash assist:Became disabl-SP" _column(2107) str1 ta2a10u1 %1s "IA: Apply cash assist: Other-SP2" _column(2108) str1 ta2stpu1 %1s "IA: Reas stop rec cash assist in 2000-" _column(2109) str1 ta2c01u1 %1s "IA: Cut cash assist: Income too high-S" _column(2110) str1 ta2c02u1 %1s "IA: Cut cash assist:Not elig - penalty" _column(2111) str1 ta2c03u1 %1s "IA: Cut cash assist: Hlth/disab req-SP" _column(2112) str1 ta2c04u1 %1s "IA: Cut cash assist: Immigrat status-S" _column(2113) str1 ta2c05u1 %1s "IA: Cut cash assist: No reason given-S" _column(2114) str1 ta2c06u1 %1s "IA: Cut cash assist:Didn't prv info-SP" _column(2115) str1 ta2c07u1 %1s "IA: Cut cash assist:Non-coop wk req-SP" _column(2116) str1 ta2c08u1 %1s "IA: Cut cash assist:Non-coop ch sup-SP" _column(2117) str1 ta2c09u1 %1s "IA: Cut cash assist:Not adult hhld-SP2" _column(2118) str1 ta2c10u1 %1s "IA: Cut cash assist: Subst abuse req-S" _column(2119) str1 ta2c11u1 %1s "IA: Cut cash assist:Recd max assist-SP" _column(2120) str1 ta2c12u1 %1s "IA: Cut cash assist:Lack pgm fund-SP2" _column(2121) str1 ta2c13u1 %1s "IA: Cut cash assist: Other-SP2" _column(2122) str1 ta2d01u1 %1s "IA: Cut back on exps for neces-SP2" _column(2123) str1 ta2d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP2" _column(2124) str1 ta2d03u1 %1s "IA: Moved to cheaper housing-SP2" _column(2125) str1 ta2d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2126) str1 ta2d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(2127) str1 ta2d06u1 %1s "IA: Got a job-SP2" _column(2128) str1 ta2d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(2129) str1 ta2d08u1 %1s "IA: Borrowed money from friend/fam-SP2" _column(2130) str1 ta2d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(2131) str1 ta2d10u1 %1s "IA: App for benefits in other prog-SP2" _column(2132) str1 ta2d11u1 %1s "IA: Placed child(s) in other care-SP2" _column(2133) str1 ta2d12u1 %1s "IA: Got married-SP2" _column(2134) str1 ta2d13u1 %1s "IA: Other-SP2" _column(2135) str1 ta3a01u1 %1s "IA: Apply cash assist: Need Money-SP3" _column(2136) str1 ta3a02u1 %1s "IA: Apply cash assist:Pregnan/Birth-SP" _column(2137) str1 ta3a03u1 %1s "IA: Apply cash assist: Another depend-" _column(2138) str1 ta3a04u1 %1s "IA: Apply cash assist: Sep/divorced-SP" _column(2139) str1 ta3a05u1 %1s "IA: Apply cash assist: Los job/wage-SP" _column(2140) str1 ta3a06u1 %1s "IA: Apply cash assist: Loss oth supt-S" _column(2141) str1 ta3a07u1 %1s "IA: Apply cash assist: Learn abt pgm-S" _column(2142) str1 ta3a08u1 %1s "IA: Apply cash assist: Just applied-SP" _column(2143) str1 ta3a09u1 %1s "IA: Apply cash assist:Became disabl-SP" _column(2144) str1 ta3a10u1 %1s "IA: Apply cash assist: Other-SP3" _column(2145) str1 ta3stpu1 %1s "IA: Reas stop rec cash assist in 2000-" _column(2146) str1 ta3c01u1 %1s "IA: Cut cash assist: Income too high-S" _column(2147) str1 ta3c02u1 %1s "IA: Cut cash assist:Not elig-penalty-S" _column(2148) str1 ta3c03u1 %1s "IA: Cut cash assist: Hlth/disab req-SP" _column(2149) str1 ta3c04u1 %1s "IA: Cut cash assist: Immigrat status-S" _column(2150) str1 ta3c05u1 %1s "IA: Cut cash assist: No reason given-S" _column(2151) str1 ta3c06u1 %1s "IA: Cut cash assist:Didn't prv info-SP" _column(2152) str1 ta3c07u1 %1s "IA: Cut cash assist:Non-coop wk req-SP" _column(2153) str1 ta3c08u1 %1s "IA: Cut cash assist:Non-coop ch sup-SP" _column(2154) str1 ta3c09u1 %1s "IA: Cut cash assist:Not adult hhld-SP3" _column(2155) str1 ta3c10u1 %1s "IA: Cut cash assist: Subst abuse req-S" _column(2156) str1 ta3c11u1 %1s "IA: Cut cash assist:Recd max assist-SP" _column(2157) str1 ta3c12u1 %1s "IA: Cut cash assist:Lack pgm fund-SP3" _column(2158) str1 ta3c13u1 %1s "IA: Cut cash assist: Other-SP3" _column(2159) str1 ta3d01u1 %1s "IA: Cut back on exps for neces-SP3" _column(2160) str1 ta3d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP3" _column(2161) str1 ta3d03u1 %1s "IA: Moved to cheaper housing-SP3" _column(2162) str1 ta3d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2163) str1 ta3d05u1 %1s "IA: Stop paying bills/pd bills late-SP" _column(2164) str1 ta3d06u1 %1s "IA: Got a job-SP3" _column(2165) str1 ta3d07u1 %1s "IA: Did some illegal-sold drugs,etc-SP" _column(2166) str1 ta3d08u1 %1s "IA: Borrowed money from friend/fam-SP3" _column(2167) str1 ta3d09u1 %1s "IA: Got child(s) father to give sup-SP" _column(2168) str1 ta3d10u1 %1s "IA: App for benefits in other prog-SP3" _column(2169) str1 ta3d11u1 %1s "IA: Placed child(s) in other care-SP3" _column(2170) str1 ta3d12u1 %1s "IA: Got married-SP3" _column(2171) str1 ta3d13u1 %1s "IA: Other-SP3" _column(2172) long tanfvat1 %7f "IA: Cash assistance: amount" _column(2179) str1 wicm01u1 %1s "IA: Month received WIC - Jan 2000" _column(2180) str1 wicm02u1 %1s "IA: Month received WIC - Feb 2000" _column(2181) str1 wicm03u1 %1s "IA: Month received WIC - Mar 2000" _column(2182) str1 wicm04u1 %1s "IA: Month received WIC - Apr 2000" _column(2183) str1 wicm05u1 %1s "IA: Month received WIC - May 2000" _column(2184) str1 wicm06u1 %1s "IA: Month received WIC - Jun 2000" _column(2185) str1 wicm07u1 %1s "IA: Month received WIC - Jul 2000" _column(2186) str1 wicm08u1 %1s "IA: Month received WIC - Aug 2000" _column(2187) str1 wicm09u1 %1s "IA: Month received WIC - Sep 2000" _column(2188) str1 wicm10u1 %1s "IA: Month received WIC - Oct 2000" _column(2189) str1 wicm11u1 %1s "IA: Month received WIC - Nov 2000" _column(2190) str1 wicm12u1 %1s "IA: Month received WIC - Dec 2000" _column(2191) str2 wicmtu1 %2s "IA: Total months received WIC in 2000" _column(2193) str1 wi1a01u1 %1s "IA: Apply for WIC: Needed money-SP1" _column(2194) str1 wi1a02u1 %1s "IA: Apply for WIC: Pregnancy/Birth-SP1" _column(2195) str1 wi1a03u1 %1s "IA: Apply for WIC: Anoth dependent-SP1" _column(2196) str1 wi1a04u1 %1s "IA: Apply for WIC: Sep/divorced-SP1" _column(2197) str1 wi1a05u1 %1s "IA: Apply for WIC: Loss job/wages-SP1" _column(2198) str1 wi1a06u1 %1s "IA: Apply for WIC: Loss of ot supt-SP1" _column(2199) str1 wi1a07u1 %1s "IA: Apply for WIC: Learn abut prog-SP1" _column(2200) str1 wi1a08u1 %1s "IA: Apply for WIC: Just applied-SP1" _column(2201) str1 wi1a09u1 %1s "IA: Apply for WIC:Became disabled-SP1" _column(2202) str1 wi1a10u1 %1s "IA: Apply for WIC: Other-SP1" _column(2203) str1 wi1stpu1 %1s "IA: Reason stop rec WIC in 2000-SP1" _column(2204) str1 wi1c01u1 %1s "IA: Cutoff WIC: Income too high-SP1" _column(2205) str1 wi1c02u1 %1s "IA: Cutoff WIC: Not elig - penalty-SP1" _column(2206) str1 wi1c03u1 %1s "IA: Cutoff WIC: Hlth/dis not met-SP1" _column(2207) str1 wi1c04u1 %1s "IA: Cutoff WIC: Immigration status-SP1" _column(2208) str1 wi1c05u1 %1s "IA: Cutoff WIC: No reason given-SP1" _column(2209) str1 wi1c06u1 %1s "IA: Cutoff WIC: Didnt provide info-SP1" _column(2210) str1 wi1c07u1 %1s "IA: Cutoff WIC: Non-coop work req-SP1" _column(2211) str1 wi1c08u1 %1s "IA: Cutoff WIC: Non-coop child sup-SP1" _column(2212) str1 wi1c09u1 %1s "IA: Cutoff WIC: Not adult hhld-SP1" _column(2213) str1 wi1c10u1 %1s "IA: Cutoff WIC: Substance abus req-SP1" _column(2214) str1 wi1c11u1 %1s "IA: Cutoff WIC: Rec'd max assist-SP1" _column(2215) str1 wi1c12u1 %1s "IA: Cutoff WIC: Lack pgm funding-SP1" _column(2216) str1 wi1c13u1 %1s "IA: Cutoff WIC: Other-SP1" _column(2217) str1 wc1d01u1 %1s "IA: Cut back on exps for neces-SP1" _column(2218) str1 wc1d02u1 %1s "IA: Cut back on discr exps-toy,etc-SP1" _column(2219) str1 wc1d03u1 %1s "IA: Moved to cheaper housing-SP1" _column(2220) str1 wc1d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2221) str1 wc1d05u1 %1s "IA: Stop paying bills/pd bills lte-SP1" _column(2222) str1 wc1d06u1 %1s "IA: Got a job-SP1" _column(2223) str1 wc1d07u1 %1s "IA: Did some illegal-sold drugs,et-SP1" _column(2224) str1 wc1d08u1 %1s "IA: Borrowed money from friend/fam-SP1" _column(2225) str1 wc1d09u1 %1s "IA: Got chld(s) father to give sup-SP1" _column(2226) str1 wc1d10u1 %1s "IA: App for benefits in other prog-SP1" _column(2227) str1 wc1d11u1 %1s "IA: Placed child(s) in other care-SP1" _column(2228) str1 wc1d12u1 %1s "IA: Got married-SP1" _column(2229) str1 wc1d13u1 %1s "IA: Other-SP1" _column(2230) str1 wi2a01u1 %1s "IA: Apply for WIC: Needed money-SP2" _column(2231) str1 wi2a02u1 %1s "IA: Apply for WIC: Pregnancy/Birth-SP2" _column(2232) str1 wi2a03u1 %1s "IA: Apply for WIC: Anoth dependent-SP2" _column(2233) str1 wi2a04u1 %1s "IA: Apply for WIC: Sep/divorced-SP2" _column(2234) str1 wi2a05u1 %1s "IA: Apply for WIC: Loss job/wages-SP2" _column(2235) str1 wi2a06u1 %1s "IA: Apply for WIC: Loss of ot supt-SP2" _column(2236) str1 wi2a07u1 %1s "IA: Apply for WIC: Learn abut prog-SP2" _column(2237) str1 wi2a08u1 %1s "IA: Apply for WIC: Just applied-SP2" _column(2238) str1 wi2a09u1 %1s "IA: Apply for WIC:Became disabled-SP2" _column(2239) str1 wi2a10u1 %1s "IA: Apply for WIC: Other-SP2" _column(2240) str1 wi2stpu1 %1s "IA: Reason stop rec WIC in 2000-SP2" _column(2241) str1 wi2c01u1 %1s "IA: Cutoff WIC: Income too high-SP2" _column(2242) str1 wi2c02u1 %1s "IA: Cutoff WIC: Not elig - penalty-SP2" _column(2243) str1 wi2c03u1 %1s "IA: Cutoff WIC: Hlth/dis not met-SP2" _column(2244) str1 wi2c04u1 %1s "IA: Cutoff WIC: Immigration status-SP2" _column(2245) str1 wi2c05u1 %1s "IA: Cutoff WIC: No reason given-SP2" _column(2246) str1 wi2c06u1 %1s "IA: Cutoff WIC: Didnt provide info-SP2" _column(2247) str1 wi2c07u1 %1s "IA: Cutoff WIC: Non-coop work req-SP2" _column(2248) str1 wi2c08u1 %1s "IA: Cutoff WIC: Non-coop child sup-SP2" _column(2249) str1 wi2c09u1 %1s "IA: Cutoff WIC: Not adult hhld-SP2" _column(2250) str1 wi2c10u1 %1s "IA: Cutoff WIC: Substance abus req-SP2" _column(2251) str1 wi2c11u1 %1s "IA: Cutoff WIC: Rec'd max assist-SP2" _column(2252) str1 wi2c12u1 %1s "IA: Cutoff WIC: Lack pgm funding-SP2" _column(2253) str1 wi2c13u1 %1s "IA: Cutoff WIC: Other-SP2" _column(2254) str1 wc2d01u1 %1s "IA: Cut back on exps for neces-SP2" _column(2255) str1 wc2d02u1 %1s "IA: Cut back on discr exps-toy,etc-SP2" _column(2256) str1 wc2d03u1 %1s "IA: Moved to cheaper housing-SP2" _column(2257) str1 wc2d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2258) str1 wc2d05u1 %1s "IA: Stop paying bills/pd bills lte-SP2" _column(2259) str1 wc2d06u1 %1s "IA: Got a job-SP2" _column(2260) str1 wc2d07u1 %1s "IA: Did some illegal-sold drugs,et-SP2" _column(2261) str1 wc2d08u1 %1s "IA: Borrowed money from friend/fam-SP2" _column(2262) str1 wc2d09u1 %1s "IA: Got chld(s) father to give sup-SP2" _column(2263) str1 wc2d10u1 %1s "IA: App for benefits in other prog-SP2" _column(2264) str1 wc2d11u1 %1s "IA: Placed child(s) in other care-SP2" _column(2265) str1 wc2d12u1 %1s "IA: Got married-SP2" _column(2266) str1 wc2d13u1 %1s "IA: Other-SP2" _column(2267) str1 wi3a01u1 %1s "IA: Apply for WIC: Needed money-SP3" _column(2268) str1 wi3a02u1 %1s "IA: Apply for WIC: Pregnancy/Birth-SP3" _column(2269) str1 wi3a03u1 %1s "IA: Apply for WIC: Anoth dependent-SP3" _column(2270) str1 wi3a04u1 %1s "IA: Apply for WIC: Sep/divorced-SP3" _column(2271) str1 wi3a05u1 %1s "IA: Apply for WIC: Loss job/wages-SP3" _column(2272) str1 wi3a06u1 %1s "IA: Apply for WIC: Loss of ot supt-SP3" _column(2273) str1 wi3a07u1 %1s "IA: Apply for WIC: Learn abut prog-SP3" _column(2274) str1 wi3a08u1 %1s "IA: Apply for WIC: Just applied-SP3" _column(2275) str1 wi3a09u1 %1s "IA: Apply for WIC:Became disabled-SP3" _column(2276) str1 wi3a10u1 %1s "IA: Apply for WIC: Other-SP3" _column(2277) str1 wi3stpu1 %1s "IA: Reason stop rec WIC in 2000-SP3" _column(2278) str1 wi3c01u1 %1s "IA: Cutoff WIC: Income too high-SP3" _column(2279) str1 wi3c02u1 %1s "IA: Cutoff WIC: Not elig - penalty-SP3" _column(2280) str1 wi3c03u1 %1s "IA: Cutoff WIC: Hlth/dis not met-SP3" _column(2281) str1 wi3c04u1 %1s "IA: Cutoff WIC: Immigration status-SP3" _column(2282) str1 wi3c05u1 %1s "IA: Cutoff WIC: No reason given-SP3" _column(2283) str1 wi3c06u1 %1s "IA: Cutoff WIC: Didnt provide info-SP3" _column(2284) str1 wi3c07u1 %1s "IA: Cutoff WIC: Non-coop work req-SP3" _column(2285) str1 wi3c08u1 %1s "IA: Cutoff WIC: Non-coop child sup-SP3" _column(2286) str1 wi3c09u1 %1s "IA: Cutoff WIC: Not adult hhld-SP3" _column(2287) str1 wi3c10u1 %1s "IA: Cutoff WIC: Substance abus req-SP3" _column(2288) str1 wi3c11u1 %1s "IA: Cutoff WIC: Rec'd max assist-SP3" _column(2289) str1 wi3c12u1 %1s "IA: Cutoff WIC: Lack pgm funding-SP3" _column(2290) str1 wi3c13u1 %1s "IA: Cutoff WIC: Other-SP3" _column(2291) str1 wc3d01u1 %1s "IA: Cut back on exps for neces-SP3" _column(2292) str1 wc3d02u1 %1s "IA: Cut back on discr exps-toy,etc-SP3" _column(2293) str1 wc3d03u1 %1s "IA: Moved to cheaper housing-SP3" _column(2294) str1 wc3d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2295) str1 wc3d05u1 %1s "IA: Stop paying bills/pd bills lte-SP3" _column(2296) str1 wc3d06u1 %1s "IA: Got a job-SP3" _column(2297) str1 wc3d07u1 %1s "IA: Did some illegal-sold drugs,et-SP3" _column(2298) str1 wc3d08u1 %1s "IA: Borrowed money from friend/fam-SP3" _column(2299) str1 wc3d09u1 %1s "IA: Got chld(s) father to give sup-SP3" _column(2300) str1 wc3d10u1 %1s "IA: App for benefits in other prog-SP3" _column(2301) str1 wc3d11u1 %1s "IA: Placed child(s) in other care-SP3" _column(2302) str1 wc3d12u1 %1s "IA: Got married-SP3" _column(2303) str1 wc3d13u1 %1s "IA: Other-SP3" _column(2304) str1 fccm01u1 %1s "IA: Rec'd Foster Child Care - Jan 2000" _column(2305) str1 fccm02u1 %1s "IA: Rec'd Foster Child Care - Feb 2000" _column(2306) str1 fccm03u1 %1s "IA: Rec'd Foster Child Care - Mar 2000" _column(2307) str1 fccm04u1 %1s "IA: Rec'd Foster Child Care - Apr 2000" _column(2308) str1 fccm05u1 %1s "IA: Rec'd Foster Child Care - May 2000" _column(2309) str1 fccm06u1 %1s "IA: Rec'd Foster Child Care - Jun 2000" _column(2310) str1 fccm07u1 %1s "IA: Rec'd Foster Child Care - Jul 2000" _column(2311) str1 fccm08u1 %1s "IA: Rec'd Foster Child Care - Aug 2000" _column(2312) str1 fccm09u1 %1s "IA: Rec'd Foster Child Care - Sep 2000" _column(2313) str1 fccm10u1 %1s "IA: Rec'd Foster Child Care - Oct 2000" _column(2314) str1 fccm11u1 %1s "IA: Rec'd Foster Child Care - Nov 2000" _column(2315) str1 fccm12u1 %1s "IA: Rec'd Foster Child Care - Dec 2000" _column(2316) str2 fcmtu1 %2s "IA: Tot mths rec Foster Chld Care-2000" _column(2318) long fosvalt1 %7f "IA: Foster child care: amount" _column(2325) str1 gam01u1 %1s "IA: Recd General Assistance - Jan 2000" _column(2326) str1 gam02u1 %1s "IA: Recd General Assistance - Feb 2000" _column(2327) str1 gam03u1 %1s "IA: Recd General Assistance - Mar 2000" _column(2328) str1 gam04u1 %1s "IA: Recd General Assistance - Apr 2000" _column(2329) str1 gam05u1 %1s "IA: Recd General Assistance - May 2000" _column(2330) str1 gam06u1 %1s "IA: Recd General Assistance - Jun 2000" _column(2331) str1 gam07u1 %1s "IA: Recd General Assistance - Jul 2000" _column(2332) str1 gam08u1 %1s "IA: Recd General Assistance - Aug 2000" _column(2333) str1 gam09u1 %1s "IA: Recd General Assistance - Sep 2000" _column(2334) str1 gam10u1 %1s "IA: Recd General Assistance - Oct 2000" _column(2335) str1 gam11u1 %1s "IA: Recd General Assistance - Nov 2000" _column(2336) str1 gam12u1 %1s "IA: Recd General Assistance - Dec 2000" _column(2337) str2 gamtu1 %2s "IA: Tol mths recd General Assist-2000" _column(2339) long gasvalt1 %7f "IA: General assistance: amount" _column(2346) long emgvalr1 %5f "IA: Emergency Assistance: Amount" _column(2351) str1 owem01u1 %1s "IA: Rec'd other assistance - Jan 2000" _column(2352) str1 owem02u1 %1s "IA: Rec'd other assistance - Feb 2000" _column(2353) str1 owem03u1 %1s "IA: Rec'd other assistance - Mar 2000" _column(2354) str1 owem04u1 %1s "IA: Rec'd other assistance - Apr 2000" _column(2355) str1 owem05u1 %1s "IA: Rec'd other assistance - May 2000" _column(2356) str1 owem06u1 %1s "IA: Rec'd other assistance - Jun 2000" _column(2357) str1 owem07u1 %1s "IA: Rec'd other assistance - Jul 2000" _column(2358) str1 owem08u1 %1s "IA: Rec'd other assistance - Aug 2000" _column(2359) str1 owem09u1 %1s "IA: Rec'd other assistance - Sep 2000" _column(2360) str1 owem10u1 %1s "IA: Rec'd other assistance - Oct 2000" _column(2361) str1 owem11u1 %1s "IA: Rec'd other assistance - Nov 2000" _column(2362) str1 owem12u1 %1s "IA: Rec'd other assistance - Dec 2000" _column(2363) str2 owemsu1 %2s "IA: Tot mths rec'd other assist-2000" _column(2365) str1 oa1a01u1 %1s "IA: Apply other assist:Need money-SP1" _column(2366) str1 oa1a02u1 %1s "IA: Apply other assist:Preg/Birth-SP1" _column(2367) str1 oa1a03u1 %1s "IA: Apply other assist:Another dep-SP1" _column(2368) str1 oa1a04u1 %1s "IA: Apply other assist:Sep/divorced-SP" _column(2369) str1 oa1a05u1 %1s "IA: Apply other assist:Los job/wage-SP" _column(2370) str1 oa1a06u1 %1s "IA: Apply other assist:Loss ot supt-SP" _column(2371) str1 oa1a07u1 %1s "IA: Apply other assist:Lrn about pg-SP" _column(2372) str1 oa1a08u1 %1s "IA: Apply other assist:Just applied-SP" _column(2373) str1 oa1a09u1 %1s "IA: Apply other assist:Became disab-SP" _column(2374) str1 oa1a10u1 %1s "IA: Apply other assist:Other-SP1" _column(2375) str1 oa1stpu1 %1s "IA: Reas stop rec oth assist-2000-SP1" _column(2376) str1 oa1c01u1 %1s "IA: Cut oth asst: Income too high-SP1" _column(2377) str1 oa1c02u1 %1s "IA: Cut oth asst: Not eligible-SP1" _column(2378) str1 oa1c03u1 %1s "IA: Cut oth asst: Hlth dis/req-SP1" _column(2379) str1 oa1c04u1 %1s "IA: Cut oth asst: Immigrat status-SP1" _column(2380) str1 oa1c05u1 %1s "IA: Cut oth asst: No reason spec-SP1" _column(2381) str1 oa1c06u1 %1s "IA: Cut oth asst: Didnt prov info-SP1" _column(2382) str1 oa1c07u1 %1s "IA: Cut oth asst: Non-coop work-SP1" _column(2383) str1 oa1c08u1 %1s "IA: Cut oth asst: Non-coop child-SP1" _column(2384) str1 oa1c09u1 %1s "IA: Cut oth asst: Not adult hhld-SP1" _column(2385) str1 oa1c10u1 %1s "IA: Cut oth asst: Fail subs abuse-SP1" _column(2386) str1 oa1c11u1 %1s "IA: Cut oth asst: Rec'd max asst-SP1" _column(2387) str1 oa1c12u1 %1s "IA: Cut oth asst: Lack prog fund-SP1" _column(2388) str1 oa1c13u1 %1s "IA: Cut oth asst: Other-SP1" _column(2389) str1 oa1d01u1 %1s "IA: Cut back on exps for neces-SP1" _column(2390) str1 oa1d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP1" _column(2391) str1 oa1d03u1 %1s "IA: Moved to cheaper housing-SP1" _column(2392) str1 oa1d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2393) str1 oa1d05u1 %1s "IA: Stop paying bills/pd bills lte-SP1" _column(2394) str1 oa1d06u1 %1s "IA: Got a job-SP1" _column(2395) str1 oa1d07u1 %1s "IA: Did some illegal-sold drugs,et-SP1" _column(2396) str1 oa1d08u1 %1s "IA: Borrowed money from friend/fam-SP1" _column(2397) str1 oa1d09u1 %1s "IA: Got child(s) father to giv sup-SP1" _column(2398) str1 oa1d10u1 %1s "IA: App for benefits in other prog-SP1" _column(2399) str1 oa1d11u1 %1s "IA: Placed child(s) in other care-SP1" _column(2400) str1 oa1d12u1 %1s "IA: Got married-SP1" _column(2401) str1 oa1d13u1 %1s "IA: Other-SP1" _column(2402) str1 oa2a01u1 %1s "IA: Apply other assist:Need money-SP2" _column(2403) str1 oa2a02u1 %1s "IA: Apply other assist:Preg/Birth-SP2" _column(2404) str1 oa2a03u1 %1s "IA: Apply other assist:Another dep-SP2" _column(2405) str1 oa2a04u1 %1s "IA: Apply other assist:Sep/divorced-SP" _column(2406) str1 oa2a05u1 %1s "IA: Apply other assist:Los job/wage-SP" _column(2407) str1 oa2a06u1 %1s "IA: Apply other assist:Loss ot supt-SP" _column(2408) str1 oa2a07u1 %1s "IA: Apply other assist:Lrn about pg-SP" _column(2409) str1 oa2a08u1 %1s "IA: Apply other assist:Just applied-SP" _column(2410) str1 oa2a09u1 %1s "IA: Apply other assist:Became disab-SP" _column(2411) str1 oa2a10u1 %1s "IA: Apply other assist:Other-SP2" _column(2412) str1 oa2stpu1 %1s "IA: Reas stop rec oth assist-2000-SP2" _column(2413) str1 oa2c01u1 %1s "IA: Cut oth asst: Income too high-SP2" _column(2414) str1 oa2c02u1 %1s "IA: Cut oth asst: Not eligible-SP2" _column(2415) str1 oa2c03u1 %1s "IA: Cut oth asst: Hlth/dis req-SP1" _column(2416) str1 oa2c04u1 %1s "IA: Cut oth asst: Immigrat status-SP2" _column(2417) str1 oa2c05u1 %1s "IA: Cut oth asst: No reason spec-SP2" _column(2418) str1 oa2c06u1 %1s "IA: Cut oth asst: Didnt prov info-SP2" _column(2419) str1 oa2c07u1 %1s "IA: Cut oth asst: Non-coop work-SP2" _column(2420) str1 oa2c08u1 %1s "IA: Cut oth asst: Non-coop child-SP2" _column(2421) str1 oa2c09u1 %1s "IA: Cut oth asst: Not adult hhld-SP2" _column(2422) str1 oa2c10u1 %1s "IA: Cut oth asst: Fail subs abuse-SP2" _column(2423) str1 oa2c11u1 %1s "IA: Cut oth asst: Rec'd max asst-SP2" _column(2424) str1 oa2c12u1 %1s "IA: Cut oth asst: Lack prog fund-SP2" _column(2425) str1 oa2c13u1 %1s "IA: Cut oth asst: Other-SP2" _column(2426) str1 oa2d01u1 %1s "IA: Cut back on exps for neces-SP2" _column(2427) str1 oa2d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP2" _column(2428) str1 oa2d03u1 %1s "IA: Moved to cheaper housing-SP2" _column(2429) str1 oa2d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2430) str1 oa2d05u1 %1s "IA: Stop paying bills/pd bills lte-SP2" _column(2431) str1 oa2d06u1 %1s "IA: Got a job-SP2" _column(2432) str1 oa2d07u1 %1s "IA: Did some illegal-sold drugs,et-SP2" _column(2433) str1 oa2d08u1 %1s "IA: Borrowed money from friend/fam-SP2" _column(2434) str1 oa2d09u1 %1s "IA: Got child(s) father to giv sup-SP2" _column(2435) str1 oa2d10u1 %1s "IA: App for benefits in other prog-SP2" _column(2436) str1 oa2d11u1 %1s "IA: Placed child(s) in other care-SP2" _column(2437) str1 oa2d12u1 %1s "IA: Got married-SP2" _column(2438) str1 oa2d13u1 %1s "IA: Other-SP2" _column(2439) str1 oa3a01u1 %1s "IA: Apply other assist:Need money-SP3" _column(2440) str1 oa3a02u1 %1s "IA: Apply other assist:Preg/Birth-SP3" _column(2441) str1 oa3a03u1 %1s "IA: Apply other assist:Another dep-SP3" _column(2442) str1 oa3a04u1 %1s "IA: Apply other assist:Sep/divorced-SP" _column(2443) str1 oa3a05u1 %1s "IA: Apply other assist:Los job/wage-SP" _column(2444) str1 oa3a06u1 %1s "IA: Apply other assist:Loss ot supt-SP" _column(2445) str1 oa3a07u1 %1s "IA: Apply other assist:Lrn about pg-SP" _column(2446) str1 oa3a08u1 %1s "IA: Apply other assist:Just applied-SP" _column(2447) str1 oa3a09u1 %1s "IA: Apply other assist:Became disab-SP" _column(2448) str1 oa3a10u1 %1s "IA: Apply other assist:Other-SP3" _column(2449) str1 oa3stpu1 %1s "IA: Reas stop rec oth assist-2000-SP3" _column(2450) str1 oa3c01u1 %1s "IA: Cut oth asst: Income too high-SP3" _column(2451) str1 oa3c02u1 %1s "IA: Cut oth asst: Not eligible-SP3" _column(2452) str1 oa3c03u1 %1s "IA: Cut oth asst: Hlth/dis req-SP3" _column(2453) str1 oa3c04u1 %1s "IA: Cut oth asst: Immigrat status-SP3" _column(2454) str1 oa3c05u1 %1s "IA: Cut oth asst: No reason spec-SP3" _column(2455) str1 oa3c06u1 %1s "IA: Cut oth asst: Didnt prov info-SP3" _column(2456) str1 oa3c07u1 %1s "IA: Cut oth asst: Non-coop work-SP3" _column(2457) str1 oa3c08u1 %1s "IA: Cut oth asst: Non-coop child-SP3" _column(2458) str1 oa3c09u1 %1s "IA: Cut oth asst: Not adult hhld-SP3" _column(2459) str1 oa3c10u1 %1s "IA: Cut oth asst: Fail subs abuse-SP3" _column(2460) str1 oa3c11u1 %1s "IA: Cut oth asst: Rec'd max asst-SP3" _column(2461) str1 oa3c12u1 %1s "IA: Cut oth asst: Lack prog fund-SP3" _column(2462) str1 oa3c13u1 %1s "IA: Cut oth asst: Other-SP3" _column(2463) str1 oa3d01u1 %1s "IA: Cut back on exps for neces-SP3" _column(2464) str1 oa3d02u1 %1s "IA: Cut back on discr exp-toys,etc-SP3" _column(2465) str1 oa3d03u1 %1s "IA: Moved to cheaper housing-SP3" _column(2466) str1 oa3d04u1 %1s "IA: Moved in with others/doubled up-SP" _column(2467) str1 oa3d05u1 %1s "IA: Stop paying bills/pd bills lte-SP3" _column(2468) str1 oa3d06u1 %1s "IA: Got a job-SP3" _column(2469) str1 oa3d07u1 %1s "IA: Did some illegal-sold drugs,et-SP3" _column(2470) str1 oa3d08u1 %1s "IA: Borrowed money from friend/fam-SP3" _column(2471) str1 oa3d09u1 %1s "IA: Got child(s) father to giv sup-SP3" _column(2472) str1 oa3d10u1 %1s "IA: App for benefits in other prog-SP3" _column(2473) str1 oa3d11u1 %1s "IA: Placed child(s) in other care-SP3" _column(2474) str1 oa3d12u1 %1s "IA: Got married-SP3" _column(2475) str1 oa3d13u1 %1s "IA: Other-SP3" _column(2476) long oavalt1 %7f "IA: Other welfare: Amount" _column(2483) long engvalt1 %7f "IA: Energy assistance: Amount" _column(2490) long vetvalt1 %7f "IA: Veterans income: Amount" _column(2497) str1 vetm01u1 %1s "IA: Recd Veterans' payments - Jan 2000" _column(2498) str1 vetm02u1 %1s "IA: Recd Veterans' payments - Feb 2000" _column(2499) str1 vetm03u1 %1s "IA: Recd Veterans' payments - Mar 2000" _column(2500) str1 vetm04u1 %1s "IA: Recd Veterans' payments - Apr 2000" _column(2501) str1 vetm05u1 %1s "IA: Recd Veterans' payments - May 2000" _column(2502) str1 vetm06u1 %1s "IA: Recd Veterans' payments - Jun 2000" _column(2503) str1 vetm07u1 %1s "IA: Recd Veterans' payments - Jul 2000" _column(2504) str1 vetm08u1 %1s "IA: Recd Veterans' payments - Aug 2000" _column(2505) str1 vetm09u1 %1s "IA: Recd Veterans' payments - Sep 2000" _column(2506) str1 vetm10u1 %1s "IA: Recd Veterans' payments - Oct 2000" _column(2507) str1 vetm11u1 %1s "IA: Recd Veterans' payments - Nov 2000" _column(2508) str1 vetm12u1 %1s "IA: Recd Veterans' payments - Dec 2000" _column(2509) str2 vetmtu1 %2s "IA: Tot mths rec'd Vet's payments-2000" _column(2511) long surva1t1 %7f "IA: Survivors inc (source 1): amount" _column(2518) str1 s1m01u1 %1s "IA: Rec'd 1st Survivors inc - Jan 2000" _column(2519) str1 s1m02u1 %1s "IA: Rec'd 1st Survivors inc - Feb 2000" _column(2520) str1 s1m03u1 %1s "IA: Rec'd 1st Survivors inc - Mar 2000" _column(2521) str1 s1m04u1 %1s "IA: Rec'd 1st Survivors inc - Apr 2000" _column(2522) str1 s1m05u1 %1s "IA: Rec'd 1st Survivors inc - May 2000" _column(2523) str1 s1m06u1 %1s "IA: Rec'd 1st Survivors inc - Jun 2000" _column(2524) str1 s1m07u1 %1s "IA: Rec'd 1st Survivors inc - Jul 2000" _column(2525) str1 s1m08u1 %1s "IA: Rec'd 1st Survivors inc - Aug 2000" _column(2526) str1 s1m09u1 %1s "IA: Rec'd 1st Survivors inc - Sep 2000" _column(2527) str1 s1m10u1 %1s "IA: Rec'd 1st Survivors inc - Oct 2000" _column(2528) str1 s1m11u1 %1s "IA: Rec'd 1st Survivors inc - Nov 2000" _column(2529) str1 s1m12u1 %1s "IA: Rec'd 1st Survivors inc - Dec 2000" _column(2530) str2 s1mtu1 %2s "IA: Tot mths rec'd 1st surviv inc-2000" _column(2532) long surva2t1 %7f "IA: Survivors inc (source 2): amount" _column(2539) str1 s2m01u1 %1s "IA: Rec'd 2nd Survivors inc - Jan 2000" _column(2540) str1 s2m02u1 %1s "IA: Rec'd 2nd Survivors inc - Feb 2000" _column(2541) str1 s2m03u1 %1s "IA: Rec'd 2nd Survivors inc - Mar 2000" _column(2542) str1 s2m04u1 %1s "IA: Rec'd 2nd Survivors inc - Apr 2000" _column(2543) str1 s2m05u1 %1s "IA: Rec'd 2nd Survivors inc - May 2000" _column(2544) str1 s2m06u1 %1s "IA: Rec'd 2nd Survivors inc - Jun 2000" _column(2545) str1 s2m07u1 %1s "IA: Rec'd 2nd Survivors inc - Jul 2000" _column(2546) str1 s2m08u1 %1s "IA: Rec'd 2nd Survivors inc - Aug 2000" _column(2547) str1 s2m09u1 %1s "IA: Rec'd 2nd Survivors inc - Sep 2000" _column(2548) str1 s2m10u1 %1s "IA: Rec'd 2nd Survivors inc - Oct 2000" _column(2549) str1 s2m11u1 %1s "IA: Rec'd 2nd Survivors inc - Nov 2000" _column(2550) str1 s2m12u1 %1s "IA: Rec'd 2nd Survivors inc - Dec 2000" _column(2551) str2 s2mtu1 %2s "IA: Tot mths rec'd 2nd Surviv inc-2000" _column(2553) long disva1t1 %7f "IA: Disability income source: Amount 1" _column(2560) str1 ds1m01u1 %1s "IA: Recd 1st Disability inc - Jan 2000" _column(2561) str1 ds1m02u1 %1s "IA: Recd 1st Disability inc - Feb 2000" _column(2562) str1 ds1m03u1 %1s "IA: Recd 1st Disability inc - Mar 2000" _column(2563) str1 ds1m04u1 %1s "IA: Recd 1st Disability inc - Apr 2000" _column(2564) str1 ds1m05u1 %1s "IA: Recd 1st Disability inc - May 2000" _column(2565) str1 ds1m06u1 %1s "IA: Recd 1st Disability inc - Jun 2000" _column(2566) str1 ds1m07u1 %1s "IA: Recd 1st Disability inc - Jul 2000" _column(2567) str1 ds1m08u1 %1s "IA: Recd 1st Disability inc - Aug 2000" _column(2568) str1 ds1m09u1 %1s "IA: Recd 1st Disability inc - Sep 2000" _column(2569) str1 ds1m10u1 %1s "IA: Recd 1st Disability inc - Oct 2000" _column(2570) str1 ds1m11u1 %1s "IA: Recd 1st Disability inc - Nov 2000" _column(2571) str1 ds1m12u1 %1s "IA: Recd 1st Disability inc - Dec 2000" _column(2572) str2 ds1mtu1 %2s "IA: Tot mths rec'd 1st Disab inc-2000" _column(2574) long disva2t1 %7f "IA: Disability income source: Amount 2" _column(2581) str1 ds2m01u1 %1s "IA: Recd 2nd Disability inc - Jan 2000" _column(2582) str1 ds2m02u1 %1s "IA: Recd 2nd Disability inc - Feb 2000" _column(2583) str1 ds2m03u1 %1s "IA: Recd 2nd Disability inc - Mar 2000" _column(2584) str1 ds2m04u1 %1s "IA: Recd 2nd Disability inc - Apr 2000" _column(2585) str1 ds2m05u1 %1s "IA: Recd 2nd Disability inc - May 2000" _column(2586) str1 ds2m06u1 %1s "IA: Recd 2nd Disability inc - Jun 2000" _column(2587) str1 ds2m07u1 %1s "IA: Recd 2nd Disability inc - Jul 2000" _column(2588) str1 ds2m08u1 %1s "IA: Recd 2nd Disability inc - Aug 2000" _column(2589) str1 ds2m09u1 %1s "IA: Recd 2nd Disability inc - Sep 2000" _column(2590) str1 ds2m10u1 %1s "IA: Recd 2nd Disability inc - Oct 2000" _column(2591) str1 ds2m11u1 %1s "IA: Recd 2nd Disability inc - Nov 2000" _column(2592) str1 ds2m12u1 %1s "IA: Recd 2nd Disability inc - Dec 2000" _column(2593) str2 ds2mtu1 %2s "IA: Tot mths rec'd 2nd Disab inc-2000" _column(2595) long retva1t1 %7f "IA: Retirement income: Amount 1" _column(2602) str1 rt1m01u1 %1s "IA: Recd 1st Retirement inc - Jan 2000" _column(2603) str1 rt1m02u1 %1s "IA: Recd 1st Retirement inc - Feb 2000" _column(2604) str1 rt1m03u1 %1s "IA: Recd 1st Retirement inc - Mar 2000" _column(2605) str1 rt1m04u1 %1s "IA: Recd 1st Retirement inc - Apr 2000" _column(2606) str1 rt1m05u1 %1s "IA: Recd 1st Retirement inc - May 2000" _column(2607) str1 rt1m06u1 %1s "IA: Recd 1st Retirement inc - Jun 2000" _column(2608) str1 rt1m07u1 %1s "IA: Recd 1st Retirement inc - Jul 2000" _column(2609) str1 rt1m08u1 %1s "IA: Recd 1st Retirement inc - Aug 2000" _column(2610) str1 rt1m09u1 %1s "IA: Recd 1st Retirement inc - Sep 2000" _column(2611) str1 rt1m10u1 %1s "IA: Recd 1st Retirement inc - Oct 2000" _column(2612) str1 rt1m11u1 %1s "IA: Recd 1st Retirement inc - Nov 2000" _column(2613) str1 rt1m12u1 %1s "IA: Recd 1st Retirement inc - Dec 2000" _column(2614) str2 rt1mtu1 %2s "IA: Tot mnths rec'd 1st Retire inc-200" _column(2616) long retva2t1 %7f "IA: Retirement income: Amount 2" _column(2623) str1 rt2m01u1 %1s "IA: Recd 2nd Retirement inc - Jan 2000" _column(2624) str1 rt2m02u1 %1s "IA: Recd 2nd Retirement inc - Feb 2000" *#_column(2625) str1 rt2m03u1 %1s "IA: Recd 2nd Retirement inc - Mar 2000" *#_column(2626) str1 rt2m04u1 %1s "IA: Recd 2nd Retirement inc - Apr 2000" *#_column(2627) str1 rt2m05u1 %1s "IA: Recd 2nd Retirement inc - May 2000" *#_column(2628) str1 rt2m06u1 %1s "IA: Recd 2nd Retirement inc - Jun 2000" *#_column(2629) str1 rt2m07u1 %1s "IA: Recd 2nd Retirement inc - Jul 2000" *#_column(2630) str1 rt2m08u1 %1s "IA: Recd 2nd Retirement inc - Aug 2000" *#_column(2631) str1 rt2m09u1 %1s "IA: Recd 2nd Retirement inc - Sep 2000" *#_column(2632) str1 rt2m10u1 %1s "IA: Recd 2nd Retirement inc - Oct 2000" *#_column(2633) str1 rt2m11u1 %1s "IA: Recd 2nd Retirement inc - Nov 2000" *#_column(2634) str1 rt2m12u1 %1s "IA: Recd 2nd Retirement inc - Dec 2000" *#_column(2635) str2 rt2mtu1 %2s "IA: Tot mths rec'd 2nd Retire inc-2000" *#_column(2637) long q446t1 %7f "IA: Avg amt in jnt accts held w/spouse" *#_column(2644) long q449t1 %7f "IA: Avg amt in interest accts- own nam" *#_column(2651) long q456t1 %7f "IA: Avg amt in mut-fund/stock w/spouse" *#_column(2658) long q459t1 %7f "IA: Avg amt mut fund/stock- own name" *#_column(2665) long intvalt1 %7f "IA: Interest income: Total amount" *#_column(2672) long divvalt1 %7f "IA: Dividend income: amount" *#_column(2679) long rntvalt1 %7f "IA: Rental income: Total rental amount" *#_column(2686) long royvalt1 %7f "IA: Royalties: Total amount rec'd" *#_column(2693) long trstvat1 %7f "IA: Trust Income: Total amount rec'd" *#_column(2700) long almvalt1 %7f "IA: Alimony: Total amount rec'd" *#_column(2707) str1 almm01u1 %1s "IA: Rec'd alimony payment - Jan 2000" *#_column(2708) str1 almm02u1 %1s "IA: Rec'd alimony payment - Feb 2000" *#_column(2709) str1 almm03u1 %1s "IA: Rec'd alimony payment - Mar 2000" *#_column(2710) str1 almm04u1 %1s "IA: Rec'd alimony payment - Apr 2000" *#_column(2711) str1 almm05u1 %1s "IA: Rec'd alimony payment - May 2000" *#_column(2712) str1 almm06u1 %1s "IA: Rec'd alimony payment - Jun 2000" *#_column(2713) str1 almm07u1 %1s "IA: Rec'd alimony payment - Jul 2000" *#_column(2714) str1 almm08u1 %1s "IA: Rec'd alimony payment - Aug 2000" *#_column(2715) str1 almm09u1 %1s "IA: Rec'd alimony payment - Sep 2000" *#_column(2716) str1 almm10u1 %1s "IA: Rec'd alimony payment - Oct 2000" *#_column(2717) str1 almm11u1 %1s "IA: Rec'd alimony payment - Nov 2000" *#_column(2718) str1 almm12u1 %1s "IA: Rec'd alimony payment - Dec 2000" *#_column(2719) str2 almmtu1 %2s "IA: Tot mths rec'd alimony pay-2000" *#_column(2721) str1 cspperu1 %1s "IA: Child suprt: Rprt wk/mnth/annual" *#_column(2722) long cspvalt1 %7f "IA: Child support: Total amount" *#_column(2729) str1 csw01u1 %1s "IA: Recd child support in 2000-week 01" *#_column(2730) str1 csw02u1 %1s "IA: Recd child support in 2000-week 02" *#_column(2731) str1 csw03u1 %1s "IA: Recd child support in 2000-week 03" *#_column(2732) str1 csw04u1 %1s "IA: Recd child support in 2000-week 04" *#_column(2733) str1 csw05u1 %1s "IA: Recd child support in 2000-week 05" *#_column(2734) str1 csw06u1 %1s "IA: Recd child support in 2000-week 06" *#_column(2735) str1 csw07u1 %1s "IA: Recd child support in 2000-week 07" *#_column(2736) str1 csw08u1 %1s "IA: Recd child support in 2000-week 08" *#_column(2737) str1 csw09u1 %1s "IA: Recd child support in 2000-week 09" *#_column(2738) str1 csw10u1 %1s "IA: Recd child support in 2000-week 10" *#_column(2739) str1 csw11u1 %1s "IA: Recd child support in 2000-week 11" *#_column(2740) str1 csw12u1 %1s "IA: Recd child support in 2000-week 12" *#_column(2741) str1 csw13u1 %1s "IA: Recd child support in 2000-week 13" *#_column(2742) str1 csw14u1 %1s "IA: Recd child support in 2000-week 14" *#_column(2743) str1 csw15u1 %1s "IA: Recd child support in 2000-week 15" *#_column(2744) str1 csw16u1 %1s "IA: Recd child support in 2000-week 16" *#_column(2745) str1 csw17u1 %1s "IA: Recd child support in 2000-week 17" *#_column(2746) str1 csw18u1 %1s "IA: Recd child support in 2000-week 18" *#_column(2747) str1 csw19u1 %1s "IA: Recd child support in 2000-week 19" *#_column(2748) str1 csw20u1 %1s "IA: Recd child support in 2000-week 20" *#_column(2749) str1 csw21u1 %1s "IA: Recd child support in 2000-week 21" *#_column(2750) str1 csw22u1 %1s "IA: Recd child support in 2000-week 22" *#_column(2751) str1 csw23u1 %1s "IA: Recd child support in 2000-week 23" *#_column(2752) str1 csw24u1 %1s "IA: Recd child support in 2000-week 24" *#_column(2753) str1 csw25u1 %1s "IA: Recd child support in 2000-week 25" *#_column(2754) str1 csw26u1 %1s "IA: Recd child support in 2000-week 26" *#_column(2755) str1 csw27u1 %1s "IA: Recd child support in 2000-week 27" *#_column(2756) str1 csw28u1 %1s "IA: Recd child support in 2000-week 28" *#_column(2757) str1 csw29u1 %1s "IA: Recd child support in 2000-week 29" *#_column(2758) str1 csw30u1 %1s "IA: Recd child support in 2000-week 30" *#_column(2759) str1 csw31u1 %1s "IA: Recd child support in 2000-week 31" *#_column(2760) str1 csw32u1 %1s "IA: Recd child support in 2000-week 32" *#_column(2761) str1 csw33u1 %1s "IA: Recd child support in 2000-week 33" *#_column(2762) str1 csw34u1 %1s "IA: Recd child support in 2000-week 34" *#_column(2763) str1 csw35u1 %1s "IA: Recd child support in 2000-week 35" *#_column(2764) str1 csw36u1 %1s "IA: Recd child support in 2000-week 36" *#_column(2765) str1 csw37u1 %1s "IA: Recd child support in 2000-week 37" *#_column(2766) str1 csw38u1 %1s "IA: Recd child support in 2000-week 38" *#_column(2767) str1 csw39u1 %1s "IA: Recd child support in 2000-week 39" *#_column(2768) str1 csw40u1 %1s "IA: Recd child support in 2000-week 40" *#_column(2769) str1 csw41u1 %1s "IA: Recd child support in 2000-week 41" *#_column(2770) str1 csw42u1 %1s "IA: Recd child support in 2000-week 42" *#_column(2771) str1 csw43u1 %1s "IA: Recd child support in 2000-week 43" *#_column(2772) str1 csw44u1 %1s "IA: Recd child support in 2000-week 44" *#_column(2773) str1 csw45u1 %1s "IA: Recd child support in 2000-week 45" *#_column(2774) str1 csw46u1 %1s "IA: Recd child support in 2000-week 46" *#_column(2775) str1 csw47u1 %1s "IA: Recd child support in 2000-week 47" *#_column(2776) str1 csw48u1 %1s "IA: Recd child support in 2000-week 48" *#_column(2777) str1 csw49u1 %1s "IA: Recd child support in 2000-week 49" *#_column(2778) str1 csw50u1 %1s "IA: Recd child support in 2000-week 50" *#_column(2779) str1 csw51u1 %1s "IA: Recd child support in 2000-week 51" *#_column(2780) str1 csw52u1 %1s "IA: Recd child support in 2000-week 52" *#_column(2781) str2 cswsu1 %2s "IA: Tot weeks rec'd child support-2000" *#_column(2783) str1 csm01u1 %1s "IA: Mth rec'd child support - Jan 2000" *#_column(2784) str1 csm02u1 %1s "IA: Mth rec'd child support - Feb 2000" *#_column(2785) str1 csm03u1 %1s "IA: Mth rec'd child support - Mar 2000" *#_column(2786) str1 csm04u1 %1s "IA: Mth rec'd child support - Apr 2000" *#_column(2787) str1 csm05u1 %1s "IA: Mth rec'd child support - May 2000" *#_column(2788) str1 csm06u1 %1s "IA: Mth rec'd child support - Jun 2000" *#_column(2789) str1 csm07u1 %1s "IA: Mth rec'd child support - Jul 2000" *#_column(2790) str1 csm08u1 %1s "IA: Mth rec'd child support - Aug 2000" *#_column(2791) str1 csm09u1 %1s "IA: Mth rec'd child support - Sep 2000" *#_column(2792) str1 csm10u1 %1s "IA: Mth rec'd child support - Oct 2000" *#_column(2793) str1 csm11u1 %1s "IA: Mth rec'd child support - Nov 2000" *#_column(2794) str1 csm12u1 %1s "IA: Mth rec'd child support - Dec 2000" *#_column(2795) str2 csmtu1 %2s "IA: Tot mths rec'd Child Support-2000" *#_column(2797) long finvalt1 %7f "IA: Financial assistance: amount" *#_column(2804) str1 fam01u1 %1s "IA: Rec'd financial assist - Jan 2000" *#_column(2805) str1 fam02u1 %1s "IA: Rec'd financial assist - Feb 2000" *#_column(2806) str1 fam03u1 %1s "IA: Rec'd financial assist - Mar 2000" *#_column(2807) str1 fam04u1 %1s "IA: Rec'd financial assist - Apr 2000" *#_column(2808) str1 fam05u1 %1s "IA: Rec'd financial assist - May 2000" *#_column(2809) str1 fam06u1 %1s "IA: Rec'd financial assist - Jun 2000" *#_column(2810) str1 fam07u1 %1s "IA: Rec'd financial assist - Jul 2000" *#_column(2811) str1 fam08u1 %1s "IA: Rec'd financial assist - Aug 2000" *#_column(2812) str1 fam09u1 %1s "IA: Rec'd financial assist - Sep 2000" *#_column(2813) str1 fam10u1 %1s "IA: Rec'd financial assist - Oct 2000" *#_column(2814) str1 fam11u1 %1s "IA: Rec'd financial assist - Nov 2000" *#_column(2815) str1 fam12u1 %1s "IA: Rec'd financial assist - Dec 2000" *#_column(2816) str2 famtu1 %2s "IA: Tot mths rec'd financial assist-20" *#_column(2818) long ngvalt1 %7f "IA: Other (Nat'l Guard) Income: amt" *#_column(2825) str1 ngm01u1 %1s "IA: Rec'd Nat Guard/Res pay - Jan 2000" *#_column(2826) str1 ngm02u1 %1s "IA: Rec'd Nat Guard/Res pay - Feb 2000" *#_column(2827) str1 ngm03u1 %1s "IA: Rec'd Nat Guard/Res pay - Mar 2000" *#_column(2828) str1 ngm04u1 %1s "IA: Rec'd Nat Guard/Res pay - Apr 2000" *#_column(2829) str1 ngm05u1 %1s "IA: Rec'd Nat Guard/Res pay - May 2000" *#_column(2830) str1 ngm06u1 %1s "IA: Rec'd Nat Guard/Res pay - Jun 2000" *#_column(2831) str1 ngm07u1 %1s "IA: Rec'd Nat Guard/Res pay - Jul 2000" *#_column(2832) str1 ngm08u1 %1s "IA: Rec'd Nat Guard/Res pay - Aug 2000" *#_column(2833) str1 ngm09u1 %1s "IA: Rec'd Nat Guard/Res pay - Sep 2000" *#_column(2834) str1 ngm10u1 %1s "IA: Rec'd Nat Guard/Res pay - Oct 2000" *#_column(2835) str1 ngm11u1 %1s "IA: Rec'd Nat Guard/Res pay - Nov 2000" *#_column(2836) str1 ngm12u1 %1s "IA: Rec'd Nat Guard/Res pay - Dec 2000" *#_column(2837) str2 ngmtu1 %2s "IA: Tot mths rec'd Nat Guard/Res pay" *#_column(2839) long cervalt1 %7f "IA: Other income: (Side bus/hobby) amt" *#_column(2846) str1 cerm01u1 %1s "IA: Recd inc side bus/hobby - Jan 2000" *#_column(2847) str1 cerm02u1 %1s "IA: Recd inc side bus/hobby - Feb 2000" *#_column(2848) str1 cerm03u1 %1s "IA: Recd inc side bus/hobby - Mar 2000" *#_column(2849) str1 cerm04u1 %1s "IA: Recd inc side bus/hobby - Apr 2000" *#_column(2850) str1 cerm05u1 %1s "IA: Recd inc side bus/hobby - May 2000" *#_column(2851) str1 cerm06u1 %1s "IA: Recd inc side bus/hobby - Jun 2000" *#_column(2852) str1 cerm07u1 %1s "IA: Recd inc side bus/hobby - Jul 2000" *#_column(2853) str1 cerm08u1 %1s "IA: Recd inc side bus/hobby - Aug 2000" *#_column(2854) str1 cerm09u1 %1s "IA: Recd inc side bus/hobby - Sep 2000" *#_column(2855) str1 cerm10u1 %1s "IA: Recd inc side bus/hobby - Oct 2000" *#_column(2856) str1 cerm11u1 %1s "IA: Recd inc side bus/hobby - Nov 2000" *#_column(2857) str1 cerm12u1 %1s "IA: Recd inc side bus/hobby - Dec 2000" *#_column(2858) str2 cermsu1 %2s "IA: Tot mths recd side bus/hobby-2000" *#_column(2860) long frmvalt1 %7f "IA: Other income: Farm income amount" *#_column(2867) str1 fm01u1 %1s "IA: Rec'd income from farm - Jan 2000" *#_column(2868) str1 fm02u1 %1s "IA: Rec'd income from farm - Feb 2000" *#_column(2869) str1 fm03u1 %1s "IA: Rec'd income from farm - Mar 2000" *#_column(2870) str1 fm04u1 %1s "IA: Rec'd income from farm - Apr 2000" *#_column(2871) str1 fm05u1 %1s "IA: Rec'd income from farm - May 2000" *#_column(2872) str1 fm06u1 %1s "IA: Rec'd income from farm - Jun 2000" *#_column(2873) str1 fm07u1 %1s "IA: Rec'd income from farm - Jul 2000" *#_column(2874) str1 fm08u1 %1s "IA: Rec'd income from farm - Aug 2000" *#_column(2875) str1 fm09u1 %1s "IA: Rec'd income from farm - Sep 2000" *#_column(2876) str1 fm10u1 %1s "IA: Rec'd income from farm - Oct 2000" *#_column(2877) str1 fm11u1 %1s "IA: Rec'd income from farm - Nov 2000" *#_column(2878) str1 fm12u1 %1s "IA: Rec'd income from farm - Dec 2000" *#_column(2879) str2 fmtu1 %2s "IA: Tot mths rec'd inc from farm-2000" *#_column(2881) long lmpvalt1 %7f "IA: Other income: Lump sum payment amt" *#_column(2888) long chrvalt1 %7f "IA: Other income: Charity income amt" *#_column(2895) str1 chr01u1 %1s "IA: Rec'd inc from charity - Jan 2000" *#_column(2896) str1 chr02u1 %1s "IA: Rec'd inc from charity - Feb 2000" *#_column(2897) str1 chr03u1 %1s "IA: Rec'd inc from charity - Mar 2000" *#_column(2898) str1 chr04u1 %1s "IA: Rec'd inc from charity - Apr 2000" *#_column(2899) str1 chr05u1 %1s "IA: Rec'd inc from charity - May 2000" *#_column(2900) str1 chr06u1 %1s "IA: Rec'd inc from charity - Jun 2000" *#_column(2901) str1 chr07u1 %1s "IA: Rec'd inc from charity - Jul 2000" *#_column(2902) str1 chr08u1 %1s "IA: Rec'd inc from charity - Aug 2000" *#_column(2903) str1 chr09u1 %1s "IA: Rec'd inc from charity - Sep 2000" *#_column(2904) str1 chr10u1 %1s "IA: Rec'd inc from charity - Oct 2000" *#_column(2905) str1 chr11u1 %1s "IA: Rec'd inc from charity - Nov 2000" *#_column(2906) str1 chr12u1 %1s "IA: Rec'd inc from charity - Dec 2000" *#_column(2907) str2 chrsu1 %2s "IA: Tot mths rec inc from charity-2000" *#_column(2909) long otvalt1 %7f "IA: Other income: amount" *#_column(2916) str1 app1u1 %1s "PP: Application to rec oth govt Assist" *#_column(2917) str1 app2bu1 %1s "PP: Apply: Cash assist-children/fam" *#_column(2918) str1 app2cu1 %1s "PP: Apply: Supplemental Security Inc" *#_column(2919) str1 app2du1 %1s "PP: Apply: Food Stamps" *#_column(2920) str1 app2eu1 %1s "PP: Apply: WIC" *#_column(2921) str1 app2fu1 %1s "PP: Apply: Unemployment Compensation" *#_column(2922) str1 app2gu1 %1s "PP: Apply: Public Housing/rental inc" *#_column(2923) str1 app2hu1 %1s "PP: Apply: Energy assistance" *#_column(2924) str1 app2iu1 %1s "PP: Apply: Education or training" *#_column(2925) str1 app2ju1 %1s "PP: Apply: Child care assist" *#_column(2926) str1 app2ku1 %1s "PP: Apply: Transportation assist" *#_column(2927) str1 app2lu1 %1s "PP: Apply: School meals" *#_column(2928) str1 app2mu1 %1s "PP: Apply: Other" *#_column(2929) str1 apsta1u1 %1s "PP: App stat-approved/denied/pending-1" *#_column(2930) str1 apapr1u1 %1s "PP: Why didn't person rec benefits-1" *#_column(2931) str1 apdnb1u1 %1s "PP: Not elig-inc/oth resources high-1" *#_column(2932) str1 apdnc1u1 %1s "PP: Not elig-penalty, prev prog part-1" *#_column(2933) str1 apdnd1u1 %1s "PP: Not elig-didn't meet hlth/dis req-" *#_column(2934) str1 apdne1u1 %1s "PP: Not elig-immigration status-1" *#_column(2935) str1 apdnf1u1 %1s "PP: Not elig-no reason specified-1" *#_column(2936) str1 apdng1u1 %1s "PP: Didn't provide all info requested-" *#_column(2937) str1 apdnh1u1 %1s "PP: Non-coop with work requirements-1" *#_column(2938) str1 apdni1u1 %1s "PP: Non-coop with child sup requirmts-" *#_column(2939) str1 apdnj1u1 %1s "PP: Not residing in adult-superv hhld-" *#_column(2940) str1 apdnk1u1 %1s "PP: Fail substance abuse requirements-" *#_column(2941) str1 apdnl1u1 %1s "PP: Had already rec'd maximum assist-1" *#_column(2942) str1 apdnm1u1 %1s "PP: Lack of program funding-1" *#_column(2943) str1 apdnn1u1 %1s "PP: Other reason-1" *#_column(2944) str1 apsta2u1 %1s "PP: App stat-approved/denied/pending-2" *#_column(2945) str1 apapr2u1 %1s "PP: Why didn't person rec benefits-2" *#_column(2946) str1 apdnb2u1 %1s "PP: Not elig-inc/oth resources high-2" *#_column(2947) str1 apdnc2u1 %1s "PP: Not elig-penalty, prev prog part-2" *#_column(2948) str1 apdnd2u1 %1s "PP: Not elig-didn't meet hlth/dis req-" *#_column(2949) str1 apdne2u1 %1s "PP: Not elig-immigration status-2" *#_column(2950) str1 apdnf2u1 %1s "PP: Not elig-no reason specified-2" *#_column(2951) str1 apdng2u1 %1s "PP: Didn't provide all info requested-" *#_column(2952) str1 apdnh2u1 %1s "PP: Non-coop with work requirements-2" *#_column(2953) str1 apdni2u1 %1s "PP: Non-coop with child sup requirmts-" *#_column(2954) str1 apdnj2u1 %1s "PP: Not residing in adult-superv hhld-" *#_column(2955) str1 apdnk2u1 %1s "PP: Fail substance abuse requirements-" *#_column(2956) str1 apdnl2u1 %1s "PP: Had already rec'd maximum assist-2" *#_column(2957) str1 apdnm2u1 %1s "PP: Lack of program funding-2" *#_column(2958) str1 apdnn2u1 %1s "PP: Other reason-2" *#_column(2959) str1 apsta3u1 %1s "PP: App stat-approved/denied/pending-3" *#_column(2960) str1 apapr3u1 %1s "PP: Why didn't person rec benefits-3" *#_column(2961) str1 apdnb3u1 %1s "PP: Not elig-inc/oth resources high-3" *#_column(2962) str1 apdnc3u1 %1s "PP: Not elig-penalty, prev prog part-3" *#_column(2963) str1 apdnd3u1 %1s "PP: Not elig-didn't meet hlth/dis req-" *#_column(2964) str1 apdne3u1 %1s "PP: Not elig-immigration status-3" *#_column(2965) str1 apdnf3u1 %1s "PP: Not elig-no reason specified-3" *#_column(2966) str1 apdng3u1 %1s "PP: Didn't provide all info requested-" *#_column(2967) str1 apdnh3u1 %1s "PP: Non-coop with work requirements-3" *#_column(2968) str1 apdni3u1 %1s "PP: Non-coop with child sup requirmts-" *#_column(2969) str1 apdnj3u1 %1s "PP: Not residing in adult-superv hhld-" *#_column(2970) str1 apdnk3u1 %1s "PP: Fail substance abuse requirements-" *#_column(2971) str1 apdnl3u1 %1s "PP: Had already rec'd maximum assist-3" *#_column(2972) str1 apdnm3u1 %1s "PP: Lack of program funding-3" *#_column(2973) str1 apdnn3u1 %1s "PP: Other reason-3" *#_column(2974) str1 pubtryu1 %1s "TR: Public transportation in area" *#_column(2975) str1 usepubu1 %1s "TR: Use pub trans once/week" *#_column(2976) str2 modewku1 %2s "TR: Mode to work (usually)" *#_column(2978) int tranexr1 %4f "TR: Weekly expend. on commuting" *#_column(2982) str1 qjobynu1 %1s "TR: Quit job due to transp problems" *#_column(2983) str1 qscholu1 %1s "TR: Quit trng/school-transp problems" *#_column(2984) str1 nostrtu1 %1s "TR: No start job b/c trans. probs." *#_column(2985) str1 noschtu1 %1s "TR: No start train b/c trans. probs." *#_column(2986) str1 enrollu1 %1s "ED: Enrolled in school since June 2000" *#_column(2987) str1 inmn06u1 %1s "ED: Enrolled in school - June 2000" *#_column(2988) str1 inmn07u1 %1s "ED: Enrolled in school - July 2000" *#_column(2989) str1 inmn08u1 %1s "ED: Enrolled in school - Aug 2000" *#_column(2990) str1 inmn09u1 %1s "ED: Enrolled in school - Sep 2000" *#_column(2991) str1 inmn10u1 %1s "ED: Enrolled in school - Oct 2000" *#_column(2992) str1 inmn11u1 %1s "ED: Enrolled in school - Nov 2000" *#_column(2993) str1 inmn12u1 %1s "ED: Enrolled in school - Dec 2000" *#_column(2994) str1 inmn13u1 %1s "ED: Enrolled in school - Jan 2001" *#_column(2995) str1 inmn14u1 %1s "ED: Enrolled in school - Feb 2001" *#_column(2996) str1 inmn15u1 %1s "ED: Enrolled in school - Mar 2001" *#_column(2997) str1 inmn16u1 %1s "ED: Enrolled in school - Apr 2001" *#_column(2998) str1 inmn17u1 %1s "ED: Enrolled in school - May 2001" *#_column(2999) str1 hscollu1 %1s "ED: Enroll high school/college/voc" *#_column(3000) str1 levelau1 %1s "ED: Detailed level enrolled- HS" *#_column(3001) str1 levelbu1 %1s "ED: Detailed level enrolled- College" *#_column(3002) str1 reasonu1 %1s "ED: Reason enrolled in school" *#_column(3003) str1 edaidu1 %1s "ED: Whether received aid for school" *#_column(3004) str1 edty01u1 %1s "ED: School finance: Federal PELL Grant" *#_column(3005) str1 edty02u1 %1s "ED: School finance: Veteran's Affairs" *#_column(3006) str1 edty03u1 %1s "ED: School finance: Work Study Program" *#_column(3007) str1 edty04u1 %1s "ED: School finance: Other Fed grant" *#_column(3008) str1 edty05u1 %1s "ED: School fin:State grant/schlarship" *#_column(3009) str1 edty06u1 %1s "ED: School finance: Aid from school" *#_column(3010) str1 edty07u1 %1s "ED: School finance:Teach/reserch asst" *#_column(3011) str1 edty08u1 %1s "ED: School finance: Oth grnt/schlrshp" *#_column(3012) str1 edty09u1 %1s "ED: School finance: Employer assist" *#_column(3013) str1 edty10u1 %1s "ED: School finance: Loan to be repaid" *#_column(3014) str1 edty11u1 %1s "ED: School finance:Welfare/soc service" *#_column(3015) str1 edty12u1 %1s "ED: School finance: Other source" *#_column(3016) long amtexpt1 %5f "ED: Amt paid for school expenses" *#_column(3021) str1 wtgedu1 %1s "WT: Attend GED classes" *#_column(3022) str1 wtreq1u1 %1s "WT: Reason attended GED classes" *#_column(3023) str1 wtskilu1 %1s "WT: Attend training for job skill" *#_column(3024) str1 wtrainu1 %1s "WT: Got training to imprve job skills" *#_column(3025) str1 wtreq4u1 %1s "WT: Reason attended job training" *#_column(3026) str1 wttyp1u1 %1s "WT: Classroom training in job skills" *#_column(3027) str1 wttyp2u1 %1s "WT: On the job training" *#_column(3028) str1 wttyp3u1 %1s "WT: Work experience training" *#_column(3029) str1 wttyp4u1 %1s "WT: Other work training provided" *#_column(3030) str1 wtlen1u1 %1s "WT: Length of most recent training" *#_column(3031) str1 wtlen2u1 %1s "WT: Expected length of training" *#_column(3032) str1 wtsearu1 %1s "WT: Help looking for job" *#_column(3033) str1 wtredyu1 %1s "WT: Attended job readiness training" *#_column(3034) str1 wtrq13u1 %1s "WT: Attend readiness: req/chose/both" *#_column(3035) str1 wtunpu1 %1s "WT: In work experience program" *#_column(3036) str1 wtuseu1 %1s "WT: Did training help find job" *#_column(3037) str1 wtwchu1 %1s "WT: What helped find job" *#_column(3038) str1 q850u1 %1s "SA: Most drinks in a single day" *#_column(3039) str1 q851au1 %1s "SA: Did drinking interfere with work" *#_column(3040) str1 q851bu1 %1s "SA: Freq of drinking interf. w/work" *#_column(3041) str1 q852au1 %1s "SA: Influence of alcohol-bad situation" *#_column(3042) str1 q852bu1 %1s "SA: Social/psych prob from alcohol" *#_column(3043) str1 q852cu1 %1s "SA:Irresistibly strong desire to drink" *#_column(3044) str1 q852du1 %1s "SA: Excessive time drinking/recover'g" *#_column(3045) str1 q852eu1 %1s "SA: More to drink than intended" *#_column(3046) str1 q852fu1 %1s "SA: Freq-more to drink than intended" *#_column(3047) str1 q853u1 %1s "SA: Had to drk more to get same effect" *#_column(3048) str1 q855au1 %1s "SA: Use of sedatives - on your own" *#_column(3049) str1 q855bu1 %1s "SA: Use of tranquilizers or nerve pill" *#_column(3050) str1 q855cu1 %1s "SA: Use of amphetamines or stimulants" *#_column(3051) str1 q855du1 %1s "SA: Use of analgesics/RX painkillers" *#_column(3052) str1 q855eu1 %1s "SA: Use of inhalants to get high" *#_column(3053) str1 q855fu1 %1s "SA: Use of marijuana or harshish" *#_column(3054) str1 q855gu1 %1s "SA: Use of cocaine, crack or free base" *#_column(3055) str1 q855hu1 %1s "SA: Use of LSD or hallucinogens" *#_column(3056) str1 q855iu1 %1s "SA: Use of heroin" *#_column(3057) str1 q856au1 %1s "SA: Did drug use interfere w/your work" *#_column(3058) str1 q856bu1 %1s "SA: Freq. drug use interf. with work" *#_column(3059) str1 q857au1 %1s "SA: Influence of drugs -bad situation" *#_column(3060) str1 q857bu1 %1s "SA: Social/psych problems from drugs" *#_column(3061) str1 q857cu1 %1s "SA: Irresist. strong desire use drugs" *#_column(3062) str1 q857du1 %1s "SA: Excess. time recover or use drugs" *#_column(3063) str1 q857eu1 %1s "SA: Use drugs more than intended" *#_column(3064) str1 q857fu1 %1s "SA: Freq-more drug use than intended" *#_column(3065) str1 q858u1 %1s "SA: Used more drugs for same effect" *#_column(3066) str1 nhlthu1 %1s "FL: Adult's general health condition" *#_column(3067) str1 lmschlu1 %1s "FL: Limitation to do reg. school work" *#_column(3068) str1 specedu1 %1s "FL: Rec. special education services" *#_column(3069) str1 difseeu1 %1s "FL: Difficulty seeing in newspaper" *#_column(3070) str1 seewdsu1 %1s "FL: Able to see" *#_column(3071) str1 specdsu1 %1s "FL: Use of special aids?" *#_column(3072) str1 typad1u1 %1s "FL: Use a cane?" *#_column(3073) str1 typad2u1 %1s "FL: Use a wheelchair?" *#_column(3074) str1 typad3u1 %1s "FL: Use a walker?" *#_column(3075) str1 typad4u1 %1s "FL: Use crutches?" *#_column(3076) str1 typad5u1 %1s "FL: Use a leg brace?" *#_column(3077) str1 typad6u1 %1s "FL: Use a hearing aid?" *#_column(3078) str1 typad7u1 %1s "FL: Use other aid?" *#_column(3079) str1 dfhearu1 %1s "FL: Difficulty hearing a conversation?" *#_column(3080) str1 hearnmu1 %1s "FL: Able to hear a conversation" *#_column(3081) str1 diflftu1 %1s "FL: Diff. lifting/carrying 10 pound" *#_column(3082) str1 abllifu1 %1s "FL: Able to lift/carry 10 pounds" *#_column(3083) str1 difwlku1 %1s "FL: Difficulty walking a quarter mile" *#_column(3084) str1 wlkallu1 %1s "FL: Able to walk a quarter mile" *#_column(3085) str1 nhbedu1 %1s "FL: Help getting in/out of bed/chair" *#_column(3086) str1 nhbed2u1 %1s "FL: Degree of help with bed" *#_column(3087) str1 nhbathu1 %1s "FL: Help taking a bath/shower" *#_column(3088) str1 nhbth2u1 %1s "FL: Degree of help with bath" *#_column(3089) str1 nhchou1 %1s "FL: Help doing household chores" *#_column(3090) str1 nhcho2u1 %1s "FL: Degree of help with chores" *#_column(3091) str1 nhoutu1 %1s "FL: Help going outside" *#_column(3092) str1 nhout2u1 %1s "FL: Degree of help going outside" *#_column(3093) str1 hostar1 %1s "HC: Hospital stays in 2000" *#_column(3094) str1 hopsycu1 %1s "HC: Psychiatric hosp/unit stays-2000" *#_column(3095) byte hotimr1 %2f "HC: # of overnight hosp visits-2000" *#_column(3097) str1 horea1r1 %1s "HC: Reason Hosp Stay: Child birth" *#_column(3098) str1 horea2r1 %1s "HC: Reason Hosp Stay:Surg/operation" *#_column(3099) str1 horea3r1 %1s "HC: Reason Hosp Stay:Diagnostic tests" *#_column(3100) str1 horea4r1 %1s "HC: Reason Hosp Stay:Mental/emotional" *#_column(3101) str1 horea5r1 %1s "HC: Rea Hosp Stay:Treatmt/thr(not sug)" *#_column(3102) str1 horea6r1 %1s "HC: Reason Hosp Stay:Other medical" *#_column(3103) byte hongtr1 %2f "HC: Length of Hospital stay in 2000" *#_column(3105) str2 drvistu1 %2s "HC: Times see/talk to med doctor/assis" *#_column(3107) str2 drvisku1 %2s "CH: Times CHILD saw medical doctor" *#_column(3109) str2 drtlku1 %2s "CH: Times talk to doc/asst about CLD" *#_column(3111) byte dtvistr1 %2f "HC: Number of dental visits in 2000" *#_column(3113) str1 placer1 %1s "HC: Place to go if sick" *#_column(3114) str1 platypr1 %1s "HC: Kind of place to go if sick" *#_column(3115) str1 mexpynr1 %1s "HC: Medical expenses last month" *#_column(3116) long mexpt1 %6f "HC: Med expenses last month-amount" *#_column(3122) str1 reddrvr1 %1s "HC: Rec'd reduced amt for drs visits" *#_column(3123) str1 mexdynr1 %1s "HC: Prescription med exp last month" *#_column(3124) long mexdt1 %6f "HC: Prescrip med exp last mon-amt" *#_column(3130) str1 mexr1 %1s "HC: Prescrip med reduced rate/free" *#_column(3131) str1 q9500u1 %1s "HI: Coverage non-response" *#_column(3132) str1 q9501u1 %1s "HI: Coverage of emplyr paid plan" *#_column(3133) str1 phdpemu1 %1s "HI: Policyholder/dependent empl. Plan" *#_column(3134) str4 whsempu1 %4s "HI: Policyholder of plan during 2000" *#_column(3138) str1 emppayu1 %1s "HI: Employer pay for all/part/none" *#_column(3139) long empamtt1 %5f "HI: Amt policyholder paid-empl" *#_column(3144) str1 empppdu1 %1s "HI: Periodicity of payment-employer" *#_column(3145) str1 moempu1 %1s "HI: Cov'd all/part year-empl plan" *#_column(3146) str1 ccovemu1 %1s "HI: Currently cov'd by empl. plan" *#_column(3147) str1 moem01u1 %1s "HI: Employer provided plan-Jan 2000" *#_column(3148) str1 moem02u1 %1s "HI: Employer provided plan-Feb 2000" *#_column(3149) str1 moem03u1 %1s "HI: Employer provided plan-Mar 2000" *#_column(3150) str1 moem04u1 %1s "HI: Employer provided plan-Apr 2000" *#_column(3151) str1 moem05u1 %1s "HI: Employer provided plan-May 2000" *#_column(3152) str1 moem06u1 %1s "HI: Employer provided plan-Jun 2000" *#_column(3153) str1 moem07u1 %1s "HI: Employer provided plan-Jul 2000" *#_column(3154) str1 moem08u1 %1s "HI: Employer provided plan-Aug 2000" *#_column(3155) str1 moem09u1 %1s "HI: Employer provided plan-Sep 2000" *#_column(3156) str1 moem10u1 %1s "HI: Employer provided plan-Oct 2000" *#_column(3157) str1 moem11u1 %1s "HI: Employer provided plan-Nov 2000" *#_column(3158) str1 moem12u1 %1s "HI: Employer provided plan-Dec 2000" *#_column(3159) str1 q9502u1 %1s "HI: Coverage by union-provided plan" *#_column(3160) str1 podeunu1 %1s "HI: Polholder union plan during 2000" *#_column(3161) str4 whsuniu1 %4s "HI: Policyholder of plan during 2000" *#_column(3165) str1 unipayu1 %1s "HI: Union pay for all/part/none" *#_column(3166) long uniamtt1 %5f "HI: Policyholder paid how much in 2000" *#_column(3171) str1 unippdu1 %1s "HI: Periodicity of payment-union" *#_column(3172) str1 mouninu1 %1s "HI: Cov'd all/part of 2000-Union plan" *#_column(3173) str1 ccovunu1 %1s "HI: Currently cov'd by union plan" *#_column(3174) str1 moun01u1 %1s "HI: Union-provided plan-Jan 2000" *#_column(3175) str1 moun02u1 %1s "HI: Union-provided plan-Feb 2000" *#_column(3176) str1 moun03u1 %1s "HI: Union-provided plan-Mar 2000" *#_column(3177) str1 moun04u1 %1s "HI: Union-provided plan-Apr 2000" *#_column(3178) str1 moun05u1 %1s "HI: Union-provided plan-May 2000" *#_column(3179) str1 moun06u1 %1s "HI: Union-provided plan-Jun 2000" *#_column(3180) str1 moun07u1 %1s "HI: Union-provided plan-Jul 2000" *#_column(3181) str1 moun08u1 %1s "HI: Union-provided plan-Aug 2000" *#_column(3182) str1 moun09u1 %1s "HI: Union-provided plan-Sep 2000" *#_column(3183) str1 moun10u1 %1s "HI: Union-provided plan-Oct 2000" *#_column(3184) str1 moun11u1 %1s "HI: Union-provided plan-Nov 2000" *#_column(3185) str1 moun12u1 %1s "HI: Union-provided plan-Dec 2000" *#_column(3186) str1 q9503u1 %1s "HI: Cov by plan purchased directly" *#_column(3187) str1 podedpu1 %1s "HI: Plcyhlder/depend direct purch plan" *#_column(3188) str4 whsdiru1 %4s "HI: Plcyhlder dir pur pln during 2000" *#_column(3192) long dpiamtt1 %5f "HI: Policyhlder paid how much in 2000" *#_column(3197) str1 dpippdu1 %1s "HI: Periodicity of payment-direct purc" *#_column(3198) str1 modiru1 %1s "HI: Cov'd all/part/none of year-direct" *#_column(3199) str1 ccovdpu1 %1s "HI: Currently cov'd direct purchase" *#_column(3200) str1 modr01u1 %1s "HI: Cov plan purchs'd direct -Jan. 200" *#_column(3201) str1 modr02u1 %1s "HI: Cov plan purchs'd direct -Feb 2000" *#_column(3202) str1 modr03u1 %1s "HI: Cov plan purchs'd direct-Mar 2000" *#_column(3203) str1 modr04u1 %1s "HI: Cov plan purchs'd direct-Apr 2000" *#_column(3204) str1 modr05u1 %1s "HI: Cov plan purchs'd direct-May 2000" *#_column(3205) str1 modr06u1 %1s "HI: Cov plan purchs'd direct-Jun 2000" *#_column(3206) str1 modr07u1 %1s "HI: Cov plan purchs'd direct-Jul 2000" *#_column(3207) str1 modr08u1 %1s "HI: Cov plan purchs'd direct-Aug 2000" *#_column(3208) str1 modr09u1 %1s "HI: Cov plan purchs'd direct-Sep 2000" *#_column(3209) str1 modr10u1 %1s "HI: Cov plan purchs'd direct-Oct 2000" *#_column(3210) str1 modr11u1 %1s "HI: Cov plan purchs'd direct-Nov 2000" *#_column(3211) str1 modr12u1 %1s "HI: Cov plan purchs'd direct-Dec 2000" *#_column(3212) str1 q9504u1 %1s "HI: Covered by Medicaid/State Plan" *#_column(3213) str1 momcedu1 %1s "HI: Covd all/pt of yr-Medi/State Plan" *#_column(3214) str1 ccovmdu1 %1s "HI: Currently covd by Medi/State Plan" *#_column(3215) str1 mmcd01u1 %1s "HI: Cov'd by Medi/State Plan-Jan 2000" *#_column(3216) str1 mmcd02u1 %1s "HI: Cov'd by Medi/State Plan-Feb 2000" *#_column(3217) str1 mmcd03u1 %1s "HI: Cov'd by Medi/State Plan-Mar 2000" *#_column(3218) str1 mmcd04u1 %1s "HI: Cov'd by Medi/State Plan-Apr 2000" *#_column(3219) str1 mmcd05u1 %1s "HI: Cov'd by Medi/State Plan-May 2000" *#_column(3220) str1 mmcd06u1 %1s "HI: Cov'd by Medi/State Plan-Jun 2000" *#_column(3221) str1 mmcd07u1 %1s "HI: Cov'd by Medi/State Plan-Jul 2000" *#_column(3222) str1 mmcd08u1 %1s "HI: Cov'd by Medi/State Plan-Aug 2000" *#_column(3223) str1 mmcd09u1 %1s "HI: Cov'd by Medi/State Plan-Sep 2000" *#_column(3224) str1 mmcd10u1 %1s "HI: Cov'd by Medi/State Plan-Oct 2000" *#_column(3225) str1 mmcd11u1 %1s "HI: Cov'd by Medi/State Plan-Nov 2000" *#_column(3226) str1 mmcd12u1 %1s "HI: Cov'd by Medi/State Plan-Dec 2000" *#_column(3227) str1 q9504cu1 %1s "HI: Covered by CHIP/State Plan" *#_column(3228) str1 momchpu1 %1s "HI: Covd all/pt of yr CHIP/State Plan" *#_column(3229) str1 ccovchu1 %1s "HI: Currently cov'd by CHIP/State Plan" *#_column(3230) str1 mchp01u1 %1s "HI: Cov'd CHIP/State Plan-Jan 2000" *#_column(3231) str1 mchp02u1 %1s "HI: Cov'd CHIP/State Plan-Feb 2000" *#_column(3232) str1 mchp03u1 %1s "HI: Cov'd CHIP/State Plan-Mar 2000" *#_column(3233) str1 mchp04u1 %1s "HI: Cov'd CHIP/State Plan-Apr 2000" *#_column(3234) str1 mchp05u1 %1s "HI: Cov'd CHIP/State Plan-May 2000" *#_column(3235) str1 mchp06u1 %1s "HI: Cov'd CHIP/State Plan-Jun 2000" *#_column(3236) str1 mchp07u1 %1s "HI: Cov'd CHIP/State Plan-Jul 2000" *#_column(3237) str1 mchp08u1 %1s "HI: Cov'd CHIP/State Plan-Aug 2000" *#_column(3238) str1 mchp09u1 %1s "HI: Cov'd CHIP/State Plan-Sep 2000" *#_column(3239) str1 mchp10u1 %1s "HI: Cov'd CHIP/State Plan-Oct 2000" *#_column(3240) str1 mchp11u1 %1s "HI: Cov'd CHIP/State Plan-Nov 2000" *#_column(3241) str1 mchp12u1 %1s "HI: Cov'd CHIP/State Plan-Dec 2000" *#_column(3242) str1 q9505u1 %1s "HI: Covered by Medicare/State Plan" *#_column(3243) str1 momcru1 %1s "HI: Cov'd all/pt of yr-Medicare Plan" *#_column(3244) str1 ccovmeu1 %1s "HI: Currently covd Medicare/State Plan" *#_column(3245) str1 mmcr01u1 %1s "HI: Covd Medicare/State Pln-Jan 2000" *#_column(3246) str1 mmcr02u1 %1s "HI: Covd Medicare/State Pln-Feb 2000" *#_column(3247) str1 mmcr03u1 %1s "HI: Covd Medicare/State Pln-Mar 2000" *#_column(3248) str1 mmcr04u1 %1s "HI: Covd Medicare/State Pln-Apr 2000" *#_column(3249) str1 mmcr05u1 %1s "HI: Covd Medicare/State Pln-May 2000" *#_column(3250) str1 mmcr06u1 %1s "HI: Covd Medicare/State Pln-Jun 2000" *#_column(3251) str1 mmcr07u1 %1s "HI: Covd Medicare/State Pln-Jul 2000" *#_column(3252) str1 mmcr08u1 %1s "HI: Covd Medicare/State Pln-Aug 2000" *#_column(3253) str1 mmcr09u1 %1s "HI: Covd Medicare/State Pln-Sep 2000" *#_column(3254) str1 mmcr10u1 %1s "HI: Covd Medicare/State Pln-Oct 2000" *#_column(3255) str1 mmcr11u1 %1s "HI: Covd Medicare/State Pln-Nov 2000" *#_column(3256) str1 mmcr12u1 %1s "HI: Covd Medicare/State Pln-Dec 2000" *#_column(3257) str1 q9506u1 %1s "HI: Covd by TRIC/CHMP/CHMPVA/Mil" *#_column(3258) str1 mochmpu1 %1s "HI: Cov all/pt of yr-TRC/CHP/CHPVA/Mil" *#_column(3259) str1 ccovtcu1 %1s "HI: Curr. covd:TRI/CHP/CHPVA/Mil" *#_column(3260) str1 mocp01u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Jan 2000" *#_column(3261) str1 mocp02u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Feb 2000" *#_column(3262) str1 mocp03u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Mar 2000" *#_column(3263) str1 mocp04u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Apr 2000" *#_column(3264) str1 mocp05u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-May 2000" *#_column(3265) str1 mocp06u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Jun 2000" *#_column(3266) str1 mocp07u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Jul 2000" *#_column(3267) str1 mocp08u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Aug 2000" *#_column(3268) str1 mocp09u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Sep 2000" *#_column(3269) str1 mocp10u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Oct 2000" *#_column(3270) str1 mocp11u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Nov 2000" *#_column(3271) str1 mocp12u1 %1s "HI: Covd by TRI/CHP/CHPVA/Mil-Dec 2000" *#_column(3272) str1 q9507u1 %1s "HI: Covered by Indian Health Service" *#_column(3273) str1 momishu1 %1s "HI: Covd all/pt of yr-Ind Hlth Serv" *#_column(3274) str1 ccovihu1 %1s "HI: Currently covd by Ind Hlth Serv" *#_column(3275) str1 mihs01u1 %1s "HI: Cov'd Indian HS plan-Jan 2000" *#_column(3276) str1 mihs02u1 %1s "HI: Cov'd by Indian HS-Feb 2000" *#_column(3277) str1 mihs03u1 %1s "HI: Cov'd by Indian HS-Mar 2000" *#_column(3278) str1 mihs04u1 %1s "HI: Cov'd by Indian HS-Apr 2000" *#_column(3279) str1 mihs05u1 %1s "HI: Cov'd by Indian HS-May 2000" *#_column(3280) str1 mihs06u1 %1s "HI: Cov'd by Indian HS-Jun 2000" *#_column(3281) str1 mihs07u1 %1s "HI: Cov'd by Indian HS-Jul 2000" *#_column(3282) str1 mihs08u1 %1s "HI: Cov'd by Indian HS-Aug 2000" *#_column(3283) str1 mihs09u1 %1s "HI: Cov'd by Indian HS-Sep 2000" *#_column(3284) str1 mihs10u1 %1s "HI: Cov'd by Indian HS-Oct 2000" *#_column(3285) str1 mihs11u1 %1s "HI: Cov'd by Indian HS-Nov 2000" *#_column(3286) str1 mihs12u1 %1s "HI: Cov'd by Indian HS-Dec 2000" *#_column(3287) str1 q9508u1 %1s "HI: Coverage by State plan" *#_column(3288) str1 momstau1 %1s "HI: Covered all/part of year-State Pla" *#_column(3289) str1 ccovstu1 %1s "HI: Currently cov'd by State plan" *#_column(3290) str1 mst01u1 %1s "HI: Cov'd by State plan- Jan 2000" *#_column(3291) str1 mst02u1 %1s "HI: Cov'd by State Plan-Feb 2000" *#_column(3292) str1 mst03u1 %1s "HI: Cov'd by State Plan-Mar 2000" *#_column(3293) str1 mst04u1 %1s "HI: Cov'd by State Plan-Apr 2000" *#_column(3294) str1 mst05u1 %1s "HI: Cov'd by State Plan-May 2000" *#_column(3295) str1 mst06u1 %1s "HI: Cov'd by State Plan-Jun 2000" *#_column(3296) str1 mst07u1 %1s "HI: Cov'd by State Plan-Jul 2000" *#_column(3297) str1 mst08u1 %1s "HI: Cov'd by State Plan-Aug 2000" *#_column(3298) str1 mst09u1 %1s "HI: Cov'd by State Plan-Sep 2000" *#_column(3299) str1 mst10u1 %1s "HI: Cov'd by State Plan-Oct 2000" *#_column(3300) str1 mst11u1 %1s "HI: Cov'd by State Plan-Nov 2000" *#_column(3301) str1 mst12u1 %1s "HI: Cov'd by State Plan-Dec 2000" *#_column(3302) str1 q9509u1 %1s "HI: Cov'd by gov't plan not mentioned" *#_column(3303) str1 momogvu1 %1s "HI: Cov'd all/part year-Other Govt" *#_column(3304) str1 ccovogu1 %1s "HI: Currently covd by other gov plan" *#_column(3305) str1 mgv01u1 %1s "HI: Cov'd Other Gov't plan-Jan 2000" *#_column(3306) str1 mgv02u1 %1s "HI: Cov'd Other Gov't plan-Feb 2000" *#_column(3307) str1 mgv03u1 %1s "HI: Cov'd Other Gov't plan-Mar 2000" *#_column(3308) str1 mgv04u1 %1s "HI: Cov'd Other Gov't plan-Apr 2000" *#_column(3309) str1 mgv05u1 %1s "HI: Cov'd Other Gov't plan-May 2000" *#_column(3310) str1 mgv06u1 %1s "HI: Cov'd Other Gov't plan-Jun 2000" *#_column(3311) str1 mgv07u1 %1s "HI: Cov'd Other Gov't plan-Jul 2000" *#_column(3312) str1 mgv08u1 %1s "HI: Cov'd Other Gov't plan-Aug 2000" *#_column(3313) str1 mgv09u1 %1s "HI: Cov'd Other Gov't plan-Sep 2000" *#_column(3314) str1 mgv10u1 %1s "HI: Cov'd Other Gov't plan-Oct 2000" *#_column(3315) str1 mgv11u1 %1s "HI: Cov'd Other Gov't plan-Nov 2000" *#_column(3316) str1 mgv12u1 %1s "HI: Cov'd Other Gov't plan-Dec 2000" *#_column(3317) str1 q95010u1 %1s "HI: Coverage by someone not in the HH" *#_column(3318) str1 moelseu1 %1s "HI: Cov'd all/part year- s/o not in HH" *#_column(3319) str1 ccovnhu1 %1s "HI: Currently cov'd by s/o not in HH" *#_column(3320) str1 mels01u1 %1s "HI: Cov'd Not in HH plan- Jan 2000" *#_column(3321) str1 mels02u1 %1s "HI: Cov'd by s/o not in HH-Feb 2000" *#_column(3322) str1 mels03u1 %1s "HI: Cov'd by s/o not in HH-Mar 2000" *#_column(3323) str1 mels04u1 %1s "HI: Cov'd by s/o not in HH-Apr 2000" *#_column(3324) str1 mels05u1 %1s "HI: Cov'd by s/o not in HH-May 2000" *#_column(3325) str1 mels06u1 %1s "HI: Cov'd by s/o not in HH-Jun 2000" *#_column(3326) str1 mels07u1 %1s "HI: Cov'd by s/o not in HH-Jul 2000" *#_column(3327) str1 mels08u1 %1s "HI: Cov'd by s/o not in HH-Aug 2000" *#_column(3328) str1 mels09u1 %1s "HI: Cov'd by s/o not in HH-Sep 2000" *#_column(3329) str1 mels10u1 %1s "HI: Cov'd by s/o not in HH-Oct 2000" *#_column(3330) str1 mels11u1 %1s "HI: Cov'd by s/o not in HH-Nov 2000" *#_column(3331) str1 mels12u1 %1s "HI: Cov'd by s/o not in HH-Dec 2000" *#_column(3332) str1 q95011u1 %1s "HI: Not cov'd by HI for entire year" *#_column(3333) str2 renotau1 %2s "HI: Reason not covered by hlth insur" *#_column(3335) str1 curcovu1 %1s "HI: Currently cov'd by any hlth insur." *#_column(3336) str2 tyur00u1 %2s "HI: Coverage non-response" *#_column(3338) str1 tyur01u1 %1s "HI: Employer provided policyholder" *#_column(3339) str1 tyur02u1 %1s "HI: Union-provided plan" *#_column(3340) str1 tyur03u1 %1s "HI: Purch'd plan direct from ins. comp" *#_column(3341) str1 tyur04u1 %1s "HI: Medicaid/State Plan" *#_column(3342) str1 tyur05u1 %1s "HI: CHIP/State Plan" *#_column(3343) str1 tyur06u1 %1s "HI: Medi/Other plan paid by Medi" *#_column(3344) str1 tyur07u1 %1s "HI: TRICARE/CHAMPUS/CHAMPVA/MIL" *#_column(3345) str1 tyur08u1 %1s "HI: Indian Health Service" *#_column(3346) str1 tyur09u1 %1s "HI: State Plan" *#_column(3347) str1 tyur10u1 %1s "HI: Another gov't hlth insur plan" *#_column(3348) str1 tyur11u1 %1s "HI: Cov'd by someone outside household" *#_column(3349) str1 uninsu1 %1s "HU: Uninsured for all/part of 2000" *#_column(3350) str1 uivisu1 %1s "HU: Visited doc/other while uninsured" *#_column(3351) str1 uitrtu1 %1s "HU: Treated for illness/inj uninsured" *#_column(3352) str1 uircaru1 %1s "HU: Received routine care, uninsured" *#_column(3353) str1 uidralu1 %1s "HU: Rec'd drug/alcoh treatmt unins" *#_column(3354) str1 uiwhru1 %1s "HU: Where rec'd those health services" *#_column(3355) str1 uiwhr1u1 %1s "HU: Recd Hlth Care: Clinic, Pub Hlth" *#_column(3356) str1 uiwhr2u1 %1s "HU: Rec'd Hlth Care: Emerg room" *#_column(3357) str1 uiwhr3u1 %1s "HU: Rec'd Hlth Care: Doc's/hosp off" *#_column(3358) str1 uiwhr4u1 %1s "HU: Rec'd Hlth Care: Someplace else" *#_column(3359) str1 uifrpyu1 %1s "HU: Services free vs. for pay" *#_column(3360) str1 uifprpu1 %1s "HU: Paid serv full vs. reduced price" *#_column(3361) str1 uiaincu1 %1s "HU: Asked inc. when paid for services" *#_column(3362) str1 preschu1 %1s "SE: Child in preschool since June 2000" *#_column(3363) str1 prem06u1 %1s "SE: Enrolled in preschool - Jun 2000" *#_column(3364) str1 prem07u1 %1s "SE: Enrolled in preschool - Jul 2000" *#_column(3365) str1 prem08u1 %1s "SE: Enrolled in preschool - Aug 2000" *#_column(3366) str1 prem09u1 %1s "SE: Enrolled in preschool - Sep 2000" *#_column(3367) str1 prem10u1 %1s "SE: Enrolled in preschool - Oct 2000" *#_column(3368) str1 prem11u1 %1s "SE: Enrolled in preschool - Nov 2000" *#_column(3369) str1 prem12u1 %1s "SE: Enrolled in preschool - Dec 2000" *#_column(3370) str1 prem13u1 %1s "SE: Enrolled in preschool - Jan 2001" *#_column(3371) str1 prem14u1 %1s "SE: Enrolled in preschool - Feb 2001" *#_column(3372) str1 prem15u1 %1s "SE: Enrolled in preschool - Mar 2001" *#_column(3373) str1 prem16u1 %1s "SE: Enrolled in preschool - Apr 2001" *#_column(3374) str1 prem17u1 %1s "SE: Enrolled in preschool - May 2001" *#_column(3375) str1 prehdu1 %1s "SE: Whether this a Head Start Program" *#_column(3376) str1 prepayu1 %1s "SE: Whether parent paid for preschool" *#_column(3377) str2 prehrsu1 %2s "SE: Hrs per week child usually attends" *#_column(3379) str1 schoolu1 %1s "SE: Child enrolled sch since Jun 2000" *#_column(3380) str1 schm06u1 %1s "SE: Enrolled in school - Jun 2000" *#_column(3381) str1 schm07u1 %1s "SE: Enrolled in school - Jul 2000" *#_column(3382) str1 schm08u1 %1s "SE: Enrolled in school - Aug 2000" *#_column(3383) str1 schm09u1 %1s "SE: Enrolled in school - Sep 2000" *#_column(3384) str1 schm10u1 %1s "SE: Enrolled in school - Oct 2000" *#_column(3385) str1 schm11u1 %1s "SE: Enrolled in school - Nov 2000" *#_column(3386) str1 schm12u1 %1s "SE: Enrolled in school - Dec 2000" *#_column(3387) str1 schm13u1 %1s "SE: Enrolled in school - Jan 2001" *#_column(3388) str1 schm14u1 %1s "SE: Enrolled in school - Feb 2001" *#_column(3389) str1 schm15u1 %1s "SE: Enrolled in school - Mar 2001" *#_column(3390) str1 schm16u1 %1s "SE: Enrolled in school - Apr 2001" *#_column(3391) str1 schm17u1 %1s "SE: Enrolled in school - May 2001" *#_column(3392) str2 schgrdu1 %2s "SE: Grade child was enrolled" *#_column(3394) str2 schlmou1 %2s "SE: Month child was last enrolled" *#_column(3396) str4 schlyru1 %4s "SE: Year child last enrolled" *#_column(3400) str2 schlgru1 %2s "SE: Grade child last enrolled" *#_column(3402) str1 schtypu1 %1s "SE: Enrolled in public/private school" *#_column(3403) str1 schgftu1 %1s "SE: Classes for gifted since Sep 2000" *#_column(3404) str1 schrptu1 %1s "SE: Repeated/Held back for any reason" *#_column(3405) str1 schrkgu1 %1s "SE: Repeated - Kindergarten" *#_column(3406) str1 schr01u1 %1s "SE: Repeated - First Grade" *#_column(3407) str1 schr02u1 %1s "SE: Repeated - Second Grade" *#_column(3408) str1 schr03u1 %1s "SE: Repeated - Third Grade" *#_column(3409) str1 schr04u1 %1s "SE: Repeated - Fourth Grade" *#_column(3410) str1 schr05u1 %1s "SE: Repeated - Fifth Grade" *#_column(3411) str1 schr06u1 %1s "SE: Repeated - Sixth Grade" *#_column(3412) str1 schr07u1 %1s "SE: Repeated - Seventh Grade" *#_column(3413) str1 schr08u1 %1s "SE: Repeated - Eighth Grade" *#_column(3414) str1 schr09u1 %1s "SE: Repeated - Ninth Grade" *#_column(3415) str1 schr10u1 %1s "SE: Repeated - Tenth Grade" *#_column(3416) str1 schr11u1 %1s "SE: Repeated - Eleventh Grade" *#_column(3417) str1 schr12u1 %1s "SE: Repeated - Twelfth Grade" *#_column(3418) str1 schexpu1 %1s "SE: Child ever expelled/suspended" *#_column(3419) str1 schextu1 %1s "SE: # times child expelled/suspended" *#_column(3420) str1 schchgu1 %1s "SE: Changed schools since Jun 2000" *#_column(3421) str1 schchtu1 %1s "SE: Number of times changed schools" *#_column(3422) str1 scwhybu1 %1s "SE: Reasn chngd-child moved" *#_column(3423) str1 scwhycu1 %1s "SE: Reasn chngd-academic reasons" *#_column(3424) str1 scwhydu1 %1s "SE: Reasn chngd-new assigned school" *#_column(3425) str1 scwhyeu1 %1s "SE: Reasn chngd-prefer diffnt school" *#_column(3426) str1 scwhyfu1 %1s "SE: Reasn chngd-kindergt to elem schl" *#_column(3427) str1 scwhygu1 %1s "SE: Reasn chngd-elem to middle school" *#_column(3428) str1 scwhyhu1 %1s "SE: Reasn chngd-middle to high school" *#_column(3429) str1 scwhyiu1 %1s "SE: Reasn chngd-other reason" *#_column(3430) long sccostt1 %5f "SE: School related expenses" *#_column(3435) str1 sportsu1 %1s "EA: Child on sports team after school" *#_column(3436) str1 spmn09u1 %1s "EA: Sports team - Sep 00" *#_column(3437) str1 spmn10u1 %1s "EA: Sports team - Oct 00" *#_column(3438) str1 spmn11u1 %1s "EA: Sports team - Nov 00" *#_column(3439) str1 spmn12u1 %1s "EA: Sports team - Dec 00" *#_column(3440) str1 spmn13u1 %1s "EA: Sports team - Jan 01" *#_column(3441) str1 spmn14u1 %1s "EA: Sports team - Feb 01" *#_column(3442) str1 spmn15u1 %1s "EA: Sports team - Mar 01" *#_column(3443) str1 spmn16u1 %1s "EA: Sports team - Apr 01" *#_column(3444) str1 sptimeu1 %1s "EA: Sports team - freq attended" *#_column(3445) str1 lessonu1 %1s "EA: Child takes extra-curricular lesns" *#_column(3446) str1 lsmn09u1 %1s "EA: Extra lessons - Sep 00" *#_column(3447) str1 lsmn10u1 %1s "EA: Extra lessons - Oct 00" *#_column(3448) str1 lsmn11u1 %1s "EA: Extra lessons - Nov 00" *#_column(3449) str1 lsmn12u1 %1s "EA: Extra lessons - Dec 00" *#_column(3450) str1 lsmn13u1 %1s "EA: Extra lessons - Jan 01" *#_column(3451) str1 lsmn14u1 %1s "EA: Extra lessons - Feb 01" *#_column(3452) str1 lsmn15u1 %1s "EA: Extra lessons - Mar 01" *#_column(3453) str1 lsmn16u1 %1s "EA: Extra lessons - Apr 01" *#_column(3454) str1 lestimu1 %1s "EA: Extra lessons - freq. attended" *#_column(3455) str1 othactu1 %1s "EA: Child in clubs after school" *#_column(3456) str1 otmn09u1 %1s "EA: Child in clubs - Sept 00" *#_column(3457) str1 otmn10u1 %1s "EA: Child in clubs - Oct 00" *#_column(3458) str1 otmn11u1 %1s "EA: Child in clubs - Nov 00" *#_column(3459) str1 otmn12u1 %1s "EA: Child in clubs - Dec 00" *#_column(3460) str1 otmn13u1 %1s "EA: Child in clubs - Jan 01" *#_column(3461) str1 otmn14u1 %1s "EA: Child in clubs - Feb 01" *#_column(3462) str1 otmn15u1 %1s "EA: Child in clubs - Mar 01" *#_column(3463) str1 otmn16u1 %1s "EA: Child in clubs - Apr 01" *#_column(3464) str1 othtimu1 %1s "EA: Child in clubs - freq. attended" *#_column(3465) str1 tvruleu1 %1s "EA: Family has TV watching rules" *#_column(3466) str2 tvhouru1 %2s "EA: Child's weekly TV watching hours" *#_column(3468) str2 edtvu1 %2s "EA: Child's wkly education TV hours" *#_column(3470) str1 readu1 %1s "EA: How often read stories to child" *#_column(3471) str1 outingu1 %1s "EA: How often take child on outings" *#_column(3472) str1 religu1 %1s "EA: Freq child attend religious event" *#_column(3473) str1 gangu1 %1s "EA: Child's gang membership" *#_column(3474) str1 trgangu1 %1s "EA: Child in gang-related law trouble" *#_column(3475) str2 tmsgngu1 %2s "EA: Freq gang-related law trouble" *#_column(3477) str2 oldgngu1 %2s "EA: Age first in law trouble" *#_column(3479) str1 arrgngu1 %1s "EA: Child ever arrested" *#_column(3480) str1 hapgngu1 %1s "EA: Freq child arrested" *#_column(3481) str1 disgngu1 %1s "EA: Charges against child dismissed" *#_column(3482) str1 crgjobu1 %1s "EA: Child has regular job" *#_column(3483) str1 cdajobu1 %1s "EA: Days per week child works" *#_column(3484) str2 chrjobu1 %2s "EA: Hours per week child works" *#_column(3486) byte cmnjobu1 %2f "EA: Days per month child works" *#_column(3488) str1 chlthu1 %1s "CD: Child's general health condition" *#_column(3489) str1 hasdabu1 %1s "CD: Developmental or learning disab" *#_column(3490) str1 hlthn6u1 %1s "CD: Difficulty with age appro. task" *#_column(3491) str1 hlthndu1 %1s "CD: Condition limits reg. school work" *#_column(3492) str1 gespedu1 %1s "CD: Rec'd spcl ed in prior 12 months" *#_column(3493) str1 beprobu1 %1s "CD: Emotional or behavioral problem" *#_column(3494) str1 cdfseeu1 %1s "CD: Difficulty seeing" *#_column(3495) str1 cseedsu1 %1s "CD: Able to see at all" *#_column(3496) str1 cspeidu1 %1s "CD: Use spl aids/cane/whlchr/hear aid" *#_column(3497) str1 ctaid1u1 %1s "CD: Use a cane?" *#_column(3498) str1 ctaid2u1 %1s "CD: Use a wheelchair?" *#_column(3499) str1 ctaid3u1 %1s "CD: Use a walker?" *#_column(3500) str1 ctaid4u1 %1s "CD: Use crutches?" *#_column(3501) str1 ctaid5u1 %1s "CD: Use leg brace?" *#_column(3502) str1 ctaid6u1 %1s "CD: Use hearing aid?" *#_column(3503) str1 ctaid7u1 %1s "CD: Use other aid?" *#_column(3504) str1 cdifaru1 %1s "CD: Difficulty hearing" *#_column(3505) str1 chearmu1 %1s "CD: Abil to hear normal conver. at all" *#_column(3506) str1 dmworku1 %1s "MWS: Parent worked Apr01" *#_column(3507) str1 momjbsu1 %1s "MWS: Parent worked 2+ jobs, Apr01" *#_column(3508) str1 moday0u1 %1s "MWS: Days parent worked at main job" *#_column(3509) str1 moday1u1 %1s "MWS: Parent worked Monday" *#_column(3510) str1 moday2u1 %1s "MWS: Parent worked Tuesday" *#_column(3511) str1 moday3u1 %1s "MWS: Parent worked Wednesday" *#_column(3512) str1 moday4u1 %1s "MWS: Parent worked Thursday" *#_column(3513) str1 moday5u1 %1s "MWS: Parent worked Friday" *#_column(3514) str1 moday6u1 %1s "MWS: Parent worked Saturday" *#_column(3515) str1 moday7u1 %1s "MWS: Parent worked Sunday" *#_column(3516) str1 mosch1u1 %1s "MWS: Parent main job schedule" *#_column(3517) str1 dmlooku1 %1s "MWS: Parent looked for job, Apr 01" *#_column(3518) str1 dmscolu1 %1s "MWS: Parent attended school, Apr 01" *#_column(3519) str1 ptrainu1 %1s "MWS: Parent attended job trng, Apr01" *#_column(3520) str2 mwkhwku1 %2s "MWS: Parent weekly work hours, Apr01" *#_column(3522) str2 mlkhwku1 %2s "MWS: Hrs parent looked for job, Apr 01" *#_column(3524) str2 mschwku1 %2s "MWS: Hrs parent attended school, Apr 0" *#_column(3526) str2 mtrhwku1 %2s "MWS: Hrs parent attend job train, Apr0" *#_column(3528) str1 firsidu1 %1s "CC: Flag for first child of parent" *#_column(3529) str1 care01u1 %1s "CC: Oth/stpparnt did care Jan00-May01" *#_column(3530) str1 care02u1 %1s "CC: Parent did care- Jan00-May01" *#_column(3531) str1 care03u1 %1s "CC: Child sibling did care Jan00-May01" *#_column(3532) str1 care04u1 %1s "CC: Grandparent did care Jan00-May01" *#_column(3533) str1 care05u1 %1s "CC: Oth rel did care Jan00-May01" *#_column(3534) str1 care06u1 %1s "CC: Used fam daycare Jan00-May01" *#_column(3535) str1 care07u1 %1s "CC: Non rel did care Jan00-May01" *#_column(3536) str1 care08u1 %1s "CC: Used daycare/preschool-Jan00-May01" *#_column(3537) str1 care09u1 %1s "CC: Used Head Start Jan00-May01" *#_column(3538) str1 care10u1 %1s "CC: Used bef/aft schl care Jan00-May01" *#_column(3539) str1 care11u1 %1s "CC: Child cared for self Jan00-May01" *#_column(3540) str1 care12u1 %1s "CC: Used oth care arrange Jan00-May01" *#_column(3541) str1 carenou1 %1s "CC: No reg arrangement Jan00-May01" *#_column(3542) str1 a01m01u1 %1s "CC: Other/Stepparent did care-Jan00" *#_column(3543) str1 a01m02u1 %1s "CC: Other/Stepparent did care-Feb00" *#_column(3544) str1 a01m03u1 %1s "CC: Other/Stepparent did care-Mar00" *#_column(3545) str1 a01m04u1 %1s "CC: Other/Stepparent did care-Apr00" *#_column(3546) str1 a01m05u1 %1s "CC: Other/Stepparent did care-May00" *#_column(3547) str1 a01m06u1 %1s "CC: Other/Stepparent did care-Jun00" *#_column(3548) str1 a01m07u1 %1s "CC: Other/Stepparent did care-Jul00" *#_column(3549) str1 a01m08u1 %1s "CC: Other/Stepparent did care-Aug00" *#_column(3550) str1 a01m09u1 %1s "CC: Other/Stepparent did care-Sep00" *#_column(3551) str1 a01m10u1 %1s "CC: Other/Stepparent did care-Oct00" *#_column(3552) str1 a01m11u1 %1s "CC: Other/Stepparent did care-Nov00" *#_column(3553) str1 a01m12u1 %1s "CC: Other/Stepparent did care-Dec00" *#_column(3554) str1 a01m13u1 %1s "CC: Other/Stepparent did care-Jan01" *#_column(3555) str1 a01m14u1 %1s "CC: Other/Stepparent did care-Feb01" *#_column(3556) str1 a01m15u1 %1s "CC: Other/Stepparent did care-Mar01" *#_column(3557) str1 a01m16u1 %1s "CC: Other/Stepparent did care-Apr01" *#_column(3558) str1 a01m17u1 %1s "CC: Other/Stepparent did care-May01" *#_column(3559) str2 a01wh1u1 %2s "CC: Wkly hrs of care-Apr 01 other/step" *#_column(3561) str1 a01h2au1 %1s "CC: Hour while par work-Apr01 other/st" *#_column(3562) str2 a01h2bu1 %2s "CC: Hours whle par work-Apr01 other/st" *#_column(3564) str1 r01wreu1 %1s "CC: Location of care-Apr01 other/step" *#_column(3565) str1 a02m01u1 %1s "CC: Parent did care-Jan00" *#_column(3566) str1 a02m02u1 %1s "CC: Parent did care-Feb00" *#_column(3567) str1 a02m03u1 %1s "CC: Parent did care-Mar00" *#_column(3568) str1 a02m04u1 %1s "CC: Parent did care-Apr00" *#_column(3569) str1 a02m05u1 %1s "CC: Parent did care-May00" *#_column(3570) str1 a02m06u1 %1s "CC: Parent did care-Jun00" *#_column(3571) str1 a02m07u1 %1s "CC: Parent did care-Jul00" *#_column(3572) str1 a02m08u1 %1s "CC: Parent did care-Aug00" *#_column(3573) str1 a02m09u1 %1s "CC: Parent did care-Sep00" *#_column(3574) str1 a02m10u1 %1s "CC: Parent did care-Oct00" *#_column(3575) str1 a02m11u1 %1s "CC: Parent did care-Nov00" *#_column(3576) str1 a02m12u1 %1s "CC: Parent did care-Dec00" *#_column(3577) str1 a02m13u1 %1s "CC: Parent did care-Jan01" *#_column(3578) str1 a02m14u1 %1s "CC: Parent did care-Feb01" *#_column(3579) str1 a02m15u1 %1s "CC: Parent did care-Mar01" *#_column(3580) str1 a02m16u1 %1s "CC: Parent did care-Apr01" *#_column(3581) str1 a02m17u1 %1s "CC: Parent did care-May01" *#_column(3582) str2 a02wh1u1 %2s "CC: Wkly hrs of care-Apr01 parent" *#_column(3584) str1 r02wreu1 %1s "CC: Location of care-Apr01 parent" *#_column(3585) str1 a03m01u1 %1s "CC: Sibling did care-Jan00" *#_column(3586) str1 a03m02u1 %1s "CC: Sibling did care-Feb00" *#_column(3587) str1 a03m03u1 %1s "CC: Sibling did care-Mar00" *#_column(3588) str1 a03m04u1 %1s "CC: Sibling did care-Apr00" *#_column(3589) str1 a03m05u1 %1s "CC: Sibling did care-May00" *#_column(3590) str1 a03m06u1 %1s "CC: Sibling did care-Jun00" *#_column(3591) str1 a03m07u1 %1s "CC: Sibling did care-Jul00" *#_column(3592) str1 a03m08u1 %1s "CC: Sibling did care-Aug00" *#_column(3593) str1 a03m09u1 %1s "CC: Sibling did care-Sep00" *#_column(3594) str1 a03m10u1 %1s "CC: Sibling did care-Oct00" *#_column(3595) str1 a03m11u1 %1s "CC: Sibling did care-Nov00" *#_column(3596) str1 a03m12u1 %1s "CC: Sibling did care-Dec00" *#_column(3597) str1 a03m13u1 %1s "CC: Sibling did care-Jan01" *#_column(3598) str1 a03m14u1 %1s "CC: Sibling did care-Feb01" *#_column(3599) str1 a03m15u1 %1s "CC: Sibling did care-Mar01" *#_column(3600) str1 a03m16u1 %1s "CC: Sibling did care-Apr01" *#_column(3601) str1 a03m17u1 %1s "CC: Sibling did care-May01" *#_column(3602) str2 a03wh1u1 %2s "CC: Wkly hrs of care-Apr01 sibling" *#_column(3604) str1 a03h2au1 %1s "CC: Hour while par work-Apr01 sibling" *#_column(3605) str2 a03h2bu1 %2s "CC: Hours whle par work-Apr01 sibling" *#_column(3607) str1 r03wreu1 %1s "CC: Location of care-Apr01 sibling" *#_column(3608) str1 a04m01u1 %1s "CC: Grandparent did care-Jan00" *#_column(3609) str1 a04m02u1 %1s "CC: Grandparent did care-Feb00" *#_column(3610) str1 a04m03u1 %1s "CC: Grandparent did care-Mar00" *#_column(3611) str1 a04m04u1 %1s "CC: Grandparent did care-Apr00" *#_column(3612) str1 a04m05u1 %1s "CC: Grandparent did care-May00" *#_column(3613) str1 a04m06u1 %1s "CC: Grandparent did care-Jun00" *#_column(3614) str1 a04m07u1 %1s "CC: Grandparent did care-Jul00" *#_column(3615) str1 a04m08u1 %1s "CC: Grandparent did care-Aug00" *#_column(3616) str1 a04m09u1 %1s "CC: Grandparent did care-Sep00" *#_column(3617) str1 a04m10u1 %1s "CC: Grandparent did care-Oct00" *#_column(3618) str1 a04m11u1 %1s "CC: Grandparent did care-Nov00" *#_column(3619) str1 a04m12u1 %1s "CC: Grandparent did care-Dec00" *#_column(3620) str1 a04m13u1 %1s "CC: Grandparent did care-Jan01" *#_column(3621) str1 a04m14u1 %1s "CC: Grandparent did care-Feb01" *#_column(3622) str1 a04m15u1 %1s "CC: Grandparent did care-Mar01" *#_column(3623) str1 a04m16u1 %1s "CC: Grandparent did care-Apr01" *#_column(3624) str1 a04m17u1 %1s "CC: Grandparent did care-May01" *#_column(3625) str2 a04wh1u1 %2s "CC: Wkly hrs of care-Apr01 grandpar" *#_column(3627) str1 a04h2au1 %1s "CC: Hour while par work-Apr01 grandpar" *#_column(3628) str2 a04h2bu1 %2s "CC: Hours whle par work-Apr01 grandpar" *#_column(3630) str1 r04wreu1 %1s "CC: Location of care-Apr01 grandpar" *#_column(3631) long resp04t1 %5f "CC: Costs-Apr01: Grandparent" *#_column(3636) str1 epy04yu1 %1s "CC: Financ Assist recd-Apr01 grandpar" *#_column(3637) str1 epy041u1 %1s "CC: Gov't Assist recd-Apr01 grandpar" *#_column(3638) str1 epy042u1 %1s "CC: Oth par assist recd-Apr01 grandpar" *#_column(3639) str1 epy043u1 %1s "CC: Emplyr Assist recd-Apr01 grandpar" *#_column(3640) str1 epy044u1 %1s "CC: Other Assist recd-Apr01 grandpar" *#_column(3641) str1 a05m01u1 %1s "CC: Other relative did care-Jan00" *#_column(3642) str1 a05m02u1 %1s "CC: Other relative did care-Feb00" *#_column(3643) str1 a05m03u1 %1s "CC: Other relative did care-Mar00" *#_column(3644) str1 a05m04u1 %1s "CC: Other relative did care-Apr00" *#_column(3645) str1 a05m05u1 %1s "CC: Other relative did care-May00" *#_column(3646) str1 a05m06u1 %1s "CC: Other relative did care-Jun00" *#_column(3647) str1 a05m07u1 %1s "CC: Other relative did care-Jul00" *#_column(3648) str1 a05m08u1 %1s "CC: Other relative did care-Aug00" *#_column(3649) str1 a05m09u1 %1s "CC: Other relative did care-Sep00" *#_column(3650) str1 a05m10u1 %1s "CC: Other relative did care-Oct00" *#_column(3651) str1 a05m11u1 %1s "CC: Other relative did care-Nov00" *#_column(3652) str1 a05m12u1 %1s "CC: Other relative did care-Dec00" *#_column(3653) str1 a05m13u1 %1s "CC: Other relative did care-Jan01" *#_column(3654) str1 a05m14u1 %1s "CC: Other relative did care-Feb01" *#_column(3655) str1 a05m15u1 %1s "CC: Other relative did care-Mar01" *#_column(3656) str1 a05m16u1 %1s "CC: Other relative did care-Apr01" *#_column(3657) str1 a05m17u1 %1s "CC: Other relative did care-May01" *#_column(3658) str2 a05wh1u1 %2s "CC: Wkly hrs of care-Apr01 other rel" *#_column(3660) str1 a05h2au1 %1s "CC: Hour while par work-Apr01 other re" *#_column(3661) str2 a05h2bu1 %2s "CC: Hours whle par work-Apr01 other re" *#_column(3663) str1 r05wreu1 %1s "CC: Location of care-Apr01 other rel" *#_column(3664) long resp05t1 %5f "CC: Costs-Apr 01: Other relative" *#_column(3669) str1 epy05yu1 %1s "CC: Finan Assist recd-Apr01 other rel" *#_column(3670) str1 epy051u1 %1s "CC: Gov't Assist recd-Apr01 other rel" *#_column(3671) str1 epy052u1 %1s "CC: Oth par assist recd-Apr01 other re" *#_column(3672) str1 epy053u1 %1s "CC: Emplyr assist recd-Apr01 other rel" *#_column(3673) str1 epy054u1 %1s "CC: Other assist recd-Apr01 other rel" *#_column(3674) str1 a06m01u1 %1s "CC: Family daycare-Jan00" *#_column(3675) str1 a06m02u1 %1s "CC: Family daycare-Feb00" *#_column(3676) str1 a06m03u1 %1s "CC: Family daycare-Mar00" *#_column(3677) str1 a06m04u1 %1s "CC: Family daycare-Apr00" *#_column(3678) str1 a06m05u1 %1s "CC: Family daycare-May00" *#_column(3679) str1 a06m06u1 %1s "CC: Family daycare-Jun00" *#_column(3680) str1 a06m07u1 %1s "CC: Family daycare-Jul00" *#_column(3681) str1 a06m08u1 %1s "CC: Family daycare-Aug00" *#_column(3682) str1 a06m09u1 %1s "CC: Family daycare-Sep00" *#_column(3683) str1 a06m10u1 %1s "CC: Family daycare-Oct00" *#_column(3684) str1 a06m11u1 %1s "CC: Family daycare-Nov00" *#_column(3685) str1 a06m12u1 %1s "CC: Family daycare-Dec00" *#_column(3686) str1 a06m13u1 %1s "CC: Family daycare-Jan01" *#_column(3687) str1 a06m14u1 %1s "CC: Family daycare-Feb01" *#_column(3688) str1 a06m15u1 %1s "CC: Family daycare-Mar01" *#_column(3689) str1 a06m16u1 %1s "CC: Family daycare-Apr01" *#_column(3690) str1 a06m17u1 %1s "CC: Family daycare-May01" *#_column(3691) str2 a06wh1u1 %2s "CC: Wkly hrs of care-Apr01 Fam daycare" *#_column(3693) str1 a06h2au1 %1s "CC: Hr while par wrk-Apr01 Fam daycare" *#_column(3694) str2 a06h2bu1 %2s "CC: Hours whle par work-Apr01 Fam dayc" *#_column(3696) long resp06t1 %5f "CC: Costs-Apr01: Family daycare" *#_column(3701) str1 epy06yu1 %1s "CC: Finan Assist recd-Apr01 Fam daycar" *#_column(3702) str1 epy061u1 %1s "CC: Gov't Assist recd-Apr01 Fam daycar" *#_column(3703) str1 epy062u1 %1s "CC: Oth par assist rec-Apr01 Fam daycr" *#_column(3704) str1 epy063u1 %1s "CC: Emplyr assist recd-Apr01 Fam dayca" *#_column(3705) str1 epy064u1 %1s "CC: Other assist recd-Apr01 Fam daycar" *#_column(3706) str1 grps06u1 %1s "CC: >1 grp/rm chldn in arr- fam dc" *#_column(3707) str2 kgrp06u1 %2s "CC: #chldn cared for in gp- fam dc" *#_column(3709) str2 karr06u1 %2s "CC: # chldn cared for in arr - fam dc" *#_column(3711) str2 pcar06u1 %2s "CC: # peop care for child grp-fam dc" *#_column(3713) str1 lic06u1 %1s "CC: Child care prov lic by state-fam d" *#_column(3714) str1 a07m01u1 %1s "CC: Non-relative did care-Jan00" *#_column(3715) str1 a07m02u1 %1s "CC: Non-relative did care-Feb00" *#_column(3716) str1 a07m03u1 %1s "CC: Non-relative did care-Mar00" *#_column(3717) str1 a07m04u1 %1s "CC: Non-relative did care-Apr00" *#_column(3718) str1 a07m05u1 %1s "CC: Non-relative did care-May00" *#_column(3719) str1 a07m06u1 %1s "CC: Non-relative did care-Jun00" *#_column(3720) str1 a07m07u1 %1s "CC: Non-relative did care-Jul00" *#_column(3721) str1 a07m08u1 %1s "CC: Non-relative did care-Aug00" *#_column(3722) str1 a07m09u1 %1s "CC: Non-relative did care-Sep00" *#_column(3723) str1 a07m10u1 %1s "CC: Non-relative did care-Oct00" *#_column(3724) str1 a07m11u1 %1s "CC: Non-relative did care-Nov00" *#_column(3725) str1 a07m12u1 %1s "CC: Non-relative did care-Dec00" *#_column(3726) str1 a07m13u1 %1s "CC: Non-relative did care-Jan01" *#_column(3727) str1 a07m14u1 %1s "CC: Non-relative did care-Feb01" *#_column(3728) str1 a07m15u1 %1s "CC: Non-relative did care-Mar01" *#_column(3729) str1 a07m16u1 %1s "CC: Non-relative did care-Apr01" *#_column(3730) str1 a07m17u1 %1s "CC: Non-relative did care-May01" *#_column(3731) str2 a07wh1u1 %2s "CC: Wkly hrs of care-Apr01 non-rel" *#_column(3733) str1 a07h2au1 %1s "CC: Hour while par work-Apr01" *#_column(3734) str2 a07h2bu1 %2s "CC: Hours whle par work-Apr01 non-rel" *#_column(3736) str1 r07wreu1 %1s "CC: Location of care-Apr01 non-rel" *#_column(3737) long resp07t1 %5f "CC: Costs-Apr01: Non-relative" *#_column(3742) str1 epy07yu1 %1s "CC: Finan Assist recd-Apr01 non-rel" *#_column(3743) str1 epy071u1 %1s "CC: Gov't Assist recd-Apr01 non-rel" *#_column(3744) str1 epy072u1 %1s "CC: Oth par assist recd-Apr01 non-rel" *#_column(3745) str1 epy073u1 %1s "CC: Emplyr assist recd-Apr01 non-rel" *#_column(3746) str1 epy074u1 %1s "CC: Other assist recd-Apr01 non-rel" *#_column(3747) str1 a08m01u1 %1s "CC: Used daycare/preschool-Jan00" *#_column(3748) str1 a08m02u1 %1s "CC: Used daycare/preschool-Feb00" *#_column(3749) str1 a08m03u1 %1s "CC: Used daycare/preschool-Mar00" *#_column(3750) str1 a08m04u1 %1s "CC: Used daycare/preschool-Apr00" *#_column(3751) str1 a08m05u1 %1s "CC: Used daycare/preschool-May00" *#_column(3752) str1 a08m06u1 %1s "CC: Used daycare/preschool-Jun00" *#_column(3753) str1 a08m07u1 %1s "CC: Used daycare/preschool-Jul00" *#_column(3754) str1 a08m08u1 %1s "CC: Used daycare/preschool-Aug00" *#_column(3755) str1 a08m09u1 %1s "CC: Used daycare/preschool-Sep00" *#_column(3756) str1 a08m10u1 %1s "CC: Used daycare/preschool-Oct00" *#_column(3757) str1 a08m11u1 %1s "CC: Used daycare/preschool-Nov00" *#_column(3758) str1 a08m12u1 %1s "CC: Used daycare/preschool-Dec00" *#_column(3759) str1 a08m13u1 %1s "CC: Used daycare/preschool-Jan01" *#_column(3760) str1 a08m14u1 %1s "CC: Used daycare/preschool-Feb01" *#_column(3761) str1 a08m15u1 %1s "CC: Used daycare/preschool-Mar01" *#_column(3762) str1 a08m16u1 %1s "CC: Used daycare/preschool-Apr01" *#_column(3763) str1 a08m17u1 %1s "CC: Used daycare/preschool-May01" *#_column(3764) str2 a08wh1u1 %2s "CC: Wkly hrs of care-Apr01 Day/presch" *#_column(3766) str1 a08h2au1 %1s "CC: Hour while par work-Apr01 Day/prsc" *#_column(3767) str2 a08h2bu1 %2s "CC: Hours whle par work-Apr01 Day/pres" *#_column(3769) long resp08t1 %5f "CC: Costs-Apr01: Daycare/preschool" *#_column(3774) str1 epy08yu1 %1s "CC: Finan Assist recd-Apr01 Day/presch" *#_column(3775) str1 epy081u1 %1s "CC: Gov't Assist recd-Apr01 Day/presch" *#_column(3776) str1 epy082u1 %1s "CC: Oth par assist rec-Apr01 Day/presc" *#_column(3777) str1 epy083u1 %1s "CC: Emplyr assist recd-Apr01 Day/presc" *#_column(3778) str1 epy084u1 %1s "CC: Other assist recd-Apr01 Day/presch" *#_column(3779) str1 grps08u1 %1s "CC: >1 grp/rm chldn in arr-day/presch" *#_column(3780) str2 kgrp08u1 %2s "CC: #chldn cared for in gp-day/presch" *#_column(3782) str2 karr08u1 %2s "CC: #chldn cared for in arr-day/presch" *#_column(3784) str2 pcar08u1 %2s "CC: # peop care for chld grp-day/presc" *#_column(3786) str1 lic08u1 %1s "CC: Chld cre prv lc by state-day/presc" *#_column(3787) str1 a09m01u1 %1s "CC: Used Head Start-Jan00" *#_column(3788) str1 a09m02u1 %1s "CC: Used Head Start-Feb00" *#_column(3789) str1 a09m03u1 %1s "CC: Used Head Start-Mar00" *#_column(3790) str1 a09m04u1 %1s "CC: Used Head Start-Apr00" *#_column(3791) str1 a09m05u1 %1s "CC: Used Head Start-May00" *#_column(3792) str1 a09m06u1 %1s "CC: Used Head Start-Jun00" *#_column(3793) str1 a09m07u1 %1s "CC: Used Head Start-Jul00" *#_column(3794) str1 a09m08u1 %1s "CC: Used Head Start-Aug00" *#_column(3795) str1 a09m09u1 %1s "CC: Used Head Start-Sep00" *#_column(3796) str1 a09m10u1 %1s "CC: Used Head Start-Oct00" *#_column(3797) str1 a09m11u1 %1s "CC: Used Head Start-Nov00" *#_column(3798) str1 a09m12u1 %1s "CC: Used Head Start-Dec00" *#_column(3799) str1 a09m13u1 %1s "CC: Used Head Start-Jan01" *#_column(3800) str1 a09m14u1 %1s "CC: Used Head Start-Feb01" *#_column(3801) str1 a09m15u1 %1s "CC: Used Head Start-Mar01" *#_column(3802) str1 a09m16u1 %1s "CC: Used Head Start-Apr01" *#_column(3803) str1 a09m17u1 %1s "CC: Used Head Start-May01" *#_column(3804) str2 a09wh1u1 %2s "CC: Wkly hrs of care-Apr01 Head Start" *#_column(3806) str1 a09h2au1 %1s "CC: Hour while par work-Apr01 Head Sta" *#_column(3807) str2 a09h2bu1 %2s "CC: Hours whle par work-Apr01 Head Sta" *#_column(3809) str1 grps09u1 %1s "CC: >1 grp/rm of chldn in arr-H Strt" *#_column(3810) str2 kgrp09u1 %2s "CC: #chldn cared for in gp-H Strt" *#_column(3812) str2 karr09u1 %2s "CC: #chldn cared for in arr-H Strt" *#_column(3814) str2 pcar09u1 %2s "CC: # peop care for child grp-H Strt" *#_column(3816) str1 lic09u1 %1s "CC: Chld cre prv lic by state -H Strt" *#_column(3817) long resp09t1 %5f "CC: Costs-Apr 01:Head Start" *#_column(3822) str1 epy09yu1 %1s "CC: Finan Assist recd-Apr01 Head Start" *#_column(3823) str1 epy091u1 %1s "CC: Gov't Assist recd-Apr01 Head Start" *#_column(3824) str1 epy092u1 %1s "CC: Oth par assist recd-Apr01 Hd Strt" *#_column(3825) str1 epy093u1 %1s "CC: Emplyr assist recd-Apr01 Head Star" *#_column(3826) str1 epy094u1 %1s "CC: Other assist recd-Apr01 Head Start" *#_column(3827) str1 a10m01u1 %1s "CC: Used before/after school care-Jan0" *#_column(3828) str1 a10m02u1 %1s "CC: Used before/after school care-Feb0" *#_column(3829) str1 a10m03u1 %1s "CC: Used before/after school care-Mar0" *#_column(3830) str1 a10m04u1 %1s "CC: Used before/after school care-Apr0" *#_column(3831) str1 a10m05u1 %1s "CC: Used before/after school care-May0" *#_column(3832) str1 a10m06u1 %1s "CC: Used before/after school care-Jun0" *#_column(3833) str1 a10m07u1 %1s "CC: Used before/after school care-Jul0" *#_column(3834) str1 a10m08u1 %1s "CC: Used before/after school care-Aug0" *#_column(3835) str1 a10m09u1 %1s "CC: Used before/after school care-Sep0" *#_column(3836) str1 a10m10u1 %1s "CC: Used before/after school care-Oct0" *#_column(3837) str1 a10m11u1 %1s "CC: Used before/after school care-Nov0" *#_column(3838) str1 a10m12u1 %1s "CC: Used before/after school care-Dec0" *#_column(3839) str1 a10m13u1 %1s "CC: Used before/after school care-Jan0" *#_column(3840) str1 a10m14u1 %1s "CC: Used before/after school care-Feb0" *#_column(3841) str1 a10m15u1 %1s "CC: Used before/after school care-Mar0" *#_column(3842) str1 a10m16u1 %1s "CC: Used before/after school care-Apr0" *#_column(3843) str1 a10m17u1 %1s "CC: Used before/after school care-May0" *#_column(3844) str2 a10wh1u1 %2s "CC: Wkly hrs of care-Apr01 bef/af sch" *#_column(3846) str1 a10h2au1 %1s "CC: Hour while par work-Apr01 bef/af s" *#_column(3847) str2 a10h2bu1 %2s "CC: Hours whle par work-Apr01 bef/af s" *#_column(3849) long resp10t1 %5f "CC: Costs-Apr01: Bef/after school care" *#_column(3854) str1 epy10yu1 %1s "CC: Finan Assist recd-Apr01 bef/af sch" *#_column(3855) str1 epy101u1 %1s "CC: Gov't Assist recd-Apr01 bef/af sch" *#_column(3856) str1 epy102u1 %1s "CC: Oth par assist recd-Apr01 bf/af sc" *#_column(3857) str1 epy103u1 %1s "CC: Emplyr assist recd-Apr01 bef/af sc" *#_column(3858) str1 epy104u1 %1s "CC: Other assist recd-Apr01 bef/af sch" *#_column(3859) str1 grps10u1 %1s "CC: >1 grp/rm chldn in arr-bef/af sch" *#_column(3860) str2 kgrp10u1 %2s "CC: #chldn cared for in gp-bef/af sch" *#_column(3862) str2 karr10u1 %2s "CC: #chldn cared for in arr-bef/af sch" *#_column(3864) str2 pcar10u1 %2s "CC: # peop car for child grp-bef/af sc" *#_column(3866) str1 lic10u1 %1s "CC: Chld cre prv lic by st-bef/af sch" *#_column(3867) str1 a11m01u1 %1s "CC: Child cared for self-Jan00" *#_column(3868) str1 a11m02u1 %1s "CC: Child cared for self-Feb00" *#_column(3869) str1 a11m03u1 %1s "CC: Child cared for self-Mar00" *#_column(3870) str1 a11m04u1 %1s "CC: Child cared for self-Apr00" *#_column(3871) str1 a11m05u1 %1s "CC: Child cared for self-May00" *#_column(3872) str1 a11m06u1 %1s "CC: Child cared for self-Jun00" *#_column(3873) str1 a11m07u1 %1s "CC: Child cared for self-Jul00" *#_column(3874) str1 a11m08u1 %1s "CC: Child cared for self-Aug00" *#_column(3875) str1 a11m09u1 %1s "CC: Child cared for self-Sep00" *#_column(3876) str1 a11m10u1 %1s "CC: Child cared for self-Oct00" *#_column(3877) str1 a11m11u1 %1s "CC: Child cared for self-Nov00" *#_column(3878) str1 a11m12u1 %1s "CC: Child cared for self-Dec00" *#_column(3879) str1 a11m13u1 %1s "CC: Child cared for self-Jan01" *#_column(3880) str1 a11m14u1 %1s "CC: Child cared for self-Feb01" *#_column(3881) str1 a11m15u1 %1s "CC: Child cared for self-Mar01" *#_column(3882) str1 a11m16u1 %1s "CC: Child cared for self-Apr01" *#_column(3883) str1 a11m17u1 %1s "CC: Child cared for self-May01" *#_column(3884) str2 a11wh1u1 %2s "CC: Wkly hrs of care-Apr01 self care" *#_column(3886) str1 a11h2au1 %1s "CC: Hour while par work-Apr01 self car" *#_column(3887) str2 a11h2bu1 %2s "CC: Hours whle par work-Apr01 self car" *#_column(3889) str1 r11wreu1 %1s "CC: Location of care-Apr01 self care" *#_column(3890) str1 a12m01u1 %1s "CC: Used other arrangements-Jan00" *#_column(3891) str1 a12m02u1 %1s "CC: Used other arrangements-Feb00" *#_column(3892) str1 a12m03u1 %1s "CC: Used other arrangements-Mar00" *#_column(3893) str1 a12m04u1 %1s "CC: Used other arrangements-Apr00" *#_column(3894) str1 a12m05u1 %1s "CC: Used other arrangements-May00" *#_column(3895) str1 a12m06u1 %1s "CC: Used other arrangements-Jun00" *#_column(3896) str1 a12m07u1 %1s "CC: Used other arrangements-Jul00" *#_column(3897) str1 a12m08u1 %1s "CC: Used other arrangements-Aug00" *#_column(3898) str1 a12m09u1 %1s "CC: Used other arrangements-Sep00" *#_column(3899) str1 a12m10u1 %1s "CC: Used other arrangements-Oct00" *#_column(3900) str1 a12m11u1 %1s "CC: Used other arrangements-Nov00" *#_column(3901) str1 a12m12u1 %1s "CC: Used other arrangements-Dec00" *#_column(3902) str1 a12m13u1 %1s "CC: Used other arrangements-Jan01" *#_column(3903) str1 a12m14u1 %1s "CC: Used other arrangements-Feb01" *#_column(3904) str1 a12m15u1 %1s "CC: Used other arrangements-Mar01" *#_column(3905) str1 a12m16u1 %1s "CC: Used other arrangements-Apr01" *#_column(3906) str1 a12m17u1 %1s "CC: Used other arrangements-May01" *#_column(3907) str2 a12wh1u1 %2s "CC: Wkly hrs of care-Apr01 other arr" *#_column(3909) str1 a12h2au1 %1s "CC: Hour while par work-Apr01 other ar" *#_column(3910) str2 a12h2bu1 %2s "CC: Hours whle par work-Apr01 other ar" *#_column(3912) str1 r12wreu1 %1s "CC: Location of care-Apr01 other arr" *#_column(3913) long resp12t1 %5f "CC: Costs-Apr01: Other arrangement" *#_column(3918) str1 epy12yu1 %1s "CC: Finan Assist recd-Apr01 other arr" *#_column(3919) str1 epy121u1 %1s "CC: Gov't Assist recd-Apr01 other arr" *#_column(3920) str1 epy122u1 %1s "CC: Oth par assist recd-Apr01 other ar" *#_column(3921) str1 epy123u1 %1s "CC: Emplyr assist recd-Apr01 other arr" *#_column(3922) str1 epy124u1 %1s "CC: Other assist recd-Apr01 other arr" *#_column(3923) str1 resp0u1 %1s "CC: Self care Jan00-May01" *#_column(3924) str1 re0m01u1 %1s "CC: Self care-Jan00" *#_column(3925) str1 re0m02u1 %1s "CC: Self care-Feb00" *#_column(3926) str1 re0m03u1 %1s "CC: Self care-Mar00" *#_column(3927) str1 re0m04u1 %1s "CC: Self care-Apr00" *#_column(3928) str1 re0m05u1 %1s "CC: Self care-May00" *#_column(3929) str1 re0m06u1 %1s "CC: Self care-Jun00" *#_column(3930) str1 re0m07u1 %1s "CC: Self care-Jul00" *#_column(3931) str1 re0m08u1 %1s "CC: Self care-Aug00" *#_column(3932) str1 re0m09u1 %1s "CC: Self care-Sep00" *#_column(3933) str1 re0m10u1 %1s "CC: Self care-Oct00" *#_column(3934) str1 re0m11u1 %1s "CC: Self care-Nov00" *#_column(3935) str1 re0m12u1 %1s "CC: Self care-Dec00" *#_column(3936) str1 re0m13u1 %1s "CC: Self care-Jan01" *#_column(3937) str1 re0m14u1 %1s "CC: Self care-Feb01" *#_column(3938) str1 re0m15u1 %1s "CC: Self care-Mar01" *#_column(3939) str1 re0m16u1 %1s "CC: Self care-Apr01" *#_column(3940) str1 re0m17u1 %1s "CC: Self care-May01" *#_column(3941) str2 re0h1u1 %2s "CC: Wkly hrs of care-Apr01 self care2" *#_column(3943) str1 re0h2au1 %1s "CC: Hour while par work-Apr01 self car" *#_column(3944) str2 re0h2bu1 %2s "CC: Hours whle par work-Apr01 self car" *#_column(3946) str1 re0wreu1 %1s "CC: Location of care-Apr01 self care2" *#_column(3947) long allpayt1 %5f "CC: Child care costs Jan00-Dec00" *#_column(3952) str1 elspayu1 %1s "CC: Financial assist recd-Jan00-Dec00" *#_column(3953) str1 wupay1u1 %1s "CC: Gov't Assist recd-Jan00-Dec00" *#_column(3954) str1 wupay2u1 %1s "CC: Oth par assist recd Jan00-Dec00" *#_column(3955) str1 wupay3u1 %1s "CC: Emplyr Assist recd-Jan00-Dec00" *#_column(3956) str1 wupay4u1 %1s "CC: Other Assist recd-Jan00-Dec00" *#_column(3957) str1 ytimt1u1 %1s "CC: Time lost fm work, provdr unavail" *#_column(3958) str3 ytimt2u1 %3s "CC: Amt of time lost Jan00-Dec00" *#_column(3961) byte ytimt3u1 %1f "CC: Time ref of lost time Jan00-Dec00" *#_column(3962) str1 nocpv1u1 %1s "CC: Time lost from work,no provider" *#_column(3963) str3 nocpv2u1 %3s "CC: Amt of time lost Jan00-Dec00" *#_column(3966) byte nocpv3u1 %1f "CC: Tm lost ref pd-no prov Jan00-Dec00" *#_column(3967) str2 ccchgeu1 %2s "CC: Times changed provider since Jan00" *#_column(3969) str1 q1316au1 %1s "CC: Quit/leave a job bec chd care prob" *#_column(3970) str1 q1316bu1 %1s "CC: Quit lkg for work bec chd care pro" *#_column(3971) str1 q1316cu1 %1s "CC: Quit trng/sch bec chd care prob" *#_column(3972) str1 q1317au1 %1s "CC: Unable take job bec chd care prob" *#_column(3973) str1 q1317bu1 %1s "CC: Unable lk for wk bec chd care prob" *#_column(3974) str1 q1317cu1 %1s "CC: Unable str trn/sch bec chd care pr" *#_column(3975) str1 q1318u1 %1s "CC: Aware st prog hlp pay chd care cos" *#_column(3976) str1 q1319u1 %1s "CC: Why not rec gov fin asst-chd care" *#_column(3977) int refchr1 %4f "CS: Person number of reference child" *#_column(3981) str1 chvparu1 %1s "CS: Chld's f/moth lives outside of HH" *#_column(3982) str4 whrespu1 %4s "CS: Who in HH is legally resp for chil" *#_column(3986) str1 wynopru1 %1s "CS: Why CHILD has no PAR outside HH" *#_column(3987) str1 otparau1 %1s "CS: Other reasons NO parent outside HH" *#_column(3988) str1 curagru1 %1s "CS: Legal arrangement for child suppor" *#_column(3989) str1 evagreu1 %1s "CS: Ever any agreemt for chld support" *#_column(3990) str1 smagreu1 %1s "CS: Was CHILD2 covered by same agree" *#_column(3991) str4 whchlnu1 %4s "CS: First child cov'd by this agreemt" *#_column(3995) str4 whch2u1 %4s "CS: Sec. child cov'd by this agreemt" *#_column(3999) str4 whch3u1 %4s "CS: Third child cov'd by this agreemt" *#_column(4003) str1 agreupu1 %1s "CS: Legal agree say make CS payments" *#_column(4004) str1 evrlegu1 %1s "CS: Was agreement about CS made legal" *#_column(4005) str1 preagru1 %1s "CS: Agree to amt of CS before legal" *#_column(4006) str1 shdpayu1 %1s "CS: PARENT supposed to make CS pay" *#_column(4007) str1 whnpyau1 %1s "CS: Why no child support payments" *#_column(4008) str1 ddctpau1 %1s "CS: Deducted from paycheck" *#_column(4009) str1 pafrqau1 %1s "CS: How often make CS payments" *#_column(4010) str2 wkshldu1 %2s "CS: How many weeks payments made" *#_column(4012) str1 mnthpau1 %1s "CS: Rec'd payments month/some months" *#_column(4013) str1 mpid01u1 %1s "CS: Rec. CS payment - January 00" *#_column(4014) str1 mpid02u1 %1s "CS: Rec. CS payment - February 00" *#_column(4015) str1 mpid03u1 %1s "CS: Rec. CS payment - March 00" *#_column(4016) str1 mpid04u1 %1s "CS: Rec. CS payment - April 00" *#_column(4017) str1 mpid05u1 %1s "CS: Rec. CS payment - May 00" *#_column(4018) str1 mpid06u1 %1s "CS: Rec. CS payment - June 00" *#_column(4019) str1 mpid07u1 %1s "CS: Rec. CS payment - July 00" *#_column(4020) str1 mpid08u1 %1s "CS: Rec. CS payment - August 00" *#_column(4021) str1 mpid09u1 %1s "CS: Rec. CS payment - September 00" *#_column(4022) str1 mpid10u1 %1s "CS: Rec. CS payment - October 00" *#_column(4023) str1 mpid11u1 %1s "CS: Rec. CS payment - November 00" *#_column(4024) str1 mpid12u1 %1s "CS: Rec. CS payment - December 00" *#_column(4025) str2 qcntu1 %2s "CS: # of quarterly payments made" *#_column(4027) str2 qpaid1u1 %2s "CS: FIRST qtr pay SUPPOSED to be" *#_column(4029) str2 qpaid2u1 %2s "CS: Second qtr pay SUPPOSED to be" *#_column(4031) str2 qpaid3u1 %2s "CS: THIRD qtr pay SUPPOSED to be" *#_column(4033) str2 qpaid4u1 %2s "CS: FOURTH qtr pay SUPPOSED to be" *#_column(4035) long csprect1 %7f "CS: Child support: amount received" *#_column(4042) str1 pacorru1 %1s "CS: Verify child support amnt Y/N" *#_column(4043) long dolrect1 %7f "CS: Support: amnt actually rec'd" *#_column(4050) str1 whopd1u1 %1s "CS: Pay sent by: Welfare or SC agency" *#_column(4051) str1 whopd2u1 %1s "CS: Payments sent by: Court" *#_column(4052) str1 whopd3u1 %1s "CS: Directly from other parent" *#_column(4053) str1 whopd4u1 %1s "CS: Other parent's place of employment" *#_column(4054) str1 whopd5u1 %1s "CS: Payments sent by: Other" *#_column(4055) str1 ynleg1u1 %1s "CS: No legal agree- Legal pat not esta" *#_column(4056) str1 ynleg2u1 %1s "CS: No leg. agree-Unable to loc. par." *#_column(4057) str1 ynleg3u1 %1s "CS: No legal agreement- Do not want CS" *#_column(4058) str1 ynleg4u1 %1s "CS: No legal agreement- Did not pursue" *#_column(4059) str1 ynleg5u1 %1s "CS: No legal agreement - Other" *#_column(4060) str1 askhlpu1 %1s "CS: Asked pub. agency/help obtaining C" *#_column(4061) str4 yrasku1 %4s "CS: What year did YOU last ask for hel" *#_column(4065) str1 typep1u1 %1s "CS: Type help: Locate other parent" *#_column(4066) str1 typep2u1 %1s "CS: Type help: Establish paternity" *#_column(4067) str1 typep3u1 %1s "CS: Type help: Establ CS obligation" *#_column(4068) str1 typep4u1 %1s "CS: Type help: Establish medical suppr" *#_column(4069) str1 typep5u1 %1s "CS: Type help: Enforce support order" *#_column(4070) str1 typep6u1 %1s "CS: Type help: Modify an order" *#_column(4071) str1 typep7u1 %1s "CS: Type help: Other" *#_column(4072) str1 legctau1 %1s "CS: Child cust. arrangemts specified" *#_column(4073) str1 custagu1 %1s "CS: Agreement regarding custody" *#_column(4074) str1 whcustu1 %1s "CS: Child cust. arrangemts specified" *#_column(4075) str1 q1415au1 %1s "CS: Other asst:pay for ins./medicines" *#_column(4076) str1 q1415bu1 %1s "CS: Other asst:pay for housing" *#_column(4077) str1 q1415cu1 %1s "CS: Oth asst:gave birthday/holi. gifts" *#_column(4078) str1 q1415du1 %1s "CS: Other asst:provide clothes" *#_column(4079) str1 q1415eu1 %1s "CS: Other asst:provide food" *#_column(4080) str1 q1415fu1 %1s "CS: Oth asst:pay chld care/sch/camp" *#_column(4081) str1 vwhch1u1 %1s "CS: Same CS agreement w/par 1" *#_column(4082) str2 sibcntu1 %2s "CS: Num. of siblings on same agreemt" *#_column(4084) str1 vwhch2u1 %1s "CS: Same CS agreement w/par 2" *#_column(4085) str1 vwhch3u1 %1s "CS: Same CS agreement w/par 3" *#_column(4086) str2 lstcnmu1 %2s "AP: Last month child saw other parent" *#_column(4088) str4 lstcnyu1 %4s "AP: Last year child saw other parent" *#_column(4092) str1 whrlivu1 %1s "AP: Both parents live in same state" *#_column(4093) str1 citlivu1 %1s "AP: Both parents live in same county" *#_column(4094) int totmtu1 %4f "AP: Tot # of months since last cont." *#_column(4098) str1 talkphu1 %1s "AP: Freq talks to oth parent on phone" *#_column(4099) str1 getltru1 %1s "AP: How often gets mail from oth paren" *#_column(4100) str1 dayseeu1 %1s "AP: How often child sees other parent" *#_column(4101) str1 nightsu1 %1s "AP: How often stay overnight w/oth par" *#_column(4102) str1 q1450au1 %1s "AP: Conflict: Where child lives" *#_column(4103) str1 q1450bu1 %1s "AP: Conflict: How child is raised" *#_column(4104) str1 q1450cu1 %1s "AP: Conflict: How money spent on child" *#_column(4105) str1 q1450du1 %1s "AP: Confl: How parent spends on chld" *#_column(4106) str1 q1450eu1 %1s "AP: Conflict: Parents fin. Contributio" *#_column(4107) str1 q1450fu1 %1s "AP: Conflict: Time spent w/child" }