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Progressive Pockets: a podcast about the untapped power of our wallets to build the world we want
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178. Are you middle class? What do the numbers actually say? Why does this matter?
Manage episode 485381812 series 2952528
Ever notice how almost everyone in America calls themselves “middle class”? But what does that really mean? Do you see yourself that way? Let’s talk about the technical definition and the messier, lived experience of being middle class today—and why getting clear on this matters if we want to build communities that truly understand and support one another.
Links from today’s episode:
Are you in the American middle class? Find out with our income calculator | Pew Research Center | September 2024
https://www.pewresearch.org/short-reads/2024/09/16/are-you-in-the-american-middle-class/
ICYMI another episode you might enjoy:
Episode#134 Five ways to be a financial ally at work
Love the book recos on this show? Check out the Progressive Pockets Bookshelf:
https://bookshop.org/shop/progressivepockets
As an affiliate of Bookshop.org, Progressive Pockets will earn a commission if you make a purchase.
Connect With Genet “GG” Gimja:
Website https://www.progressivepockets.com
Twitter https://twitter.com/prgrssvpckts
Work With Me:
Email [email protected] for brand partnerships, business inquiries, and speaking engagements.
Easy Ways to Support the Show
1. Send this episode to someone you know! Word of mouth is how podcasts grow!
2. Buy me a coffee (or a soundproof panel!) https://buymeacoffee.com/progressivepockets
3. Leave a 5 star rating and review for the show!
//NO AI TRAINING: Any use of this podcast episode transcript or associated show notes or blog posts to “train” generative artificial intelligence (AI) technologies to generate text is expressly prohibited. This includes, without limitation, technologies that are capable of generating works in the same style or genre as this content. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models//
187 episodes
178. Are you middle class? What do the numbers actually say? Why does this matter?
Progressive Pockets: a podcast about the untapped power of our wallets to build the world we want
Manage episode 485381812 series 2952528
Ever notice how almost everyone in America calls themselves “middle class”? But what does that really mean? Do you see yourself that way? Let’s talk about the technical definition and the messier, lived experience of being middle class today—and why getting clear on this matters if we want to build communities that truly understand and support one another.
Links from today’s episode:
Are you in the American middle class? Find out with our income calculator | Pew Research Center | September 2024
https://www.pewresearch.org/short-reads/2024/09/16/are-you-in-the-american-middle-class/
ICYMI another episode you might enjoy:
Episode#134 Five ways to be a financial ally at work
Love the book recos on this show? Check out the Progressive Pockets Bookshelf:
https://bookshop.org/shop/progressivepockets
As an affiliate of Bookshop.org, Progressive Pockets will earn a commission if you make a purchase.
Connect With Genet “GG” Gimja:
Website https://www.progressivepockets.com
Twitter https://twitter.com/prgrssvpckts
Work With Me:
Email [email protected] for brand partnerships, business inquiries, and speaking engagements.
Easy Ways to Support the Show
1. Send this episode to someone you know! Word of mouth is how podcasts grow!
2. Buy me a coffee (or a soundproof panel!) https://buymeacoffee.com/progressivepockets
3. Leave a 5 star rating and review for the show!
//NO AI TRAINING: Any use of this podcast episode transcript or associated show notes or blog posts to “train” generative artificial intelligence (AI) technologies to generate text is expressly prohibited. This includes, without limitation, technologies that are capable of generating works in the same style or genre as this content. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models//
187 episodes
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