1 00:00:05,200 --> 00:00:07,600 Speaker 1: Hey, this is Anny and Samantha. Welcome to stuff I've 2 00:00:07,600 --> 00:00:09,719 Speaker 1: never told your prediction of iHeartRadio. 3 00:00:18,600 --> 00:00:20,759 Speaker 2: And y'all, yes, we are here with a Monday Mini 4 00:00:20,880 --> 00:00:22,880 Speaker 2: that we're going to talk about a lot of numbers 5 00:00:22,880 --> 00:00:26,599 Speaker 2: and statistics. With the economy the way it is, it's 6 00:00:26,640 --> 00:00:32,479 Speaker 2: been interesting question mark to watch how the job market 7 00:00:32,520 --> 00:00:37,680 Speaker 2: continues to progress or not progress, and we started wondering 8 00:00:37,720 --> 00:00:40,280 Speaker 2: what it looks like for women in the job market today. 9 00:00:40,520 --> 00:00:45,040 Speaker 2: Spoiler alert, not much has changed in the last twenty years. 10 00:00:45,280 --> 00:00:47,839 Speaker 2: So we've talked about this often. We talked about it 11 00:00:47,920 --> 00:00:50,680 Speaker 2: right after the pandemic, during the pandemic, before the pandemic. 12 00:00:50,760 --> 00:00:53,400 Speaker 2: We keep talking about it, and I think it's important 13 00:00:53,400 --> 00:00:56,720 Speaker 2: that we continue to do so because until there's actual change, 14 00:00:56,920 --> 00:01:00,280 Speaker 2: we need to recognize that there are things that could 15 00:01:00,280 --> 00:01:03,680 Speaker 2: be done that's not done. Yeah, there's so much happening. 16 00:01:03,720 --> 00:01:06,560 Speaker 2: But with that, I thought we would take a moment 17 00:01:06,600 --> 00:01:10,360 Speaker 2: and talk about women dominated careers and then also gender 18 00:01:10,400 --> 00:01:14,200 Speaker 2: gaps in different fields and what that looks like and 19 00:01:14,280 --> 00:01:16,640 Speaker 2: what we need to talk about today. A lot of 20 00:01:16,680 --> 00:01:19,399 Speaker 2: the statistics are coming from twenty twenty three and twenty 21 00:01:19,440 --> 00:01:25,360 Speaker 2: twenty four, so here's some specific numbers from the Department 22 00:01:25,400 --> 00:01:31,000 Speaker 2: of Labor talking about most common occupations for women in 23 00:01:31,040 --> 00:01:34,080 Speaker 2: the labor force. So a little different in that we're 24 00:01:34,120 --> 00:01:36,280 Speaker 2: not talking about everything, and we will we will, but 25 00:01:36,480 --> 00:01:39,000 Speaker 2: this is specifically in the labor force, and they're talking 26 00:01:39,000 --> 00:01:43,800 Speaker 2: about registered nurse is the highest for women, and they 27 00:01:43,880 --> 00:01:48,000 Speaker 2: have about two point two million women in that labor force. 28 00:01:48,240 --> 00:01:50,120 Speaker 2: I didn't realize that high. And that is the highest 29 00:01:50,160 --> 00:01:53,559 Speaker 2: number that I've seen. Elementary and middle school teachers one million, 30 00:01:53,600 --> 00:01:56,560 Speaker 2: seven hundred and ninety nine thousand, so around that point 31 00:01:56,800 --> 00:02:00,720 Speaker 2: we have managers and all other I know what all 32 00:02:00,840 --> 00:02:03,400 Speaker 2: other means, but you know, I was gonna put that there, 33 00:02:03,680 --> 00:02:06,200 Speaker 2: which is at one point five million, But then if 34 00:02:06,240 --> 00:02:07,440 Speaker 2: you go all the way down, because I'm not going 35 00:02:07,440 --> 00:02:08,800 Speaker 2: to go through all of it, A lot of it 36 00:02:08,840 --> 00:02:12,519 Speaker 2: has to do with teaching assistance, a receptionist assistance. There's 37 00:02:12,560 --> 00:02:15,200 Speaker 2: a few about human resource workers, all of that. The 38 00:02:15,280 --> 00:02:19,160 Speaker 2: lowest number that I have on according to the Department 39 00:02:19,200 --> 00:02:22,239 Speaker 2: of Labor is janitors and building cleaners, whichhit at four 40 00:02:22,280 --> 00:02:25,680 Speaker 2: hundred and twenty seven thousand, post secondary teachers, which I 41 00:02:25,720 --> 00:02:28,680 Speaker 2: hit at four hundred and forty five thousand, and preschool 42 00:02:28,680 --> 00:02:31,800 Speaker 2: in kindergarten teachers. I have five hundred and five thousand, 43 00:02:32,120 --> 00:02:35,000 Speaker 2: which I was kind of surprised by that number. I 44 00:02:35,040 --> 00:02:38,400 Speaker 2: would have thought was much higher the entirety of the 45 00:02:38,400 --> 00:02:40,560 Speaker 2: time that I worked in preschool, and yes, I taught 46 00:02:40,600 --> 00:02:43,440 Speaker 2: pre school for about four years, y'all. I'm a well 47 00:02:43,560 --> 00:02:46,720 Speaker 2: rounded worker. There was never a dude. 48 00:02:48,040 --> 00:02:52,040 Speaker 1: Yeah, I can't think of a in my experience, and 49 00:02:52,280 --> 00:02:57,000 Speaker 1: just like my anecdotal right experience, I can't think of 50 00:02:57,360 --> 00:02:59,280 Speaker 1: a man who is a guarden teacher. 51 00:02:59,440 --> 00:03:03,600 Speaker 2: I think the first male teacher outside of like coaches 52 00:03:03,680 --> 00:03:08,920 Speaker 2: and gym class didn't have happen until high school. For me. 53 00:03:09,320 --> 00:03:10,959 Speaker 1: Well, that's a good point. I think mine was in 54 00:03:11,000 --> 00:03:12,920 Speaker 1: middle school, but not in elementary school. 55 00:03:13,040 --> 00:03:15,360 Speaker 2: Yeah, not elementary school, not kindergarten. So I thought that 56 00:03:15,440 --> 00:03:17,640 Speaker 2: was interesting in itself. So those are some of the 57 00:03:17,720 --> 00:03:21,680 Speaker 2: stats that I see. Receptionists and clerks at six hundred 58 00:03:21,680 --> 00:03:24,799 Speaker 2: and seventy thousand, so below the millions mark. Of course, 59 00:03:24,880 --> 00:03:30,160 Speaker 2: the secretary and administrators were at one point four million, 60 00:03:30,200 --> 00:03:31,600 Speaker 2: and we are going to talk about them a little 61 00:03:31,639 --> 00:03:35,680 Speaker 2: more in a bit. So according to inhrsite dot com, 62 00:03:36,000 --> 00:03:39,640 Speaker 2: here are some of the reasons why these industries are 63 00:03:39,760 --> 00:03:44,880 Speaker 2: mostly women industries. There's the historic reason some industries childcare, education, 64 00:03:45,200 --> 00:03:49,480 Speaker 2: nursing have always been more populated with women do largely 65 00:03:49,920 --> 00:03:53,960 Speaker 2: in part to sexism relegating women to gender specific roles 66 00:03:54,000 --> 00:03:58,200 Speaker 2: with women as caretakers. While that is changing, it's not 67 00:03:58,320 --> 00:04:02,320 Speaker 2: changing quickly. Studies just a jobs associated with higher risks 68 00:04:02,520 --> 00:04:05,600 Speaker 2: construction and manufacturing, as we talked about, appill more to 69 00:04:05,680 --> 00:04:08,560 Speaker 2: men because women aren't as willing to risk their lives 70 00:04:08,640 --> 00:04:12,000 Speaker 2: to make a living. Other experts have said women tend 71 00:04:12,080 --> 00:04:15,400 Speaker 2: to avoid male dominated industries so they can avoid the 72 00:04:15,440 --> 00:04:20,240 Speaker 2: gender related harassment that can come with them, and sometimes 73 00:04:20,520 --> 00:04:23,160 Speaker 2: the occupations that appeal to women tend to offer a 74 00:04:23,160 --> 00:04:26,800 Speaker 2: better work life balance than those that attract more men. 75 00:04:27,200 --> 00:04:30,599 Speaker 2: A perk necessary because women often do more child rearing, 76 00:04:31,040 --> 00:04:35,880 Speaker 2: household yours, and unpaid labor than their significant others. We 77 00:04:35,960 --> 00:04:39,640 Speaker 2: talked about this a lot constantly. We did. We talked 78 00:04:39,640 --> 00:04:43,000 Speaker 2: about why women were quitting right after the pandemic or 79 00:04:43,080 --> 00:04:45,839 Speaker 2: during the pandemic, because it was impossible for them to 80 00:04:45,920 --> 00:04:48,240 Speaker 2: do that, especially when they were staying at home and working, 81 00:04:48,480 --> 00:04:51,560 Speaker 2: because the automatic assumption was they would also be doing 82 00:04:51,640 --> 00:04:54,400 Speaker 2: that unpaid labor at the same time, and it was 83 00:04:55,480 --> 00:04:59,520 Speaker 2: not working. It isn't working. And coming back to those statistics, 84 00:05:00,160 --> 00:05:04,200 Speaker 2: to statista dot com with twenty occupations with the highest 85 00:05:04,279 --> 00:05:08,400 Speaker 2: share of female employees worldwide in twenty twenty three and 86 00:05:08,680 --> 00:05:11,880 Speaker 2: this one, they have childcare workers and teachers AID as 87 00:05:11,960 --> 00:05:15,000 Speaker 2: the top occupation and that is held at twenty three 88 00:05:15,080 --> 00:05:19,160 Speaker 2: point eight percent of those workers are women, So that's 89 00:05:19,560 --> 00:05:22,120 Speaker 2: ridiculously high, which is what I wanted to assume. And 90 00:05:22,160 --> 00:05:27,360 Speaker 2: then nursing and midwivary associate professionals they hold about eighty 91 00:05:27,360 --> 00:05:33,840 Speaker 2: two percent of the UH employment. The lower ones kind 92 00:05:33,839 --> 00:05:37,960 Speaker 2: of along the whole, like rugged path I guess it's 93 00:05:38,000 --> 00:05:42,200 Speaker 2: textile for and leather products, machine operators, which they held 94 00:05:42,200 --> 00:05:45,960 Speaker 2: at forty seven percent, which seems really specific, but also 95 00:05:46,120 --> 00:05:48,880 Speaker 2: kind of surprising when it comes to like machine products 96 00:05:49,640 --> 00:05:55,960 Speaker 2: because we know worldwide the use of labor, like outsourced labor. 97 00:05:56,400 --> 00:06:01,400 Speaker 2: I imagine we're mainly women for that type, do you 98 00:06:01,480 --> 00:06:01,960 Speaker 2: know what I mean? 99 00:06:02,480 --> 00:06:06,560 Speaker 1: Yeah, yeah, I don't know. That's interesting. 100 00:06:06,960 --> 00:06:10,640 Speaker 2: But there's also a subsistence of livestock farmers, which they 101 00:06:10,640 --> 00:06:14,240 Speaker 2: held fifty percent of that occupation, which was also surprising 102 00:06:14,240 --> 00:06:18,120 Speaker 2: for me. Maybe that's come around since then. We have 103 00:06:18,240 --> 00:06:21,680 Speaker 2: librarians and archivists and curators holding out fifty nine percent, 104 00:06:22,120 --> 00:06:26,400 Speaker 2: and then general secretaries or were fifty five percent. These 105 00:06:26,480 --> 00:06:29,000 Speaker 2: numbers don't seem to match up in my head. 106 00:06:30,480 --> 00:06:31,480 Speaker 1: What's your experience? 107 00:06:31,680 --> 00:06:33,800 Speaker 2: Well, no, because between the Department of Labor. 108 00:06:33,640 --> 00:06:37,080 Speaker 1: Numbers, Oh I see, I see, But this is like 109 00:06:37,120 --> 00:06:40,320 Speaker 1: the difference. This is worldwide I guess the US and worldwide. 110 00:06:40,400 --> 00:06:44,120 Speaker 2: Yeah, yeah, yeah, which is a whole different conversation in itself. 111 00:06:44,200 --> 00:06:47,159 Speaker 2: So let's do some status and pay from both in 112 00:06:47,240 --> 00:06:51,960 Speaker 2: her Sight and top resume dot com. So they give 113 00:06:52,000 --> 00:06:55,360 Speaker 2: you different numbers, and in this one they say forty 114 00:06:55,400 --> 00:06:58,320 Speaker 2: women dominated careers and their salaries. And yes, this is 115 00:06:58,360 --> 00:07:01,600 Speaker 2: based off the US Bureau of Labor statistics and it's 116 00:07:01,640 --> 00:07:04,159 Speaker 2: compiled within the US workforce. But this was from twenty 117 00:07:04,160 --> 00:07:06,880 Speaker 2: twenty one, So this is in her Sight from twenty 118 00:07:06,880 --> 00:07:08,880 Speaker 2: twenty one, so it was a little outdated. And I 119 00:07:08,960 --> 00:07:11,880 Speaker 2: will say, even though not much has changed, the numbers 120 00:07:11,880 --> 00:07:15,240 Speaker 2: have changed, the figures have changed, so statistics not necessarily, 121 00:07:15,240 --> 00:07:17,440 Speaker 2: but when it comes to pay and increase in all 122 00:07:17,480 --> 00:07:20,080 Speaker 2: that that has changed. So keep that in mind, because 123 00:07:20,080 --> 00:07:24,720 Speaker 2: this was from twenty twenty one. It says speech language pathologist, 124 00:07:24,720 --> 00:07:27,680 Speaker 2: which happen to be a big thing with women. Apparently 125 00:07:28,000 --> 00:07:30,440 Speaker 2: they hold about ninety five percent and they make eighty 126 00:07:30,480 --> 00:07:35,400 Speaker 2: five thousand dollars a year. Phlebotomus kept popping up as 127 00:07:35,480 --> 00:07:39,520 Speaker 2: one of the highest based careers and they hold ninety 128 00:07:39,520 --> 00:07:42,360 Speaker 2: percent of that with only thirty eight thousand. I think 129 00:07:42,360 --> 00:07:45,360 Speaker 2: it would make more than that. Of course, social workers 130 00:07:45,480 --> 00:07:48,400 Speaker 2: my world here, they eighty three percent are made up 131 00:07:48,440 --> 00:07:53,840 Speaker 2: of women. They make fifty seven where causeout no sorry 132 00:07:54,040 --> 00:07:57,040 Speaker 2: sorry anyway. Nurse practitioners which we talked about a little 133 00:07:57,040 --> 00:07:59,440 Speaker 2: bit earlier, they hold about eighty seven percent and they 134 00:07:59,480 --> 00:08:03,320 Speaker 2: make a hundred in eighteen thousand. Nice. Nice, nice. Then 135 00:08:03,360 --> 00:08:06,360 Speaker 2: we have home health aids who make up eighty seven 136 00:08:06,400 --> 00:08:10,400 Speaker 2: percent and only make twenty nine thousand. That's specific to 137 00:08:10,440 --> 00:08:12,160 Speaker 2: medicine and health, by the way. And then we have 138 00:08:12,520 --> 00:08:16,240 Speaker 2: that in business. So when we see executive secretaries and 139 00:08:16,320 --> 00:08:21,520 Speaker 2: executive administrative assistance, ninety six percent are held by women, 140 00:08:21,960 --> 00:08:24,400 Speaker 2: which was on board with the Department of Labor. They 141 00:08:24,400 --> 00:08:27,920 Speaker 2: make sixty six thousand, a little over receptionists, I guess, 142 00:08:27,960 --> 00:08:31,560 Speaker 2: not the executive level, but receptionists and information clerks. They 143 00:08:31,600 --> 00:08:35,640 Speaker 2: held ninety percent of those positions, and that's thirty two thousand. 144 00:08:37,080 --> 00:08:40,760 Speaker 2: That's within the business office and then human resources manager 145 00:08:41,040 --> 00:08:43,240 Speaker 2: that's about eighty percent are made up of women. And 146 00:08:43,280 --> 00:08:44,920 Speaker 2: you don't, I don't know, I feel like we need 147 00:08:44,960 --> 00:08:47,280 Speaker 2: to come back to this. This maybe really really specific. 148 00:08:47,400 --> 00:08:49,480 Speaker 2: But as I'm listening to, like you know, am I 149 00:08:49,559 --> 00:08:51,680 Speaker 2: the whole types of rattus and all these like ask 150 00:08:51,840 --> 00:08:56,319 Speaker 2: questions to the internet type of conversations, human resource managers 151 00:08:56,320 --> 00:09:00,199 Speaker 2: are mean, but they are seen as almost it's like 152 00:09:00,240 --> 00:09:02,880 Speaker 2: the main girls of the office, which I found interesting, 153 00:09:03,120 --> 00:09:05,520 Speaker 2: and that the eighty percent of them are held by women. 154 00:09:05,920 --> 00:09:08,959 Speaker 2: I wonder, I wonder if this is a sexist narrative 155 00:09:09,480 --> 00:09:13,160 Speaker 2: that just comes they need to blame somebody because unfortunately 156 00:09:13,440 --> 00:09:17,479 Speaker 2: HR is blamed for so many things when in actuality 157 00:09:17,640 --> 00:09:20,320 Speaker 2: that's just the director of their following. Maybe I don't know, 158 00:09:20,720 --> 00:09:23,800 Speaker 2: I don't know, just wondering, just wondering. But they do 159 00:09:23,880 --> 00:09:25,880 Speaker 2: make one hundred and thirty six thousand dollars a year, 160 00:09:25,960 --> 00:09:39,840 Speaker 2: so get it, okay, ladies, get it. Then. Careers related 161 00:09:39,840 --> 00:09:43,080 Speaker 2: to money, payroll and timekeeping clerks eighty six percent are 162 00:09:43,080 --> 00:09:46,360 Speaker 2: held by women, book keeping, accounting audience clerks eighty four 163 00:09:46,400 --> 00:09:50,600 Speaker 2: percent are held by women. Tellers only seventy six percent 164 00:09:50,640 --> 00:09:52,920 Speaker 2: are held by women, which I thought would be much higher. 165 00:09:52,960 --> 00:09:54,800 Speaker 2: To be honest, I thought they kind of would hit 166 00:09:54,800 --> 00:09:58,640 Speaker 2: like the nurse practitioner skill who knows tellers make thirty 167 00:09:58,679 --> 00:10:02,920 Speaker 2: four thousand, timekeeping makes forty nine thousand, and bookkeeping makes 168 00:10:02,960 --> 00:10:06,560 Speaker 2: forty five thousand, and accounting as well. We have health 169 00:10:06,600 --> 00:10:10,440 Speaker 2: and fitness, these aren't surprising to me. Skincare specialists ninety 170 00:10:10,480 --> 00:10:13,439 Speaker 2: eight percent of positions are held by women and they 171 00:10:13,440 --> 00:10:17,280 Speaker 2: make around forty one thousand. Hairdressers, cosmetologists ninety two percent 172 00:10:17,280 --> 00:10:20,680 Speaker 2: are held by women, around thirty six thousand. Massage therapists 173 00:10:20,880 --> 00:10:24,840 Speaker 2: eighty three percent are held by women, and manicurists and 174 00:10:24,880 --> 00:10:27,560 Speaker 2: pedicurists are eighty three percent are held by women, So 175 00:10:27,600 --> 00:10:30,280 Speaker 2: those are not super surprising. When we go back and 176 00:10:30,320 --> 00:10:34,400 Speaker 2: talk about education, preschool and kindergarten teachers on here says 177 00:10:34,400 --> 00:10:36,920 Speaker 2: this ninety six percent held by women, which is not 178 00:10:36,960 --> 00:10:39,160 Speaker 2: what we saw in the Department of Labor, So I 179 00:10:39,200 --> 00:10:43,400 Speaker 2: wonder where those numbers changed. Childcare in general ninety four 180 00:10:43,440 --> 00:10:47,719 Speaker 2: percent are held by women. They have a school. Psychologists 181 00:10:47,840 --> 00:10:50,680 Speaker 2: ninety one percent are held by women, which is surprising 182 00:10:50,679 --> 00:10:53,640 Speaker 2: to me because I have men, and I have a 183 00:10:53,640 --> 00:10:57,520 Speaker 2: couple of men who are my school psychologists, which is 184 00:10:57,520 --> 00:11:00,640 Speaker 2: surprising for a small town in Elija, Georgia. When we 185 00:11:00,679 --> 00:11:04,120 Speaker 2: talked about the elementary modlet school teachers, seventy nine percent 186 00:11:04,200 --> 00:11:07,720 Speaker 2: were held by women. In the creative industries, floral designers, 187 00:11:07,760 --> 00:11:10,880 Speaker 2: seventy six percent are held by women, and then more 188 00:11:11,000 --> 00:11:15,280 Speaker 2: women dominated careers can include pair legals and hostesses and restaurants, 189 00:11:15,480 --> 00:11:20,040 Speaker 2: library assistants, interpreters and translators are actually held by women 190 00:11:20,040 --> 00:11:22,440 Speaker 2: as well, and they make about thirty seventy three percent 191 00:11:22,480 --> 00:11:24,200 Speaker 2: and they can make fifty eight thousand a year. 192 00:11:24,520 --> 00:11:27,040 Speaker 1: We've been meeting to do an episode on Yeah Wild. 193 00:11:27,640 --> 00:11:29,559 Speaker 2: So some of these were surprising, some of them were 194 00:11:29,600 --> 00:11:31,439 Speaker 2: not surprising. Some of them were surprising in that there 195 00:11:31,440 --> 00:11:35,920 Speaker 2: were even bigger gaps and larger gaps of like only 196 00:11:35,960 --> 00:11:40,440 Speaker 2: six percent or men. That's shocking to me on some things. Yeah, 197 00:11:40,480 --> 00:11:44,840 Speaker 2: we talked about it. The skincare specialists is a huge 198 00:11:45,280 --> 00:11:48,520 Speaker 2: on top resume, they're saying ninety nine percent are made 199 00:11:48,600 --> 00:11:49,200 Speaker 2: up by women. 200 00:11:49,280 --> 00:11:51,880 Speaker 1: You know what the frustrating thing is though, that one 201 00:11:51,920 --> 00:11:54,080 Speaker 1: percent of men they like make more money. 202 00:11:55,360 --> 00:11:57,200 Speaker 2: And the other part to this is I'm kind of 203 00:11:57,240 --> 00:12:01,599 Speaker 2: confused because when I see, like when they say skincare specialists. 204 00:12:01,640 --> 00:12:06,320 Speaker 2: I'm assuming they're not talking about plastic surgery or surgery, 205 00:12:07,080 --> 00:12:09,760 Speaker 2: which I assume would be along those lines. Dermatologists and 206 00:12:09,760 --> 00:12:12,400 Speaker 2: specialists like that who are actually, you know, doctors. They 207 00:12:12,400 --> 00:12:16,400 Speaker 2: often work in medical spas, health spas, salons, and independently 208 00:12:16,480 --> 00:12:19,680 Speaker 2: owned so literally technicians, I guess is what I've seen 209 00:12:19,679 --> 00:12:23,200 Speaker 2: in the title as if you work in the skincare industry, 210 00:12:23,280 --> 00:12:26,160 Speaker 2: let me know, because I'd like. I find it fascinating. 211 00:12:26,200 --> 00:12:28,719 Speaker 2: I think it's such a great field I trust. I 212 00:12:28,880 --> 00:12:30,960 Speaker 2: trust those specialists more than I do doctors. I don't 213 00:12:31,000 --> 00:12:33,960 Speaker 2: know why. And people who want to put me under 214 00:12:33,960 --> 00:12:37,160 Speaker 2: the knife, like give me other solutions, you know what 215 00:12:37,200 --> 00:12:40,200 Speaker 2: I'm saying. Again, we talked about preschool teachers and kindergartens. 216 00:12:40,240 --> 00:12:43,560 Speaker 2: They're saying that ninety six percent are made up of women. 217 00:12:43,880 --> 00:12:47,280 Speaker 2: So I don't know why, the Labor Board why. I 218 00:12:47,360 --> 00:12:49,959 Speaker 2: wonder what that statistic came from, or if it was 219 00:12:50,000 --> 00:12:53,280 Speaker 2: a mistake. Dental hygienis, which we didn't talk about earlier, 220 00:12:53,360 --> 00:12:57,320 Speaker 2: they make about ninety five percent of women, make up 221 00:12:57,360 --> 00:12:59,720 Speaker 2: ninety five percent of the workforce, and they make eighty 222 00:12:59,720 --> 00:13:03,920 Speaker 2: seven thousand dollars With an associate degree so yeah, get it. Yeah, 223 00:13:03,960 --> 00:13:06,000 Speaker 2: they make or break a dentist office. 224 00:13:06,120 --> 00:13:08,520 Speaker 1: Yeah, usually the dentist comes in at the end and 225 00:13:08,559 --> 00:13:12,880 Speaker 1: it's like, looks all right, but the dental hygienist did 226 00:13:12,880 --> 00:13:14,520 Speaker 1: all the other all their work. 227 00:13:14,840 --> 00:13:16,880 Speaker 2: But also that if they're rough and they make your 228 00:13:17,200 --> 00:13:19,959 Speaker 2: gums like swell up and bruise, never. 229 00:13:19,840 --> 00:13:20,520 Speaker 1: Go back again. 230 00:13:20,720 --> 00:13:23,800 Speaker 2: I'll never go back again. They're already scared. I'm already 231 00:13:23,800 --> 00:13:26,560 Speaker 2: scared of you. So those are the numbers. 232 00:13:26,559 --> 00:13:26,760 Speaker 1: Again. 233 00:13:26,880 --> 00:13:30,280 Speaker 2: We talked about the phlebotomist, which I'm I really did 234 00:13:30,320 --> 00:13:33,120 Speaker 2: not think that this was a female dominated career, but 235 00:13:33,160 --> 00:13:35,319 Speaker 2: it apparently has like one of the faster than average 236 00:13:35,360 --> 00:13:38,559 Speaker 2: growth rates, uh in this profession. And yeah, they work 237 00:13:38,559 --> 00:13:42,320 Speaker 2: in the laboratories like like that's some intense work. But 238 00:13:42,360 --> 00:13:45,320 Speaker 2: they also get only like forty the medium pays up 239 00:13:45,360 --> 00:13:48,760 Speaker 2: forty one thousand, which I'm like, they have a lot 240 00:13:48,800 --> 00:13:52,679 Speaker 2: to do. This is really important work. I don't understand. 241 00:13:53,280 --> 00:13:55,880 Speaker 2: But okay, but I did not realize that was one 242 00:13:55,880 --> 00:14:00,640 Speaker 2: of those things that were dominated by you know, women. Yeah, 243 00:14:01,160 --> 00:14:04,040 Speaker 2: now let's talk about the differences in gender. So we 244 00:14:04,080 --> 00:14:06,480 Speaker 2: went to Axios and looked at some of this stuff. 245 00:14:06,600 --> 00:14:08,840 Speaker 2: It says this is the share of US workers and 246 00:14:08,960 --> 00:14:13,600 Speaker 2: select occupation categories by gender. So this was in twenty 247 00:14:13,640 --> 00:14:16,080 Speaker 2: twenty three. This was created in twenty twenty three or 248 00:14:16,120 --> 00:14:19,520 Speaker 2: done based in twenty twenty three, and it was made 249 00:14:19,600 --> 00:14:23,160 Speaker 2: up of people sixteen years and older. So in that 250 00:14:23,200 --> 00:14:28,000 Speaker 2: whole comparison, it is showing that occupations that they categorized 251 00:14:28,120 --> 00:14:33,320 Speaker 2: with health care, personal care, education, office, food preparation, legal life, physical, 252 00:14:33,400 --> 00:14:40,400 Speaker 2: social science, sales, arts, management, farming, fishing, forestry, computer, mathematical, transportation, 253 00:14:40,480 --> 00:14:44,080 Speaker 2: material moving, architecture, and construction. Those are the films that 254 00:14:44,400 --> 00:14:47,280 Speaker 2: we're talking about here. At least of all of those, 255 00:14:47,960 --> 00:14:50,760 Speaker 2: the women held forty seven percent of those positions while 256 00:14:50,800 --> 00:14:53,400 Speaker 2: the men held fifty three percent of the positions. So 257 00:14:53,640 --> 00:14:57,800 Speaker 2: in healthcare support eighty four percent was held by women, 258 00:14:58,160 --> 00:15:01,080 Speaker 2: only sixteen were held by men. When we look at 259 00:15:01,160 --> 00:15:04,440 Speaker 2: food preparation and service, fifty four percent were held by 260 00:15:04,520 --> 00:15:08,480 Speaker 2: women and forty six were held by men. Education, yes, 261 00:15:08,600 --> 00:15:13,000 Speaker 2: seventy three are held by women, twenty seven percent by men. 262 00:15:13,520 --> 00:15:15,960 Speaker 2: And as you keep going down this list, of course 263 00:15:16,080 --> 00:15:19,920 Speaker 2: the number shift and it says in sales, forty nine 264 00:15:19,920 --> 00:15:22,640 Speaker 2: percent are held by women, fifty one percent is held 265 00:15:22,640 --> 00:15:25,640 Speaker 2: by men. In arts and entertainment, forty eight percent are 266 00:15:25,680 --> 00:15:28,760 Speaker 2: held by women, fifty two percent are held by men. 267 00:15:29,000 --> 00:15:33,040 Speaker 2: The farming, fishery, and forestry only twenty seven percent are 268 00:15:33,160 --> 00:15:36,560 Speaker 2: women as where men hold at least seventy three percent 269 00:15:36,560 --> 00:15:42,280 Speaker 2: of those positions, architecture and engineering, seventeen percent are held 270 00:15:42,320 --> 00:15:45,360 Speaker 2: by women while eighty three percent are held by men. 271 00:15:45,720 --> 00:15:48,680 Speaker 2: And then construction and an extraction, which we talked about before, 272 00:15:49,480 --> 00:15:52,440 Speaker 2: four percent are held by women. Ninety six percent are 273 00:15:52,480 --> 00:15:55,440 Speaker 2: held by men. And it says women now make up 274 00:15:55,600 --> 00:15:58,680 Speaker 2: forty seven percent of all workers in the US, compared 275 00:15:58,680 --> 00:16:02,560 Speaker 2: with just thirty percent back in nineteen fifties. It's been 276 00:16:02,600 --> 00:16:05,360 Speaker 2: seven years. I would hope so, but okay, but many 277 00:16:05,400 --> 00:16:08,840 Speaker 2: occupations aren't so evenly split between men and women. And 278 00:16:08,880 --> 00:16:13,160 Speaker 2: this is that conversation. Discrimination that serves to keep women 279 00:16:13,200 --> 00:16:17,479 Speaker 2: and men out of certain occupations of firefighters, hazing female recruits, 280 00:16:18,040 --> 00:16:22,160 Speaker 2: or sexual harassment in dominated workplaces like these are things 281 00:16:22,160 --> 00:16:26,120 Speaker 2: that affect the reasons why this isn't helped by women. 282 00:16:26,360 --> 00:16:29,960 Speaker 2: It says expectations that push women and men into certain roles. 283 00:16:29,960 --> 00:16:33,400 Speaker 2: They specifically talk about that the assumption that men are 284 00:16:33,400 --> 00:16:35,880 Speaker 2: supposed to be better at building stuff, for example, helps 285 00:16:35,880 --> 00:16:37,960 Speaker 2: explain why they make up ninety six percent of the 286 00:16:38,000 --> 00:16:41,200 Speaker 2: construction jobs and eighty four percent of the architects. Women 287 00:16:41,440 --> 00:16:43,640 Speaker 2: are supposed to be better at caring for people, so 288 00:16:43,720 --> 00:16:47,240 Speaker 2: eighty seven percent are of registered nurses or women. And 289 00:16:47,280 --> 00:16:49,880 Speaker 2: then they say, though the care norm changes that you 290 00:16:50,000 --> 00:16:53,200 Speaker 2: go by pay scale, sixty two percent of the physicians, 291 00:16:53,280 --> 00:16:56,640 Speaker 2: one of the highest paying roles, are men. Again, that's 292 00:16:56,680 --> 00:16:59,840 Speaker 2: that conversation we were talking about with the skincare specialists. 293 00:17:00,120 --> 00:17:03,120 Speaker 2: What are we talking about specifically, and who is making 294 00:17:03,160 --> 00:17:07,479 Speaker 2: the most amount of money and who was granted the 295 00:17:07,480 --> 00:17:08,879 Speaker 2: most amount of money? And I thought that was an 296 00:17:08,920 --> 00:17:12,359 Speaker 2: interesting statistic as well, because there's so much conversation that 297 00:17:12,840 --> 00:17:15,400 Speaker 2: still happening in twenty twenty three. 298 00:17:16,400 --> 00:17:18,240 Speaker 1: I mean, it's try twenty four, but I'm assuming I know, 299 00:17:18,280 --> 00:17:23,400 Speaker 1: but this was three yes, Okay, just to clarify, Just. 300 00:17:23,320 --> 00:17:27,680 Speaker 2: To clarify, So Forbes dot com did stats on gender 301 00:17:27,720 --> 00:17:31,000 Speaker 2: pay gap, which they updated in March of twenty twenty four. Again, 302 00:17:31,160 --> 00:17:34,080 Speaker 2: some of this information is from again twenty twenty three, 303 00:17:35,080 --> 00:17:37,280 Speaker 2: and so everything I'm about to say is straight from 304 00:17:37,320 --> 00:17:42,480 Speaker 2: their article. I'm not trying to take credit for these statistics. Okay, 305 00:17:43,240 --> 00:17:47,160 Speaker 2: So they talk about the general gender wage gap statistics, 306 00:17:47,280 --> 00:17:50,159 Speaker 2: women earn sixteen percent less than men on average. We 307 00:17:50,200 --> 00:17:53,399 Speaker 2: know this. Women earned just eighty four cents for every 308 00:17:53,480 --> 00:17:56,680 Speaker 2: dollar a man makes. I feel like that number is 309 00:17:56,720 --> 00:17:58,720 Speaker 2: gone down. This is the last time we talked about it. 310 00:17:59,200 --> 00:18:01,080 Speaker 1: Possibly, I wouldn't be surprised. 311 00:18:02,920 --> 00:18:06,040 Speaker 2: As expected. Women of color are among the lowest paid 312 00:18:06,080 --> 00:18:10,160 Speaker 2: workers in rural areas, with rural Black and Hispanic women 313 00:18:10,240 --> 00:18:13,600 Speaker 2: making just fifty six cents for every dollar that rural 314 00:18:13,920 --> 00:18:19,439 Speaker 2: white non Hispanic men make. Latinas are compensated just fifty 315 00:18:19,520 --> 00:18:22,160 Speaker 2: five percent of what non Hispanic white men are paid. 316 00:18:22,160 --> 00:18:25,760 Speaker 2: In twenty twenty four, Black women are paid sixty four 317 00:18:25,800 --> 00:18:28,680 Speaker 2: percent of what non Hispanic white men are paid. Native 318 00:18:28,720 --> 00:18:31,760 Speaker 2: American women are typically paid only fifty nine cents for 319 00:18:31,880 --> 00:18:34,760 Speaker 2: every dollar paid to white non Hispanic men, and a 320 00:18:34,800 --> 00:18:38,920 Speaker 2: twenty year old woman just starting full time, year round 321 00:18:39,040 --> 00:18:43,879 Speaker 2: work stands to lose four hundred and seven thousand dollars 322 00:18:44,200 --> 00:18:49,000 Speaker 2: over a forty year career compared to her mail counterparts. 323 00:18:49,119 --> 00:18:50,760 Speaker 2: That's almost half a million dollars. 324 00:18:50,880 --> 00:18:54,359 Speaker 1: Yep, that's substantial amounts. 325 00:18:53,920 --> 00:18:58,080 Speaker 2: That's today's house. That's today that's a nice house. 326 00:18:59,000 --> 00:18:59,920 Speaker 1: Depending on your area. 327 00:19:00,160 --> 00:19:03,720 Speaker 2: Yeah, I dare you I'm just saying, so there is 328 00:19:03,760 --> 00:19:07,120 Speaker 2: a conversation about but the controlled and uncontrolled pay gap, 329 00:19:07,119 --> 00:19:09,159 Speaker 2: and this is the difference. There are two types of 330 00:19:09,240 --> 00:19:12,640 Speaker 2: gender pay gaps, the controlled and uncontrolled gap. The controlled 331 00:19:12,680 --> 00:19:14,800 Speaker 2: gap measures the difference in pay between men and women 332 00:19:14,840 --> 00:19:18,560 Speaker 2: performing the same job with the same experience and qualifications. 333 00:19:18,800 --> 00:19:22,359 Speaker 2: The uncontrolled gap represents the overall difference in pay between 334 00:19:22,359 --> 00:19:25,600 Speaker 2: men and women considering all the jobs in industries in 335 00:19:25,600 --> 00:19:29,040 Speaker 2: which they work. So there are different types of gaps 336 00:19:29,040 --> 00:19:32,840 Speaker 2: and measurements that are used for this. I'm just stick 337 00:19:32,840 --> 00:19:35,600 Speaker 2: over this half a million thing. So the controlled gender 338 00:19:35,640 --> 00:19:39,159 Speaker 2: pay gap, which considers factors such as job title, experience, education, industry, 339 00:19:39,240 --> 00:19:42,600 Speaker 2: job level, and hours work, is currently at ninety nine 340 00:19:42,640 --> 00:19:48,159 Speaker 2: cents for every dollar men earn. So it has gotten 341 00:19:48,200 --> 00:19:52,200 Speaker 2: a little better dot dot dot. 342 00:19:54,040 --> 00:19:59,080 Speaker 1: Dot cost of tampons. I don't know, there's other things 343 00:19:59,080 --> 00:19:59,840 Speaker 1: a factor in. 344 00:20:00,280 --> 00:20:04,320 Speaker 2: It is And again though it's who is getting offered what. Yeah, 345 00:20:04,400 --> 00:20:07,000 Speaker 2: that is that conversation. That is that conversation, and even 346 00:20:07,000 --> 00:20:09,280 Speaker 2: that once in difference is still a difference, and especially 347 00:20:09,320 --> 00:20:10,560 Speaker 2: if we're on the same level. 348 00:20:11,000 --> 00:20:14,840 Speaker 1: Yeah, why yeah, And when you talk about things like 349 00:20:14,840 --> 00:20:18,680 Speaker 1: you were saying, the harassment, the burnout all of that stuff. 350 00:20:19,880 --> 00:20:23,280 Speaker 1: It's quite possible. I like a lot of women drop 351 00:20:23,320 --> 00:20:25,480 Speaker 1: out of a career and so they're losing money in 352 00:20:25,520 --> 00:20:28,280 Speaker 1: that way because they have to deal with that and 353 00:20:28,440 --> 00:20:30,760 Speaker 1: maybe get therapy because of it. 354 00:20:31,359 --> 00:20:33,959 Speaker 2: And then some and we're not even talking about Oh, 355 00:20:34,160 --> 00:20:35,679 Speaker 2: I don't want to talk about childcare, but like the 356 00:20:35,720 --> 00:20:39,720 Speaker 2: fact that that cost in itself is you need to 357 00:20:39,760 --> 00:20:42,639 Speaker 2: be making eighty thousand dollars to make even so you 358 00:20:42,720 --> 00:20:43,560 Speaker 2: can't send a child the. 359 00:20:43,560 --> 00:20:48,760 Speaker 1: Daycare, yeah, which is nowhere near as one child what 360 00:20:49,040 --> 00:20:51,240 Speaker 1: most people are men no way in help. 361 00:20:51,400 --> 00:20:53,639 Speaker 2: And this is a conversation from the Institute for Women's 362 00:20:53,640 --> 00:20:56,520 Speaker 2: Policy Research from twenty twenty three. They're talking about the 363 00:20:56,640 --> 00:21:01,400 Speaker 2: largest jobs for women with the worst pay and where 364 00:21:01,400 --> 00:21:04,159 Speaker 2: do they only have five on this list? Again, this 365 00:21:04,280 --> 00:21:07,359 Speaker 2: is that controlled gap. So there's financial managers where women 366 00:21:07,480 --> 00:21:12,040 Speaker 2: only earn seventy one percent of what men earn, retail 367 00:21:12,080 --> 00:21:16,720 Speaker 2: salesperson seventy two percent of what men earn, education and 368 00:21:16,840 --> 00:21:23,080 Speaker 2: childcare administrators seventy nine percent, administrative assistance eighty percent, and 369 00:21:23,240 --> 00:21:26,600 Speaker 2: managers eighty one percent. So these are the people who 370 00:21:26,600 --> 00:21:29,000 Speaker 2: have the same experience, qualifications and have the same job 371 00:21:30,040 --> 00:21:33,159 Speaker 2: are making that type of difference, So that's significant. So 372 00:21:33,200 --> 00:21:35,119 Speaker 2: that ninety nine percent must be for those in that 373 00:21:35,200 --> 00:21:38,960 Speaker 2: corporate is what I'm thinking. Maybe who are higher but 374 00:21:39,280 --> 00:21:42,399 Speaker 2: CEO level I don't know, yeh, like those are That's 375 00:21:42,480 --> 00:21:55,120 Speaker 2: the only compatible bit and just kind of end off. 376 00:21:55,160 --> 00:21:58,800 Speaker 2: I thought these were some interesting facts or research that 377 00:21:58,840 --> 00:22:01,479 Speaker 2: Forbes found that we were going to end on. So 378 00:22:01,520 --> 00:22:04,560 Speaker 2: the gender pay gap for entry level positions is eighteen 379 00:22:04,880 --> 00:22:08,800 Speaker 2: point four percent. The pay disparity is also reflected in 380 00:22:09,040 --> 00:22:12,680 Speaker 2: entry level positions, where research from the National Association of 381 00:22:12,720 --> 00:22:16,280 Speaker 2: College Employers show a gap of eighteen point four percent 382 00:22:16,359 --> 00:22:19,400 Speaker 2: between the average annual salaries earned by women and men, 383 00:22:19,680 --> 00:22:22,760 Speaker 2: with women earning fifty two, two hundred and sixty six 384 00:22:22,840 --> 00:22:27,600 Speaker 2: dollars compared to men's sixty four thy twenty two dollars 385 00:22:27,840 --> 00:22:29,199 Speaker 2: on an entry level position. 386 00:22:29,560 --> 00:22:30,080 Speaker 1: Wow. 387 00:22:30,440 --> 00:22:36,440 Speaker 2: Also, where's this entry level position? I want to I know? Three? Yes? 388 00:22:36,560 --> 00:22:39,560 Speaker 2: Can I also have this? Please? Thank you very much, congratulations, 389 00:22:39,600 --> 00:22:42,400 Speaker 2: I'm proud of you. The why? And then women earn 390 00:22:42,480 --> 00:22:45,679 Speaker 2: more pay than men in only three job roles. There 391 00:22:45,680 --> 00:22:48,160 Speaker 2: are a few areas where women earn higher salaries than 392 00:22:48,200 --> 00:22:51,480 Speaker 2: their male counterparts. Women earn three percent more than men 393 00:22:51,560 --> 00:22:55,919 Speaker 2: as a compliance officers and vocational nurses, and two percent 394 00:22:56,000 --> 00:23:00,080 Speaker 2: more as wholesale and retail buyers. That's interesting that I 395 00:23:00,119 --> 00:23:03,760 Speaker 2: could explain to why so many nurses are women. They 396 00:23:03,760 --> 00:23:09,119 Speaker 2: actually can negotiate better, or actually are compensated better or 397 00:23:09,160 --> 00:23:12,800 Speaker 2: on the equal level as a man. Then there's only 398 00:23:12,960 --> 00:23:16,080 Speaker 2: one job where men and women earn the same pay. 399 00:23:16,920 --> 00:23:20,359 Speaker 2: Despite the previous examples of gender pay disparity in the workforce, 400 00:23:20,480 --> 00:23:23,160 Speaker 2: there's one job where men and women earn equal pay, 401 00:23:23,600 --> 00:23:27,880 Speaker 2: teaching assistance. Both genders earn an average of thirty four, 402 00:23:28,280 --> 00:23:30,800 Speaker 2: four hundred and twenty four dollars per year in this role. 403 00:23:31,560 --> 00:23:34,919 Speaker 2: Educational guidance counselors come in close second, with men earning 404 00:23:34,920 --> 00:23:38,040 Speaker 2: a mirror one hundred and four dollars more on average. 405 00:23:38,200 --> 00:23:40,959 Speaker 2: A mirror, A mirror. Don't worry about it. 406 00:23:41,000 --> 00:23:41,680 Speaker 1: Just amazing. 407 00:23:43,760 --> 00:23:46,680 Speaker 2: I mean, I get that that seems slow on the 408 00:23:46,720 --> 00:23:49,760 Speaker 2: bigger cells role looking at like twenty thousand dollar differences, 409 00:23:49,760 --> 00:23:52,920 Speaker 2: ten thousand dollars differences, but come on, still matters to me. 410 00:23:52,960 --> 00:23:55,040 Speaker 2: I need one hundred dollars. That's a meal. That's a 411 00:23:55,080 --> 00:23:59,240 Speaker 2: good meal. As a couple of takets of gay ass people. 412 00:24:00,520 --> 00:24:03,000 Speaker 2: And then they talk about jobs with the smallest gender 413 00:24:03,119 --> 00:24:07,320 Speaker 2: pay gap. Physical and social science jobs, along with physical therapy, 414 00:24:07,359 --> 00:24:10,160 Speaker 2: are among the professions with the smallest gender pay gap, 415 00:24:10,160 --> 00:24:12,880 Speaker 2: with the women are earning just two percent less than men. 416 00:24:13,520 --> 00:24:17,200 Speaker 2: Just and then jobs with the largest gender pay gap. 417 00:24:17,280 --> 00:24:19,520 Speaker 2: I don't think anybody's gonna be surprised. When it comes 418 00:24:19,560 --> 00:24:22,920 Speaker 2: to earning power. Not all jobs are created equal. According 419 00:24:22,960 --> 00:24:25,919 Speaker 2: to our study, real estate brokers have the largest gender 420 00:24:25,960 --> 00:24:29,400 Speaker 2: pay gap, with men earning sixty percent more than their 421 00:24:29,440 --> 00:24:34,040 Speaker 2: female counterparts. Coming in second place is personal finance advisors, 422 00:24:34,280 --> 00:24:37,439 Speaker 2: where men earn fifty eight percent more than women in 423 00:24:37,520 --> 00:24:45,479 Speaker 2: the same role. That doesn't make sense. No, I wonder though, 424 00:24:45,480 --> 00:24:49,240 Speaker 2: if they charge differently, And so if it's cheaper to 425 00:24:49,240 --> 00:24:51,439 Speaker 2: go to a woman, I'll go to a woman, damn it. 426 00:24:51,480 --> 00:24:52,600 Speaker 2: So I hope she has more clients. 427 00:24:52,840 --> 00:24:55,720 Speaker 1: Yeah, yeah, that could be. Could be. 428 00:24:55,840 --> 00:24:58,199 Speaker 2: And another random part because I didn't even think about this, 429 00:24:58,560 --> 00:25:04,120 Speaker 2: the gender pay gap of retirement. Yeah, which makes sense, 430 00:25:04,160 --> 00:25:07,000 Speaker 2: but that I didn't think about it. The gener pay 431 00:25:07,040 --> 00:25:10,720 Speaker 2: gap can significantly impact a woman's retirement. This is due 432 00:25:10,760 --> 00:25:14,160 Speaker 2: to women's lower earnings and higher share of part time work. 433 00:25:14,600 --> 00:25:19,040 Speaker 2: Women contribute thirty percent less than men to their retirement accounts. 434 00:25:19,320 --> 00:25:23,600 Speaker 2: On average, women receive twenty percent less than men and 435 00:25:23,760 --> 00:25:30,520 Speaker 2: social security benefits that pisss me off. Additionally, women receive 436 00:25:30,640 --> 00:25:34,879 Speaker 2: lower pension benefits than men, further exacerbating the difference in 437 00:25:35,000 --> 00:25:39,200 Speaker 2: retirement savings. Altogether, these factors mean that women have less 438 00:25:39,200 --> 00:25:43,560 Speaker 2: than men in three key areas of retirement, social security, pensions, 439 00:25:43,560 --> 00:25:47,359 Speaker 2: and savings. I swear they're trying to kill us. I 440 00:25:47,359 --> 00:25:49,639 Speaker 2: mean they really just if you're not of use of working, 441 00:25:49,680 --> 00:25:51,879 Speaker 2: you'd need to die. It is what the government seems 442 00:25:51,880 --> 00:25:52,600 Speaker 2: to be telling us. 443 00:25:52,920 --> 00:25:57,960 Speaker 1: I can't have kids. There's society, raise kids, get out. 444 00:25:58,560 --> 00:26:02,200 Speaker 2: Yeah, yeah, so did. I did think that these were 445 00:26:02,200 --> 00:26:04,080 Speaker 2: all interesting fines, as well as the fact that they 446 00:26:04,080 --> 00:26:06,879 Speaker 2: do talk about the gender pay gap by state. So 447 00:26:06,960 --> 00:26:11,159 Speaker 2: obviously we're talking mostly about the US as pretending to us. 448 00:26:11,160 --> 00:26:13,200 Speaker 2: So if you're from different countries, let us know. I'm 449 00:26:13,200 --> 00:26:17,879 Speaker 2: sure you have similar conversations or statistics as well, but 450 00:26:17,920 --> 00:26:20,400 Speaker 2: we would love to hear from you. But it's interesting 451 00:26:20,440 --> 00:26:25,600 Speaker 2: because I did go through and see the rankings of 452 00:26:25,640 --> 00:26:28,800 Speaker 2: the gender pay gap as of twenty twenty four different states, 453 00:26:29,080 --> 00:26:34,000 Speaker 2: and the highest difference started in Wyoming with the fact 454 00:26:34,000 --> 00:26:37,000 Speaker 2: that the male median annual earnings were fifty nine thousand, 455 00:26:37,040 --> 00:26:40,040 Speaker 2: eight hundred and fifty three dollars, while female earnings were 456 00:26:40,040 --> 00:26:43,040 Speaker 2: forty thousand, nine hundred and seventy six dollars, making it 457 00:26:43,080 --> 00:26:46,840 Speaker 2: an eighteen thousand, eight hundred and seventy seven dollars difference, 458 00:26:47,640 --> 00:26:52,520 Speaker 2: which I was like, dang, dang, okay, but the one 459 00:26:52,600 --> 00:26:56,399 Speaker 2: and I think this is less surprising, I guess with 460 00:26:56,600 --> 00:27:00,800 Speaker 2: the smaller difference is Vermont with a male annual earnings 461 00:27:00,800 --> 00:27:03,560 Speaker 2: being fifty five thousand, eight hundred and three while women 462 00:27:03,640 --> 00:27:06,919 Speaker 2: made fifty nine hundred and thirty one, making a three thousand, 463 00:27:06,960 --> 00:27:10,480 Speaker 2: eight hundred and seventy two dollars difference, which is still 464 00:27:10,560 --> 00:27:13,959 Speaker 2: a difference. Yeah, but like the fact that that those 465 00:27:14,000 --> 00:27:16,159 Speaker 2: are the significant numbers, And of course I had to 466 00:27:16,160 --> 00:27:18,240 Speaker 2: look and see, like what about Georgia. We're a number 467 00:27:18,320 --> 00:27:22,720 Speaker 2: forty one with a nine thousand dollars difference, while California 468 00:27:23,280 --> 00:27:26,879 Speaker 2: was forty five. It was pretty close behind us at seven, 469 00:27:27,320 --> 00:27:30,000 Speaker 2: nine hundred and fifty one dollar difference, So I was 470 00:27:30,040 --> 00:27:33,879 Speaker 2: kind of surprised by that that we were that low 471 00:27:35,560 --> 00:27:40,240 Speaker 2: on the chart of the gap. Yeah, I don't know 472 00:27:40,240 --> 00:27:42,400 Speaker 2: if that's just a recession in general, and by the way. 473 00:27:42,480 --> 00:27:44,639 Speaker 2: New Hampshire was number two for the highest gap, with 474 00:27:44,720 --> 00:27:47,840 Speaker 2: a sixteen thousand dollars six hundred and eighty six dollars difference. 475 00:27:48,800 --> 00:27:50,320 Speaker 2: Don't I don't know much about New Hampshire, but I 476 00:27:50,359 --> 00:27:55,120 Speaker 2: thought they would be more close than that. So yeah, 477 00:27:55,160 --> 00:27:58,639 Speaker 2: all this information that we just spoke about with the 478 00:27:59,040 --> 00:28:02,600 Speaker 2: types of gaps and the way your state aligns is 479 00:28:02,600 --> 00:28:05,560 Speaker 2: at Forbes dot com if you want to look it up. 480 00:28:05,960 --> 00:28:13,360 Speaker 2: But it was very interesting in these conversations. Unfortunately, we're 481 00:28:13,400 --> 00:28:16,119 Speaker 2: still having this talk. Yes, as we ted said before, 482 00:28:16,200 --> 00:28:19,160 Speaker 2: women of color, black women, Latino women, as well as 483 00:28:19,320 --> 00:28:24,919 Speaker 2: Native first people's are the highest with the gap, the 484 00:28:24,960 --> 00:28:27,119 Speaker 2: lowest at the gap I guess, and getting paid the 485 00:28:27,200 --> 00:28:32,919 Speaker 2: least and discriminated the most, I guess, which is not 486 00:28:33,040 --> 00:28:36,359 Speaker 2: surprising and still really really irritating. But yeah, that's what 487 00:28:36,400 --> 00:28:39,200 Speaker 2: it looks like currently. I'm sure we'll get some more 488 00:28:39,280 --> 00:28:40,960 Speaker 2: numbers and we'll talk about it again in a year, 489 00:28:41,000 --> 00:28:44,320 Speaker 2: because I think it needs to be revisited often so 490 00:28:44,360 --> 00:28:48,000 Speaker 2: that we talk about why intersectional feminism is important to 491 00:28:48,200 --> 00:28:50,640 Speaker 2: how we get paid and who gets paid and how 492 00:28:50,760 --> 00:28:53,440 Speaker 2: it should be working versus how it's been working. 493 00:28:53,840 --> 00:28:58,040 Speaker 1: Yep, And there's a lot of side quest from a 494 00:28:58,120 --> 00:29:00,680 Speaker 1: topic as big as this one. I was recently researching 495 00:29:01,080 --> 00:29:05,280 Speaker 1: women in layoffs and surprise, surprise, women are more hurt 496 00:29:05,320 --> 00:29:10,200 Speaker 1: by last. So yeah, we'll come back to talk about 497 00:29:10,440 --> 00:29:13,400 Speaker 1: more of all of this. But if you have listeners 498 00:29:13,880 --> 00:29:15,640 Speaker 1: something that you would like us to focus in on, 499 00:29:15,800 --> 00:29:19,800 Speaker 1: if you're part of any of these mini careers that 500 00:29:19,880 --> 00:29:24,080 Speaker 1: we mentioned, please let us know. You can email us 501 00:29:24,080 --> 00:29:26,239 Speaker 1: at Seffania mom Stuff at iHeartMedia dot com. You can 502 00:29:26,240 --> 00:29:27,960 Speaker 1: find us on Twitter at mom Stuff podcast, or on 503 00:29:28,000 --> 00:29:30,320 Speaker 1: Instagram and TikTok at stuff When Never Told You. We're 504 00:29:30,320 --> 00:29:32,200 Speaker 1: also on YouTube. We have a tea public store, and 505 00:29:32,240 --> 00:29:33,800 Speaker 1: we have a book you can get wherever you get 506 00:29:33,840 --> 00:29:36,000 Speaker 1: your books. Thanks as is Always Too a super produced 507 00:29:36,080 --> 00:29:39,560 Speaker 1: Christina executive us to and contributor Joey, thank you and 508 00:29:39,560 --> 00:29:41,720 Speaker 1: thanks to you for listening. Stuff I've Never Told You 509 00:29:41,720 --> 00:29:44,000 Speaker 1: is production of iHeartRadio. For more podcasts from our Heart Radio, 510 00:29:44,080 --> 00:29:46,120 Speaker 1: you can check out the art radio app, Apple Podcasts, 511 00:29:46,200 --> 00:29:55,760 Speaker 1: or wherever you listen to your favorite shows.