Table 3033. Selected western metropolitan statistical areas: Average annual expenditures and characteristics, Consumer Expenditure 

Surveys, 2019-2020

Item 

All 

consumer 

units in 

the 

West 

Los

Angeles 

San 

Francisco San Diego Seattle Phoenix Denver Honolulu Anchorage 

Number of consumer units (in thousands)1......................... 29,835 6,607 1,800 952 1,913 1,317 1,246 609 249 

Consumer unit characteristics: 

 Income before taxes ......................................................... $90,211 $93,449 $156,851 $110,132 $115,548 $81,216 $112,907 $95,678 $91,537 

 Age of reference person ................................................... 51.2 51.0 53.3 48.4 49.3 51.8 48.4 54.0 49.3 

 Average number in consumer unit: 

 People ............................................................................ 2.6 2.8 2.4 2.6 2.4 2.4 2.5 2.6 2.6 

 Children under 18 .......................................................... .6 .6 .4 .5 .5 .6 .6 .5 .7 

 Adults 65 and older ........................................................ .4 .4 .4 .3 .3 .4 .3 .5 .3 

 Earners .......................................................................... 1.4 1.5 1.4 1.5 1.4 1.2 1.5 1.5 1.4 

 Vehicles ......................................................................... 2.0 1.7 1.7 2.1 2.0 1.7 2.0 1.6 2.5 

 Percent homeowner .......................................................... 60 53 61 55 59 67 64 57 66 

Average annual expenditures .............................................. $67,904 $67,857 $91,728 $83,216 $81,728 $62,466 $75,760 $60,884 $73,189 

 Food .................................................................................. 8,673 8,869 11,438 11,067 9,928 6,737 7,838 9,953 10,291 

 Food at home ................................................................. 5,278 5,049 6,702 6,050 5,986 3,739 4,610 6,118 6,874 

 Cereals and bakery products ..................................... 645 613 848 627 731 429 545 710 867 

 Meats, poultry, fish, and eggs .................................... 1,087 1,174 1,418 1,205 1,201 803 937 1,472 1,459 

 Dairy products ............................................................ 523 480 664 619 551 339 468 445 704 

 Fruits and vegetables ................................................. 1,061 1,036 1,506 1,292 1,223 696 875 1,324 1,254 

 Other food at home .................................................... 1,963 1,746 2,267 2,307 2,281 1,472 1,785 2,166 2,589 

 Food away from home ................................................... 3,395 3,820 4,736 5,017 3,942 2,998 3,228 3,835 3,417 

 Alcoholic beverages .......................................................... 587 520 1,011 1,135 790 472 715 473 568 

 Housing ............................................................................. 24,066 25,624 34,460 30,994 30,007 21,094 25,965 23,572 24,548 

 Shelter............................................................................ 15,148 17,061 24,485 20,965 19,469 12,988 16,262 16,007 14,545 

 Owned dwellings ........................................................ 8,038 8,106 12,262 10,836 11,049 7,797 8,837 7,797 8,949 

 Rented dwellings ........................................................ 6,273 8,393 11,099 9,193 6,530 4,338 6,439 7,633 4,644 

 Other lodging .............................................................. 837 562 1,124 936 1,890 852 986 577 952 

 Utilities, fuels, and public services ................................. 4,012 4,000 4,427 3,755 4,092 4,188 4,065 4,455 4,762 

 Household operations .................................................... 1,707 1,731 2,469 1,750 2,673 1,456 2,203 938 1,443 

 Housekeeping supplies ................................................. 798 703 918 1,142 846 717 707 721 1,024 

 Household furnishings and equipment .......................... 2,403 2,129 2,162 3,381 2,927 1,745 2,728 1,452 2,773 

 Apparel and services ........................................................ 1,735 1,861 2,077 2,735 2,764 1,532 1,651 1,185 1,993 

 Transportation ................................................................... 10,683 10,681 11,139 11,310 10,766 12,776 12,749 8,213 10,522 

 Vehicle purchases (net outlay) ...................................... 4,270 3,754 4,135 23,038 3,946 7,022 5,861 2,975 3,501 

 Gasoline, other fuels, and motor oil............................... 2,086 2,519 1,928 2,353 1,949 1,727 1,684 1,670 2,121 

 Other vehicle expenses ................................................. 3,662 3,841 3,534 4,824 3,793 3,567 4,490 2,627 3,708 

 Public and other transportation ..................................... 665 566 1,541 1,095 1,078 461 713 942 1,192 

 Healthcare ......................................................................... 5,016 4,339 5,678 4,451 4,994 5,238 5,645 3,909 4,985 

 Entertainment .................................................................... 3,362 2,701 4,063 4,579 5,235 2,532 4,675 1,967 4,936 

 Personal care products and services ............................... 796 863 1,012 972 1,009 779 759 583 654 

 Reading ............................................................................. 108 87 117 109 169 75 136 55 122 

 Education .......................................................................... 1,279 1,189 2,135 1,708 2,275 987 2,270 1,379 1,469 

 Tobacco products and smoking supplies ......................... 235 183 268 215 378 205 205 183 361 

 Miscellaneous ................................................................... 1,009 1,059 1,188 1,188 1,255 850 997 610 1,254 

 Cash contributions ............................................................ 2,642 2,006 5,223 1,959 2,104 2,498 2,296 799 2,461 

 Personal insurance and pensions .................................... 7,710 7,877 12,118 10,794 10,054 6,693 9,860 8,001 9,025 

 Life and other personal insurance ................................. 431 387 753 625 561 265 661 404 427 

 Pensions and Social Security ........................................ 7,279 7,490 11,365 10,169 9,492 6,428 9,199 7,597 8,598 

1

 Data are rounded to the nearest thousands. 

2

 Data are likely to have large sampling errors. 

Source: Consumer Expenditure Surveys, U.S. Bureau of Labor Statistics, September, 2021