The Demographics: A Breakdown of Who Benefits from Our Mission

By Gianna Francesca Vescio

It is important to know before you donate time, money, or support to any non-profit, what tangible impact the organization has on their proposed mission. Below, we have broken down the participants of our most successful program, Money 101, into categories that accurately reflect the communities we reach. Some of these statistics can be applied in tandem to reflect greater trends within the United States, but we have kept it simple for now.

Comparing the charts side-by-side, we can see that the largest audience for our Money 101 workshops are BIPOC or Hispanic/Latinx women with less than a college degree making under $50,000 a year. These are traditionally underserved communities, especially when it comes to financial literacy and independence. Our Money 101 workshops fill the gaps where the usual avenues of education fail, a gap that is essential to uplifting these communities. View the graphs below for a more detailed breakdown of our demographics and remember, every number reflects a human life.

*Please note, our Money 101 workshops are now only open to female-identifying individuals, this was not the case at the time the information was gathered.

25% low-income (<50% HUD 2020 Los Angeles County Area Median Income $77,300)

75% moderate-income (>50%<80% HUD AMI $77,300)

24.2% Employed full-time – 22.6% Full-time student – 16.1% Seeking Opportunities — 14.5% Employed Part-Time – 11.3% Other – 4.8% Not able to work – 4.8% Self-employed — 1.6% Homemaker

Conclusion: 43.5% Employed in some way, 22.6% Full-time student, 33.8% Unemployed or Other

87.1% Female – 9.7% Male – 3.2% Non-binary/Other

40.3% Less than $10,000 – 21.0% $10,000 -24,999 – 12.9% $25,000-34,999 — 11.3% $35,000-49,999 – 9.7% Prefer not to say – 3.2% $50,000-74,999 — 1.6% $75,000 or more

Conclusion: 40.3% Less than $10,000, 45% Between $10,00 - $49,999, 4.8% $50,000+

40.3% Hispanic or Latinx – 17.7% Black or African American – 16.1% Two or More Races — 14.5% White – 3.2% Asian – 3.2% Prefer not to say – 3.2% Other

Conclusion: 80.5% BIPOC or Hispanic/Latinx 14.5% White