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TwitterThese family food datasets contain more detailed information than the ‘Family Food’ report and mainly provide statistics from 2001 onwards. The UK household purchases and the UK household expenditure spreadsheets include statistics from 1974 onwards. These spreadsheets are updated annually when a new edition of the ‘Family Food’ report is published.
The ‘purchases’ spreadsheets give the average quantity of food and drink purchased per person per week for each food and drink category. The ‘nutrient intake’ spreadsheets give the average nutrient intake (e.g. energy, carbohydrates, protein, fat, fibre, minerals and vitamins) from food and drink per person per day. The ‘expenditure’ spreadsheets give the average amount spent in pence per person per week on each type of food and drink. Several different breakdowns are provided in addition to the UK averages including figures by region, income, household composition and characteristics of the household reference person.
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TwitterThis map shows the average amount spent on meals away from home at restaurants or other per household in the U.S. in 2020 in a multiscale map (by country, state, county, ZIP Code, tract, and block group).The pop-up is configured to include the following information for each geography level:Average annual spending on meals at restaurants per householdAverage annual spending on all food away from home per householdAverage annual spending on food by meal typeThis map shows Esri's 2020 U.S. Consumer Spending Data in Census 2010 geographies. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data.Esri's 2020 U.S. Consumer Spending database provides the details about which products and services consumers buy, including total dollars spent, average amount spent per household, and a Spending Potential Index. Esri's Consumer Spending database identifies hundreds of items in more than 15 categories, including apparel, food and beverage, financial, entertainment and recreation, and household goods and services. See Consumer Spending database to view the methodology statement and complete variable list.Additional Esri Resources:Esri DemographicsU.S. 2020/2025 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.
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TwitterThis table contains 624 series, with data for years 2010 - 2010 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...); Statistic (1 item: Average expenditure per household); Food expenditures, summary-level categories (48 items: Food expenditures; Food purchased from stores; Bakery products;Bread and unsweetened rolls and buns; ...).
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Egypt Average Household Expenditure: Percentage Distribution: CO: CR: Food and Beverages data was reported at 34.400 % in 2015. This records a decrease from the previous number of 36.000 % for 2013. Egypt Average Household Expenditure: Percentage Distribution: CO: CR: Food and Beverages data is updated yearly, averaging 39.900 % from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 44.500 % in 2005 and a record low of 34.400 % in 2015. Egypt Average Household Expenditure: Percentage Distribution: CO: CR: Food and Beverages data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H010: Average Household Expenditure.
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TwitterSurvey of Household Spending (SHS), average household spending by household type.
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This table contains 2356 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 (31 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household expenditure summary-level categories (19 items: Total expenditure; Total current consumption; Food; Shelter;...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).
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TwitterThe Consumer Expenditure Estimates dataset was created by SimplyAnalytics using small area estimation techniques. The Consumer Expenditure (CE) Public Use Microdata (PUMD) samples thousands of respondents (referred to as consumer units, or "CUs") across Texas. Each CU is assigned a weight that reflects the relative proportion of all American CUs that they represent. To estimate expenditures at the Census block group and ZCTA5 levels, we use data from the American Community Survey 5-Year Estimates as a proxy for how CUs are distributed over small areas, and use this information to derive expenditure estimates for all CE spending categories. Due to limitations on the PUMD sample size, and to account for national-level weighting of all CUs, the estimates are further adjusted to account for regional fluctuations in cost of living.
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TwitterThis web map displays a ratio of the average annual household expenditure on "food at home" to "food away from home." Some of the patterns are quite interesting.Red area households spend noticeably more at home, blue area households spend noticeably more away from home. Households in an "average" area tend to spend $1.38 on food at home for every $1.00 on food away from home. Red areas are above this average, and blue areas are below this average. Yellow areas are average.Data is shown at the county, tract and block group levels using consistent colors and classifications. Put this map in your web browser or Esri iPhone/iPad app.There's a very nice visual of consumer expenditures data here.These are just two of the hundreds of variables available in the Esri Consumer Spending database. Esri combined the 2005-2006 Consumer Expenditure Surveys from the Bureau of Labor Statistics to estimate current spending patterns. The continuing surveys include a Diary Survey for daily purchases and an Interview Survey for general purchases. The Diary Survey represents record keeping by consumer units for two consecutive weeklong periods. This component collects data on small daily purchases that could be overlooked by the quarterly Interview Survey. The Interview Survey collects expenditure data from consumers in five interviews conducted every three months. Esri integrates data from both surveys to provide a comprehensive database on all consumer expenditures. To compensate for the relatively small survey bases and the variability of single-year data, expenditures are averaged from the 2005–2006 surveys.Esri's 2010 Consumer Spending database details which products and services area consumers buy. Updated annually, the Consumer Spending database contains more than 760 items in 15 categories such as apparel, food, and financial. The database includes information about total dollars spent, the average amount spent by household, and a Spending Potential Index that compares local average product expenditures to the national average.
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Jordan Average Household Expenditure: per Capita: Food and Non Alcoholic Beverages (FB) data was reported at 690.000 JOD in 2013. This records an increase from the previous number of 631.200 JOD for 2010. Jordan Average Household Expenditure: per Capita: Food and Non Alcoholic Beverages (FB) data is updated yearly, averaging 567.400 JOD from Mar 2002 (Median) to 2013, with 5 observations. The data reached an all-time high of 690.000 JOD in 2013 and a record low of 358.300 JOD in 2002. Jordan Average Household Expenditure: per Capita: Food and Non Alcoholic Beverages (FB) data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Jordan – Table JO.H002: Average Household Expenditure per Capita.
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Average weekly household expenditure on goods and services in the UK. 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.
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TwitterSurvey of Household Spending (SHS), average household spending on detailed food categories.
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Bangladesh HIES: Household Expenditure per Month: Urban: Food data was reported at 15,875.000 BDT in 2022. This records an increase from the previous number of 8,254.000 BDT for 2016. Bangladesh HIES: Household Expenditure per Month: Urban: Food data is updated yearly, averaging 7,362.000 BDT from Dec 2000 (Median) to 2022, with 5 observations. The data reached an all-time high of 15,875.000 BDT in 2022 and a record low of 3,175.000 BDT in 2000. Bangladesh HIES: Household Expenditure per Month: Urban: Food data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.H011: Household Income and Expenditure Survey: Average Monthly Expenditure per Household.
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Chile Monthly Average Household Expenditure: Northern Macrozone: Food & Non-Alcoholic Drinks data was reported at 332,901.000 CLP in 2022. Chile Monthly Average Household Expenditure: Northern Macrozone: Food & Non-Alcoholic Drinks data is updated yearly, averaging 332,901.000 CLP from Dec 2022 (Median) to 2022, with 1 observations. The data reached an all-time high of 332,901.000 CLP in 2022 and a record low of 332,901.000 CLP in 2022. Chile Monthly Average Household Expenditure: Northern Macrozone: Food & Non-Alcoholic Drinks data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.H031: Household Budget Survey: Monthly Average Household Expenditure.
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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.
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Average weekly household expenditure on goods and services in the UK. 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.
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The dataset contains data on the average monthly expenditure of Milanese households for the consumption of food and non-food items. Within the two aforementioned types, goods are grouped by expense category (eg bread and cereals, meat) and within each category by sub-category (eg meat category - white meat sub-category). Alongside the average monthly expenditure calculated on the whole of households, there are two other items useful for completing the picture: the average calculated with respect to actual purchasers which indicates the average monthly expenditure for each category and sub-category of expenditure, calculated taking into account only the households actually buy the goods in that specific category (for example, not all households buy fish, therefore the average is lower if calculated on all households in the sample, but rises if calculated only on the households that consume it). The other item is the purchase frequency which indicates the percentage of households that consume goods belonging to each specific sub-category. The data refer to the period 2007-2013 and are expressed in euro. The source of the data is the survey "Consu-Mi, Observatory on the consumption of households residing in the Municipality of Milan - 2013 edition" conducted by the Chamber of Commerce in collaboration with the Municipality of Milan. Note: a subsequent edition of the 'investigation.
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A household food consumption and expenditure survey has been conducted each year in Great Britain (excluding Northern Ireland) since 1940. At that time the National Food Survey (NFS) covered a sample drawn solely from urban working-class households, but this was extended to a fully demographically representative sample in 1950. From 1957 onwards the Family Expenditure Survey (FES) provided information on all household expenditure patterns including food expenditure, with the NFS providing more detailed information on food consumption and expenditure. The NFS was extended to cover Northern Ireland from 1996 onwards. In April 2001 these surveys were combined to form the Expenditure and Food Survey (EFS), which completely replaced both series. From January 2008, the EFS became known as the Living Costs and Food (LCF) module of the Integrated Household Survey (IHS). As a consequence of this change, the questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprised the IHS. Some of these core questions are simply questions which were previously asked in the same or a similar format on all of the IHS component surveys. For further information on the LCF questionnaire, see Volume A of the LCF 2008 User Guide, held with SN 6385. Further information about the LCF, including links to published reports based on the survey, may be found by searching for 'Living Costs and Food Survey' on the ONS website. Further information on the NFS and Living Costs and Food Module of the IHS can be found by searching for 'Family Food' on the GOV.UK website.
History:
The LCF (then EFS) was the result of more than two years' development work to bring together the FES and NFS; both survey series were well-established and important sources of information for government and the wider community, and had charted changes and patterns in spending and food consumption since the 1950s. Whilst the NFS and FES series are now finished, users should note that previous data from both series are still available from the UK Data Archive, under GNs 33071 (NFS) and 33057 (FES).
Purpose of the LCF
The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data element. As with the FES and NFS, the LCF continues to be primarily used to provide information for the Retail Prices Index, National Accounts estimates of household expenditure, analysis of the effect of taxes and benefits, and trends in nutrition. The results are multi-purpose, however, providing an invaluable supply of economic and social data. The merger of the two surveys also brings benefits for users, as a single survey on food expenditure removes the difficulties of reconciling data from two sources.
Design and methodology
The design of the LCF is based on the old FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous structure. The most significant change in terms of reporting expenditure, however, is the introduction of the European Standard Classification of Individual Consumption by Purpose (COICOP), in place of the codes previously used. An additional level of hierarchy has been developed to improve the mapping to the previous codes. The LCF was conducted on a financial year basis from 2001, then moved to a calendar year basis from January 2006 (to complement the IHS) until 2015-16, when the financial year survey was reinstated at the request of users. Therefore, whilst SN 5688 covers April 2005 - March 2006, SN 5986 covers January-December 2006. Subsequent years cover January-December until 2014. SN 8210 returns to the financial year survey and currently covers April 2015 - March 2016.
Northern Ireland sample
Users should note that, due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF was reduced to a sample proportionate to the NI population relative to the UK.
Family Food database:
'Family Food' is an annual publication which provides detailed statistical information on purchased quantities, expenditure and nutrient intakes derived from both household and eating out food and drink. Data is collected for a sample of households in the United Kingdom using self-reported diaries of all purchases, including food eaten out, over a two week period. Where possible quantities are recorded in the diaries but otherwise estimated. Energy and nutrient intakes are calculated using standard nutrient composition data for each of some 500 types of food. Current estimates are based on data collected in the Family Food Module of the LCFS. Further information about the LCF food databases can be found on the GOV.UK Family Food Statistics web pages.
Secure Access version
A Secure Access version of the LCF from 2006 onwards is available from the UK Data Archive under SN 7047, subject to stringent access conditions. The Secure Access version includes variables that are not included in the standard End User Licence (EUL) version, including geographical variables with detail below Government Office Region, to postcode level; urban/rural area indicators; other sensitive variables; raw diary information files (derived variables are available in the EUL) and the family expenditure codes files. Users are strongly advised to check whether the EUL version is sufficient for their needs before considering an application for the Secure Access version.
Occupation data for 2021 and 2022 data files
The ONS have identified an issue with the collection of some
occupational data in 2021 and 2022 data files in a number of their
surveys. While they estimate any impacts will be small overall, this
will affect the
accuracy of the breakdowns of some detailed (four-digit Standard
Occupational
Classification (SOC)) occupations, and data derived from them. None of
ONS' headline
statistics, other than those directly sourced from occupational data,
are affected and you
can continue to rely on their accuracy. For further information on this
issue, please see:
https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys.
Users who require the Family Food data should make sure to download the Access zip file alongside their desired format (SPSS, Stata or tab-delimited) of the ONS expenditure data.
March 2021: data errors identified
An error has been identified in the Living Cost and Food (LCF) Survey which has been found to impact the Family spending in the UK: April 2018 to March 2019 release. The biggest impact is on expenditure on transport (6% increase), specifically on loans or hire purchase of vehicles. To a lesser degree income (decrease of 2%) has also been affected. The overall impact is that average weekly household expenditure in the UK was underestimated by around 1%, while the interpretation of the statistics remains the same.
These errors were caused by a small number of questionnaire changes made in April 2018 not being reflected correctly in the LCF downstream processing systems. The release and datasets have now been corrected (see fourth edition statement below). ONS apologise for any inconvenience. Please contact Carla.kidd@ons.gov.uk for more information.
Latest edition information
For the fourth edition (May 2021), updated data and documentation files were deposited. An error had been identified which had been found to impact the Family Spending in the UK: April 2018 to March 2019 release, resulting in errors in transport expenditure and household expenditure. Full details of the issues are provided in the documentation (and above), and the errors have now been corrected.
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This dataset provides detailed budget allocation insights for urban and rural households in India, capturing present living standards. The data includes various spending areas such as housing, food, transportation, healthcare, education, and discretionary expenses. The dataset is designed to help researchers, policymakers, and individuals understand spending habits and optimize budget planning.
Context: The dataset is derived from various government reports, surveys, and market research studies that provide a snapshot of the current economic conditions and living standards in India. It includes average income levels, typical expenses, and common savings patterns for both urban and rural households.
Sources:
National Sample Survey Office (NSSO) Ministry of Statistics and Programme Implementation (MoSPI) Various market research reports and publications Inspiration: The inspiration behind this dataset is to provide a clear and detailed picture of how households in different regions of India allocate their budgets. This can be a valuable resource for economists, social scientists, financial advisors, and anyone interested in understanding the financial behavior of Indian households.
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Average weekly household expenditure on goods and services in the UK. 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.
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Norway Average Household Expenditure: FB: Food data was reported at 46,014.000 NOK in 2012. This records an increase from the previous number of 42,054.000 NOK for 2009. Norway Average Household Expenditure: FB: Food data is updated yearly, averaging 33,450.000 NOK from Dec 1999 (Median) to 2012, with 12 observations. The data reached an all-time high of 46,014.000 NOK in 2012 and a record low of 28,997.000 NOK in 1999. Norway Average Household Expenditure: FB: Food data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.H016: Average Household Expenditure.
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TwitterThese family food datasets contain more detailed information than the ‘Family Food’ report and mainly provide statistics from 2001 onwards. The UK household purchases and the UK household expenditure spreadsheets include statistics from 1974 onwards. These spreadsheets are updated annually when a new edition of the ‘Family Food’ report is published.
The ‘purchases’ spreadsheets give the average quantity of food and drink purchased per person per week for each food and drink category. The ‘nutrient intake’ spreadsheets give the average nutrient intake (e.g. energy, carbohydrates, protein, fat, fibre, minerals and vitamins) from food and drink per person per day. The ‘expenditure’ spreadsheets give the average amount spent in pence per person per week on each type of food and drink. Several different breakdowns are provided in addition to the UK averages including figures by region, income, household composition and characteristics of the household reference person.