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Food And Non-Food Retail Market size was valued at USD 12 Trillion in 2024 and is projected to reach USD 16.55 Trillion by 2031, growing at a CAGR of 3.6% from 2024 to 2031
Food And Non-Food Retail Market Drivers
Consumer Preferences and Behavior: Changing consumer preferences, including preferences for healthier food options, organic products, and ethically sourced goods, influence the retail market. Non-food retailers also respond to shifts in consumer behavior, such as the growing demand for online shopping and omnichannel retail experiences.
Economic Factors: Economic indicators such as GDP growth, disposable income levels, unemployment rates, and consumer confidence affect consumer spending patterns in both food and non-food retail sectors. During economic downturns, consumers may prioritize essential goods over discretionary purchases, impacting retail sales.
Population Demographics: Population demographics, such as aging populations, urbanization trends, and changes in household sizes, influence retail market dynamics. For example, aging populations may drive demand for healthcare products and services, while urbanization can lead to increased demand for convenience foods and online shopping options.
Between January 1, 2023, and March 19, 2023, prices of non-edible consumer packaged goods remained inflationary at an index level of 109. Non-edible consumer goods include products in the beauty, home care, general merchandise, health, and tobacco category. A level above 100 was considered to be inflationary, whereas a level below 100 denoted deflation.
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This dataset contains data on annual average retail prices of non-food goods and other selected services in Latvia in 1919-1939. Dataset "Annual Average Retail Prices of Non-Food Goods and Other Selected Services in Latvia, 1913-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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Russia Structure of Retail Price: Corvalol: Retailers Costs for Delivery and Sell data was reported at 17.900 % in 2017. This records a decrease from the previous number of 18.080 % for 2016. Russia Structure of Retail Price: Corvalol: Retailers Costs for Delivery and Sell data is updated yearly, averaging 17.590 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 20.000 % in 2014 and a record low of 11.150 % in 2010. Russia Structure of Retail Price: Corvalol: Retailers Costs for Delivery and Sell data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Russia Structure of Retail Price: Male Jacket: Retailers Costs for Delivery and Sell data was reported at 18.810 % in 2017. This records an increase from the previous number of 15.230 % for 2016. Russia Structure of Retail Price: Male Jacket: Retailers Costs for Delivery and Sell data is updated yearly, averaging 17.245 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 18.810 % in 2017 and a record low of 15.140 % in 2015. Russia Structure of Retail Price: Male Jacket: Retailers Costs for Delivery and Sell data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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This dataset contains data on annual average retail prices of non-food goods in Lithuania in 1919-1939. Dataset "Annual Average Retail Prices of Non-Food Goods in Lithuania, 1913-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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Russia Structure of Retail Price: Amoxicillin: Costs for Delivery data was reported at 1.430 % in 2017. This records a decrease from the previous number of 1.490 % for 2016. Russia Structure of Retail Price: Amoxicillin: Costs for Delivery data is updated yearly, averaging 1.060 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 1.490 % in 2016 and a record low of 0.620 % in 2010. Russia Structure of Retail Price: Amoxicillin: Costs for Delivery data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Graph and download economic data for Unit Labor Costs for Retail Trade: Supermarkets and Other Grocery (Except Convenience) Stores (NAICS 445110) in the United States (IPUHN445110U101000000) from 1988 to 2023 about groceries, unit labor cost, NAICS, retail trade, sales, retail, and USA.
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Russia Structure of Retail Price: Gasoline: AI-95 & Higher: Retailers Costs for Delivery and Sell data was reported at 8.960 % in 2017. This records a decrease from the previous number of 9.200 % for 2016. Russia Structure of Retail Price: Gasoline: AI-95 & Higher: Retailers Costs for Delivery and Sell data is updated yearly, averaging 9.385 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 12.170 % in 2010 and a record low of 8.570 % in 2014. Russia Structure of Retail Price: Gasoline: AI-95 & Higher: Retailers Costs for Delivery and Sell data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
Between December 31, 2022, and March 18, 2023, prices of non-edible consumer packaged goods remained inflationary at an index level above 100, reaching 112 as of March 18, 2023. Non-edible consumer goods include products in the beauty and health, household products, and other non-food categories. A level above 100 was considered to be inflationary, whereas a level below 100 denoted deflation.
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Russia Structure of Retail Price: Schoolchildren Jacket: VAT Accrued by Retailer data was reported at 2.690 % in 2017. This records an increase from the previous number of 2.660 % for 2016. Russia Structure of Retail Price: Schoolchildren Jacket: VAT Accrued by Retailer data is updated yearly, averaging 3.020 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 5.150 % in 2010 and a record low of 2.460 % in 2013. Russia Structure of Retail Price: Schoolchildren Jacket: VAT Accrued by Retailer data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Russia Structure of Retail Price: Amoxicillin: Production Expenses incl Commercial Expenses data was reported at 24.770 % in 2017. This records a decrease from the previous number of 25.270 % for 2016. Russia Structure of Retail Price: Amoxicillin: Production Expenses incl Commercial Expenses data is updated yearly, averaging 24.095 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 25.430 % in 2015 and a record low of 22.170 % in 2012. Russia Structure of Retail Price: Amoxicillin: Production Expenses incl Commercial Expenses data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Russia Structure of Retail Price: Amoxicillin: Recycling Waste and Related Products data was reported at 0.000 % in 2017. This stayed constant from the previous number of 0.000 % for 2016. Russia Structure of Retail Price: Amoxicillin: Recycling Waste and Related Products data is updated yearly, averaging 0.000 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 0.000 % in 2017 and a record low of 0.000 % in 2017. Russia Structure of Retail Price: Amoxicillin: Recycling Waste and Related Products data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Russia Structure of Retail Price: Children T-Shirt: Retail Price data was reported at 100.000 % in 2017. This stayed constant from the previous number of 100.000 % for 2016. Russia Structure of Retail Price: Children T-Shirt: Retail Price data is updated yearly, averaging 100.000 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 100.000 % in 2017 and a record low of 100.000 % in 2017. Russia Structure of Retail Price: Children T-Shirt: Retail Price data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
In 2023, non-food goods had the largest share in retail sales at current prices in Poland. The second-largest category (22.3 percent) was the sale of food and non-alcoholic beverages.
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Russia Structure of Retail Price: Male Shirt: Other Taxes data was reported at 0.000 % in 2017. This stayed constant from the previous number of 0.000 % for 2016. Russia Structure of Retail Price: Male Shirt: Other Taxes data is updated yearly, averaging 0.000 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 0.000 % in 2017 and a record low of 0.000 % in 2017. Russia Structure of Retail Price: Male Shirt: Other Taxes data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
In 2024, German consumer prices in general increased by around 2.2 percent compared to the year before. Retail prices rose by around 1.6 percent., while prices for food and non-alcoholic beverages increased by almost two percent. The timeline shows the year-on-year change of consumer, retail and food prices in Germany from 2000 to 2024.
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Russia Structure of Retail Price: Winter Boots and Shoes for Pre Schoolchildren: Costs for Delivery data was reported at 2.790 % in 2017. This records a decrease from the previous number of 2.930 % for 2016. Russia Structure of Retail Price: Winter Boots and Shoes for Pre Schoolchildren: Costs for Delivery data is updated yearly, averaging 2.455 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 3.230 % in 2010 and a record low of 1.840 % in 2015. Russia Structure of Retail Price: Winter Boots and Shoes for Pre Schoolchildren: Costs for Delivery data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Russia Structure of Retail Price: Winter Boots for Schoolchildren: Genuine Leather: Retail Price data was reported at 100.000 % in 2017. This stayed constant from the previous number of 100.000 % for 2016. Russia Structure of Retail Price: Winter Boots for Schoolchildren: Genuine Leather: Retail Price data is updated yearly, averaging 100.000 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 100.000 % in 2017 and a record low of 100.000 % in 2017. Russia Structure of Retail Price: Winter Boots for Schoolchildren: Genuine Leather: Retail Price data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF002: Structure of Retail Price: Non Food Products: Annual.
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Retail Price: DOAC: Burnol: 25 Grams: National Capital: Delhi data was reported at 30.000 INR/Unit in Mar 2010. This stayed constant from the previous number of 30.000 INR/Unit for Feb 2010. Retail Price: DOAC: Burnol: 25 Grams: National Capital: Delhi data is updated monthly, averaging 30.000 INR/Unit from Jan 2005 (Median) to Mar 2010, with 52 observations. The data reached an all-time high of 30.000 INR/Unit in Mar 2010 and a record low of 14.000 INR/Unit in May 2005. Retail Price: DOAC: Burnol: 25 Grams: National Capital: Delhi data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Price – Table IN.PC179: Retail Price: Department of Agriculture and Cooperation: Non Food: by Cities: Burnol (Discontinued).
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Food And Non-Food Retail Market size was valued at USD 12 Trillion in 2024 and is projected to reach USD 16.55 Trillion by 2031, growing at a CAGR of 3.6% from 2024 to 2031
Food And Non-Food Retail Market Drivers
Consumer Preferences and Behavior: Changing consumer preferences, including preferences for healthier food options, organic products, and ethically sourced goods, influence the retail market. Non-food retailers also respond to shifts in consumer behavior, such as the growing demand for online shopping and omnichannel retail experiences.
Economic Factors: Economic indicators such as GDP growth, disposable income levels, unemployment rates, and consumer confidence affect consumer spending patterns in both food and non-food retail sectors. During economic downturns, consumers may prioritize essential goods over discretionary purchases, impacting retail sales.
Population Demographics: Population demographics, such as aging populations, urbanization trends, and changes in household sizes, influence retail market dynamics. For example, aging populations may drive demand for healthcare products and services, while urbanization can lead to increased demand for convenience foods and online shopping options.