Family food datasets
Detailed annual statistics on family food and drink purchases.
These 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.
UK (updated with FYE 2025 data)
Countries and regions (CR) (updated with FYE 2025 data)
Countries and regions (CR) (2018/19 data)
Equivalised income decile group (EID) (updated with FYE 2025 data)
Equivalised income decile group (EID) (2018/19 data)
Household composition (HC) (updated with FYE 2025 data)
Household composition (HC) (2018/19 data)
Urban and rural (UR) (updated with FYE 2025 data)
Urban and rural (UR) (2016/17 data)
Age of household reference person (AGE) (updated with FYE 2025 data)
Age of household reference person (AGE) (2018/19 data)
Ethnic origin group of the household reference person (ETH) (2017/18 and 2018/19 data)
Economic status of the household reference person (ECON) (2017/18 and 2018/19 data)
Age that the household reference person ceased full-time education (AED) (2016/17 data)
Occupation of the household reference person (OCC) (2016/17 data)
Gross income quintile group (GIQ) (2016/17 data)
Codebank files
Each year we compile summary data files from the diary entries, and this summary data is used to create the datasets. We call these ‘codebanks’. This year we are again providing some of these files in machine readable .csv format for anyone to re-use. We are offering the files relating to the datasets we have updated with 2024/25 data. Previous year codebank files are now available on request. If you find these codebank files useful please let us know.
Codebank glossary
| Term | Definition |
|---|---|
| q | Quantity |
| w | Weight |
| m | Members of the household |
| combined_desc | Demographic code concatenated with the food code |
| Estimate | 0.5 x (qw ÷ mw) |
| calc1 | qw2 ÷ (qw x qw) |
| calc2 | 2 x qwmw ÷ (qw x mw) |
| calc3 | mw2 ÷ (mw x mw) |
| Standard_error | Estimate x √(calc1 - calc2 + calc3) |
| residual_standard_error | Standard_error x 100 ÷ estimate |
FYE 2025 Codebank files
| Purchases | Expenditure | |
|---|---|---|
| UK | Cons_UK_202425.csv | Exp_UK_202425.csv |
| Region | Cons_CR_202425.csv | Exp_GOR_202425.csv |
| Equivalised Income Decile | Cons_EID_202425.csv | Exp_EID_202425.csv |
| Household Composition | Cons_HC_202425.csv | Exp_HCOMP_202425.csv |
| Age of Household Reference Person | Cons_AGEHRP_202425.csv | Exp_AGEHRP_202425.csv |
| Urban Rural | Cons_URBANRURAL_202425.csv | Exp_URBANRURAL_202425.csv |
FYE 2024 Codebank files
| Purchases | Expenditure | |
|---|---|---|
| UK | Cons_UK_202324.csv | Exp_UK_202324.csv |
| Region | Cons_CR_202324.csv | Exp_GOR_202324.csv |
| Equivalised Income Decile | Cons_EID_202324.csv | Exp_EID_202324.csv |
| Household Composition | Cons_HC_202324.csv | Exp_HCOMP_202324.csv |
| Age of Household Reference Person | Cons_AGEHRP_202324.csv | Exp_AGEHRP_202324.csv |
| Urban Rural | Cons_URBANRURAL_202324.csv | Exp_URBANRURAL_202324.csv |
FYE 2023 Codebank files
| Purchases | Expenditure | |
|---|---|---|
| UK | Cons_UK_202223.csv | Exp_UK_FYE2023.csv |
| Region | Cons_CR_202223.csv | Exp_GOR_202223.csv |
| Equivalised Income Decile | Cons_EID_202223.csv | Exp_EID_FYE2023.csv |
| Household Composition | Cons_HC_202223.csv | Exp_HC_FYE2023.csv |
| Age of Household Reference Person | Cons_AGEHRP_FYE2023.csv | Exp_AGEHRP_FYE2023.csv |
| Urban Rural | Cons_URBANRURAL_202223.csv | Exp_URBANRURAL_FYE2023.csv |
FYE 2022 Codebank files
| Purchases | Expenditure | |
|---|---|---|
| UK | Cons_UK_202122.csv | Exp_UK_FYE2022.csv |
| Region | Cons_CR_202122.csv | Exp_CR_FYE2022.csv |
| Equivalised Income Decile | Cons_EID_202122 | Exp_EID_FYE2022.csv |
| Household Composition | Cons_HC_202122.csv | Exp_HC_FYE2022.csv |
| Age of Household Reference Person | Cons_AGEHRP_202122.csv | Exp_AGEHRP_FYE2022.csv |
| Urban Rural | Cons_URBANRURAL_202122.csv | Exp_URBANRURAL_FYE2022.csv |
2020/21 Codebank files
| Purchases | Expenditure | |
|---|---|---|
| UK | Cons_UK_202021.csv | Exp_UK_202021.csv |
| Region | Cons_CR_202021.csv | Exp_CR_202021.csv |
| Equivalised Income Decile | Cons_EID_202021.csv | Exp_EID_202021.csv |
| Household Composition | Cons_HC_202021.csv | Exp_HC_202021.csv |
| Age of Household Reference Person | Cons_AGEHRP_202021.csv | Exp_AGEHRP_202021.csv |
2019/20 Codebank files
| Purchases | Expenditure | |
|---|---|---|
| UK | Cons_UK_201920.csv | Exp_UK_201920.csv |
| Region | Cons_CR_201920.csv | Exp_CR_201920.csv |
| Equivalised Income Decile | Cons_EID_201920.csv | Exp_EID_201920.csv |
| Household Composition | Cons_HC_201920.csv | Exp_HC_201920.csv |
| Age of Household Reference Person | Cons_AGEHRP_201920.csv | Exp_AGEHRP_201920.csv |
| Ethnic origin group of Household Reference Person | Cons_ETH_201920.csv | Exp_ETH_201920.csv |
2018/19 Codebank files
| Purchases | Expenditure | Nutrient Intakes | |
|---|---|---|---|
| UK | Cons_UK_201819.csv | Exp_UK_201819.csv | Int_UK_201819.csv |
| Region | Cons_CR_201819.csv | Exp_CR_201819.csv | Int_CR_201819.csv |
| Equivalised Income Decile | Cons_EID_201819.csv | Exp_EID_201819.csv | Int_EID_201819.csv |
| Household Composition | Cons_HC_201819.csv | Exp_HC_201819.csv | Int_HC_201819.csv |
| Age of Household Reference Person | Cons_AGEHRP_201819.csv | Exp_AGEHRP_201819.csv | Int_AGEHRP_201819.csv |
| Ethnic origin group of Household Reference Person | Cons_ETH_201819.csv | Exp_ETH_201819.csv | Int_ETH_201819.csv |
| Economic activity of Household Reference Person | Cons_ECON_201819.csv | Exp_ECON_201819.csv | Int_ECON_201819.csv |
2017/18 Codebank files
| Purchases | Expenditure | Nutrient Intakes | |
|---|---|---|---|
| UK | Cons_UK_201718.csv | Exp_UK_201718.csv | Int_UK_201718.csv |
| Country or Region | Cons_CR_201718.csv | Exp_CR_201718.csv | Int_CR_201718.csv |
| Equivalised Income Decile | Cons_EID_201718.csv | Exp_EID_201718.csv | Int_EID_201718.csv |
| Household Composition | Cons_HC_201718.csv | Exp_HC_201718.csv | Int_HC_201718.csv |
| Age of Household Reference Person | Cons_AGEHRP_201718.csv | Exp_AGEHRP_201718.csv | Int_AGEHRP_201718.csv |
| Ethnic origin group of Household Reference Person | Cons_ETH_201718.csv | Exp_ETH_201718.csv | Int_ETH_201718.csv |
| Economic status of Household Reference Person | Cons_ECON_201718.csv | Exp_ECON_201718.csv | Int_ECON_201718.csv |
Defra statistics: family food
Email familyfood@defra.gov.uk
You can also contact us via Twitter: https://x.com/DefraStats