Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 1 00000000 Total nonfarm Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 64529 64760 65082 65334 65682 65391 64146 64180 64810 65506 65832 65820 2011 64512 64913 65248 65664 65759 65644 64465 64640 65419 66129 66467 66498 2012 65339 65819 66159 66405 66684 66512 65409 65692 66423 67085 67457 67544 2013 66222 66714 67039 67395 67638 67550 66482 66863 67582 68250 68700 68733 2014 67357 67716 68098 68509 68746 68734 67634 67962 68727 69488 69880 70024 2015 68680 69118 69456 69881 70187 70190 69187 69385 70101 70904 71295 71417 2016 70090 70571 70992 71413 71644 71691 70788 71097 71829 72478 72820 72832 2017 71439 71977 72206 72541 72801 72799 71815 72104 72698 73397 73874 73854 2018 72439 73101 73383 73753 74146 74213 73151 73553 74124 74853 75301 75276 2019 73887 74422 74723 75144 75400 75430 74492 74892 75538 76260 76738 76770 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 64527 64757 65079 65331 65681 65389 64144 64178 64807 65503 65829 65817 2011 64509 64911 65246 65662 65757 65641 64463 64639 65417 66127 66464 66496 2012 65337 65817 66157 66403 66682 66510 65407 65690 66421 67083 67455 67542 2013 66220 66712 67037 67393 67636 67547 66480 66861 67580 68248 68698 68730 2014 67355 67713 68095 68506 68743 68731 67631 67959 68724 69485 69878 70021 2015 68678 69116 69454 69878 70184 70187 69184 69383 70098 70902 71293 71415 2016 70088 70569 70989 71411 71642 71688 70786 71095 71826 72476 72818 72830 2017 71437 71974 72202 72539 72799 72796 71813 72102 72696 73396 73871 73851 2018 72437 73099 73382 73773 74184 74270 73232 73652 74245 74994 75461 75457 2019 74089 74646 74961 75386 75636 75665 74710 75110 75751 76464 76962 76994 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 3 3 3 1 2 2 2 3 3 3 3 2011 3 2 2 2 2 3 2 1 2 2 3 2 2012 2 2 2 2 2 2 2 2 2 2 2 2 2013 2 2 2 2 2 3 2 2 2 2 2 3 2014 2 3 3 3 3 3 3 3 3 3 2 3 2015 2 2 2 3 3 3 3 2 3 2 2 2 2016 2 2 3 2 2 3 2 2 3 2 2 2 2017 2 3 4 2 2 3 2 2 2 1 3 3 2018 2 2 1 -20 -38 -57 -81 -99 -121 -141 -160 -181 2019 -202 -224 -238 -242 -236 -235 -218 -218 -213 -204 -224 -224 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 2 00000000 Total nonfarm Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1268 231 322 252 348 -291 -1245 34 630 696 326 -12 2011 -1308 401 335 416 95 -115 -1179 175 779 710 338 31 2012 -1159 480 340 246 279 -172 -1103 283 731 662 372 87 2013 -1322 492 325 356 243 -88 -1068 381 719 668 450 33 2014 -1376 359 382 411 237 -12 -1100 328 765 761 392 144 2015 -1344 438 338 425 306 3 -1003 198 716 803 391 122 2016 -1327 481 421 421 231 47 -903 309 732 649 342 12 2017 -1393 538 229 335 260 -2 -984 289 594 699 477 -20 2018 -1415 662 282 370 393 67 -1062 402 571 729 448 -25 2019 -1389 535 301 421 256 30 -938 400 646 722 478 32 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1267 230 322 252 350 -292 -1245 34 629 696 326 -12 2011 -1308 402 335 416 95 -116 -1178 176 778 710 337 32 2012 -1159 480 340 246 279 -172 -1103 283 731 662 372 87 2013 -1322 492 325 356 243 -89 -1067 381 719 668 450 32 2014 -1375 358 382 411 237 -12 -1100 328 765 761 393 143 2015 -1343 438 338 424 306 3 -1003 199 715 804 391 122 2016 -1327 481 420 422 231 46 -902 309 731 650 342 12 2017 -1393 537 228 337 260 -3 -983 289 594 700 475 -20 2018 -1414 662 283 391 411 86 -1038 420 593 749 467 -4 2019 -1368 557 315 425 250 29 -955 400 641 713 498 32 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1 1 0 0 -2 1 0 0 1 0 0 0 2011 0 -1 0 0 0 1 -1 -1 1 0 1 -1 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 1 -1 0 0 0 0 1 2014 -1 1 0 0 0 0 0 0 0 0 -1 1 2015 -1 0 0 1 0 0 0 -1 1 -1 0 0 2016 0 0 1 -1 0 1 -1 0 1 -1 0 0 2017 0 1 1 -2 0 1 -1 0 0 -1 2 0 2018 -1 0 -1 -21 -18 -19 -24 -18 -22 -20 -19 -21 2019 -21 -22 -14 -4 6 1 17 0 5 9 -20 0 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 3 05000000 Total private Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 51663 51666 51909 52131 52289 52424 52297 52331 52251 52538 52773 52848 2011 51805 51983 52255 52661 52810 53027 52920 53011 52982 53307 53571 53690 2012 52800 53016 53315 53577 53888 54075 53991 54095 54059 54368 54643 54785 2013 53749 53952 54243 54596 54878 55146 55114 55284 55207 55525 55876 55987 2014 54895 55007 55319 55704 55985 56286 56216 56346 56293 56696 56992 57195 2015 56127 56295 56587 56979 57312 57649 57605 57642 57550 58006 58312 58475 2016 57427 57649 57981 58389 58661 59051 59038 59159 59087 59432 59685 59791 2017 58657 58922 59108 59436 59747 60073 60035 60118 59904 60295 60670 60714 2018 59601 59969 60209 60572 60988 61374 61269 61381 61195 61621 61980 62013 2019 60905 61184 61436 61833 62159 62497 62488 62589 62488 62905 63286 63387 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 51661 51663 51906 52128 52288 52422 52295 52329 52248 52535 52770 52845 2011 51802 51981 52253 52659 52808 53024 52918 53010 52980 53305 53568 53688 2012 52798 53014 53313 53575 53886 54073 53989 54093 54057 54366 54641 54783 2013 53747 53950 54241 54594 54876 55143 55112 55282 55205 55523 55874 55984 2014 54893 55004 55316 55701 55982 56283 56213 56343 56290 56693 56990 57192 2015 56125 56293 56585 56976 57309 57646 57602 57640 57547 58004 58310 58473 2016 57425 57647 57978 58387 58659 59048 59036 59157 59084 59430 59683 59789 2017 58655 58919 59104 59434 59745 60070 60033 60116 59902 60294 60667 60711 2018 59599 59967 60208 60591 61025 61432 61351 61482 61318 61764 62143 62199 2019 61111 61414 61679 62080 62401 62737 62712 62814 62706 63113 63512 63604 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 3 3 3 1 2 2 2 3 3 3 3 2011 3 2 2 2 2 3 2 1 2 2 3 2 2012 2 2 2 2 2 2 2 2 2 2 2 2 2013 2 2 2 2 2 3 2 2 2 2 2 3 2014 2 3 3 3 3 3 3 3 3 3 2 3 2015 2 2 2 3 3 3 3 2 3 2 2 2 2016 2 2 3 2 2 3 2 2 3 2 2 2 2017 2 3 4 2 2 3 2 2 2 1 3 3 2018 2 2 1 -19 -37 -58 -82 -101 -123 -143 -163 -186 2019 -206 -230 -243 -247 -242 -240 -224 -225 -218 -208 -226 -217 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 4 05000000 Total private Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1000 3 243 222 158 135 -127 34 -80 287 235 75 2011 -1043 178 272 406 149 217 -107 91 -29 325 264 119 2012 -890 216 299 262 311 187 -84 104 -36 309 275 142 2013 -1036 203 291 353 282 268 -32 170 -77 318 351 111 2014 -1092 112 312 385 281 301 -70 130 -53 403 296 203 2015 -1068 168 292 392 333 337 -44 37 -92 456 306 163 2016 -1048 222 332 408 272 390 -13 121 -72 345 253 106 2017 -1134 265 186 328 311 326 -38 83 -214 391 375 44 2018 -1113 368 240 363 416 386 -105 112 -186 426 359 33 2019 -1108 279 252 397 326 338 -9 101 -101 417 381 101 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -999 2 243 222 160 134 -127 34 -81 287 235 75 2011 -1043 179 272 406 149 216 -106 92 -30 325 263 120 2012 -890 216 299 262 311 187 -84 104 -36 309 275 142 2013 -1036 203 291 353 282 267 -31 170 -77 318 351 110 2014 -1091 111 312 385 281 301 -70 130 -53 403 297 202 2015 -1067 168 292 391 333 337 -44 38 -93 457 306 163 2016 -1048 222 331 409 272 389 -12 121 -73 346 253 106 2017 -1134 264 185 330 311 325 -37 83 -214 392 373 44 2018 -1112 368 241 383 434 407 -81 131 -164 446 379 56 2019 -1088 303 265 401 321 336 -25 102 -108 407 399 92 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1 1 0 0 -2 1 0 0 1 0 0 0 2011 0 -1 0 0 0 1 -1 -1 1 0 1 -1 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 1 -1 0 0 0 0 1 2014 -1 1 0 0 0 0 0 0 0 0 -1 1 2015 -1 0 0 1 0 0 0 -1 1 -1 0 0 2016 0 0 1 -1 0 1 -1 0 1 -1 0 0 2017 0 1 1 -2 0 1 -1 0 0 -1 2 0 2018 -1 0 -1 -20 -18 -21 -24 -19 -22 -20 -20 -23 2019 -20 -24 -13 -4 5 2 16 -1 7 10 -18 9 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 5 06000000 Goods-producing Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4061 4048 4050 4059 4091 4120 4124 4141 4114 4096 4084 4072 2011 4007 4007 4021 4027 4048 4088 4091 4107 4089 4083 4063 4047 2012 4009 4006 4033 4056 4084 4135 4145 4161 4143 4131 4108 4102 2013 4053 4058 4065 4079 4113 4154 4157 4174 4168 4164 4161 4154 2014 4100 4115 4133 4154 4187 4238 4243 4273 4270 4276 4267 4274 2015 4215 4216 4230 4246 4276 4334 4349 4335 4318 4314 4304 4298 2016 4256 4256 4268 4283 4304 4362 4360 4372 4356 4356 4345 4345 2017 4301 4315 4323 4345 4376 4437 4445 4467 4450 4452 4457 4466 2018 4420 4451 4472 4502 4548 4621 4637 4654 4649 4651 4657 4646 2019 4606 4615 4633 4652 4692 4745 4774 4775 4768 4756 4765 4762 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4061 4048 4050 4059 4091 4120 4124 4141 4114 4096 4084 4072 2011 4007 4007 4021 4027 4048 4088 4091 4107 4089 4083 4063 4047 2012 4009 4006 4033 4056 4084 4135 4145 4161 4143 4131 4108 4102 2013 4053 4058 4065 4079 4113 4154 4157 4174 4168 4164 4161 4154 2014 4100 4115 4133 4154 4187 4238 4243 4273 4270 4276 4267 4274 2015 4215 4216 4230 4246 4276 4334 4349 4335 4318 4314 4304 4298 2016 4256 4256 4268 4283 4304 4362 4360 4372 4356 4356 4345 4345 2017 4301 4315 4323 4345 4376 4437 4445 4467 4450 4452 4457 4466 2018 4420 4451 4472 4503 4548 4622 4640 4655 4651 4655 4658 4651 2019 4611 4621 4639 4658 4698 4750 4779 4781 4772 4760 4766 4764 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 0 -1 -3 -1 -2 -4 -1 -5 2019 -5 -6 -6 -6 -6 -5 -5 -6 -4 -4 -1 -2 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 6 06000000 Goods-producing Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -75 -13 2 9 32 29 4 17 -27 -18 -12 -12 2011 -65 0 14 6 21 40 3 16 -18 -6 -20 -16 2012 -38 -3 27 23 28 51 10 16 -18 -12 -23 -6 2013 -49 5 7 14 34 41 3 17 -6 -4 -3 -7 2014 -54 15 18 21 33 51 5 30 -3 6 -9 7 2015 -59 1 14 16 30 58 15 -14 -17 -4 -10 -6 2016 -42 0 12 15 21 58 -2 12 -16 0 -11 0 2017 -44 14 8 22 31 61 8 22 -17 2 5 9 2018 -46 31 21 30 46 73 16 17 -5 2 6 -11 2019 -40 9 18 19 40 53 29 1 -7 -12 9 -3 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -75 -13 2 9 32 29 4 17 -27 -18 -12 -12 2011 -65 0 14 6 21 40 3 16 -18 -6 -20 -16 2012 -38 -3 27 23 28 51 10 16 -18 -12 -23 -6 2013 -49 5 7 14 34 41 3 17 -6 -4 -3 -7 2014 -54 15 18 21 33 51 5 30 -3 6 -9 7 2015 -59 1 14 16 30 58 15 -14 -17 -4 -10 -6 2016 -42 0 12 15 21 58 -2 12 -16 0 -11 0 2017 -44 14 8 22 31 61 8 22 -17 2 5 9 2018 -46 31 21 31 45 74 18 15 -4 4 3 -7 2019 -40 10 18 19 40 52 29 2 -9 -12 6 -2 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 1 -1 -2 2 -1 -2 3 -4 2019 0 -1 0 0 0 1 0 -1 2 0 3 -1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 7 07000000 Service-providing Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 60468 60712 61032 61275 61591 61271 60022 60039 60696 61410 61748 61748 2011 60505 60906 61227 61637 61711 61556 60374 60533 61330 62046 62404 62451 2012 61330 61813 62126 62349 62600 62377 61264 61531 62280 62954 63349 63442 2013 62169 62656 62974 63316 63525 63396 62325 62689 63414 64086 64539 64579 2014 63257 63601 63965 64355 64559 64496 63391 63689 64457 65212 65613 65750 2015 64465 64902 65226 65635 65911 65856 64838 65050 65783 66590 66991 67119 2016 65834 66315 66724 67130 67340 67329 66428 66725 67473 68122 68475 68487 2017 67138 67662 67883 68196 68425 68362 67370 67637 68248 68945 69417 69388 2018 68019 68650 68911 69251 69598 69592 68514 68899 69475 70202 70644 70630 2019 69281 69807 70090 70492 70708 70685 69718 70117 70770 71504 71973 72008 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 60466 60709 61029 61272 61590 61269 60020 60037 60693 61407 61745 61745 2011 60502 60904 61225 61635 61709 61553 60372 60532 61328 62044 62401 62449 2012 61328 61811 62124 62347 62598 62375 61262 61529 62278 62952 63347 63440 2013 62167 62654 62972 63314 63523 63393 62323 62687 63412 64084 64537 64576 2014 63255 63598 63962 64352 64556 64493 63388 63686 64454 65209 65611 65747 2015 64463 64900 65224 65632 65908 65853 64835 65048 65780 66588 66989 67117 2016 65832 66313 66721 67128 67338 67326 66426 66723 67470 68120 68473 68485 2017 67136 67659 67879 68194 68423 68359 67368 67635 68246 68944 69414 69385 2018 68017 68648 68910 69270 69636 69648 68592 68997 69594 70339 70803 70806 2019 69478 70025 70322 70728 70938 70915 69931 70329 70979 71704 72196 72230 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 3 3 3 1 2 2 2 3 3 3 3 2011 3 2 2 2 2 3 2 1 2 2 3 2 2012 2 2 2 2 2 2 2 2 2 2 2 2 2013 2 2 2 2 2 3 2 2 2 2 2 3 2014 2 3 3 3 3 3 3 3 3 3 2 3 2015 2 2 2 3 3 3 3 2 3 2 2 2 2016 2 2 3 2 2 3 2 2 3 2 2 2 2017 2 3 4 2 2 3 2 2 2 1 3 3 2018 2 2 1 -19 -38 -56 -78 -98 -119 -137 -159 -176 2019 -197 -218 -232 -236 -230 -230 -213 -212 -209 -200 -223 -222 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 8 07000000 Service-providing Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1193 244 320 243 316 -320 -1249 17 657 714 338 0 2011 -1243 401 321 410 74 -155 -1182 159 797 716 358 47 2012 -1121 483 313 223 251 -223 -1113 267 749 674 395 93 2013 -1273 487 318 342 209 -129 -1071 364 725 672 453 40 2014 -1322 344 364 390 204 -63 -1105 298 768 755 401 137 2015 -1285 437 324 409 276 -55 -1018 212 733 807 401 128 2016 -1285 481 409 406 210 -11 -901 297 748 649 353 12 2017 -1349 524 221 313 229 -63 -992 267 611 697 472 -29 2018 -1369 631 261 340 347 -6 -1078 385 576 727 442 -14 2019 -1349 526 283 402 216 -23 -967 399 653 734 469 35 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1192 243 320 243 318 -321 -1249 17 656 714 338 0 2011 -1243 402 321 410 74 -156 -1181 160 796 716 357 48 2012 -1121 483 313 223 251 -223 -1113 267 749 674 395 93 2013 -1273 487 318 342 209 -130 -1070 364 725 672 453 39 2014 -1321 343 364 390 204 -63 -1105 298 768 755 402 136 2015 -1284 437 324 408 276 -55 -1018 213 732 808 401 128 2016 -1285 481 408 407 210 -12 -900 297 747 650 353 12 2017 -1349 523 220 315 229 -64 -991 267 611 698 470 -29 2018 -1368 631 262 360 366 12 -1056 405 597 745 464 3 2019 -1328 547 297 406 210 -23 -984 398 650 725 492 34 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1 1 0 0 -2 1 0 0 1 0 0 0 2011 0 -1 0 0 0 1 -1 -1 1 0 1 -1 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 1 -1 0 0 0 0 1 2014 -1 1 0 0 0 0 0 0 0 0 -1 1 2015 -1 0 0 1 0 0 0 -1 1 -1 0 0 2016 0 0 1 -1 0 1 -1 0 1 -1 0 0 2017 0 1 1 -2 0 1 -1 0 0 -1 2 0 2018 -1 0 -1 -20 -19 -18 -22 -20 -21 -18 -22 -17 2019 -21 -21 -14 -4 6 0 17 1 3 9 -23 1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 9 08000000 Private service-providing Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 47602 47618 47859 48072 48198 48304 48173 48190 48137 48442 48689 48776 2011 47798 47976 48234 48634 48762 48939 48829 48904 48893 49224 49508 49643 2012 48791 49010 49282 49521 49804 49940 49846 49934 49916 50237 50535 50683 2013 49696 49894 50178 50517 50765 50992 50957 51110 51039 51361 51715 51833 2014 50795 50892 51186 51550 51798 52048 51973 52073 52023 52420 52725 52921 2015 51912 52079 52357 52733 53036 53315 53256 53307 53232 53692 54008 54177 2016 53171 53393 53713 54106 54357 54689 54678 54787 54731 55076 55340 55446 2017 54356 54607 54785 55091 55371 55636 55590 55651 55454 55843 56213 56248 2018 55181 55518 55737 56070 56440 56753 56632 56727 56546 56970 57323 57367 2019 56299 56569 56803 57181 57467 57752 57714 57814 57720 58149 58521 58625 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 47600 47615 47856 48069 48197 48302 48171 48188 48134 48439 48686 48773 2011 47795 47974 48232 48632 48760 48936 48827 48903 48891 49222 49505 49641 2012 48789 49008 49280 49519 49802 49938 49844 49932 49914 50235 50533 50681 2013 49694 49892 50176 50515 50763 50989 50955 51108 51037 51359 51713 51830 2014 50793 50889 51183 51547 51795 52045 51970 52070 52020 52417 52723 52918 2015 51910 52077 52355 52730 53033 53312 53253 53305 53229 53690 54006 54175 2016 53169 53391 53710 54104 54355 54686 54676 54785 54728 55074 55338 55444 2017 54354 54604 54781 55089 55369 55633 55588 55649 55452 55842 56210 56245 2018 55179 55516 55736 56088 56477 56810 56711 56827 56667 57109 57485 57548 2019 56500 56793 57040 57422 57703 57987 57933 58033 57934 58353 58746 58840 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 3 3 3 1 2 2 2 3 3 3 3 2011 3 2 2 2 2 3 2 1 2 2 3 2 2012 2 2 2 2 2 2 2 2 2 2 2 2 2013 2 2 2 2 2 3 2 2 2 2 2 3 2014 2 3 3 3 3 3 3 3 3 3 2 3 2015 2 2 2 3 3 3 3 2 3 2 2 2 2016 2 2 3 2 2 3 2 2 3 2 2 2 2017 2 3 4 2 2 3 2 2 2 1 3 3 2018 2 2 1 -18 -37 -57 -79 -100 -121 -139 -162 -181 2019 -201 -224 -237 -241 -236 -235 -219 -219 -214 -204 -225 -215 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 10 08000000 Private service-providing Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -925 16 241 213 126 106 -131 17 -53 305 247 87 2011 -978 178 258 400 128 177 -110 75 -11 331 284 135 2012 -852 219 272 239 283 136 -94 88 -18 321 298 148 2013 -987 198 284 339 248 227 -35 153 -71 322 354 118 2014 -1038 97 294 364 248 250 -75 100 -50 397 305 196 2015 -1009 167 278 376 303 279 -59 51 -75 460 316 169 2016 -1006 222 320 393 251 332 -11 109 -56 345 264 106 2017 -1090 251 178 306 280 265 -46 61 -197 389 370 35 2018 -1067 337 219 333 370 313 -121 95 -181 424 353 44 2019 -1068 270 234 378 286 285 -38 100 -94 429 372 104 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -924 15 241 213 128 105 -131 17 -54 305 247 87 2011 -978 179 258 400 128 176 -109 76 -12 331 283 136 2012 -852 219 272 239 283 136 -94 88 -18 321 298 148 2013 -987 198 284 339 248 226 -34 153 -71 322 354 117 2014 -1037 96 294 364 248 250 -75 100 -50 397 306 195 2015 -1008 167 278 375 303 279 -59 52 -76 461 316 169 2016 -1006 222 319 394 251 331 -10 109 -57 346 264 106 2017 -1090 250 177 308 280 264 -45 61 -197 390 368 35 2018 -1066 337 220 352 389 333 -99 116 -160 442 376 63 2019 -1048 293 247 382 281 284 -54 100 -99 419 393 94 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1 1 0 0 -2 1 0 0 1 0 0 0 2011 0 -1 0 0 0 1 -1 -1 1 0 1 -1 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 1 -1 0 0 0 0 1 2014 -1 1 0 0 0 0 0 0 0 0 -1 1 2015 -1 0 0 1 0 0 0 -1 1 -1 0 0 2016 0 0 1 -1 0 1 -1 0 1 -1 0 0 2017 0 1 1 -2 0 1 -1 0 0 -1 2 0 2018 -1 0 -1 -19 -19 -20 -22 -21 -21 -18 -23 -19 2019 -20 -23 -13 -4 5 1 16 0 5 10 -21 10 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 11 10000000 Mining and logging Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 94 94 94 96 96 98 99 100 100 100 100 99 2011 99 100 101 102 104 106 106 108 107 108 109 109 2012 109 109 110 110 111 115 116 116 113 114 114 115 2013 114 113 115 115 116 117 117 118 116 116 114 115 2014 114 114 114 116 116 119 121 122 121 122 122 123 2015 121 119 118 116 113 114 114 112 111 109 108 108 2016 106 102 101 99 98 98 97 95 95 95 93 92 2017 91 90 90 91 91 92 93 91 90 91 91 91 2018 89 89 90 90 92 93 93 94 92 93 94 94 2019 93 92 92 93 95 97 99 99 99 99 96 97 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 94 94 94 96 96 98 99 100 100 100 100 99 2011 99 100 101 102 104 106 106 108 107 108 109 109 2012 109 109 110 110 111 115 116 116 113 114 114 115 2013 114 113 115 115 116 117 117 118 116 116 114 115 2014 114 114 114 116 116 119 121 122 121 122 122 123 2015 121 119 118 116 113 114 114 112 111 109 108 108 2016 106 102 101 99 98 98 97 95 95 95 93 92 2017 91 90 90 91 91 92 93 91 90 91 91 91 2018 89 89 90 90 92 94 94 95 94 95 95 96 2019 95 95 95 96 98 100 102 102 102 102 100 102 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 -1 -1 -1 -2 -2 -1 -2 2019 -2 -3 -3 -3 -3 -3 -3 -3 -3 -3 -4 -5 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 12 10000000 Mining and logging Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -3 0 0 2 0 2 1 1 0 0 0 -1 2011 0 1 1 1 2 2 0 2 -1 1 1 0 2012 0 0 1 0 1 4 1 0 -3 1 0 1 2013 -1 -1 2 0 1 1 0 1 -2 0 -2 1 2014 -1 0 0 2 0 3 2 1 -1 1 0 1 2015 -2 -2 -1 -2 -3 1 0 -2 -1 -2 -1 0 2016 -2 -4 -1 -2 -1 0 -1 -2 0 0 -2 -1 2017 -1 -1 0 1 0 1 1 -2 -1 1 0 0 2018 -2 0 1 0 2 1 0 1 -2 1 1 0 2019 -1 -1 0 1 2 2 2 0 0 0 -3 1 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -3 0 0 2 0 2 1 1 0 0 0 -1 2011 0 1 1 1 2 2 0 2 -1 1 1 0 2012 0 0 1 0 1 4 1 0 -3 1 0 1 2013 -1 -1 2 0 1 1 0 1 -2 0 -2 1 2014 -1 0 0 2 0 3 2 1 -1 1 0 1 2015 -2 -2 -1 -2 -3 1 0 -2 -1 -2 -1 0 2016 -2 -4 -1 -2 -1 0 -1 -2 0 0 -2 -1 2017 -1 -1 0 1 0 1 1 -2 -1 1 0 0 2018 -2 0 1 0 2 2 0 1 -1 1 0 1 2019 -1 0 0 1 2 2 2 0 0 0 -2 2 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 -1 0 0 -1 0 1 -1 2019 0 -1 0 0 0 0 0 0 0 0 -1 -1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 13 20000000 Construction Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 720 717 718 720 731 736 735 733 723 721 716 704 2011 685 690 693 700 709 722 726 727 724 725 720 711 2012 694 694 701 711 720 735 743 744 742 741 734 731 2013 713 715 723 734 748 759 764 766 764 763 758 750 2014 736 740 751 762 776 790 798 801 800 807 800 797 2015 780 780 785 800 815 829 839 835 830 827 824 814 2016 804 807 819 829 840 854 855 858 854 862 855 851 2017 837 845 848 863 879 892 898 903 901 903 900 899 2018 884 897 902 916 931 950 952 954 957 959 959 948 2019 933 934 942 953 975 987 994 992 987 992 985 981 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 720 717 718 720 731 736 735 733 723 721 716 704 2011 685 690 693 700 709 722 726 727 724 725 720 711 2012 694 694 701 711 720 735 743 744 742 741 734 731 2013 713 715 723 734 748 759 764 766 764 763 758 750 2014 736 740 751 762 776 790 798 801 800 807 800 797 2015 780 780 785 800 815 829 839 835 830 827 824 814 2016 804 807 819 829 840 854 855 858 854 862 855 851 2017 837 845 848 863 879 892 898 903 901 903 900 899 2018 884 897 902 917 931 950 953 955 958 960 960 950 2019 935 936 944 955 977 988 995 994 988 992 985 982 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 0 0 -1 -1 -1 -1 -1 -2 2019 -2 -2 -2 -2 -2 -1 -1 -2 -1 0 0 -1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 14 20000000 Construction Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -31 -3 1 2 11 5 -1 -2 -10 -2 -5 -12 2011 -19 5 3 7 9 13 4 1 -3 1 -5 -9 2012 -17 0 7 10 9 15 8 1 -2 -1 -7 -3 2013 -18 2 8 11 14 11 5 2 -2 -1 -5 -8 2014 -14 4 11 11 14 14 8 3 -1 7 -7 -3 2015 -17 0 5 15 15 14 10 -4 -5 -3 -3 -10 2016 -10 3 12 10 11 14 1 3 -4 8 -7 -4 2017 -14 8 3 15 16 13 6 5 -2 2 -3 -1 2018 -15 13 5 14 15 19 2 2 3 2 0 -11 2019 -15 1 8 11 22 12 7 -2 -5 5 -7 -4 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -31 -3 1 2 11 5 -1 -2 -10 -2 -5 -12 2011 -19 5 3 7 9 13 4 1 -3 1 -5 -9 2012 -17 0 7 10 9 15 8 1 -2 -1 -7 -3 2013 -18 2 8 11 14 11 5 2 -2 -1 -5 -8 2014 -14 4 11 11 14 14 8 3 -1 7 -7 -3 2015 -17 0 5 15 15 14 10 -4 -5 -3 -3 -10 2016 -10 3 12 10 11 14 1 3 -4 8 -7 -4 2017 -14 8 3 15 16 13 6 5 -2 2 -3 -1 2018 -15 13 5 15 14 19 3 2 3 2 0 -10 2019 -15 1 8 11 22 11 7 -1 -6 4 -7 -3 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 1 0 -1 0 0 0 0 -1 2019 0 0 0 0 0 1 0 -1 1 1 0 -1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 15 30000000 Manufacturing Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3247 3237 3238 3243 3264 3286 3290 3308 3291 3275 3268 3269 2011 3223 3217 3227 3225 3235 3260 3259 3272 3258 3250 3234 3227 2012 3206 3203 3222 3235 3253 3285 3286 3301 3288 3276 3260 3256 2013 3226 3230 3227 3230 3249 3278 3276 3290 3288 3285 3289 3289 2014 3250 3261 3268 3276 3295 3329 3324 3350 3349 3347 3345 3354 2015 3314 3317 3327 3330 3348 3391 3396 3388 3377 3378 3372 3376 2016 3346 3347 3348 3355 3366 3410 3408 3419 3407 3399 3397 3402 2017 3373 3380 3385 3391 3406 3453 3454 3473 3459 3458 3466 3476 2018 3447 3465 3480 3496 3525 3578 3592 3606 3600 3599 3604 3604 2019 3580 3589 3599 3606 3622 3661 3681 3684 3682 3665 3684 3684 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3247 3237 3238 3243 3264 3286 3290 3308 3291 3275 3268 3269 2011 3223 3217 3227 3225 3235 3260 3259 3272 3258 3250 3234 3227 2012 3206 3203 3222 3235 3253 3285 3286 3301 3288 3276 3260 3256 2013 3226 3230 3227 3230 3249 3278 3276 3290 3288 3285 3289 3289 2014 3250 3261 3268 3276 3295 3329 3324 3350 3349 3347 3345 3354 2015 3314 3317 3327 3330 3348 3391 3396 3388 3377 3378 3372 3376 2016 3346 3347 3348 3355 3366 3410 3408 3419 3407 3399 3397 3402 2017 3373 3380 3385 3391 3406 3453 3454 3473 3459 3458 3466 3476 2018 3447 3465 3480 3496 3525 3578 3593 3605 3599 3600 3603 3605 2019 3581 3590 3600 3607 3623 3662 3682 3685 3682 3666 3681 3680 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 0 -1 1 1 -1 1 -1 2019 -1 -1 -1 -1 -1 -1 -1 -1 0 -1 3 4 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 16 30000000 Manufacturing Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -41 -10 1 5 21 22 4 18 -17 -16 -7 1 2011 -46 -6 10 -2 10 25 -1 13 -14 -8 -16 -7 2012 -21 -3 19 13 18 32 1 15 -13 -12 -16 -4 2013 -30 4 -3 3 19 29 -2 14 -2 -3 4 0 2014 -39 11 7 8 19 34 -5 26 -1 -2 -2 9 2015 -40 3 10 3 18 43 5 -8 -11 1 -6 4 2016 -30 1 1 7 11 44 -2 11 -12 -8 -2 5 2017 -29 7 5 6 15 47 1 19 -14 -1 8 10 2018 -29 18 15 16 29 53 14 14 -6 -1 5 0 2019 -24 9 10 7 16 39 20 3 -2 -17 19 0 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -41 -10 1 5 21 22 4 18 -17 -16 -7 1 2011 -46 -6 10 -2 10 25 -1 13 -14 -8 -16 -7 2012 -21 -3 19 13 18 32 1 15 -13 -12 -16 -4 2013 -30 4 -3 3 19 29 -2 14 -2 -3 4 0 2014 -39 11 7 8 19 34 -5 26 -1 -2 -2 9 2015 -40 3 10 3 18 43 5 -8 -11 1 -6 4 2016 -30 1 1 7 11 44 -2 11 -12 -8 -2 5 2017 -29 7 5 6 15 47 1 19 -14 -1 8 10 2018 -29 18 15 16 29 53 15 12 -6 1 3 2 2019 -24 9 10 7 16 39 20 3 -3 -16 15 -1 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 0 -1 2 0 -2 2 -2 2019 0 0 0 0 0 0 0 0 1 -1 4 1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 17 31000000 Durable goods Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1723 1717 1716 1720 1727 1732 1735 1741 1728 1722 1724 1722 2011 1712 1709 1715 1709 1712 1726 1720 1723 1716 1715 1710 1713 2012 1712 1712 1721 1724 1732 1744 1743 1741 1731 1733 1731 1738 2013 1729 1729 1731 1733 1736 1749 1744 1746 1743 1746 1751 1756 2014 1739 1744 1750 1751 1762 1777 1772 1777 1777 1783 1787 1797 2015 1788 1789 1795 1796 1806 1824 1816 1808 1801 1804 1803 1805 2016 1798 1797 1798 1802 1804 1817 1809 1809 1802 1802 1802 1809 2017 1801 1796 1799 1800 1804 1824 1816 1822 1816 1818 1828 1835 2018 1830 1839 1848 1855 1863 1889 1896 1901 1898 1903 1909 1913 2019 1905 1910 1918 1921 1926 1946 1956 1952 1946 1935 1952 1957 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1723 1717 1716 1720 1727 1732 1735 1741 1728 1722 1724 1722 2011 1712 1709 1715 1709 1712 1726 1720 1723 1716 1715 1710 1713 2012 1712 1712 1721 1724 1732 1744 1743 1741 1731 1733 1731 1738 2013 1729 1729 1731 1733 1736 1749 1744 1746 1743 1746 1751 1756 2014 1739 1744 1750 1751 1762 1777 1772 1777 1777 1783 1787 1797 2015 1788 1789 1795 1796 1806 1824 1816 1808 1801 1804 1803 1805 2016 1798 1797 1798 1802 1804 1817 1809 1809 1802 1802 1802 1809 2017 1801 1796 1799 1800 1804 1824 1816 1822 1816 1818 1828 1835 2018 1830 1839 1848 1855 1863 1889 1897 1901 1898 1904 1909 1914 2019 1906 1911 1919 1921 1927 1947 1958 1954 1948 1937 1953 1958 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 0 -1 0 0 -1 0 -1 2019 -1 -1 -1 0 -1 -1 -2 -2 -2 -2 -1 -1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 18 31000000 Durable goods Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -15 -6 -1 4 7 5 3 6 -13 -6 2 -2 2011 -10 -3 6 -6 3 14 -6 3 -7 -1 -5 3 2012 -1 0 9 3 8 12 -1 -2 -10 2 -2 7 2013 -9 0 2 2 3 13 -5 2 -3 3 5 5 2014 -17 5 6 1 11 15 -5 5 0 6 4 10 2015 -9 1 6 1 10 18 -8 -8 -7 3 -1 2 2016 -7 -1 1 4 2 13 -8 0 -7 0 0 7 2017 -8 -5 3 1 4 20 -8 6 -6 2 10 7 2018 -5 9 9 7 8 26 7 5 -3 5 6 4 2019 -8 5 8 3 5 20 10 -4 -6 -11 17 5 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -15 -6 -1 4 7 5 3 6 -13 -6 2 -2 2011 -10 -3 6 -6 3 14 -6 3 -7 -1 -5 3 2012 -1 0 9 3 8 12 -1 -2 -10 2 -2 7 2013 -9 0 2 2 3 13 -5 2 -3 3 5 5 2014 -17 5 6 1 11 15 -5 5 0 6 4 10 2015 -9 1 6 1 10 18 -8 -8 -7 3 -1 2 2016 -7 -1 1 4 2 13 -8 0 -7 0 0 7 2017 -8 -5 3 1 4 20 -8 6 -6 2 10 7 2018 -5 9 9 7 8 26 8 4 -3 6 5 5 2019 -8 5 8 2 6 20 11 -4 -6 -11 16 5 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 0 -1 1 0 -1 1 -1 2019 0 0 0 1 -1 0 -1 0 0 0 1 0 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 19 32000000 Nondurable goods Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1524 1520 1522 1523 1537 1554 1555 1567 1563 1553 1544 1547 2011 1511 1508 1512 1516 1523 1534 1539 1549 1542 1535 1524 1514 2012 1494 1491 1501 1511 1521 1541 1543 1560 1557 1543 1529 1518 2013 1497 1501 1496 1497 1513 1529 1532 1544 1545 1539 1538 1533 2014 1511 1517 1518 1525 1533 1552 1552 1573 1572 1564 1558 1557 2015 1526 1528 1532 1534 1542 1567 1580 1580 1576 1574 1569 1571 2016 1548 1550 1550 1553 1562 1593 1599 1610 1605 1597 1595 1593 2017 1572 1584 1586 1591 1602 1629 1638 1651 1643 1640 1638 1641 2018 1617 1626 1632 1641 1662 1689 1696 1705 1702 1696 1695 1691 2019 1675 1679 1681 1685 1696 1715 1725 1732 1736 1730 1732 1727 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1524 1520 1522 1523 1537 1554 1555 1567 1563 1553 1544 1547 2011 1511 1508 1512 1516 1523 1534 1539 1549 1542 1535 1524 1514 2012 1494 1491 1501 1511 1521 1541 1543 1560 1557 1543 1529 1518 2013 1497 1501 1496 1497 1513 1529 1532 1544 1545 1539 1538 1533 2014 1511 1517 1518 1525 1533 1552 1552 1573 1572 1564 1558 1557 2015 1526 1528 1532 1534 1542 1567 1580 1580 1576 1574 1569 1571 2016 1548 1550 1550 1553 1562 1593 1599 1610 1605 1597 1595 1593 2017 1572 1584 1586 1591 1602 1629 1638 1651 1643 1640 1638 1641 2018 1617 1626 1632 1641 1662 1689 1696 1704 1701 1696 1694 1691 2019 1675 1679 1681 1686 1696 1715 1724 1731 1734 1729 1728 1722 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 0 0 1 1 0 1 0 2019 0 0 0 -1 0 0 1 1 2 1 4 5 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 20 32000000 Nondurable goods Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -26 -4 2 1 14 17 1 12 -4 -10 -9 3 2011 -36 -3 4 4 7 11 5 10 -7 -7 -11 -10 2012 -20 -3 10 10 10 20 2 17 -3 -14 -14 -11 2013 -21 4 -5 1 16 16 3 12 1 -6 -1 -5 2014 -22 6 1 7 8 19 0 21 -1 -8 -6 -1 2015 -31 2 4 2 8 25 13 0 -4 -2 -5 2 2016 -23 2 0 3 9 31 6 11 -5 -8 -2 -2 2017 -21 12 2 5 11 27 9 13 -8 -3 -2 3 2018 -24 9 6 9 21 27 7 9 -3 -6 -1 -4 2019 -16 4 2 4 11 19 10 7 4 -6 2 -5 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -26 -4 2 1 14 17 1 12 -4 -10 -9 3 2011 -36 -3 4 4 7 11 5 10 -7 -7 -11 -10 2012 -20 -3 10 10 10 20 2 17 -3 -14 -14 -11 2013 -21 4 -5 1 16 16 3 12 1 -6 -1 -5 2014 -22 6 1 7 8 19 0 21 -1 -8 -6 -1 2015 -31 2 4 2 8 25 13 0 -4 -2 -5 2 2016 -23 2 0 3 9 31 6 11 -5 -8 -2 -2 2017 -21 12 2 5 11 27 9 13 -8 -3 -2 3 2018 -24 9 6 9 21 27 7 8 -3 -5 -2 -3 2019 -16 4 2 5 10 19 9 7 3 -5 -1 -6 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 0 0 1 0 -1 1 -1 2019 0 0 0 -1 1 0 1 0 1 -1 3 1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 21 40000000 Trade, transportation, and utilities Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9995 9861 9900 9885 9932 9965 9939 9928 9917 10014 10224 10341 2011 9949 9847 9868 9944 10000 10060 10051 10067 10046 10138 10396 10524 2012 10159 10015 10028 10051 10153 10195 10188 10213 10200 10321 10600 10711 2013 10296 10144 10171 10225 10317 10402 10407 10456 10472 10577 10880 11040 2014 10570 10391 10417 10477 10551 10629 10633 10642 10645 10784 11038 11188 2015 10754 10615 10661 10691 10770 10843 10833 10838 10802 10950 11211 11346 2016 10933 10793 10846 10899 10971 11044 11054 11076 11045 11152 11392 11512 2017 11062 10891 10877 10889 10956 10998 10962 10955 10936 11043 11358 11419 2018 10983 10897 10901 10932 11018 11059 11047 11047 11003 11101 11456 11471 2019 11071 10926 10904 10937 11004 11048 11046 11031 11025 11153 11448 11551 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9993 9858 9897 9882 9930 9963 9937 9926 9914 10011 10221 10338 2011 9946 9845 9866 9942 9998 10057 10049 10065 10044 10136 10393 10522 2012 10157 10013 10026 10049 10151 10193 10186 10211 10198 10319 10598 10709 2013 10294 10142 10169 10223 10315 10399 10405 10454 10470 10575 10878 11037 2014 10568 10388 10414 10474 10548 10626 10630 10639 10642 10781 11036 11185 2015 10752 10613 10659 10689 10767 10840 10830 10836 10799 10948 11209 11344 2016 10931 10791 10843 10897 10969 11041 11052 11074 11042 11150 11390 11510 2017 11060 10888 10874 10887 10954 10995 10960 10953 10934 11041 11355 11416 2018 10981 10895 10899 10936 11028 11076 11070 11077 11039 11143 11505 11526 2019 11132 10994 10977 11009 11075 11120 11118 11102 11094 11221 11528 11617 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 3 3 3 2 2 2 2 3 3 3 3 2011 3 2 2 2 2 3 2 2 2 2 3 2 2012 2 2 2 2 2 2 2 2 2 2 2 2 2013 2 2 2 2 2 3 2 2 2 2 2 3 2014 2 3 3 3 3 3 3 3 3 3 2 3 2015 2 2 2 2 3 3 3 2 3 2 2 2 2016 2 2 3 2 2 3 2 2 3 2 2 2 2017 2 3 3 2 2 3 2 2 2 2 3 3 2018 2 2 2 -4 -10 -17 -23 -30 -36 -42 -49 -55 2019 -61 -68 -73 -72 -71 -72 -72 -71 -69 -68 -80 -66 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 22 40000000 Trade, transportation, and utilities Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -413 -134 39 -15 47 33 -26 -11 -11 97 210 117 2011 -392 -102 21 76 56 60 -9 16 -21 92 258 128 2012 -365 -144 13 23 102 42 -7 25 -13 121 279 111 2013 -415 -152 27 54 92 85 5 49 16 105 303 160 2014 -470 -179 26 60 74 78 4 9 3 139 254 150 2015 -434 -139 46 30 79 73 -10 5 -36 148 261 135 2016 -413 -140 53 53 72 73 10 22 -31 107 240 120 2017 -450 -171 -14 12 67 42 -36 -7 -19 107 315 61 2018 -436 -86 4 31 86 41 -12 0 -44 98 355 15 2019 -400 -145 -22 33 67 44 -2 -15 -6 128 295 103 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -412 -135 39 -15 48 33 -26 -11 -12 97 210 117 2011 -392 -101 21 76 56 59 -8 16 -21 92 257 129 2012 -365 -144 13 23 102 42 -7 25 -13 121 279 111 2013 -415 -152 27 54 92 84 6 49 16 105 303 159 2014 -469 -180 26 60 74 78 4 9 3 139 255 149 2015 -433 -139 46 30 78 73 -10 6 -37 149 261 135 2016 -413 -140 52 54 72 72 11 22 -32 108 240 120 2017 -450 -172 -14 13 67 41 -35 -7 -19 107 314 61 2018 -435 -86 4 37 92 48 -6 7 -38 104 362 21 2019 -394 -138 -17 32 66 45 -2 -16 -8 127 307 89 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1 1 0 0 -1 0 0 0 1 0 0 0 2011 0 -1 0 0 0 1 -1 0 0 0 1 -1 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 1 -1 0 0 0 0 1 2014 -1 1 0 0 0 0 0 0 0 0 -1 1 2015 -1 0 0 0 1 0 0 -1 1 -1 0 0 2016 0 0 1 -1 0 1 -1 0 1 -1 0 0 2017 0 1 0 -1 0 1 -1 0 0 0 1 0 2018 -1 0 0 -6 -6 -7 -6 -7 -6 -6 -7 -6 2019 -6 -7 -5 1 1 -1 0 1 2 1 -12 14 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 23 41420000 Wholesale trade Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1613.1 1613.8 1620.7 1614.8 1616.2 1620.3 1615.0 1615.4 1612.6 1624.4 1629.5 1629.2 2011 1611.1 1619.8 1628.6 1634.7 1639.6 1647.7 1651.4 1651.4 1648.7 1659.6 1667.7 1671.3 2012 1653.8 1656.6 1665.9 1668.6 1676.7 1689.4 1683.8 1686.4 1673.3 1684.3 1684.5 1685.2 2013 1660.2 1658.6 1659.2 1659.5 1665.0 1676.3 1679.1 1683.9 1688.4 1686.0 1693.7 1701.2 2014 1680.2 1678.4 1676.7 1683.4 1690.0 1703.5 1700.0 1699.1 1693.9 1699.0 1695.1 1694.8 2015 1676.3 1683.9 1694.6 1699.9 1705.1 1712.8 1709.1 1704.8 1697.7 1702.5 1707.8 1708.3 2016 1689.7 1692.2 1698.9 1706.0 1710.6 1716.7 1712.3 1710.6 1709.9 1716.4 1718.9 1717.0 2017 1698.4 1704.2 1703.5 1703.2 1712.7 1719.9 1711.8 1711.5 1709.8 1719.2 1723.0 1726.8 2018 1710.9 1718.6 1726.2 1721.7 1725.8 1737.2 1747.2 1756.1 1747.7 1757.9 1761.6 1768.2 2019 1752.2 1757.7 1757.4 1767.7 1774.3 1779.7 1783.1 1781.8 1780.5 1786.8 1791.1 1800.2 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1613.1 1613.8 1620.7 1614.8 1616.2 1620.3 1615.0 1615.4 1612.6 1624.4 1629.5 1629.2 2011 1611.1 1619.8 1628.6 1634.7 1639.6 1647.7 1651.4 1651.4 1648.7 1659.6 1667.7 1671.3 2012 1653.8 1656.6 1665.9 1668.6 1676.7 1689.4 1683.8 1686.4 1673.3 1684.3 1684.5 1685.2 2013 1660.2 1658.6 1659.2 1659.5 1665.0 1676.3 1679.1 1683.9 1688.4 1686.0 1693.7 1701.2 2014 1680.2 1678.4 1676.7 1683.4 1690.0 1703.5 1700.0 1699.1 1693.9 1699.0 1695.1 1694.8 2015 1676.3 1683.9 1694.6 1699.9 1705.1 1712.8 1709.1 1704.8 1697.7 1702.5 1707.8 1708.3 2016 1689.7 1692.2 1698.9 1706.0 1710.6 1716.7 1712.3 1710.6 1709.9 1716.4 1718.9 1717.0 2017 1698.4 1704.2 1703.5 1703.2 1712.7 1719.9 1711.8 1711.5 1709.8 1719.2 1723.0 1726.8 2018 1710.9 1718.6 1726.2 1723.0 1727.8 1740.6 1751.3 1762.0 1754.4 1765.8 1771.1 1778.4 2019 1764.0 1770.4 1771.3 1780.9 1787.2 1792.8 1795.5 1794.6 1792.6 1798.1 1803.5 1813.3 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2011 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2018 0.0 0.0 0.0 -1.3 -2.0 -3.4 -4.1 -5.9 -6.7 -7.9 -9.5 -10.2 2019 -11.8 -12.7 -13.9 -13.2 -12.9 -13.1 -12.4 -12.8 -12.1 -11.3 -12.4 -13.1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 24 41420000 Wholesale trade Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -36.0 0.7 6.9 -5.9 1.4 4.1 -5.3 0.4 -2.8 11.8 5.1 -0.3 2011 -18.1 8.7 8.8 6.1 4.9 8.1 3.7 0.0 -2.7 10.9 8.1 3.6 2012 -17.5 2.8 9.3 2.7 8.1 12.7 -5.6 2.6 -13.1 11.0 0.2 0.7 2013 -25.0 -1.6 0.6 0.3 5.5 11.3 2.8 4.8 4.5 -2.4 7.7 7.5 2014 -21.0 -1.8 -1.7 6.7 6.6 13.5 -3.5 -0.9 -5.2 5.1 -3.9 -0.3 2015 -18.5 7.6 10.7 5.3 5.2 7.7 -3.7 -4.3 -7.1 4.8 5.3 0.5 2016 -18.6 2.5 6.7 7.1 4.6 6.1 -4.4 -1.7 -0.7 6.5 2.5 -1.9 2017 -18.6 5.8 -0.7 -0.3 9.5 7.2 -8.1 -0.3 -1.7 9.4 3.8 3.8 2018 -15.9 7.7 7.6 -4.5 4.1 11.4 10.0 8.9 -8.4 10.2 3.7 6.6 2019 -16.0 5.5 -0.3 10.3 6.6 5.4 3.4 -1.3 -1.3 6.3 4.3 9.1 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -36.0 0.7 6.9 -5.9 1.4 4.1 -5.3 0.4 -2.8 11.8 5.1 -0.3 2011 -18.1 8.7 8.8 6.1 4.9 8.1 3.7 0.0 -2.7 10.9 8.1 3.6 2012 -17.5 2.8 9.3 2.7 8.1 12.7 -5.6 2.6 -13.1 11.0 0.2 0.7 2013 -25.0 -1.6 0.6 0.3 5.5 11.3 2.8 4.8 4.5 -2.4 7.7 7.5 2014 -21.0 -1.8 -1.7 6.7 6.6 13.5 -3.5 -0.9 -5.2 5.1 -3.9 -0.3 2015 -18.5 7.6 10.7 5.3 5.2 7.7 -3.7 -4.3 -7.1 4.8 5.3 0.5 2016 -18.6 2.5 6.7 7.1 4.6 6.1 -4.4 -1.7 -0.7 6.5 2.5 -1.9 2017 -18.6 5.8 -0.7 -0.3 9.5 7.2 -8.1 -0.3 -1.7 9.4 3.8 3.8 2018 -15.9 7.7 7.6 -3.2 4.8 12.8 10.7 10.7 -7.6 11.4 5.3 7.3 2019 -14.4 6.4 0.9 9.6 6.3 5.6 2.7 -0.9 -2.0 5.5 5.4 9.8 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2011 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2018 0.0 0.0 0.0 -1.3 -0.7 -1.4 -0.7 -1.8 -0.8 -1.2 -1.6 -0.7 2019 -1.6 -0.9 -1.2 0.7 0.3 -0.2 0.7 -0.4 0.7 0.8 -1.1 -0.7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 25 42000000 Retail trade Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7237.2 7112.8 7137.9 7130.0 7171.0 7199.1 7200.6 7197.7 7148.5 7231.7 7434.1 7535.9 2011 7200.5 7089.2 7099.6 7167.9 7207.7 7256.3 7276.3 7294.1 7244.7 7320.0 7559.0 7668.1 2012 7349.8 7202.7 7203.3 7226.6 7308.1 7347.8 7368.5 7383.1 7345.3 7447.1 7718.1 7805.3 2013 7448.1 7310.0 7331.0 7381.7 7452.9 7526.5 7564.9 7602.7 7568.1 7673.6 7956.0 8084.6 2014 7673.3 7508.3 7524.3 7575.1 7625.4 7689.8 7714.9 7723.4 7695.0 7811.7 8062.5 8187.6 2015 7802.4 7663.7 7690.3 7709.6 7780.7 7844.9 7857.9 7858.0 7796.2 7926.9 8162.5 8261.0 2016 7925.2 7791.1 7824.0 7861.5 7905.8 7976.6 8003.5 8013.9 7952.7 8044.6 8263.6 8340.0 2017 7984.0 7817.4 7800.9 7812.6 7854.8 7882.6 7877.8 7864.3 7801.4 7888.8 8170.4 8197.9 2018 7839.9 7747.1 7734.8 7765.1 7830.0 7845.0 7850.2 7834.5 7747.6 7815.6 8136.1 8125.5 2019 7790.2 7651.5 7622.9 7639.7 7685.9 7718.0 7728.1 7714.2 7659.3 7767.7 8026.3 8083.9 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7237.2 7112.8 7137.9 7130.0 7171.0 7199.1 7200.6 7197.7 7148.5 7231.7 7434.1 7535.9 2011 7200.5 7089.2 7099.6 7167.9 7207.7 7256.3 7276.3 7294.1 7244.7 7320.0 7559.0 7668.1 2012 7349.8 7202.7 7203.3 7226.6 7308.1 7347.8 7368.5 7383.1 7345.3 7447.1 7718.1 7805.3 2013 7448.1 7310.0 7331.0 7381.7 7452.9 7526.5 7564.9 7602.7 7568.1 7673.6 7956.0 8084.6 2014 7673.3 7508.3 7524.3 7575.1 7625.4 7689.8 7714.9 7723.4 7695.0 7811.7 8062.5 8187.6 2015 7802.4 7663.7 7690.3 7709.6 7780.7 7844.9 7857.9 7858.0 7796.2 7926.9 8162.5 8261.0 2016 7925.2 7791.1 7824.0 7861.5 7905.8 7976.6 8003.5 8013.9 7952.7 8044.6 8263.6 8340.0 2017 7984.0 7817.4 7800.9 7812.6 7854.8 7882.6 7877.8 7864.3 7801.4 7888.8 8170.4 8197.9 2018 7839.9 7747.1 7734.8 7771.2 7842.6 7864.0 7876.3 7866.8 7786.2 7860.2 8187.7 8183.0 2019 7853.7 7721.5 7699.2 7715.4 7762.0 7794.6 7805.0 7790.5 7734.8 7844.0 8113.9 8172.6 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2011 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2018 0.0 0.0 0.0 -6.1 -12.6 -19.0 -26.1 -32.3 -38.6 -44.6 -51.6 -57.5 2019 -63.5 -70.0 -76.3 -75.7 -76.1 -76.6 -76.9 -76.3 -75.5 -76.3 -87.6 -88.7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 26 42000000 Retail trade Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -347.4 -124.4 25.1 -7.9 41.0 28.1 1.5 -2.9 -49.2 83.2 202.4 101.8 2011 -335.4 -111.3 10.4 68.3 39.8 48.6 20.0 17.8 -49.4 75.3 239.0 109.1 2012 -318.3 -147.1 0.6 23.3 81.5 39.7 20.7 14.6 -37.8 101.8 271.0 87.2 2013 -357.2 -138.1 21.0 50.7 71.2 73.6 38.4 37.8 -34.6 105.5 282.4 128.6 2014 -411.3 -165.0 16.0 50.8 50.3 64.4 25.1 8.5 -28.4 116.7 250.8 125.1 2015 -385.2 -138.7 26.6 19.3 71.1 64.2 13.0 0.1 -61.8 130.7 235.6 98.5 2016 -335.8 -134.1 32.9 37.5 44.3 70.8 26.9 10.4 -61.2 91.9 219.0 76.4 2017 -356.0 -166.6 -16.5 11.7 42.2 27.8 -4.8 -13.5 -62.9 87.4 281.6 27.5 2018 -358.0 -92.8 -12.3 30.3 64.9 15.0 5.2 -15.7 -86.9 68.0 320.5 -10.6 2019 -335.3 -138.7 -28.6 16.8 46.2 32.1 10.1 -13.9 -54.9 108.4 258.6 57.6 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -347.4 -124.4 25.1 -7.9 41.0 28.1 1.5 -2.9 -49.2 83.2 202.4 101.8 2011 -335.4 -111.3 10.4 68.3 39.8 48.6 20.0 17.8 -49.4 75.3 239.0 109.1 2012 -318.3 -147.1 0.6 23.3 81.5 39.7 20.7 14.6 -37.8 101.8 271.0 87.2 2013 -357.2 -138.1 21.0 50.7 71.2 73.6 38.4 37.8 -34.6 105.5 282.4 128.6 2014 -411.3 -165.0 16.0 50.8 50.3 64.4 25.1 8.5 -28.4 116.7 250.8 125.1 2015 -385.2 -138.7 26.6 19.3 71.1 64.2 13.0 0.1 -61.8 130.7 235.6 98.5 2016 -335.8 -134.1 32.9 37.5 44.3 70.8 26.9 10.4 -61.2 91.9 219.0 76.4 2017 -356.0 -166.6 -16.5 11.7 42.2 27.8 -4.8 -13.5 -62.9 87.4 281.6 27.5 2018 -358.0 -92.8 -12.3 36.4 71.4 21.4 12.3 -9.5 -80.6 74.0 327.5 -4.7 2019 -329.3 -132.2 -22.3 16.2 46.6 32.6 10.4 -14.5 -55.7 109.2 269.9 58.7 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2011 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2018 0.0 0.0 0.0 -6.1 -6.5 -6.4 -7.1 -6.2 -6.3 -6.0 -7.0 -5.9 2019 -6.0 -6.5 -6.3 0.6 -0.4 -0.5 -0.3 0.6 0.8 -0.8 -11.3 -1.1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 27 43000000 Transportation and warehousing Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1004.8 994.0 1000.6 1000.3 1006.0 1005.8 983.6 976.2 1018.6 1020.8 1023.9 1039.8 2011 1003.0 1003.8 1004.4 1006.5 1017.9 1019.4 987.2 986.8 1018.3 1024.4 1034.7 1049.1 2012 1019.5 1019.7 1021.2 1018.3 1031.0 1018.9 998.6 1005.7 1044.3 1051.5 1060.8 1084.0 2013 1051.2 1038.4 1045.2 1047.6 1062.0 1060.7 1024.8 1032.8 1079.6 1081.7 1095.4 1119.0 2014 1082.9 1070.8 1081.8 1084.4 1100.8 1101.0 1082.0 1084.7 1122.9 1140.0 1147.4 1171.9 2015 1142.6 1135.7 1142.7 1148.5 1150.5 1150.8 1131.3 1140.3 1175.2 1188.2 1208.5 1243.8 2016 1185.7 1178.3 1190.7 1201.0 1224.1 1219.0 1207.0 1221.5 1253.0 1261.6 1280.2 1325.5 2017 1250.8 1241.4 1244.6 1245.9 1261.7 1266.8 1242.9 1251.0 1298.1 1307.8 1336.5 1365.5 2018 1305.6 1303.5 1311.8 1315.5 1333.4 1346.6 1319.4 1326.8 1380.0 1398.9 1428.2 1447.2 2019 1398.3 1386.2 1391.5 1398.0 1411.3 1417.0 1400.5 1401.9 1454.8 1467.6 1498.4 1533.1 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1002.2 991.4 998.1 997.9 1003.4 1003.3 981.4 974.1 1016.1 1018.2 1021.6 1037.2 2011 1000.6 1001.4 1002.2 1004.3 1015.8 1017.3 985.2 984.8 1016.2 1022.3 1032.3 1047.0 2012 1017.5 1017.6 1019.0 1016.1 1028.8 1016.9 996.9 1003.9 1042.1 1049.3 1058.6 1081.7 2013 1048.9 1036.2 1043.0 1045.2 1059.6 1058.2 1022.8 1030.8 1077.1 1079.2 1092.7 1116.3 2014 1080.3 1068.1 1079.2 1081.9 1098.2 1098.5 1079.6 1082.2 1120.2 1137.2 1144.9 1169.2 2015 1140.0 1133.1 1140.2 1146.0 1147.8 1148.3 1128.9 1137.8 1172.7 1185.5 1206.0 1241.3 2016 1183.2 1175.9 1188.2 1198.7 1221.8 1216.5 1204.8 1219.2 1250.5 1259.2 1277.7 1323.0 2017 1248.3 1239.1 1242.3 1243.6 1259.3 1264.3 1240.8 1249.0 1295.9 1305.5 1334.1 1363.3 2018 1303.3 1301.3 1309.6 1312.2 1328.6 1340.5 1312.1 1318.3 1370.4 1387.9 1415.6 1433.4 2019 1383.3 1370.2 1373.9 1380.3 1393.6 1398.3 1382.0 1383.3 1435.2 1447.9 1478.6 1496.7 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2.6 2.6 2.5 2.4 2.6 2.5 2.2 2.1 2.5 2.6 2.3 2.6 2011 2.4 2.4 2.2 2.2 2.1 2.1 2.0 2.0 2.1 2.1 2.4 2.1 2012 2.0 2.1 2.2 2.2 2.2 2.0 1.7 1.8 2.2 2.2 2.2 2.3 2013 2.3 2.2 2.2 2.4 2.4 2.5 2.0 2.0 2.5 2.5 2.7 2.7 2014 2.6 2.7 2.6 2.5 2.6 2.5 2.4 2.5 2.7 2.8 2.5 2.7 2015 2.6 2.6 2.5 2.5 2.7 2.5 2.4 2.5 2.5 2.7 2.5 2.5 2016 2.5 2.4 2.5 2.3 2.3 2.5 2.2 2.3 2.5 2.4 2.5 2.5 2017 2.5 2.3 2.3 2.3 2.4 2.5 2.1 2.0 2.2 2.3 2.4 2.2 2018 2.3 2.2 2.2 3.3 4.8 6.1 7.3 8.5 9.6 11.0 12.6 13.8 2019 15.0 16.0 17.6 17.7 17.7 18.7 18.5 18.6 19.6 19.7 19.8 36.4 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 28 43000000 Transportation and warehousing Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -28.0 -10.8 6.6 -0.3 5.7 -0.2 -22.2 -7.4 42.4 2.2 3.1 15.9 2011 -36.8 0.8 0.6 2.1 11.4 1.5 -32.2 -0.4 31.5 6.1 10.3 14.4 2012 -29.6 0.2 1.5 -2.9 12.7 -12.1 -20.3 7.1 38.6 7.2 9.3 23.2 2013 -32.8 -12.8 6.8 2.4 14.4 -1.3 -35.9 8.0 46.8 2.1 13.7 23.6 2014 -36.1 -12.1 11.0 2.6 16.4 0.2 -19.0 2.7 38.2 17.1 7.4 24.5 2015 -29.3 -6.9 7.0 5.8 2.0 0.3 -19.5 9.0 34.9 13.0 20.3 35.3 2016 -58.1 -7.4 12.4 10.3 23.1 -5.1 -12.0 14.5 31.5 8.6 18.6 45.3 2017 -74.7 -9.4 3.2 1.3 15.8 5.1 -23.9 8.1 47.1 9.7 28.7 29.0 2018 -59.9 -2.1 8.3 3.7 17.9 13.2 -27.2 7.4 53.2 18.9 29.3 19.0 2019 -48.9 -12.1 5.3 6.5 13.3 5.7 -16.5 1.4 52.9 12.8 30.8 34.7 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -28.0 -10.8 6.7 -0.2 5.5 -0.1 -21.9 -7.3 42.0 2.1 3.4 15.6 2011 -36.6 0.8 0.8 2.1 11.5 1.5 -32.1 -0.4 31.4 6.1 10.0 14.7 2012 -29.5 0.1 1.4 -2.9 12.7 -11.9 -20.0 7.0 38.2 7.2 9.3 23.1 2013 -32.8 -12.7 6.8 2.2 14.4 -1.4 -35.4 8.0 46.3 2.1 13.5 23.6 2014 -36.0 -12.2 11.1 2.7 16.3 0.3 -18.9 2.6 38.0 17.0 7.7 24.3 2015 -29.2 -6.9 7.1 5.8 1.8 0.5 -19.4 8.9 34.9 12.8 20.5 35.3 2016 -58.1 -7.3 12.3 10.5 23.1 -5.3 -11.7 14.4 31.3 8.7 18.5 45.3 2017 -74.7 -9.2 3.2 1.3 15.7 5.0 -23.5 8.2 46.9 9.6 28.6 29.2 2018 -60.0 -2.0 8.3 2.6 16.4 11.9 -28.4 6.2 52.1 17.5 27.7 17.8 2019 -50.1 -13.1 3.7 6.4 13.3 4.7 -16.3 1.3 51.9 12.7 30.7 18.1 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 -0.1 -0.1 0.2 -0.1 -0.3 -0.1 0.4 0.1 -0.3 0.3 2011 -0.2 0.0 -0.2 0.0 -0.1 0.0 -0.1 0.0 0.1 0.0 0.3 -0.3 2012 -0.1 0.1 0.1 0.0 0.0 -0.2 -0.3 0.1 0.4 0.0 0.0 0.1 2013 0.0 -0.1 0.0 0.2 0.0 0.1 -0.5 0.0 0.5 0.0 0.2 0.0 2014 -0.1 0.1 -0.1 -0.1 0.1 -0.1 -0.1 0.1 0.2 0.1 -0.3 0.2 2015 -0.1 0.0 -0.1 0.0 0.2 -0.2 -0.1 0.1 0.0 0.2 -0.2 0.0 2016 0.0 -0.1 0.1 -0.2 0.0 0.2 -0.3 0.1 0.2 -0.1 0.1 0.0 2017 0.0 -0.2 0.0 0.0 0.1 0.1 -0.4 -0.1 0.2 0.1 0.1 -0.2 2018 0.1 -0.1 0.0 1.1 1.5 1.3 1.2 1.2 1.1 1.4 1.6 1.2 2019 1.2 1.0 1.6 0.1 0.0 1.0 -0.2 0.1 1.0 0.1 0.1 16.6 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 29 44220000 Utilities Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 140.1 140.3 140.4 139.6 139.2 140.2 139.7 138.5 136.9 136.7 136.0 135.7 2011 133.9 134.1 135.2 134.9 135.0 136.1 135.9 135.0 134.2 133.9 134.4 135.3 2012 135.8 136.1 137.3 137.8 137.5 138.6 137.2 137.8 137.1 137.9 136.3 136.7 2013 136.7 136.7 135.6 136.3 137.2 138.2 137.8 136.4 135.9 135.7 135.2 134.7 2014 133.8 133.2 134.0 133.7 134.3 134.5 135.7 134.5 133.0 133.1 133.0 133.4 2015 133.0 131.9 133.5 133.0 133.3 134.2 134.3 135.2 132.7 132.8 132.3 133.2 2016 132.7 131.8 131.9 130.8 130.5 131.3 131.5 130.3 129.1 129.5 129.7 129.8 2017 129.0 127.6 127.5 127.5 127.0 128.2 129.1 128.6 127.1 127.4 127.9 128.4 2018 126.5 127.9 128.5 129.2 128.5 130.5 130.5 129.5 128.0 128.6 130.3 130.5 2019 130.0 131.0 132.0 131.4 132.0 133.5 134.4 132.9 130.6 130.5 131.8 133.7 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 140.1 140.3 140.4 139.6 139.2 140.2 139.7 138.5 136.9 136.7 136.0 135.7 2011 133.9 134.1 135.2 134.9 135.0 136.1 135.9 135.0 134.2 133.9 134.4 135.3 2012 135.8 136.1 137.3 137.8 137.5 138.6 137.2 137.8 137.1 137.9 136.3 136.7 2013 136.7 136.7 135.6 136.3 137.2 138.2 137.8 136.4 135.9 135.7 135.2 134.7 2014 133.8 133.2 134.0 133.7 134.3 134.5 135.7 134.5 133.0 133.1 133.0 133.4 2015 133.0 131.9 133.5 133.0 133.3 134.2 134.3 135.2 132.7 132.8 132.3 133.2 2016 132.7 131.8 131.9 130.8 130.5 131.3 131.5 130.3 129.1 129.5 129.7 129.8 2017 129.0 127.6 127.5 127.5 127.0 128.2 129.1 128.6 127.1 127.4 127.9 128.4 2018 126.5 127.9 128.5 129.3 128.6 130.6 130.7 129.8 128.3 128.9 130.7 131.0 2019 130.6 131.5 132.6 132.1 132.6 134.2 135.0 133.5 131.1 131.1 132.4 134.5 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2011 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2018 0.0 0.0 0.0 -0.1 -0.1 -0.1 -0.2 -0.3 -0.3 -0.3 -0.4 -0.5 2019 -0.6 -0.5 -0.6 -0.7 -0.6 -0.7 -0.6 -0.6 -0.5 -0.6 -0.6 -0.8 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 30 44220000 Utilities Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1.0 0.2 0.1 -0.8 -0.4 1.0 -0.5 -1.2 -1.6 -0.2 -0.7 -0.3 2011 -1.8 0.2 1.1 -0.3 0.1 1.1 -0.2 -0.9 -0.8 -0.3 0.5 0.9 2012 0.5 0.3 1.2 0.5 -0.3 1.1 -1.4 0.6 -0.7 0.8 -1.6 0.4 2013 0.0 0.0 -1.1 0.7 0.9 1.0 -0.4 -1.4 -0.5 -0.2 -0.5 -0.5 2014 -0.9 -0.6 0.8 -0.3 0.6 0.2 1.2 -1.2 -1.5 0.1 -0.1 0.4 2015 -0.4 -1.1 1.6 -0.5 0.3 0.9 0.1 0.9 -2.5 0.1 -0.5 0.9 2016 -0.5 -0.9 0.1 -1.1 -0.3 0.8 0.2 -1.2 -1.2 0.4 0.2 0.1 2017 -0.8 -1.4 -0.1 0.0 -0.5 1.2 0.9 -0.5 -1.5 0.3 0.5 0.5 2018 -1.9 1.4 0.6 0.7 -0.7 2.0 0.0 -1.0 -1.5 0.6 1.7 0.2 2019 -0.5 1.0 1.0 -0.6 0.6 1.5 0.9 -1.5 -2.3 -0.1 1.3 1.9 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1.0 0.2 0.1 -0.8 -0.4 1.0 -0.5 -1.2 -1.6 -0.2 -0.7 -0.3 2011 -1.8 0.2 1.1 -0.3 0.1 1.1 -0.2 -0.9 -0.8 -0.3 0.5 0.9 2012 0.5 0.3 1.2 0.5 -0.3 1.1 -1.4 0.6 -0.7 0.8 -1.6 0.4 2013 0.0 0.0 -1.1 0.7 0.9 1.0 -0.4 -1.4 -0.5 -0.2 -0.5 -0.5 2014 -0.9 -0.6 0.8 -0.3 0.6 0.2 1.2 -1.2 -1.5 0.1 -0.1 0.4 2015 -0.4 -1.1 1.6 -0.5 0.3 0.9 0.1 0.9 -2.5 0.1 -0.5 0.9 2016 -0.5 -0.9 0.1 -1.1 -0.3 0.8 0.2 -1.2 -1.2 0.4 0.2 0.1 2017 -0.8 -1.4 -0.1 0.0 -0.5 1.2 0.9 -0.5 -1.5 0.3 0.5 0.5 2018 -1.9 1.4 0.6 0.8 -0.7 2.0 0.1 -0.9 -1.5 0.6 1.8 0.3 2019 -0.4 0.9 1.1 -0.5 0.5 1.6 0.8 -1.5 -2.4 0.0 1.3 2.1 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2011 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2012 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2013 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2014 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2017 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2018 0.0 0.0 0.0 -0.1 0.0 0.0 -0.1 -0.1 0.0 0.0 -0.1 -0.1 2019 -0.1 0.1 -0.1 -0.1 0.1 -0.1 0.1 0.0 0.1 -0.1 0.0 -0.2 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 31 50000000 Information Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1111 1114 1111 1109 1110 1106 1107 1104 1090 1089 1100 1096 2011 1077 1082 1084 1086 1091 1095 1092 1076 1076 1078 1086 1086 2012 1066 1078 1078 1082 1085 1089 1085 1079 1064 1067 1072 1071 2013 1062 1072 1069 1070 1080 1082 1088 1083 1075 1083 1094 1095 2014 1077 1084 1089 1091 1090 1099 1101 1106 1089 1092 1101 1104 2015 1091 1097 1098 1098 1101 1106 1112 1107 1099 1103 1107 1108 2016 1093 1104 1108 1109 1098 1121 1121 1124 1121 1128 1131 1131 2017 1110 1119 1116 1117 1117 1122 1125 1120 1106 1112 1117 1117 2018 1096 1109 1113 1113 1118 1131 1129 1126 1113 1123 1129 1128 2019 1106 1123 1128 1128 1126 1138 1149 1151 1134 1141 1152 1151 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1111 1114 1111 1109 1110 1106 1107 1104 1090 1089 1100 1096 2011 1077 1082 1084 1086 1091 1095 1092 1076 1076 1078 1086 1086 2012 1066 1078 1078 1082 1085 1089 1085 1079 1064 1067 1072 1071 2013 1062 1072 1069 1070 1080 1082 1088 1083 1075 1083 1094 1095 2014 1077 1084 1089 1091 1090 1099 1101 1106 1089 1092 1101 1104 2015 1091 1097 1098 1098 1101 1106 1112 1107 1099 1103 1107 1108 2016 1093 1104 1108 1109 1098 1121 1121 1124 1121 1128 1131 1131 2017 1110 1119 1116 1117 1117 1122 1125 1120 1106 1112 1117 1117 2018 1096 1109 1113 1112 1116 1128 1125 1121 1108 1117 1122 1119 2019 1097 1113 1117 1116 1115 1126 1137 1139 1122 1129 1145 1142 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 1 2 3 4 5 5 6 7 9 2019 9 10 11 12 11 12 12 12 12 12 7 9 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 32 50000000 Information Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -22 3 -3 -2 1 -4 1 -3 -14 -1 11 -4 2011 -19 5 2 2 5 4 -3 -16 0 2 8 0 2012 -20 12 0 4 3 4 -4 -6 -15 3 5 -1 2013 -9 10 -3 1 10 2 6 -5 -8 8 11 1 2014 -18 7 5 2 -1 9 2 5 -17 3 9 3 2015 -13 6 1 0 3 5 6 -5 -8 4 4 1 2016 -15 11 4 1 -11 23 0 3 -3 7 3 0 2017 -21 9 -3 1 0 5 3 -5 -14 6 5 0 2018 -21 13 4 0 5 13 -2 -3 -13 10 6 -1 2019 -22 17 5 0 -2 12 11 2 -17 7 11 -1 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -22 3 -3 -2 1 -4 1 -3 -14 -1 11 -4 2011 -19 5 2 2 5 4 -3 -16 0 2 8 0 2012 -20 12 0 4 3 4 -4 -6 -15 3 5 -1 2013 -9 10 -3 1 10 2 6 -5 -8 8 11 1 2014 -18 7 5 2 -1 9 2 5 -17 3 9 3 2015 -13 6 1 0 3 5 6 -5 -8 4 4 1 2016 -15 11 4 1 -11 23 0 3 -3 7 3 0 2017 -21 9 -3 1 0 5 3 -5 -14 6 5 0 2018 -21 13 4 -1 4 12 -3 -4 -13 9 5 -3 2019 -22 16 4 -1 -1 11 11 2 -17 7 16 -3 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 1 1 1 1 1 0 1 1 2 2019 0 1 1 1 -1 1 0 0 0 0 -5 2 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 33 55000000 Financial activities Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4558 4548 4535 4535 4531 4545 4538 4532 4511 4515 4507 4508 2011 4474 4466 4470 4477 4497 4510 4516 4509 4479 4483 4493 4509 2012 4475 4482 4497 4493 4516 4539 4538 4539 4531 4539 4537 4543 2013 4512 4518 4521 4530 4540 4562 4580 4571 4551 4558 4556 4559 2014 4523 4535 4535 4546 4553 4587 4597 4595 4581 4592 4603 4617 2015 4586 4588 4602 4610 4619 4651 4662 4658 4641 4657 4667 4676 2016 4655 4659 4674 4686 4703 4733 4748 4747 4731 4742 4745 4760 2017 4744 4745 4749 4750 4759 4795 4812 4819 4794 4801 4808 4809 2018 4789 4801 4807 4819 4845 4885 4898 4897 4882 4906 4907 4912 2019 4891 4903 4923 4930 4939 4965 4989 4981 4961 4980 4984 5000 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4558 4548 4535 4535 4532 4545 4538 4532 4511 4515 4507 4508 2011 4474 4466 4470 4477 4497 4510 4516 4510 4479 4483 4493 4509 2012 4475 4482 4497 4493 4516 4539 4538 4539 4531 4539 4537 4543 2013 4512 4518 4521 4530 4540 4562 4580 4571 4551 4558 4556 4559 2014 4523 4535 4535 4546 4553 4587 4597 4595 4581 4592 4603 4617 2015 4586 4588 4602 4609 4619 4651 4662 4658 4641 4657 4667 4676 2016 4655 4659 4674 4686 4703 4733 4748 4747 4731 4742 4745 4760 2017 4744 4745 4748 4750 4759 4795 4812 4819 4794 4802 4808 4809 2018 4789 4801 4808 4815 4836 4872 4881 4876 4856 4876 4872 4873 2019 4848 4856 4871 4877 4884 4910 4932 4926 4906 4923 4924 4933 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 -1 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 -1 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 1 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 1 0 0 0 0 0 0 -1 0 0 2018 0 0 -1 4 9 13 17 21 26 30 35 39 2019 43 47 52 53 55 55 57 55 55 57 60 67 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 34 55000000 Financial activities Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -43 -10 -13 0 -4 14 -7 -6 -21 4 -8 1 2011 -34 -8 4 7 20 13 6 -7 -30 4 10 16 2012 -34 7 15 -4 23 23 -1 1 -8 8 -2 6 2013 -31 6 3 9 10 22 18 -9 -20 7 -2 3 2014 -36 12 0 11 7 34 10 -2 -14 11 11 14 2015 -31 2 14 8 9 32 11 -4 -17 16 10 9 2016 -21 4 15 12 17 30 15 -1 -16 11 3 15 2017 -16 1 4 1 9 36 17 7 -25 7 7 1 2018 -20 12 6 12 26 40 13 -1 -15 24 1 5 2019 -21 12 20 7 9 26 24 -8 -20 19 4 16 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -43 -10 -13 0 -3 13 -7 -6 -21 4 -8 1 2011 -34 -8 4 7 20 13 6 -6 -31 4 10 16 2012 -34 7 15 -4 23 23 -1 1 -8 8 -2 6 2013 -31 6 3 9 10 22 18 -9 -20 7 -2 3 2014 -36 12 0 11 7 34 10 -2 -14 11 11 14 2015 -31 2 14 7 10 32 11 -4 -17 16 10 9 2016 -21 4 15 12 17 30 15 -1 -16 11 3 15 2017 -16 1 3 2 9 36 17 7 -25 8 6 1 2018 -20 12 7 7 21 36 9 -5 -20 20 -4 1 2019 -25 8 15 6 7 26 22 -6 -20 17 1 9 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 -1 1 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 -1 1 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 1 -1 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 1 -1 0 0 0 0 0 -1 1 0 2018 0 0 -1 5 5 4 4 4 5 4 5 4 2019 4 4 5 1 2 0 2 -2 0 2 3 7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 35 60000000 Professional and business services Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7416 7428 7421 7456 7390 7429 7395 7430 7449 7543 7621 7683 2011 7537 7613 7654 7713 7658 7688 7628 7694 7702 7817 7852 7912 2012 7795 7858 7897 7925 7888 7936 7917 7949 7971 8040 8113 8158 2013 8036 8116 8179 8226 8193 8243 8268 8301 8313 8406 8450 8469 2014 8347 8422 8451 8504 8454 8504 8482 8524 8538 8628 8680 8730 2015 8573 8619 8651 8703 8678 8746 8713 8760 8788 8900 8942 8987 2016 8830 8887 8921 8984 8937 8984 8976 9001 9053 9130 9177 9197 2017 9038 9105 9128 9172 9162 9213 9193 9220 9237 9342 9420 9414 2018 9261 9340 9370 9445 9439 9497 9438 9485 9505 9644 9694 9690 2019 9479 9571 9594 9651 9646 9709 9688 9724 9768 9873 9953 9956 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7416 7428 7421 7456 7390 7429 7395 7430 7449 7543 7621 7683 2011 7537 7613 7654 7713 7658 7688 7628 7694 7702 7817 7852 7912 2012 7795 7858 7897 7925 7888 7936 7917 7949 7971 8040 8113 8158 2013 8036 8116 8179 8226 8193 8243 8268 8301 8313 8406 8450 8469 2014 8347 8422 8451 8504 8454 8504 8482 8524 8538 8628 8680 8730 2015 8573 8619 8651 8703 8678 8746 8713 8760 8788 8900 8942 8987 2016 8830 8887 8921 8984 8937 8984 8976 9001 9053 9130 9177 9197 2017 9038 9105 9128 9172 9162 9213 9193 9220 9237 9342 9420 9414 2018 9261 9340 9370 9451 9451 9514 9462 9515 9541 9685 9742 9744 2019 9539 9638 9667 9726 9718 9778 9753 9790 9834 9935 10018 10014 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -6 -12 -17 -24 -30 -36 -41 -48 -54 2019 -60 -67 -73 -75 -72 -69 -65 -66 -66 -62 -65 -58 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 36 60000000 Professional and business services Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -78 12 -7 35 -66 39 -34 35 19 94 78 62 2011 -146 76 41 59 -55 30 -60 66 8 115 35 60 2012 -117 63 39 28 -37 48 -19 32 22 69 73 45 2013 -122 80 63 47 -33 50 25 33 12 93 44 19 2014 -122 75 29 53 -50 50 -22 42 14 90 52 50 2015 -157 46 32 52 -25 68 -33 47 28 112 42 45 2016 -157 57 34 63 -47 47 -8 25 52 77 47 20 2017 -159 67 23 44 -10 51 -20 27 17 105 78 -6 2018 -153 79 30 75 -6 58 -59 47 20 139 50 -4 2019 -211 92 23 57 -5 63 -21 36 44 105 80 3 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -78 12 -7 35 -66 39 -34 35 19 94 78 62 2011 -146 76 41 59 -55 30 -60 66 8 115 35 60 2012 -117 63 39 28 -37 48 -19 32 22 69 73 45 2013 -122 80 63 47 -33 50 25 33 12 93 44 19 2014 -122 75 29 53 -50 50 -22 42 14 90 52 50 2015 -157 46 32 52 -25 68 -33 47 28 112 42 45 2016 -157 57 34 63 -47 47 -8 25 52 77 47 20 2017 -159 67 23 44 -10 51 -20 27 17 105 78 -6 2018 -153 79 30 81 0 63 -52 53 26 144 57 2 2019 -205 99 29 59 -8 60 -25 37 44 101 83 -4 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -6 -6 -5 -7 -6 -6 -5 -7 -6 2019 -6 -7 -6 -2 3 3 4 -1 0 4 -3 7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 37 65000000 Education and health services Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 15284 15406 15486 15516 15478 15304 15190 15210 15401 15617 15688 15638 2011 15462 15602 15640 15712 15645 15483 15384 15415 15654 15857 15917 15875 2012 15734 15951 15997 16024 16008 15809 15706 15751 15971 16186 16215 16218 2013 16021 16191 16246 16305 16255 16058 15910 16006 16196 16375 16453 16407 2014 16231 16375 16441 16490 16472 16317 16215 16287 16493 16711 16793 16797 2015 16633 16816 16884 16972 16951 16804 16715 16767 16978 17236 17308 17307 2016 17115 17315 17385 17444 17446 17308 17212 17292 17498 17732 17794 17783 2017 17576 17824 17849 17905 17876 17721 17639 17700 17890 18085 18140 18122 2018 17935 18160 18211 18248 18234 18092 17990 18080 18264 18480 18534 18551 2019 18347 18561 18619 18690 18666 18521 18455 18573 18766 18985 19082 19056 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 15284 15406 15486 15516 15478 15304 15190 15210 15401 15617 15688 15638 2011 15462 15602 15640 15712 15645 15483 15384 15415 15654 15857 15917 15875 2012 15734 15951 15997 16024 16008 15809 15706 15751 15971 16186 16215 16218 2013 16021 16191 16246 16305 16255 16058 15910 16006 16196 16375 16453 16407 2014 16231 16375 16441 16490 16472 16317 16215 16287 16493 16711 16793 16797 2015 16633 16816 16884 16972 16951 16804 16715 16767 16978 17236 17308 17307 2016 17115 17315 17385 17444 17446 17308 17212 17292 17498 17732 17794 17783 2017 17576 17824 17849 17905 17876 17721 17639 17700 17890 18085 18140 18122 2018 17935 18160 18211 18253 18243 18106 18008 18103 18292 18513 18572 18593 2019 18393 18613 18675 18753 18726 18579 18508 18626 18822 19041 19145 19126 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -5 -9 -14 -18 -23 -28 -33 -38 -42 2019 -46 -52 -56 -63 -60 -58 -53 -53 -56 -56 -63 -70 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 38 65000000 Education and health services Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -168 122 80 30 -38 -174 -114 20 191 216 71 -50 2011 -176 140 38 72 -67 -162 -99 31 239 203 60 -42 2012 -141 217 46 27 -16 -199 -103 45 220 215 29 3 2013 -197 170 55 59 -50 -197 -148 96 190 179 78 -46 2014 -176 144 66 49 -18 -155 -102 72 206 218 82 4 2015 -164 183 68 88 -21 -147 -89 52 211 258 72 -1 2016 -192 200 70 59 2 -138 -96 80 206 234 62 -11 2017 -207 248 25 56 -29 -155 -82 61 190 195 55 -18 2018 -187 225 51 37 -14 -142 -102 90 184 216 54 17 2019 -204 214 58 71 -24 -145 -66 118 193 219 97 -26 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -168 122 80 30 -38 -174 -114 20 191 216 71 -50 2011 -176 140 38 72 -67 -162 -99 31 239 203 60 -42 2012 -141 217 46 27 -16 -199 -103 45 220 215 29 3 2013 -197 170 55 59 -50 -197 -148 96 190 179 78 -46 2014 -176 144 66 49 -18 -155 -102 72 206 218 82 4 2015 -164 183 68 88 -21 -147 -89 52 211 258 72 -1 2016 -192 200 70 59 2 -138 -96 80 206 234 62 -11 2017 -207 248 25 56 -29 -155 -82 61 190 195 55 -18 2018 -187 225 51 42 -10 -137 -98 95 189 221 59 21 2019 -200 220 62 78 -27 -147 -71 118 196 219 104 -19 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -5 -4 -5 -4 -5 -5 -5 -5 -4 2019 -4 -6 -4 -7 3 2 5 0 -3 0 -7 -7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 39 70000000 Leisure and hospitality Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6461 6467 6585 6741 6927 7105 7158 7156 6960 6836 6728 6701 2011 6520 6572 6720 6886 7045 7255 7309 7294 7112 7021 6934 6905 2012 6749 6805 6953 7100 7292 7496 7537 7535 7329 7225 7135 7123 2013 6935 7012 7143 7303 7501 7744 7802 7796 7559 7478 7398 7380 2014 7186 7216 7364 7531 7749 7964 8004 7992 7773 7693 7589 7565 2015 7381 7441 7549 7731 7970 8199 8252 8231 7995 7909 7832 7811 2016 7625 7697 7827 8010 8217 8482 8555 8546 8287 8190 8096 8063 2017 7850 7926 8050 8221 8450 8705 8776 8769 8443 8395 8305 8303 2018 8080 8152 8272 8432 8673 8947 9000 8973 8682 8605 8494 8503 2019 8318 8388 8516 8698 8927 9181 9201 9178 8924 8868 8748 8763 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6461 6467 6585 6741 6927 7105 7158 7156 6960 6836 6728 6701 2011 6520 6572 6720 6886 7045 7255 7309 7294 7112 7021 6934 6905 2012 6749 6805 6953 7100 7292 7496 7537 7535 7329 7225 7135 7123 2013 6935 7012 7143 7303 7501 7744 7802 7796 7559 7478 7398 7380 2014 7186 7216 7364 7531 7749 7964 8004 7992 7773 7693 7589 7565 2015 7381 7441 7549 7731 7970 8199 8252 8231 7995 7909 7832 7811 2016 7625 7697 7827 8010 8217 8482 8555 8546 8287 8190 8096 8063 2017 7850 7926 8050 8221 8450 8705 8776 8769 8443 8395 8305 8303 2018 8080 8152 8272 8438 8686 8966 9026 9005 8721 8650 8546 8562 2019 8382 8460 8594 8774 9006 9264 9280 9255 8996 8938 8817 8844 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -6 -13 -19 -26 -32 -39 -45 -52 -59 2019 -64 -72 -78 -76 -79 -83 -79 -77 -72 -70 -69 -81 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 40 70000000 Leisure and hospitality Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -182 6 118 156 186 178 53 -2 -196 -124 -108 -27 2011 -181 52 148 166 159 210 54 -15 -182 -91 -87 -29 2012 -156 56 148 147 192 204 41 -2 -206 -104 -90 -12 2013 -188 77 131 160 198 243 58 -6 -237 -81 -80 -18 2014 -194 30 148 167 218 215 40 -12 -219 -80 -104 -24 2015 -184 60 108 182 239 229 53 -21 -236 -86 -77 -21 2016 -186 72 130 183 207 265 73 -9 -259 -97 -94 -33 2017 -213 76 124 171 229 255 71 -7 -326 -48 -90 -2 2018 -223 72 120 160 241 274 53 -27 -291 -77 -111 9 2019 -185 70 128 182 229 254 20 -23 -254 -56 -120 15 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -182 6 118 156 186 178 53 -2 -196 -124 -108 -27 2011 -181 52 148 166 159 210 54 -15 -182 -91 -87 -29 2012 -156 56 148 147 192 204 41 -2 -206 -104 -90 -12 2013 -188 77 131 160 198 243 58 -6 -237 -81 -80 -18 2014 -194 30 148 167 218 215 40 -12 -219 -80 -104 -24 2015 -184 60 108 182 239 229 53 -21 -236 -86 -77 -21 2016 -186 72 130 183 207 265 73 -9 -259 -97 -94 -33 2017 -213 76 124 171 229 255 71 -7 -326 -48 -90 -2 2018 -223 72 120 166 248 280 60 -21 -284 -71 -104 16 2019 -180 78 134 180 232 258 16 -25 -259 -58 -121 27 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -6 -7 -6 -7 -6 -7 -6 -7 -7 2019 -5 -8 -6 2 -3 -4 4 2 5 2 1 -12 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 41 80000000 Other services Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2777 2794 2821 2830 2830 2850 2846 2830 2809 2828 2821 2809 2011 2779 2794 2798 2816 2826 2848 2849 2849 2824 2830 2830 2832 2012 2813 2821 2832 2846 2862 2876 2875 2868 2850 2859 2863 2859 2013 2834 2841 2849 2858 2879 2901 2902 2897 2873 2884 2884 2883 2014 2861 2869 2889 2911 2929 2948 2941 2927 2904 2920 2921 2920 2015 2894 2903 2912 2928 2947 2966 2969 2946 2929 2937 2941 2942 2016 2920 2938 2952 2974 2985 3017 3012 3001 2996 3002 3005 3000 2017 2976 2997 3016 3037 3051 3082 3083 3068 3048 3065 3065 3064 2018 3037 3059 3063 3081 3113 3142 3130 3119 3097 3111 3109 3112 2019 3087 3097 3119 3147 3159 3190 3186 3176 3142 3149 3154 3148 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2777 2794 2821 2830 2830 2850 2846 2830 2809 2828 2821 2809 2011 2779 2794 2798 2816 2826 2848 2849 2849 2824 2830 2830 2832 2012 2813 2821 2832 2846 2862 2876 2875 2868 2850 2859 2863 2859 2013 2834 2841 2849 2858 2879 2901 2902 2897 2873 2884 2884 2883 2014 2861 2869 2889 2911 2929 2948 2941 2927 2904 2920 2921 2920 2015 2894 2903 2912 2928 2947 2966 2969 2946 2929 2937 2941 2942 2016 2920 2938 2952 2974 2985 3017 3012 3001 2996 3002 3005 3000 2017 2976 2997 3016 3037 3051 3082 3083 3068 3048 3065 3065 3064 2018 3037 3059 3063 3083 3117 3148 3139 3130 3110 3125 3126 3131 2019 3109 3119 3139 3167 3179 3210 3205 3195 3160 3166 3169 3164 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -2 -4 -6 -9 -11 -13 -14 -17 -19 2019 -22 -22 -20 -20 -20 -20 -19 -19 -18 -17 -15 -16 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 42 80000000 Other services Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -19 17 27 9 0 20 -4 -16 -21 19 -7 -12 2011 -30 15 4 18 10 22 1 0 -25 6 0 2 2012 -19 8 11 14 16 14 -1 -7 -18 9 4 -4 2013 -25 7 8 9 21 22 1 -5 -24 11 0 -1 2014 -22 8 20 22 18 19 -7 -14 -23 16 1 -1 2015 -26 9 9 16 19 19 3 -23 -17 8 4 1 2016 -22 18 14 22 11 32 -5 -11 -5 6 3 -5 2017 -24 21 19 21 14 31 1 -15 -20 17 0 -1 2018 -27 22 4 18 32 29 -12 -11 -22 14 -2 3 2019 -25 10 22 28 12 31 -4 -10 -34 7 5 -6 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -19 17 27 9 0 20 -4 -16 -21 19 -7 -12 2011 -30 15 4 18 10 22 1 0 -25 6 0 2 2012 -19 8 11 14 16 14 -1 -7 -18 9 4 -4 2013 -25 7 8 9 21 22 1 -5 -24 11 0 -1 2014 -22 8 20 22 18 19 -7 -14 -23 16 1 -1 2015 -26 9 9 16 19 19 3 -23 -17 8 4 1 2016 -22 18 14 22 11 32 -5 -11 -5 6 3 -5 2017 -24 21 19 21 14 31 1 -15 -20 17 0 -1 2018 -27 22 4 20 34 31 -9 -9 -20 15 1 5 2019 -22 10 20 28 12 31 -5 -10 -35 6 3 -5 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -2 -2 -2 -3 -2 -2 -1 -3 -2 2019 -3 0 2 0 0 0 1 0 1 1 2 -1 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 43 90000000 Government Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 12866 13094 13173 13203 13393 12967 11849 11849 12559 12968 13059 12972 2011 12707 12930 12993 13003 12949 12617 11545 11629 12437 12822 12896 12808 2012 12539 12803 12844 12828 12796 12437 11418 11597 12364 12717 12814 12759 2013 12473 12762 12796 12799 12760 12404 11368 11579 12375 12725 12824 12746 2014 12462 12709 12779 12805 12761 12448 11418 11616 12434 12792 12888 12829 2015 12553 12823 12869 12902 12875 12541 11582 11743 12551 12898 12983 12942 2016 12663 12922 13011 13024 12983 12640 11750 11938 12742 13046 13135 13041 2017 12782 13055 13098 13105 13054 12726 11780 11986 12794 13102 13204 13140 2018 12838 13132 13174 13181 13158 12839 11882 12172 12929 13232 13321 13263 2019 12982 13238 13287 13311 13241 12933 12004 12303 13050 13355 13452 13383 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 12866 13094 13173 13203 13393 12967 11849 11849 12559 12968 13059 12972 2011 12707 12930 12993 13003 12949 12617 11545 11629 12437 12822 12896 12808 2012 12539 12803 12844 12828 12796 12437 11418 11597 12364 12717 12814 12759 2013 12473 12762 12796 12799 12760 12404 11368 11579 12375 12725 12824 12746 2014 12462 12709 12779 12805 12761 12448 11418 11616 12434 12792 12888 12829 2015 12553 12823 12869 12902 12875 12541 11582 11743 12551 12898 12983 12942 2016 12663 12922 13011 13024 12983 12640 11750 11938 12742 13046 13135 13041 2017 12782 13055 13098 13105 13054 12726 11780 11986 12794 13102 13204 13140 2018 12838 13132 13174 13182 13159 12838 11881 12170 12927 13230 13318 13258 2019 12978 13232 13282 13306 13235 12928 11998 12296 13045 13351 13450 13390 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 -1 1 1 2 2 2 3 5 2019 4 6 5 5 6 5 6 7 5 4 2 -7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 44 90000000 Government Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -268 228 79 30 190 -426 -1118 0 710 409 91 -87 2011 -265 223 63 10 -54 -332 -1072 84 808 385 74 -88 2012 -269 264 41 -16 -32 -359 -1019 179 767 353 97 -55 2013 -286 289 34 3 -39 -356 -1036 211 796 350 99 -78 2014 -284 247 70 26 -44 -313 -1030 198 818 358 96 -59 2015 -276 270 46 33 -27 -334 -959 161 808 347 85 -41 2016 -279 259 89 13 -41 -343 -890 188 804 304 89 -94 2017 -259 273 43 7 -51 -328 -946 206 808 308 102 -64 2018 -302 294 42 7 -23 -319 -957 290 757 303 89 -58 2019 -281 256 49 24 -70 -308 -929 299 747 305 97 -69 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -268 228 79 30 190 -426 -1118 0 710 409 91 -87 2011 -265 223 63 10 -54 -332 -1072 84 808 385 74 -88 2012 -269 264 41 -16 -32 -359 -1019 179 767 353 97 -55 2013 -286 289 34 3 -39 -356 -1036 211 796 350 99 -78 2014 -284 247 70 26 -44 -313 -1030 198 818 358 96 -59 2015 -276 270 46 33 -27 -334 -959 161 808 347 85 -41 2016 -279 259 89 13 -41 -343 -890 188 804 304 89 -94 2017 -259 273 43 7 -51 -328 -946 206 808 308 102 -64 2018 -302 294 42 8 -23 -321 -957 289 757 303 88 -60 2019 -280 254 50 24 -71 -307 -930 298 749 306 99 -60 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 0 2 0 1 0 0 1 2 2019 -1 2 -1 0 1 -1 1 1 -2 -1 -2 -9 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 45 90910000 Federal Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1265 1270 1300 1337 1535 1435 1371 1314 1271 1270 1269 1273 2011 1269 1271 1278 1283 1279 1275 1274 1266 1260 1257 1254 1256 2012 1246 1246 1251 1255 1251 1255 1256 1251 1247 1246 1241 1247 2013 1236 1243 1239 1246 1236 1235 1228 1224 1220 1210 1216 1222 2014 1208 1205 1207 1212 1208 1212 1208 1210 1207 1205 1207 1220 2015 1206 1209 1215 1225 1220 1225 1224 1223 1219 1215 1220 1238 2016 1218 1222 1226 1231 1236 1243 1241 1240 1242 1234 1236 1257 2017 1238 1240 1239 1239 1243 1249 1246 1243 1244 1242 1246 1255 2018 1242 1239 1237 1242 1242 1252 1251 1250 1249 1253 1263 1271 2019 1252 1255 1253 1261 1264 1278 1277 1284 1286 1285 1294 1304 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1265 1270 1300 1337 1535 1435 1371 1314 1271 1270 1269 1273 2011 1269 1271 1278 1283 1279 1275 1274 1266 1260 1257 1254 1256 2012 1246 1246 1251 1255 1251 1255 1256 1251 1247 1246 1241 1247 2013 1236 1243 1239 1246 1236 1235 1228 1224 1220 1210 1216 1222 2014 1208 1205 1207 1212 1208 1212 1208 1210 1207 1205 1207 1220 2015 1206 1209 1215 1225 1220 1225 1224 1223 1219 1215 1220 1238 2016 1218 1222 1226 1231 1236 1243 1241 1240 1242 1234 1236 1257 2017 1238 1240 1239 1239 1243 1249 1246 1243 1244 1242 1246 1255 2018 1242 1239 1237 1242 1242 1251 1250 1248 1247 1250 1260 1267 2019 1248 1250 1248 1256 1259 1273 1272 1279 1281 1280 1293 1301 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 1 1 2 2 3 3 4 2019 4 5 5 5 5 5 5 5 5 5 1 3 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 46 90910000 Federal Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9 5 30 37 198 -100 -64 -57 -43 -1 -1 4 2011 -4 2 7 5 -4 -4 -1 -8 -6 -3 -3 2 2012 -10 0 5 4 -4 4 1 -5 -4 -1 -5 6 2013 -11 7 -4 7 -10 -1 -7 -4 -4 -10 6 6 2014 -14 -3 2 5 -4 4 -4 2 -3 -2 2 13 2015 -14 3 6 10 -5 5 -1 -1 -4 -4 5 18 2016 -20 4 4 5 5 7 -2 -1 2 -8 2 21 2017 -19 2 -1 0 4 6 -3 -3 1 -2 4 9 2018 -13 -3 -2 5 0 10 -1 -1 -1 4 10 8 2019 -19 3 -2 8 3 14 -1 7 2 -1 9 10 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9 5 30 37 198 -100 -64 -57 -43 -1 -1 4 2011 -4 2 7 5 -4 -4 -1 -8 -6 -3 -3 2 2012 -10 0 5 4 -4 4 1 -5 -4 -1 -5 6 2013 -11 7 -4 7 -10 -1 -7 -4 -4 -10 6 6 2014 -14 -3 2 5 -4 4 -4 2 -3 -2 2 13 2015 -14 3 6 10 -5 5 -1 -1 -4 -4 5 18 2016 -20 4 4 5 5 7 -2 -1 2 -8 2 21 2017 -19 2 -1 0 4 6 -3 -3 1 -2 4 9 2018 -13 -3 -2 5 0 9 -1 -2 -1 3 10 7 2019 -19 2 -2 8 3 14 -1 7 2 -1 13 8 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 1 0 1 0 1 0 1 2019 0 1 0 0 0 0 0 0 0 0 -4 2 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 47 90920000 State government Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2575 2690 2703 2707 2657 2522 2483 2492 2650 2730 2748 2716 2011 2611 2708 2721 2725 2670 2511 2480 2482 2655 2720 2733 2698 2012 2588 2711 2725 2735 2670 2515 2462 2495 2672 2736 2750 2715 2013 2592 2728 2743 2747 2668 2502 2451 2483 2663 2740 2753 2716 2014 2602 2718 2736 2744 2665 2506 2445 2472 2670 2749 2764 2738 2015 2630 2760 2773 2783 2711 2558 2513 2539 2736 2813 2822 2789 2016 2673 2790 2813 2821 2735 2591 2553 2586 2790 2850 2856 2818 2017 2712 2845 2860 2872 2789 2628 2589 2614 2811 2879 2896 2851 2018 2726 2856 2872 2881 2800 2652 2603 2644 2844 2905 2910 2874 2019 2749 2886 2896 2898 2797 2642 2602 2651 2840 2904 2923 2871 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2575 2690 2703 2707 2657 2522 2483 2492 2650 2730 2748 2716 2011 2611 2708 2721 2725 2670 2511 2480 2482 2655 2720 2733 2698 2012 2588 2711 2725 2735 2670 2515 2462 2495 2672 2736 2750 2715 2013 2592 2728 2743 2747 2668 2502 2451 2483 2663 2740 2753 2716 2014 2602 2718 2736 2744 2665 2506 2445 2472 2670 2749 2764 2738 2015 2630 2760 2773 2783 2711 2558 2513 2539 2736 2813 2822 2789 2016 2673 2790 2813 2821 2735 2591 2553 2586 2790 2850 2856 2818 2017 2712 2845 2860 2872 2789 2628 2589 2614 2811 2879 2896 2851 2018 2726 2856 2872 2882 2801 2653 2605 2646 2846 2908 2913 2877 2019 2753 2890 2901 2903 2801 2647 2607 2655 2845 2909 2923 2874 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 -1 -1 -2 -2 -2 -3 -3 -3 2019 -4 -4 -5 -5 -4 -5 -5 -4 -5 -5 0 -3 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 48 90920000 State government Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -105 115 13 4 -50 -135 -39 9 158 80 18 -32 2011 -105 97 13 4 -55 -159 -31 2 173 65 13 -35 2012 -110 123 14 10 -65 -155 -53 33 177 64 14 -35 2013 -123 136 15 4 -79 -166 -51 32 180 77 13 -37 2014 -114 116 18 8 -79 -159 -61 27 198 79 15 -26 2015 -108 130 13 10 -72 -153 -45 26 197 77 9 -33 2016 -116 117 23 8 -86 -144 -38 33 204 60 6 -38 2017 -106 133 15 12 -83 -161 -39 25 197 68 17 -45 2018 -125 130 16 9 -81 -148 -49 41 200 61 5 -36 2019 -125 137 10 2 -101 -155 -40 49 189 64 19 -52 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -105 115 13 4 -50 -135 -39 9 158 80 18 -32 2011 -105 97 13 4 -55 -159 -31 2 173 65 13 -35 2012 -110 123 14 10 -65 -155 -53 33 177 64 14 -35 2013 -123 136 15 4 -79 -166 -51 32 180 77 13 -37 2014 -114 116 18 8 -79 -159 -61 27 198 79 15 -26 2015 -108 130 13 10 -72 -153 -45 26 197 77 9 -33 2016 -116 117 23 8 -86 -144 -38 33 204 60 6 -38 2017 -106 133 15 12 -83 -161 -39 25 197 68 17 -45 2018 -125 130 16 10 -81 -148 -48 41 200 62 5 -36 2019 -124 137 11 2 -102 -154 -40 48 190 64 14 -49 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 -1 0 0 -1 0 0 -1 0 0 2019 -1 0 -1 0 1 -1 0 1 -1 0 5 -3 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 49 90930000 Local government Women Employees (in thousands), Not Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9026 9134 9170 9159 9201 9010 7995 8043 8638 8968 9042 8983 2011 8827 8951 8994 8995 9000 8831 7791 7881 8522 8845 8909 8854 2012 8705 8846 8868 8838 8875 8667 7700 7851 8445 8735 8823 8797 2013 8645 8791 8814 8806 8856 8667 7689 7872 8492 8775 8855 8808 2014 8652 8786 8836 8849 8888 8730 7765 7934 8557 8838 8917 8871 2015 8717 8854 8881 8894 8944 8758 7845 7981 8596 8870 8941 8915 2016 8772 8910 8972 8972 9012 8806 7956 8112 8710 8962 9043 8966 2017 8832 8970 8999 8994 9022 8849 7945 8129 8739 8981 9062 9034 2018 8870 9037 9065 9058 9116 8935 8028 8278 8836 9074 9148 9118 2019 8981 9097 9138 9152 9180 9013 8125 8368 8924 9166 9235 9208 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9026 9134 9170 9159 9201 9010 7995 8043 8638 8968 9042 8983 2011 8827 8951 8994 8995 9000 8831 7791 7881 8522 8845 8909 8854 2012 8705 8846 8868 8838 8875 8667 7700 7851 8445 8735 8823 8797 2013 8645 8791 8814 8806 8856 8667 7689 7872 8492 8775 8855 8808 2014 8652 8786 8836 8849 8888 8730 7765 7934 8557 8838 8917 8871 2015 8717 8854 8881 8894 8944 8758 7845 7981 8596 8870 8941 8915 2016 8772 8910 8972 8972 9012 8806 7956 8112 8710 8962 9043 8966 2017 8832 8970 8999 8994 9022 8849 7945 8129 8739 8981 9062 9034 2018 8870 9037 9065 9058 9116 8934 8026 8276 8834 9072 9145 9114 2019 8977 9092 9133 9147 9175 9008 8119 8362 8919 9162 9234 9215 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 1 2 2 2 2 3 4 2019 4 5 5 5 5 5 6 6 5 4 1 -7 p Comparison of Women Employees, Not Seasonally Adjusted, before and after the March 2019 Benchmark 50 90930000 Local government Women Employees (in thousands), Not Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -172 108 36 -11 42 -191 -1015 48 595 330 74 -59 2011 -156 124 43 1 5 -169 -1040 90 641 323 64 -55 2012 -149 141 22 -30 37 -208 -967 151 594 290 88 -26 2013 -152 146 23 -8 50 -189 -978 183 620 283 80 -47 2014 -156 134 50 13 39 -158 -965 169 623 281 79 -46 2015 -154 137 27 13 50 -186 -913 136 615 274 71 -26 2016 -143 138 62 0 40 -206 -850 156 598 252 81 -77 2017 -134 138 29 -5 28 -173 -904 184 610 242 81 -28 2018 -164 167 28 -7 58 -181 -907 250 558 238 74 -30 2019 -137 116 41 14 28 -167 -888 243 556 242 69 -27 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -172 108 36 -11 42 -191 -1015 48 595 330 74 -59 2011 -156 124 43 1 5 -169 -1040 90 641 323 64 -55 2012 -149 141 22 -30 37 -208 -967 151 594 290 88 -26 2013 -152 146 23 -8 50 -189 -978 183 620 283 80 -47 2014 -156 134 50 13 39 -158 -965 169 623 281 79 -46 2015 -154 137 27 13 50 -186 -913 136 615 274 71 -26 2016 -143 138 62 0 40 -206 -850 156 598 252 81 -77 2017 -134 138 29 -5 28 -173 -904 184 610 242 81 -28 2018 -164 167 28 -7 58 -182 -908 250 558 238 73 -31 2019 -137 115 41 14 28 -167 -889 243 557 243 72 -19 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 0 0 0 0 0 0 0 0 0 0 0 0 2015 0 0 0 0 0 0 0 0 0 0 0 0 2016 0 0 0 0 0 0 0 0 0 0 0 0 2017 0 0 0 0 0 0 0 0 0 0 0 0 2018 0 0 0 0 0 1 1 0 0 0 1 1 2019 0 1 0 0 0 0 1 0 -1 -1 -3 -8 p