The State of the 2026 Economy: Why It Feels Worse Than the Data

Executive summary

In early 2026, the U.S. economy can look good on paper and still feel bad for a large share of households. That disconnect is not mass delusion. It is a combination of measurement and distribution. Headline indicators average everything together. Households live in the distribution, and they experience the economy through the level of their monthly bills, not the rate of change in macro aggregates.

The core claim is that 2026 is an affordability economy. Housing, food, health care, and childcare behave like semi-fixed costs for many families. If those costs stay high, modest improvements in inflation or job growth do not translate into relief. Tariffs matter here too. Whatever the strategic argument, tariffs function like a tax on imports that tends to show up as higher prices and higher input costs. The useful question is not whether tariffs have costs. The useful question is who pays them and where they land. The result is a familiar pattern in American economics and politics. Aggregate stability can coexist with household fragility.

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The theme of 2026: stability at the top, stress in the middle

A lot of commentary treats “the economy” like a single number. In real life, there are at least three economies that matter at once. There is the economy of national aggregates like GDP, unemployment, and inflation. There is the economy of household budgets, where rent, groceries, insurance, and childcare dominate attention. There is also the economy of balance sheets, where assets, debt, and buffers determine whether a family can absorb a surprise.

In early 2026, those views do not line up neatly. GDP can grow while bills stay high. Unemployment can stay low while job quality and job security remain uneven. Inflation can cool while the price level remains elevated. That creates a predictable gap between the story people hear and the story they live.

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I. The data vs. the experience

The “data says good, life says bad” dynamic becomes easier to understand once you separate two ideas that are routinely mixed up. Inflation is a rate. Affordability is a level problem. If inflation cools from 6% to 3%, prices are still rising. They are simply rising more slowly. A household does not feel disinflation. A household feels a rent renewal, a grocery run, and a health plan deductible.

This is why the macro story and the lived story can both be true at once. The economy can be growing, unemployment can be low, and inflation can be cooler than its peak. At the same time, the median household can feel squeezed, the middle can be one shock away from debt, and a large share of earnings can go to the same categories every month. The disconnect is not a paradox. It is arithmetic.

All itemsFood at home

• Months with no published figure

Data table

date	All items	Food at home
2000-01-01	2.79	1.16
2000-02-01	3.22	1.4
2000-03-01	3.76	1.84
2000-04-01	3.01	1.83
2000-05-01	3.13	2.07
2000-06-01	3.73	2.2
2000-07-01	3.6	2.81
2000-08-01	3.35	2.99
2000-09-01	3.46	2.67
2000-10-01	3.45	2.36
2000-11-01	3.44	2.3
2000-12-01	3.44	2.84
2001-01-01	3.72	3.09
2001-02-01	3.53	3.31
2001-03-01	2.98	3.43
2001-04-01	3.22	3.54
2001-05-01	3.56	3.23
2001-06-01	3.19	3.58
2001-07-01	2.72	3.26
2001-08-01	2.72	3.2
2001-09-01	2.59	3.13
2001-10-01	2.13	3.61
2001-11-01	1.89	3.49
2001-12-01	1.6	2.64
2002-01-01	1.2	2.93
2002-02-01	1.14	2.39
2002-03-01	1.36	2.38
2002-04-01	1.64	2.43
2002-05-01	1.24	1.56
2002-06-01	1.07	0.98
2002-07-01	1.47	0.75
2002-08-01	1.75	0.4
2002-09-01	1.52	0.57
2002-10-01	2.03	-0.06
2002-11-01	2.25	0.34
2002-12-01	2.48	0.69
2003-01-01	2.76	0.34
2003-02-01	3.15	0.85
2003-03-01	3.03	0.74
2003-04-01	2.18	0.51
2003-05-01	1.89	1.37
2003-06-01	1.95	2.28
2003-07-01	2.06	2.11
2003-08-01	2.22	2.8
2003-09-01	2.38	2.91
2003-10-01	2.04	3.66
2003-11-01	1.93	3.98
2003-12-01	2.04	4.55
2004-01-01	2.03	4.15
2004-02-01	1.69	3.67
2004-03-01	1.74	3.72
2004-04-01	2.29	3.77
2004-05-01	2.9	4.89
2004-06-01	3.17	4.35
2004-07-01	2.94	4.58
2004-08-01	2.55	3.89
2004-09-01	2.54	3.27
2004-10-01	3.19	3.47
2004-11-01	3.62	3.23
2004-12-01	3.34	2.45
2005-01-01	2.84	2.62
2005-02-01	3.05	2.18
2005-03-01	3.21	2.17
2005-04-01	3.36	3.09
2005-05-01	2.87	1.93
2005-06-01	2.54	1.39
2005-07-01	3.07	1.5
2005-08-01	3.65	1.5
2005-09-01	4.74	2.04
2005-10-01	4.35	1.55
2005-11-01	3.34	1.48
2005-12-01	3.34	1.75
2006-01-01	4.02	2.34
2006-02-01	3.64	2.4
2006-03-01	3.42	2.23
2006-04-01	3.61	0.95
2006-05-01	3.98	0.84
2006-06-01	4.18	1.48
2006-07-01	4.1	1.47
2006-08-01	3.93	1.9
2006-09-01	2.01	2.16
2006-10-01	1.41	2.2
2006-11-01	1.97	1.67
2006-12-01	2.52	1.41
2007-01-01	2.08	1.78
2007-02-01	2.42	2.88
2007-03-01	2.8	3.39
2007-04-01	2.59	3.88
2007-05-01	2.71	4.4
2007-06-01	2.69	4.55
2007-07-01	2.32	4.56
2007-08-01	1.9	4.62
2007-09-01	2.83	4.63
2007-10-01	3.61	4.76
2007-11-01	4.37	5.41
2007-12-01	4.11	5.71
2008-01-01	4.29	5.71
2008-02-01	4.14	5.12
2008-03-01	3.97	4.67
2008-04-01	3.9	5.85
2008-05-01	4.09	5.77
2008-06-01	4.94	6.06
2008-07-01	5.5	7.16
2008-08-01	5.31	7.47
2008-09-01	4.95	7.6
2008-10-01	3.73	7.57
2008-11-01	1.1	7.09
2008-12-01	-0.02	6.65
2009-01-01	-0.11	5.72
2009-02-01	0.01	4.85
2009-03-01	-0.45	4.26
2009-04-01	-0.58	2.33
2009-05-01	-1.02	1.54
2009-06-01	-1.23	0.76
2009-07-01	-1.96	-0.92
2009-08-01	-1.48	-1.69
2009-09-01	-1.38	-2.5
2009-10-01	-0.22	-2.76
2009-11-01	1.91	-2.86
2009-12-01	2.81	-2.43
2010-01-01	2.62	-1.93
2010-02-01	2.15	-1.47
2010-03-01	2.29	-0.64
2010-04-01	2.21	-0.04
2010-05-01	2.0	0.3
2010-06-01	1.12	0.24
2010-07-01	1.34	0.66
2010-08-01	1.15	0.74
2010-09-01	1.12	1.34
2010-10-01	1.17	1.43
2010-11-01	1.08	1.74
2010-12-01	1.44	1.67
2011-01-01	1.7	2.1
2011-02-01	2.12	2.8
2011-03-01	2.62	3.55
2011-04-01	3.08	3.88
2011-05-01	3.46	4.44
2011-06-01	3.5	4.82
2011-07-01	3.58	5.44
2011-08-01	3.75	6.1
2011-09-01	3.81	6.37
2011-10-01	3.52	6.22
2011-11-01	3.45	5.92
2011-12-01	3.06	5.98
2012-01-01	3.01	5.33
2012-02-01	2.9	4.48
2012-03-01	2.58	3.52
2012-04-01	2.27	3.26
2012-05-01	1.74	2.67
2012-06-01	1.65	2.59
2012-07-01	1.42	1.97
2012-08-01	1.69	1.47
2012-09-01	1.95	0.81
2012-10-01	2.16	1.05
2012-11-01	1.8	1.28
2012-12-01	1.76	1.28
2013-01-01	1.68	1.19
2013-02-01	2.02	1.26
2013-03-01	1.52	1.09
2013-04-01	1.14	1.03
2013-05-01	1.39	0.81
2013-06-01	1.72	0.9
2013-07-01	1.89	0.96
2013-08-01	1.54	0.96
2013-09-01	1.09	0.97
2013-10-01	0.88	0.78
2013-11-01	1.23	0.54
2013-12-01	1.51	0.4
2014-01-01	1.56	0.44
2014-02-01	1.12	0.97
2014-03-01	1.61	1.49
2014-04-01	2.02	1.78
2014-05-01	2.17	2.76
2014-06-01	2.06	2.51
2014-07-01	1.97	2.68
2014-08-01	1.72	2.83
2014-09-01	1.68	3.11
2014-10-01	1.61	3.16
2014-11-01	1.23	3.32
2014-12-01	0.65	3.66
2015-01-01	-0.23	3.34
2015-02-01	-0.09	2.89
2015-03-01	-0.02	1.93
2015-04-01	-0.1	1.33
2015-05-01	0.04	0.62
2015-06-01	0.18	0.93
2015-07-01	0.23	0.87
2015-08-01	0.24	0.9
2015-09-01	0.01	0.77
2015-10-01	0.13	0.69
2015-11-01	0.44	0.29
2015-12-01	0.64	-0.42
2016-01-01	1.24	-0.41
2016-02-01	0.85	-0.35
2016-03-01	0.89	-0.5
2016-04-01	1.17	-0.32
2016-05-01	1.08	-0.73
2016-06-01	1.08	-1.31
2016-07-01	0.87	-1.6
2016-08-01	1.06	-1.95
2016-09-01	1.55	-2.19
2016-10-01	1.69	-2.29
2016-11-01	1.68	-2.13
2016-12-01	2.05	-1.96
2017-01-01	2.51	-1.86
2017-02-01	2.81	-1.62
2017-03-01	2.44	-0.84
2017-04-01	2.18	-0.74
2017-05-01	1.86	-0.19
2017-06-01	1.64	-0.11
2017-07-01	1.73	0.22
2017-08-01	1.93	0.28
2017-09-01	2.18	0.41
2017-10-01	2.02	0.55
2017-11-01	2.17	0.63
2017-12-01	2.13	0.94
2018-01-01	2.15	1.17
2018-02-01	2.26	0.57
2018-03-01	2.33	0.32
2018-04-01	2.47	0.41
2018-05-01	2.78	-0.0
2018-06-01	2.81	0.23
2018-07-01	2.85	0.28
2018-08-01	2.64	0.41
2018-09-01	2.33	0.47
2018-10-01	2.49	0.23
2018-11-01	2.15	0.54
2018-12-01	2.0	0.74
2019-01-01	1.49	0.72
2019-02-01	1.52	1.22
2019-03-01	1.88	1.39
2019-04-01	2.0	0.7
2019-05-01	1.8	1.15
2019-06-01	1.67	0.91
2019-07-01	1.83	0.59
2019-08-01	1.74	0.48
2019-09-01	1.68	0.6
2019-10-01	1.73	1.02
2019-11-01	2.09	1.04
2019-12-01	2.32	0.73
2020-01-01	2.6	0.8
2020-02-01	2.34	0.86
2020-03-01	1.49	1.05
2020-04-01	0.31	4.08
2020-05-01	0.2	4.8
2020-06-01	0.72	5.58
2020-07-01	1.0	4.57
2020-08-01	1.28	4.65
2020-09-01	1.39	4.04
2020-10-01	1.23	3.98
2020-11-01	1.18	3.56
2020-12-01	1.32	3.97
2021-01-01	1.37	3.71
2021-02-01	1.67	3.53
2021-03-01	2.67	3.23
2021-04-01	4.13	1.22
2021-05-01	4.92	0.72
2021-06-01	5.3	0.94
2021-07-01	5.25	2.57
2021-08-01	5.15	2.96
2021-09-01	5.35	4.5
2021-10-01	6.24	5.34
2021-11-01	6.9	6.41
2021-12-01	7.17	6.51
2022-01-01	7.56	7.38
2022-02-01	7.94	8.66
2022-03-01	8.57	10.04
2022-04-01	8.23	10.81
2022-05-01	8.54	11.95
2022-06-01	8.98	12.26
2022-07-01	8.46	13.14
2022-08-01	8.22	13.59
2022-09-01	8.19	12.93
2022-10-01	7.76	12.4
2022-11-01	7.12	11.95
2022-12-01	6.4	11.74
2023-01-01	6.33	11.25
2023-02-01	5.96	10.09
2023-03-01	4.92	8.31
2023-04-01	4.95	7.18
2023-05-01	4.13	5.84
2023-06-01	3.07	4.67
2023-07-01	3.29	3.6
2023-08-01	3.72	2.97
2023-09-01	3.69	2.38
2023-10-01	3.25	2.15
2023-11-01	3.13	1.63
2023-12-01	3.32	1.31
2024-01-01	3.09	1.16
2024-02-01	3.16	0.99
2024-03-01	3.49	1.18
2024-04-01	3.36	1.17
2024-05-01	3.24	1.07
2024-06-01	2.97	1.17
2024-07-01	2.94	1.09
2024-08-01	2.61	0.91
2024-09-01	2.43	1.26
2024-10-01	2.58	1.15
2024-11-01	2.72	1.56
2024-12-01	2.87	1.73
2025-01-01	2.99	1.84
2025-02-01	2.8	1.81
2025-03-01	2.38	2.34
2025-04-01	2.33	1.99
2025-05-01	2.38	2.25
2025-06-01	2.68	2.42
2025-07-01	2.74	2.2
2025-08-01	2.94	2.69
2025-09-01	3.02	2.7
2025-10-01	not published	not published
2025-11-01	2.7	1.91
2025-12-01	2.65	2.33
2026-01-01	2.39	2.18
2026-02-01	2.43	2.58
2026-03-01	3.29	2.02
2026-04-01	3.78	2.95
2026-05-01	4.17	2.73
2026-06-01	3.46	2.7
2026-07-01	3.3	2.61
2026-08-01	3.35	2.13
2026-09-01	3.72	1.77

Source: Federal Reserve Bank of St. Louis, FRED. CPIAUCSL, CPILFESL, CUSR0000SAF11 · retrieved Oct. 19, 2026 · 320 rows · as of September 2026 · monthly. Download CSV

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II. The affordability crisis (the big four)

Affordability is not one thing. It is the cumulative effect of a few large categories that behave like fixed costs for most households. These costs are hard to shop around, hard to delay, and hard to avoid without real lifestyle changes. That is why households can feel stuck even when the macro data improves.

A. Housing: the payment is the economy

Housing is the single biggest driver of the modern affordability story because it is a payment, not a price. For homeowners, what matters is not the sticker price of a home. What matters is the monthly mortgage payment. That payment is the product of home prices, interest rates, and the ongoing add-ons that rarely make it into political talking points, including taxes and insurance.

When rates are materially higher than the 2020 to 2021 era, a “normal” house can translate into a radically different payment.[10] Even a period of flat home prices can still feel brutal if the interest-rate component makes the payment unreachable. Affordability improves only when the full system relaxes. Prices need to stop racing ahead of incomes, supply needs to expand in high-demand areas, and financing costs need to stop doing the heavy lifting.

For renters, the mechanism is different but the pressure is similar. If rents rise faster than wage growth, households lose buffer. When the rent renewal arrives, it effectively becomes the economy.

B. Groceries: disinflation does not refill the cart

Food inflation is a classic example of why rate-based narratives frustrate people. If food prices jumped substantially since 2020 and then the rate of increase slows, households do not get a refund. They are left with a new, higher price level embedded in the weekly routine.

This is also why “my wages are up” can coexist with “I feel poorer.” If wages rose 10 to 15% but food rose more, the day-to-day category people see most often delivers the emotional conclusion. It becomes easy to believe that the economy is broken even if the macro trend is improving.

Average hourly earningsConsumer prices

• Months with no published figure

Data table

date	Average hourly earnings	Consumer prices
2008-01-01	2.91	4.29
2008-02-01	2.85	4.14
2008-03-01	3.09	3.97
2008-04-01	2.84	3.9
2008-05-01	3.02	4.09
2008-06-01	2.72	4.94
2008-07-01	3.15	5.5
2008-08-01	3.33	5.31
2008-09-01	3.28	4.95
2008-10-01	3.32	3.73
2008-11-01	3.5	1.1
2008-12-01	3.73	-0.02
2009-01-01	3.63	-0.11
2009-02-01	3.34	0.01
2009-03-01	3.23	-0.45
2009-04-01	3.37	-0.58
2009-05-01	3.03	-1.02
2009-06-01	2.88	-1.23
2009-07-01	2.69	-1.96
2009-08-01	2.44	-1.48
2009-09-01	2.49	-1.38
2009-10-01	2.53	-0.22
2009-11-01	2.2	1.91
2009-12-01	1.91	2.81
2010-01-01	2.0	2.62
2010-02-01	2.18	2.15
2010-03-01	1.86	2.29
2010-04-01	1.76	2.21
2010-05-01	1.76	2.0
2010-06-01	1.76	1.12
2010-07-01	1.85	1.34
2010-08-01	1.75	1.15
2010-09-01	1.8	1.12
2010-10-01	1.88	1.17
2010-11-01	1.75	1.08
2010-12-01	1.74	1.44
2011-01-01	2.1	1.7
2011-02-01	1.83	2.12
2011-03-01	1.83	2.62
2011-04-01	1.87	3.08
2011-05-01	2.04	3.46
2011-06-01	2.09	3.5
2011-07-01	2.3	3.58
2011-08-01	1.95	3.75
2011-09-01	1.94	3.81
2011-10-01	1.98	3.52
2011-11-01	2.02	3.45
2011-12-01	2.02	3.06
2012-01-01	1.71	3.01
2012-02-01	1.79	2.9
2012-03-01	2.14	2.58
2012-04-01	2.1	2.27
2012-05-01	1.92	1.74
2012-06-01	2.0	1.65
2012-07-01	1.64	1.42
2012-08-01	1.82	1.69
2012-09-01	1.99	1.95
2012-10-01	1.64	2.16
2012-11-01	1.9	1.8
2012-12-01	2.15	1.76
2013-01-01	2.06	1.68
2013-02-01	2.15	2.02
2013-03-01	1.88	1.52
2013-04-01	2.05	1.14
2013-05-01	2.05	1.39
2013-06-01	2.13	1.72
2013-07-01	2.09	1.89
2013-08-01	2.3	1.54
2013-09-01	2.08	1.09
2013-10-01	2.25	0.88
2013-11-01	2.24	1.23
2013-12-01	1.94	1.51
2014-01-01	2.02	1.56
2014-02-01	2.31	1.12
2014-03-01	2.14	1.61
2014-04-01	1.97	2.02
2014-05-01	2.13	2.17
2014-06-01	2.09	2.06
2014-07-01	2.09	1.97
2014-08-01	2.16	1.72
2014-09-01	2.08	1.68
2014-10-01	2.08	1.61
2014-11-01	2.07	1.23
2014-12-01	1.86	0.65
2015-01-01	2.15	-0.23
2015-02-01	1.89	-0.09
2015-03-01	2.22	-0.02
2015-04-01	2.26	-0.1
2015-05-01	2.34	0.04
2015-06-01	2.09	0.18
2015-07-01	2.17	0.23
2015-08-01	2.28	0.24
2015-09-01	2.24	0.01
2015-10-01	2.48	0.13
2015-11-01	2.39	0.44
2015-12-01	2.52	0.64
2016-01-01	2.55	1.24
2016-02-01	2.38	0.85
2016-03-01	2.41	0.89
2016-04-01	2.57	1.17
2016-05-01	2.44	1.08
2016-06-01	2.6	1.08
2016-07-01	2.72	0.87
2016-08-01	2.43	1.06
2016-09-01	2.63	1.55
2016-10-01	2.78	1.69
2016-11-01	2.57	1.68
2016-12-01	2.69	2.05
2017-01-01	2.48	2.51
2017-02-01	2.72	2.81
2017-03-01	2.59	2.44
2017-04-01	2.55	2.18
2017-05-01	2.46	1.86
2017-06-01	2.5	1.64
2017-07-01	2.57	1.73
2017-08-01	2.57	1.93
2017-09-01	2.79	2.18
2017-10-01	2.32	2.02
2017-11-01	2.47	2.17
2017-12-01	2.7	2.13
2018-01-01	2.77	2.15
2018-02-01	2.57	2.26
2018-03-01	2.83	2.33
2018-04-01	2.79	2.47
2018-05-01	2.94	2.78
2018-06-01	2.93	2.81
2018-07-01	2.85	2.85
2018-08-01	3.19	2.64
2018-09-01	3.13	2.33
2018-10-01	3.28	2.49
2018-11-01	3.39	2.15
2018-12-01	3.49	2.0
2019-01-01	3.26	1.49
2019-02-01	3.55	1.52
2019-03-01	3.43	1.88
2019-04-01	3.27	2.0
2019-05-01	3.34	1.8
2019-06-01	3.48	1.67
2019-07-01	3.43	1.83
2019-08-01	3.42	1.74
2019-09-01	3.07	1.68
2019-10-01	3.18	1.73
2019-11-01	3.28	2.09
2019-12-01	2.98	2.32
2020-01-01	3.04	2.6
2020-02-01	3.07	2.34
2020-03-01	3.46	1.49
2020-04-01	8.1	0.31
2020-05-01	6.6	0.2
2020-06-01	5.04	0.72
2020-07-01	4.85	1.0
2020-08-01	4.8	1.28
2020-09-01	4.79	1.39
2020-10-01	4.6	1.23
2020-11-01	4.59	1.18
2020-12-01	5.39	1.32
2021-01-01	5.28	1.37
2021-02-01	5.29	1.67
2021-03-01	4.52	2.67
2021-04-01	0.6	4.13
2021-05-01	2.32	4.92
2021-06-01	3.95	5.3
2021-07-01	4.32	5.25
2021-08-01	4.37	5.15
2021-09-01	4.98	5.35
2021-10-01	5.42	6.24
2021-11-01	5.36	6.9
2021-12-01	4.95	7.17
2022-01-01	5.58	7.56
2022-02-01	5.29	7.94
2022-03-01	5.89	8.57
2022-04-01	5.76	8.23
2022-05-01	5.56	8.54
2022-06-01	5.4	8.98
2022-07-01	5.48	8.46
2022-08-01	5.39	8.22
2022-09-01	5.13	8.19
2022-10-01	5.01	7.76
2022-11-01	5.09	7.12
2022-12-01	4.94	6.4
2023-01-01	4.49	6.33
2023-02-01	4.77	5.96
2023-03-01	4.62	4.92
2023-04-01	4.6	4.95
2023-05-01	4.36	4.13
2023-06-01	4.66	3.07
2023-07-01	4.67	3.29
2023-08-01	4.47	3.72
2023-09-01	4.42	3.69
2023-10-01	4.22	3.25
2023-11-01	4.11	3.13
2023-12-01	4.1	3.32
2024-01-01	4.39	3.09
2024-02-01	4.13	3.16
2024-03-01	4.15	3.49
2024-04-01	3.98	3.36
2024-05-01	4.15	3.24
2024-06-01	3.92	2.97
2024-07-01	3.63	2.94
2024-08-01	3.92	2.61
2024-09-01	3.91	2.43
2024-10-01	4.05	2.58
2024-11-01	4.18	2.72
2024-12-01	4.08	2.87
2025-01-01	3.97	2.99
2025-02-01	4.11	2.8
2025-03-01	4.21	2.38
2025-04-01	3.91	2.33
2025-05-01	3.98	2.38
2025-06-01	3.86	2.68
2025-07-01	3.96	2.74
2025-08-01	3.98	2.94
2025-09-01	3.85	3.02
2025-10-01	3.92	not published
2025-11-01	3.93	2.7
2025-12-01	3.73	2.65
2026-01-01	3.66	2.39
2026-02-01	3.7	2.43
2026-03-01	3.43	3.29
2026-04-01	3.57	3.78
2026-05-01	3.34	4.17
2026-06-01	3.38	3.46
2026-07-01	3.21	3.3
2026-08-01	3.11	3.35
2026-09-01	3.02	3.72

Source: Federal Reserve Bank of St. Louis, FRED. CES0500000003, CPIAUCSL · retrieved Oct. 19, 2026 · 225 rows · as of September 2026 · monthly. Download CSV

C. Health care: high-deductible life, even with insurance

Health care is an affordability problem even for households that are nominally covered. Premiums, deductibles, and out-of-pocket exposure have become a financial management problem. Many families respond in predictable ways. They skip care, including visits to a doctor or specialist, or take on medical debt. In a Federal Reserve survey, 26% of insured adults went without some medical care in 2024 because they could not afford it, and 17% of all adults had medical debt.[11]

It is hard to feel economically secure when one ER visit or one unexpected diagnosis can destabilize the household budget. In a world of high deductibles, being insured does not always mean being protected.

D. Childcare: the second-income tax

Childcare is often described as a family issue. It is also a labor market issue. For a large share of households with young children, childcare functions like a tax on the second income. In many cases it is the hinge variable that determines whether work decisions align with wages.

This matters for affordability and for the macro economy. If childcare absorbs the second income, households have less buffer. If childcare is unavailable or unstable, labor supply is constrained. Both realities can be true at once, and both show up as stress rather than as a clean macro statistic.

E. The cumulative squeeze

The middle-class squeeze is not any one bill. It is the combination. When housing, food, health care, and childcare each claim a large share of take-home pay, there is little left for savings, emergencies, retirement contributions, or mobility such as moving for a better job. This is how living paycheck to paycheck can reach into six-figure households: in the same Federal Reserve survey, 22% of adults with family income of $100,000 or more spent about as much as their income in the prior month, and 12% spent more.[11]

---

III. Timely note: tariffs are no longer a background variable (late 2025 to early 2026)

Tariffs moved from a periodic political argument to a live macro variable. That matters because tariffs affect the price level directly, and they affect business costs indirectly.

Key signposts driving the 2026 debate include:

• NY Fed Liberty Street Economics uses import data (through November 2025) to estimate incidence and reports that the average statutory tariff rate on U.S. imports rose from 2.6% to 13% over 2025.
  • https://libertystreeteconomics.newyorkfed.org/2026/02/who-is-paying-for-the-2025-u-s-tariffs/
• CBO’s February 2026 outlook flags higher tariffs as a key reason inflation projections are higher than last year.
  • https://www.cbo.gov/publication/62105
• Yale Budget Lab tracks revenues and price effects in near-real time.
  • https://budgetlab.yale.edu/research/tracking-economic-effects-tariffs

• 2.6%Average statutory tariff rate on U.S. imports at the start of 2025 (Federal Reserve Bank of New York, Liberty…)
• 13%The same rate after rising over 2025 (Federal Reserve Bank of New York, Liberty…)

The 13% rate is the average statutory tariff rate at the end of 2025, weighted by 2024 imports.[1] Almost all of the 2025 rise in customs receipts came from tariffs imposed under the International Emergency Economic Powers Act (IEEPA) or, for national security, under Section 232, according to CBO.[2] On Feb. 20, 2026, the Supreme Court ruled 6-3 in Learning Resources, Inc. v. Trump that IEEPA does not authorize the President to impose tariffs.[9] The IEEPA tariffs were removed, and a temporary tariff under Section 122 of the Trade Act of 1974 took their place.[3] On the Budget Lab at Yale’s measure, which counts both changes, the average rate was 11.1% on April 2, 2026.[3] The two figures come from different sources for different dates, so the gap between them does not measure the ruling’s effect.[1][3]

These links do not prove that tariffs are always wrong. They prove something narrower. Tariffs are not free. If policy chooses tariffs, it should also be explicit about how the cost will be absorbed, and which households and regions will bear it.

---

IV. The tariff reality check

Tariffs are often sold as job protection or a strategic bargaining tool. Those arguments can be made. But they should not be made with fuzzy economics.

The same sources report what tariffs bring in. In February 2026, CBO estimated that higher tariffs cut projected deficits for 2026 to 2035 by $3.0 trillion, counting their effects on the economy and on interest costs.[2] CBO also expects “an increase in the domestic production of some import-competing goods resulting from higher tariffs.”[2] CBO assumed the tariffs in effect on Nov. 20, 2025, stay in place throughout its projections.[2] About 41 percent of 2025 customs duties were imposed under IEEPA, though CBO expected the Administration could replicate most of those tariffs under other laws.[2] The Budget Lab at Yale counts $214.7 billion in added customs revenue, adjusted for inflation, above the 2022 to 2024 average through February 2026. It notes that about $165 billion collected under IEEPA may be refunded to importers, which would leave $49.7 billion of revenue raised through February 2026.[3]

A tariff is a tax on imports. The importing firm writes the check. The cost then moves through the chain, from exporters to importers and wholesalers to retailers and then, in many cases, to consumers. The incidence is the core question. Who actually bears the cost.

A New York Fed analysis of the 2025 tariff regime frames this precisely and uses import data to examine the split between domestic and foreign burden.

• https://libertystreeteconomics.newyorkfed.org/2026/02/who-is-paying-for-the-2025-u-s-tariffs/

The second question is where tariffs land. If tariffs hit consumer goods, the cost is visible as higher prices. If tariffs hit intermediate inputs, the cost is visible as higher production costs, lower margins, or both. Since many imports are used as inputs in domestic production, sweeping tariffs raise costs for U.S. firms as well as sticker prices for households.[2]

The jobs question, and why it is often unsatisfying

The tariff-to-jobs story tends to disappoint because it runs into three realities. Modern manufacturing is capital-intensive, so reshoring does not necessarily mean lots of jobs. Downstream sectors are often larger than the protected sectors, so higher input costs can lead to job losses elsewhere. Retaliation concentrates pain, and export-oriented regions can take the hit even if the policy is national.

That does not mean tariffs never work. It means they should be evaluated like any other policy, by net effects rather than slogans.

---

V. The middle-class squeeze in detail

Affordability pressure becomes a squeeze when households lose buffers. When buffers shrink, the short-term solution is usually debt. Credit cards become the shock absorber. Auto loans stretch longer. Student loan payments re-enter the household budget.[12][13]

A. Income growth vs. cost growth

Nominal wages can rise while real purchasing power falls if the largest cost categories rise faster than wages. Even when inflation cools, households still face the higher level of costs that accumulated in the past few years. If the biggest bills rose faster than the paycheck, the lived outcome is not relief. It is stagnation.

B. The two-income trap, revisited

Many households are not choosing a two-income model. They are locked into it. Childcare then becomes the hinge variable. If childcare costs consume the second income, the family is working harder without building stability.

C. Debt and fragility

This is the difference between a stable economy and a stable household. Aggregate indicators can stay fine for longer than household balance sheets can. Fragility increases quietly. It becomes visible only when a layoff, a medical bill, or a car repair pushes a household from stress into delinquency.

D. Geographic disparities

The squeeze is national, but it is not uniform. High-cost metros have extreme housing pressure. Faster-growing regions can combine job growth with rising costs. Lower-cost regions may have fewer opportunities. The distributional reality matters because the average economy is not where most people live.

---

VI. Who is actually doing well, and why that matters

A key reason macro indicators can stay stable is that some segments are doing very well. Households with substantial assets and stable high incomes are insulated. Asset appreciation supports wealth. Wage growth in certain professional categories stays strong.

Some sectors also have structural tailwinds, including health care due to demand, skilled trades in constrained labor markets, and certain energy segments.

Why the winners story is not a rebuttal

It is tempting to argue that the economy is fine, and to point at the stock market or top-line growth. But a strong top does not cancel stress in the middle. In political terms, a distribution that produces visible winners and broad anxiety is unstable even if aggregate GDP looks fine.

---

VII. What early-2026 data does and does not tell you

CBO’s February 2026 outlook is useful because it frames a key theme. 2026 can have decent growth with inflation pressures that are meaningfully affected by policy choices such as tariffs.

• https://www.cbo.gov/publication/62105

A practical way to read the early-2026 data is to keep three ideas in your head at once. Growth can be decent while distribution is uneven. Unemployment can be low while job-quality concerns persist. Inflation can cool while the price level remains high. That is why sentiment can stay low even when top-line numbers improve.

• Months with no published figure

Data table

date	Unemployment rate
2000-01-01	4.0
2000-02-01	4.1
2000-03-01	4.0
2000-04-01	3.8
2000-05-01	4.0
2000-06-01	4.0
2000-07-01	4.0
2000-08-01	4.1
2000-09-01	3.9
2000-10-01	3.9
2000-11-01	3.9
2000-12-01	3.9
2001-01-01	4.2
2001-02-01	4.2
2001-03-01	4.3
2001-04-01	4.4
2001-05-01	4.3
2001-06-01	4.5
2001-07-01	4.6
2001-08-01	4.9
2001-09-01	5.0
2001-10-01	5.3
2001-11-01	5.5
2001-12-01	5.7
2002-01-01	5.7
2002-02-01	5.7
2002-03-01	5.7
2002-04-01	5.9
2002-05-01	5.8
2002-06-01	5.8
2002-07-01	5.8
2002-08-01	5.7
2002-09-01	5.7
2002-10-01	5.7
2002-11-01	5.9
2002-12-01	6.0
2003-01-01	5.8
2003-02-01	5.9
2003-03-01	5.9
2003-04-01	6.0
2003-05-01	6.1
2003-06-01	6.3
2003-07-01	6.2
2003-08-01	6.1
2003-09-01	6.1
2003-10-01	6.0
2003-11-01	5.8
2003-12-01	5.7
2004-01-01	5.7
2004-02-01	5.6
2004-03-01	5.8
2004-04-01	5.6
2004-05-01	5.6
2004-06-01	5.6
2004-07-01	5.5
2004-08-01	5.4
2004-09-01	5.4
2004-10-01	5.5
2004-11-01	5.4
2004-12-01	5.4
2005-01-01	5.3
2005-02-01	5.4
2005-03-01	5.2
2005-04-01	5.2
2005-05-01	5.1
2005-06-01	5.0
2005-07-01	5.0
2005-08-01	4.9
2005-09-01	5.0
2005-10-01	5.0
2005-11-01	5.0
2005-12-01	4.9
2006-01-01	4.7
2006-02-01	4.8
2006-03-01	4.7
2006-04-01	4.7
2006-05-01	4.6
2006-06-01	4.6
2006-07-01	4.7
2006-08-01	4.7
2006-09-01	4.5
2006-10-01	4.4
2006-11-01	4.5
2006-12-01	4.4
2007-01-01	4.6
2007-02-01	4.5
2007-03-01	4.4
2007-04-01	4.5
2007-05-01	4.4
2007-06-01	4.6
2007-07-01	4.7
2007-08-01	4.6
2007-09-01	4.7
2007-10-01	4.7
2007-11-01	4.7
2007-12-01	5.0
2008-01-01	5.0
2008-02-01	4.9
2008-03-01	5.1
2008-04-01	5.0
2008-05-01	5.4
2008-06-01	5.6
2008-07-01	5.8
2008-08-01	6.1
2008-09-01	6.1
2008-10-01	6.5
2008-11-01	6.8
2008-12-01	7.3
2009-01-01	7.8
2009-02-01	8.3
2009-03-01	8.7
2009-04-01	9.0
2009-05-01	9.4
2009-06-01	9.5
2009-07-01	9.5
2009-08-01	9.6
2009-09-01	9.8
2009-10-01	10.0
2009-11-01	9.9
2009-12-01	9.9
2010-01-01	9.8
2010-02-01	9.8
2010-03-01	9.9
2010-04-01	9.9
2010-05-01	9.6
2010-06-01	9.4
2010-07-01	9.4
2010-08-01	9.5
2010-09-01	9.5
2010-10-01	9.4
2010-11-01	9.8
2010-12-01	9.3
2011-01-01	9.1
2011-02-01	9.0
2011-03-01	9.0
2011-04-01	9.1
2011-05-01	9.0
2011-06-01	9.1
2011-07-01	9.0
2011-08-01	9.0
2011-09-01	9.0
2011-10-01	8.8
2011-11-01	8.6
2011-12-01	8.5
2012-01-01	8.3
2012-02-01	8.3
2012-03-01	8.2
2012-04-01	8.2
2012-05-01	8.2
2012-06-01	8.2
2012-07-01	8.2
2012-08-01	8.1
2012-09-01	7.8
2012-10-01	7.8
2012-11-01	7.7
2012-12-01	7.9
2013-01-01	8.0
2013-02-01	7.7
2013-03-01	7.5
2013-04-01	7.6
2013-05-01	7.5
2013-06-01	7.5
2013-07-01	7.3
2013-08-01	7.2
2013-09-01	7.2
2013-10-01	7.2
2013-11-01	6.9
2013-12-01	6.7
2014-01-01	6.6
2014-02-01	6.7
2014-03-01	6.7
2014-04-01	6.2
2014-05-01	6.3
2014-06-01	6.1
2014-07-01	6.2
2014-08-01	6.1
2014-09-01	5.9
2014-10-01	5.7
2014-11-01	5.8
2014-12-01	5.6
2015-01-01	5.7
2015-02-01	5.5
2015-03-01	5.4
2015-04-01	5.4
2015-05-01	5.6
2015-06-01	5.3
2015-07-01	5.2
2015-08-01	5.1
2015-09-01	5.0
2015-10-01	5.0
2015-11-01	5.1
2015-12-01	5.0
2016-01-01	4.8
2016-02-01	4.9
2016-03-01	5.0
2016-04-01	5.1
2016-05-01	4.8
2016-06-01	4.9
2016-07-01	4.8
2016-08-01	4.9
2016-09-01	5.0
2016-10-01	4.9
2016-11-01	4.7
2016-12-01	4.7
2017-01-01	4.7
2017-02-01	4.6
2017-03-01	4.4
2017-04-01	4.4
2017-05-01	4.4
2017-06-01	4.3
2017-07-01	4.3
2017-08-01	4.4
2017-09-01	4.3
2017-10-01	4.2
2017-11-01	4.2
2017-12-01	4.1
2018-01-01	4.0
2018-02-01	4.1
2018-03-01	4.0
2018-04-01	4.0
2018-05-01	3.8
2018-06-01	4.0
2018-07-01	3.8
2018-08-01	3.8
2018-09-01	3.7
2018-10-01	3.8
2018-11-01	3.8
2018-12-01	3.9
2019-01-01	4.0
2019-02-01	3.8
2019-03-01	3.8
2019-04-01	3.7
2019-05-01	3.6
2019-06-01	3.6
2019-07-01	3.7
2019-08-01	3.6
2019-09-01	3.5
2019-10-01	3.6
2019-11-01	3.6
2019-12-01	3.6
2020-01-01	3.6
2020-02-01	3.5
2020-03-01	4.4
2020-04-01	14.8
2020-05-01	13.2
2020-06-01	11.0
2020-07-01	10.2
2020-08-01	8.4
2020-09-01	7.8
2020-10-01	6.9
2020-11-01	6.7
2020-12-01	6.7
2021-01-01	6.4
2021-02-01	6.2
2021-03-01	6.1
2021-04-01	6.1
2021-05-01	5.8
2021-06-01	5.9
2021-07-01	5.4
2021-08-01	5.1
2021-09-01	4.7
2021-10-01	4.5
2021-11-01	4.1
2021-12-01	3.9
2022-01-01	4.0
2022-02-01	3.9
2022-03-01	3.7
2022-04-01	3.7
2022-05-01	3.6
2022-06-01	3.6
2022-07-01	3.5
2022-08-01	3.6
2022-09-01	3.5
2022-10-01	3.6
2022-11-01	3.6
2022-12-01	3.5
2023-01-01	3.5
2023-02-01	3.6
2023-03-01	3.5
2023-04-01	3.4
2023-05-01	3.6
2023-06-01	3.6
2023-07-01	3.5
2023-08-01	3.7
2023-09-01	3.7
2023-10-01	3.9
2023-11-01	3.7
2023-12-01	3.8
2024-01-01	3.7
2024-02-01	3.9
2024-03-01	3.9
2024-04-01	3.9
2024-05-01	3.9
2024-06-01	4.1
2024-07-01	4.2
2024-08-01	4.2
2024-09-01	4.1
2024-10-01	4.1
2024-11-01	4.2
2024-12-01	4.1
2025-01-01	4.0
2025-02-01	4.2
2025-03-01	4.2
2025-04-01	4.2
2025-05-01	4.3
2025-06-01	4.1
2025-07-01	4.3
2025-08-01	4.3
2025-09-01	4.4
2025-10-01	not published
2025-11-01	4.5
2025-12-01	4.4
2026-01-01	4.3
2026-02-01	4.4
2026-03-01	4.3
2026-04-01	4.3
2026-05-01	4.3
2026-06-01	4.2
2026-07-01	4.1
2026-08-01	4.1
2026-09-01	4.2

Source: Federal Reserve Bank of St. Louis, FRED. UNRATE · retrieved Oct. 19, 2026 · 320 rows · as of September 2026 · monthly. Download CSV

---

VIII. Structural drivers (why this persists)

Affordability is not just a post-pandemic hangover. It is structural.

Concentration and pricing power matter because in concentrated markets firms can maintain higher prices for longer, and wage pressure can remain weak where labor has less bargaining power.

Housing supply constraints are the most structural category. Underbuilding since the post-2008 era, zoning and land-use constraints, and local veto points have made it difficult for supply to respond to demand in high-opportunity regions. If supply does not improve, the affordability problem does not resolve itself.

Health care structure matters too. The U.S. system produces weak price discipline and high complexity, which keeps costs rising faster than many wages.

Labor market power is part of the story as well. In many regions and industries, labor markets do not behave like textbook competition. Monopsony pockets, noncompetes, and weak bargaining structures can suppress wage growth even when employers report shortages.

---

IX. What this means for 2026

The risk case for 2026 is not immediate collapse. It is sustained erosion.

Affordability is likely to be the dominant mood variable. In an affordability economy, voters do not reward cooler inflation if the monthly bills still feel out of control.

Sustained affordability pressure also changes behavior. It delays family formation, drives migration and household splitting, and raises stress and burnout.

The policy demand signal is straightforward. People want policy that changes levels, not just rates. That usually means housing supply and land-use reform, health care cost containment and transparency, childcare affordability and supply, and wage policy and bargaining power.

Tariffs sit awkwardly in this list because they can be politically popular while adding to price pressures. That tension is part of why tariffs will be a central 2026 argument.

---

Conclusion

The economy can look stable in the aggregate while the middle experiences instability in the household budget. That is what it means to live in an affordability economy. If affordability does not improve, even good macro outcomes will remain politically fragile.

---

Additional reading

• Housing Crisis: Supply, Demand, and Zoning Reform
• Why grocery prices feel higher even when inflation cools
• The difference between “jobs added” and “jobs people actually want”
• https://libertystreeteconomics.newyorkfed.org/2026/02/who-is-paying-for-the-2025-u-s-tariffs/
• https://budgetlab.yale.edu/research/tracking-economic-effects-tariffs
• https://www.cbo.gov/publication/62105

---

Sources (high-value, time-sensitive)

• NY Fed (Liberty Street Economics): Who Is Paying for the 2025 U.S. Tariffs? (Feb 12, 2026): https://libertystreeteconomics.newyorkfed.org/2026/02/who-is-paying-for-the-2025-u-s-tariffs/
• Yale Budget Lab: Tracking the Economic Effects of Tariffs (April 1, 2026 version): https://budgetlab.yale.edu/research/tracking-economic-effects-tariffs
• CBO: The Budget and Economic Outlook: 2026 to 2036 (Feb 2026): https://www.cbo.gov/publication/62105
• Stanford SIEPR publications hub (tariffs and inflation context): https://siepr.stanford.edu/publications