10k-30k in student loans for-profit recruiters at school laid off citizenship struggles took risky loan (for house) struggled to find housing have housing debt would buy home if higher wages over 30k in student loans dipped into future savings faced foreclosure or eviction job moved overseas took risk loan (for college) worked in seasonal tourism historical racism lost net worth damaged credit rating worked gig jobs big loan for public college used to be union military enlistment for education Minimum Wage as an adult would buy home if less debt lost business 10k-30k in student loans for-profit recruiters at school laid off citizenship struggles took risky loan (for house) struggled to find housing have housing debt would buy home if higher wages over 30k in student loans dipped into future savings faced foreclosure or eviction job moved overseas took risk loan (for college) worked in seasonal tourism historical racism lost net worth damaged credit rating worked gig jobs big loan for public college used to be union military enlistment for education Minimum Wage as an adult would buy home if less debt lost business
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
10k-30k in student loans
for-profit recruiters at school
laid off
citizenship struggles
took risky loan (for house)
struggled to find housing
have housing debt
would buy home if higher wages
over 30k in student loans
dipped into future savings
faced foreclosure or eviction
job moved overseas
took risk loan (for college)
worked in seasonal tourism
historical racism
lost net worth
damaged credit rating
worked gig jobs
big loan for public college
used to be union
military enlistment for education
Minimum Wage as an adult
would buy home if less debt
lost business