Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 1 00000000 Total nonfarm Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 65084 65010 65078 65080 65300 65172 65081 65028 64956 65049 65087 65107 2011 65117 65161 65243 65394 65369 65445 65466 65485 65557 65655 65712 65778 2012 65955 66064 66155 66190 66295 66317 66401 66462 66541 66617 66702 66790 2013 66880 66961 67070 67194 67267 67336 67450 67594 67690 67770 67919 67965 2014 67977 68048 68155 68308 68391 68492 68568 68657 68834 68966 69105 69259 2015 69338 69479 69534 69650 69826 69954 70042 70101 70217 70373 70513 70649 2016 70769 70953 71095 71204 71296 71432 71665 71773 71918 71972 72030 72156 2017 72194 72284 72320 72400 72460 72538 72671 72750 72773 72885 73036 73102 2018 73208 73427 73516 73620 73805 73944 73990 74128 74210 74333 74459 74529 2019 74673 74766 74871 75016 75094 75169 75319 75454 75610 75731 75896 76016 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 65082 65006 65072 65076 65296 65168 65080 65026 64956 65047 65085 65106 2011 65115 65157 65237 65391 65364 65443 65466 65484 65558 65654 65712 65777 2012 65952 66061 66147 66187 66289 66316 66402 66463 66543 66617 66704 66791 2013 66876 66956 67067 67189 67265 67332 67449 67593 67688 67767 67920 67967 2014 67977 68054 68156 68309 68395 68491 68567 68657 68833 68964 69097 69246 2015 69327 69478 69538 69660 69831 69930 70052 70108 70202 70378 70503 70646 2016 70762 70950 71100 71213 71296 71454 71672 71783 71931 71968 72017 72133 2017 72208 72285 72327 72399 72453 72546 72683 72761 72795 72885 73012 73098 2018 73234 73421 73520 73646 73837 73999 74091 74229 74329 74480 74605 74724 2019 74890 74994 75119 75233 75329 75381 75549 75668 75832 75958 76107 76246 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 4 6 4 4 4 1 2 0 2 2 1 2011 2 4 6 3 5 2 0 1 -1 1 0 1 2012 3 3 8 3 6 1 -1 -1 -2 0 -2 -1 2013 4 5 3 5 2 4 1 1 2 3 -1 -2 2014 0 -6 -1 -1 -4 1 1 0 1 2 8 13 2015 11 1 -4 -10 -5 24 -10 -7 15 -5 10 3 2016 7 3 -5 -9 0 -22 -7 -10 -13 4 13 23 2017 -14 -1 -7 1 7 -8 -12 -11 -22 0 24 4 2018 -26 6 -4 -26 -32 -55 -101 -101 -119 -147 -146 -195 2019 -217 -228 -248 -217 -235 -212 -230 -214 -222 -227 -211 -230 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 2 00000000 Total nonfarm Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 20 -74 68 2 220 -128 -91 -53 -72 93 38 20 2011 10 44 82 151 -25 76 21 19 72 98 57 66 2012 177 109 91 35 105 22 84 61 79 76 85 88 2013 90 81 109 124 73 69 114 144 96 80 149 46 2014 12 71 107 153 83 101 76 89 177 132 139 154 2015 79 141 55 116 176 128 88 59 116 156 140 136 2016 120 184 142 109 92 136 233 108 145 54 58 126 2017 38 90 36 80 60 78 133 79 23 112 151 66 2018 106 219 89 104 185 139 46 138 82 123 126 70 2019 144 93 105 145 78 75 150 135 156 121 165 120 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 19 -76 66 4 220 -128 -88 -54 -70 91 38 21 2011 9 42 80 154 -27 79 23 18 74 96 58 65 2012 175 109 86 40 102 27 86 61 80 74 87 87 2013 85 80 111 122 76 67 117 144 95 79 153 47 2014 10 77 102 153 86 96 76 90 176 131 133 149 2015 81 151 60 122 171 99 122 56 94 176 125 143 2016 116 188 150 113 83 158 218 111 148 37 49 116 2017 75 77 42 72 54 93 137 78 34 90 127 86 2018 136 187 99 126 191 162 92 138 100 151 125 119 2019 166 104 125 114 96 52 168 119 164 126 149 139 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1 2 2 -2 0 0 -3 1 -2 2 0 -1 2011 1 2 2 -3 2 -3 -2 1 -2 2 -1 1 2012 2 0 5 -5 3 -5 -2 0 -1 2 -2 1 2013 5 1 -2 2 -3 2 -3 0 1 1 -4 -1 2014 2 -6 5 0 -3 5 0 -1 1 1 6 5 2015 -2 -10 -5 -6 5 29 -34 3 22 -20 15 -7 2016 4 -4 -8 -4 9 -22 15 -3 -3 17 9 10 2017 -37 13 -6 8 6 -15 -4 1 -11 22 24 -20 2018 -30 32 -10 -22 -6 -23 -46 0 -18 -28 1 -49 2019 -22 -11 -20 31 -18 23 -18 16 -8 -5 16 -19 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 3 05000000 Total private Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 52237 52175 52228 52206 52217 52200 52185 52230 52257 52337 52389 52420 2011 52420 52494 52576 52723 52729 52783 52849 52923 52993 53090 53167 53245 2012 53425 53542 53637 53684 53800 53823 53910 53976 54070 54154 54242 54322 2013 54414 54482 54594 54719 54801 54896 55009 55138 55223 55304 55451 55509 2014 55526 55595 55688 55823 55909 56002 56082 56194 56324 56450 56574 56719 2015 56787 56902 56969 57068 57231 57351 57429 57486 57601 57746 57878 57998 2016 58105 58268 58383 58492 58581 58721 58866 58983 59122 59189 59247 59368 2017 59407 59490 59517 59595 59664 59731 59847 59926 59939 60051 60183 60252 2018 60368 60549 60634 60737 60898 61018 61066 61175 61250 61372 61493 61556 2019 61689 61777 61871 62003 62082 62143 62275 62378 62533 62650 62804 62921 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 52235 52171 52222 52202 52213 52196 52184 52228 52257 52335 52387 52419 2011 52418 52490 52570 52720 52724 52781 52849 52922 52994 53089 53167 53244 2012 53422 53539 53629 53681 53794 53822 53911 53977 54072 54154 54244 54323 2013 54410 54477 54591 54714 54799 54892 55008 55137 55221 55301 55452 55511 2014 55526 55601 55689 55824 55913 56001 56081 56194 56323 56448 56566 56706 2015 56779 56904 56974 57076 57228 57340 57440 57492 57587 57755 57872 57991 2016 58099 58269 58389 58499 58575 58723 58871 58991 59129 59181 59237 59350 2017 59411 59490 59525 59592 59656 59729 59856 59934 59951 60045 60161 60239 2018 60378 60546 60639 60757 60931 61074 61163 61273 61364 61514 61640 61748 2019 61899 62009 62125 62227 62329 62387 62505 62600 62755 62877 63012 63145 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 4 6 4 4 4 1 2 0 2 2 1 2011 2 4 6 3 5 2 0 1 -1 1 0 1 2012 3 3 8 3 6 1 -1 -1 -2 0 -2 -1 2013 4 5 3 5 2 4 1 1 2 3 -1 -2 2014 0 -6 -1 -1 -4 1 1 0 1 2 8 13 2015 8 -2 -5 -8 3 11 -11 -6 14 -9 6 7 2016 6 -1 -6 -7 6 -2 -5 -8 -7 8 10 18 2017 -4 0 -8 3 8 2 -9 -8 -12 6 22 13 2018 -10 3 -5 -20 -33 -56 -97 -98 -114 -142 -147 -192 2019 -210 -232 -254 -224 -247 -244 -230 -222 -222 -227 -208 -224 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 4 05000000 Total private Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 24 -62 53 -22 11 -17 -15 45 27 80 52 31 2011 0 74 82 147 6 54 66 74 70 97 77 78 2012 180 117 95 47 116 23 87 66 94 84 88 80 2013 92 68 112 125 82 95 113 129 85 81 147 58 2014 17 69 93 135 86 93 80 112 130 126 124 145 2015 68 115 67 99 163 120 78 57 115 145 132 120 2016 107 163 115 109 89 140 145 117 139 67 58 121 2017 39 83 27 78 69 67 116 79 13 112 132 69 2018 116 181 85 103 161 120 48 109 75 122 121 63 2019 133 88 94 132 79 61 132 103 155 117 154 117 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 23 -64 51 -20 11 -17 -12 44 29 78 52 32 2011 -1 72 80 150 4 57 68 73 72 95 78 77 2012 178 117 90 52 113 28 89 66 95 82 90 79 2013 87 67 114 123 85 93 116 129 84 80 151 59 2014 15 75 88 135 89 88 80 113 129 125 118 140 2015 73 125 70 102 152 112 100 52 95 168 117 119 2016 108 170 120 110 76 148 148 120 138 52 56 113 2017 61 79 35 67 64 73 127 78 17 94 116 78 2018 139 168 93 118 174 143 89 110 91 150 126 108 2019 151 110 116 102 102 58 118 95 155 122 135 133 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1 2 2 -2 0 0 -3 1 -2 2 0 -1 2011 1 2 2 -3 2 -3 -2 1 -2 2 -1 1 2012 2 0 5 -5 3 -5 -2 0 -1 2 -2 1 2013 5 1 -2 2 -3 2 -3 0 1 1 -4 -1 2014 2 -6 5 0 -3 5 0 -1 1 1 6 5 2015 -5 -10 -3 -3 11 8 -22 5 20 -23 15 1 2016 -1 -7 -5 -1 13 -8 -3 -3 1 15 2 8 2017 -22 4 -8 11 5 -6 -11 1 -4 18 16 -9 2018 -23 13 -8 -15 -13 -23 -41 -1 -16 -28 -5 -45 2019 -18 -22 -22 30 -23 3 14 8 0 -5 19 -16 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 5 06000000 Goods-producing Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4120 4106 4099 4097 4103 4095 4092 4087 4074 4063 4066 4067 2011 4062 4066 4069 4065 4056 4059 4057 4051 4051 4054 4046 4049 2012 4064 4065 4079 4089 4090 4099 4108 4108 4105 4104 4100 4099 2013 4109 4110 4109 4112 4117 4118 4119 4124 4131 4140 4155 4153 2014 4155 4172 4178 4184 4190 4199 4203 4223 4236 4250 4261 4271 2015 4270 4272 4275 4280 4284 4295 4296 4284 4285 4289 4297 4297 2016 4311 4311 4314 4316 4312 4319 4317 4320 4327 4336 4337 4350 2017 4357 4369 4368 4378 4387 4392 4397 4413 4422 4432 4449 4467 2018 4478 4506 4520 4535 4558 4575 4588 4602 4617 4632 4646 4648 2019 4666 4671 4682 4688 4698 4702 4723 4724 4734 4735 4755 4764 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4120 4106 4099 4097 4103 4095 4092 4087 4074 4063 4066 4067 2011 4062 4066 4069 4065 4056 4059 4057 4051 4051 4054 4046 4049 2012 4064 4065 4079 4089 4090 4099 4108 4108 4105 4104 4100 4099 2013 4109 4110 4109 4112 4117 4118 4119 4124 4131 4140 4155 4153 2014 4155 4172 4178 4184 4190 4199 4203 4223 4236 4250 4261 4271 2015 4270 4271 4274 4279 4284 4292 4306 4285 4285 4290 4297 4297 2016 4310 4311 4313 4316 4311 4318 4319 4321 4330 4335 4338 4353 2017 4356 4364 4368 4377 4384 4391 4401 4414 4426 4432 4452 4464 2018 4478 4501 4518 4534 4557 4574 4593 4602 4619 4637 4651 4651 2019 4671 4676 4690 4692 4706 4710 4727 4724 4736 4741 4755 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 1 1 1 0 3 -10 -1 0 -1 0 0 2016 1 0 1 0 1 1 -2 -1 -3 1 -1 -3 2017 1 5 0 1 3 1 -4 -1 -4 0 -3 3 2018 0 5 2 1 1 1 -5 0 -2 -5 -5 -3 2019 -5 -5 -8 -4 -8 -8 -4 0 -2 -6 0 0 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 6 06000000 Goods-producing Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -4 -14 -7 -2 6 -8 -3 -5 -13 -11 3 1 2011 -5 4 3 -4 -9 3 -2 -6 0 3 -8 3 2012 15 1 14 10 1 9 9 0 -3 -1 -4 -1 2013 10 1 -1 3 5 1 1 5 7 9 15 -2 2014 2 17 6 6 6 9 4 20 13 14 11 10 2015 -1 2 3 5 4 11 1 -12 1 4 8 0 2016 14 0 3 2 -4 7 -2 3 7 9 1 13 2017 7 12 -1 10 9 5 5 16 9 10 17 18 2018 11 28 14 15 23 17 13 14 15 15 14 2 2019 18 5 11 6 10 4 21 1 10 1 20 9 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -4 -14 -7 -2 6 -8 -3 -5 -13 -11 3 1 2011 -5 4 3 -4 -9 3 -2 -6 0 3 -8 3 2012 15 1 14 10 1 9 9 0 -3 -1 -4 -1 2013 10 1 -1 3 5 1 1 5 7 9 15 -2 2014 2 17 6 6 6 9 4 20 13 14 11 10 2015 -1 1 3 5 5 8 14 -21 0 5 7 0 2016 13 1 2 3 -5 7 1 2 9 5 3 15 2017 3 8 4 9 7 7 10 13 12 6 20 12 2018 14 23 17 16 23 17 19 9 17 18 14 0 2019 20 5 14 2 14 4 17 -3 12 5 14 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 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 1 0 0 -1 3 -13 9 1 -1 1 0 2016 1 -1 1 -1 1 0 -3 1 -2 4 -2 -2 2017 4 4 -5 1 2 -2 -5 3 -3 4 -3 6 2018 -3 5 -3 -1 0 0 -6 5 -2 -3 0 2 2019 -2 0 -3 4 -4 0 4 4 -2 -4 6 0 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 7 07000000 Service-providing Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 60964 60904 60979 60983 61197 61077 60989 60941 60882 60986 61021 61040 2011 61055 61095 61174 61329 61313 61386 61409 61434 61506 61601 61666 61729 2012 61891 61999 62076 62101 62205 62218 62293 62354 62436 62513 62602 62691 2013 62771 62851 62961 63082 63150 63218 63331 63470 63559 63630 63764 63812 2014 63822 63876 63977 64124 64201 64293 64365 64434 64598 64716 64844 64988 2015 65068 65207 65259 65370 65542 65659 65746 65817 65932 66084 66216 66352 2016 66458 66642 66781 66888 66984 67113 67348 67453 67591 67636 67693 67806 2017 67837 67915 67952 68022 68073 68146 68274 68337 68351 68453 68587 68635 2018 68730 68921 68996 69085 69247 69369 69402 69526 69593 69701 69813 69881 2019 70007 70095 70189 70328 70396 70467 70596 70730 70876 70996 71141 71252 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 60962 60900 60973 60979 61193 61073 60988 60939 60882 60984 61019 61039 2011 61053 61091 61168 61326 61308 61384 61409 61433 61507 61600 61666 61728 2012 61888 61996 62068 62098 62199 62217 62294 62355 62438 62513 62604 62692 2013 62767 62846 62958 63077 63148 63214 63330 63469 63557 63627 63765 63814 2014 63822 63882 63978 64125 64205 64292 64364 64434 64597 64714 64836 64975 2015 65057 65207 65264 65381 65547 65638 65746 65823 65917 66088 66206 66349 2016 66452 66639 66787 66897 66985 67136 67353 67462 67601 67633 67679 67780 2017 67852 67921 67959 68022 68069 68155 68282 68347 68369 68453 68560 68634 2018 68756 68920 69002 69112 69280 69425 69498 69627 69710 69843 69954 70073 2019 70219 70318 70429 70541 70623 70671 70822 70944 71096 71217 71352 71482 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 4 6 4 4 4 1 2 0 2 2 1 2011 2 4 6 3 5 2 0 1 -1 1 0 1 2012 3 3 8 3 6 1 -1 -1 -2 0 -2 -1 2013 4 5 3 5 2 4 1 1 2 3 -1 -2 2014 0 -6 -1 -1 -4 1 1 0 1 2 8 13 2015 11 0 -5 -11 -5 21 0 -6 15 -4 10 3 2016 6 3 -6 -9 -1 -23 -5 -9 -10 3 14 26 2017 -15 -6 -7 0 4 -9 -8 -10 -18 0 27 1 2018 -26 1 -6 -27 -33 -56 -96 -101 -117 -142 -141 -192 2019 -212 -223 -240 -213 -227 -204 -226 -214 -220 -221 -211 -230 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 8 07000000 Service-providing Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 24 -60 75 4 214 -120 -88 -48 -59 104 35 19 2011 15 40 79 155 -16 73 23 25 72 95 65 63 2012 162 108 77 25 104 13 75 61 82 77 89 89 2013 80 80 110 121 68 68 113 139 89 71 134 48 2014 10 54 101 147 77 92 72 69 164 118 128 144 2015 80 139 52 111 172 117 87 71 115 152 132 136 2016 106 184 139 107 96 129 235 105 138 45 57 113 2017 31 78 37 70 51 73 128 63 14 102 134 48 2018 95 191 75 89 162 122 33 124 67 108 112 68 2019 126 88 94 139 68 71 129 134 146 120 145 111 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 23 -62 73 6 214 -120 -85 -49 -57 102 35 20 2011 14 38 77 158 -18 76 25 24 74 93 66 62 2012 160 108 72 30 101 18 77 61 83 75 91 88 2013 75 79 112 119 71 66 116 139 88 70 138 49 2014 8 60 96 147 80 87 72 70 163 117 122 139 2015 82 150 57 117 166 91 108 77 94 171 118 143 2016 103 187 148 110 88 151 217 109 139 32 46 101 2017 72 69 38 63 47 86 127 65 22 84 107 74 2018 122 164 82 110 168 145 73 129 83 133 111 119 2019 146 99 111 112 82 48 151 122 152 121 135 130 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1 2 2 -2 0 0 -3 1 -2 2 0 -1 2011 1 2 2 -3 2 -3 -2 1 -2 2 -1 1 2012 2 0 5 -5 3 -5 -2 0 -1 2 -2 1 2013 5 1 -2 2 -3 2 -3 0 1 1 -4 -1 2014 2 -6 5 0 -3 5 0 -1 1 1 6 5 2015 -2 -11 -5 -6 6 26 -21 -6 21 -19 14 -7 2016 3 -3 -9 -3 8 -22 18 -4 -1 13 11 12 2017 -41 9 -1 7 4 -13 1 -2 -8 18 27 -26 2018 -27 27 -7 -21 -6 -23 -40 -5 -16 -25 1 -51 2019 -20 -11 -17 27 -14 23 -22 12 -6 -1 10 -19 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 9 08000000 Private service-providing Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 48117 48069 48129 48109 48114 48105 48093 48143 48183 48274 48323 48353 2011 48358 48428 48507 48658 48673 48724 48792 48872 48942 49036 49121 49196 2012 49361 49477 49558 49595 49710 49724 49802 49868 49965 50050 50142 50223 2013 50305 50372 50485 50607 50684 50778 50890 51014 51092 51164 51296 51356 2014 51371 51423 51510 51639 51719 51803 51879 51971 52088 52200 52313 52448 2015 52517 52630 52694 52788 52947 53056 53133 53202 53316 53457 53581 53701 2016 53794 53957 54069 54176 54269 54402 54549 54663 54795 54853 54910 55018 2017 55050 55121 55149 55217 55277 55339 55450 55513 55517 55619 55734 55785 2018 55890 56043 56114 56202 56340 56443 56478 56573 56633 56740 56847 56908 2019 57023 57106 57189 57315 57384 57441 57552 57654 57799 57915 58049 58157 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 48115 48065 48123 48105 48110 48101 48092 48141 48183 48272 48321 48352 2011 48356 48424 48501 48655 48668 48722 48792 48871 48943 49035 49121 49195 2012 49358 49474 49550 49592 49704 49723 49803 49869 49967 50050 50144 50224 2013 50301 50367 50482 50602 50682 50774 50889 51013 51090 51161 51297 51358 2014 51371 51429 51511 51640 51723 51802 51878 51971 52087 52198 52305 52435 2015 52509 52633 52700 52797 52944 53048 53134 53207 53302 53465 53575 53694 2016 53789 53958 54076 54183 54264 54405 54552 54670 54799 54846 54899 54997 2017 55055 55126 55157 55215 55272 55338 55455 55520 55525 55613 55709 55775 2018 55900 56045 56121 56223 56374 56500 56570 56671 56745 56877 56989 57097 2019 57228 57333 57435 57535 57623 57677 57778 57876 58019 58136 58257 58381 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 4 6 4 4 4 1 2 0 2 2 1 2011 2 4 6 3 5 2 0 1 -1 1 0 1 2012 3 3 8 3 6 1 -1 -1 -2 0 -2 -1 2013 4 5 3 5 2 4 1 1 2 3 -1 -2 2014 0 -6 -1 -1 -4 1 1 0 1 2 8 13 2015 8 -3 -6 -9 3 8 -1 -5 14 -8 6 7 2016 5 -1 -7 -7 5 -3 -3 -7 -4 7 11 21 2017 -5 -5 -8 2 5 1 -5 -7 -8 6 25 10 2018 -10 -2 -7 -21 -34 -57 -92 -98 -112 -137 -142 -189 2019 -205 -227 -246 -220 -239 -236 -226 -222 -220 -221 -208 -224 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 10 08000000 Private service-providing Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 28 -48 60 -20 5 -9 -12 50 40 91 49 30 2011 5 70 79 151 15 51 68 80 70 94 85 75 2012 165 116 81 37 115 14 78 66 97 85 92 81 2013 82 67 113 122 77 94 112 124 78 72 132 60 2014 15 52 87 129 80 84 76 92 117 112 113 135 2015 69 113 64 94 159 109 77 69 114 141 124 120 2016 93 163 112 107 93 133 147 114 132 58 57 108 2017 32 71 28 68 60 62 111 63 4 102 115 51 2018 105 153 71 88 138 103 35 95 60 107 107 61 2019 115 83 83 126 69 57 111 102 145 116 134 108 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 27 -50 58 -18 5 -9 -9 49 42 89 49 31 2011 4 68 77 154 13 54 70 79 72 92 86 74 2012 163 116 76 42 112 19 80 66 98 83 94 80 2013 77 66 115 120 80 92 115 124 77 71 136 61 2014 13 58 82 129 83 79 76 93 116 111 107 130 2015 74 124 67 97 147 104 86 73 95 163 110 119 2016 95 169 118 107 81 141 147 118 129 47 53 98 2017 58 71 31 58 57 66 117 65 5 88 96 66 2018 125 145 76 102 151 126 70 101 74 132 112 108 2019 131 105 102 100 88 54 101 98 143 117 121 124 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1 2 2 -2 0 0 -3 1 -2 2 0 -1 2011 1 2 2 -3 2 -3 -2 1 -2 2 -1 1 2012 2 0 5 -5 3 -5 -2 0 -1 2 -2 1 2013 5 1 -2 2 -3 2 -3 0 1 1 -4 -1 2014 2 -6 5 0 -3 5 0 -1 1 1 6 5 2015 -5 -11 -3 -3 12 5 -9 -4 19 -22 14 1 2016 -2 -6 -6 0 12 -8 0 -4 3 11 4 10 2017 -26 0 -3 10 3 -4 -6 -2 -1 14 19 -15 2018 -20 8 -5 -14 -13 -23 -35 -6 -14 -25 -5 -47 2019 -16 -22 -19 26 -19 3 10 4 2 -1 13 -16 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 11 10000000 Mining and logging Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 95 95 96 97 97 97 97 99 99 99 100 99 2011 101 102 102 103 104 104 105 106 106 108 108 110 2012 110 111 112 111 112 113 114 113 113 113 114 114 2013 115 115 116 117 117 116 115 116 115 115 114 114 2014 114 115 115 117 117 118 119 120 121 121 122 121 2015 121 120 119 117 114 113 113 111 110 109 108 107 2016 106 103 102 100 98 97 96 95 95 94 93 93 2017 92 92 91 92 92 91 91 90 90 90 91 90 2018 90 91 91 91 92 92 91 92 92 93 93 93 2019 94 94 94 95 95 96 97 97 99 98 96 97 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 95 95 96 97 97 97 97 99 99 99 100 99 2011 101 102 102 103 104 104 105 106 106 108 108 110 2012 110 111 112 111 112 113 114 113 113 113 114 114 2013 115 115 116 117 117 116 115 116 115 115 114 114 2014 114 115 115 117 117 118 119 120 121 121 122 121 2015 121 120 119 117 114 113 113 112 110 109 108 107 2016 106 103 102 100 98 97 96 95 95 94 93 93 2017 92 92 91 92 92 91 91 90 90 90 91 90 2018 90 91 91 91 93 93 93 93 93 94 95 95 2019 96 96 97 97 98 99 100 100 102 101 100 101 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 -1 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 -1 -1 -2 -1 -1 -1 -2 -2 2019 -2 -2 -3 -2 -3 -3 -3 -3 -3 -3 -4 -4 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 12 10000000 Mining and logging Women Employees (in thousands), 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 1 1 0 0 0 2 0 0 1 -1 2011 2 1 0 1 1 0 1 1 0 2 0 2 2012 0 1 1 -1 1 1 1 -1 0 0 1 0 2013 1 0 1 1 0 -1 -1 1 -1 0 -1 0 2014 0 1 0 2 0 1 1 1 1 0 1 -1 2015 0 -1 -1 -2 -3 -1 0 -2 -1 -1 -1 -1 2016 -1 -3 -1 -2 -2 -1 -1 -1 0 -1 -1 0 2017 -1 0 -1 1 0 -1 0 -1 0 0 1 -1 2018 0 1 0 0 1 0 -1 1 0 1 0 0 2019 1 0 0 1 0 1 1 0 2 -1 -2 1 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 1 1 0 0 0 2 0 0 1 -1 2011 2 1 0 1 1 0 1 1 0 2 0 2 2012 0 1 1 -1 1 1 1 -1 0 0 1 0 2013 1 0 1 1 0 -1 -1 1 -1 0 -1 0 2014 0 1 0 2 0 1 1 1 1 0 1 -1 2015 0 -1 -1 -2 -3 -1 0 -1 -2 -1 -1 -1 2016 -1 -3 -1 -2 -2 -1 -1 -1 0 -1 -1 0 2017 -1 0 -1 1 0 -1 0 -1 0 0 1 -1 2018 0 1 0 0 2 0 0 0 0 1 1 0 2019 1 0 1 0 1 1 1 0 2 -1 -1 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 -1 1 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 -1 0 -1 1 0 0 -1 0 2019 0 0 -1 1 -1 0 0 0 0 0 -1 0 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 13 20000000 Construction Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 743 738 734 730 728 725 721 717 712 710 710 708 2011 708 710 709 710 707 709 711 710 712 714 714 716 2012 717 717 717 719 718 721 727 728 730 729 731 734 2013 737 738 740 742 745 746 747 749 751 753 756 755 2014 758 763 768 769 772 777 781 785 788 795 797 802 2015 802 803 802 808 812 815 819 818 818 816 821 819 2016 827 830 837 837 836 838 838 841 843 852 851 857 2017 861 868 866 871 875 876 880 885 890 892 898 904 2018 910 921 921 924 927 932 934 938 945 948 956 954 2019 959 959 962 962 969 970 975 976 974 980 983 987 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 743 738 734 730 728 725 721 717 712 710 710 708 2011 708 710 709 710 707 709 711 710 712 714 714 716 2012 717 717 717 719 718 721 727 728 730 729 731 734 2013 737 738 740 742 745 746 747 749 751 753 756 755 2014 758 763 768 769 772 777 781 785 788 795 797 802 2015 802 803 802 808 812 815 821 818 818 815 821 819 2016 827 829 837 837 836 838 838 841 845 852 852 858 2017 861 866 866 870 875 876 881 886 892 892 899 904 2018 910 918 920 923 927 933 935 939 945 950 958 956 2019 961 960 965 964 971 973 976 977 975 981 983 988 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 -2 0 0 1 0 0 2016 0 1 0 0 0 0 0 0 -2 0 -1 -1 2017 0 2 0 1 0 0 -1 -1 -2 0 -1 0 2018 0 3 1 1 0 -1 -1 -1 0 -2 -2 -2 2019 -2 -1 -3 -2 -2 -3 -1 -1 -1 -1 0 -1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 14 20000000 Construction Women Employees (in thousands), 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 -4 -4 -2 -3 -4 -4 -5 -2 0 -2 2011 0 2 -1 1 -3 2 2 -1 2 2 0 2 2012 1 0 0 2 -1 3 6 1 2 -1 2 3 2013 3 1 2 2 3 1 1 2 2 2 3 -1 2014 3 5 5 1 3 5 4 4 3 7 2 5 2015 0 1 -1 6 4 3 4 -1 0 -2 5 -2 2016 8 3 7 0 -1 2 0 3 2 9 -1 6 2017 4 7 -2 5 4 1 4 5 5 2 6 6 2018 6 11 0 3 3 5 2 4 7 3 8 -2 2019 5 0 3 0 7 1 5 1 -2 6 3 4 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 -4 -4 -2 -3 -4 -4 -5 -2 0 -2 2011 0 2 -1 1 -3 2 2 -1 2 2 0 2 2012 1 0 0 2 -1 3 6 1 2 -1 2 3 2013 3 1 2 2 3 1 1 2 2 2 3 -1 2014 3 5 5 1 3 5 4 4 3 7 2 5 2015 0 1 -1 6 4 3 6 -3 0 -3 6 -2 2016 8 2 8 0 -1 2 0 3 4 7 0 6 2017 3 5 0 4 5 1 5 5 6 0 7 5 2018 6 8 2 3 4 6 2 4 6 5 8 -2 2019 5 -1 5 -1 7 2 3 1 -2 6 2 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 -2 2 0 1 -1 0 2016 0 1 -1 0 0 0 0 0 -2 2 -1 0 2017 1 2 -2 1 -1 0 -1 0 -1 2 -1 1 2018 0 3 -2 0 -1 -1 0 0 1 -2 0 0 2019 0 1 -2 1 0 -1 2 0 0 0 1 -1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 15 30000000 Manufacturing Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3282 3273 3269 3270 3278 3273 3274 3271 3263 3254 3256 3260 2011 3253 3254 3258 3252 3245 3246 3241 3235 3233 3232 3224 3223 2012 3237 3237 3250 3259 3260 3265 3267 3267 3262 3262 3255 3251 2013 3257 3257 3253 3253 3255 3256 3257 3259 3265 3272 3285 3284 2014 3283 3294 3295 3298 3301 3304 3303 3318 3327 3334 3342 3348 2015 3347 3349 3354 3355 3358 3367 3364 3355 3357 3364 3368 3371 2016 3378 3378 3375 3379 3378 3384 3383 3384 3389 3390 3393 3400 2017 3404 3409 3411 3415 3420 3425 3426 3438 3442 3450 3460 3473 2018 3478 3494 3508 3520 3539 3551 3563 3572 3580 3591 3597 3601 2019 3613 3618 3626 3631 3634 3636 3651 3651 3661 3657 3676 3680 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3282 3273 3269 3270 3278 3273 3274 3271 3263 3254 3256 3260 2011 3253 3254 3258 3252 3245 3246 3241 3235 3233 3232 3224 3223 2012 3237 3237 3250 3259 3260 3265 3267 3267 3262 3262 3255 3251 2013 3257 3257 3253 3253 3255 3256 3257 3259 3265 3272 3285 3284 2014 3283 3294 3295 3298 3301 3304 3303 3318 3327 3334 3342 3348 2015 3347 3348 3353 3354 3358 3364 3372 3355 3357 3366 3368 3371 2016 3377 3379 3374 3379 3377 3383 3385 3385 3390 3389 3393 3402 2017 3403 3406 3411 3415 3417 3424 3429 3438 3444 3450 3462 3470 2018 3478 3492 3507 3520 3537 3548 3565 3570 3581 3593 3598 3600 2019 3614 3620 3628 3631 3637 3638 3651 3647 3659 3659 3672 3675 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 1 1 1 0 3 -8 0 0 -2 0 0 2016 1 -1 1 0 1 1 -2 -1 -1 1 0 -2 2017 1 3 0 0 3 1 -3 0 -2 0 -2 3 2018 0 2 1 0 2 3 -2 2 -1 -2 -1 1 2019 -1 -2 -2 0 -3 -2 0 4 2 -2 4 5 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 16 30000000 Manufacturing Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6 -9 -4 1 8 -5 1 -3 -8 -9 2 4 2011 -7 1 4 -6 -7 1 -5 -6 -2 -1 -8 -1 2012 14 0 13 9 1 5 2 0 -5 0 -7 -4 2013 6 0 -4 0 2 1 1 2 6 7 13 -1 2014 -1 11 1 3 3 3 -1 15 9 7 8 6 2015 -1 2 5 1 3 9 -3 -9 2 7 4 3 2016 7 0 -3 4 -1 6 -1 1 5 1 3 7 2017 4 5 2 4 5 5 1 12 4 8 10 13 2018 5 16 14 12 19 12 12 9 8 11 6 4 2019 12 5 8 5 3 2 15 0 10 -4 19 4 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6 -9 -4 1 8 -5 1 -3 -8 -9 2 4 2011 -7 1 4 -6 -7 1 -5 -6 -2 -1 -8 -1 2012 14 0 13 9 1 5 2 0 -5 0 -7 -4 2013 6 0 -4 0 2 1 1 2 6 7 13 -1 2014 -1 11 1 3 3 3 -1 15 9 7 8 6 2015 -1 1 5 1 4 6 8 -17 2 9 2 3 2016 6 2 -5 5 -2 6 2 0 5 -1 4 9 2017 1 3 5 4 2 7 5 9 6 6 12 8 2018 8 14 15 13 17 11 17 5 11 12 5 2 2019 14 6 8 3 6 1 13 -4 12 0 13 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 1 0 0 -1 3 -11 8 0 -2 2 0 2016 1 -2 2 -1 1 0 -3 1 0 2 -1 -2 2017 3 2 -3 0 3 -2 -4 3 -2 2 -2 5 2018 -3 2 -1 -1 2 1 -5 4 -3 -1 1 2 2019 -2 -1 0 2 -3 1 2 4 -2 -4 6 1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 17 31000000 Durable goods Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1734 1728 1724 1727 1732 1726 1729 1730 1723 1717 1718 1719 2011 1720 1721 1722 1716 1714 1719 1714 1713 1713 1712 1707 1714 2012 1719 1721 1727 1731 1732 1734 1737 1734 1730 1733 1733 1735 2013 1736 1737 1736 1738 1737 1738 1738 1740 1744 1747 1755 1752 2014 1747 1754 1755 1756 1763 1765 1766 1771 1778 1784 1789 1793 2015 1796 1798 1801 1802 1806 1812 1806 1801 1803 1803 1804 1802 2016 1805 1805 1804 1807 1805 1803 1801 1800 1802 1803 1803 1809 2017 1808 1805 1805 1806 1807 1810 1806 1812 1816 1820 1827 1833 2018 1837 1848 1855 1861 1866 1875 1885 1892 1898 1905 1908 1911 2019 1914 1919 1925 1927 1931 1934 1944 1943 1945 1937 1951 1954 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1734 1728 1724 1727 1732 1726 1729 1730 1723 1717 1718 1719 2011 1720 1721 1722 1716 1714 1719 1714 1713 1713 1712 1707 1714 2012 1719 1721 1727 1731 1732 1734 1737 1734 1730 1733 1733 1735 2013 1736 1737 1736 1738 1737 1738 1738 1740 1744 1747 1755 1752 2014 1747 1754 1755 1756 1763 1765 1766 1771 1778 1784 1789 1793 2015 1796 1798 1800 1802 1806 1811 1807 1801 1803 1805 1804 1802 2016 1804 1805 1803 1807 1805 1803 1803 1801 1803 1803 1803 1808 2017 1806 1803 1804 1805 1806 1810 1809 1814 1818 1821 1829 1831 2018 1835 1846 1853 1860 1866 1875 1889 1894 1900 1907 1908 1911 2019 1914 1919 1926 1928 1933 1938 1946 1942 1946 1942 1951 1955 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 1 0 0 1 -1 0 0 -2 0 0 2016 1 0 1 0 0 0 -2 -1 -1 0 0 1 2017 2 2 1 1 1 0 -3 -2 -2 -1 -2 2 2018 2 2 2 1 0 0 -4 -2 -2 -2 0 0 2019 0 0 -1 -1 -2 -4 -2 1 -1 -5 0 -1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 18 31000000 Durable goods Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3 -6 -4 3 5 -6 3 1 -7 -6 1 1 2011 1 1 1 -6 -2 5 -5 -1 0 -1 -5 7 2012 5 2 6 4 1 2 3 -3 -4 3 0 2 2013 1 1 -1 2 -1 1 0 2 4 3 8 -3 2014 -5 7 1 1 7 2 1 5 7 6 5 4 2015 3 2 3 1 4 6 -6 -5 2 0 1 -2 2016 3 0 -1 3 -2 -2 -2 -1 2 1 0 6 2017 -1 -3 0 1 1 3 -4 6 4 4 7 6 2018 4 11 7 6 5 9 10 7 6 7 3 3 2019 3 5 6 2 4 3 10 -1 2 -8 14 3 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3 -6 -4 3 5 -6 3 1 -7 -6 1 1 2011 1 1 1 -6 -2 5 -5 -1 0 -1 -5 7 2012 5 2 6 4 1 2 3 -3 -4 3 0 2 2013 1 1 -1 2 -1 1 0 2 4 3 8 -3 2014 -5 7 1 1 7 2 1 5 7 6 5 4 2015 3 2 2 2 4 5 -4 -6 2 2 -1 -2 2016 2 1 -2 4 -2 -2 0 -2 2 0 0 5 2017 -2 -3 1 1 1 4 -1 5 4 3 8 2 2018 4 11 7 7 6 9 14 5 6 7 1 3 2019 3 5 7 2 5 5 8 -4 4 -4 9 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 1 -1 0 1 -2 1 0 -2 2 0 2016 1 -1 1 -1 0 0 -2 1 0 1 0 1 2017 1 0 -1 0 0 -1 -3 1 0 1 -1 4 2018 0 0 0 -1 -1 0 -4 2 0 0 2 0 2019 0 0 -1 0 -1 -2 2 3 -2 -4 5 -1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 19 32000000 Nondurable goods Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1548 1545 1545 1543 1546 1547 1545 1541 1540 1537 1538 1541 2011 1533 1533 1536 1536 1531 1527 1527 1522 1520 1520 1517 1509 2012 1518 1516 1523 1528 1528 1531 1530 1533 1532 1529 1522 1516 2013 1521 1520 1517 1515 1518 1518 1519 1519 1521 1525 1530 1532 2014 1536 1540 1540 1542 1538 1539 1537 1547 1549 1550 1553 1555 2015 1551 1551 1553 1553 1552 1555 1558 1554 1554 1561 1564 1569 2016 1573 1573 1571 1572 1573 1581 1582 1584 1587 1587 1590 1591 2017 1596 1604 1606 1609 1613 1615 1620 1626 1626 1630 1633 1640 2018 1641 1646 1653 1659 1673 1676 1678 1680 1682 1686 1689 1690 2019 1699 1699 1701 1704 1703 1702 1707 1708 1716 1720 1725 1726 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1548 1545 1545 1543 1546 1547 1545 1541 1540 1537 1538 1541 2011 1533 1533 1536 1536 1531 1527 1527 1522 1520 1520 1517 1509 2012 1518 1516 1523 1528 1528 1531 1530 1533 1532 1529 1522 1516 2013 1521 1520 1517 1515 1518 1518 1519 1519 1521 1525 1530 1532 2014 1536 1540 1540 1542 1538 1539 1537 1547 1549 1550 1553 1555 2015 1551 1550 1553 1552 1552 1553 1565 1554 1554 1561 1564 1569 2016 1573 1574 1571 1572 1572 1580 1582 1584 1587 1586 1590 1594 2017 1597 1603 1607 1610 1611 1614 1620 1624 1626 1629 1633 1639 2018 1643 1646 1654 1660 1671 1673 1676 1676 1681 1686 1690 1689 2019 1700 1701 1702 1703 1704 1700 1705 1705 1713 1717 1721 1720 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 1 0 1 0 2 -7 0 0 0 0 0 2016 0 -1 0 0 1 1 0 0 0 1 0 -3 2017 -1 1 -1 -1 2 1 0 2 0 1 0 1 2018 -2 0 -1 -1 2 3 2 4 1 0 -1 1 2019 -1 -2 -1 1 -1 2 2 3 3 3 4 6 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 20 32000000 Nondurable goods Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 3 -3 0 -2 3 1 -2 -4 -1 -3 1 3 2011 -8 0 3 0 -5 -4 0 -5 -2 0 -3 -8 2012 9 -2 7 5 0 3 -1 3 -1 -3 -7 -6 2013 5 -1 -3 -2 3 0 1 0 2 4 5 2 2014 4 4 0 2 -4 1 -2 10 2 1 3 2 2015 -4 0 2 0 -1 3 3 -4 0 7 3 5 2016 4 0 -2 1 1 8 1 2 3 0 3 1 2017 5 8 2 3 4 2 5 6 0 4 3 7 2018 1 5 7 6 14 3 2 2 2 4 3 1 2019 9 0 2 3 -1 -1 5 1 8 4 5 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 -3 0 -2 3 1 -2 -4 -1 -3 1 3 2011 -8 0 3 0 -5 -4 0 -5 -2 0 -3 -8 2012 9 -2 7 5 0 3 -1 3 -1 -3 -7 -6 2013 5 -1 -3 -2 3 0 1 0 2 4 5 2 2014 4 4 0 2 -4 1 -2 10 2 1 3 2 2015 -4 -1 3 -1 0 1 12 -11 0 7 3 5 2016 4 1 -3 1 0 8 2 2 3 -1 4 4 2017 3 6 4 3 1 3 6 4 2 3 4 6 2018 4 3 8 6 11 2 3 0 5 5 4 -1 2019 11 1 1 1 1 -4 5 0 8 4 4 -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 1 -1 1 -1 2 -9 7 0 0 0 0 2016 0 -1 1 0 1 0 -1 0 0 1 -1 -3 2017 2 2 -2 0 3 -1 -1 2 -2 1 -1 1 2018 -3 2 -1 0 3 1 -1 2 -3 -1 -1 2 2019 -2 -1 1 2 -2 3 0 1 0 0 1 2 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 21 40000000 Trade, transportation, and utilities Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 10027 10019 10045 10012 9992 9984 9981 9967 9968 9982 9966 9963 2011 9978 10004 10018 10071 10059 10075 10093 10105 10103 10107 10131 10139 2012 10185 10185 10186 10190 10213 10211 10230 10247 10253 10289 10316 10317 2013 10319 10318 10336 10368 10389 10424 10448 10489 10527 10545 10586 10630 2014 10590 10575 10581 10616 10627 10644 10668 10672 10707 10738 10757 10793 2015 10776 10811 10830 10820 10841 10863 10866 10873 10874 10898 10921 10940 2016 10955 10988 11016 11031 11042 11066 11093 11114 11112 11111 11098 11120 2017 11084 11064 11045 11032 11025 11020 11000 10995 11003 11003 11018 11014 2018 11005 11067 11069 11074 11085 11082 11087 11095 11078 11061 11117 11066 2019 11094 11093 11070 11078 11078 11070 11088 11081 11099 11112 11117 11138 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 10025 10015 10042 10009 9989 9980 9978 9964 9966 9980 9964 9962 2011 9976 10000 10016 10068 10056 10071 10091 10103 10102 10106 10130 10139 2012 10183 10181 10183 10187 10210 10208 10228 10246 10251 10288 10316 10319 2013 10317 10314 10332 10363 10386 10420 10447 10487 10525 10544 10585 10632 2014 10587 10577 10581 10617 10628 10645 10667 10670 10704 10735 10749 10779 2015 10771 10807 10829 10830 10836 10858 10863 10871 10864 10902 10918 10935 2016 10953 10985 11015 11039 11038 11064 11090 11111 11109 11109 11094 11103 2017 11090 11069 11045 11032 11023 11016 10996 10990 11000 11002 11017 11010 2018 11015 11073 11070 11080 11096 11094 11109 11113 11105 11104 11154 11129 2019 11155 11161 11148 11150 11154 11143 11158 11151 11169 11183 11180 11210 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2 4 3 3 3 4 3 3 2 2 2 1 2011 2 4 2 3 3 4 2 2 1 1 1 0 2012 2 4 3 3 3 3 2 1 2 1 0 -2 2013 2 4 4 5 3 4 1 2 2 1 1 -2 2014 3 -2 0 -1 -1 -1 1 2 3 3 8 14 2015 5 4 1 -10 5 5 3 2 10 -4 3 5 2016 2 3 1 -8 4 2 3 3 3 2 4 17 2017 -6 -5 0 0 2 4 4 5 3 1 1 4 2018 -10 -6 -1 -6 -11 -12 -22 -18 -27 -43 -37 -63 2019 -61 -68 -78 -72 -76 -73 -70 -70 -70 -71 -63 -72 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 22 40000000 Trade, transportation, and utilities Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1 -8 26 -33 -20 -8 -3 -14 1 14 -16 -3 2011 15 26 14 53 -12 16 18 12 -2 4 24 8 2012 46 0 1 4 23 -2 19 17 6 36 27 1 2013 2 -1 18 32 21 35 24 41 38 18 41 44 2014 -40 -15 6 35 11 17 24 4 35 31 19 36 2015 -17 35 19 -10 21 22 3 7 1 24 23 19 2016 15 33 28 15 11 24 27 21 -2 -1 -13 22 2017 -36 -20 -19 -13 -7 -5 -20 -5 8 0 15 -4 2018 -9 62 2 5 11 -3 5 8 -17 -17 56 -51 2019 28 -1 -23 8 0 -8 18 -7 18 13 5 21 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 -10 27 -33 -20 -9 -2 -14 2 14 -16 -2 2011 14 24 16 52 -12 15 20 12 -1 4 24 9 2012 44 -2 2 4 23 -2 20 18 5 37 28 3 2013 -2 -3 18 31 23 34 27 40 38 19 41 47 2014 -45 -10 4 36 11 17 22 3 34 31 14 30 2015 -8 36 22 1 6 22 5 8 -7 38 16 17 2016 18 32 30 24 -1 26 26 21 -2 0 -15 9 2017 -13 -21 -24 -13 -9 -7 -20 -6 10 2 15 -7 2018 5 58 -3 10 16 -2 15 4 -8 -1 50 -25 2019 26 6 -13 2 4 -11 15 -7 18 14 -3 30 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1 2 -1 0 0 1 -1 0 -1 0 0 -1 2011 1 2 -2 1 0 1 -2 0 -1 0 0 -1 2012 2 2 -1 0 0 0 -1 -1 1 -1 -1 -2 2013 4 2 0 1 -2 1 -3 1 0 -1 0 -3 2014 5 -5 2 -1 0 0 2 1 1 0 5 6 2015 -9 -1 -3 -11 15 0 -2 -1 8 -14 7 2 2016 -3 1 -2 -9 12 -2 1 0 0 -1 2 13 2017 -23 1 5 0 2 2 0 1 -2 -2 0 3 2018 -14 4 5 -5 -5 -1 -10 4 -9 -16 6 -26 2019 2 -7 -10 6 -4 3 3 0 0 -1 8 -9 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 23 41420000 Wholesale trade Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1621.6 1624.8 1627.2 1619.1 1616.7 1614.5 1611.9 1613.2 1613.9 1619.8 1620.2 1620.1 2011 1623.5 1631.5 1635.2 1639.6 1640.7 1639.6 1648.4 1648.3 1649.7 1654.1 1658.1 1662.7 2012 1666.2 1668.6 1673.2 1675.9 1678.3 1681.4 1680.6 1683.3 1671.7 1679.0 1677.0 1673.5 2013 1672.9 1670.8 1667.1 1667.2 1668.5 1670.9 1675.4 1680.1 1685.5 1680.6 1686.0 1689.8 2014 1692.6 1690.2 1683.6 1689.5 1692.7 1695.2 1693.8 1690.0 1695.6 1696.2 1688.1 1686.5 2015 1688.1 1695.3 1700.9 1703.9 1703.9 1704.8 1705.2 1702.7 1699.8 1698.4 1700.5 1700.7 2016 1701.5 1702.6 1705.5 1709.5 1708.8 1707.3 1706.5 1709.0 1712.1 1712.2 1712.0 1710.5 2017 1710.7 1712.7 1709.7 1708.5 1710.6 1711.4 1706.6 1710.2 1711.7 1715.0 1717.3 1719.5 2018 1723.1 1727.0 1732.8 1726.8 1724.2 1729.2 1741.6 1750.5 1749.4 1753.3 1756.2 1760.3 2019 1764.4 1765.7 1763.8 1773.2 1774.8 1773.3 1777.9 1776.2 1782.0 1781.8 1786.0 1791.5 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1621.6 1624.8 1627.2 1619.1 1616.7 1614.5 1611.9 1613.2 1613.9 1619.8 1620.2 1620.1 2011 1623.5 1631.5 1635.2 1639.6 1640.7 1639.6 1648.4 1648.3 1649.7 1654.1 1658.1 1662.7 2012 1666.2 1668.6 1673.2 1675.9 1678.3 1681.4 1680.6 1683.3 1671.7 1679.0 1677.0 1673.5 2013 1672.9 1670.8 1667.1 1667.2 1668.5 1670.9 1675.4 1680.1 1685.5 1680.6 1686.0 1689.8 2014 1692.6 1690.2 1683.6 1689.5 1692.7 1695.2 1693.8 1690.0 1695.6 1696.2 1688.1 1686.5 2015 1688.4 1695.3 1700.8 1703.1 1703.1 1704.6 1703.8 1702.8 1699.3 1700.0 1700.9 1700.5 2016 1702.0 1702.7 1705.3 1708.8 1708.6 1707.2 1707.2 1708.6 1711.8 1711.3 1712.4 1711.4 2017 1711.6 1713.4 1709.4 1709.3 1711.0 1711.2 1707.2 1709.6 1711.4 1714.0 1716.5 1719.0 2018 1724.1 1727.7 1732.4 1728.8 1727.0 1732.2 1746.6 1752.4 1755.8 1760.1 1764.3 1769.5 2019 1775.2 1778.3 1778.6 1786.9 1789.7 1786.8 1791.0 1787.5 1794.3 1794.5 1797.9 1804.0 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 -0.3 0.0 0.1 0.8 0.8 0.2 1.4 -0.1 0.5 -1.6 -0.4 0.2 2016 -0.5 -0.1 0.2 0.7 0.2 0.1 -0.7 0.4 0.3 0.9 -0.4 -0.9 2017 -0.9 -0.7 0.3 -0.8 -0.4 0.2 -0.6 0.6 0.3 1.0 0.8 0.5 2018 -1.0 -0.7 0.4 -2.0 -2.8 -3.0 -5.0 -1.9 -6.4 -6.8 -8.1 -9.2 2019 -10.8 -12.6 -14.8 -13.7 -14.9 -13.5 -13.1 -11.3 -12.3 -12.7 -11.9 -12.5 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 24 41420000 Wholesale trade Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -15.5 3.2 2.4 -8.1 -2.4 -2.2 -2.6 1.3 0.7 5.9 0.4 -0.1 2011 3.4 8.0 3.7 4.4 1.1 -1.1 8.8 -0.1 1.4 4.4 4.0 4.6 2012 3.5 2.4 4.6 2.7 2.4 3.1 -0.8 2.7 -11.6 7.3 -2.0 -3.5 2013 -0.6 -2.1 -3.7 0.1 1.3 2.4 4.5 4.7 5.4 -4.9 5.4 3.8 2014 2.8 -2.4 -6.6 5.9 3.2 2.5 -1.4 -3.8 5.6 0.6 -8.1 -1.6 2015 1.6 7.2 5.6 3.0 0.0 0.9 0.4 -2.5 -2.9 -1.4 2.1 0.2 2016 0.8 1.1 2.9 4.0 -0.7 -1.5 -0.8 2.5 3.1 0.1 -0.2 -1.5 2017 0.2 2.0 -3.0 -1.2 2.1 0.8 -4.8 3.6 1.5 3.3 2.3 2.2 2018 3.6 3.9 5.8 -6.0 -2.6 5.0 12.4 8.9 -1.1 3.9 2.9 4.1 2019 4.1 1.3 -1.9 9.4 1.6 -1.5 4.6 -1.7 5.8 -0.2 4.2 5.5 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -15.5 3.2 2.4 -8.1 -2.4 -2.2 -2.6 1.3 0.7 5.9 0.4 -0.1 2011 3.4 8.0 3.7 4.4 1.1 -1.1 8.8 -0.1 1.4 4.4 4.0 4.6 2012 3.5 2.4 4.6 2.7 2.4 3.1 -0.8 2.7 -11.6 7.3 -2.0 -3.5 2013 -0.6 -2.1 -3.7 0.1 1.3 2.4 4.5 4.7 5.4 -4.9 5.4 3.8 2014 2.8 -2.4 -6.6 5.9 3.2 2.5 -1.4 -3.8 5.6 0.6 -8.1 -1.6 2015 1.9 6.9 5.5 2.3 0.0 1.5 -0.8 -1.0 -3.5 0.7 0.9 -0.4 2016 1.5 0.7 2.6 3.5 -0.2 -1.4 0.0 1.4 3.2 -0.5 1.1 -1.0 2017 0.2 1.8 -4.0 -0.1 1.7 0.2 -4.0 2.4 1.8 2.6 2.5 2.5 2018 5.1 3.6 4.7 -3.6 -1.8 5.2 14.4 5.8 3.4 4.3 4.2 5.2 2019 5.7 3.1 0.3 8.3 2.8 -2.9 4.2 -3.5 6.8 0.2 3.4 6.1 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 -0.3 0.3 0.1 0.7 0.0 -0.6 1.2 -1.5 0.6 -2.1 1.2 0.6 2016 -0.7 0.4 0.3 0.5 -0.5 -0.1 -0.8 1.1 -0.1 0.6 -1.3 -0.5 2017 0.0 0.2 1.0 -1.1 0.4 0.6 -0.8 1.2 -0.3 0.7 -0.2 -0.3 2018 -1.5 0.3 1.1 -2.4 -0.8 -0.2 -2.0 3.1 -4.5 -0.4 -1.3 -1.1 2019 -1.6 -1.8 -2.2 1.1 -1.2 1.4 0.4 1.8 -1.0 -0.4 0.8 -0.6 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 25 42000000 Retail trade Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7260.0 7255.0 7273.5 7248.2 7233.3 7226.0 7218.4 7207.7 7204.8 7215.7 7203.3 7198.3 2011 7215.8 7229.8 7240.4 7284.5 7268.3 7280.8 7293.8 7303.1 7306.2 7304.6 7321.8 7325.0 2012 7362.4 7353.9 7350.8 7354.1 7370.2 7373.9 7385.0 7392.1 7406.5 7430.2 7458.2 7454.3 2013 7458.2 7465.3 7483.9 7511.3 7527.1 7556.0 7582.1 7610.7 7631.9 7657.0 7685.3 7718.6 2014 7682.0 7673.8 7677.3 7702.6 7705.1 7714.6 7728.3 7733.3 7761.4 7783.7 7806.7 7834.9 2015 7814.0 7834.1 7844.4 7827.8 7852.0 7870.1 7870.5 7869.1 7872.2 7895.0 7905.6 7912.0 2016 7936.7 7960.3 7977.4 7980.4 7975.7 8003.3 8016.8 8026.2 8025.1 8021.4 8005.8 8000.2 2017 7991.0 7967.7 7951.3 7936.4 7921.0 7908.6 7890.1 7877.8 7874.7 7867.6 7873.0 7858.1 2018 7847.1 7892.8 7882.2 7886.4 7893.1 7870.3 7863.0 7853.7 7829.6 7796.4 7842.0 7789.2 2019 7797.7 7793.1 7767.3 7758.0 7753.9 7741.6 7741.0 7733.4 7740.9 7750.7 7743.2 7746.9 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7260.0 7255.0 7273.5 7248.2 7233.3 7226.0 7218.4 7207.7 7204.8 7215.7 7203.3 7198.3 2011 7215.8 7229.8 7240.4 7284.5 7268.3 7280.8 7293.8 7303.1 7306.2 7304.6 7321.8 7325.0 2012 7362.4 7353.9 7350.8 7354.1 7370.2 7373.9 7385.0 7392.1 7406.5 7430.2 7458.2 7454.3 2013 7458.2 7465.3 7483.9 7511.3 7527.1 7556.0 7582.1 7610.7 7631.9 7657.0 7685.3 7718.6 2014 7682.0 7673.8 7677.3 7702.6 7705.1 7714.6 7728.3 7733.3 7761.4 7783.7 7806.7 7834.9 2015 7811.0 7832.4 7845.1 7840.1 7850.0 7868.7 7871.8 7869.3 7865.3 7900.3 7904.9 7910.5 2016 7935.4 7959.7 7979.1 7991.8 7974.3 8002.1 8013.7 8024.6 8023.6 8021.8 8005.0 8002.1 2017 7996.8 7974.1 7953.8 7936.3 7920.1 7906.1 7886.2 7874.3 7872.4 7868.8 7871.7 7858.3 2018 7855.1 7899.6 7885.4 7892.3 7905.6 7886.1 7884.0 7875.2 7858.7 7842.5 7882.9 7853.2 2019 7863.0 7862.0 7846.5 7833.4 7828.9 7816.6 7814.5 7809.2 7817.3 7828.0 7814.5 7834.4 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 3.0 1.7 -0.7 -12.3 2.0 1.4 -1.3 -0.2 6.9 -5.3 0.7 1.5 2016 1.3 0.6 -1.7 -11.4 1.4 1.2 3.1 1.6 1.5 -0.4 0.8 -1.9 2017 -5.8 -6.4 -2.5 0.1 0.9 2.5 3.9 3.5 2.3 -1.2 1.3 -0.2 2018 -8.0 -6.8 -3.2 -5.9 -12.5 -15.8 -21.0 -21.5 -29.1 -46.1 -40.9 -64.0 2019 -65.3 -68.9 -79.2 -75.4 -75.0 -75.0 -73.5 -75.8 -76.4 -77.3 -71.3 -87.5 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 26 42000000 Retail trade Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 19.1 -5.0 18.5 -25.3 -14.9 -7.3 -7.6 -10.7 -2.9 10.9 -12.4 -5.0 2011 17.5 14.0 10.6 44.1 -16.2 12.5 13.0 9.3 3.1 -1.6 17.2 3.2 2012 37.4 -8.5 -3.1 3.3 16.1 3.7 11.1 7.1 14.4 23.7 28.0 -3.9 2013 3.9 7.1 18.6 27.4 15.8 28.9 26.1 28.6 21.2 25.1 28.3 33.3 2014 -36.6 -8.2 3.5 25.3 2.5 9.5 13.7 5.0 28.1 22.3 23.0 28.2 2015 -20.9 20.1 10.3 -16.6 24.2 18.1 0.4 -1.4 3.1 22.8 10.6 6.4 2016 24.7 23.6 17.1 3.0 -4.7 27.6 13.5 9.4 -1.1 -3.7 -15.6 -5.6 2017 -9.2 -23.3 -16.4 -14.9 -15.4 -12.4 -18.5 -12.3 -3.1 -7.1 5.4 -14.9 2018 -11.0 45.7 -10.6 4.2 6.7 -22.8 -7.3 -9.3 -24.1 -33.2 45.6 -52.8 2019 8.5 -4.6 -25.8 -9.3 -4.1 -12.3 -0.6 -7.6 7.5 9.8 -7.5 3.7 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 19.1 -5.0 18.5 -25.3 -14.9 -7.3 -7.6 -10.7 -2.9 10.9 -12.4 -5.0 2011 17.5 14.0 10.6 44.1 -16.2 12.5 13.0 9.3 3.1 -1.6 17.2 3.2 2012 37.4 -8.5 -3.1 3.3 16.1 3.7 11.1 7.1 14.4 23.7 28.0 -3.9 2013 3.9 7.1 18.6 27.4 15.8 28.9 26.1 28.6 21.2 25.1 28.3 33.3 2014 -36.6 -8.2 3.5 25.3 2.5 9.5 13.7 5.0 28.1 22.3 23.0 28.2 2015 -23.9 21.4 12.7 -5.0 9.9 18.7 3.1 -2.5 -4.0 35.0 4.6 5.6 2016 24.9 24.3 19.4 12.7 -17.5 27.8 11.6 10.9 -1.0 -1.8 -16.8 -2.9 2017 -5.3 -22.7 -20.3 -17.5 -16.2 -14.0 -19.9 -11.9 -1.9 -3.6 2.9 -13.4 2018 -3.2 44.5 -14.2 6.9 13.3 -19.5 -2.1 -8.8 -16.5 -16.2 40.4 -29.7 2019 9.8 -1.0 -15.5 -13.1 -4.5 -12.3 -2.1 -5.3 8.1 10.7 -13.5 19.9 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0.0 0.0 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 3.0 -1.3 -2.4 -11.6 14.3 -0.6 -2.7 1.1 7.1 -12.2 6.0 0.8 2016 -0.2 -0.7 -2.3 -9.7 12.8 -0.2 1.9 -1.5 -0.1 -1.9 1.2 -2.7 2017 -3.9 -0.6 3.9 2.6 0.8 1.6 1.4 -0.4 -1.2 -3.5 2.5 -1.5 2018 -7.8 1.2 3.6 -2.7 -6.6 -3.3 -5.2 -0.5 -7.6 -17.0 5.2 -23.1 2019 -1.3 -3.6 -10.3 3.8 0.4 0.0 1.5 -2.3 -0.6 -0.9 6.0 -16.2 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 27 43000000 Transportation and warehousing Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1005.0 997.6 1003.7 1004.5 1002.7 1004.8 1012.0 1007.9 1012.4 1009.7 1005.6 1008.5 2011 1003.9 1007.9 1007.8 1011.9 1014.6 1019.2 1016.1 1018.5 1012.6 1014.0 1016.4 1015.5 2012 1019.8 1025.5 1025.1 1022.6 1027.3 1018.7 1028.0 1034.6 1037.5 1041.4 1043.7 1051.9 2013 1050.7 1044.8 1049.5 1052.6 1056.4 1060.0 1054.5 1061.7 1072.8 1070.9 1078.3 1086.2 2014 1081.0 1076.6 1086.2 1090.0 1095.6 1100.7 1112.0 1113.9 1116.3 1124.7 1128.5 1138.5 2015 1140.5 1148.6 1151.5 1155.1 1150.9 1154.4 1156.9 1166.6 1168.4 1171.2 1182.1 1194.1 2016 1183.6 1192.5 1201.0 1209.1 1226.3 1224.4 1239.5 1249.6 1244.6 1247.1 1249.8 1280.0 2017 1252.4 1255.3 1256.5 1259.6 1265.6 1272.6 1275.3 1279.2 1288.8 1292.2 1300.1 1308.7 2018 1307.8 1318.4 1325.5 1331.0 1338.7 1353.2 1353.5 1361.7 1370.1 1381.6 1388.3 1386.4 2019 1400.6 1402.5 1406.7 1414.9 1417.5 1422.9 1436.5 1438.9 1444.1 1448.4 1456.4 1466.2 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1002.6 993.8 1001.1 1001.8 1000.0 1000.8 1009.2 1005.5 1010.4 1007.8 1004.0 1007.5 2011 1001.7 1003.6 1005.1 1009.0 1011.9 1016.0 1014.5 1016.5 1010.9 1012.8 1015.4 1016.0 2012 1017.7 1021.7 1022.1 1019.0 1024.5 1015.7 1026.8 1033.2 1035.6 1040.5 1043.2 1053.9 2013 1048.5 1040.2 1045.8 1048.3 1053.2 1056.1 1053.3 1060.5 1070.6 1069.9 1077.4 1088.8 2014 1077.9 1079.1 1086.5 1091.2 1096.7 1101.0 1110.9 1112.8 1113.9 1122.1 1121.2 1124.3 2015 1138.3 1146.0 1149.2 1152.7 1148.8 1150.9 1153.6 1164.4 1166.2 1169.3 1179.3 1191.3 2016 1182.3 1190.2 1198.9 1207.2 1224.5 1224.4 1238.6 1247.8 1243.3 1245.6 1247.0 1260.6 2017 1252.8 1253.8 1254.4 1258.3 1264.0 1270.9 1275.0 1278.3 1288.0 1290.9 1300.7 1304.2 2018 1309.1 1317.1 1323.5 1329.2 1334.7 1346.0 1348.7 1355.7 1361.5 1371.6 1376.0 1375.5 2019 1386.2 1388.8 1390.0 1397.0 1402.5 1406.4 1418.8 1421.1 1425.3 1428.5 1434.8 1437.4 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2.4 3.8 2.6 2.7 2.7 4.0 2.8 2.4 2.0 1.9 1.6 1.0 2011 2.2 4.3 2.7 2.9 2.7 3.2 1.6 2.0 1.7 1.2 1.0 -0.5 2012 2.1 3.8 3.0 3.6 2.8 3.0 1.2 1.4 1.9 0.9 0.5 -2.0 2013 2.2 4.6 3.7 4.3 3.2 3.9 1.2 1.2 2.2 1.0 0.9 -2.6 2014 3.1 -2.5 -0.3 -1.2 -1.1 -0.3 1.1 1.1 2.4 2.6 7.3 14.2 2015 2.2 2.6 2.3 2.4 2.1 3.5 3.3 2.2 2.2 1.9 2.8 2.8 2016 1.3 2.3 2.1 1.9 1.8 0.0 0.9 1.8 1.3 1.5 2.8 19.4 2017 -0.4 1.5 2.1 1.3 1.6 1.7 0.3 0.9 0.8 1.3 -0.6 4.5 2018 -1.3 1.3 2.0 1.8 4.0 7.2 4.8 6.0 8.6 10.0 12.3 10.9 2019 14.4 13.7 16.7 17.9 15.0 16.5 17.7 17.8 18.8 19.9 21.6 28.8 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 28 43000000 Transportation and warehousing Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -1.7 -7.4 6.1 0.8 -1.8 2.1 7.2 -4.1 4.5 -2.7 -4.1 2.9 2011 -4.6 4.0 -0.1 4.1 2.7 4.6 -3.1 2.4 -5.9 1.4 2.4 -0.9 2012 4.3 5.7 -0.4 -2.5 4.7 -8.6 9.3 6.6 2.9 3.9 2.3 8.2 2013 -1.2 -5.9 4.7 3.1 3.8 3.6 -5.5 7.2 11.1 -1.9 7.4 7.9 2014 -5.2 -4.4 9.6 3.8 5.6 5.1 11.3 1.9 2.4 8.4 3.8 10.0 2015 2.0 8.1 2.9 3.6 -4.2 3.5 2.5 9.7 1.8 2.8 10.9 12.0 2016 -10.5 8.9 8.5 8.1 17.2 -1.9 15.1 10.1 -5.0 2.5 2.7 30.2 2017 -27.6 2.9 1.2 3.1 6.0 7.0 2.7 3.9 9.6 3.4 7.9 8.6 2018 -0.9 10.6 7.1 5.5 7.7 14.5 0.3 8.2 8.4 11.5 6.7 -1.9 2019 14.2 1.9 4.2 8.2 2.6 5.4 13.6 2.4 5.2 4.3 8.0 9.8 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -2.8 -8.8 7.3 0.7 -1.8 0.8 8.4 -3.7 4.9 -2.6 -3.8 3.5 2011 -5.8 1.9 1.5 3.9 2.9 4.1 -1.5 2.0 -5.6 1.9 2.6 0.6 2012 1.7 4.0 0.4 -3.1 5.5 -8.8 11.1 6.4 2.4 4.9 2.7 10.7 2013 -5.4 -8.3 5.6 2.5 4.9 2.9 -2.8 7.2 10.1 -0.7 7.5 11.4 2014 -10.9 1.2 7.4 4.7 5.5 4.3 9.9 1.9 1.1 8.2 -0.9 3.1 2015 14.0 7.7 3.2 3.5 -3.9 2.1 2.7 10.8 1.8 3.1 10.0 12.0 2016 -9.0 7.9 8.7 8.3 17.3 -0.1 14.2 9.2 -4.5 2.3 1.4 13.6 2017 -7.8 1.0 0.6 3.9 5.7 6.9 4.1 3.3 9.7 2.9 9.8 3.5 2018 4.9 8.0 6.4 5.7 5.5 11.3 2.7 7.0 5.8 10.1 4.4 -0.5 2019 10.7 2.6 1.2 7.0 5.5 3.9 12.4 2.3 4.2 3.2 6.3 2.6 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1.1 1.4 -1.2 0.1 0.0 1.3 -1.2 -0.4 -0.4 -0.1 -0.3 -0.6 2011 1.2 2.1 -1.6 0.2 -0.2 0.5 -1.6 0.4 -0.3 -0.5 -0.2 -1.5 2012 2.6 1.7 -0.8 0.6 -0.8 0.2 -1.8 0.2 0.5 -1.0 -0.4 -2.5 2013 4.2 2.4 -0.9 0.6 -1.1 0.7 -2.7 0.0 1.0 -1.2 -0.1 -3.5 2014 5.7 -5.6 2.2 -0.9 0.1 0.8 1.4 0.0 1.3 0.2 4.7 6.9 2015 -12.0 0.4 -0.3 0.1 -0.3 1.4 -0.2 -1.1 0.0 -0.3 0.9 0.0 2016 -1.5 1.0 -0.2 -0.2 -0.1 -1.8 0.9 0.9 -0.5 0.2 1.3 16.6 2017 -19.8 1.9 0.6 -0.8 0.3 0.1 -1.4 0.6 -0.1 0.5 -1.9 5.1 2018 -5.8 2.6 0.7 -0.2 2.2 3.2 -2.4 1.2 2.6 1.4 2.3 -1.4 2019 3.5 -0.7 3.0 1.2 -2.9 1.5 1.2 0.1 1.0 1.1 1.7 7.2 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 29 44220000 Utilities Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 140.8 141.2 140.3 139.8 139.4 139.1 138.5 138.0 137.2 136.9 136.4 136.1 2011 134.8 134.9 135.0 135.0 135.0 134.9 134.7 134.6 134.7 134.3 135.0 135.7 2012 136.7 137.0 137.1 137.5 137.4 137.4 136.0 137.4 137.5 138.4 137.2 137.2 2013 137.1 137.3 135.5 136.4 136.7 137.2 136.3 136.1 136.5 136.1 136.0 134.9 2014 134.4 134.1 134.0 133.6 133.6 133.8 134.3 134.3 133.4 133.2 133.3 133.3 2015 133.1 133.0 133.6 133.6 133.7 133.5 133.4 134.2 133.4 133.1 132.7 133.0 2016 132.9 132.8 132.0 131.5 131.0 130.5 130.0 129.4 129.7 129.9 129.9 129.5 2017 129.5 128.1 127.7 127.5 127.4 127.3 127.7 127.7 127.7 127.9 127.9 128.0 2018 127.3 128.3 128.7 129.4 129.0 129.2 128.9 128.9 129.2 129.3 130.2 130.4 2019 130.8 131.4 132.0 131.5 131.7 132.1 132.5 132.2 131.7 131.4 131.8 133.2 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 140.8 141.2 140.3 139.8 139.4 139.1 138.5 138.0 137.2 136.9 136.4 136.1 2011 134.8 134.9 135.0 135.0 135.0 134.9 134.7 134.6 134.7 134.3 135.0 135.7 2012 136.7 137.0 137.1 137.5 137.4 137.4 136.0 137.4 137.5 138.4 137.2 137.2 2013 137.1 137.3 135.5 136.4 136.7 137.2 136.3 136.1 136.5 136.1 136.0 134.9 2014 134.4 134.1 134.0 133.6 133.6 133.8 134.3 134.3 133.4 133.2 133.3 133.3 2015 133.4 132.9 133.6 133.6 133.7 133.5 133.4 134.6 133.2 132.8 132.6 133.0 2016 133.0 132.8 132.0 131.5 131.0 130.6 130.2 129.8 129.9 130.0 129.8 129.3 2017 128.7 128.1 127.8 127.6 127.5 127.5 127.9 128.0 127.9 127.8 128.0 128.0 2018 126.5 128.5 128.8 129.4 129.1 129.7 129.3 129.2 129.1 129.3 130.4 130.8 2019 130.8 131.8 132.5 132.2 132.6 132.8 133.2 132.8 132.2 132.4 132.8 134.2 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 -0.3 0.1 0.0 0.0 0.0 0.0 0.0 -0.4 0.2 0.3 0.1 0.0 2016 -0.1 0.0 0.0 0.0 0.0 -0.1 -0.2 -0.4 -0.2 -0.1 0.1 0.2 2017 0.8 0.0 -0.1 -0.1 -0.1 -0.2 -0.2 -0.3 -0.2 0.1 -0.1 0.0 2018 0.8 -0.2 -0.1 0.0 -0.1 -0.5 -0.4 -0.3 0.1 0.0 -0.2 -0.4 2019 0.0 -0.4 -0.5 -0.7 -0.9 -0.7 -0.7 -0.6 -0.5 -1.0 -1.0 -1.0 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 30 44220000 Utilities Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -0.5 0.4 -0.9 -0.5 -0.4 -0.3 -0.6 -0.5 -0.8 -0.3 -0.5 -0.3 2011 -1.3 0.1 0.1 0.0 0.0 -0.1 -0.2 -0.1 0.1 -0.4 0.7 0.7 2012 1.0 0.3 0.1 0.4 -0.1 0.0 -1.4 1.4 0.1 0.9 -1.2 0.0 2013 -0.1 0.2 -1.8 0.9 0.3 0.5 -0.9 -0.2 0.4 -0.4 -0.1 -1.1 2014 -0.5 -0.3 -0.1 -0.4 0.0 0.2 0.5 0.0 -0.9 -0.2 0.1 0.0 2015 -0.2 -0.1 0.6 0.0 0.1 -0.2 -0.1 0.8 -0.8 -0.3 -0.4 0.3 2016 -0.1 -0.1 -0.8 -0.5 -0.5 -0.5 -0.5 -0.6 0.3 0.2 0.0 -0.4 2017 0.0 -1.4 -0.4 -0.2 -0.1 -0.1 0.4 0.0 0.0 0.2 0.0 0.1 2018 -0.7 1.0 0.4 0.7 -0.4 0.2 -0.3 0.0 0.3 0.1 0.9 0.2 2019 0.4 0.6 0.6 -0.5 0.2 0.4 0.4 -0.3 -0.5 -0.3 0.4 1.4 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -0.5 0.4 -0.9 -0.5 -0.4 -0.3 -0.6 -0.5 -0.8 -0.3 -0.5 -0.3 2011 -1.3 0.1 0.1 0.0 0.0 -0.1 -0.2 -0.1 0.1 -0.4 0.7 0.7 2012 1.0 0.3 0.1 0.4 -0.1 0.0 -1.4 1.4 0.1 0.9 -1.2 0.0 2013 -0.1 0.2 -1.8 0.9 0.3 0.5 -0.9 -0.2 0.4 -0.4 -0.1 -1.1 2014 -0.5 -0.3 -0.1 -0.4 0.0 0.2 0.5 0.0 -0.9 -0.2 0.1 0.0 2015 0.1 -0.5 0.7 0.0 0.1 -0.2 -0.1 1.2 -1.4 -0.4 -0.2 0.4 2016 0.0 -0.2 -0.8 -0.5 -0.5 -0.4 -0.4 -0.4 0.1 0.1 -0.2 -0.5 2017 -0.6 -0.6 -0.3 -0.2 -0.1 0.0 0.4 0.1 -0.1 -0.1 0.2 0.0 2018 -1.5 2.0 0.3 0.6 -0.3 0.6 -0.4 -0.1 -0.1 0.2 1.1 0.4 2019 0.0 1.0 0.7 -0.3 0.4 0.2 0.4 -0.4 -0.6 0.2 0.4 1.4 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 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 -0.3 0.4 -0.1 0.0 0.0 0.0 0.0 -0.4 0.6 0.1 -0.2 -0.1 2016 -0.1 0.1 0.0 0.0 0.0 -0.1 -0.1 -0.2 0.2 0.1 0.2 0.1 2017 0.6 -0.8 -0.1 0.0 0.0 -0.1 0.0 -0.1 0.1 0.3 -0.2 0.1 2018 0.8 -1.0 0.1 0.1 -0.1 -0.4 0.1 0.1 0.4 -0.1 -0.2 -0.2 2019 0.4 -0.4 -0.1 -0.2 -0.2 0.2 0.0 0.1 0.1 -0.5 0.0 0.0 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 31 50000000 Information Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1125 1119 1114 1109 1105 1098 1100 1099 1097 1094 1098 1092 2011 1090 1087 1087 1086 1086 1086 1087 1071 1083 1083 1083 1082 2012 1078 1082 1080 1081 1081 1080 1079 1074 1070 1072 1070 1068 2013 1073 1074 1072 1071 1076 1076 1082 1077 1082 1087 1090 1091 2014 1090 1088 1092 1092 1088 1095 1093 1099 1096 1094 1097 1099 2015 1103 1102 1101 1099 1102 1103 1103 1103 1105 1105 1103 1104 2016 1105 1110 1110 1111 1099 1113 1112 1119 1126 1127 1127 1125 2017 1125 1122 1118 1120 1118 1115 1116 1115 1111 1111 1111 1113 2018 1111 1112 1115 1116 1119 1123 1119 1118 1119 1122 1123 1123 2019 1122 1127 1130 1130 1130 1135 1138 1143 1140 1140 1145 1146 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1125 1119 1114 1109 1105 1098 1100 1099 1097 1094 1098 1092 2011 1090 1087 1087 1086 1086 1086 1087 1071 1083 1083 1083 1082 2012 1078 1082 1080 1081 1081 1080 1079 1074 1070 1072 1070 1068 2013 1073 1074 1072 1071 1076 1076 1082 1077 1082 1087 1090 1091 2014 1090 1088 1092 1092 1088 1095 1093 1099 1096 1094 1097 1099 2015 1104 1102 1101 1099 1101 1102 1104 1104 1105 1104 1103 1104 2016 1106 1109 1110 1111 1099 1113 1113 1120 1128 1128 1127 1125 2017 1124 1121 1118 1119 1117 1115 1117 1116 1113 1113 1111 1112 2018 1110 1111 1115 1115 1117 1121 1117 1115 1114 1117 1115 1115 2019 1112 1116 1118 1118 1118 1124 1127 1130 1129 1128 1138 1137 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 -1 0 0 0 1 1 -1 -1 0 1 0 0 2016 -1 1 0 0 0 0 -1 -1 -2 -1 0 0 2017 1 1 0 1 1 0 -1 -1 -2 -2 0 1 2018 1 1 0 1 2 2 2 3 5 5 8 8 2019 10 11 12 12 12 11 11 13 11 12 7 9 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 32 50000000 Information Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -5 -6 -5 -5 -4 -7 2 -1 -2 -3 4 -6 2011 -2 -3 0 -1 0 0 1 -16 12 0 0 -1 2012 -4 4 -2 1 0 -1 -1 -5 -4 2 -2 -2 2013 5 1 -2 -1 5 0 6 -5 5 5 3 1 2014 -1 -2 4 0 -4 7 -2 6 -3 -2 3 2 2015 4 -1 -1 -2 3 1 0 0 2 0 -2 1 2016 1 5 0 1 -12 14 -1 7 7 1 0 -2 2017 0 -3 -4 2 -2 -3 1 -1 -4 0 0 2 2018 -2 1 3 1 3 4 -4 -1 1 3 1 0 2019 -1 5 3 0 0 5 3 5 -3 0 5 1 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -5 -6 -5 -5 -4 -7 2 -1 -2 -3 4 -6 2011 -2 -3 0 -1 0 0 1 -16 12 0 0 -1 2012 -4 4 -2 1 0 -1 -1 -5 -4 2 -2 -2 2013 5 1 -2 -1 5 0 6 -5 5 5 3 1 2014 -1 -2 4 0 -4 7 -2 6 -3 -2 3 2 2015 5 -2 -1 -2 2 1 2 0 1 -1 -1 1 2016 2 3 1 1 -12 14 0 7 8 0 -1 -2 2017 -1 -3 -3 1 -2 -2 2 -1 -3 0 -2 1 2018 -2 1 4 0 2 4 -4 -2 -1 3 -2 0 2019 -3 4 2 0 0 6 3 3 -1 -1 10 -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 -1 1 0 0 1 0 -2 0 1 1 -1 0 2016 -1 2 -1 0 0 0 -1 0 -1 1 1 0 2017 1 0 -1 1 0 -1 -1 0 -1 0 2 1 2018 0 0 -1 1 1 0 0 1 2 0 3 0 2019 2 1 1 0 0 -1 0 2 -2 1 -5 2 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 33 55000000 Financial activities Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4579 4567 4552 4544 4534 4530 4516 4518 4514 4512 4502 4497 2011 4494 4485 4488 4487 4502 4490 4494 4494 4480 4480 4488 4497 2012 4497 4502 4516 4508 4521 4520 4514 4519 4531 4535 4531 4531 2013 4535 4538 4539 4543 4545 4545 4555 4551 4551 4554 4549 4548 2014 4545 4556 4553 4558 4558 4571 4572 4576 4581 4589 4598 4606 2015 4611 4612 4620 4622 4624 4634 4638 4634 4644 4654 4663 4667 2016 4679 4684 4692 4699 4709 4712 4719 4722 4731 4735 4741 4750 2017 4766 4767 4766 4765 4765 4774 4782 4793 4794 4795 4804 4802 2018 4811 4823 4825 4834 4850 4864 4868 4876 4885 4899 4903 4906 2019 4914 4926 4941 4946 4947 4946 4958 4960 4963 4973 4979 4992 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 4579 4567 4549 4543 4533 4530 4518 4519 4516 4512 4502 4497 2011 4494 4485 4484 4487 4500 4492 4496 4495 4482 4480 4489 4496 2012 4496 4503 4511 4508 4518 4522 4517 4521 4535 4536 4533 4530 2013 4533 4537 4540 4543 4546 4545 4555 4552 4551 4552 4551 4548 2014 4548 4560 4554 4558 4561 4569 4572 4578 4583 4590 4598 4607 2015 4611 4613 4621 4622 4623 4632 4636 4636 4644 4654 4662 4667 2016 4679 4684 4693 4700 4709 4712 4720 4724 4733 4737 4741 4749 2017 4765 4765 4767 4764 4765 4774 4783 4795 4797 4797 4803 4800 2018 4809 4821 4826 4830 4841 4851 4852 4856 4859 4871 4868 4868 2019 4871 4878 4888 4890 4892 4892 4902 4903 4907 4916 4920 4927 Difference in level YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 3 1 1 0 -2 -1 -2 0 0 0 2011 0 0 4 0 2 -2 -2 -1 -2 0 -1 1 2012 1 -1 5 0 3 -2 -3 -2 -4 -1 -2 1 2013 2 1 -1 0 -1 0 0 -1 0 2 -2 0 2014 -3 -4 -1 0 -3 2 0 -2 -2 -1 0 -1 2015 0 -1 -1 0 1 2 2 -2 0 0 1 0 2016 0 0 -1 -1 0 0 -1 -2 -2 -2 0 1 2017 1 2 -1 1 0 0 -1 -2 -3 -2 1 2 2018 2 2 -1 4 9 13 16 20 26 28 35 38 2019 43 48 53 56 55 54 56 57 56 57 59 65 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 34 55000000 Financial activities Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -8 -12 -15 -8 -10 -4 -14 2 -4 -2 -10 -5 2011 -3 -9 3 -1 15 -12 4 0 -14 0 8 9 2012 0 5 14 -8 13 -1 -6 5 12 4 -4 0 2013 4 3 1 4 2 0 10 -4 0 3 -5 -1 2014 -3 11 -3 5 0 13 1 4 5 8 9 8 2015 5 1 8 2 2 10 4 -4 10 10 9 4 2016 12 5 8 7 10 3 7 3 9 4 6 9 2017 16 1 -1 -1 0 9 8 11 1 1 9 -2 2018 9 12 2 9 16 14 4 8 9 14 4 3 2019 8 12 15 5 1 -1 12 2 3 10 6 13 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -8 -12 -18 -6 -10 -3 -12 1 -3 -4 -10 -5 2011 -3 -9 -1 3 13 -8 4 -1 -13 -2 9 7 2012 0 7 8 -3 10 4 -5 4 14 1 -3 -3 2013 3 4 3 3 3 -1 10 -3 -1 1 -1 -3 2014 0 12 -6 4 3 8 3 6 5 7 8 9 2015 4 2 8 1 1 9 4 0 8 10 8 5 2016 12 5 9 7 9 3 8 4 9 4 4 8 2017 16 0 2 -3 1 9 9 12 2 0 6 -3 2018 9 12 5 4 11 10 1 4 3 12 -3 0 2019 3 7 10 2 2 0 10 1 4 9 4 7 Difference in over-the-month change YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 0 0 3 -2 0 -1 -2 1 -1 2 0 0 2011 0 0 4 -4 2 -4 0 1 -1 2 -1 2 2012 0 -2 6 -5 3 -5 -1 1 -2 3 -1 3 2013 1 -1 -2 1 -1 1 0 -1 1 2 -4 2 2014 -3 -1 3 1 -3 5 -2 -2 0 1 1 -1 2015 1 -1 0 1 1 1 0 -4 2 0 1 -1 2016 0 0 -1 0 1 0 -1 -1 0 0 2 1 2017 0 1 -3 2 -1 0 -1 -1 -1 1 3 1 2018 0 0 -3 5 5 4 3 4 6 2 7 3 2019 5 5 5 3 -1 -1 2 1 -1 1 2 6 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 35 60000000 Professional and business services Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7443 7431 7417 7428 7435 7455 7438 7457 7486 7504 7559 7590 2011 7582 7617 7650 7682 7701 7699 7681 7723 7743 7776 7787 7817 2012 7849 7867 7893 7909 7929 7945 7968 7974 7998 7997 8049 8074 2013 8097 8129 8175 8208 8238 8266 8317 8325 8339 8360 8383 8383 2014 8399 8443 8456 8483 8497 8514 8526 8547 8565 8585 8606 8632 2015 8636 8648 8664 8680 8713 8750 8763 8784 8812 8843 8858 8890 2016 8897 8921 8941 8966 8971 8979 9016 9025 9075 9070 9086 9104 2017 9128 9142 9155 9164 9194 9206 9232 9243 9258 9276 9304 9317 2018 9356 9382 9402 9442 9468 9487 9475 9507 9526 9572 9572 9592 2019 9580 9617 9631 9651 9683 9703 9725 9745 9787 9797 9825 9849 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7443 7431 7417 7428 7435 7455 7438 7457 7486 7504 7559 7590 2011 7582 7617 7650 7682 7701 7699 7681 7723 7743 7776 7787 7817 2012 7849 7867 7893 7909 7929 7945 7968 7974 7998 7997 8049 8074 2013 8097 8129 8175 8208 8238 8266 8317 8325 8339 8360 8383 8383 2014 8399 8443 8456 8483 8497 8514 8526 8547 8565 8585 8606 8632 2015 8630 8645 8662 8678 8711 8752 8765 8794 8814 8854 8860 8890 2016 8889 8915 8939 8962 8969 8982 9019 9035 9080 9070 9088 9100 2017 9123 9140 9152 9159 9192 9209 9236 9253 9266 9278 9304 9319 2018 9347 9376 9396 9440 9479 9509 9505 9538 9570 9620 9623 9648 2019 9643 9680 9701 9718 9751 9774 9792 9809 9852 9868 9895 9916 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 6 3 2 2 2 -2 -2 -10 -2 -11 -2 0 2016 8 6 2 4 2 -3 -3 -10 -5 0 -2 4 2017 5 2 3 5 2 -3 -4 -10 -8 -2 0 -2 2018 9 6 6 2 -11 -22 -30 -31 -44 -48 -51 -56 2019 -63 -63 -70 -67 -68 -71 -67 -64 -65 -71 -70 -67 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 36 60000000 Professional and business services Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 31 -12 -14 11 7 20 -17 19 29 18 55 31 2011 -8 35 33 32 19 -2 -18 42 20 33 11 30 2012 32 18 26 16 20 16 23 6 24 -1 52 25 2013 23 32 46 33 30 28 51 8 14 21 23 0 2014 16 44 13 27 14 17 12 21 18 20 21 26 2015 4 12 16 16 33 37 13 21 28 31 15 32 2016 7 24 20 25 5 8 37 9 50 -5 16 18 2017 24 14 13 9 30 12 26 11 15 18 28 13 2018 39 26 20 40 26 19 -12 32 19 46 0 20 2019 -12 37 14 20 32 20 22 20 42 10 28 24 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 31 -12 -14 11 7 20 -17 19 29 18 55 31 2011 -8 35 33 32 19 -2 -18 42 20 33 11 30 2012 32 18 26 16 20 16 23 6 24 -1 52 25 2013 23 32 46 33 30 28 51 8 14 21 23 0 2014 16 44 13 27 14 17 12 21 18 20 21 26 2015 -2 15 17 16 33 41 13 29 20 40 6 30 2016 -1 26 24 23 7 13 37 16 45 -10 18 12 2017 23 17 12 7 33 17 27 17 13 12 26 15 2018 28 29 20 44 39 30 -4 33 32 50 3 25 2019 -5 37 21 17 33 23 18 17 43 16 27 21 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 6 -3 -1 0 0 -4 0 -8 8 -9 9 2 2016 8 -2 -4 2 -2 -5 0 -7 5 5 -2 6 2017 1 -3 1 2 -3 -5 -1 -6 2 6 2 -2 2018 11 -3 0 -4 -13 -11 -8 -1 -13 -4 -3 -5 2019 -7 0 -7 3 -1 -3 4 3 -1 -6 1 3 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 37 65000000 Education and health services Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 15340 15340 15386 15396 15411 15419 15432 15457 15454 15502 15525 15525 2011 15538 15538 15543 15585 15583 15607 15645 15663 15694 15725 15746 15751 2012 15812 15877 15898 15908 15943 15936 15966 15987 16026 16056 16057 16088 2013 16113 16116 16151 16194 16191 16183 16171 16238 16250 16243 16286 16276 2014 16312 16321 16348 16379 16409 16443 16473 16509 16548 16570 16624 16669 2015 16719 16759 16788 16852 16889 16928 16962 16998 17034 17095 17138 17180 2016 17206 17258 17291 17327 17386 17434 17471 17517 17556 17598 17625 17670 2017 17685 17740 17755 17796 17818 17848 17897 17919 17944 17951 17984 17996 2018 18046 18079 18119 18141 18179 18221 18245 18274 18312 18345 18380 18426 2019 18457 18482 18528 18584 18614 18650 18709 18764 18809 18849 18919 18937 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 15340 15340 15386 15396 15411 15419 15432 15457 15454 15502 15525 15525 2011 15538 15538 15543 15585 15583 15607 15645 15663 15694 15725 15746 15751 2012 15812 15877 15898 15908 15943 15936 15966 15987 16026 16056 16057 16088 2013 16113 16116 16151 16194 16191 16183 16171 16238 16250 16243 16286 16276 2014 16312 16321 16348 16379 16409 16443 16473 16509 16548 16570 16624 16669 2015 16721 16762 16792 16852 16890 16927 16965 16995 17035 17094 17136 17178 2016 17210 17261 17295 17325 17383 17433 17473 17519 17556 17596 17620 17672 2017 17688 17737 17757 17794 17811 17846 17902 17925 17946 17948 17973 17995 2018 18052 18074 18119 18142 18178 18232 18275 18314 18346 18375 18411 18462 2019 18503 18530 18585 18638 18676 18714 18772 18827 18869 18904 18972 18997 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 -2 -3 -4 0 -1 1 -3 3 -1 1 2 2 2016 -4 -3 -4 2 3 1 -2 -2 0 2 5 -2 2017 -3 3 -2 2 7 2 -5 -6 -2 3 11 1 2018 -6 5 0 -1 1 -11 -30 -40 -34 -30 -31 -36 2019 -46 -48 -57 -54 -62 -64 -63 -63 -60 -55 -53 -60 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 38 65000000 Education and health services Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9 0 46 10 15 8 13 25 -3 48 23 0 2011 13 0 5 42 -2 24 38 18 31 31 21 5 2012 61 65 21 10 35 -7 30 21 39 30 1 31 2013 25 3 35 43 -3 -8 -12 67 12 -7 43 -10 2014 36 9 27 31 30 34 30 36 39 22 54 45 2015 50 40 29 64 37 39 34 36 36 61 43 42 2016 26 52 33 36 59 48 37 46 39 42 27 45 2017 15 55 15 41 22 30 49 22 25 7 33 12 2018 50 33 40 22 38 42 24 29 38 33 35 46 2019 31 25 46 56 30 36 59 55 45 40 70 18 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 9 0 46 10 15 8 13 25 -3 48 23 0 2011 13 0 5 42 -2 24 38 18 31 31 21 5 2012 61 65 21 10 35 -7 30 21 39 30 1 31 2013 25 3 35 43 -3 -8 -12 67 12 -7 43 -10 2014 36 9 27 31 30 34 30 36 39 22 54 45 2015 52 41 30 60 38 37 38 30 40 59 42 42 2016 32 51 34 30 58 50 40 46 37 40 24 52 2017 16 49 20 37 17 35 56 23 21 2 25 22 2018 57 22 45 23 36 54 43 39 32 29 36 51 2019 41 27 55 53 38 38 58 55 42 35 68 25 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 -2 -1 -1 4 -1 2 -4 6 -4 2 1 0 2016 -6 1 -1 6 1 -2 -3 0 2 2 3 -7 2017 -1 6 -5 4 5 -5 -7 -1 4 5 8 -10 2018 -7 11 -5 -1 2 -12 -19 -10 6 4 -1 -5 2019 -10 -2 -9 3 -8 -2 1 0 3 5 2 -7 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 39 70000000 Leisure and hospitality Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6792 6778 6785 6796 6817 6800 6808 6833 6846 6848 6848 6867 2011 6863 6882 6912 6935 6927 6947 6967 6981 7006 7033 7053 7070 2012 7095 7119 7140 7155 7171 7183 7196 7215 7229 7240 7255 7280 2013 7301 7333 7350 7366 7382 7415 7441 7452 7462 7490 7517 7539 2014 7542 7546 7576 7599 7626 7622 7633 7654 7679 7702 7708 7723 2015 7745 7772 7765 7790 7844 7846 7866 7875 7909 7924 7955 7971 2016 7998 8034 8052 8073 8090 8118 8156 8177 8190 8210 8225 8239 2017 8248 8263 8278 8303 8320 8333 8371 8393 8349 8417 8444 8471 2018 8485 8495 8505 8515 8540 8565 8586 8601 8606 8629 8638 8674 2019 8729 8737 8754 8780 8788 8788 8781 8803 8849 8893 8906 8937 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6792 6778 6785 6796 6817 6800 6808 6833 6846 6848 6848 6867 2011 6863 6882 6912 6935 6927 6947 6967 6981 7006 7033 7053 7070 2012 7095 7119 7140 7155 7171 7183 7196 7215 7229 7240 7255 7280 2013 7301 7333 7350 7366 7382 7415 7441 7452 7462 7490 7517 7539 2014 7542 7546 7576 7599 7626 7622 7633 7654 7679 7702 7708 7723 2015 7745 7777 7769 7789 7848 7845 7867 7873 7903 7919 7953 7971 2016 7998 8041 8057 8074 8093 8120 8153 8173 8190 8205 8221 8239 2017 8251 8272 8286 8309 8325 8334 8366 8386 8348 8411 8434 8467 2018 8491 8506 8516 8532 8559 8584 8603 8620 8632 8666 8689 8736 2019 8797 8821 8839 8855 8867 8861 8854 8878 8922 8969 8979 9020 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 -5 -4 1 -4 1 -1 2 6 5 2 0 2016 0 -7 -5 -1 -3 -2 3 4 0 5 4 0 2017 -3 -9 -8 -6 -5 -1 5 7 1 6 10 4 2018 -6 -11 -11 -17 -19 -19 -17 -19 -26 -37 -51 -62 2019 -68 -84 -85 -75 -79 -73 -73 -75 -73 -76 -73 -83 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 40 70000000 Leisure and hospitality Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -6 -14 7 11 21 -17 8 25 13 2 0 19 2011 -4 19 30 23 -8 20 20 14 25 27 20 17 2012 25 24 21 15 16 12 13 19 14 11 15 25 2013 21 32 17 16 16 33 26 11 10 28 27 22 2014 3 4 30 23 27 -4 11 21 25 23 6 15 2015 22 27 -7 25 54 2 20 9 34 15 31 16 2016 27 36 18 21 17 28 38 21 13 20 15 14 2017 9 15 15 25 17 13 38 22 -44 68 27 27 2018 14 10 10 10 25 25 21 15 5 23 9 36 2019 55 8 17 26 8 0 -7 22 46 44 13 31 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -6 -14 7 11 21 -17 8 25 13 2 0 19 2011 -4 19 30 23 -8 20 20 14 25 27 20 17 2012 25 24 21 15 16 12 13 19 14 11 15 25 2013 21 32 17 16 16 33 26 11 10 28 27 22 2014 3 4 30 23 27 -4 11 21 25 23 6 15 2015 22 32 -8 20 59 -3 22 6 30 16 34 18 2016 27 43 16 17 19 27 33 20 17 15 16 18 2017 12 21 14 23 16 9 32 20 -38 63 23 33 2018 24 15 10 16 27 25 19 17 12 34 23 47 2019 61 24 18 16 12 -6 -7 24 44 47 10 41 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 -5 1 5 -5 5 -2 3 4 -1 -3 -2 2016 0 -7 2 4 -2 1 5 1 -4 5 -1 -4 2017 -3 -6 1 2 1 4 6 2 -6 5 4 -6 2018 -10 -5 0 -6 -2 0 2 -2 -7 -11 -14 -11 2019 -6 -16 -1 10 -4 6 0 -2 2 -3 3 -10 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 41 80000000 Other services Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2811 2815 2830 2824 2820 2819 2818 2812 2818 2832 2825 2819 2011 2813 2815 2809 2812 2815 2820 2825 2835 2833 2832 2833 2840 2012 2845 2845 2845 2844 2852 2849 2849 2852 2858 2861 2864 2865 2013 2867 2864 2862 2857 2863 2869 2876 2882 2881 2885 2885 2889 2014 2893 2894 2904 2912 2914 2914 2914 2914 2912 2922 2923 2926 2015 2927 2926 2926 2925 2934 2932 2935 2935 2938 2938 2943 2949 2016 2954 2962 2967 2969 2972 2980 2982 2989 3005 3002 3008 3010 2017 3014 3023 3032 3037 3037 3043 3052 3055 3058 3066 3069 3072 2018 3076 3085 3079 3080 3099 3101 3098 3102 3107 3112 3114 3121 2019 3127 3124 3135 3146 3144 3149 3153 3158 3152 3151 3158 3158 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2811 2815 2830 2824 2820 2819 2818 2812 2818 2832 2825 2819 2011 2813 2815 2809 2812 2815 2820 2825 2835 2833 2832 2833 2840 2012 2845 2845 2845 2844 2852 2849 2849 2852 2858 2861 2864 2865 2013 2867 2864 2862 2857 2863 2869 2876 2882 2881 2885 2885 2889 2014 2893 2894 2904 2912 2914 2914 2914 2914 2912 2922 2923 2926 2015 2927 2927 2926 2927 2935 2932 2934 2934 2937 2938 2943 2949 2016 2954 2963 2967 2972 2973 2981 2984 2988 3003 3001 3008 3009 2017 3014 3022 3032 3038 3039 3044 3055 3055 3055 3064 3067 3072 2018 3076 3084 3079 3084 3104 3109 3109 3115 3119 3124 3129 3139 2019 3147 3147 3156 3166 3165 3169 3173 3178 3171 3168 3173 3174 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 -1 0 -2 -1 0 1 1 1 0 0 0 2016 0 -1 0 -3 -1 -1 -2 1 2 1 0 1 2017 0 1 0 -1 -2 -1 -3 0 3 2 2 0 2018 0 1 0 -4 -5 -8 -11 -13 -12 -12 -15 -18 2019 -20 -23 -21 -20 -21 -20 -20 -20 -19 -17 -15 -16 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 42 80000000 Other services Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6 4 15 -6 -4 -1 -1 -6 6 14 -7 -6 2011 -6 2 -6 3 3 5 5 10 -2 -1 1 7 2012 5 0 0 -1 8 -3 0 3 6 3 3 1 2013 2 -3 -2 -5 6 6 7 6 -1 4 0 4 2014 4 1 10 8 2 0 0 0 -2 10 1 3 2015 1 -1 0 -1 9 -2 3 0 3 0 5 6 2016 5 8 5 2 3 8 2 7 16 -3 6 2 2017 4 9 9 5 0 6 9 3 3 8 3 3 2018 4 9 -6 1 19 2 -3 4 5 5 2 7 2019 6 -3 11 11 -2 5 4 5 -6 -1 7 0 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 6 4 15 -6 -4 -1 -1 -6 6 14 -7 -6 2011 -6 2 -6 3 3 5 5 10 -2 -1 1 7 2012 5 0 0 -1 8 -3 0 3 6 3 3 1 2013 2 -3 -2 -5 6 6 7 6 -1 4 0 4 2014 4 1 10 8 2 0 0 0 -2 10 1 3 2015 1 0 -1 1 8 -3 2 0 3 1 5 6 2016 5 9 4 5 1 8 3 4 15 -2 7 1 2017 5 8 10 6 1 5 11 0 0 9 3 5 2018 4 8 -5 5 20 5 0 6 4 5 5 10 2019 8 0 9 10 -1 4 4 5 -7 -3 5 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 -1 1 -2 1 1 1 0 0 -1 0 0 2016 0 -1 1 -3 2 0 -1 3 1 -1 -1 1 2017 -1 1 -1 -1 -1 1 -2 3 3 -1 0 -2 2018 0 1 -1 -4 -1 -3 -3 -2 1 0 -3 -3 2019 -2 -3 2 1 -1 1 0 0 1 2 2 -1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 43 90000000 Government Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 12847 12835 12850 12874 13083 12972 12896 12798 12699 12712 12698 12687 2011 12697 12667 12667 12671 12640 12662 12617 12562 12564 12565 12545 12533 2012 12530 12522 12518 12506 12495 12494 12491 12486 12471 12463 12460 12468 2013 12466 12479 12476 12475 12466 12440 12441 12456 12467 12466 12468 12456 2014 12451 12453 12467 12485 12482 12490 12486 12463 12510 12516 12531 12540 2015 12551 12577 12565 12582 12595 12603 12613 12615 12616 12627 12635 12651 2016 12664 12685 12712 12712 12715 12711 12799 12790 12796 12783 12783 12788 2017 12787 12794 12803 12805 12796 12807 12824 12824 12834 12834 12853 12850 2018 12840 12878 12882 12883 12907 12926 12924 12953 12960 12961 12966 12973 2019 12984 12989 13000 13013 13012 13026 13044 13076 13077 13081 13092 13095 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 12847 12835 12850 12874 13083 12972 12896 12798 12699 12712 12698 12687 2011 12697 12667 12667 12671 12640 12662 12617 12562 12564 12565 12545 12533 2012 12530 12522 12518 12506 12495 12494 12491 12486 12471 12463 12460 12468 2013 12466 12479 12476 12475 12466 12440 12441 12456 12467 12466 12468 12456 2014 12451 12453 12467 12485 12482 12490 12486 12463 12510 12516 12531 12540 2015 12548 12574 12564 12584 12603 12590 12612 12616 12615 12623 12631 12655 2016 12663 12681 12711 12714 12721 12731 12801 12792 12802 12787 12780 12783 2017 12797 12795 12802 12807 12797 12817 12827 12827 12844 12840 12851 12859 2018 12856 12875 12881 12889 12906 12925 12928 12956 12965 12966 12965 12976 2019 12991 12985 12994 13006 13000 12994 13044 13068 13077 13081 13095 13101 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 3 3 1 -2 -8 13 1 -1 1 4 4 -4 2016 1 4 1 -2 -6 -20 -2 -2 -6 -4 3 5 2017 -10 -1 1 -2 -1 -10 -3 -3 -10 -6 2 -9 2018 -16 3 1 -6 1 1 -4 -3 -5 -5 1 -3 2019 -7 4 6 7 12 32 0 8 0 0 -3 -6 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 44 90000000 Government Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -4 -12 15 24 209 -111 -76 -98 -99 13 -14 -11 2011 10 -30 0 4 -31 22 -45 -55 2 1 -20 -12 2012 -3 -8 -4 -12 -11 -1 -3 -5 -15 -8 -3 8 2013 -2 13 -3 -1 -9 -26 1 15 11 -1 2 -12 2014 -5 2 14 18 -3 8 -4 -23 47 6 15 9 2015 11 26 -12 17 13 8 10 2 1 11 8 16 2016 13 21 27 0 3 -4 88 -9 6 -13 0 5 2017 -1 7 9 2 -9 11 17 0 10 0 19 -3 2018 -10 38 4 1 24 19 -2 29 7 1 5 7 2019 11 5 11 13 -1 14 18 32 1 4 11 3 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -4 -12 15 24 209 -111 -76 -98 -99 13 -14 -11 2011 10 -30 0 4 -31 22 -45 -55 2 1 -20 -12 2012 -3 -8 -4 -12 -11 -1 -3 -5 -15 -8 -3 8 2013 -2 13 -3 -1 -9 -26 1 15 11 -1 2 -12 2014 -5 2 14 18 -3 8 -4 -23 47 6 15 9 2015 8 26 -10 20 19 -13 22 4 -1 8 8 24 2016 8 18 30 3 7 10 70 -9 10 -15 -7 3 2017 14 -2 7 5 -10 20 10 0 17 -4 11 8 2018 -3 19 6 8 17 19 3 28 9 1 -1 11 2019 15 -6 9 12 -6 -6 50 24 9 4 14 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 3 0 -2 -3 -6 21 -12 -2 2 3 0 -8 2016 5 3 -3 -3 -4 -14 18 0 -4 2 7 2 2017 -15 9 2 -3 1 -9 7 0 -7 4 8 -11 2018 -7 19 -2 -7 7 0 -5 1 -2 0 6 -4 2019 -4 11 2 1 5 20 -32 8 -8 0 -3 -3 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 45 90910000 Federal Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1269 1277 1301 1332 1534 1428 1359 1311 1273 1273 1273 1274 2011 1277 1278 1279 1276 1278 1272 1269 1264 1261 1260 1257 1256 2012 1254 1250 1251 1251 1249 1251 1252 1250 1249 1252 1243 1243 2013 1243 1246 1240 1242 1234 1230 1226 1224 1222 1215 1218 1217 2014 1215 1211 1209 1207 1207 1206 1207 1209 1209 1209 1210 1212 2015 1214 1215 1217 1221 1219 1219 1221 1222 1221 1221 1223 1227 2016 1225 1229 1230 1229 1236 1238 1239 1239 1241 1237 1238 1244 2017 1244 1243 1244 1239 1244 1244 1244 1243 1244 1244 1243 1241 2018 1247 1243 1243 1244 1244 1246 1249 1251 1252 1253 1258 1257 2019 1257 1259 1261 1264 1267 1271 1273 1286 1289 1284 1288 1290 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 1269 1277 1301 1332 1534 1428 1359 1311 1273 1273 1273 1274 2011 1277 1278 1279 1276 1278 1272 1269 1264 1261 1260 1257 1256 2012 1254 1250 1251 1251 1249 1251 1252 1250 1249 1252 1243 1243 2013 1243 1246 1240 1242 1234 1230 1226 1224 1222 1215 1218 1217 2014 1215 1211 1209 1207 1207 1206 1207 1209 1209 1209 1210 1212 2015 1213 1215 1217 1221 1219 1219 1220 1222 1221 1220 1222 1228 2016 1223 1229 1230 1228 1236 1238 1239 1240 1242 1239 1238 1243 2017 1242 1243 1243 1239 1244 1244 1244 1243 1244 1246 1245 1243 2018 1244 1243 1242 1243 1244 1246 1248 1249 1249 1252 1256 1255 2019 1254 1255 1257 1258 1264 1268 1270 1280 1287 1281 1284 1286 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 1 0 0 0 0 0 1 0 0 1 1 -1 2016 2 0 0 1 0 0 0 -1 -1 -2 0 1 2017 2 0 1 0 0 0 0 0 0 -2 -2 -2 2018 3 0 1 1 0 0 1 2 3 1 2 2 2019 3 4 4 6 3 3 3 6 2 3 4 4 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 46 90910000 Federal Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 12 8 24 31 202 -106 -69 -48 -38 0 0 1 2011 3 1 1 -3 2 -6 -3 -5 -3 -1 -3 -1 2012 -2 -4 1 0 -2 2 1 -2 -1 3 -9 0 2013 0 3 -6 2 -8 -4 -4 -2 -2 -7 3 -1 2014 -2 -4 -2 -2 0 -1 1 2 0 0 1 2 2015 2 1 2 4 -2 0 2 1 -1 0 2 4 2016 -2 4 1 -1 7 2 1 0 2 -4 1 6 2017 0 -1 1 -5 5 0 0 -1 1 0 -1 -2 2018 6 -4 0 1 0 2 3 2 1 1 5 -1 2019 0 2 2 3 3 4 2 13 3 -5 4 2 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 12 8 24 31 202 -106 -69 -48 -38 0 0 1 2011 3 1 1 -3 2 -6 -3 -5 -3 -1 -3 -1 2012 -2 -4 1 0 -2 2 1 -2 -1 3 -9 0 2013 0 3 -6 2 -8 -4 -4 -2 -2 -7 3 -1 2014 -2 -4 -2 -2 0 -1 1 2 0 0 1 2 2015 1 2 2 4 -2 0 1 2 -1 -1 2 6 2016 -5 6 1 -2 8 2 1 1 2 -3 -1 5 2017 -1 1 0 -4 5 0 0 -1 1 2 -1 -2 2018 1 -1 -1 1 1 2 2 1 0 3 4 -1 2019 -1 1 2 1 6 4 2 10 7 -6 3 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 1 -1 0 0 0 0 1 -1 0 1 0 -2 2016 3 -2 0 1 -1 0 0 -1 0 -1 2 1 2017 1 -2 1 -1 0 0 0 0 0 -2 0 0 2018 5 -3 1 0 -1 0 1 1 1 -2 1 0 2019 1 1 0 2 -3 0 0 3 -4 1 1 0 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 47 90920000 State government Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2624 2626 2625 2626 2633 2647 2662 2654 2644 2649 2650 2649 2011 2661 2643 2642 2643 2646 2640 2660 2643 2643 2638 2636 2637 2012 2639 2638 2643 2645 2648 2648 2652 2655 2657 2651 2652 2649 2013 2643 2652 2658 2653 2647 2638 2644 2645 2646 2652 2651 2649 2014 2647 2646 2649 2648 2646 2645 2641 2634 2650 2655 2663 2670 2015 2677 2691 2686 2690 2695 2702 2703 2706 2713 2717 2721 2720 2016 2721 2722 2726 2729 2723 2739 2747 2752 2763 2755 2755 2759 2017 2764 2768 2773 2778 2780 2779 2783 2779 2779 2781 2790 2782 2018 2780 2778 2784 2787 2793 2805 2798 2802 2809 2806 2804 2804 2019 2804 2807 2807 2804 2794 2796 2799 2808 2804 2805 2808 2802 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 2624 2626 2625 2626 2633 2647 2662 2654 2644 2649 2650 2649 2011 2661 2643 2642 2643 2646 2640 2660 2643 2643 2638 2636 2637 2012 2639 2638 2643 2645 2648 2648 2652 2655 2657 2651 2652 2649 2013 2643 2652 2658 2653 2647 2638 2644 2645 2646 2652 2651 2649 2014 2647 2646 2649 2648 2646 2645 2641 2634 2650 2655 2663 2670 2015 2675 2689 2686 2691 2697 2700 2703 2707 2714 2717 2719 2721 2016 2719 2720 2726 2730 2724 2739 2748 2753 2762 2756 2752 2759 2017 2768 2773 2775 2778 2779 2777 2782 2780 2780 2782 2788 2786 2018 2783 2785 2787 2789 2792 2801 2797 2805 2817 2811 2805 2810 2019 2814 2817 2812 2808 2797 2798 2808 2811 2811 2809 2813 2806 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 2 2 0 -1 -2 2 0 -1 -1 0 2 -1 2016 2 2 0 -1 -1 0 -1 -1 1 -1 3 0 2017 -4 -5 -2 0 1 2 1 -1 -1 -1 2 -4 2018 -3 -7 -3 -2 1 4 1 -3 -8 -5 -1 -6 2019 -10 -10 -5 -4 -3 -2 -9 -3 -7 -4 -5 -4 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 48 90920000 State government Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7 2 -1 1 7 14 15 -8 -10 5 1 -1 2011 12 -18 -1 1 3 -6 20 -17 0 -5 -2 1 2012 2 -1 5 2 3 0 4 3 2 -6 1 -3 2013 -6 9 6 -5 -6 -9 6 1 1 6 -1 -2 2014 -2 -1 3 -1 -2 -1 -4 -7 16 5 8 7 2015 7 14 -5 4 5 7 1 3 7 4 4 -1 2016 1 1 4 3 -6 16 8 5 11 -8 0 4 2017 5 4 5 5 2 -1 4 -4 0 2 9 -8 2018 -2 -2 6 3 6 12 -7 4 7 -3 -2 0 2019 0 3 0 -3 -10 2 3 9 -4 1 3 -6 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 7 2 -1 1 7 14 15 -8 -10 5 1 -1 2011 12 -18 -1 1 3 -6 20 -17 0 -5 -2 1 2012 2 -1 5 2 3 0 4 3 2 -6 1 -3 2013 -6 9 6 -5 -6 -9 6 1 1 6 -1 -2 2014 -2 -1 3 -1 -2 -1 -4 -7 16 5 8 7 2015 5 14 -3 5 6 3 3 4 7 3 2 2 2016 -2 1 6 4 -6 15 9 5 9 -6 -4 7 2017 9 5 2 3 1 -2 5 -2 0 2 6 -2 2018 -3 2 2 2 3 9 -4 8 12 -6 -6 5 2019 4 3 -5 -4 -11 1 10 3 0 -2 4 -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 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 2 0 -2 -1 -1 4 -2 -1 0 1 2 -3 2016 3 0 -2 -1 0 1 -1 0 2 -2 4 -3 2017 -4 -1 3 2 1 1 -1 -2 0 0 3 -6 2018 1 -4 4 1 3 3 -3 -4 -5 3 4 -5 2019 -4 0 5 1 1 1 -7 6 -4 3 -1 1 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 49 90930000 Local government Women Employees (in thousands), Seasonally Adjusted As revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 8954 8932 8924 8916 8916 8897 8875 8833 8782 8790 8775 8764 2011 8759 8746 8746 8752 8716 8750 8688 8655 8660 8667 8652 8640 2012 8637 8634 8624 8610 8598 8595 8587 8581 8565 8560 8565 8576 2013 8580 8581 8578 8580 8585 8572 8571 8587 8599 8599 8599 8590 2014 8589 8596 8609 8630 8629 8639 8638 8620 8651 8652 8658 8658 2015 8660 8671 8662 8671 8681 8682 8689 8687 8682 8689 8691 8704 2016 8718 8734 8756 8754 8756 8734 8813 8799 8792 8791 8790 8785 2017 8779 8783 8786 8788 8772 8784 8797 8802 8811 8809 8820 8827 2018 8813 8857 8855 8852 8870 8875 8877 8900 8899 8902 8904 8912 2019 8923 8923 8932 8945 8951 8959 8972 8982 8984 8992 8996 9003 p As previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 8954 8932 8924 8916 8916 8897 8875 8833 8782 8790 8775 8764 2011 8759 8746 8746 8752 8716 8750 8688 8655 8660 8667 8652 8640 2012 8637 8634 8624 8610 8598 8595 8587 8581 8565 8560 8565 8576 2013 8580 8581 8578 8580 8585 8572 8571 8587 8599 8599 8599 8590 2014 8589 8596 8609 8630 8629 8639 8638 8620 8651 8652 8658 8658 2015 8660 8670 8661 8672 8687 8671 8689 8687 8680 8686 8690 8706 2016 8721 8732 8755 8756 8761 8754 8814 8799 8798 8792 8790 8781 2017 8787 8779 8784 8790 8774 8796 8801 8804 8820 8812 8818 8830 2018 8829 8847 8852 8857 8870 8878 8883 8902 8899 8903 8904 8911 2019 8923 8913 8925 8940 8939 8928 8966 8977 8979 8991 8998 9009 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 1 1 -1 -6 11 0 0 2 3 1 -2 2016 -3 2 1 -2 -5 -20 -1 0 -6 -1 0 4 2017 -8 4 2 -2 -2 -12 -4 -2 -9 -3 2 -3 2018 -16 10 3 -5 0 -3 -6 -2 0 -1 0 1 2019 0 10 7 5 12 31 6 5 5 1 -2 -6 p Comparison of Women Employees, Seasonally Adjusted, before and after the March 2019 Benchmark 50 90930000 Local government Women Employees (in thousands), Seasonally Adjusted Over-the-month change as revised (BM2019) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -23 -22 -8 -8 0 -19 -22 -42 -51 8 -15 -11 2011 -5 -13 0 6 -36 34 -62 -33 5 7 -15 -12 2012 -3 -3 -10 -14 -12 -3 -8 -6 -16 -5 5 11 2013 4 1 -3 2 5 -13 -1 16 12 0 0 -9 2014 -1 7 13 21 -1 10 -1 -18 31 1 6 0 2015 2 11 -9 9 10 1 7 -2 -5 7 2 13 2016 14 16 22 -2 2 -22 79 -14 -7 -1 -1 -5 2017 -6 4 3 2 -16 12 13 5 9 -2 11 7 2018 -14 44 -2 -3 18 5 2 23 -1 3 2 8 2019 11 0 9 13 6 8 13 10 2 8 4 7 p Over-the-month change as previously published (BM2018) YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 2010 -23 -22 -8 -8 0 -19 -22 -42 -51 8 -15 -11 2011 -5 -13 0 6 -36 34 -62 -33 5 7 -15 -12 2012 -3 -3 -10 -14 -12 -3 -8 -6 -16 -5 5 11 2013 4 1 -3 2 5 -13 -1 16 12 0 0 -9 2014 -1 7 13 21 -1 10 -1 -18 31 1 6 0 2015 2 10 -9 11 15 -16 18 -2 -7 6 4 16 2016 15 11 23 1 5 -7 60 -15 -1 -6 -2 -9 2017 6 -8 5 6 -16 22 5 3 16 -8 6 12 2018 -1 18 5 5 13 8 5 19 -3 4 1 7 2019 12 -10 12 15 -1 -11 38 11 2 12 7 11 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 1 0 -2 -5 17 -11 0 2 1 -2 -3 2016 -1 5 -1 -3 -3 -15 19 1 -6 5 1 4 2017 -12 12 -2 -4 0 -10 8 2 -7 6 5 -5 2018 -13 26 -7 -8 5 -3 -3 4 2 -1 1 1 2019 -1 10 -3 -2 7 19 -25 -1 0 -4 -3 -4 p