This dataset presents a comprehensive overview of household and per-capita income and expenditure patterns in various demographic, geographic, and socioeconomic contexts. It encompasses three main categories:Disposable IncomeConsumption ExpenditureFinal Monetary Consumption ExpenditureWithin each category, indicators detail averages, medians, and percentages across dimensions such as administrative region, nationality of the household head, age group, educational level, marital status, type of dwelling, type of ownership, household size, and income sources. The dataset thus enables in-depth analysis of how different factors influence income and expenditure.esearchers, policymakers, and analysts can employ these indicators to:Understand how household and per-capita incomes vary by social and economic factors.Examine consumption patterns and their drivers, including demographic variables.Analyze the final monetary consumption expenditure in more detail using COICOP divisions for targeted economic and social policy insights.In doing so, users can identify disparities, assess living standards, and formulate data-driven strategies to address economic and social challenges at both the household and regional levels.Notes:For the first time the methodology for calculating household disposable income and consumption expenditure is used in Household Income and Consumption Expenditure Survey of 2023

This table contains 1904 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household spending, household operation (34 items: Total household operation; Communications; Telephone; Purchase of telephones and equipment; ...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).

According to a survey conducted by Rakuten Insight in March 2023 in Singapore, about 76 percent of respondents aged 55 years and above stated that rising inflation affected their ability to pay for basic necessities such as food, clothing, and healthcare. In comparison, 44 percent of respondents in the same age group reported that they were unable to save due to inflation.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: Age 75 or over (CXUTOTALEXPLB0409M) from 1984 to 2023 about age, average, expenditures, and USA.

Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

In 2023, the annual household consumption expenditure in India amounted to 2.14 trillion U.S. dollars. This was an increase as compared to the previous year, when the annual household consumption expenditure amounted to just over two trillion U.S. dollars. Household consumption expenditure is the market value of goods and services purchased by households, including slow-moving consumer goods (computers, cars, and washing machines).

Graph and download economic data for Expenditures: Other Household Expenses by Age: from Age 35 to 44 (CXUHHOTHXPNLB0404M) from 1984 to 2023 about age, expenditures, households, and USA.

Detailed breakdown of average weekly household expenditure on goods and services in the UK. Data are shown by place of purchase, income group (deciles) and age of household reference person.

United States CES: $15 to 29.999 Th: AAE: HG: HO: Other Household Expenses data was reported at 834.000 USD in 2023. This records an increase from the previous number of 829.000 USD for 2022. United States CES: $15 to 29.999 Th: AAE: HG: HO: Other Household Expenses data is updated yearly, averaging 687.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 834.000 USD in 2023 and a record low of 525.000 USD in 2015. United States CES: $15 to 29.999 Th: AAE: HG: HO: Other Household Expenses data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H067: Consumer Expenditure Survey: by Income Level.

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

Graph and download economic data for Expenditures: Other Household Products by Deciles of Income Before Taxes: Fourth 10 Percent (31st to 40th Percentile) (CXUHKPGOTHRLB1505M) from 2014 to 2023 about percentile, tax, expenditures, households, income, and USA.

According to a 2023 survey, the share of Nordic media specialists believing that household spending on SVOD service will decrease in the coming 12 months grew to 25 percent compared with the previous year. Meanwhile, half of respondents estimated that the expenditure will remain the same, which was a growth of 16 percentage points from the 2022 survey.

Graph and download economic data for Expenditures: Household Operations by Income Before Taxes: $50,000 to $69,999 (CXUHHOPERLB0209M) from 1992 to 2023 about operating, tax, expenditures, households, income, and USA.

Graph and download economic data for Expenditures: Other Household Expenses by Deciles of Income Before Taxes: Eighth 10 Percent (71st to 80th Percentile) (CXUHHOTHXPNLB1509M) from 2014 to 2023 about percentile, tax, expenditures, households, income, and USA.

United States CES: Average Annual Expenditure data was reported at 77,280.000 USD in 2023. This records an increase from the previous number of 72,967.000 USD for 2022. United States CES: Average Annual Expenditure data is updated yearly, averaging 42,106.000 USD from Dec 1984 (Median) to 2023, with 40 observations. The data reached an all-time high of 77,280.000 USD in 2023 and a record low of 21,975.000 USD in 1984. United States CES: Average Annual Expenditure data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H065: Consumer Expenditure Survey.

Abstract

The General Household Survey-Panel (GHS-Panel) is implemented in collaboration with the World Bank Living Standards Measurement Study (LSMS) team as part of the Integrated Surveys on Agriculture (ISA) program. The objectives of the GHS-Panel include the development of an innovative model for collecting agricultural data, interinstitutional collaboration, and comprehensive analysis of welfare indicators and socio-economic characteristics. The GHS-Panel is a nationally representative survey of approximately 5,000 households, which are also representative of the six geopolitical zones. The 2023/24 GHS-Panel is the fifth round of the survey with prior rounds conducted in 2010/11, 2012/13, 2015/16 and 2018/19. The GHS-Panel households were visited twice: during post-planting period (July - September 2023) and during post-harvest period (January - March 2024).

Geographic coverage

National

Analysis unit

• Households • Individuals • Agricultural plots • Communities

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The original GHS‑Panel sample was fully integrated with the 2010 GHS sample. The GHS sample consisted of 60 Primary Sampling Units (PSUs) or Enumeration Areas (EAs), chosen from each of the 37 states in Nigeria. This resulted in a total of 2,220 EAs nationally. Each EA contributed 10 households to the GHS sample, resulting in a sample size of 22,200 households. Out of these 22,200 households, 5,000 households from 500 EAs were selected for the panel component, and 4,916 households completed their interviews in the first wave.

After nearly a decade of visiting the same households, a partial refresh of the GHS‑Panel sample was implemented in Wave 4 and maintained for Wave 5. The refresh was conducted to maintain the integrity and representativeness of the sample. The refresh EAs were selected from the same sampling frame as the original GHS‑Panel sample in 2010. A listing of households was conducted in the 360 EAs, and 10 households were randomly selected in each EA, resulting in a total refresh sample of approximately 3,600 households.

In addition to these 3,600 refresh households, a subsample of the original 5,000 GHS‑Panel households from 2010 were selected to be included in the new sample. This “long panel” sample of 1,590 households was designed to be nationally representative to enable continued longitudinal analysis for the sample going back to 2010. The long panel sample consisted of 159 EAs systematically selected across Nigeria’s six geopolitical zones.

The combined sample of refresh and long panel EAs in Wave 5 that were eligible for inclusion consisted of 518 EAs based on the EAs selected in Wave 4. The combined sample generally maintains both the national and zonal representativeness of the original GHS‑Panel sample.

Sampling deviation

Although 518 EAs were identified for the post-planting visit, conflict events prevented interviewers from visiting eight EAs in the North West zone of the country. The EAs were located in the states of Zamfara, Katsina, Kebbi and Sokoto. Therefore, the final number of EAs visited both post-planting and post-harvest comprised 157 long panel EAs and 354 refresh EAs. The combined sample is also roughly equally distributed across the six geopolitical zones.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The GHS-Panel Wave 5 consisted of three questionnaires for each of the two visits. The Household Questionnaire was administered to all households in the sample. The Agriculture Questionnaire was administered to all households engaged in agricultural activities such as crop farming, livestock rearing, and other agricultural and related activities. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.

GHS-Panel Household Questionnaire: The Household Questionnaire provided information on demographics; education; health; labour; childcare; early child development; food and non-food expenditure; household nonfarm enterprises; food security and shocks; safety nets; housing conditions; assets; information and communication technology; economic shocks; and other sources of household income. Household location was geo-referenced in order to be able to later link the GHS-Panel data to other available geographic data sets (forthcoming).

GHS-Panel Agriculture Questionnaire: The Agriculture Questionnaire solicited information on land ownership and use; farm labour; inputs use; GPS land area measurement and coordinates of household plots; agricultural capital; irrigation; crop harvest and utilization; animal holdings and costs; household fishing activities; and digital farming information. Some information is collected at the crop level to allow for detailed analysis for individual crops.

GHS-Panel Community Questionnaire: The Community Questionnaire solicited information on access to infrastructure and transportation; community organizations; resource management; changes in the community; key events; community needs, actions, and achievements; social norms; and local retail price information.

The Household Questionnaire was slightly different for the two visits. Some information was collected only in the post-planting visit, some only in the post-harvest visit, and some in both visits.

The Agriculture Questionnaire collected different information during each visit, but for the same plots and crops.

The Community Questionnaire collected prices during both visits, and different community level information during the two visits.

Cleaning operations

CAPI: Wave five exercise was conducted using Computer Assisted Person Interview (CAPI) techniques. All the questionnaires (household, agriculture, and community questionnaires) were implemented in both the post-planting and post-harvest visits of Wave 5 using the CAPI software, Survey Solutions. The Survey Solutions software was developed and maintained by the Living Standards Measurement Unit within the Development Economics Data Group (DECDG) at the World Bank. Each enumerator was given a tablet which they used to conduct the interviews. Overall, implementation of survey using Survey Solutions CAPI was highly successful, as it allowed for timely availability of the data from completed interviews.

DATA COMMUNICATION SYSTEM: The data communication system used in Wave 5 was highly automated. Each field team was given a mobile modem which allowed for internet connectivity and daily synchronization of their tablets. This ensured that head office in Abuja had access to the data in real-time. Once the interview was completed and uploaded to the server, the data was first reviewed by the Data Editors. The data was also downloaded from the server, and Stata dofile was run on the downloaded data to check for additional errors that were not captured by the Survey Solutions application. An excel error file was generated following the running of the Stata dofile on the raw dataset. Information contained in the excel error files were then communicated back to respective field interviewers for their action. This monitoring activity was done on a daily basis throughout the duration of the survey, both in the post-planting and post-harvest.

DATA CLEANING: The data cleaning process was done in three main stages. The first stage was to ensure proper quality control during the fieldwork. This was achieved in part by incorporating validation and consistency checks into the Survey Solutions application used for the data collection and designed to highlight many of the errors that occurred during the fieldwork.

The second stage cleaning involved the use of Data Editors and Data Assistants (Headquarters in Survey Solutions). As indicated above, once the interview is completed and uploaded to the server, the Data Editors review completed interview for inconsistencies and extreme values. Depending on the outcome, they can either approve or reject the case. If rejected, the case goes back to the respective interviewer’s tablet upon synchronization. Special care was taken to see that the households included in the data matched with the selected sample and where there were differences, these were properly assessed and documented. The agriculture data were also checked to ensure that the plots identified in the main sections merged with the plot information identified in the other sections. Additional errors observed were compiled into error reports that were regularly sent to the teams. These errors were then corrected based on re-visits to the household on the instruction of the supervisor. The data that had gone through this first stage of cleaning was then approved by the Data Editor. After the Data Editor’s approval of the interview on Survey Solutions server, the Headquarters also reviews and depending on the outcome, can either reject or approve.

The third stage of cleaning involved a comprehensive review of the final raw data following the first and second stage cleaning. Every variable was examined individually for (1) consistency with other sections and variables, (2) out of range responses, and (3) outliers. However, special care was taken to avoid making strong assumptions when resolving potential errors. Some minor errors remain in the data where the diagnosis and/or solution were unclear to the data cleaning team.

Response

Graph and download economic data for Expenditures: Mortgage Interest and Charges by Composition of Consumer Unit: Single Person and Other Consumer Units (CXUOWNMORTGLB0610M) from 1984 to 2023 about consumer unit, mortgage, expenditures, personal, interest, and USA.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Deciles of Income Before Taxes: Fifth 10 Percent (41st to 50th Percentile) (CXUTOTALEXPLB1506M) from 2014 to 2023 about percentile, tax, average, expenditures, income, and USA.

United States CES: $150 to 199.999 Th: AAE: HG: Household Operations (HO) data was reported at 2,878.000 USD in 2023. This records a decrease from the previous number of 3,151.000 USD for 2022. United States CES: $150 to 199.999 Th: AAE: HG: Household Operations (HO) data is updated yearly, averaging 2,834.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 3,151.000 USD in 2022 and a record low of 2,712.000 USD in 2015. United States CES: $150 to 199.999 Th: AAE: HG: Household Operations (HO) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H067: Consumer Expenditure Survey: by Income Level.

Graph and download economic data for Expenditures: Household Textiles: All Consumer Units (CXUHHTXTILELB0101M) from 1984 to 2023 about consumer unit, textiles, expenditures, households, and USA.