Over the time period observed, average online prices for home improvement products have typically been lower than in-person prices. In the second half of 2024, the average price paid for home improvement products online was 19 U.S. dollars lower than the price paid in-store.

This table contains the average annual prices of a selection of goods since 2000. The average price is calculated for a chosen quantity which you can find in the subject explanations. The quality of some goods changes over the years. The purpose of this table is to present the price of products currently in demand and to give insight into the average price for that year. Alterations are mentioned in the subject explanations.

Data available from 2000 to 2018.

Status of the figures: All values are definite.

Changes as from 7 November 2019: This table will no longer be updated.

When will new figures be added? Does not apply.

The top 25 beauty and personal care products on Amazon are priced on average 13.46 dollars, according to data from the second quarter of 2024. When looking at the median cost of these items, it is slightly less at 11.87 U.S. dollars. These top beauty and personal care items have an average of around 83,800 online reviews and a 4.5-star rating. Price sensitivity in beauty e-commerce Price plays a crucial role in the success of beauty products on Amazon. The majority of bestselling beauty items fall within the one to ten dollar range, followed closely by products priced between 11 and 20 U.S. dollars. This pricing strategy aligns well with the average price point of 13.46 dollars for top beauty products, catering to price-conscious online shoppers. The affordability factor likely contributes to the high volume of reviews these products receive, as more consumers can access and try them. Brand dominance and market trends The beauty landscape on Amazon is dynamic, with brand leadership shifting throughout the year. While L'Oréal Paris led the pack in early 2023 with a 22 percent market share, CeraVe emerged as the front-runner by July, generating over 13 million U.S. dollars in gross merchandise value. This shift reflects changing consumer preferences and the growing popularity of skincare products, which account for 32 percent of the top 25 beauty items sold on the platform. The success of these brands, coupled with Amazon's projected growth in health and beauty sales from 44 billion to 79.4 billion U.S. dollars by 2027, underscores the platform's significance in the beauty e-commerce sector.

China Taobao Online Sales: Product Average Price data was reported at 33.860 RMB in Aug 2020. This records an increase from the previous number of 33.000 RMB for Jul 2020. China Taobao Online Sales: Product Average Price data is updated monthly, averaging 32.380 RMB from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 36.800 RMB in Jan 2020 and a record low of 26.290 RMB in Jun 2020. China Taobao Online Sales: Product Average Price data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

When deciding on how to estimate future prices, due to influences that are likely to affect a product, we should consider two factors: the expected inflation and the real price change. The rate of real price change allows us to plot a trend line based on time series reflecting existing or past market price, that is, on "facts". Usually, many potential users are not going to use sophisticated forecasting techniques to estimate future prices, preferring to rely on simple approximation techniques. If acceptable time price series is available, then the simplest approach is to evidence a trend line over time that can be extended into the future. This can be done with regression analysis. In working with historical data, we could arrive at a medium-term trend estimate, which excludes the effects of inflation. Although the real price of forest products does not usually vary in an exponential way, the normal practice in investment analyses is often simplified by compounding price using a real price change rate. We can get the annual rate of real price change (r) from a linearized model that allows us to keep the statistical robustness of a linear regression model (with statistics, confidence indicators and tests), but applying the compound rate approach used in mathematics of finance. To do that, the well-known basic formula for compounding Pn=P0 (1+r)^n, where: Pn = estimated price in year n P0= price in year 0 r = annual rate of real price change (the real compound rate) n = number of years from year 0

is transformed into that of a straight line by making a change of variables (linearization).

The proposed method is easy to reproduce and seems more orthodox than apply projections made using a simple straight-line model. Even though the straight-line represents an average variation over the years, from a mathematics of finance approach we should discuss price variation in terms of the annual compound rate. In Figure 1, you can see the differences between these approaches. If we have a clear trend in past real prices and the likelihood of a real price variation, we could make future price assumptions. If you agree with this statement and believe that price trend based on historical patterns is a significative information, then you should use r value gotten from the linearized model here proposed to project the price according to the previous compounding equation, where P0 is any real price calculated through the linearized compounding model (Table I). In Catalonia, most of forest products prices have not kept up with inflation and reflect a declining trend. A few others have just barely kept up with inflation. This is means that, despite moderate growth in nominal terms, the real price of almost all Catalan forest products presents a negative trend. For example, Scots pine sawlogs -the most representative harvested species in Catalonia (the 27% of the total volume yearly logged)- have dropped by an average of almost 2% per year since 1980.

Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.

China Tmall Online Sales: Product Average Price data was reported at 75.150 RMB in Aug 2020. This records an increase from the previous number of 73.260 RMB for Jul 2020. China Tmall Online Sales: Product Average Price data is updated monthly, averaging 71.730 RMB from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 95.460 RMB in Nov 2019 and a record low of 66.030 RMB in Jul 2019. China Tmall Online Sales: Product Average Price data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

China Personal Care and Daily Use Good: Taobao Online Sales: Product Average Price data was reported at 45.452 RMB in Mar 2025. This records an increase from the previous number of 44.420 RMB for Feb 2025. China Personal Care and Daily Use Good: Taobao Online Sales: Product Average Price data is updated monthly, averaging 48.591 RMB from Jan 2019 (Median) to Mar 2025, with 75 observations. The data reached an all-time high of 75.905 RMB in Apr 2022 and a record low of 28.566 RMB in May 2019. China Personal Care and Daily Use Good: Taobao Online Sales: Product Average Price data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: By Category.

Beauty was one of the segments experiencing the highest price increases on Amazon in the United States between 2021 and 2022. As of August 2022, the price of beauty products registered a median price increase of ** percent in the previous 12 months. Boys' apparel, in turn, only showed a price growth of *** percent.

Kazakhstan Average Price: Non Food Products: Men's Trousers data was reported at 11,504.000 KZT/Unit in 2017. This records an increase from the previous number of 10,839.000 KZT/Unit for 2016. Kazakhstan Average Price: Non Food Products: Men's Trousers data is updated yearly, averaging 3,615.000 KZT/Unit from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 11,504.000 KZT/Unit in 2017 and a record low of 1,170.000 KZT/Unit in 1996. Kazakhstan Average Price: Non Food Products: Men's Trousers data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.P002: Average Price: Consumer Goods and Services.

Fresh whole milk, fortified, sold per gallon regardless of packaging type. Includes organic and non-organic milk."

Kazakhstan Average Price: Non Food Products: Soap data was reported at 114.000 KZT/200 g in 2017. This records an increase from the previous number of 103.000 KZT/200 g for 2016. Kazakhstan Average Price: Non Food Products: Soap data is updated yearly, averaging 34.500 KZT/200 g from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 114.000 KZT/200 g in 2017 and a record low of 23.000 KZT/200 g in 1998. Kazakhstan Average Price: Non Food Products: Soap data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.P002: Average Price: Consumer Goods and Services.

Average Price of Product: Fresh Vegetables: Green Round Beans data was reported at 165.900 DZD/kg in Nov 2022. This records a decrease from the previous number of 209.190 DZD/kg for Oct 2022. Average Price of Product: Fresh Vegetables: Green Round Beans data is updated monthly, averaging 124.470 DZD/kg from May 2004 (Median) to Nov 2022, with 132 observations. The data reached an all-time high of 263.370 DZD/kg in May 2018 and a record low of 24.170 DZD/kg in Jun 2005. Average Price of Product: Fresh Vegetables: Green Round Beans data remains active status in CEIC and is reported by National Office of Statistics. The data is categorized under Global Database’s Algeria – Table DZ.P001: Average Price of Food Products.

Algeria Average Price of Product: Fresh Fruits: Lemon data was reported at 343.960 DZD/kg in Mar 2023. This records an increase from the previous number of 336.230 DZD/kg for Feb 2023. Algeria Average Price of Product: Fresh Fruits: Lemon data is updated monthly, averaging 107.760 DZD/kg from Dec 2003 (Median) to Mar 2023, with 172 observations. The data reached an all-time high of 480.020 DZD/kg in Jun 2022 and a record low of 38.350 DZD/kg in Feb 2006. Algeria Average Price of Product: Fresh Fruits: Lemon data remains active status in CEIC and is reported by National Office of Statistics. The data is categorized under Global Database’s Algeria – Table DZ.P001: Average Price of Food Products.

Algeria Average Price of Product: Fresh Vegetables: Tomatoes data was reported at 151.920 DZD/kg in Mar 2023. This records a decrease from the previous number of 161.340 DZD/kg for Feb 2023. Algeria Average Price of Product: Fresh Vegetables: Tomatoes data is updated monthly, averaging 70.000 DZD/kg from Dec 2003 (Median) to Mar 2023, with 232 observations. The data reached an all-time high of 189.140 DZD/kg in Dec 2021 and a record low of 13.370 DZD/kg in Aug 2005. Algeria Average Price of Product: Fresh Vegetables: Tomatoes data remains active status in CEIC and is reported by National Office of Statistics. The data is categorized under Global Database’s Algeria – Table DZ.P001: Average Price of Food Products.

Fresh whole milk, fortified, sold per gallon regardless of packaging type. Includes organic and non-organic milk."

The statistic shows the average retail price of apparel products from Walmart and Target in the United States as of 2018. In 2018, Walmart's average apparel price was 10.82 U.S. dollars, compared to 14.79 U.S. dollars at Target.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Cereals and Bakery Products in U.S. City Average (CUSR0000SAF111) from Jan 1989 to Jun 2025 about bakeries, cereal, urban, production, consumer, CPI, inflation, price index, indexes, price, and USA.

Pre-packaged, bulk ice cream, sold in cardboard container regardless of package size, flavor, or dietary features. Includes organic and non-organic ice cream."

This dataset is designed for analyzing various product categories within the Japanese market. It provides information about each product category's size, growth rate, market share, competitor market shares, average price, customer demographics, online presence, and market saturation. Here's a breakdown of each column:

Product Category: The type of products or services being analyzed within the Japanese market.

Total Market Size (in USD): The estimated total market size in terms of US dollars for each product category. This figure reflects the overall revenue potential for that category.

Market Growth Rate (%): The projected annual growth rate of each product category's market. This percentage indicates how much the market is expected to expand or contract over time.

Market Share (%): The percentage of the total market size that each product category holds. This reflects the relative importance of each category within the overall market.

Competitor 1 Market Share (%): The market share percentage of the first major competitor within each product category. This helps to understand the competitive landscape.

Competitor 2 Market Share (%): The market share percentage of the second major competitor within each product category. Similar to the previous column, this provides insight into the competitive environment.

Average Price (in USD): The average price of products or services within each product category. This information helps understand the pricing dynamics of the category.

Customer Demographics: The primary target audience or customer segments for each product category. Understanding the demographics helps in tailoring marketing efforts.

Online Presence (%): The percentage of businesses within each product category that have an online presence. This includes websites, social media, and other digital platforms.

Market Saturation (%): An estimate of how much of the potential market demand has already been captured by existing products or services within each category. A higher percentage indicates a more saturated market.