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Figure 1. Doing okay or living comfortably financially (by year)

Percent

Year At least okay
2013 62
2014 65
2015 69
2016 70
2017 74
2018 75
2019 75
2020 75
2021 78
2022 73
2023 72
2024 73
2025 73

Note: Among all adults.

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Figure 2. Doing okay or living comfortably financially (by year and education)

Percent

Year Less than a high school degree High school degree or GED Some college/technical or associates degree Bachelor's degree or more
2013 47 55 62 77
2014 42 60 62 77
2015 48 64 66 80
2016 46 64 68 82
2017 56 67 70 85
2018 49 68 73 87
2019 54 65 75 88
2020 45 67 72 89
2021 49 69 75 91
2022 49 62 71 88
2023 48 61 70 87
2024 47 62 70 87
2025 41 64 71 86

Note: Among all adults. Results differ slightly from previous reports because of adjustments to education coding.

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Figure 3. Doing okay or living comfortably financially (by year and race/ethnicity)

Percent

Year White Black Hispanic Asian
2013 65 53 56 75
2014 68 55 55 79
2015 71 61 63 75
2016 72 64 64 79
2017 77 65 66 78
2018 78 66 67 81
2019 79 65 66 85
2020 80 64 64 84
2021 81 68 71 88
2022 77 64 64 84
2023 76 68 61 82
2024 77 65 63 82
2025 79 60 62 82

Note: Among all adults.

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Figure 4. Financial situation compared with 12 months prior (by year)

Percent

Year Worse off Better off
2014 21 29
2015 19 27
2016 17 27
2017 15 33
2018 13 31
2019 14 32
2020 24 25
2021 20 25
2022 35 19
2023 31 20
2024 29 23
2025 28 23

Note: Among all adults.

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Figure 5. Financial challenges or concerns

Percent

Challenge/concern 2024 2025
Price increases    
Minor concern 35 38
Major concern 56 53
Total 91 91
Retirement savings    
Minor concern 39 40
Major concern 33 32
Total 73 72
Making ends meet    
Minor concern 34 36
Major concern 27 27
Total 61 62
Housing costs or availability    
Minor concern 29 30
Major concern 31 30
Total 60 61
Medical debt or affording medical care    
Minor concern 33 34
Major concern 23 24
Total 56 58
Finding or keeping a job    
Minor concern 23 24
Major concern 14 18
Total 37 42

Note: Among all adults. This question was only asked of a randomized half of the sample. “Student loans or education costs” not shown. Key identifies bars in order from top to bottom.

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Figure 6. Assessment of own financial well-being, local economy, and national economy (by year)

Percent

Year Own finances (doing okay or living comfortably) Local economy (good or excellent) National economy (good or excellent)
2017 74 57 41
2018 75 64 51
2019 75 63 50
2020 75 43 26
2021 78 48 24
2022 73 38 18
2023 72 42 22
2024 73 46 29
2025 73 45 26

Note: Among all adults. The estimates for each of the series on the figure represent the two most favorable response choices. The four response options for own finances were "living comfortably," "doing okay," "just getting by," and "finding it difficult to get by." The response options for the local economy and the national economy were "good," "excellent," "fair," and "poor."

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Figure 7. Asking for and receiving a raise

Percent

Action 2018 2019 2020 2021 2022 2023 2024 2025
Asked for a raise 14 18 12 15 21 21 20 17
Received a raise 44 49 36 48 54 55 52 50

Note: Among all workers.

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Figure 8. New jobs and separations (by year)

Percent

New jobs and separations 2017 2018 2019 2020 2021 2022 2023 2024 2025
Laid-off 4 3 3 14 7 5 6 6 7
Left a job voluntarily 7 8 9 7 9 11 9 9 8
Started a new job 12 13 13 12 13 15 14 14 13
Applied for a new job 21 21 22 21 20 23 22 23 23

Note: Among all adults. Layoffs from 2019 and earlier are not directly comparable with those from 2020 and after because of a change in the question format in 2020.

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Figure 9. Share of job changes with improved characteristics (by year)

Percent

Characteristic 2021 2022 2023 2024 2025
Pay or benefits 56 63 57 52 53
Opportunities for advancement 48 51 46 39 44
Interest in the work 53 55 53 47 47
Work-life balance 43 43 43 38 41
Overall 66 72 67 62 60

Note: Among adults who started a new job and had a different main job than a year ago.

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Figure 10. Amount of work done from home (by education)

Percent

Education Some All Total
2024      
High school degree or less 10 9 19
Some college/technical or associate degree 16 15 31
Bachelor's degree or more 34 26 60
2025      
High school degree or less 11 10 21
Some college/technical or associate degree 19 13 32
Bachelor's degree or more 31 23 55

Note: Among workers. The key identifies bars in order from top to bottom.

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Figure 11. Perceptions of generative AI

Percent

Perception AI users All workers
Worried will replace job 22 20
Will improve career 48 20
Employer encourages 51 19
Enables new tasks 55 28
Improves quality 52 24
Saves time 81 44

Note: Among workers. Bars give the share of all workers and of workers who used AI who agreed with a statement summarized by the title. The other possible responses are "disagree" and "neither agree nor disagree." Key identifies bars in order from top to bottom.

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Figure 12. Reasons for retiring
Reason Percent
Forced to retire or lack of available work 11
Didn't like the work 15
Care for family members 17
Health problem 28
Reached normal retirement age 41
Wanted to do other things or spend time with family 54

Note: Among retirees. Respondents could select multiple answers.

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Figure 13. Median childcare and housing payments (by hours of childcare used)

Dollars

Hours used Median housing payment Median childcare payment
20 or more hours per week 2,000 1,517
Any paid childcare 1,900 1,083
Note: Among adults with a positive value of the expense who pay for the specified amount of childcare. Housing costs are total monthly mortgage payments for homeowners and total monthly rents for renters. Weekly childcare costs are multiplied by 52/12 to obtain a monthly figure. Key identifies bars in order from top to bottom.    
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Figure 14. Forms of childcare used (by family type and employment status)

Percent

Characteristic Unpaid childcare Paid childcare
Two parents, one working 37 11
Two parents, both working 46 36
Single parent, working 58 30

Note: Among adults living with their own children under age 13. Key identifies bars in order from top to bottom.

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Figure 15. Relationship to those you provide unpaid care for because of aging, disability, or illness
Relationship Percent
Friend or neighbor 20
Another relative 28
An adult child 15
Spouse or partner 15
Parent, or spouse's or partner's parent 60

Note: Among adults who provided unpaid care for an adult because of aging, disability, or illness.

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Figure 16. Frequency of unpaid care (by recipient)

Percent

Relationship Daily Several days per week Several days per month Once a month or less
Friend or neighbor 17 37 34 12
Another relative 22 31 32 15
An adult child 40 28 21 11
Spouse or partner 57 21 13 8
Parent, or spouse's or partner's parent 32 30 29 10

Note: Among adults who provided unpaid care for an adult because of aging, disability, or illness. Key identifies bars in order from left to right.

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Figure 17. Varying income and related hardship (by family income)

Percent

Income Varying income, causes hardship Varying income, no hardship Total
Less than $25,000 23 23 46
$25,000–$49,999 19 16 36
$50,000–$99,999 10 18 28
$100,000 or more 3 18 21
Overall 11 19 30

Note: Among all adults. Key identifies bars in order from left to right.

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Figure 18. Share with increases and decreases in monthly income and spending from 12 months earlier (by year)

Percent

Characteristic 2020 2021 2022 2023 2024 2025
Total monthly income - Compared            
Decreased 19 13 13 13 13 13
Increased 24 30 33 34 32 32
Total monthly spending - Compare            
Decreased 22 12 10 9 10 11
Increased 20 25 40 38 37 35
Total monthly income - Compared            
Decreased 19 13 13 13 13 13
Increased 24 30 33 34 32 32
Total monthly spending - Compare            
Decreased 22 12 10 9 10 11
Increased 20 25 40 38 37 35

Note: Among all adults. Respondents could also say that their monthly income and spending were about the same as 12 months earlier (not shown). Key identifies bars in order from left to right.

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Figure 19. Changes in prices paid compared with last year made financial situation worse (by year)

Percent

Characteristic 2023 2024 2025
Much worse 19 17 14
Somewhat worse 45 43 44
Somewhat/much worse 65 60 58

Note: Among all adults. Key identifies bars in order from bottom to top.

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Figure 20. How often have money left over at end of month (by year)

Percent

Frequency 2017 2020 2024 2025
Always 23 25 23 22
Often 19 21 19 19
Sometimes 29 27 28 28
Rarely 19 17 18 18
Never 9 10 12 12

Note: Among all adults. Question was not asked in 2018–19 or 2021–23. Key identifies bars in order from left to right.

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Figure 21. Actions taken by people who struggled to pay bills in the prior month (by largest emergency expense could handle right now using only savings)

Percent

Action Less than $500 $500 or more
Manage cash flow 55 67
Adjust timing of bill payments 55 32
Borrow or sell something 54 38
Other 11 12

Note: Among adults who did not pay all non-credit card bills or who had difficulty paying bills in the prior month. Respondents could select multiple answers. As discussed in the "Savings and Investments" section, this new version of the question about the amount of savings was asked of a randomized half sample. Key identifies bars in order from left to right.

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Figure 22. Skipped medical treatment because of cost (by year)
Year Percent
2013 32
2014 31
2015 27
2016 25
2017 27
2018 24
2019 25
2020 23
2021 24
2022 28
2023 27
2024 28
2025 26

Note: Among all adults.

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Figure 23. Amount paid for major unexpected expenses in the prior 12 months (by type of expense)

Percent

Expense $1 to $499 $500 to $999 $1,000 to $1,999 $2,000 to $4,999 $5,000 or higher
A major vehicle repair or replacement 12 23 24 21 21
A major house or appliance repair 9 21 23 20 27
Unexpected major medical expense 17 22 21 24 16
A mobile phone or computer repair or replacement 39 31 24 5 1
Legal expenses, taxes, or fines 15 14 17 22 32
Other unexpected expenses 16 15 22 18 30
Increases in childcare or dependent expenses 27 23 22 12 16

Note: Among adults who had that type of major unexpected expense in the prior 12 months and who reported the amount. Key identifies bars in order from left to right.

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Figure 24. Would cover a $400 emergency expense completely using cash or its equivalent (by year)
Year Percent
2013 50
2014 53
2015 54
2016 56
2017 59
2018 61
2019 63
2020 64
2021 68
2022 63
2023 63
2024 63
2025 63

Note: Among all adults.

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Figure 25. Have savings to cover three months of expenses (by how often have money left over at end of the month)
Yes Percent
Never have money left over 13
Rarely have money left over 26
Sometimes have money left over 52
Often have money left over 75
Always have money left over 86

Note: Among all adults.

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Figure 26. View retirement savings plan as on track (by year)
Year Percent
2017 38
2018 36
2019 37
2020 36
2021 40
2022 31
2023 34
2024 35
2025 35

Note: Among non-retirees.

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Figure 27. Unbanked rate (by year)

Percent

Year Unbanked rate
2015 8
2016 7
2017 5
2018 6
2019 6
2020 5
2021 6
2022 6
2023 6
2024 6
2025 6

Note: Among all adults.

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Figure 28. Use of nonbank check cashing or money orders (by bank account ownership)

Percent

Year Unbanked Banked
2019 47 15
2020 40 12
2021 35 12
2022 31 12
2023 33 12
2024 32 11
2025 28 11

Note: Among all adults.

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Figure 29. Type of financial fraud

Percent

Type 2024 2025
Any financial fraud 21 20
Credit card fraud 17 16
Other type of financial fraud 8 8

Note: Among all adults. Key identifies bars in order from left to right.

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Figure 30. Credit outcomes and perceptions (by year)

Percent

Category 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Very confident credit card application would be approved 53 59 60 60 62 61 65 63 63 62 61
Applied for any type of credit 39 40 39 35 41 37 38 35 36 34 33
Denied credit or offered less (among those who applied) 33 31 32 31 31 31 28 30 32 33 33

Note: Among all adults.

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Figure 31. Denied credit or approved for less than was requested (by year and race/ethnicity)

Percent

Year White Black Hispanic
2015 26 53 48
2016 24 56 47
2017 24 53 45
2018 24 55 45
2019 24 57 40
2020 24 51 46
2021 22 46 37
2022 24 48 39
2023 27 48 42
2024 26 51 44
2025 25 54 46

Note: Among adults who applied for credit.

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Figure 32. Credit card ownership and usage (by year)

Percent

Year Carried a balance (among credit card holders) Has a credit card
2015 57 77
2016 54 79
2017 54 83
2018 53 81
2019 52 83
2020 49 83
2021 48 84
2022 48 82
2023 47 82
2024 46 81
2025 45 82

Note: Among all adults. "Carried a balance" reflects the share who carried a balance at least once in the past year.

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Figure 33. Use of Buy Now, Pay Later (BNPL)

Percent

Year Used BNPL Paid late (among users)
2021 10 15
2022 12 17
2023 14 18
2024 15 24
2025 16 26

Note: Among all adults.

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Figure 34. Types of purchases made using Buy Now, Pay Later (BNPL)
Type Percent
Clothing or accessories 49
Electronics 32
Furniture or appliances 26
Groceries or food delivery 20
Travel expenses 19
Medical or veterinary procedures 8
Other 16

Note: Among adults who have used BNPL in the past year.

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Figure 35. Reasons for experiencing repayment difficulty
Reason Percent
Affordability reason  
My income was less than my expenses 48
I had unexpected expenses 36
I had an unexpected drop in income 20
Non-affordability  
I didn’t want to make payments 16
Did not know payments were necessary or how to make them 11
Other 12

Note: Among student loan borrowers experiencing repayment difficulty. Key identifies bars in order from top to bottom.

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Figure 36. Behind on rent at some point in past year
Year Percent
2021 17
2022 17
2023 19
2024 21
2025 23

Note: Among renters.

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Figure 37. Share with no homeowners insurance on primary residence (by census division)
Census division Percent
New England 3
Mid-Atlantic 4
South Atlantic 7
East-North Central 6
East-South Central 11
West-North Central 6
West-South Central 11
Mountain 4
Pacific 6

Note: Among all homeowners.

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Last Update: May 18, 2026