Overview of systematic review results
| Author | Year | Country/region | State of food | Method | Study methodology | Food supply chain: (kg/capita)/year | Total | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Agricultural production | Postharvest handling and storage | Processing and packaging | Distribution | Consumption | |||||||
| Abdulla et al. (2013) | 2009 | Canada | Edible and inedible | Used secondary Statistics Canada data, which in turn used USDA ‘waste factors’, and World Bank data to develop estimates | Indirect | 308·2 | |||||
| AAFC (2015) | 2010 | Canada | Edible and inedible | Used Statistics Canada and USDA data to develop estimate | Indirect | 54·5 | 121·5 | ||||
| Bernstad et al. (2012) | 2008 | Sweden | Edible and inedible | Weighing all waste leaving the study area and repeated waste composition analyses of large samples from all fractions | Direct | 95·7 | |||||
| Bernstad et al. (2013) | 2009 | Sweden | Edible and inedible | Weighing of all waste fractions, repeated waste composition analyses of disposed waste and a questionnaire | Direct | 68·8 | |||||
| Brautigam et al. (2014) | 2006 | EU | Edible and inedible | Calculations are based on a FAO mass flow methodology (based on Food Balance Sheets, described in Gustavsson et al., 2011, 2013) | Indirect | 95·2 | 30·6 | 33·5 | 14·4 | 114·8 | 288·5 |
| Buzby and Hyman (2012) | 2008 | USA | Edible | Compiled estimates of food loss using the USDA ERS's (2014) Loss-Adjusted Food Availability (LAFA) data | Indirect | 188·0 | |||||
| Buzby et al. (2014) | 2010 | USA | Edible | Compiled estimates of food loss using the USDA ERS's (2014) LAFA data | Indirect | 63·3 | 195·0 | ||||
| Defra (2010) | 2007 | England | Edible and inedible | The results from various curbside and recycling depot waste audits were summarised to develop an estimate of waste quantity and composition, including food waste | Direct | 83·2 | |||||
| EC (2010) | 2006 | EU | Edible and inedible | Used 2006 Eurostat data and various national sources to compile total food waste per country | Indirect | 70·0 | 33·9 | 75·9 | 179·8 | ||
| Edjabou et al. (2015) | 2013 | Denmark | Edible and inedible | A waste auditing methodology was developed and used to estimate the composition, including food waste, of curbside single family and multi residential waste | Direct | 86·6 | |||||
| Edjabou et al. (2015) | 2013 | Denmark | Edible and inedible | A waste auditing methodology was developed and used to estimate the composition, including food waste, of curbside single family and multi residential waste | Direct | 75·3 | |||||
| Garrone et al. (2014) | Not provided | Italy | Edible and inedible | Case studies were used to develop an extrapolated estimate of the amount of food waste generated from food processing and distribution/retail sales in Italy | Indirect | 3·0 | 13·0 | ||||
| Griffin et al. (2009) | 1999 | USA | Edible and inedible | A case study was conducted in a single upper New York State County to estimate food waste generation along the FSC. Information was gathered through interviews and from published county, state and national sources | Indirect | 19·3 | 1·2 | 17·6 | 57·6 | 95·6 | |
| Gustavsson et al. (2011) | 2007 | North America and Oceania | Edible | Used FAO datasets and assumptions to address data gaps to develop estimates of FLW along the FSC | Indirect | 115·0 | 300·0 | ||||
| Gustavsson et al. (2011) | 2007 | Europe | Edible | Used FAO datasets and assumptions to address data gaps to develop estimates of FLW along the FSC | Indirect | 95·0 | 280·0 | ||||
| Hodges et al. (2010) | 2008 | USA | Edible | Used 2008 USDA ERS, data to develop an estimate of food waste | Indirect | 64·0 | 123·8 | ||||
| Jones (2006) | Not provided | USA | Edible and inedible | No explanation of methods | 213·6 | ||||||
| Jones (2005) | Not provided | USA | Edible and inedible | No explanation of methods | 106·4 | 296 | |||||
| Kantor et al. (1997) | 1995 | USA | Edible and inedible | The USDA ERS (2014) developed preliminary estimates of food waste generation by retail, food service and consumer sectors. Many of the studies on which these estimates are based date from the mid-1970s or before | Indirect | 9·3 | 155·0 | 266·3 | |||
| Katajajuuri et al. (2014) and Silvennoinen et al. (2014) | 2010 | Finland | Edible | Household food waste data was collected through a diary study. Food service sector data was collected by way of on site (i.e. weighing of food waste along various parts of food service chain – for example, cooking, serving, customer leftovers). Retail sector and industry data was collected by way of interviews of various parties in the supply chain | Direct | 14·0–26·0 | 26·0–30·0 | 23·0 | |||
| Langley et al. (2010) | Not provided | UK | Edible and inedible | Tested a method of quantifying (self-weighing) and estimating the composition (through use of a diary) of food waste disposed by households | Direct | 72·6 | |||||
| Lebersorger and Schneider (2011) | 2009 | Austria | Edible and inedible | Calculated the number (n) of urban and rural waste samples to collect and sort on the basis of a 95% confidence level, using mean and standard deviation (SD) data from previous waste analyses | Direct | 49·6 | |||||
| Lebersorger and Schneider (2011) | 2009 | Austria | Edible and inedible | Calculated the number (n) of urban and rural waste samples to collect and sort on the basis of a 95% confidence level, using mean and SD data from previous waste analyses | Direct | 18·8 | |||||
| Matsuto and Ham (1990) | 1989 | USA | Edible and inedible | Waste samples collected from curb in Madison, Wisconsin and Sapporo, Japan and manually sorted into a number of categories, including food waste | Direct | 65·3 | |||||
| Matsuto and Ham (1990) | 1988 | Japan | Edible and inedible | Waste samples collected from curb in Madison, Wisconsin and Sapporo, Japan and manually sorted into a number of categories, including food waste | Direct | 123·0 | |||||
| Okazaki et al. (2008) | 2005 | Hawaii, USA | Edible and inedible | Information collected on food establishments and their practices came from the State of Hawaii Department of Health list of permitted food establishments and a food waste recycling survey was developed and distributed to all permit holders | Direct | 240·9 | |||||
| Parizeau et al. (2015) | 2015 | Canada | Edible and inedible | Data from green bin only and did not include household garbage destined for landfill. Also allowable green bin items include other items besides food waste | Direct | 217·4 | |||||
| USDA ERS (2014) | 2010 | USA | Edible and inedible | Compiled estimates of food loss using the USDA ERS's (2014) LAFA data | Indirect | 194·9 | |||||
| USEPA (2009) | 2008 | USA | Edible and inedible | USEPA collects and reports on waste generation and disposal data in the USA and has done so for the last 30 years. Municipal solid waste (MSW) includes household, commercial and institutional waste | Indirect | 104·5 | |||||
| USEPA (2014) | 2012 | USA | Edible and inedible | USEPA collects and reports on waste generation and disposal data in the USA and has done so for the last 30 years. MSW includes household, commercial and institutional waste | Indirect | 116·0 | |||||
| WRAP (2009) | 2007 | UK | Edible and inedible | Estimates of solid and liquid food waste were derived from annual waste generation totals obtained from municipalities, waste composition studies and diary research | Direct | 134·3 | |||||
| WRAP (2013b) | 2011 | UK | Edible and inedible | Gathered production and retail data and applied estimates of food waste to develop estimates. Developed a mass balance to estimate food waste types and how are they are managed | Direct | 61·7 | 7·1 | ||||
| WRAP (2013a) | 2012 | UK | Edible and inedible | The estimates for household food and drink waste were derived from a summary of waste audits and kitchen diary research | Direct | 130·3 | |||||
| Agricultural production | Postharvest handling and storage | Processing and packaging | Distribution | Consumption | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009 | Canada | Edible and inedible | Used secondary Statistics Canada data, which in turn used USDA ‘waste factors’, and World Bank data to develop estimates | Indirect | 308·2 | ||||||
| 2010 | Canada | Edible and inedible | Used Statistics Canada and USDA data to develop estimate | Indirect | 54·5 | 121·5 | |||||
| 2008 | Sweden | Edible and inedible | Weighing all waste leaving the study area and repeated waste composition analyses of large samples from all fractions | Direct | 95·7 | ||||||
| 2009 | Sweden | Edible and inedible | Weighing of all waste fractions, repeated waste composition analyses of disposed waste and a questionnaire | Direct | 68·8 | ||||||
| 2006 | EU | Edible and inedible | Calculations are based on a FAO mass flow methodology (based on Food Balance Sheets, described in | Indirect | 95·2 | 30·6 | 33·5 | 14·4 | 114·8 | 288·5 | |
| 2008 | USA | Edible | Compiled estimates of food loss using the | Indirect | 188·0 | ||||||
| 2010 | USA | Edible | Compiled estimates of food loss using the | Indirect | 63·3 | 195·0 | |||||
| 2007 | England | Edible and inedible | The results from various curbside and recycling depot waste audits were summarised to develop an estimate of waste quantity and composition, including food waste | Direct | 83·2 | ||||||
| 2006 | EU | Edible and inedible | Used 2006 Eurostat data and various national sources to compile total food waste per country | Indirect | 70·0 | 33·9 | 75·9 | 179·8 | |||
| 2013 | Denmark | Edible and inedible | A waste auditing methodology was developed and used to estimate the composition, including food waste, of curbside single family and multi residential waste | Direct | 86·6 | ||||||
| 2013 | Denmark | Edible and inedible | A waste auditing methodology was developed and used to estimate the composition, including food waste, of curbside single family and multi residential waste | Direct | 75·3 | ||||||
| Not provided | Italy | Edible and inedible | Case studies were used to develop an extrapolated estimate of the amount of food waste generated from food processing and distribution/retail sales in Italy | Indirect | 3·0 | 13·0 | |||||
| 1999 | USA | Edible and inedible | A case study was conducted in a single upper New York State County to estimate food waste generation along the FSC. Information was gathered through interviews and from published county, state and national sources | Indirect | 19·3 | 1·2 | 17·6 | 57·6 | 95·6 | ||
| 2007 | North America and Oceania | Edible | Used FAO datasets and assumptions to address data gaps to develop estimates of FLW along the FSC | Indirect | 115·0 | 300·0 | |||||
| 2007 | Europe | Edible | Used FAO datasets and assumptions to address data gaps to develop estimates of FLW along the FSC | Indirect | 95·0 | 280·0 | |||||
| 2008 | USA | Edible | Used 2008 USDA ERS, data to develop an estimate of food waste | Indirect | 64·0 | 123·8 | |||||
| Not provided | USA | Edible and inedible | No explanation of methods | 213·6 | |||||||
| Not provided | USA | Edible and inedible | No explanation of methods | 106·4 | 296 | ||||||
| 1995 | USA | Edible and inedible | The | Indirect | 9·3 | 155·0 | 266·3 | ||||
| 2010 | Finland | Edible | Household food waste data was collected through a diary study. Food service sector data was collected by way of on site (i.e. weighing of food waste along various parts of food service chain – for example, cooking, serving, customer leftovers). Retail sector and industry data was collected by way of interviews of various parties in the supply chain | Direct | 14·0–26·0 | 26·0–30·0 | 23·0 | ||||
| Not provided | UK | Edible and inedible | Tested a method of quantifying (self-weighing) and estimating the composition (through use of a diary) of food waste disposed by households | Direct | 72·6 | ||||||
| 2009 | Austria | Edible and inedible | Calculated the number ( | Direct | 49·6 | ||||||
| 2009 | Austria | Edible and inedible | Calculated the number ( | Direct | 18·8 | ||||||
| 1989 | USA | Edible and inedible | Waste samples collected from curb in Madison, Wisconsin and Sapporo, Japan and manually sorted into a number of categories, including food waste | Direct | 65·3 | ||||||
| 1988 | Japan | Edible and inedible | Waste samples collected from curb in Madison, Wisconsin and Sapporo, Japan and manually sorted into a number of categories, including food waste | Direct | 123·0 | ||||||
| 2005 | Hawaii, USA | Edible and inedible | Information collected on food establishments and their practices came from the State of Hawaii Department of Health list of permitted food establishments and a food waste recycling survey was developed and distributed to all permit holders | Direct | 240·9 | ||||||
| 2015 | Canada | Edible and inedible | Data from green bin only and did not include household garbage destined for landfill. Also allowable green bin items include other items besides food waste | Direct | 217·4 | ||||||
| 2010 | USA | Edible and inedible | Compiled estimates of food loss using the | Indirect | 194·9 | ||||||
| 2008 | USA | Edible and inedible | USEPA collects and reports on waste generation and disposal data in the USA and has done so for the last 30 years. Municipal solid waste (MSW) includes household, commercial and institutional waste | Indirect | 104·5 | ||||||
| 2012 | USA | Edible and inedible | USEPA collects and reports on waste generation and disposal data in the USA and has done so for the last 30 years. MSW includes household, commercial and institutional waste | Indirect | 116·0 | ||||||
| 2007 | UK | Edible and inedible | Estimates of solid and liquid food waste were derived from annual waste generation totals obtained from municipalities, waste composition studies and diary research | Direct | 134·3 | ||||||
| 2011 | UK | Edible and inedible | Gathered production and retail data and applied estimates of food waste to develop estimates. Developed a mass balance to estimate food waste types and how are they are managed | Direct | 61·7 | 7·1 | |||||
| 2012 | UK | Edible and inedible | The estimates for household food and drink waste were derived from a summary of waste audits and kitchen diary research | Direct | 130·3 | ||||||
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