Graph and download economic data for Personal Consumption Expenditures: Total for California (CAPCE) from 1997 to 2024 about PCE, consumption expenditures, consumption, CA, personal, and USA.

It was calculated that in 2023 the per capita personal consumption expenditures (PCE) of California amounted to 64,835 U.S. dollars. This is an increase from 2000 when the PCE in the state was at 24,661 U.S. dollars.

Graph and download economic data for Per Capita Personal Consumption Expenditures: Services: Food Services and Accommodations for California (CAPCEPCFDSRVACCMD) from 1997 to 2024 about accommodation, PCE, food, consumption expenditures, per capita, consumption, CA, personal, services, and USA.

Graph and download economic data for Personal Consumption Expenditures: Services: Health Care for California (CAPCEHLTHCARE) from 1997 to 2024 about healthcare, health, PCE, consumption expenditures, consumption, CA, personal, services, and USA.

Quarterly final consumption expenditure for the household sector, in current and constant 2017 prices, Canada.

Personal Consumption Expenditures: Total for California was 2526290.30000 Mil. of $ in January of 2023, according to the United States Federal Reserve. Historically, Personal Consumption Expenditures: Total for California reached a record high of 2526290.30000 in January of 2023 and a record low of 681820.90000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Personal Consumption Expenditures: Total for California - last updated from the United States Federal Reserve on October of 2025.

Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for California was 1827933.70000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for California reached a record high of 1827933.70000 in January of 2024 and a record low of 447612.00000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for California - last updated from the United States Federal Reserve on November of 2025.

Per Capita Personal Consumption Expenditures: Total for California was 67565.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, Per Capita Personal Consumption Expenditures: Total for California reached a record high of 67565.00000 in January of 2024 and a record low of 20988.00000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Per Capita Personal Consumption Expenditures: Total for California - last updated from the United States Federal Reserve on December of 2025.

Quarterly household final consumption expenditure components in chained (2017) and current dollars.

Abstract

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. To meet the needs of users, the Bureau of Labor Statistics (BLS) produces population estimates (for consumer units or CUs) of average expenditures in news releases, reports, and articles in the Monthly Labor Review. Tabulated CE data are also available on the Internet and by facsimile transmission (see Section XVI. Appendix 5). These microdata files present detailed expenditure and income data for the Diary component of the CE for 2005. They include weekly expenditure (EXPD), annual income (DTBD) files, and imputed income files (DTID). The data in EXPD, DTBD, and DTID files are categorized by a Universal Classification Code (UCC). The advantage of the EXPD and DTBD files is that with the data classified in a standardized format, the user may perform comparative expenditure (income) analysis with relative ease. The FMLD and MEMD files present data on the characteristics and demographics of CUs and CU members. The summary level expenditure and income information on the FMLD files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files. Estimates of average expenditures in 2005 from the Diary survey, integrated with data from the Interview survey, are published in Consumer Expenditures in 2005. A list of recent publications containing data from the CE appears at the end of this documentation. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: “U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Diary Survey, 2005”.

State Identifier Since the CE is not designed to produce state-level estimates, summing the consumer unit weights by state will not yield state population totals. A CU's basic weight reflects its probability of selection among a group of primary sampling units of similar characteristics. For example, sample units in an urban nonmetropolitan area in California may represent similar areas in Wyoming and Nevada. Among other adjustments, CUs are post-stratified nationally by sex-age-race. For example, the weights of consumer units containing a black male, age 16-24 in Alabama, Colorado, or New York, are all adjusted equivalently. Therefore, weighted population state totals will not match population totals calculated from other surveys that are designed to represent state data. To summarize, the CE sample was not designed to produce precise estimates for individual states. Although state-level estimates that are unbiased in a repeated sampling sense can be calculated for various statistical measures, such as means and aggregates, their estimates will generally be subject to large variances. Additionally, a particular state-population estimate from the CE sample may be far from the true state-population estimate.

Interpreting the data Several factors should be considered when interpreting the expenditure data. The average expenditure for an item may be considerably lower than the expenditure by those CUs that purchased the item. The less frequently an item is purchased, the greater the difference between the average for all consumer units and the average of those purchasing. (See Section V.B. for ESTIMATION OF TOTAL AND MEAN EXPENDITURES). Also, an individual CU may spend more or less than the average, depending on its particular characteristics. Factors such as income, age of family Members, geographic location, taste and personal preference also influence expenditures. Furthermore, even within groups with similar characteristics, the distribution of expenditures varies substantially.
Expenditures reported are the direct out-of-pocket expenditures. Indirect expenditures, which may be significant, may be reflected elsewhere. For example, rental contracts often include utilities. Renters with such contracts would record no direct expense for utilities, and therefore, appear to have no utility expenses. Employers or insurance companies frequently pay other costs.CUs with Members whose employers pay for all or part of their health insurance or life insurance would have lower direct expenses for these items than those who pay the entire amount themselves. These points should be considered when relating reported averages to individual circumstances.

The Diary survey PUMD are organized into five major data files for each quarter: 1. FMLD - a file with characteristics, income, and summary level expenditures for the household 2. MEMD - a file with characteristics and income for each member in the household
3. EXPD - a detailed weekly expenditure file categorized by UCC 4. DTBD - a detailed annual income file categorized by UCC
5. DTID - a household imputed income file categorized by UCC

Analysis unit

Consumer Unit

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

Per Capita Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for California was 46357.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, Per Capita Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for California reached a record high of 46357.00000 in January of 2024 and a record low of 13779.00000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Per Capita Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for California - last updated from the United States Federal Reserve on November of 2025.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

Canada CA: GDP: Growth: Household Final Consumption Expenditure per Capita data was reported at -1.223 % in 2023. This records a decrease from the previous number of 3.196 % for 2022. Canada CA: GDP: Growth: Household Final Consumption Expenditure per Capita data is updated yearly, averaging 1.881 % from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 5.625 % in 1972 and a record low of -7.268 % in 2020. Canada CA: GDP: Growth: Household Final Consumption Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

This paper investigates how Supplemental Nutrition Assistance Program (SNAP) eligibility affects food expenditures. A 2019 policy change in California granted SNAP eligibility to previously ineligible Supplemental Security Income (SSI) recipients. Using the Consumer Expenditure Survey, we find that after the policy change, affected SSI recipients increased their food at home'' budget share between 2.5 to 4.3 percentage points ($120 to $206 per quarter). The SNAP effect on total food expenditures is dampened by a decrease infood away from home'' which SNAP benefits cannot be spent on.

Canada CA: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data was reported at 175,000.000 Person in 2010. This records an increase from the previous number of 127,000.000 Person for 2007. Canada CA: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data is updated yearly, averaging 110,000.000 Person from Dec 1994 (Median) to 2010, with 5 observations. The data reached an all-time high of 175,000.000 Person in 2010 and a record low of 80,000.000 Person in 1994. Canada CA: Number of People Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Poverty and Inequality. Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Sum;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].

Per Capita Personal Consumption Expenditures: Services for California was 48582.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, Per Capita Personal Consumption Expenditures: Services for California reached a record high of 48582.00000 in January of 2024 and a record low of 14089.00000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Per Capita Personal Consumption Expenditures: Services for California - last updated from the United States Federal Reserve on November of 2025.

Canada CA: GDP: saar: Government Consumption Expenditure data was reported at 430.380 CAD bn in 2016. This records an increase from the previous number of 419.202 CAD bn for 2015. Canada CA: GDP: saar: Government Consumption Expenditure data is updated yearly, averaging 78.655 CAD bn from Dec 1948 (Median) to 2016, with 69 observations. The data reached an all-time high of 430.380 CAD bn in 2016 and a record low of 1.454 CAD bn in 1948. Canada CA: GDP: saar: Government Consumption Expenditure data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Canada – Table CA.IMF.IFS: Gross Domestic Product: by Expenditure: Seasonally Adjusted: Annual.

Historical: Personal expenditure on consumer goods and services, in current dollars, based on the 1968 System of National Accounts international standards, 1926 to 1946.

BackgroundTaxes on sugar-sweetened beverages (SSBs) meant to improve health and raise revenue are being adopted, yet evaluation is scarce. This study examines the association of the first penny per ounce SSB excise tax in the United States, in Berkeley, California, with beverage prices, sales, store revenue/consumer spending, and usual beverage intake.Methods and findingsMethods included comparison of pre-taxation (before 1 January 2015) and first-year post-taxation (1 March 2015–29 February 2016) measures of (1) beverage prices at 26 Berkeley stores; (2) point-of-sale scanner data on 15.5 million checkouts for beverage prices, sales, and store revenue for two supermarket chains covering three Berkeley and six control non-Berkeley large supermarkets in adjacent cities; and (3) a representative telephone survey (17.4% cooperation rate) of 957 adult Berkeley residents.Key hypotheses were that (1) the tax would be passed through to the prices of taxed beverages among the chain stores in which Berkeley implemented the tax in 2015; (2) sales of taxed beverages would decline, and sales of untaxed beverages would rise, in Berkeley stores more than in comparison non-Berkeley stores; (3) consumer spending per transaction (checkout episode) would not increase in Berkeley stores; and (4) self-reported consumption of taxed beverages would decline.Main outcomes and measures included changes in inflation-adjusted prices (cents/ounce), beverage sales (ounces), consumers’ spending measured as store revenue (inflation-adjusted dollars per transaction) in two large chains, and usual beverage intake (grams/day and kilocalories/day).Tax pass-through (changes in the price after imposition of the tax) for SSBs varied in degree and timing by store type and beverage type. Pass-through was complete in large chain supermarkets (+1.07¢/oz, p = 0.001) and small chain supermarkets and chain gas stations (1.31¢/oz, p = 0.004), partial in pharmacies (+0.45¢/oz, p = 0.03), and negative in independent corner stores and independent gas stations (−0.64¢/oz, p = 0.004). Sales-unweighted mean price change from scanner data was +0.67¢/oz (p = 0.00) (sales-weighted, +0.65¢/oz, p = 0.003), with +1.09¢/oz (p

Canada CA: GDP: USD: Final Consumption Expenditure: Household data was reported at 1,181.871 USD bn in 2023. This records an increase from the previous number of 1,162.647 USD bn for 2022. Canada CA: GDP: USD: Final Consumption Expenditure: Household data is updated yearly, averaging 333.825 USD bn from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 1,181.871 USD bn in 2023 and a record low of 25.960 USD bn in 1961. Canada CA: GDP: USD: Final Consumption Expenditure: Household data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Gross Domestic Product: Nominal. Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country. Data are in current U.S. dollars.;World Bank national accounts data, and OECD National Accounts data files.;Gap-filled total;