Send us a textIn this episode, let’s chat about charitable giving among Latino Americans, including formal and informal giving, the surprising role of religious giving, and the huge impact of remittances (sending money back to one’s country of origin) from this community. Let’s also talk about cultural differences in how Latine Americans might discuss (or choose not to discuss!) their charitable giving.If you are a Latine American listener of this show, tune in for some ideas on how to join forces with other givers within your community. ¡Adelante!Links from today’s episode:The Latino Community Foundationhttps://latinocf.org/latino-giving-circle-network/ Hispanics in Philanthropyhttps://hipfunds.org/ Latinx Philanthropy: Understanding Generosity Trends Across Latinx Communities in the U.S. | 2023https://hipfunds.org/latinx-generosity-report/ The World's Top Remittance Recipients | Statista June 2023https://www.statista.com/chart/20166/top-10-remittance-receiving-countries/ ICYMI another episode you might enjoy:Episode#115 Where do Muslim Americans donate their money? Title (recorded before the 2024 rebranding of this show)Connect With Genet “GG” Gimja:Website https://www.progressivepockets.comTwitter https://twitter.com/prgrssvpckts Work With Me:Email progressivepockets@gmail.com for brand partnerships, business inquiries, and speaking engagements.Easy Ways to Support the Show1. 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//Support the show