Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

December 2023 Report 1107

Consumer expenditures in 2022

Consumer expenditures in 2022 image

By Shane Meyers, Geoffrey D. Paulin, and Kristen Thiel

Consumers may look back and remember 2022 as the year that inflation rates reached peaks that had not been seen in 40 years. In 2022, the Consumer Price Index (CPI) for All Urban Consumers rose to the highest annual rate since 1981, peaking in June 2022 at a 9.1-percent increase over the previous year.1 This inflationary environment raised questions about how consumers would adjust their spending habits between economic wants and needs. Constraints tied to the COVID-19 pandemic, including travel restrictions, capacity limitations, and government-imposed lockdowns, loosened in 2022, while the threat of new COVID-19 variants receded in the minds of average consumers.

How did the challenge of high inflation affect the spending patterns of the typical household? This report analyzes integrated data from the Diary and Interview Survey components of the Consumer Expenditure Surveys (CE). (For details about these components, including how their results are integrated in publication, see the technical notes section.) The data in this report are drawn from a collection of CE tables, highlighting the vast array of demographic data available for use. The incomes and expenditures shown in the tables throughout this report are expressed as nominal values, representing spending in U.S. dollars as reported by surveyed consumers.2 These data are collected by the U.S. Census Bureau under contract with the U.S. Bureau of Labor Statistics (BLS). BLS then publishes the data in specific categories, usually defined by characteristics of the reference person for a given consumer unit (CU).3

Each year since 2020 has posed unique economic challenges for consumers, as the economy experienced major changes tied to the COVID-19 pandemic. The next section details the economic conditions that influenced spending patterns, shares, and dynamics in 2022.

Effects of inflation and supply chain disruptions in 2022

Prices rose by an average of 8.0 percent from 2021 to 2022, as measured by the CPI for All Urban Consumers, compared with an average of 4.7 percent from 2020 to 2021. In 2022, the 12-month percent change of inflation fluctuated, falling to 6.5 percent in December after peaking at 9.1 percent in June. Since the June 2022 peak, while the growth rate of inflation has come off its recent high, consumer prices continue to rise at elevated levels.

CUs continued to face impacts of high inflation, as shown by price trends for key expenditures. For example, the average annual change in gasoline prices in 2022 was 31.7 percent, compounding the 36.0-percent increase in 2021. Fueled by more expensive gasoline, new and used vehicle prices continued to rise in 2022, with inflation rates of 10.4 percent and 12.7 percent, respectively. Prices also spiked by 17.7 percent in household energy, 13.1 percent in electricity, and 9.9 percent in food.

To examine how inflation affected the average household, consider a CU that spent 10.0 percent more on goods and services in 2022 than in 2021. This percentage represents the change in nominal spending that the CU provided in exchange for their desired bundle of goods and services. As previously stated, the average annual rate of inflation was 8.0 percent in 2022. Real spending growth, or the difference between the nominal spending rate and the inflation rate, would be 2.0 percent (10.0 percent minus 8.0 percent). Therefore, much of the increase in the CU’s spending could be attributed to higher prices rather than to an increase in the quantity of goods purchased or a change in consumer preference.

In 2021, most supply chain disruptions were exhibited by long lines of container ships waiting at U.S. ports of entry. In 2022, these constraints extended to land-based transportation as well, with a shortage of 78,000 truck drivers, higher freight costs, depleted inventories, and other labor shortages facilitating continued supply chain issues.4

In 2022, fears tied to the COVID-19 pandemic began to subside as vaccines, oral medication, and therapeutics to treat COVID-19 became readily available to the public.5 This shift in consumer attitudes from the previous year likely increased demand for entertainment, travel, and food away from home—three expenditure categories that declined sharply due to the impacts of COVID-19. The effects of compounding inflation and lingering supply chain issues undoubtedly weighed heavily on the minds of consumers as they charted their course for spending in 2022.

Table A displays average annual expenditures in nominal dollars and associated percent changes for both total expenditures and its major components (i.e., expenditure categories such as food) from 2019 to 2022. Average annual expenditures grew by 9.0 percent to $72,967 in 2022, up over $6,000 from 2021 and up almost $10,000 (15.7 percent) from 2019. Expenditures rose by a similar 9.1 percent in 2021, after declining by 2.7 percent in 2020—only the third time average annual expenditures had fallen in the history of the series, which began in 1984. Income before taxes in 2022 grew noticeably by 7.5 percent and continued a positive trend of income growth since 2020, when income growth decelerated from 5.4 to 1.8 percent due to the impacts of COVID-19.6

 Table A. Average annual expenditures by major category of all consumer units and percent changes, Consumer Expenditure Surveys, 2019–22
Item2019202020212022Percent change
2019–202020–212021–22

Number of consumer units (in thousands) [1]

132,242131,234133,595134,090[2][2][2]

Consumer unit characteristics:

Income before taxes

$82,852$84,352$87,432$94,0031.83.77.5

Age of reference person

51.652.251.852.1[2][2][2]

Average number in consumer unit:

People

2.52.52.42.4[2][2][2]

Children under 18

.6.6.6.6[2][2][2]

Adults 65 and older

.4.4.4.4[2][2][2]

Earners

1.31.31.31.3[2][2][2]

Vehicles

1.91.91.91.9[2][2][2]

Percent homeowner

64666565[2][2][2]

Average annual expenditures

$63,036$61,332$66,928$72,967-2.79.19.0

Food

8,1697,3108,2899,343-10.513.412.7

Food at home

4,6434,9355,2595,7036.36.68.4

Cereals and bakery products

5836406727129.85.06.0

Meats, poultry, fish, and eggs

9801,0701,1151,2169.24.29.1

Dairy products

4554744925324.23.88.1

Fruits and vegetables

8769761,0331,09911.45.86.4

Other food at home

1,7491,7761,9472,1441.59.610.1

Food away from home

3,5262,3753,0303,639-32.627.620.1

Alcoholic beverages

579478554583-17.415.95.2

Housing

20,67921,41722,62424,2983.65.67.4

Shelter

12,19012,60413,25814,5073.45.29.4

Owned dwellings

6,7977,4737,5918,2309.91.68.4

Rented dwellings

4,4324,4084,6844,990-.56.36.5

Other lodging

9617229831,287-24.936.130.9

Utilities, fuels, and public services

4,0554,1664,2234,5492.71.47.7

Household operations

1,5701,4651,6381,849-6.711.812.9

Housekeeping supplies

7668378037879.3-4.1-2.0

Household furnishings and equipment

2,0982,3462,7012,60611.815.1-3.5

Apparel and services

1,8831,4341,7541,945-23.822.310.9

Transportation

10,7429,82610,96112,295-8.511.612.2

Vehicle purchases (net outlay)

4,3944,5234,8284,4962.96.7-6.9

Gasoline, other fuels, and motor oil

2,0941,5682,1483,120-25.137.045.3

Other vehicle expenses

3,4743,4713,5343,834-.11.88.5

Public and other transportation

781263452845-66.371.986.9

Healthcare

5,1935,1775,4525,850-.35.37.3

Entertainment

3,0902,9093,5683,458-5.922.7-3.1

Personal care products and services

786646771866-17.819.312.3

Reading

9211411411723.9.02.6

Education

1,4431,2711,2261,335-11.9-3.58.9

Tobacco products and smoking supplies

320315341371-1.68.38.8

Miscellaneous

8999079861009.98.72.3

Cash contributions

1,9952,2832,4152,75514.45.814.1

Personal insurance and pensions

7,1657,2467,8738,7421.18.711.0

Life and other personal insurance

520486473519-6.5-2.79.7

Pensions and Social Security

6,6456,7607,4008,2231.79.511.1

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Not applicable.

Source: U.S. Bureau of Labor Statistics.

In 2022, spending increased in 13 of the 14 major expenditure categories. (See table A and chart 1.) Most categories exhibited similar patterns to 2021, with some growing by a larger amount. Interestingly, one category (entertainment) reversed trend, and spending declined. Among the categories experiencing sharp increases was transportation, with expenditures increasing by 12.2 percent (or $1,334) in 2022, following an increase of 11.6 percent (or $1,135) in 2021. Two main components fueled the rise in transportation spending in 2022: gasoline, fuel, and motor oil expenditures rose by 45.3 percent and public and other transportation expenditures rose by 86.9 percent. The rise in gasoline, fuel, and motor oil expenditures can be attributed both to high gasoline prices and refining capacity. Consumer prices for gasoline rose by over 31 percent in 2022, peaking in June at $5.15 per gallon nationally. Domestic annual refining capacity had also declined in 2021 to an 8-year low. Although capacity was up marginally in 2022, the additional capacity sat idle while operating levels, which can be drawn upon, declined. Therefore, a sufficient supply of petroleum products was inhibited from reaching the market and meeting consumer demand.7 In 2022, CUs spent an average of $845 on public and other transportation expenditures, which includes intracity and intercity modes of transportation. The 86.9-percent rise in public and other transportation expenditures over the year was driven primarily by an 88.3-percent increase in airline fare expenditures. Airline fares typically account for about 60 to 70 percent of the share of expenditures in public and other transportation expenditures.

Food spending continued to climb at an even higher rate than transportation in 2022, rising by 12.7 percent. Food at home, which consists of purchases from grocery stores and similar venues, rose by 8.4 percent. As was the case in 2021, spending by CUs on proteins (meat, poultry, fish, and eggs), produce, and dairy products led to higher annual expenditures. In 2022, these three subcategories experienced annual inflation rates of 10.9, 8.5, and 12.0 percent, respectively.

Food away from home expenditures, or spending at restaurants, take-out venues, and all other meals not prepared in one’s living quarters, rose by 20.1 percent. Food away from home expenditures increased by $609 above 2021 levels and are $113 above 2019 levels. Reduced fears of COVID-19 and increased demand for communal gatherings compared with the previous 2 years, as well as inflation at restaurants, likely contributed to this spending increase.

Housing expenditures, which account for the largest share of total expenditures, rose by 7.4 percent in 2022. High home prices, high mortgage lending rates, and particularly high rental rates for apartments placed upward pressure on spending over the year. Spending on both owned and rented dwellings rose, by 8.4 and 6.5 percent, respectively. Mortgage interest and principal payments are essential expenditures for owned dwellings, and a rapidly changing mortgage environment sent an exogenous shock through the market. The average rate for a 30-year fixed rate mortgage in 2022 was 5.33 percent, nearly two times higher than the 2021 rate.8 This not only resulted in higher mortgage interest payments, but pushed consumers on the margin out of owned dwellings and into the rental market. In turn, rental demand, rental rates, and thus rent expenditures were all driven upward. Higher median housing prices further compounded these issues. Federal Reserve data showed that the median sale price of a home reached $479,500 in the fourth quarter of 2022, almost another $56,000 above the 2021 fourth quarter median price of $423,600.9 In addition to the baseline costs associated with obtaining an owned or rented dwelling, increases in other lodging (which includes hotel/motel, B&B accommodations, etc.) of 30.9 percent; household operations of 12.9 percent; and utilities, fuels, and public services of 7.7 percent contributed to the rise in housing expenditures as well.

Healthcare expenditures grew by 7.3 percent in 2022 as consumers resumed receiving elective surgeries, after procedures were mostly halted at the onset of the COVID-19 pandemic.10 Simultaneously, many consumers likely had backlogged health concerns that needed to be addressed. A 23-percent increase in drug expenditures further bolstered healthcare expenditures.

One major expenditure category declined in 2022—entertainment fell by 3.1 percent. The decline may have been an offsetting movement from notable strength in 2021, when entertainment expenditures increased by 22.7 percent. In 2021, a surge in entertainment expenditures resulted from substantially pent-up demand to attend sporting events, concerts, and other recreational activities that were constrained by the COVID-19 pandemic in 2020. In 2022, the decrease in expenditures is due in part to a 24.5-percent decline in other entertainment supplies, equipment, and services, which contrasts its 60.6-percent increase in 2021. Pets, toys, hobbies, and playground equipment spending also fell by 6.3 percent in 2022. Although spending on fees and admissions rose by 27.4 percent, it did not offset the two aforementioned declines. Entertainment expenditure data for 2022 may reflect consumption smoothing from 2021 levels or a return to the stability of 2019 levels.

All other major expenditure categories exhibited increases between 2.3 and 14.1 percent in 2022. Personal care products and services rose by 12.3 percent, while apparel and services rose by 10.9 percent. Double-digit spending growth was observed in cash contributions, as well as in personal insurance and pensions. The education, tobacco products and smoking supplies, alcoholic beverages, reading, and miscellaneous expenditure categories all grew by single-digit rates.

Expenditure shares: how do consumers divide up their spending?

The concept of expenditure shares is critical in analyzing short and long run spending dynamics, especially amid evolving consumer preferences and priorities. In the short run, expenditure shares illustrate the difficult choices that the typical consumer faces in allocating their paycheck toward food, gasoline, rent, and other expenses. In the long run, expenditure shares instead reflect adjustments in living standards. For example, CUs that allocate lower shares to the essentials of food, transportation, housing, and healthcare can spend larger shares on entertainment, cash contributions, personal care products and services, and other discretionary goods and services that are not as affordable to those on tight budgets.

Historically, the largest share of consumer spending is allocated to housing. (See chart 2A.) From 2019 to 2022, the share ranged from 32.8 percent in 2019 to 34.9 percent in 2020. In 2022, 33.3 percent of total expenditures, or just over 33 cents of each dollar spent, was attributed to housing-related expenses. Following housing, transportation, food, personal insurance and pensions, and healthcare round out the top five expenditure shares. (See chart 2B.) For the purposes of this report, the six expenditure categories to which consumers allocate on average the smallest shares of their total expenditures are combined into the all other expenditures category.11 Expenditures in this category include personal care products and services, alcoholic beverages, reading, education, tobacco products and smoking supplies, and miscellaneous expenditures.

Trends in expenditure share allocation between 2021 and 2022 are mixed. Of the 14 major expenditure categories, 5 rose, 5 remained unchanged, and 4 declined from their 2021 levels. As shown in table B and chart 2A, consumers allocated slightly larger shares of total spending toward transportation, food, apparel and services, personal insurance and pensions, and cash contributions, all rising between one and four tenths of one percentage point. Transportation expenditure shares rose by four tenths of one percentage point, driven by an over one-percentage-point increase in gasoline, other fuels, and motor oil and a half-of-a-percentage-point markup in public and other transportation. Food expenditure shares also rose by four tenths of one percentage point, due to food away from home rising by half of a percentage point, while food at home declined by one tenth of one percentage point.

Shares of entertainment, housing, healthcare, and miscellaneous expenditures all fell between one and six tenths of one percentage point. Entertainment shares returned to 2020 levels (4.7 percent), after accounting for 5.3 percent of total expenditures in 2021. Housing fell by half of a percentage point, due primarily to household furnishings and equipment declining by four tenths of one percentage point. Consumers spent the same amount (5.9 percent) on all other expenditures in 2021 and 2022, leaving the remaining 94.1 percent of spending, or 94.1 cents on the dollar, to the top eight expenditure categories.

 Table B. Percent distribution of total annual expenditures by major category for all consumer units, Consumer Expenditure Surveys, 2019-22
Spending Category2019202020212022

Average annual expenditures

100.0100.0100.0100.0

Food

13.011.912.412.8

Food at home

7.48.07.97.8

Food away from home

5.63.94.55.0

Alcoholic beverages

.9.8.8.8

Housing

32.834.933.833.3

Shelter

19.320.519.819.9

Utilities, fuels, and public services

6.46.86.36.2

Household operations

2.52.42.42.5

Housekeeping supplies

1.21.41.21.1

Household furnishings and equipment

3.33.84.03.6

Apparel and services

3.02.32.62.7

Transportation

17.016.016.416.8

Vehicle purchases (net outlay)

7.07.47.26.2

Gasoline, other fuels, and motor oil

3.32.63.24.3

Other vehicle expenses

5.55.75.35.3

Public and other transportation

1.2.4.71.2

Healthcare

8.28.48.18.0

Entertainment

4.94.75.34.7

Personal care products and services

1.21.11.21.2

Reading

.1.2.2.2

Education

2.32.11.81.8

Tobacco products and smoking supplies

.5.5.5.5

Miscellaneous

1.41.51.51.4

Cash contributions

3.23.73.63.8

Personal insurance and pensions

11.411.811.812.0

Life and other personal insurance

.8.8.7.7

Pensions and Social Security

10.511.011.111.3

Source: U.S. Bureau of Labor Statistics.

Income and expenditure dynamics

Almost by definition, income is a leading predictor of expenditures. Those with higher incomes are expected, at least on average, to spend more on most goods and services than those with lower incomes. Increasing prices simultaneously decreases the purchasing power of all consumers, leading one to expect diminished expenditures (or at least in quantities purchased) for many goods and services. As the labor market recovered and the average income of a consumer increased amid 40-year highs in inflation in 2022, it is important to analyze how various income groups adapted their spending habits to the changing economic landscape.

In 2022, gains in nominal income of about 7 to 8 percent were observed across the board for CUs in all income quintiles.12 (See table C.) The lowest quintile made noticeable income gains of 7.8 percent from 2021 to 2022, compared with the 0.4-percent income losses the quintile faced from 2020 to 2021. The 7.8-percent gain occurred in conjunction with a reduction in personal tax rebates of over $700 due to the lack of stimulus payments.13 Gains in income in 2022 can be attributed to higher wage and salary incomes, as well as cost-of-living adjustments (COLA) for Social Security payments of 5.9 percent.14

 Table C. Dollar change and percent change in average annual expenditures on major categories by income quintiles, 2021–22
ItemLowest quintileSecond quintileThird quintileFourth quintileHighest quintile
Over-the-year changeOver-the-year changeOver-the-year changeOver-the-year changeOver-the-year change
DollarPercentDollarPercentDollarPercentDollarPercentDollarPercent

Income before taxes

1,0267.82,6747.74,4457.38,2038.217,6397.8

Total

1,7425.63,7408.56,04110.86,6738.912,4429.7

Food

2154.473012.61,18716.11,39714.81,74112.5

At home

1002.82957.377116.266111.33964.9

Away from home

1168.643524.341716.073620.81,34523.0

Alcoholic beverages

2411.6113.76315.6447.150.4

Housing

5224.11,2547.51,6038.01,2184.93,90310.1

Apparel and services

-39-4.1110.917911.649728.03069.3

Transportation

65515.31682.14634.51,73513.43,72219.4

Healthcare

2789.01894.41,14823.93355.3760.9

Entertainment

-161-11.5-90-4.439315.4-159-4.0-497-6.3

Personal care products and services

112.9468.318830.1717.816612.1

Reading

1220.411.71418.3-12-8.8-2-0.8

Education

14227.88018.712623.613613.0792.2

Tobacco products and smoking supplies

3911.64411.9-12-3.13910.33916.6

Miscellaneous

245.1487.6182.3232.030.2

Cash contributions

-77-8.21070[1]76.0[1]26816.8160.74517.6

Personal insurance and pensions

9718.01778.24028.01,33414.12,44811.1

Footnotes:

[1] Cash contributions spending for the second income quintile is suppressed on the CE tables due to having a relative standard error (RSE) greater than or equal to 25 percent. The value is not suppressed here for the purposes of this report.

Source: U.S. Bureau of Labor Statistics.

Total expenditures rose for all five income groups, with increases ranging from 5.6 percent for the lowest income quintile to 10.8 percent for the third income quintile. (See chart 3.) Total expenditure increases for the second income quintile were fourth highest (8.5 percent), primarily attributable to increases in cash contributions (76.0 percent), housing (7.5 percent), and food (12.6 percent).15 The third quintile and highest quintile outpaced the 9.0-percent rise in total expenditures, rising by 10.8 and 9.7 percent, respectively. For the third quintile, increases in food (16.1 percent), housing (8.0 percent), and healthcare (23.9 percent) undoubtedly placed an upward bias on total expenditures. Similarly, higher spending on food, housing, and transportation led to the change for the highest quintile. These three categories alone accounted for 75.3 percent, or $9,366 of the $12,442 spent, for the highest quintile. CUs in the highest quintile also mirrored spending dynamics seen for all CUs in table A, where increases in food, transportation, and housing expenditures beyond both 2021 and prepandemic levels occurred amid the 40-year high of inflation in 2022.

 

Analysis of spending on key categories: food, housing, utilities, vehicles, gas, entertainment, and travel

The following section analyzes trends in several key expenditures at a more granular level, while highlighting some of the demographic data that CE has available. Topics covered in this section include spending on food at and away from home by income quintile, rent and mortgage spending by metropolitan statistical area (MSA), utilities expenditures, spending on new and used automobiles, gasoline spending, entertainment expenditures, and travel expenditures.

Dining out or cooking at home: how are consumers spending food dollars?

Food is one of the basic needs of life, and the effects of the COVID-19 pandemic drastically changed the way that many consumers purchase this commodity. Restaurants shuttered due to lockdowns mandated by state and local governments in 2020, which constrained spending mostly to food at home, as opposed to food away from home. Food at home includes food purchased from grocery stores or similar venues, for which preparation is needed. Food away from home includes food from restaurants or similar venues, where the consumer pays for the service of food preparation. It may also include delivery to a consumer’s home or table or the implicit costs of nonessentials—such as convenience, ambiance, and so forth. Even after restaurants reopened, some consumers suppressed food away from home spending to minimize their exposure to COVID-19. In 2022, price increases and supply chain disruptions—some tied to, and some independent of, the pandemic—affected consumer purchases.

Note that food away from home expenditures accounted for more than 43.2 percent of food expenditures in 2019, plunged to 32.5 percent in 2020, and recovered to just over 36.5 percent in 2021. (See chart 4B.) The pattern continued in 2022, with food away from home accounting for 39.0 percent of all food dollars spent.

Table D. Diary Survey percent reporting for food expenditures, 2019–22
Type of food expenditure2019202020212022

Food, total

93.089.091.290.7

Food at home

85.381.182.781.9

Food away from home

74.460.264.865.9

Source: U.S. Bureau of Labor Statistics.

According to results of the Diary Survey, percent reporting changed within the underlying food categories. (See table D.) Note that 93.0 percent of consumer units reported a weekly food expenditure of some kind in 2019. This fell to 89.0 percent in 2020, rose to 91.2 in 2021, and fell to 90.7 in 2022. Again, the components are revealing, and follow the same pattern; percent reporting fell in 2020 and recovered partially, in 2021 and 2022. This pattern is most evident for food away from home; percent reporting fell from 74.4 to 60.2 in 2020, then rose to 64.8 in 2021 and 65.9 in 2022.16 Patterns for food away from home in 2020 and 2021 can best be explained by the pandemic. Restaurants were shuttered in 2020, constraining consumers to cooking at home. Continuing fears of COVID-19 depressed demand for food away from home in 2021. In regard to food at home, consumers adjusted their consumption schedules and may have engaged in bulk grocery purchases or more infrequent shopping trips in 2020. In 2021, supply chain issues developed, setting the scene for grocery price increases and lingering into 2022. Supply chain and other issues impacting food at home, such as diminished grain exports from Ukraine due to war, were further exacerbated by high inflation.17

Examining the effects of inflation on food at home

In 2021 and 2022, prices for food at home rose at an accelerated rate. (See table E.) While food at home rose at a lower rate (3.5 percent) than all goods and services (4.7 percent) in 2021, the rate for food at home (11.4 percent) substantially surpassed an already high rate for all goods and services (8.0 percent) in 2022.

Table E. Average over-the-year change in CPI for food and all items, 2019–22
CPI Change2019202020212022

Food, total

1.93.43.99.9

Food at home

0.93.53.511.4

Food away from home

3.13.44.57.7

All items

1.81.24.78.0

Source: U.S. Bureau of Labor Statistics.

Intriguingly, percent reporting for food at home did not change much from 2020 to 2022. Percent reporting experienced a small decline from 85.3 to 81.1 in 2020, likely due in part to consumers buying in bulk and taking fewer trips to the store amid the pandemic. Percent reporting then rose from 81.1 to 82.7 in 2021, before falling to 81.9 in 2022. These small differences may not be solely attributable to consumers taking fewer trips to the store, but to increased prices as well. Consumers likely found new and creative ways to combat this inflation in 2021 and 2022. For example, they may have made more careful use of their leftover food. Others may have shifted their expenditures to traditionally lower-cost foods that are both shelf-stable and able to feed a number of family members, such as small amounts of rice and pasta.

The figure for percent reporting rose in 2021 but fell again in 2022, which is consistent with this supposition. Nevertheless, it should not be considered conclusive or even strong evidence, as the differences are not tested for statistical significance.

Combining data from the CPI and CE yields interesting results from 2019 to 2022, particularly when specific food categories are studied. The integrated results of the CE Diary and Interview surveys typically include “food purchased by the consumer unit on out-of-town trips,” while CPI does not specifically collect data while on travel. The CE collects data from various outlets across the country; a consumer from City A may visit such an outlet while in City B and face different prices during their trip. Therefore, to be consistent with the CPI, food at home expenditures in the upcoming analysis are reported from the Diary Survey, rather than using the usual integrated results.

Expenditures for food at home rose from over $4,600 in 2019 to more than $5,700 in 2022, an increase of nearly 23 percent. (See table A.) Over the same period, the CPI for all goods and services rose by more than 15 percent, suggesting that consumers were buying more (or generally more expensive) groceries in 2022 than 2019.18 However, considering that prices for food at home rose by 19.3 percent from 2019 to 2022, consumers arguably had no choice but to shift to buying more expensive foods.

When examining selected components of food at home, it is immediately apparent that some expenditures rose faster than others in 2021 and 2022. (See table F1.) Specifically, this is true for items selected, both for their consistency with the basic food groups (Fruits, Vegetables, Grains, Protein Foods, and Dairy) as defined by the United States Department of Agriculture (USDA), and because these are categories for which CPI-U values are available, allowing examination of their price changes.

Intriguingly, some food at home categories exhibited their largest increases in 2020, after the onset of the COVID-19 pandemic. (See table F2.) The largest expenditure changes came in eggs (10.3 percent) and in cereals and bakery products (9.8 percent). At the same time, prices for these goods increased modestly, by 4.3 percent for eggs and by 2.2 percent for cereals and bakery products. (See table F3.) All categories, except for milk, experienced larger percent increases in expenditures than in prices in 2020, showing that the quantity purchased for key food at home items increased as well. Again, this is consistent with shifting expenditures from food away from home to food at home.

Table F1. Average annual food expenditures by selected food at home categories, 2018–22
Spending category20182019202020212022

Fresh vegetables

$283$295$310$328$353

Fresh fruits

318322349378406

Meats, poultry, and fish

897922100610471129

Cereals and bakery products

569583640672712

Milk, all types

116112110120128

Eggs

6458646887

Source: U.S. Bureau of Labor Statistics

 Table F2. Percent change in average annual food expenditures by selected food at home categories, 2018–22
Spending category2018–192019–202020–212021–22

Fresh vegetables

4.25.15.87.5

Fresh fruits

1.38.48.37.4

Meats, poultry, and fish

2.89.14.17.8

Cereals and bakery products

2.59.85.05.9

Milk, all types

-3.4-1.89.16.7

Eggs

-9.410.36.327.7

Source: U.S. Bureau of Labor Statistics.

 Table F3. Percent change in CPI by selected food at home categories, 2018–22
CPI category2018–192019–202020–212021–22

Fresh vegetables

3.82.61.17.0

Fresh fruits

-1.4-0.85.57.9

Meats, poultry, and fish

1.06.36.89.6

Cereals and bakery products

1.42.22.313.0

Milk

2.75.53.414.0

Eggs

-10.04.34.532.2

Source: Bureau of Labor Statistics.

As the pandemic continued, expenditures in these food at home categories continued to increase, likely due to inflation reaching historic levels in 2022. Of note is the increase in expenditures for eggs, rising by 27.7 percent in 2022. At the same time, egg prices rose by 32.2 percent. Because egg prices rose faster than egg expenditures, it is possible that consumers purchased fewer eggs in 2022, while paying more overall for eggs they did purchase during the year.

Comparing spending on food at and away from home by income quintile

Although examining total food expenditures by quintile may have its merits, this is a case where the total is less than the sum of its parts. In other words, examining the two components— food at home and food away from home—separately is far more interesting.

Expenditures on food at home increased each year in every quintile except the third from 2019 to 2022. For the third income quintile, expenditures decreased from 2019 to 2022. Given the closure of restaurants and other venues where one might purchase food away from home, it makes sense that consumers in most quintiles spent more at grocery stores and other venues included in the food at home category. However, once venues away from home started to reopen, why did food at home expenditures increase, rather than decrease or stay the same? The likely reason is inflation. Prices for food at home rose substantially in 2021 (3.5 percent) and even more so in 2022 (11.4 percent), meaning that even purchasing the same quantity of groceries as in 2020 would result in higher expenditures. Additionally, even if the percentage increase in prices was higher than the percentage decrease in groceries purchased (as more consumers returned to purchasing food away from home), expenditures would still be higher in 2021 and 2022 than in 2020.

Examining food away from home more closely, expenditures were lower in 2022 for the lowest income quintile (-8.9 percent) and third quintile (-1.8 percent) than in 2019, but higher in the fourth quintile (10.1 percent), highest quintile (4.8 percent), and second quintile (1.9 percent). (See table G.) More generally, expenditures were substantially lower in 2022 than 2019 for the lowest income quintile, about the same for the second and third quintiles, and noticeably higher for the fourth and highest income quintiles. This allows one to understand how inflation may impact whether consumers choose to purchase food at home or food away from home. Members of the lowest quintile have the most budget constraints. Regardless of inflation, they must purchase food and will undoubtedly shop at the lowest cost alternative (i.e., grocery stores and similar places) for the food they need. If basic goods have substantially risen in price, these consumers have less money to spend at restaurants. As a result, they may purchase even more food from grocery stores than they would have in the absence of inflation—or they may apply the money they would have paid to restaurants to other basic goods and services that have also experienced price increases, such as rent, utilities, and apparel and services.

Table G. Percent change in annual average food expenditures by income quintile, 2019–22 
Spending categoryLowestSecondThirdFourthHighest

Food, total

15.711.614.019.012.3

Food at home

29.917.424.925.619.5

Food away from home

-8.91.9-1.810.14.8

Source: Bureau of Labor Statistics.

What did consumers spend on housing in 2022?

Like food, housing is largely a dichotomous topic. People must decide whether they want to rent or own their dwelling. Their choice is, among many other factors, influenced by prevailing interest rates for a mortgage and the overall level of housing prices. The onset of the pandemic had a strong impact on economic activity and behavior, heavily influencing the housing market and, by extension, a CU’s decision to rent or buy.

Comparing renting and homeownership rates in 2022

After reaching a decade high of 66 percent at the beginning of the COVID-19 pandemic (2020) and declining by 1 percent in 2021, homeownership rates remained stable at 65 percent in 2022. (See chart 5.) The corresponding rental rate remained at 35 percent, maintaining its average for the time series from 2004 to 2022. Rising mortgage rates leading to higher mortgage payments, as well as sluggish growth in new housing supply, could be responsible for the continual crowding out of first time homebuyers. In turn, CUs in the lowest age brackets were forced to remain in the rental market. Shelter prices rose by 5.9 percent on an annual basis, up from the 2.7 percent average in 2021, and further compounding these issues.

Homeownership and rent spending by region

The year 2022 could be characterized by lingering effects of the COVID-19 pandemic, including remote work postures, population shifts away from coasts, sustained low housing inventory, and high interest rates.19 These factors have caused housing demands to change noticeably across the country, while rising housing prices and mortgage payments have severely limited consumer budgets.

In general, it was more costly to rent than own in 2022. Examining a group of selected MSAs, average CU rental expenditures were much higher than average mortgage payments for all MSAs except for San Francisco.20 (See chart 6A.) The difference between rental expenditures ($18,455 or $1,538 per month) and mortgage payments ($9,027 or $752 per month) was largest in the Miami MSA. In this case, being a renter was more than twice as costly as being a homeowner.

Living in the San Francisco MSA was the most costly for both renters and homeowners—in 2022, the average renter paid $23,493 (or $1,958 per month), while homeowners paid $24,665 (or $2,055 per month). The Chicago MSA had the lowest rental expenditures ($12,027 or $1,002 per month), while the Miami MSA had the lowest mortgage payments ($9,027 or $752 per month).

There was a mixture of rising and falling rental rates across the selected MSAs in 2022. (See chart 6B.) Rental expenditures in the Chicago and San Francisco MSAs fell by 12.9 and 11.5 percent from their 2021 levels, respectively. Population losses in these two MSAs could be responsible for these declines.21 However, expenditures in the other MSAs grew. The Phoenix and Miami MSAs saw the largest increases in rental expenditures, by 24.7 percent and 14.4 percent, respectively.

Although rental expenditures were nominally higher than mortgage payments, mortgage payments increased by much more than rental expenditures did in 2022. The Dallas MSA saw the greatest difference between mortgage payment (47.2 percent) and rental expenditure (4.5 percent) increases. The Dallas MSA’s recent population growth of 2.2 percent may have contributed to this difference.22

Comparing utilities expenditures of urban and rural consumers

Aside from the actual purchase of a house and keeping up with monthly mortgage payments, one of the most important bills consumers spend money on is utilities. Whether it be natural gas, electricity, or home heating and fuel oils—the lights must be kept on; key appliances must function; and when the seasons dictate, the air conditioner or heating system must be run. Recent spikes in utility prices make meeting these basic needs more difficult. Household energy prices rose by over 17 percent and electricity prices rose by over 13 percent in 2022. This inflation could prompt demographic groups who spend a greater share on utilities to alter their budget allocation for other expenditures. So, how do utilities spending patterns differ between urban and rural CUs? What characteristics or lifestyle choices can influence heterogeneity in utilities demand among urban and rural CUs?

Charts 7A and 7B show average annual expenditures for three selected utilities that are essential to urban and rural CUs in powering homes, appliances, and heating and cooling systems: natural gas, electricity, and fuel oil and other fuel oils.23 Natural gas spending fluctuated within a $30 range until 2021, when spending increased rapidly by over $90 (20 percent) to $552 for urban CUs. Rural CU expenditures also grew at a pronounced rate in 2022 after increasing modestly from 2019 to 2021, but were lower than urban CU expenditure levels, at $317. The average price of natural gas per million British thermal units (BTU) rose by 64.2 percent in 2022, undoubtedly influencing the rise in spending for both urban and rural CUs.24

This acute price growth may have led rural consumers to substitute fuel oils for natural gas to heat their homes. Examining the selected expenditures of natural gas, electricity, and fuel oils as a share of their summed values, the share of rural fuel oil spending grew by 1.3 percent in 2022, compared with 0.8 percent for natural gas. In general, fuel oils were in more abundant supply outside of urban centers and MSAs. This was especially true in the Northeast, where prior regulatory policy and price controls targeting natural gas shaped consumer demand for fuel oils.25 The relative abundance in fuel oils meant a more cost-effective method to heat homes in rural areas, which are an average 30 percent larger than urban homes.26 A larger housing footprint for rural consumers also influenced their higher electricity consumption and spending ($1,856 per year) compared with their urban counterparts ($1,670 per year) as shown in charts 7A and 7B. Electricity expenditures have risen every year from 2019 to 2022 for both urban and rural consumers. On the other hand, expenditure shares for electricity peaked in 2020 as individuals spent more time at home due to stay-at-home orders, maximum telework postures, and other COVID-19 pandemic restrictions imposed by state and local governments. Between April 2020 and July 2020 alone, residential electricity usage was up by 10 percent, and Americans spent an excess of $6.0 billion on at-home power consumption.27

Spending on new and used vehicles in 2022

The purchase of a car is one of the most consequential decisions a CU can make, aside from purchasing a new home or renting an apartment. Car and truck prices continued to rise sharply in 2022, continuing a trend from 2021, due to ongoing supply chain issues and microchip shortages.28 While growth in used car prices more than halved from 26.6 percent in 2021 to 12.7 percent in 2022, growth in new car prices nearly doubled from 5.9 to 10.4 percent. The growth in new car prices made purchasing a new vehicle the most expensive in recent history, according to Kelly Blue Book (KBB).29 The microchip shortage discussed in “Consumer Expenditures in 2021” persisted in 2022, keeping new car inventory and sales depressed. As a result, CUs would presumably favor the used car market over the new car market. Higher borrowing costs would also place upward pressure on monthly payments for both new and used vehicles. CUs could choose to delay car purchases, thus weakening demand and preventing prices from rising higher. So, how did CUs adjust their spending habits for new and used cars and trucks amid climbing prices, limited inventories, and a shifting market landscape?

In 2022, persisting supply constraints and increasing interest rates led to considerable increases in auto loan rates.30  Chart 8A shows mean quarterly expenditures for CUs who purchased at least one new car or truck from 2019 to 2022.31 While new car and truck expenditures declined by $586 in 2022, percent reporting for new cars and trucks was essentially unchanged. Some CUs chose to forgo new car and truck purchases for another year, while CUs with more disposable income absorbed the higher prices and purchased new cars and trucks. Percent reporting declined for new trucks in 2022, while mean quarterly expenditures for new trucks declined slightly from $43,670 to $40,152—but remained over $7,000 above 2019 levels. However, percent reporting rose for new cars in 2022, resulting in a slightly larger sample of new car purchasers and an increase in mean quarterly expenditures for new cars of $7,076. With gasoline prices up by another 31.7 percent in 2022, CUs who purchased a new vehicle may have substituted the more fuel-efficient choice of cars relative to trucks.32 The opposing forces of supply and demand have likely led to an imbalance in the new vehicle market. The supply of domestic auto inventory fell to its lowest level in history in 2022.33 With recent declines in supply likely due to supply chain constraints, as well as declining demand likely due to high borrowing costs, mean expenditures for CUs who purchased new cars or trucks remained high over the year.

Chart 8B shows mean quarterly expenditures for CUs who purchased at least one used car or truck from 2019 to 2022. Low inventory in the new car and truck market kept demand for used vehicles elevated in 2022, causing expenditures to climb beyond 2021 levels. Mean quarterly expenditures for CUs who purchased a used car or truck in 2022 were $17,117—$1,110 higher than 2021 and $3,834 higher than 2019. Mean quarterly expenditures for CUs who purchased a used car also increased in 2022, while expenditures for CUs who purchased a used truck declined slightly. With elevated borrowing costs in 2022, the expectation is that consumer demand would fall. As a result, CUs would likely delay the purchase of their next automobile to allow the market to return to equilibrium, unless consumer demand for vehicles is inelastic enough to absorb the price shock. This effect is reflected in used car and truck percent reporting data, which fell by almost three quarters of one percentage point in 2022 and accounted for higher used car and truck demand. The percent reporting for used cars and used trucks also each separately declined over the year as sedan, pickup truck, and SUV prices are 41-42 percent higher than before the COVID-19 pandemic.34

High gasoline prices influence spending in 2022

At the onset of the year, 2022 was poised to be a majority return to prepandemic driving conditions. Fears tied to the COVID-19 pandemic were waning, the domestic labor force was gradually reducing their telework postures and returning to in-person office work, and families were once again ready to hit the open road.35 Consumers had endured a 39.7-percent increase in gasoline prices in 2021, as prices climbed from the half-decade low of $2.24 per gallon in 2020 to $3.13 in 2021. (See chart 9A.) However, the average price of a gallon of gasoline continued to increase to $4.19 in 2022, 49 cents higher than the previous maximum in the time series of $3.70 in 2012. With higher gasoline prices tied to higher driving demand and geopolitical tensions, gasoline spending and prices rose 45.4 and 31.7 percent in 2022, respectively, as measured by CE and the CPI.36 (See chart 9B.)

Just like any other good or service, two factors determine total expenditures for gasoline: the price of the good and the quantity purchased. All else equal, an increase in the price of gasoline per gallon, such as the $1.06 rise in 2022, will result in higher gasoline expenditures. To understand this, consider the equation G=P × Q, where G is total gasoline expenditures, P is the price per gallon, and Q is the quantity of gallons purchased. Analyzing chart 9B alone, one cannot definitively state whether the rise in gasoline expenditures was caused by a change in price, in quantity purchased, or a mixture of the two. Further, note that expenditures could rise due to an increase in price, even if quantity purchased declines in response to that increase, if prices rise by a larger percentage than quantities purchased decline.

One method for delineating whether changes in expenditures were influenced by price or quantity is by analyzing the price elasticity of demand for a good. Price elasticity of demand is a measure of how much consumers change the amount of a good they buy when the price of that good changes. Price elasticity of demand can be influenced by factors such as the percentage of total expenditures for which a good (gasoline in this case) accounts, how many close substitutes exist for the good, and whether the prices of the substitutes for the good of interest are higher or lower than the new price of the good of interest. For instance, if the price elasticity of demand for gasoline was more elastic and gasoline prices increased, if people see that it is cheaper for them to take alternative modes of transportation (like public transportation or use ride-sharing apps), they may substitute gasoline for one of those modes of transportation instead. Price elasticity of demand in this case is the responsiveness, in terms of how much less gasoline people buy when gasoline prices rise.

Regardless of reason, both prices and quantities can drive spending behavior. The amount of total expenditures directly depends on the magnitude of each respective change. Price can rise, quantity consumed can fall, and expenditures can still rise if the percent price increase is larger than the percent quantity decrease. This also works in the reverse fashion; prices can fall, and expenditures can rise, when the percent increase in quantity purchased is larger than the percent decrease in prices. However, in 2022, it was evident that both the price of gasoline and the quantity purchased were moving concurrently, although at varying magnitudes. Prices increased by over $1.00 per gallon, while quantity purchased increased slightly by about 1 gallon per week (indicating relative inelasticity of gasoline with respect to price).

To analyze this concept graphically, chart 9B shows the percent change in gasoline spending and the CPI-U for gasoline from 2008 to 2022. Chart 9A shows the average annual gasoline prices and weekly gallons of gasoline purchased, also from 2008 to 2022. Weekly quantity of gallons of gasoline are computed by first taking CE estimates for total gasoline expenditures, dividing that value by average price data for gasoline from the CPI, and then dividing by 52 to get a weekly estimate. Presenting quantity in a weekly figure provides a more realistic model of the frequency in which consumers fill their tanks: on a weekly and not annual basis. In addition, note that BLS produces price indexes and average price estimates strictly for urban consumers, so charts 9A and 9B strictly capture urban expenditure data. Furthermore, CPI average price estimates strictly capture gasoline and not motor oil or other fuel prices. CE table estimates do capture motor oil and other fuels. Therefore, CE gasoline data are extracted from the detailed level type of area tables (unpublished, but available on request) described in the technical notes section of the report (See section titled, “Detailed tables, 1984–22.”)

To obtain the most detailed explanation of gasoline spending patterns from 2008 (the first full year of the recession denoted by the National Bureau of Economic Research [NBER] as having occurred from December 2007 through June 2009) to 2022 (where the U.S. recorded its highest annual change in inflation in 40 years), charts 9A and 9B can be analyzed in conjunction.37 The underlying variables of chart 9A determines the dynamics of chart 9B. As previously stated, gasoline prices and expenditures both noticeably rose, by a respective 31.7 and 45.4 percent. (See chart 9B.) This increase in prices was bolstered by a concurrent increase in the quantity of gallons purchased by 0.98 gallons per week in 2022. The quantity of gallons purchased per week returned to near identical levels with 2020, although 2020 had been especially influenced by imposed lockdown orders that caused lower driving demand. Telework rates in 2022 also declined to 34 percent, as more individuals began commuting to their workplaces once again.38

A key observation drawn from chart 9B is that the inflation rate for gasoline prices remained tremendously high, but still decelerated from 2021 to 2022. This deceleration can be attributed to two factors. First, an over-the-year price increase higher than the extreme 36-percent increase seen in 2021 would have been necessary in 2022 for there to be an acceleration in trend. Since gasoline prices fell from a peak of $5.15 per gallon in June 2022 to $3.50 per gallon in December 2022, the potential over-the-year increase for 2022 was weakened. Second, growth in expenditures outpaced growth in prices for the first time since 2012, when expenditures rose by 3.9 percent and prices rose by 3.3 percent.

Examining other years, gasoline expenditures fell by considerably less than gasoline prices in 2015. This decline in expenditures was primarily driven by changes in price rather than changes in quantity. In 2015, the United States was in the middle of a decade-long economic expansion, and gasoline prices fell by 27.2 percent. Consumers purchased over two additional gallons per week in 2015 compared with 2022, but spent less overall. In 2017, growth in expenditures severely lagged prices and the quantity of weekly gallons purchased fell, with expenditures rising by 3.1 percent and prices rising by 13.1 percent. Thus, in both 2015 and 2017, consumers adjusted their gasoline spending based mainly on changes in price rather than changes in quantity.

Abrupt changes to entertainment expenditures in 2022

The year 2022 marked an abrupt change in entertainment spending patterns. Entertainment expenditures declined by 3.1 percent, a sharp contrast to the 22.7-percent gain in 2021. (See table A.) Chart 10A shows that audio and visual equipment and services was the entertainment category with the highest average expenditures in 2022, at over $1,000 for the average CU. Pets, toys, hobbies, and playground equipment was the second highest entertainment category, at slightly over $900 spent annually for the average CU.

Entertainment was the only major CE expenditure category that fell in 2022, slightly offsetting a 2021 surge in expenditures that resulted from substantially pent-up demand to attend sporting events, concerts, and other recreational activities that were constrained by the COVID-19 pandemic in 2020. (See chart 1.) The 2022 weakness in entertainment expenditures was driven by declines in the subcategories of other entertainment, supplies, equipment, and services (-24.5 percent); and pets, toys, hobbies, and playground equipment (-6.3 percent). Chart 10B shows that the photographic equipment, supplies, and services subcategory grew by a considerable 29.5 percent; however, the category is the smallest in terms of spending, so it had minimal impact on total entertainment expenditures. As CUs continued attending more concerts, shows, and movies in 2022, fees and admissions expenditures increased by an additional 27.4 percent following the sharp 54.0-percent increase in 2021 from the sharp decline in 2020. Although CUs spent the most on audio and visual equipment and services in 2022, expenditures in the category were virtually unchanged from 2021 levels.

After the onset of the COVID-19 pandemic, many people acquired pets because they had more time at home and more free time due to stay-at-home orders and increased telework postures. As a result, the pet-related subcategories under the pets, toys, hobbies, and playground equipment expenditure category increased over 2020 and 2021. (See table H.) However, the pandemic trend of pet acquisition may be slowing down or declining, as spending for some of these subcategories declined in 2022. For example, expenditures for veterinary services increased in 2021 (10.3 percent), but decreased in 2022 (-26.3 percent). Pet purchase, supplies, and medicine expenditures also increased sharply by 54.3 percent in 2021 but declined by 8.2 percent in 2022. In contrast, pet services (35.3 percent) and pet food (11.9 percent) both increased in 2022. Since pet services includes expenditures for boarding pets for travel, that increase was consistent with increases in travel expenditures.

Table H. Percent change in pets, toys, hobbies, and playground equipment expenditures, 2019–22 
Type of pet expenditure2019–202020–212021–22

Pet food

18.67-7.9511.88

Pet purchase, supplies, medicine

-9.1554.26-8.17

Pet services

-19.4629.7035.34

Vet services

-4.3810.27-26.27

Toys, games, arts and crafts, and tricycles

18.4917.44-13.49

Playground equipment

177.53-1.89-48.14

Source: U.S. Bureau of Labor Statistics.

Within pets, toys, hobbies, and playground equipment, the largest expenditures came in playground equipment in 2022. During the pandemic lockdowns, consumers made substantial purchases in backyard playsets, swings, and other outdoor playground equipment to keep their children entertained while staying at home. As a result, playground equipment expenditures skyrocketed by a record 177.5 percent in 2020. In contrast, playground equipment expenditures declined by 48.1 percent in 2022. Demand has likely fallen due to a large number of consumers purchasing playground equipment in 2020 and 2021, thus leading to a smaller pool of consumers wanting to make new purchases in 2022.

Expenditures soared in other entertainment, supplies, equipment, and services in 2020 and 2021, including in docking fees, vehicle rentals, athletic gear, and bicycles.39 (See table I.) During these years, many people felt comfortable engaging in outdoor activities because they were able to easily maintain social distance from other participants while doing so. In 2022, expenditure subcategories in other entertainment, supplies, equipment, and services declined as pandemic restrictions loosened and people felt more comfortable participating in indoor activities once again. Interestingly, winter sports equipment expenditures increased by 61.2 percent in 2022, after changing little over 2020 and 2021.

 Table I. Percent change in other entertainment supplies, equipment, and services expenditures, 2019–22
Type of entertainment expenditure2019–202020–212021–22

Rental of recreational vehicles

-24.55125.74-9.43

Boat and trailer rental out-of-town trips

11.3187.43-28.96

Rental of other vehicles on out-of-town trips

-32.96120.6210.84

Docking and landing fees

112.9014.191.12

Sports, recreation, and exercise equipment

26.7147.46-22.80

Athletic gear, game tables, and exercise equipment

32.03110.47-28.16

Bicycles

70.6137.907.98

Camping equipment

-37.5916.40-4.92

Hunting and fishing equipment

41.9810.12-47.88

Winter sports equipment

-10.3712.0461.16

Water sports equipment

33.06-2.89-26.76

Other sports equipment

17.358.07-21.49

Rental and repair of miscellaneous sports equipment

1.8310.36-27.76

Source: U.S. Bureau of Labor Statistics.

Travel expenditures see large increases in 2022 after 2 years of lower spending

With the onset of the COVID-19 pandemic, consumer expenditures allocated to out-of-town trips declined by 56 percent in 2020, falling from $2,100 to $926. (See table J.) Despite a rise of 95 percent in 2021 to $1,803, they were still 14 percent lower in 2021 than in 2019. At the height of the COVID-19 pandemic, in 2020, four of the five major components of spending on out-of-town trips (food, alcohol, lodging, and entertainment) declined between 49 and 54 percent. However, the transportation component was the hardest hit, falling 65 percent in 2020. Similarly, transportation on out-of-town trips recovered least in 2021, with expenditures ($597) 30 percent lower in that year than in 2019. Expenditures for the remaining subcategories remained 2 to 7 percent lower in 2021 than in 2019. The exception was entertainment on trips, for which expenditures were 2.4 percent higher in 2021 than in 2019.

By 2022, however, all major travel expenditure categories surpassed 2019 levels. In percentage terms, total travel expenditures were 27 percent higher in 2022 than 2019. Among the components, transportation on trips grew the least from 2019 to 2022 (20 percent), while lodging on trips grew the most (35 percent).

Table J. Allocation of out-of-town trip expenditures, 2019–22
Item2019202020212022

Travel, total, component shares

$2,100$926$1,803$2,671

Food on trips

423208394540

Alcohol on trips

70356693

Lodging on trips

619318604837

Transportation on trips

8493005971022

Entertainment on trips

13964142180

Source: U.S. Bureau of Labor Statistics.

Regardless, the allocation of dollars spent within the travel category varied little from 2019 to 2022. The two exceptions were the subcategories of lodging and transportation. (See chart 11A.) In 2019, lodging accounted for about $3 out of $10 spent on travel, while transportation accounted for about $4 out of $10 spent on travel. In 2020, the share for lodging rose, while the share for transportation fell, with both categories accounting for about $1 in $3 spent on travel. In 2021, this allocation was nearly unchanged. In 2022, both lodging and transportation shares increased. The lodging share grew slightly above its prepandemic level and accounted for about $3 in $10 spent on travel, while the transportation share grew closer to its prepandemic level and accounted for slightly less than $4 in $10 spent on travel.

 

In general, travel expenditures consist of many subcategories for which percent reporting is individually available upon request. However, for the aggregate categories, no such value is available. Nevertheless, the subcategories of nearly all travel expenditures follow the same pattern: percent reporting plunged in 2020, started to recover in 2021, and nearly returned to 2019 levels in 2022. Chart 11B shows this pattern in percent reporting for the airline fares subcategory, which accounted for 59 percent of transportation on trip expenditures and 23 percent of total travel expenditures in 2022.

Intriguingly, the increase in travel expenditures from 2019 to 2022 is not merely due to price increases as tracked by the CPI. Adjusting expenditures in 2019 to real 2022 dollars (the amount of purchasing power the consumer would have to forego in 2022 to make the same purchase in 2019) shows that travel expenditures were still higher in 2022 than in 2019. That is, the $2,100 nominal dollars spent on travel in 2019 convert to $2,403 real dollars in 2022, with 2022 prices being approximately 14.5 percent higher. Thus, in real 2022 dollars, expenditures for travel ($2,671) were 11 percent higher than in 2019 ($2,403), ranging from a 5-percent increase for transportation to an 18-percent increase for lodging. Note that this does not necessarily mean consumers were buying more lodging or transportation in 2022 than in 2019—prices for these commodities may have simply risen faster than other prices. Percent reporting was similar for most travel components in 2019 and 2022, which is also consistent with the hypothesis that prices for travel expenditures rose faster than those for other expenditures.

Notes

1 The 9.1-percent increase reflects the over-the-year percent change in the not seasonally adjusted CPI-U, U.S. city average, all items, for base period 1982-84=100. For detailed information on the recent peak growth of inflation, please see the June 2022 Consumer Price Index news release: https://www.bls.gov/news.release/archives/cpi_07132022.pdf. To access CPI data, see Consumer Price Index (CPI) Databases (U.S. Bureau of Labor Statistics), https://www.bls.gov/cpi/data.htm.

2 Unlike real dollar expenditures, nominal dollar expenditures are not adjusted for price change over time but reflect prices at the time of purchase. The terms “nominal” and “real” are identical to the terms “current” and “constant,” which are also used to describe expenditures, incomes, or other items denominated in dollar terms.

3 A consumer unit consists of either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions.

The reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined.

4 See Connor D. Wolf, “Driver Shortage Decreases Slightly to 78,000, ATA Says,” Transport Topics, October 25, 2022, https://www.ttnews.com/articles/driver-shortage-decreases-slightly-78000-ata-says and “Six key trends impacting global supply chains in 2022,” KPMG International, https://kpmg.com/xx/en/home/insights/2021/12/six-key-trends-impacting-global-supply-chains-in-2022.html#.

5 See “Coronavirus (COVID-19) Update: FDA Authorizes First Oral Antiviral for Treatment of COVID-19,” U.S. Food and Drug Administration, December 22, 2021, https://www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-authorizes-first-oral-antiviral-treatment-covid-19.

6 For additional information on income dynamics from 2018 to 2021, please see “Consumer Expenditures in 2021,” BLS Reports (January 2023), https://www.bls.gov/opub/reports/consumer-expenditures/2021/home.htm.

7 For further insight on refining capacity and key terms, please see "U.S. refinery capacity decreased during 2021 for second consecutive year," U.S. Energy Information Administration, June 29, 2022, https://www.eia.gov/todayinenergy/detail.php?id=52939 and “Definitions, Sources, and Explanatory Notes,” U.S. Energy Information Administration, https://www.eia.gov/dnav/pet/TblDefs/pet_pnp_unc_tbldef2.asp.

8 See “30-Year Fixed Rate Mortgage Average in the United States,” FRED Economic Data (Federal Reserve Bank of St. Louis, updated October 19, 2023), https://fred.stlouisfed.org/series/MORTGAGE30US.

9 See “Median Sales Price of Houses Sold for the United States,” FRED Economic Data (Federal Reserve Bank of St. Louis, updated October 19, 2023), https://fred.stlouisfed.org/series/MSPUS.

10 For additional information on the tenuous situation with elective surgeries through summer 2022, please see Tracy Hampton, “Surgeries fail to return to pre-pandemic levels,” The Harvard Gazette, August 23, 2022, https://news.harvard.edu/gazette/story/2022/08/surgical-procedures-havent-recovered-from-covid/.

11 The concept of relative shares depicts each expenditure as an allotment of cents to the next dollar of total expenditures. For example, if the relative share for transportation expenditures is 16.8 percent, then 16.8 cents of the next dollar of total expenditures are given to consumption and spending on transportation.

12 Income quintiles are constructed by sorting consumer units in the sample from lowest to highest income before taxes. The population weight (i.e., the number of consumer units within the population that each sampled unit represents) associated with each consumer is summed with those of the consumer units preceding it in the sorted set, resulting in a cumulative frequency count. The first quintile includes all consumer units for which the cumulative frequency count is less than or equal to 20 percent of the number of consumer units in the population. The second quintile includes all those consumer units for which the cumulative frequency count is greater than 20 percent, but less than or equal to 40 percent of the population, and so forth. Because there were approximately 134 million consumer units in the population in 2022, each quintile includes over 26 million consumer units. In 2022, the lower income bounds for each quintile were: $25,807 for the second quintile; $50,092 for the third quintile; $83,696 for the fourth quintile; and $140,363 for the highest quintile.

13 Additional information showing the lack of stimulus payments in 2022 can be found here: https://www.bls.gov/cex/tables/calendar-year/mean/cu-all-detail-2022.pdf

14 Additional information on the breakdown of income dynamics can be found in CE’s detailed level tables (available upon request). For information on the Social Security benefits increase in 2022, please see Darlynda Bogle, “Social Security Benefits Increase in 2022,” Social Security Administration, October 13, 2021, https://blog.ssa.gov/social-security-benefits-increase-in-2022/.

15 Cash contributions spending for the second income quintile is suppressed on CE tables due to having a relative standard error (RSE) greater than or equal to 25 percent. This value is not suppressed for production purposes. For additional information on suppression criteria, please see: https://www.bls.gov/cex/tables-getting-started-guide.htm#section5

16 The percent reporting data are taken from the Diary Survey. While most items included in either food at home or food away from home are taken from the Diary Survey, there is one item included in food at home that is derived from the Interview Survey: Food prepared by consumer units on out-of-town trips. However, pandemic or not, these expenditures are both small in value (ranging from $50 to $69 annually in this period) and percent reporting (ranging from 8 to 12 percent quarterly in this period). The percent reporting data shown above represent what happened “in one’s own neighborhood,” rather than out of town.

17 For additional information on how grain exports were affected by the war in Ukraine, please see Christian Bogmans, Andrea Pescatori, and Ervin Prifti, “Global Food Prices to Remain Elevated Amid War, Costly Energy, La Niña,” IMF Blog, International Monetary Fund, December 9, 2022, https://www.imf.org/en/Blogs/Articles/2022/12/09/global-food-prices-to-remain-elevated-amid-war-costly-energy-la-nina.

18 To be clear, “more expensive” is meant in a relative sense here. If food prices rose (and they did) from 2019 to 2022, then, by definition, food was more expensive in 2022 than in 2019. But consider two specific food items: fresh salmon and rice. Regardless of year (at least, in this period), a consumer would expect to pay a lot more for one pound of fresh salmon than for one pound of rice. So, the idea in the text is that if grocery expenditures rose faster in this period than prices generally, it could be that consumers are buying more salmon and less rice. 

19 For information on the percent of employed persons who did some or all of their work at home in 2021 and 2022, please see the 2021 and 2022 American Time Use Survey (ATUS) news releases: https://www.bls.gov/news.release/archives/atus_06232022.htm and https://www.bls.gov/news.release/archives/atus_06222023.htm. For a map showing percent change in population by state from July 2021 to July 2022, please see “Percent Change in State Population: July 1, 2021 to July 1, 2022,” U.S. Census Bureau, December 22, 2022, https://www.census.gov/library/visualizations/2022/comm/percent-change-state-population.html. For time series data on housing inventory, please see “Housing Inventory: Active Listing Count in the United States,” FRED Economic Data (Federal Reserve Bank of St. Louis, updated October 24, 2023), https://fred.stlouisfed.org/series/ACTLISCOUUS.

20 In CE, reduction in mortgage principal is considered a negative liability, not a reduction in expenditures. For this report, mortgage interest and reductions in mortgage principal were added together to calculate mortgage estimates values.

21 See “Metropolitan and Micropolitan Statistical Areas Population Totals: 2020-2022,” U.S. Census Bureau, June 13, 2023, https://www.census.gov/data/tables/time-series/demo/popest/2020s-total-metro-and-micro-statistical-areas.html.

22 See ibid.

23 Expenditures data for natural gas, electricity, and fuel oil and other fuel oils are extracted from the utilities, fuels, and public services subsection of housing spending, which can be found in CE’s detailed level tables (available upon request).

24 See “Henry Hub Natural Gas Spot Price,” U.S. Energy Information Administration, October 25, 2023, https://www.eia.gov/dnav/ng/hist/rngwhhdm.htm.

25 For additional information on the Northeast’s history with utilizing home heating and fuel oils, please see Lucas Davis, “The Geography of Heating Oil and Propane,” Energy Institute Blog, Energy Institute at Haas, November 1, 2021, https://energyathaas.wordpress.com/2021/11/01/the-geography-of-heating-oil-and-propane/.

27 See Steve Cicala, “Powering Work from Home,” National Bureau of Economic Research, October 2020, https://www.nber.org/papers/w27937.

28 For information on recent supply chain issues and the persistence of the global microchip shortage in the 2022 car market, please see “Inflation and the auto industry: When will car prices drop?,” J.P. Morgan Chase & Co., February 22, 2023, https://www.jpmorgan.com/insights/economy/economy/when-will-car-prices-drop#.

29 See “Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average,” FRED Economic Data (Federal Reserve Bank of St. Louis, updated October 12, 2023), https://fred.stlouisfed.org/series/CUUR0000SETA01.

30 For information on historical auto loan rates, please see Dash Lewis, “Historical Auto Loan Rates,” MarketWatch, June 14, 2023, https://www.marketwatch.com/guides/car-loans/historical-auto-loan-rates/.

31 Charts 8A and 8B are constructed from data sourced from the Interview detailed level tables (available upon request). Data in the table is reported as average annual expenditures, where the reported number is often far below what the typical CU would pay for a car. This stems from the fact that cars are infrequently purchased (i.e. low percent reporting) and those CUs who did not purchase a car have their value entered in as a zero, driving down the average. To account for this, average annual expenditures are converted to average quarterly expenditures to reflect the quarterly waves of the Interview Survey. This number is then divided by percent reporting over 100. This reflects the mean quarterly expenditure for those CUs which purchased at least one car or truck. Percent reporting is the percentage of CUs who reported purchasing a product, in this case, a new or used car and truck. In addition, it is possible that a CU purchased more than one vehicle.

32 Trucks data also encompasses vans, minivans, and SUVs.

33 See “Domestic Auto Inventories,” FRED Economic Data (Federal Reserve Bank of St. Louis, updated October 6, 2023), https://fred.stlouisfed.org/series/AUINSA.

34 To see the time series data for used vehicle prices referenced above, please see: https://www.cargurus.com/Cars/price-trends/

36 For information on how geopolitical tensions and OPEC+ production cutbacks may have affected gasoline prices and expenditures, please see “Crude oil prices increased in first-half 2022 and declined in second-half 2022,” U.S. Energy Information Administration, January 4, 2023, https://www.eia.gov/todayinenergy/detail.php?id=55079#, and “OPEC+ announces new 1.66 mb/d crude oil production cuts,” Enerdata, April 4, 2023, https://www.enerdata.net/publications/daily-energy-news/opec-oil-production-cuts.html.

37 For information on how recessions are timed, i.e., from peak to trough in the business cycle, please visit the NBER data page on U.S. Business Cycle Expansions and Contractions at https://www.nber.org/research/data/us-business-cycle-expansions-and-contractions.

39 Other entertainment equipment and services includes indoor exercise equipment, athletic shoes, bicycles, trailers, purchase and rental of motorized campers and other recreational vehicles, camping equipment, hunting and fishing equipment, sports equipment (winter, water, and other), boats, boat motors and boat trailers, rental of boats, landing and docking fees, rental and repair of sports equipment, photographic equipment and supplies (film and film processing), photographer fees, repair and rental of photo equipment, fireworks, and pinball and electronic video games.

Statistical Tables

Table 1. Income before taxes: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Less than $15,000 $15,000 to $29,999 $30,000 to $39,999 $40,000 to $49,999 $50,000 to $69,999 $70,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 and more

Number of consumer units (in thousands) [1]

134,090 13,222 18,689 11,328 10,142 17,314 18,934 20,770 10,239 13,451

Consumer unit characteristics:

Income before taxes

$94,003 $7,624 $22,485 $34,988 $44,518 $59,200 $83,894 $121,806 $171,270 $322,568

Age of reference person

52.1 54.4 60.5 55.6 53.6 50.7 48.7 48.2 48.6 49.4

Average number in consumer unit:

People

2.4 1.6 1.7 2.1 2.2 2.4 2.7 2.9 3.2 3.2

Children under 18

.6 .3 .3 .5 .5 .5 .7 .7 .8 .8

Adults 65 and older

.4 .4 .6 .6 .6 .5 .4 .3 .3 .2

Earners

1.3 .4 .5 .8 1.0 1.3 1.6 1.9 2.1 2.1

Vehicles

1.9 .9 1.2 1.5 1.5 1.8 2.1 2.4 2.6 2.7

Percent homeowner

65 38 53 57 57 62 68 77 85 90

Average annual expenditures

$72,967 $31,066 $37,534 $45,424 $49,951 $57,942 $70,871 $89,354 $116,773 $167,088

Food

9,343 5,337 5,040 6,038 7,154 8,170 9,336 11,732 14,021 17,678

Food at home

5,703 3,885 3,477 4,042 4,640 5,285 6,000 6,941 7,964 9,136

Cereals and bakery products

712 463 446 509 553 674 755 860 985 1,151

Meats, poultry, fish, and eggs

1,216 900 761 832 1,067 1,224 1,323 1,454 1,507 1,811

Dairy products

532 349 331 398 448 483 557 672 704 834

Fruits and vegetables

1,099 754 653 782 868 990 1,107 1,349 1,603 1,839

Other food at home

2,144 1,420 1,286 1,522 1,703 1,915 2,258 2,606 3,165 3,501

Food away from home

3,639 1,452 1,563 1,995 2,514 2,885 3,336 4,790 6,057 8,542

Alcoholic beverages

583 233 240 285 346 457 496 787 1,049 1,439

Housing

24,298 12,816 14,429 17,442 19,487 20,553 23,523 28,337 35,588 49,709

Shelter

14,507 8,067 8,648 10,031 11,886 12,359 13,796 16,688 20,614 30,471

Owned dwellings

8,230 2,325 3,298 4,308 5,373 6,101 7,277 10,558 14,752 21,865

Rented dwellings

4,990 5,251 5,028 5,160 5,948 5,551 5,645 4,728 3,808 3,480

Other lodging

1,287 [2] 322 564 565 707 875 1,402 2,053 5,126

Utilities, fuels, and public services

4,549 2,605 3,199 3,820 4,062 4,292 4,735 5,420 6,102 6,860

Household operations

1,849 736 894 1,160 1,184 1,274 1,753 2,126 3,151 4,812

Housekeeping supplies

787 462 528 657 691 694 808 893 1,177 1,245

Household furnishings and equipment

2,606 946 1,161 1,774 1,664 1,934 2,430 3,210 4,544 6,320

Apparel and services

1,945 [2] 794 903 1,445 1,531 2,082 2,429 2,863 4,408

Transportation

12,295 4,556 5,949 8,093 8,535 9,705 12,888 16,215 21,190 24,764

Vehicle purchases (net outlay)

4,496 [2] 1,974 2,533 2,659 2,686 4,677 6,133 9,697 9,857

Gasoline, other fuels, and motor oil

3,120 1,514 1,733 2,314 2,520 3,063 3,524 4,103 4,485 4,701

Other vehicle expenses

3,834 1,545 1,969 2,801 2,912 3,434 4,069 5,003 5,659 7,229

Public and other transportation

845 289 274 445 444 521 617 977 1,349 2,976

Healthcare

5,850 2,722 4,035 4,544 4,477 5,748 6,152 7,099 7,764 9,885

Entertainment

3,458 1,164 1,401 2,145 1,871 2,768 3,402 3,946 6,349 8,856

Personal care products and services

866 383 432 561 656 779 915 1,038 1,429 1,686

Reading

117 46 86 59 103 100 116 112 215 238

Education

1,335 825 [2] 588 562 751 729 1,399 1,715 5,566

Tobacco products and smoking supplies

371 396 375 424 387 388 378 431 273 237

Miscellaneous

1,009 425 574 733 667 782 936 1,270 1,419 2,352

Cash contributions

2,755 588 [2] 1,433 1,315 1,586 2,094 2,278 4,470 8,874

Personal insurance and pensions

8,742 403 969 2,176 2,945 4,624 7,822 12,282 18,428 31,394

Life and other personal insurance

519 160 221 309 265 339 454 598 868 1,592

Pensions and Social Security

8,223 244 749 1,867 2,680 4,285 7,369 11,683 17,560 29,802

Footnotes

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 2. Quintiles of income before taxes: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Lowest 20 percent Second 20 percent Third 20 percent Fourth 20 percent Highest 20 percent

Number of consumer units (in thousands) [1]

134,090 26,860 26,830 26,698 26,893 26,810

Lower limit

[3] [3] $25,807 $50,092 $83,696 $140,363

Consumer unit characteristics:

Income before taxes

$94,003 $14,191 $37,441 $65,659 $108,730 $244,025

Age of reference person

52.1 57.7 55.2 50.1 48.4 49.0

Average number in consumer unit:

People

2.4 1.6 2.1 2.4 2.9 3.2

Children under 18

.6 .3 .4 .6 .7 .8

Adults 65 and older

.4 .5 .6 .4 .3 .2

Earners

1.3 .4 .9 1.3 1.8 2.1

Vehicles

1.9 1.0 1.5 1.9 2.3 2.6

Percent homeowner

65 45 57 63 74 87

Average annual expenditures

$72,967 $32,612 $47,657 $61,950 $81,957 $140,654

Food

9,343 5,090 6,539 8,555 10,804 15,713

Food at home

5,703 3,624 4,310 5,525 6,529 8,523

Cereals and bakery products

712 448 533 696 816 1,066

Meats, poultry, fish, and eggs

1,216 809 945 1,290 1,343 1,690

Dairy products

532 334 420 507 626 773

Fruits and vegetables

1,099 695 818 997 1,293 1,692

Other food at home

2,144 1,337 1,594 2,035 2,451 3,302

Food away from home

3,639 1,466 2,229 3,030 4,275 7,191

Alcoholic beverages

583 232 311 471 666 1,234

Housing

24,298 13,376 17,927 21,550 26,215 42,429

Shelter

14,507 8,201 10,619 12,895 15,359 25,466

Owned dwellings

8,230 2,748 4,590 6,441 9,154 18,218

Rented dwellings

4,990 5,066 5,496 5,695 4,982 3,716

Other lodging

1,287 388 533 759 1,222 3,532

Utilities, fuels, and public services

4,549 2,849 3,856 4,413 5,188 6,442

Household operations

1,849 794 1,149 1,445 1,945 3,914

Housekeeping supplies

787 494 642 748 835 1,215

Household furnishings and equipment

2,606 1,037 1,661 2,050 2,888 5,392

Apparel and services

1,945 904 1,216 1,719 2,270 3,611

Transportation

12,295 4,928 8,156 10,749 14,719 22,926

Vehicle purchases (net outlay)

4,496 1,416 2,612 3,404 5,327 9,722

Gasoline, other fuels, and motor oil

3,120 1,553 2,360 3,166 3,919 4,601

Other vehicle expenses

3,834 1,697 2,755 3,634 4,628 6,459

Public and other transportation

845 262 429 544 845 2,145

Healthcare

5,850 3,355 4,441 5,951 6,694 8,814

Entertainment

3,458 1,233 1,972 2,932 3,765 7,389

Personal care products and services

866 393 606 814 974 1,544

Reading

117 71 79 91 124 218

Education

1,335 652 507 660 1,180 3,678

Tobacco products and smoking supplies

371 374 415 374 418 276

Miscellaneous

1,009 501 673 803 1,187 1,878

Cash contributions

2,755 868 [2] 1,860 2,170 6,400

Personal insurance and pensions

8,742 636 2,338 5,423 10,771 24,543

Life and other personal insurance

519 187 278 391 523 1,218

Pensions and Social Security

8,223 449 2,060 5,032 10,248 23,325

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

[3] Not applicable.

Source: U.S. Bureau of Labor Statistics

Table 3. Deciles of income before taxes: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Lowest 10 percent Second 10 percent Third 10 percent Fourth 10 percent Fifth 10 percent Sixth 10 percent Seventh 10 percent Eighth 10 percent Ninth 10 percent Highest 10 percent

Number of consumer units (in thousands) [1]

134,090 13,454 13,406 13,296 13,535 13,329 13,370 13,494 13,399 13,424 13,386

Lower limit

[3] [3] $15,272 $25,807 $37,117 $50,091 $64,970 $83,695 $107,055 $140,361 $199,135

Consumer unit characteristics:

Income before taxes

$94,003 $7,769 $20,636 $31,496 $43,281 $57,225 $74,067 $95,163 $122,394 $165,297 $322,973

Age of reference person

52.1 54.6 61.0 56.7 53.8 51.0 49.3 48.2 48.5 48.5 49.5

Average number in consumer unit:

People

2.4 1.6 1.6 1.9 2.2 2.3 2.6 2.8 3.0 3.1 3.2

Children under 18

.6 .3 .3 .4 .5 .5 .6 .7 .7 .8 .9

Adults 65 and older

.4 .4 .6 .6 .6 .5 .4 .3 .3 .3 .2

Earners

1.3 .4 .5 .7 1.0 1.2 1.5 1.7 1.9 2.1 2.1

Vehicles

1.9 .9 1.1 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.7

Percent homeowner

65 38 52 55 58 61 66 70 78 84 90

Average annual expenditures

$72,967 $31,039 $34,192 $44,698 $50,578 $57,057 $66,831 $76,275 $87,675 $114,182 $167,200

Food

9,343 5,332 4,848 5,732 7,341 7,937 9,172 9,771 11,841 13,661 17,771

Food at home

5,703 3,873 3,374 3,897 4,721 5,125 5,925 6,024 7,036 7,887 9,160

Cereals and bakery products

712 460 437 501 565 649 743 752 879 984 1,149

Meats, poultry, fish, and eggs

1,216 900 718 815 1,075 1,145 1,434 1,243 1,443 1,571 1,810

Dairy products

532 343 325 390 450 481 533 572 681 712 834

Fruits and vegetables

1,099 745 645 758 879 965 1,029 1,178 1,409 1,547 1,838

Other food at home

2,144 1,426 1,249 1,434 1,753 1,885 2,185 2,279 2,624 3,074 3,530

Food away from home

3,639 1,458 1,474 1,836 2,619 2,812 3,247 3,747 4,804 5,774 8,610

Alcoholic beverages

583 236 228 276 346 451 491 563 770 1,033 1,436

Housing

24,298 12,814 13,939 16,421 19,406 20,447 22,650 24,729 27,711 35,091 49,788

Shelter

14,507 7,991 8,413 9,533 11,686 12,311 13,476 14,523 16,200 20,518 30,429

Owned dwellings

8,230 2,308 3,189 3,781 5,385 5,955 6,926 7,989 10,328 14,508 21,938

Rented dwellings

4,990 5,199 4,932 5,266 5,722 5,645 5,745 5,531 4,430 4,029 3,402

Other lodging

1,287 [2] 291 486 579 711 806 1,004 1,442 1,981 5,088

Utilities, fuels, and public services

4,549 2,615 3,083 3,637 4,071 4,283 4,542 4,955 5,423 5,991 6,894

Household operations

1,849 722 867 1,048 1,247 1,226 1,662 1,833 2,059 2,978 4,852

Housekeeping supplies

787 481 507 641 643 712 784 811 858 1,184 1,246

Household furnishings and equipment

2,606 1,006 1,069 1,561 1,759 1,914 2,185 2,606 3,170 4,419 6,367

Apparel and services

1,945 [2] 628 974 1,457 1,505 1,932 2,070 2,471 2,809 4,415

Transportation

12,295 4,536 5,321 7,647 8,655 9,582 11,911 14,346 15,094 21,283 24,574

Vehicle purchases (net outlay)

4,496 [2] 1,644 2,546 2,677 2,778 4,028 5,455 5,197 9,703 9,740

Gasoline, other fuels, and motor oil

3,120 1,515 1,591 2,179 2,539 2,955 3,376 3,780 4,060 4,514 4,689

Other vehicle expenses

3,834 1,546 1,848 2,540 2,966 3,348 3,919 4,358 4,899 5,698 7,222

Public and other transportation

845 287 238 383 474 501 588 753 937 1,369 2,923

Healthcare

5,850 2,723 3,990 4,298 4,582 5,776 6,125 6,206 7,185 7,672 9,960

Entertainment

3,458 1,168 1,297 1,845 2,097 2,729 3,135 3,635 3,895 5,942 8,840

Personal care products and services

866 384 403 555 657 752 876 956 993 1,409 1,679

Reading

117 60 82 58 101 105 77 151 98 201 235

Education

1,335 813 [2] 454 560 [2] 579 1,013 1,347 1,754 5,608

Tobacco products and smoking supplies

371 383 364 414 416 377 372 397 440 314 237

Miscellaneous

1,009 413 589 604 741 787 820 1,169 1,204 1,403 2,355

Cash contributions

2,755 594 [2] [2] 1,260 1,502 [2] 1,983 2,358 3,935 8,872

Personal insurance and pensions

8,742 403 869 1,704 2,960 4,366 6,476 9,284 12,268 17,675 31,431

Life and other personal insurance

519 157 216 218 336 336 445 461 585 820 1,617

Pensions and Social Security

8,223 246 653 1,487 2,624 4,029 6,031 8,823 11,683 16,855 29,813

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

[3] Not applicable.

Source: U.S. Bureau of Labor Statistics.

Table 4. Region of residence: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Northeast Midwest South West

Number of consumer units (in thousands) [1]

134,090 23,015 28,453 52,034 30,589

Consumer unit characteristics:

Income before taxes

$94,003 $108,768 $91,430 $83,346 $103,418

Age of reference person

52.1 52.8 52.5 52.0 51.4

Average number in consumer unit:

People

2.4 2.5 2.4 2.4 2.5

Children under 18

.6 .6 .5 .5 .6

Adults 65 and older

.4 .4 .4 .4 .4

Earners

1.3 1.3 1.3 1.2 1.4

Vehicles

1.9 1.7 2.0 1.8 2.0

Percent homeowner

65 62 71 67 59

Average annual expenditures

$72,967 $79,741 $69,870 $65,576 $83,317

Food

9,343 10,199 8,827 8,443 10,699

Food at home

5,703 6,303 5,559 5,135 6,342

Cereals and bakery products

712 825 703 622 786

Meats, poultry, fish, and eggs

1,216 1,325 1,148 1,149 1,308

Dairy products

532 615 523 460 599

Fruits and vegetables

1,099 1,294 1,040 916 1,317

Other food at home

2,144 2,244 2,146 1,988 2,333

Food away from home

3,639 3,896 3,268 3,309 4,357

Alcoholic beverages

583 679 591 506 634

Housing

24,298 27,433 21,907 21,494 28,938

Shelter

14,507 17,197 12,314 12,240 18,378

Owned dwellings

8,230 9,791 7,952 6,961 9,471

Rented dwellings

4,990 5,697 3,154 4,249 7,429

Other lodging

1,287 1,710 1,208 1,030 1,478

Utilities, fuels, and public services

4,549 4,829 4,534 4,481 4,468

Household operations

1,849 2,052 1,721 1,662 2,135

Housekeeping supplies

787 810 810 740 828

Household furnishings and equipment

2,606 2,544 2,528 2,371 3,127

Apparel and services

1,945 2,312 1,765 1,785 2,104

Transportation

12,295 12,093 11,912 11,932 13,420

Vehicle purchases (net outlay)

4,496 4,259 4,423 4,565 4,624

Gasoline, other fuels, and motor oil

3,120 2,631 3,012 3,187 3,472

Other vehicle expenses

3,834 4,005 3,764 3,579 4,206

Public and other transportation

845 1,198 712 601 1,119

Healthcare

5,850 6,069 6,569 5,376 5,828

Entertainment

3,458 3,509 3,701 2,831 4,262

Personal care products and services

866 979 842 768 971

Reading

117 152 109 80 160

Education

1,335 2,166 1,483 893 1,326

Tobacco products and smoking supplies

371 327 463 391 287

Miscellaneous

1,009 1,097 979 906 1,143

Cash contributions

2,755 2,732 1,910 2,750 [2]

Personal insurance and pensions

8,742 9,995 8,812 7,422 9,979

Life and other personal insurance

519 606 524 439 586

Pensions and Social Security

8,223 9,390 8,288 6,983 9,393

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 5. Population size of area of residence: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Outside urban area Urban consumer units
All urban consumer units Less than 100,000 100,000 to 249,999 250,000 to 999,999 1,000,000 to 2,499,999 2,500,000 to 4,999,999 5,000,000 and more

Number of consumer units (in thousands) [1]

134,090 25,556 108,534 15,153 8,570 30,181 17,625 16,905 20,100

Consumer unit characteristics:

Income before taxes

$94,003 $91,936 $94,490 $72,101 $74,449 $88,490 $95,644 $113,120 $112,244

Age of reference person

52.1 56.0 51.2 52.4 53.0 51.1 51.3 48.8 51.4

Average number in consumer unit:

People

2.4 2.5 2.4 2.4 2.3 2.4 2.4 2.5 2.6

Children under 18

.6 .6 .6 .6 .5 .5 .5 .6 .6

Adults 65 and older

.4 .6 .4 .4 .4 .4 .4 .3 .4

Earners

1.3 1.3 1.3 1.2 1.2 1.3 1.3 1.4 1.4

Vehicles

1.9 2.4 1.7 2.0 1.8 1.8 1.8 1.7 1.4

Percent homeowner

65 83 61 63 68 62 64 59 54

Average annual expenditures

$72,967 $70,750 $73,490 $60,488 $60,492 $69,741 $74,891 $87,270 $81,632

Food

9,343 8,941 9,438 7,846 9,075 9,139 9,550 9,998 10,652

Food at home

5,703 5,755 5,691 4,947 5,244 5,616 5,829 5,933 6,216

Cereals and bakery products

712 746 704 625 610 718 715 721 755

Meats, poultry, fish, and eggs

1,216 1,222 1,214 1,039 1,221 1,126 1,220 1,211 1,469

Dairy products

532 545 529 488 500 525 535 537 567

Fruits and vegetables

1,099 1,021 1,118 859 968 1,068 1,150 1,259 1,302

Other food at home

2,144 2,222 2,126 1,936 1,946 2,179 2,209 2,204 2,123

Food away from home

3,639 3,185 3,746 2,900 3,831 3,523 3,721 4,065 4,436

Alcoholic beverages

583 469 610 388 517 554 662 774 721

Housing

24,298 20,515 25,189 19,447 19,292 23,679 25,109 30,268 30,094

Shelter

14,507 10,527 15,444 10,359 10,353 14,059 15,032 20,109 19,966

Owned dwellings

8,230 7,804 8,330 5,757 6,141 7,820 8,540 10,479 9,977

Rented dwellings

4,990 1,606 5,787 3,769 3,427 5,037 5,220 7,780 8,265

Other lodging

1,287 1,117 1,327 833 [2] 1,203 1,272 1,850 1,724

Utilities, fuels, and public services

4,549 4,899 4,467 4,322 4,354 4,494 4,436 4,506 4,578

Household operations

1,849 1,529 1,925 1,430 1,634 1,719 2,090 2,391 2,193

Housekeeping supplies

787 938 751 788 629 736 809 765 736

Household furnishings and equipment

2,606 2,622 2,602 2,549 2,322 2,671 2,742 2,497 2,621

Apparel and services

1,945 1,678 2,008 1,811 2,006 1,650 2,267 2,017 2,462

Transportation

12,295 13,217 12,078 11,539 11,017 11,362 12,252 13,830 12,386

Vehicle purchases (net outlay)

4,496 4,984 4,381 4,772 4,006 3,927 4,618 5,073 4,138

Gasoline, other fuels, and motor oil

3,120 3,856 2,946 3,081 3,015 2,924 2,827 3,099 2,826

Other vehicle expenses

3,834 3,793 3,844 3,272 3,459 3,797 3,978 4,330 3,982

Public and other transportation

845 583 907 414 [2] 713 830 1,328 1,440

Healthcare

5,850 6,509 5,695 5,261 5,179 6,071 5,910 5,957 5,273

Entertainment

3,458 4,196 3,284 2,768 2,497 3,343 3,590 3,638 3,346

Personal care products and services

866 709 903 684 681 836 907 1,171 1,041

Reading

117 88 123 115 [2] 109 132 165 132

Education

1,335 955 1,425 611 [2] 1,176 1,687 2,089 1,936

Tobacco products and smoking supplies

371 497 342 478 349 326 379 297 265

Miscellaneous

1,009 1,042 1,001 898 [2] 1,001 1,031 1,147 966

Cash contributions

2,755 [2] 2,549 2,078 1,762 2,381 2,104 [2] 2,004

Personal insurance and pensions

8,742 8,308 8,844 6,562 6,432 8,114 9,311 11,135 10,354

Life and other personal insurance

519 494 525 464 365 458 521 556 718

Pensions and Social Security

8,223 7,815 8,319 6,098 6,067 7,656 8,789 10,579 9,636

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 6. Type of area: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Urban Rural
Total urban Urban principal city Other urban

Number of consumer units (in thousands) [1]

134,090 108,534 46,272 62,262 25,556

Consumer unit characteristics:

Income before taxes

$94,003 $94,490 $86,867 $100,155 $91,936

Age of reference person

52.1 51.2 49.1 52.7 56.0

Average number in consumer unit:

People

2.4 2.4 2.3 2.5 2.5

Children under 18

.6 .6 .5 .6 .6

Adults 65 and older

.4 .4 .3 .4 .6

Earners

1.3 1.3 1.3 1.3 1.3

Vehicles

1.9 1.7 1.5 1.9 2.4

Percent homeowner

65 61 51 68 83

Average annual expenditures

$72,967 $73,490 $67,963 $77,609 $70,750

Food

9,343 9,438 8,846 9,884 8,941

Food at home

5,703 5,691 5,244 6,029 5,755

Cereals and bakery products

712 704 628 761 746

Meats, poultry, fish, and eggs

1,216 1,214 1,106 1,295 1,222

Dairy products

532 529 479 567 545

Fruits and vegetables

1,099 1,118 1,065 1,158 1,021

Other food at home

2,144 2,126 1,966 2,247 2,222

Food away from home

3,639 3,746 3,602 3,855 3,185

Alcoholic beverages

583 610 626 598 469

Housing

24,298 25,189 23,860 26,180 20,515

Shelter

14,507 15,444 15,233 15,601 10,527

Owned dwellings

8,230 8,330 6,909 9,386 7,804

Rented dwellings

4,990 5,787 7,087 4,821 1,606

Other lodging

1,287 1,327 1,237 1,393 1,117

Utilities, fuels, and public services

4,549 4,467 4,113 4,730 4,899

Household operations

1,849 1,925 1,642 2,135 1,529

Housekeeping supplies

787 751 656 823 938

Household furnishings and equipment

2,606 2,602 2,215 2,891 2,622

Apparel and services

1,945 2,008 1,980 2,029 1,678

Transportation

12,295 12,078 10,872 12,974 13,217

Vehicle purchases (net outlay)

4,496 4,381 3,919 4,724 4,984

Gasoline, other fuels, and motor oil

3,120 2,946 2,569 3,227 3,856

Other vehicle expenses

3,834 3,844 3,388 4,183 3,793

Public and other transportation

845 907 997 840 583

Healthcare

5,850 5,695 4,813 6,351 6,509

Entertainment

3,458 3,284 2,856 3,605 4,196

Personal care products and services

866 903 849 944 709

Reading

117 123 136 114 88

Education

1,335 1,425 1,362 1,472 955

Tobacco products and smoking supplies

371 342 363 326 497

Miscellaneous

1,009 1,001 948 1,039 1,042

Cash contributions

2,755 2,549 2,308 2,728 [2]

Personal insurance and pensions

8,742 8,844 8,143 9,365 8,308

Life and other personal insurance

519 525 468 567 494

Pensions and Social Security

8,223 8,319 7,675 8,798 7,815

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 7. Composition of consumer unit: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Married couple consumer units One parent, at least one child under 18 Single person and other consumer units
Total Married couple only Married couple with children Other married couple consumer units
Total Oldest child under 6 Oldest child 6 to 17 Oldest child 18 or older

Number of consumer units (in thousands) [1]

134,090 64,074 28,864 29,570 4,344 14,706 10,520 5,640 6,525 63,491

Consumer unit characteristics:

Income before taxes

$94,003 $130,934 $111,791 $147,423 $143,431 $150,262 $145,103 $142,453 $53,674 $60,879

Age of reference person

52.1 52.0 59.3 44.9 33.3 41.7 54.3 51.6 40.2 53.4

Average number in consumer unit:

People

2.4 3.2 2.0 4.1 3.5 4.2 4.0 4.8 2.9 1.6

Children under 18

.6 .8 [2] 1.6 1.5 2.2 .7 1.2 1.7 .2

Adults 65 and older

.4 .5 .9 .1 [2] [2] .3 .7 [2] .4

Earners

1.3 1.7 1.1 2.0 1.7 1.8 2.5 2.4 1.2 1.0

Vehicles

1.9 2.4 2.3 2.5 2.1 2.3 3.0 2.6 1.2 1.4

Percent homeowner

65 80 83 79 75 77 83 77 36 53

Average annual expenditures

$72,967 $95,382 $85,333 $104,891 $94,505 $110,019 $102,316 $96,707 $56,240 $52,043

Food

9,343 12,152 10,242 13,852 11,054 14,711 14,031 12,926 8,815 6,547

Food at home

5,703 7,328 6,224 8,309 7,051 8,486 8,703 7,761 5,453 4,081

Cereals and bakery products

712 924 752 1,076 823 1,139 1,116 1,001 682 500

Meats, poultry, fish, and eggs

1,216 1,546 1,312 1,748 1,438 1,724 1,940 1,668 1,185 884

Dairy products

532 697 594 784 718 819 768 767 528 365

Fruits and vegetables

1,099 1,423 1,209 1,621 1,393 1,699 1,629 1,451 1,066 775

Other food at home

2,144 2,739 2,357 3,081 2,680 3,104 3,250 2,873 1,992 1,557

Food away from home

3,639 4,824 4,018 5,543 4,003 6,225 5,329 5,166 3,362 2,467

Alcoholic beverages

583 704 784 653 610 616 724 569 305 489

Housing

24,298 29,654 26,310 32,577 34,521 34,250 29,439 31,457 21,723 19,156

Shelter

14,507 16,903 15,145 18,396 17,770 20,143 16,214 18,069 13,073 12,236

Owned dwellings

8,230 11,540 10,150 12,780 12,567 13,932 11,258 12,159 4,272 5,295

Rented dwellings

4,990 3,438 2,959 3,691 4,291 4,156 2,793 4,567 8,107 6,237

Other lodging

1,287 1,924 2,037 1,926 912 2,055 2,163 1,343 694 704

Utilities, fuels, and public services

4,549 5,651 5,086 5,957 4,917 5,837 6,554 6,935 4,206 3,473

Household operations

1,849 2,518 1,833 3,321 7,501 3,209 1,755 1,810 1,726 1,187

Housekeeping supplies

787 995 979 974 1,012 894 1,068 1,214 821 573

Household furnishings and equipment

2,606 3,587 3,267 3,928 3,321 4,167 3,848 3,429 1,896 1,687

Apparel and services

1,945 2,534 1,836 3,189 2,837 3,576 2,834 2,598 [2] 1,300

Transportation

12,295 16,170 13,633 18,501 15,564 18,396 19,870 16,927 8,625 8,761

Vehicle purchases (net outlay)

4,496 6,040 4,794 7,291 6,646 7,374 7,441 5,855 [2] 3,177

Gasoline, other fuels, and motor oil

3,120 4,095 3,343 4,654 3,652 4,565 5,194 5,014 2,705 2,178

Other vehicle expenses

3,834 4,898 4,438 5,287 4,452 5,016 6,021 5,202 3,153 2,831

Public and other transportation

845 1,138 1,058 1,269 813 1,442 1,215 856 600 575

Healthcare

5,850 7,870 8,357 7,390 5,644 7,506 7,958 7,881 3,185 4,086

Entertainment

3,458 4,767 4,373 5,339 4,786 6,253 4,273 3,730 2,406 2,245

Personal care products and services

866 1,081 1,011 1,137 895 1,170 1,204 1,150 891 646

Reading

117 138 148 138 [2] 132 156 85 94 97

Education

1,335 2,005 1,318 2,687 [2] 2,921 3,236 1,935 700 725

Tobacco products and smoking supplies

371 368 347 329 224 308 402 680 279 384

Miscellaneous

1,009 1,207 1,246 1,162 847 1,338 1,055 1,227 968 813

Cash contributions

2,755 4,163 5,755 2,918 1,748 3,244 2,944 2,539 [2] 1,522

Personal insurance and pensions

8,742 12,568 9,972 15,020 15,079 15,597 14,189 13,001 4,938 5,271

Life and other personal insurance

519 802 839 750 573 800 754 [2] 227 264

Pensions and Social Security

8,223 11,767 9,134 14,270 14,506 14,797 13,435 12,118 4,711 5,007

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 8. Highest education level of any member: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Less than college graduate College graduate
Total Less than high school graduate High school graduate High school graduate with some college Associate's degree Total Bachelor's degree Master's, professional, doctoral degree

Number of consumer units (in thousands) [1]

134,090 71,413 7,887 24,527 24,297 14,701 62,678 35,328 27,350

Consumer unit characteristics:

Income before taxes

$94,003 $58,949 $37,422 $49,677 $63,934 $77,730 $133,943 $115,369 $157,935

Age of reference person

52.1 53.2 56.2 53.4 52.4 52.3 50.9 49.8 52.2

Average number in consumer unit:

People

2.4 2.3 2.3 2.3 2.3 2.4 2.6 2.5 2.6

Children under 18

.6 .5 .7 .5 .5 .5 .6 .5 .6

Adults 65 and older

.4 .4 .4 .5 .4 .4 .4 .4 .4

Earners

1.3 1.2 .8 1.1 1.2 1.4 1.5 1.5 1.5

Vehicles

1.9 1.7 1.1 1.6 1.8 2.0 2.1 2.0 2.1

Percent homeowner

65 58 46 54 60 66 74 72 76

Average annual expenditures

$72,967 $52,172 $37,012 $46,097 $56,511 $63,106 $96,540 $86,295 $109,691

Food

9,343 7,201 5,463 6,603 7,800 8,037 11,715 10,816 12,839

Food at home

5,703 4,739 4,307 4,587 4,823 5,053 6,767 6,327 7,313

Cereals and bakery products

712 590 507 564 615 632 846 781 927

Meats, poultry, fish, and eggs

1,216 1,095 1,118 1,087 1,096 1,096 1,349 1,295 1,414

Dairy products

532 433 357 398 454 493 641 596 695

Fruits and vegetables

1,099 868 838 814 903 919 1,354 1,217 1,524

Other food at home

2,144 1,753 1,487 1,724 1,755 1,912 2,577 2,437 2,752

Food away from home

3,639 2,462 1,156 2,016 2,977 2,985 4,948 4,490 5,527

Alcoholic beverages

583 346 156 251 453 429 849 775 942

Housing

24,298 18,039 13,736 16,276 19,365 21,071 31,417 27,862 35,996

Shelter

14,507 10,348 8,322 9,227 11,163 11,960 19,245 16,990 22,159

Owned dwellings

8,230 4,901 3,068 3,888 5,386 6,770 12,023 10,423 14,090

Rented dwellings

4,990 4,961 5,081 5,046 5,138 4,464 5,024 4,951 5,117

Other lodging

1,287 486 173 293 638 725 2,199 1,616 2,952

Utilities, fuels, and public services

4,549 4,137 3,249 4,012 4,280 4,583 5,019 4,877 5,203

Household operations

1,849 1,075 500 969 1,182 1,383 2,731 2,103 3,542

Housekeeping supplies

787 666 550 572 702 819 920 842 1,017

Household furnishings and equipment

2,606 1,812 1,115 1,496 2,038 2,326 3,502 3,050 4,076

Apparel and services

1,945 1,446 1,235 1,389 1,408 1,687 2,499 2,210 2,857

Transportation

12,295 9,780 6,538 8,942 10,383 11,918 15,159 14,548 15,947

Vehicle purchases (net outlay)

4,496 3,376 2,439 3,130 3,422 4,215 5,771 5,656 5,921

Gasoline, other fuels, and motor oil

3,120 2,918 1,982 2,783 3,086 3,368 3,349 3,402 3,281

Other vehicle expenses

3,834 3,132 1,768 2,758 3,485 3,903 4,633 4,412 4,917

Public and other transportation

845 353 349 271 389 433 1,405 1,078 1,829

Healthcare

5,850 4,501 2,993 3,956 4,928 5,516 7,385 6,992 7,889

Entertainment

3,458 2,272 [2] 1,879 2,392 3,028 4,800 4,309 5,433

Personal care products and services

866 617 409 525 677 780 1,146 1,025 1,297

Reading

117 66 [2] 44 82 [2] 173 131 226

Education

1,335 465 [2] [2] 645 517 2,326 1,909 2,863

Tobacco products and smoking supplies

371 507 394 518 559 463 217 272 145

Miscellaneous

1,009 778 480 586 907 1,045 1,270 1,054 1,545

Cash contributions

2,755 1,366 851 989 1,706 1,708 4,337 3,078 5,964

Personal insurance and pensions

8,742 4,788 2,697 3,824 5,206 6,827 13,247 11,313 15,746

Life and other personal insurance

519 333 180 241 387 480 731 615 882

Pensions and Social Security

8,223 4,455 2,517 3,583 4,819 6,347 12,516 10,698 14,865

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 9. Housing tenure: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Homeowner Renter
Total Homeowner with mortgage Homeowner without mortgage

Number of consumer units (in thousands) [1]

134,090 87,276 51,041 36,236 46,814

Consumer unit characteristics:

Income before taxes

$94,003 $112,501 $136,242 $79,060 $59,518

Age of reference person

52.1 55.8 50.3 63.5 45.2

Average number in consumer unit:

People

2.4 2.6 2.9 2.1 2.2

Children under 18

.6 .6 .8 .3 .6

Adults 65 and older

.4 .5 .3 .8 .2

Earners

1.3 1.4 1.7 .9 1.2

Vehicles

1.9 2.2 2.4 2.1 1.2

Percent homeowner

65 100 100 100 [2]

Average annual expenditures

$72,967 $83,063 $95,603 $64,974 $54,159

Food

9,343 10,467 11,530 8,709 7,253

Food at home

5,703 6,348 6,822 5,552 4,505

Cereals and bakery products

712 809 877 696 531

Meats, poultry, fish, and eggs

1,216 1,318 1,411 1,160 1,026

Dairy products

532 598 637 533 409

Fruits and vegetables

1,099 1,220 1,321 1,049 876

Other food at home

2,144 2,403 2,576 2,115 1,663

Food away from home

3,639 4,119 4,708 3,157 2,748

Alcoholic beverages

583 660 747 532 440

Housing

24,298 26,067 31,100 18,929 21,004

Shelter

14,507 14,337 18,248 8,827 14,825

Owned dwellings

8,230 12,574 16,424 7,150 131

Rented dwellings

4,990 144 98 208 14,026

Other lodging

1,287 1,619 1,725 1,469 667

Utilities, fuels, and public services

4,549 5,362 5,653 4,953 3,034

Household operations

1,849 2,243 2,653 1,664 1,115

Housekeeping supplies

787 932 974 861 519

Household furnishings and equipment

2,606 3,193 3,573 2,625 1,512

Apparel and services

1,945 2,109 2,432 1,575 1,640

Transportation

12,295 13,947 16,206 10,764 9,214

Vehicle purchases (net outlay)

4,496 5,140 6,185 3,666 3,296

Gasoline, other fuels, and motor oil

3,120 3,527 3,949 2,934 2,360

Other vehicle expenses

3,834 4,324 4,954 3,435 2,921

Public and other transportation

845 956 1,117 728 638

Healthcare

5,850 7,223 7,157 7,330 3,292

Entertainment

3,458 4,274 4,737 3,597 1,939

Personal care products and services

866 962 1,086 773 688

Reading

117 130 129 133 93

Education

1,335 1,511 1,709 1,230 1,008

Tobacco products and smoking supplies

371 362 355 371 389

Miscellaneous

1,009 1,174 1,206 1,122 701

Cash contributions

2,755 3,618 3,506 3,777 1,144

Personal insurance and pensions

8,742 10,560 13,703 6,131 5,353

Life and other personal insurance

519 676 765 552 226

Pensions and Social Security

8,223 9,883 12,939 5,579 5,127

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Not applicable.

Source: U.S. Bureau of Labor Statistics.

Table 10. Number of earners in consumer unit: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Single consumers Consumer units of two or more people
No earner One earner No earner One earner Two earners Three or more earners

Number of consumer units (in thousands) [1]

134,090 18,091 23,484 12,838 24,925 42,292 12,461

Consumer unit characteristics:

Income before taxes

$94,003 $24,157 $64,636 $44,280 $84,159 $141,013 $162,123

Age of reference person

52.1 70.2 45.7 68.3 50.4 45.1 48.3

Average number in consumer unit:

People

2.4 1.0 1.0 2.2 3.0 3.0 4.4

Children under 18

.6 [3] [3] .2 1.0 .8 1.0

Adults 65 and older

.4 .8 .1 1.4 .5 .2 .2

Earners

1.3 [3] 1.0 [3] 1.0 2.0 3.4

Vehicles

1.9 1.0 1.1 2.0 1.9 2.3 3.0

Percent homeowner

65 59 45 77 65 71 78

Average annual expenditures

$72,967 $35,723 $50,858 $59,737 $74,274 $94,780 $106,324

Food

9,343 4,404 5,830 8,252 10,125 12,047 13,881

Food at home

5,703 3,017 3,372 5,772 6,455 6,960 8,308

Cereals and bakery products

712 390 394 738 796 872 1,067

Meats, poultry, fish, and eggs

1,216 610 705 1,280 1,446 1,446 1,752

Dairy products

532 316 298 559 609 649 718

Fruits and vegetables

1,099 574 656 1,082 1,248 1,351 1,595

Other food at home

2,144 1,126 1,319 2,114 2,356 2,642 3,175

Food away from home

3,639 1,387 2,459 2,480 3,671 5,087 5,573

Alcoholic beverages

583 232 607 445 549 750 694

Housing

24,298 15,399 19,079 20,200 24,997 29,781 31,349

Shelter

14,507 9,551 13,095 10,722 14,411 17,616 17,900

Owned dwellings

8,230 4,624 5,081 6,773 8,035 10,984 11,941

Rented dwellings

4,990 4,285 7,232 2,672 5,159 4,910 4,116

Other lodging

1,287 642 782 1,277 1,217 1,723 1,843

Utilities, fuels, and public services

4,549 2,870 2,862 4,723 4,860 5,285 6,868

Household operations

1,849 1,141 985 1,672 1,927 2,662 1,789

Housekeeping supplies

787 490 513 961 907 858 1,072

Household furnishings and equipment

2,606 1,348 1,625 2,122 2,892 3,359 3,720

Apparel and services

1,945 607 1,188 1,267 2,182 2,634 3,295

Transportation

12,295 4,389 8,088 9,237 12,475 16,288 20,954

Vehicle purchases (net outlay)

4,496 1,382 2,659 3,221 4,432 6,185 8,187

Gasoline, other fuels, and motor oil

3,120 1,075 1,986 2,287 3,343 4,058 5,449

Other vehicle expenses

3,834 1,588 2,729 3,103 3,901 4,923 6,117

Public and other transportation

845 343 714 625 799 1,121 1,201

Healthcare

5,850 4,662 3,087 8,357 6,099 6,639 7,032

Entertainment

3,458 1,477 2,250 3,027 3,385 4,800 4,675

Personal care products and services

866 431 634 753 889 1,064 1,367

Reading

117 101 103 132 114 124 133

Education

1,335 [2] 742 [2] 1,135 1,872 2,786

Tobacco products and smoking supplies

371 265 281 419 414 401 461

Miscellaneous

1,009 713 707 909 1,036 1,281 1,143

Cash contributions

2,755 2,097 1,468 [2] 3,666 2,561 2,424

Personal insurance and pensions

8,742 273 6,793 [2] 7,210 14,539 16,130

Life and other personal insurance

519 210 230 535 552 726 732

Pensions and Social Security

8,223 [2] 6,563 [2] 6,658 13,813 15,398

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

[3] Not applicable.

Source: U.S. Bureau of Labor Statistics.

Table 11. Size of consumer unit: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units One person Two or more people
Total Two people Three people Four people Five or more people

Number of consumer units (in thousands) [1]

134,090 41,574 92,516 43,906 19,141 16,116 13,353

Consumer unit characteristics:

Income before taxes

$94,003 $47,022 $115,116 $99,957 $120,061 $139,902 $127,954

Age of reference person

52.1 56.4 50.2 55.5 48.4 44.0 42.6

Average number in consumer unit:

People

2.4 1.0 3.1 2.0 3.0 4.0 5.7

Children under 18

.6 [2] .8 .1 .6 1.5 2.7

Adults 65 and older

.4 .4 .4 .7 .3 .1 .2

Earners

1.3 .6 1.6 1.2 1.8 2.0 2.3

Vehicles

1.9 1.1 2.2 2.1 2.2 2.4 2.5

Percent homeowner

65 51 71 72 70 74 70

Average annual expenditures

$72,967 $44,312 $85,799 $76,468 $86,265 $101,514 $96,814

Food

9,343 5,235 11,160 9,363 11,158 13,055 14,790

Food at home

5,703 3,224 6,799 5,635 6,862 8,012 9,066

Cereals and bakery products

712 392 853 682 865 1,026 1,191

Meats, poultry, fish, and eggs

1,216 666 1,458 1,196 1,521 1,640 2,020

Dairy products

532 305 632 530 644 740 819

Fruits and vegetables

1,099 622 1,310 1,085 1,272 1,607 1,744

Other food at home

2,144 1,239 2,545 2,143 2,559 2,999 3,292

Food away from home

3,639 2,011 4,361 3,728 4,297 5,042 5,724

Alcoholic beverages

583 446 644 717 608 660 435

Housing

24,298 17,477 27,359 24,528 27,433 32,048 30,893

Shelter

14,507 11,553 15,834 14,533 15,884 18,004 17,425

Owned dwellings

8,230 4,882 9,734 8,531 9,726 11,953 11,022

Rented dwellings

4,990 5,949 4,560 4,452 4,576 4,313 5,188

Other lodging

1,287 721 1,541 1,550 1,582 1,739 1,215

Utilities, fuels, and public services

4,549 2,865 5,306 4,679 5,455 5,872 6,471

Household operations

1,849 1,053 2,207 1,645 2,398 3,282 2,483

Housekeeping supplies

787 503 912 862 951 932 1,000

Household furnishings and equipment

2,606 1,503 3,099 2,809 2,745 3,958 3,515

Apparel and services

1,945 945 2,387 1,798 2,107 3,422 3,468

Transportation

12,295 6,479 14,908 12,452 15,919 18,714 16,945

Vehicle purchases (net outlay)

4,496 2,103 5,571 4,282 6,372 7,837 5,928

Gasoline, other fuels, and motor oil

3,120 1,590 3,807 3,141 3,936 4,467 5,015

Other vehicle expenses

3,834 2,233 4,554 4,116 4,678 5,189 5,049

Public and other transportation

845 553 976 913 933 1,221 952

Healthcare

5,850 3,770 6,785 6,878 6,660 7,288 6,045

Entertainment

3,458 1,918 4,148 3,839 4,068 4,752 4,541

Personal care products and services

866 547 1,008 916 993 1,109 1,219

Reading

117 101 124 134 110 130 101

Education

1,335 712 1,615 1,136 1,871 2,123 2,211

Tobacco products and smoking supplies

371 274 415 400 469 369 444

Miscellaneous

1,009 710 1,142 1,148 1,181 1,076 1,146

Cash contributions

2,755 1,742 3,210 4,165 2,093 2,463 2,572

Personal insurance and pensions

8,742 3,956 10,893 8,996 11,594 14,305 12,005

Life and other personal insurance

519 221 653 649 636 738 590

Pensions and Social Security

8,223 3,735 10,240 8,347 10,958 13,567 11,415

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Not applicable.

Source: U.S. Bureau of Labor Statistics.

Table 12. Age of reference person: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Under 25 years 25-34 years 35-44 years 45-54 years 55-64 years 65 years and older 65-74 years 75 years and older

Number of consumer units (in thousands) [1]

134,090 6,272 20,901 22,813 22,687 24,433 36,983 21,728 15,255

Consumer unit characteristics:

Income before taxes

$94,003 $48,233 $89,514 $118,149 $128,980 $105,498 $60,359 $68,059 $49,392

Age of reference person

52.1 21.9 29.8 39.5 49.5 59.6 74.2 69.3 81.0

Average number in consumer unit:

People

2.4 2.1 2.6 3.4 2.9 2.2 1.7 1.8 1.6

Children under 18

.6 .3 .9 1.4 .7 .2 [2] .1 [2]

Adults 65 and older

.4 [3] [2] [2] .1 .1 1.4 1.4 1.3

Earners

1.3 1.4 1.5 1.7 1.8 1.4 .5 .7 .3

Vehicles

1.9 1.2 1.6 2.0 2.2 2.2 1.7 1.9 1.5

Percent homeowner

65 18 43 62 71 76 77 77 77

Average annual expenditures

$72,967 $46,359 $67,883 $86,049 $91,074 $78,079 $57,818 $60,844 $53,481

Food

9,343 5,898 8,914 11,023 11,827 9,791 7,306 8,198 6,020

Food at home

5,703 3,347 5,176 6,773 6,959 5,981 4,797 5,253 4,140

Cereals and bakery products

712 394 638 847 898 722 605 643 551

Meats, poultry, fish, and eggs

1,216 817 1,055 1,441 1,414 1,361 1,019 1,143 839

Dairy products

532 309 476 624 642 530 481 522 423

Fruits and vegetables

1,099 640 1,021 1,353 1,303 1,094 944 1,031 818

Other food at home

2,144 1,186 1,986 2,509 2,702 2,273 1,748 1,914 1,509

Food away from home

3,639 2,551 3,738 4,250 4,868 3,811 2,509 2,946 1,880

Alcoholic beverages

583 394 622 688 604 661 469 573 320

Housing

24,298 16,837 24,301 28,975 28,281 24,140 20,362 21,094 19,317

Shelter

14,507 11,737 15,429 17,316 16,836 13,905 11,692 12,049 11,184

Owned dwellings

8,230 1,614 5,793 10,134 10,537 9,157 7,526 8,108 6,697

Rented dwellings

4,990 9,358 8,824 6,017 4,471 3,094 3,021 2,635 3,571

Other lodging

1,287 [3] 811 1,165 1,828 1,654 1,145 1,306 915

Utilities, fuels, and public services

4,549 2,574 3,796 4,933 5,424 5,004 4,236 4,371 4,043

Household operations

1,849 835 2,022 2,862 1,738 1,532 1,578 1,516 1,666

Housekeeping supplies

787 314 722 788 894 883 787 831 723

Household furnishings and equipment

2,606 1,377 2,333 3,075 3,390 2,817 2,070 2,327 1,701

Apparel and services

1,945 1,184 2,249 2,632 2,600 1,830 1,130 1,357 801

Transportation

12,295 9,583 12,089 15,220 15,619 13,596 8,172 9,550 6,209

Vehicle purchases (net outlay)

4,496 4,170 4,504 5,902 5,529 5,096 2,649 3,183 1,890

Gasoline, other fuels, and motor oil

3,120 2,495 3,131 3,818 4,051 3,443 2,004 2,382 1,467

Other vehicle expenses

3,834 2,373 3,615 4,427 4,898 4,217 2,939 3,311 2,410

Public and other transportation

845 546 839 1,074 1,142 840 579 675 442

Healthcare

5,850 1,353 3,560 5,329 6,081 6,699 7,540 7,422 7,708

Entertainment

3,458 2,075 2,884 4,361 4,481 3,698 2,672 3,182 1,943

Personal care products and services

866 540 880 986 1,050 899 706 790 586

Reading

117 [3] 100 107 105 108 152 147 159

Education

1,335 2,960 982 1,237 2,661 1,537 373 [3] [3]

Tobacco products and smoking supplies

371 226 277 440 427 541 261 334 158

Miscellaneous

1,009 [3] 895 1,020 1,215 1,161 943 929 963

Cash contributions

2,755 [3] 1,003 1,733 2,888 3,089 4,443 2,811 [3]

Personal insurance and pensions

8,742 4,244 9,127 12,298 13,235 10,329 3,289 4,057 2,196

Life and other personal insurance

519 [3] 224 545 606 760 533 568 484

Pensions and Social Security

8,223 4,172 8,902 11,753 12,629 9,569 2,756 3,489 1,711

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Value is too small to display.

[3] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 13. Generation of reference person: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Birth year of 1997 or later Birth year from 1981 to 1996 Birth year from 1965 to 1980 Birth year from 1946 to 1964 Birth year of 1945 or earlier

Number of consumer units (in thousands) [1]

134,090 7,328 34,931 36,173 43,470 12,188

Consumer unit characteristics:

Income before taxes

$94,003 $52,225 $100,315 $126,892 $81,827 $46,855

Age of reference person

52.1 22.4 33.4 49.1 66.1 82.5

Average number in consumer unit:

People

2.4 2.1 2.9 3.0 1.9 1.5

Children under 18

.6 .3 1.1 .8 .1 [2]

Adults 65 and older

.4 [2] [3] .1 .9 1.3

Earners

1.3 1.4 1.6 1.8 1.0 .2

Vehicles

1.9 1.2 1.8 2.1 2.0 1.4

Percent homeowner

65 19 51 70 77 77

Average annual expenditures

$72,967 $47,975 $74,782 $91,382 $66,362 $52,005

Food

9,343 5,982 9,766 11,635 8,729 5,675

Food at home

5,703 3,365 5,867 6,837 5,552 3,938

Cereals and bakery products

712 397 727 867 680 527

Meats, poultry, fish, and eggs

1,216 791 1,240 1,404 1,239 789

Dairy products

532 313 533 638 518 410

Fruits and vegetables

1,099 653 1,161 1,304 1,048 787

Other food at home

2,144 1,211 2,207 2,624 2,067 1,425

Food away from home

3,639 2,617 3,898 4,798 3,177 1,737

Alcoholic beverages

583 423 661 645 587 275

Housing

24,298 17,279 26,241 28,536 21,962 18,792

Shelter

14,507 11,989 16,181 16,973 12,480 11,131

Owned dwellings

8,230 1,754 7,677 10,531 8,353 6,436

Rented dwellings

4,990 9,512 7,587 4,628 2,763 3,851

Other lodging

1,287 [2] 917 1,814 1,365 844

Utilities, fuels, and public services

4,549 2,656 4,262 5,368 4,589 3,936

Household operations

1,849 857 2,486 1,916 1,499 1,674

Housekeeping supplies

787 319 741 924 827 690

Household furnishings and equipment

2,606 1,457 2,572 3,355 2,567 1,361

Apparel and services

1,945 1,181 2,415 2,604 1,499 677

Transportation

12,295 9,731 13,128 16,236 10,595 5,828

Vehicle purchases (net outlay)

4,496 4,142 4,813 6,307 3,568 1,734

Gasoline, other fuels, and motor oil

3,120 2,519 3,432 4,001 2,727 1,371

Other vehicle expenses

3,834 2,479 4,002 4,733 3,619 2,282

Public and other transportation

845 591 880 1,195 681 442

Healthcare

5,850 1,560 4,156 6,372 7,116 7,250

Entertainment

3,458 2,103 3,510 4,330 3,382 1,840

Personal care products and services

866 581 908 1,052 811 570

Reading

117 [2] 103 108 129 163

Education

1,335 2,910 912 2,581 635 [2]

Tobacco products and smoking supplies

371 223 341 462 410 143

Miscellaneous

1,009 [2] 969 1,113 1,090 878

Cash contributions

2,755 [2] 1,269 2,709 3,016 [2]

Personal insurance and pensions

8,742 4,814 10,402 13,001 6,404 [2]

Life and other personal insurance

519 [2] 359 602 672 441

Pensions and Social Security

8,223 4,716 10,043 12,399 5,732 [2]

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

[3] Value is too small to display.

Source: U.S. Bureau of Labor Statistics.

Table 14. Selected age of reference person: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Under 30 years 30 and older Under 50 years 50 and older Under 55 years 55 and older Under 65 years 65 and older

Number of consumer units (in thousands) [1]

134,090 15,873 118,217 60,787 73,303 72,673 61,417 97,107 36,983

Consumer unit characteristics:

Income before taxes

$94,003 $67,557 $97,554 $104,057 $85,667 $107,260 $78,317 $106,817 $60,359

Age of reference person

52.1 25.1 55.7 35.7 65.7 38.3 68.4 43.7 74.2

Average number in consumer unit:

People

2.4 2.2 2.5 2.9 2.0 2.9 1.9 2.7 1.7

Children under 18

.6 .5 .6 1.0 .2 .9 .1 .8 [2]

Adults 65 and older

.4 [2] .5 [2] .8 [2] .9 .1 1.4

Earners

1.3 1.5 1.3 1.6 1.0 1.7 .9 1.6 .5

Vehicles

1.9 1.4 1.9 1.8 1.9 1.9 1.9 1.9 1.7

Percent homeowner

65 29 70 52 76 55 77 61 77

Average annual expenditures

$72,967 $55,481 $75,321 $77,194 $69,429 $78,896 $65,889 $78,691 $57,818

Food

9,343 7,060 9,653 9,935 8,821 10,184 8,301 10,088 7,306

Food at home

5,703 3,968 5,939 5,899 5,530 6,050 5,271 6,034 4,797

Cereals and bakery products

712 473 744 741 687 760 652 751 605

Meats, poultry, fish, and eggs

1,216 877 1,262 1,240 1,194 1,264 1,156 1,287 1,019

Dairy products

532 362 555 547 519 557 501 550 481

Fruits and vegetables

1,099 783 1,142 1,159 1,046 1,176 1,004 1,156 944

Other food at home

2,144 1,473 2,235 2,212 2,084 2,294 1,958 2,289 1,748

Food away from home

3,639 3,092 3,714 4,036 3,291 4,134 3,030 4,055 2,509

Alcoholic beverages

583 507 594 626 549 617 545 627 469

Housing

24,298 19,684 24,919 26,105 22,808 26,356 21,866 25,796 20,362

Shelter

14,507 13,424 14,652 16,058 13,221 16,142 12,572 15,579 11,692

Owned dwellings

8,230 3,260 8,897 7,917 8,489 8,276 8,175 8,498 7,526

Rented dwellings

4,990 9,431 4,394 7,036 3,294 6,630 3,050 5,741 3,021

Other lodging

1,287 733 1,361 1,105 1,438 1,236 1,347 1,341 1,145

Utilities, fuels, and public services

4,549 3,006 4,756 4,405 4,669 4,556 4,541 4,669 4,236

Household operations

1,849 1,132 1,946 2,200 1,559 2,094 1,560 1,953 1,578

Housekeeping supplies

787 436 835 724 843 756 825 787 787

Household furnishings and equipment

2,606 1,686 2,730 2,718 2,517 2,807 2,368 2,809 2,070

Apparel and services

1,945 1,867 1,955 2,348 1,592 2,378 1,410 2,244 1,130

Transportation

12,295 10,816 12,494 13,817 11,034 13,956 10,330 13,865 8,172

Vehicle purchases (net outlay)

4,496 4,405 4,508 5,231 3,886 5,234 3,623 5,199 2,649

Gasoline, other fuels, and motor oil

3,120 2,747 3,170 3,535 2,775 3,579 2,577 3,545 2,004

Other vehicle expenses

3,834 2,960 3,952 4,070 3,640 4,162 3,448 4,175 2,939

Public and other transportation

845 705 864 981 733 982 683 946 579

Healthcare

5,850 2,313 6,326 4,446 7,020 4,709 7,205 5,209 7,540

Entertainment

3,458 2,288 3,616 3,794 3,178 3,774 3,082 3,753 2,672

Personal care products and services

866 732 884 915 825 935 783 926 706

Reading

117 93 120 106 127 103 134 104 152

Education

1,335 1,917 1,257 1,573 1,138 1,757 836 1,701 373

Tobacco products and smoking supplies

371 243 389 355 385 370 372 413 261

Miscellaneous

1,009 514 1,075 954 1,055 991 1,030 1,033 943

Cash contributions

2,755 750 3,024 1,634 3,684 1,783 3,904 2,112 4,443

Personal insurance and pensions

8,742 6,694 9,017 10,585 7,214 10,983 6,090 10,819 3,289

Life and other personal insurance

519 172 566 411 609 431 624 514 533

Pensions and Social Security

8,223 6,522 8,451 10,174 6,605 10,552 5,466 10,305 2,756

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Value is too small to display.

Source: U.S. Bureau of Labor Statistics.

Table 15. Hispanic or Latino origin of reference person: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Hispanic or Latino Not Hispanic or Latino
Total White, and all other races, not including Black or African-American [1] Black or African-American

Number of consumer units (in thousands) [2]

134,090 19,535 114,555 97,574 16,981

Consumer unit characteristics:

Income before taxes

$94,003 $75,900 $97,091 $101,465 $71,956

Age of reference person

52.1 45.4 53.2 53.7 50.4

Average number in consumer unit:

People

2.4 3.1 2.3 2.3 2.5

Children under 18

.6 .9 .5 .5 .7

Adults 65 and older

.4 .2 .5 .5 .3

Earners

1.3 1.6 1.3 1.3 1.2

Vehicles

1.9 1.7 1.9 2.0 1.4

Percent homeowner

65 48 68 71 48

Average annual expenditures

$72,967 $64,330 $74,443 $77,369 $57,646

Food

9,343 9,302 9,349 9,726 7,191

Food at home

5,703 5,684 5,707 5,897 4,622

Cereals and bakery products

712 657 722 747 578

Meats, poultry, fish, and eggs

1,216 1,393 1,184 1,190 1,151

Dairy products

532 521 534 564 362

Fruits and vegetables

1,099 1,168 1,087 1,122 888

Other food at home

2,144 1,945 2,179 2,273 1,644

Food away from home

3,639 3,618 3,642 3,830 2,569

Alcoholic beverages

583 417 612 658 351

Housing

24,298 22,964 24,527 25,116 21,150

Shelter

14,507 14,086 14,579 14,896 12,756

Owned dwellings

8,230 5,847 8,636 9,160 5,623

Rented dwellings

4,990 7,609 4,544 4,200 6,522

Other lodging

1,287 630 1,399 1,536 611

Utilities, fuels, and public services

4,549 4,433 4,569 4,588 4,462

Household operations

1,849 1,371 1,931 2,027 1,376

Housekeeping supplies

787 679 806 828 684

Household furnishings and equipment

2,606 2,396 2,642 2,777 1,872

Apparel and services

1,945 2,197 1,900 1,831 2,296

Transportation

12,295 12,586 12,245 12,609 10,153

Vehicle purchases (net outlay)

4,496 4,374 4,517 4,729 3,295

Gasoline, other fuels, and motor oil

3,120 3,663 3,027 3,106 2,574

Other vehicle expenses

3,834 3,878 3,827 3,851 3,689

Public and other transportation

845 671 875 923 595

Healthcare

5,850 3,964 6,173 6,572 3,883

Entertainment

3,458 2,329 3,652 3,966 1,851

Personal care products and services

866 840 871 876 843

Reading

117 67 125 135 70

Education

1,335 895 1,411 1,545 639

Tobacco products and smoking supplies

371 213 398 410 334

Miscellaneous

1,009 695 1,062 1,125 704

Cash contributions

2,755 1,046 3,046 3,273 1,744

Personal insurance and pensions

8,742 6,815 9,071 9,529 6,437

Life and other personal insurance

519 256 564 573 516

Pensions and Social Security

8,223 6,558 8,507 8,957 5,921

Footnotes:

[1] All other races includes Native Hawaiian or other Pacific Islander, American Indian or Alaska Native, as well as respondents reporting more than one race.

[2] Data are rounded to the nearest thousands.

Source: U.S. Bureau of Labor Statistics.

Table 16. Occupation of reference person: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units Self-employed workers Wage and salary earners Retired All other, including not reporting
Total wage and salary earners Managers and professionals Technical, sales and clerical workers Service workers Construction workers and mechanics Operators, fabricators and laborers

Number of consumer units (in thousands) [1]

134,090 9,620 80,867 35,226 18,976 16,771 3,528 6,366 29,420 14,184

Consumer unit characteristics:

Income before taxes

$94,003 $147,179 $111,763 $149,604 $88,233 $77,509 $89,189 $75,253 $48,780 $50,490

Age of reference person

52.1 51.4 44.9 45.1 44.3 45.0 42.6 46.9 73.7 48.7

Average number in consumer unit:

People

2.4 2.7 2.6 2.6 2.5 2.7 3.0 2.7 1.7 2.8

Children under 18

.6 .7 .7 .7 .6 .7 .8 .7 [2] .9

Adults 65 and older

.4 .3 .2 .2 .2 .2 .1 .2 1.2 .2

Earners

1.3 1.8 1.8 1.8 1.7 1.8 1.8 1.8 .2 .6

Vehicles

1.9 2.1 2.0 2.1 1.8 1.8 2.2 2.1 1.8 1.4

Percent homeowner

65 70 63 70 58 55 58 58 79 46

Average annual expenditures

$72,967 $96,511 $80,071 $98,907 $68,589 $63,354 $70,607 $59,032 $54,975 $53,974

Food

9,343 11,134 10,035 11,829 8,895 8,428 9,378 7,949 7,350 8,397

Food at home

5,703 6,516 5,876 6,610 5,273 5,474 5,405 4,898 4,938 5,779

Cereals and bakery products

712 804 731 815 674 698 631 580 623 725

Meats, poultry, fish, and eggs

1,216 1,324 1,239 1,315 1,104 1,299 1,173 1,116 1,077 1,297

Dairy products

532 625 536 609 480 492 476 442 491 538

Fruits and vegetables

1,099 1,277 1,141 1,302 1,010 1,052 1,044 915 936 1,089

Other food at home

2,144 2,485 2,229 2,569 2,005 1,933 2,081 1,845 1,811 2,129

Food away from home

3,639 4,617 4,159 5,219 3,622 2,954 3,973 3,051 2,412 2,619

Alcoholic beverages

583 803 658 862 590 401 506 492 455 278

Housing

24,298 28,468 26,338 31,760 23,130 21,745 23,050 19,736 19,792 19,199

Shelter

14,507 17,229 15,989 19,507 13,943 13,178 13,565 11,364 11,186 11,102

Owned dwellings

8,230 10,346 9,004 11,950 7,444 6,455 6,225 5,611 7,180 4,557

Rented dwellings

4,990 4,760 5,647 5,486 5,628 6,002 6,507 5,177 2,860 5,825

Other lodging

1,287 2,123 1,338 2,071 871 721 834 576 1,146 [3]

Utilities, fuels, and public services

4,549 5,098 4,693 4,941 4,396 4,604 4,595 4,498 4,228 4,023

Household operations

1,849 2,087 2,007 2,742 1,561 1,349 1,534 1,250 1,572 1,367

Housekeeping supplies

787 966 786 906 744 685 618 595 811 632

Household furnishings and equipment

2,606 3,088 2,864 3,664 2,486 1,929 2,739 2,030 1,995 2,075

Apparel and services

1,945 2,291 2,278 2,697 1,970 2,122 1,845 1,512 1,129 1,522

Transportation

12,295 18,189 13,751 15,700 12,164 11,925 15,491 11,551 8,065 8,772

Vehicle purchases (net outlay)

4,496 7,629 5,035 5,792 4,587 4,243 [3] 3,590 2,729 2,963

Gasoline, other fuels, and motor oil

3,120 4,245 3,501 3,637 3,134 3,338 4,561 3,677 1,982 2,545

Other vehicle expenses

3,834 5,133 4,250 4,812 3,866 3,690 4,168 3,809 2,789 2,754

Public and other transportation

845 1,183 966 1,459 577 654 [3] 474 564 510

Healthcare

5,850 6,699 5,471 6,679 4,660 4,665 4,009 4,129 7,505 4,012

Entertainment

3,458 4,609 3,826 5,027 3,478 2,460 2,729 2,401 2,589 2,395

Personal care products and services

866 993 957 1,155 945 743 741 552 695 620

Reading

117 149 114 156 91 79 24 [3] 134 77

Education

1,335 1,707 1,576 2,224 1,197 1,049 [3] [3] [3] 1,734

Tobacco products and smoking supplies

371 330 376 248 400 501 519 606 269 584

Miscellaneous

1,009 1,604 1,052 1,341 838 839 992 687 881 623

Cash contributions

2,755 [3] 2,268 3,372 1,371 1,431 1,581 1,421 [3] [3]

Personal insurance and pensions

8,742 15,372 11,369 15,855 8,858 6,967 8,480 7,222 1,776 3,719

Life and other personal insurance

519 699 545 767 439 313 420 310 451 392

Pensions and Social Security

8,223 14,673 10,824 15,089 8,419 6,654 8,060 6,912 1,325 3,326

Footnotes:

[1] Data are rounded to the nearest thousands.

[2] Value is too small to display.

[3] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Table 17. Race of reference person: Average annual expenditures and characteristics, Consumer Expenditure Surveys, 2022
Item All consumer units White, Asian, and all other races, not including Black or African-American Black or African- American
Total White, and all other races, not including Black or African-American [1] Asian

Number of consumer units (in thousands) [2]

134,090 116,562 109,090 7,471 17,528

Consumer unit characteristics:

Income before taxes

$94,003 $97,333 $95,344 $126,383 $71,859

Age of reference person

52.1 52.4 52.9 45.2 50.2

Average number in consumer unit:

People

2.4 2.4 2.4 2.8 2.5

Children under 18

.6 .5 .5 .7 .7

Adults 65 and older

.4 .4 .4 .3 .3

Earners

1.3 1.3 1.3 1.6 1.2

Vehicles

1.9 1.9 2.0 1.7 1.4

Percent homeowner

65 68 68 62 48

Average annual expenditures

$72,967 $75,211 $74,333 $87,950 $57,996

Food

9,343 9,663 9,527 11,507 7,180

Food at home

5,703 5,867 5,786 6,945 4,598

Cereals and bakery products

712 732 717 933 578

Meats, poultry, fish, and eggs

1,216 1,227 1,193 1,675 1,141

Dairy products

532 557 560 522 360

Fruits and vegetables

1,099 1,131 1,097 1,584 884

Other food at home

2,144 2,220 2,219 2,232 1,636

Food away from home

3,639 3,796 3,741 4,562 2,582

Alcoholic beverages

583 617 634 390 354

Housing

24,298 24,734 24,404 29,560 21,395

Shelter

14,507 14,737 14,389 19,818 12,975

Owned dwellings

8,230 8,604 8,438 11,030 5,738

Rented dwellings

4,990 4,749 4,584 7,164 6,596

Other lodging

1,287 1,384 1,368 1,623 640

Utilities, fuels, and public services

4,549 4,563 4,583 4,262 4,459

Household operations

1,849 1,919 1,900 2,204 1,384

Housekeeping supplies

787 801 809 692 691

Household furnishings and equipment

2,606 2,713 2,723 2,584 1,886

Apparel and services

1,945 1,891 1,859 2,337 2,310

Transportation

12,295 12,617 12,434 15,299 10,151

Vehicle purchases (net outlay)

4,496 4,681 4,510 7,175 3,263

Gasoline, other fuels, and motor oil

3,120 3,201 3,230 2,771 2,581

Other vehicle expenses

3,834 3,857 3,866 3,716 3,685

Public and other transportation

845 879 827 1,636 622

Healthcare

5,850 6,148 6,183 5,643 3,869

Entertainment

3,458 3,694 3,772 2,599 1,880

Personal care products and services

866 868 862 943 854

Reading

117 123 124 108 74

Education

1,335 1,429 1,330 2,880 712

Tobacco products and smoking supplies

371 371 386 162 371

Miscellaneous

1,009 1,053 1,061 940 710

Cash contributions

2,755 2,909 2,953 c/ 1,726

Personal insurance and pensions

8,742 9,093 8,804 13,311 6,410

Life and other personal insurance

519 521 517 577 506

Pensions and Social Security

8,223 8,571 8,286 12,734 5,904

Footnotes:

[1] All other races includes Native Hawaiian or other Pacific Islander, American Indian or Alaska Native, as well as respondents reporting more than one race.

[2] Data are rounded to the nearest thousands.

[3] Data are suppressed due to the Relative Standard Error (RSE) being equal to or greater than 25 percent. See www.bls.gov/cex/tables-getting-started-guide.htm for more information.

Source: U.S. Bureau of Labor Statistics.

Technical Notes

The primary goal of the Consumer Expenditure Surveys (CE) is to collect, process, and publish data on the purchasing habits of U.S. consumers. CE data are used by a wide variety of stakeholders, such as government agencies, the private sector, and academia, to generate cutting edge research. In addition, the data are required for the regular revision of the Consumer Price Index (CPI) market basket. To craft a complete picture of how illuminating the CE is, it is important to consider its extensive history; individual components; how seamlessly it interacts with other stakeholders within the U.S. Bureau of Labor Statistics (BLS) and outside of the agency; and practical, published applications of the data.

CE History: 135 years of insight into the U.S. consumer’s spending habits

The CE has a rich and dynamic history spanning 135 years of survey collection and administration. The CE was first conducted in 1888. At the time, the survey was administered on a roughly 10-year basis, leading to noticeable gaps in spending data. The infrequency of survey collection meant that the CE missed the opportunity to collect data on several time periods: the initial phase of the Great Depression from 1929–33, spending in WWII (for which an article was published in 2015) and the immediate postwar period, and other key historic junctures of the first four-fifths of the twentieth century. This policy would hold constant through the 1972–73 survey. The 1972–73 collection cycle marked the division of the then-singular survey into two: the Diary and Interview Surveys, each with independent samples. Beginning in 1980, these two surveys also began to be conducted on an annual basis, rather than the 10-year basis that had been used previously.1

However, the 1970s were marked by high inflation, energy shortages, and recessions, among other economic hardships for consumers. This led to the recognition that more frequently collected data allowed for better understanding of how economic conditions—“boom” or “bust”—affected consumers. This demand for more frequent and timely spending data drove BLS toward annual collections for the CE. As a result, data collection on a continuing basis began in late 1979, with the U.S. Census Bureau conducting the surveys for BLS.

As the dot-com boom of the 1990s and early 2000s set in, the CE continued to collect the Diary and Interview surveys purely on paper: without the use of digital aides. The year 2003 marked the first shift in that direction with the adaptation of an electronic form of data collection. CE introduced a computer assisted personal interviewing (CAPI) instrument for the two surveys. Among other short- and long-term goals, it sought to minimize respondent burden and nonresponse bias and move the survey administration process into the modern era. In 2021, spurred by the onset of the COVID-19 pandemic and the need to provide more timely data, mid-year CE Public Use Microdata (PUMD) were released. Mid-year data are released in the second quarter of a given year and provide a partial snapshot into spending trends in anticipation of the annual data release. The year 2022 saw another milestone regarding digital implementation with the full adoption of a revamped and modern online interface for the Diary Survey.

The Diary and Interview surveys

As noted above, the CE is composed of two distinct surveys: the 2-week Diary Survey and the quarterly Interview Survey. The Diary Survey is designed to capture expenditures on small, frequently purchased items that are normally more difficult for respondents to recall purchasing multiple months ago. It is considerably easier to recall the purchase of fruit from a grocery store over a 2-week reference period than a 12-week reference period. Respondents keep detailed entries of consumption for several key expenditure categories. A major category that the Diary Survey contains is that of food and beverage spending, both for food at home and food away from home. The former comprises spending at grocery stores, public markets, and corner convenient stores. The latter focuses on food purchased at restaurants (full service, fast food, etc.), or employer and school cafeterias. Other items collected in the Diary Survey include tobacco; housekeeping supplies; nonprescription drugs; daily transportation needs, such as gasoline, taxi fares, and tolls; personal care products and services; and apparel. Although the Diary Survey was designed to collect information on expenditures that are not recalled easily over an extended reference period, respondents are asked to report all expenses that the CU incurs during the survey week, except those incurred while traveling on an out-of-town trip. For example, a New York-based CU would record spending on a taxi or limousine within Manhattan but not for one from the airport to the hotel at the start of an out-of-town trip.

The Interview Survey is designed to capture data on expenditures centered around large-scale purchases and recurring payments. Unlike the Diary Survey, respondents for the Interview Survey are asked to report purchases that can be recalled for at least 3 months, recorded by the interviewer. As stated, expenditures that consumers can be expected to recall in a typical interview wave can be sorted into two main categories, the first being large-scale purchases. Examples of large-scale purchases that a CU would report in the Interview Survey include the purchase of a new or used automobile, major appliances, and the maintenance of housing property. Recurring payments reported in the Interview Survey include items such as rent, utility payments, and insurance premiums. In addition, unlike the Diary Survey, the Interview Survey collects expenditures on out-of-town trips (excluding spending for business purposes). These data alone account for 60–70 percent of total expenditures for the average CU. After adding in respondents’ global estimates for spending on food, alcohol, and tobacco products, estimates rise to about 95 percent of expenditures that are covered in the Interview Survey.2 Nonprescription drugs, household supplies, and personal care items are excluded from Interview Survey collection.

Survey design, administration, and scope

Beyond the expenditure categories included in each survey, it is important to lay out the overall design, how each survey is administered, and what other implications they have. For the Diary Survey, the U.S. Census Bureau draws a sample of 17,800 addresses per year for the CE, with approximately 14,800 of those addresses found to be occupied housing units. The other 3,000 addresses are ineligible for the survey as generally, they are nonexistent, nonresidential, or vacant. Approximately 6,200 of those occupied housing units respond to the survey, yielding a response rate of roughly 42 percent of eligible units. Each household is then asked to complete two weekly diaries, recording all expenditures in that 2-week window. This yields a total of 12,400 weekly diaries per year. In a similar fashion, for the Interview Survey, the U.S. Census Bureau visits 13,175 addresses on a quarterly basis, with 11,000 of those addresses having eligible, occupied housing units. Out of the 11,000 occupied units visited, approximately 5,000 of those housing units respond to the survey for a corresponding quantity of interviews per quarter, yielding a response rate of 45 percent. Each CU is interviewed once per quarter, for four consecutive quarters, yielding 20,000 samples annually. Given that the panel of CUs interviewed rotates each quarter, a consistent quantity of CUs rotate in and out of the survey. Data from both the Diary and Interview Surveys are collected on an ongoing basis in 91 Primary Sampling Units (PSUs), which are defined geographic areas of the United States. Integrated data from the Diary and Interview Surveys provide a more complete accounting of consumer expenditures and income than either survey is designed to do on its own. One reason is that data on some expenditure items are collected in only one of the surveys. For example, the Diary Survey does not collect information on reimbursements or expenses incurred by CU members while on an out-of-town trip. Examples of expenditures for which reimbursements are included in the Interview Survey are medical care; automobile repairs; and construction, repairs, alterations, and maintenance of property. Similarly, the Interview Survey collects only global, not detailed, expenditures on food, at or away from home.

Source selection and data changes

For expenditure items that are unique to one survey or the other, the choice of which survey to use as the source of data is obvious. However, there is considerable overlap in coverage between the two surveys, and when dealing with integrated data, careful analysis and thought must be given when choosing the appropriate survey from which to select specific expenditure items. Once data are available from both surveys, economists in the BLS CE and CPI programs conduct statistical analyses to decide the most reliable survey source. The team relies on three key statistical methods to decide which survey is more reliable including counts sufficiency; statistical significance through the transmission mechanism of weighted z-scores; and, starting in 2020, the introduction of edit rates to gauge data quality. In this way, some items are selected from the Interview Survey, and others are selected from the Diary Survey. BLS reviews the survey sources on an annual basis. For source selection details, see “CE Source Selection for Publication Tables” in the Consumer Expenditure Survey Anthology, 2011 (BLS Report, no. 1030).

For the year 2022, the CE and CPI team made one source selection change. This involved moving expenditure data at the Universal Classification Code level for taxi and limousine fares from the Diary Survey to the Interview Survey.

Additional key CE and CPI information

As noted above, the CPI market basket is revised in accordance with results from the CE, however, the population coverage of the CE differs from that of the CPI. For example, the CE data cover the total population, including rural areas, whereas the CPI covers only the population in urban areas. With the latest CPI geographic revisions, BLS is making efforts to align the urban areas sampled by the CE and the CPI.

Definitions of components also differ between the CE and CPI. For example, homeownership is treated differently in the two surveys. Actual expenditures of homeownership (mortgage payments) are reported in the CE, whereas the CPI uses a rental equivalence approach that estimates the change in the cost of obtaining, in the rental marketplace, services equivalent to those provided by owner-occupied homes. (For an overview of the CPI methodology, see the Handbook of Methods section on the Consumer Price Index.)

Interpreting CE data

When interpreting CE data, users should keep a few key points in mind. Expenditures are averages for CUs with specified characteristics, regardless of whether any individual CU with those characteristics incurred an expense for a given item during the survey collection. Thus, the average expenditure shown for an item may be considerably lower than the average expenditure by the CUs who purchased the item. The less frequently an item is purchased, the greater the difference between the average for all CUs and the average for those purchasing the item. Take new cars for example. According to Kelley Blue Book, the average price of a new car was $49,507 in 2022.3 Conversely, the average annual expenditure for new cars and trucks in 2022 was just under $2,200. Similarly, an individual CU who purchases the item of interest may spend more or less than the average. Factors such as income, age and number of family members, and the geographic location of the CU influence its expenditures. For example, a CU in the highest income quintile will likely spend more on food on out-of-town trips than a CU in the lowest income quintile due to the highest income quintile CU’s higher disposable income. In addition, even within groups with similar characteristics, the distribution of expenditures varies substantially, as consumer tastes and preference, prices, and other factors not collected in the CE (e.g., health status of CU members) also influence expenditure patterns.

Such points should be considered when comparing reported averages with the circumstances of any individual CU of interest. Users of these survey data should also keep in mind that the data reflect conditions at the time they were collected, which may be different than current circumstances. For one thing, prices may have changed. All prices, as measured by the CPI-U, increased 8.0 percent from 2021 to 2022 (annual average index). Undoubtedly, some prices rose more than the average 8.0 percent; some rose less, some stayed the same, and some may have even declined, either within this period or after 2022.

In addition, sample surveys are subject to two types of error: sampling and non-sampling. Sampling errors arise from the constraint of not being able to survey the entire population. Whenever data are collected from a subset of a larger entity and are extrapolated to apply to all elements of that entity, there is bound to be error in the data. Therefore, the mean of the sample may differ from the mean that would be obtained if data from the entire population were available. On the other hand, non-sampling error results from data collection constraints and inconsistencies. Any of the following are sources of non-sampling error: the inability or unwillingness of respondents to provide correct information regarding spending patterns, differences in interviewers’ abilities to convince respondents to provide fully accurate answers, mistakes in recording or coding, and other processing errors. For additional information on these types of errors, see the sampling and non-sampling errors questions on the CE FAQs page.

Data products

Published tables, 1960–61, 1972–73, 1984–2022

Tables in this report include data integrated from the Diary Survey and Interview Survey components of the CE. Integrated data enables users to paint a more complete picture of CU spending dynamics by pulling key components such as food and apparel from the Diary Survey and rent, utilities, and household appliances from the Interview Survey. Integrated tables also provide expenditure breakdowns by the 17 demographic characteristics collected in the CE, allowing for analyses of comprehensive spending trends by such characteristics as education level, occupation, and housing tenure. For more detail than is provided in this report, see the CE tables archive. This archive provides tables from as far back as 1960–61.

In addition to annual tables, CE offers published tables with a 2-year collection period. The 2-year tables are available in two broad categories: cross-tabulated tables and geographic area tables. Cross-tabulated tables analyze the intersection of two demographic characteristics. Examples of both 2-year table categories are listed below.

  • Cross-tabulated tables
    • income before taxes, cross-tabulated by age, CU size, or region.
    • region of residence by income before taxes or housing tenure.
    • single consumers by sex of reference person, cross-tabulated by either income (of the CU) or age (of reference person).
  • Geographic area tables
    • selected states by quintiles of income before taxes including California, Florida, New York, and Texas.4
    • selected metropolitan statistical areas (MSAs), such as New York City, Chicago, Washington D.C., and San Francisco.
    • Census region and division of residence.

Detailed tables, 1984–2022

To complement the published tables, BLS also produces detailed level CE tables on request. Detailed level tables contain additional sub-categories of spending by demographic characteristics, allowing users to not only view how much a CU spends on “public and other transportation,” but also spending levels on airline tickets, intracity mass transit spending, and local transportation on out-of-town trips. However, while detailed level tables provide a more robust breakdown of spending data, they have larger variances relative to other tables. For additional information on variability concerns, please see “How does the variability of Consumer Expenditure data impact your analysis?.” A detailed table showing results at the all consumer units level, at even the most detailed breakdown of expenditures, is available in the Top Line Means Tables. Detailed level tables broken down by demographics are available by request by reaching out to the following email address: CEXInfo@bls.gov.

New additions to CE tables

Beginning with 2022 data, BLS determined that CE estimates with a Relative Standard Error (RSE) of 25 percent or more should be considered unreliable and began including data suppressions for these estimates in the CE tables.5 RSE is defined as the ratio of the mean to its standard error (SE). For any estimate with an RSE that equals or exceeds the 25 percent threshold, the mean expenditure, SE, and expenditure share will now be suppressed. RSEs tend to be smaller for nationwide estimates than for smaller demographic groups, primarily due to their different sample sizes. Generally, RSEs decrease as the sample size “n,” or the frequency of purchases, increases. Therefore, infrequently purchased items are more susceptible to large RSEs, while frequently purchased items tend to have smaller RSEs. For more information on variance estimation, please see the Tables Getting Started Guide. While the CE tables contain new data suppressions, CE public use microdata can still be used to obtain estimates that are suppressed in the tables. 

LABSTAT Database

The CE LABSTAT database provides tools to access CE estimates on the CE LABSTAT Database homepage, and documentation for how to use the database is available in the CE LABSTAT Getting Started Guide. Beginning with the release of 2022 data, the CE LABSTAT database includes standard errors from 2010 forward, shares of average annual expenditures from 2010 forward, and shares of aggregate expenditures from 2011 forward. In addition, a “Top Picks” feature has been added to the database, which allows users to quickly retrieve the most commonly requested CE time series data.

Public use microdata

The 2022 CE public use microdata (PUMD), including the Interview Survey files, Diary Survey files, and paradata (information about the data collection process), are available on the CE Public Use Microdata homepage. The Interview Survey files contain expenditure data in three distinct formats: MTBI, FMLI, and EXPN files. MBTI files present monthly values in an item-coding framework based on the CPI-U pricing scheme. FMLI files present user-friendly summary expenditure variables. Finally, EXPN files present detailed data files that organize expenditures by the section of the Interview questionnaire in which they are collected. Expenditure values on detailed data files cover different time periods depending on the specific questions asked. In addition, these files also contain relevant non-expenditure information not found on the MTBI files. The Diary Survey files contain expenditure data in two different formats: EXPD files that present weekly values in the same item-coding framework based on the CPI-U pricing scheme and FMLD files that present user-friendly summary expenditure variables. Documentation of the CE PUMD, its conventions, files, sample code, and methodology, can be found in the CE PUMD Getting Started Guide.

New estimates of local, state, and federal tax liabilities were included in the 2013 PUMD release and thereafter. The CE introduced these estimates to improve the quality of surveyed tax liabilities, which suffered from low response rates. For more information on the aforementioned improvements and for recent applications of tax estimates, please see “Improving data quality in Consumer Expenditure Survey with TAXSIM” and “New estimates of personal taxes in Consumer Expenditure Survey.” Free public use microdata are available at the PUMD data files webpage for SAS, STATA, and Comma Delimited Excel files for the years 1980 to 2022.

Recent publications highlighting CE data

To highlight the far-reaching scope of the data, economists in the CE program frequently produce research for both agency and public audiences. BLS actively publishes articles in the following publications: The Economics Daily, Spotlight on Statistics, Beyond the Numbers, and the Monthly Labor Review.

The Economics Daily provides readers with high-level, short highlights and headlines of current developments using BLS data. Recent articles published in The Economics Daily from CE economists include “Consumer spending increased 9.0 percent in 2022,” “Consumer expenditures rise 8.6 percent in April-June 2022 quarter compared with year earlier,” “Consumer spending on public and other transportation in metro areas before and during COVID-19,” and “Consumer expenditures for athletic gear, game tables, and exercise equipment doubled in 2021.”

Articles in Spotlight on Statistics present their stories via a collection of charts, focusing on the visual aspect of presenting CE data to the viewer. The most recent CE publication is “How the COVID-19 Pandemic Changed Urban and Rural Spending Habits.”

Beyond the Numbers articles take a more in-depth look at a topic of interest, focusing on analysis and commentary, with a selection of related charts and tables. As of December 2023, the most recent Beyond the Numbers articles highlighting CE data include “We love our pets, and our spending proves it” and “How did the COVID-19 pandemic affect healthcare spending?

The most comprehensive analyses of CE data can be found in the Monthly Labor Review. Articles in this journal exhibit more technical concepts and use statistical techniques not found in other publications. The most recent article highlighting CE data in the Monthly Labor Review is “Developing a consumption measure, with examples of use for poverty and inequality analysis: a new research product from BLS.”

In addition, the CE research library includes general articles and research papers using CE data, including instructional and how-to documents. The CE data quality and comparison webpage provides users with a comprehensive analysis on how CE data compares with other seminal outlets that release expenditure data on a frequent basis. Outlets that have CE comparison profiles include but are not limited to: the American Community Survey, Personal Consumption Expenditure, and Panel Study of Income Dynamics. For those interested in information on the methodology used to calculate and collect CE data, including the CE data quality profile, please reference the CE Handbook of Methods.

Other survey information

Other survey information available on the website includes answers to frequently asked questions and a glossary of terms. Current and historic forms used to conduct the Interview Survey and the Diary Survey are available on the Survey Questionnaires and Materials page.

Contact information

This report was prepared by Kristen Thiel and Geoffrey D. Paulin, senior economists in the Division of Consumer Expenditure Surveys, U.S. Bureau of Labor Statistics; and Shane Meyers, an economist in the Division of Consumer Expenditure Surveys, U.S. Bureau of Labor Statistics. Email: thiel.kristen@bls.gov; paulin.geoffrey@bls.gov; meyers.shane@bls.gov.

For more detailed information on the availability of current and earlier data, contact the Division of Consumer Expenditure Surveys, Office of Prices and Living Conditions, Bureau of Labor Statistics, 2 Massachusetts Avenue, NE, Washington, DC 20212-0001; call (202) 691-6900; email: CEXInfo@bls.gov; or visit the Consumer Expenditure Surveys page. Information in this publication is in the public domain and, with appropriate credit, may be reproduced without permission. If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services.

Additional notes


1 The 1980 surveys covered the entire U.S. population on aggregate. However, due to budget constraints, the survey covered only the urban population for part of the period from 1981 through 1983. In 1984, the full national sample was reestablished, and both surveys have represented the total U.S. population since then.

2 A global question is one that collects broad, general information on the item of interest. For example, the Diary Survey collects detailed information on purchases of food at home, such as rice or chuck steak. In contrast, the Interview Survey asks the global question, “what has been (your/your household’s) usual WEEKLY expense for grocery shopping?”.

3 As reported by Kelley Blue Book in January 2023, the average price of a new car that rolled off the lot was $49,507, considerably more than the average annual expenditure for a car at the all consumer units level. See Sean Tucker, “Average new car price tops $49,500,” Kelley Blue Book, January 11, 2023, https://www.kbb.com/car-news/average-new-car-price-tops-49500/.

4 As of the 2022 collection cycle, a state weight for New Jersey is no longer produced, for additional information, please see: https://www.bls.gov/cex/research_papers/pdf/krieger-swanson-discontinuation-of-nj-state-weight.pdf

5 Beginning with the 2022 CE tables publication, BLS replaced the term ‘coefficient of variation’ with ‘relative standard error.’