Time series data for the commodity Primary Commodity Prices, Coffee index . Indicator Definition:Primary Commodity Prices, Coffee index The indicator "Primary Commodity Prices, Coffee index " stands at 223.80 as of 8/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 11.39 percent compared to the value the year prior.The 1 year change in percent is 11.39.The 3 year change in percent is 55.61.The 5 year change in percent is 146.61.The 10 year change in percent is 132.43.The Serie's long term average value is 93.49. It's latest available value, on 8/31/2025, is 139.38 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 10/31/2001, to it's latest available value, on 8/31/2025, is +638.31%.The Serie's change in percent from it's maximum value, on 2/28/2025, to it's latest available value, on 8/31/2025, is -18.14%.

Time series data for the commodity Primary Commodity Prices, Groundnuts . Indicator Definition:Primary Commodity Prices, Groundnuts The indicator "Primary Commodity Prices, Groundnuts " stands at 2.66 Thousand as of 8/31/2025, the highest value since 8/31/2023. Regarding the One-Year-Change of the series, the current value constitutes an increase of 6.14 percent compared to the value the year prior.The 1 year change in percent is 6.14.The 3 year change in percent is 10.15.The 5 year change in percent is 37.86.The 10 year change in percent is 30.10.The Serie's long term average value is 1.42 Thousand. It's latest available value, on 8/31/2025, is 87.57 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 5/31/2002, to it's latest available value, on 8/31/2025, is +353.38%.The Serie's change in percent from it's maximum value, on 7/31/2023, to it's latest available value, on 8/31/2025, is -1.65%.

Summary of Commodity Price Relationships Across Data Sources.

Time series data for the commodity Primary Commodity Prices, Vegetables, Tomato. Indicator Definition:Primary Commodity Prices, Vegetables, TomatoThe indicator "Primary Commodity Prices, Vegetables, Tomato" stands at 3.90 as of 08/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 12.86 percent compared to the value the year prior.The 1 year change in percent is 12.86.The 3 year change in percent is 42.51.The 5 year change in percent is 22.99.The 10 year change in percent is 38.59.

Time series data for the commodity Primary Commodity Prices, Legumes, Chickpea. Indicator Definition:Primary Commodity Prices, Legumes, ChickpeaThe indicator "Primary Commodity Prices, Legumes, Chickpea" stands at 69.52 as of 08/31/2025. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -21.67 percent compared to the value the year prior.The 1 year change in percent is -21.67.The 3 year change in percent is 15.89.The 5 year change in percent is 13.91.The 10 year change in percent is -3.35.The Serie's long term average value is 64.55. It's latest available value, on 08/31/2025, is 7.71 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 03/31/2009, to it's latest available value, on 08/31/2025, is +66.53%.The Serie's change in percent from it's maximum value, on 10/31/2016, to it's latest available value, on 08/31/2025, is -55.84%.

Results of formal equivalence tests to assess correspondence between weekly enumerators (Er) and crowdsourced data (Cr) commodity prices over an eight-month period (March - October 2021), and between monthly crowdsourced data (Cr) and AI-imputed (AI) food prices, over a 3-year period (2019-2021).

The data set records the retail price of commodities and the price index of agricultural means of production in Qinghai Province. The data is divided according to the retail price of commodities and the price index of agricultural means of production in 1998. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of five data tables Retail price of commodities and price index of agricultural means of production in the whole province, 1998.xls The retail price of commodities and the price index of agricultural means of production in the whole province, 1999.xls Retail price of commodities and price index of agricultural means of production in the whole province, 2000.xls Commodity retail price and agricultural means of production price index 2001.xls The retail price of commodities and the price index of agricultural means of production in 2002. XLS have the same data table structure. For example, there are four fields in the data table of retail price of commodities and price index of agricultural means of production in 1998 Field 1: Category Field 2: Province Field 3: City Field 4: Rural

Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data was reported at 1.870 % in 2022. This records a decrease from the previous number of 2.840 % for 2021. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data is updated yearly, averaging 2.840 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 5.340 % in 2001 and a record low of 1.870 % in 2022. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Trade Tariffs. Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Time series data for the commodity Primary Commodity Prices, Hard Sawnwood, Dark Red Meranti . Indicator Definition:Primary Commodity Prices, Hard Sawnwood, Dark Red Meranti The indicator "Primary Commodity Prices, Hard Sawnwood, Dark Red Meranti " stands at 732.64 as of 8/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 3.95 percent compared to the value the year prior.The 1 year change in percent is 3.95.The 3 year change in percent is 12.13.The 5 year change in percent is 1.82.The 10 year change in percent is -13.80.The Serie's long term average value is 717.36. It's latest available value, on 8/31/2025, is 2.13 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 1/31/1998, to it's latest available value, on 8/31/2025, is +77.24%.The Serie's change in percent from it's maximum value, on 8/31/2011, to it's latest available value, on 8/31/2025, is -24.75%.

Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).

The datasets comprise greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data for 2022. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors provides kg carbon dioxide equivalents (CO2e) per 2022 U.S. dollar (USD) for all GHGs combined using 100-yr global warming potentials from IPCC 5th report (AR5) to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors provides kg of each unique GHG emitted per 2022 dollar per commodity without the CO2e calculation. The dollar in the denominator of all factors uses purchaser prices. See the supporting file 'Aboutv1.3SupplyChainGHGEmissionFactors.docx' for complete documentation of this dataset.

Chad TD: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 23.790 % in 2022. This records an increase from the previous number of 17.530 % for 2016. Chad TD: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 19.110 % from Dec 1995 (Median) to 2022, with 17 observations. The data reached an all-time high of 24.840 % in 2004 and a record low of 15.920 % in 1997. Chad TD: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Chad TD: Tariff Rate: Applied: Weighted Mean: Manufactured Products data was reported at 15.520 % in 2022. This records a decrease from the previous number of 16.100 % for 2016. Chad TD: Tariff Rate: Applied: Weighted Mean: Manufactured Products data is updated yearly, averaging 13.420 % from Dec 1995 (Median) to 2022, with 17 observations. The data reached an all-time high of 16.100 % in 2016 and a record low of 10.530 % in 2004. Chad TD: Tariff Rate: Applied: Weighted Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Belgium BE: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 0.840 % in 2022. This records a decrease from the previous number of 1.340 % for 2021. Belgium BE: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 1.690 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 4.800 % in 2001 and a record low of 0.830 % in 2020. Belgium BE: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belgium – Table BE.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Context

Supermarkets around the world use Price Look Up Codes to encode and catalogue their produce items. Those are the numbers that you find on stickers on bananas or apples. The International Federation for Produce Standards (IFPS) is the global organisation that maintains and assigns those codes in a standardised way.

Content

This dataset contains the currently defined Price Look Up Codes; about 1,500 distinct numbers at the time this dataset was first published on Kaggle. The data has been derived via the PLU search on the IFPS website. I will keep the data updated as new codes are added or items are revised.

Alongside the Price Look Up Codes the data contains the produce item's category, measurements, dates of addition to the database, and others. Features are described below. After downloading the data, I'm adding some light wrangling operations to clean column names, remove empty columns, adjust date formats, and to tidy some strings.

Column Description

Most of the feature names are pretty self-explanatory. I've put together this list with the help of the IFPS website. Note, that some columns contain a significant percentage of NA values.

• plu: Numeric Price Look Up Code. Primary key.

• category: String feature corresponding to a low-cardinaly categorical; e.g. "fruits" or "vegetables".

• commodity: High-cardinality string categorical that is more specific than category; e.g. "apples" vs "oranges" for fruit.

• variety: High-cardinality string categorical that is more specific than commodity; e.g. "Alkmene" vs "Golden Delicious Blush" for apples.

• size: Which sizes does the product come in? Low-cardinality string categorical; e.g. "small" vs "large".

• measurements_north_america: String. "The size (count 100 or 88) refers to the number of fruits/vegetables in a standard box most commonly in use in N. America" (IFPS). Large percentage of NAs.

• measurements_rest_of_world: String. "Average fruit/vegetable weight or diameter is not a minimum weight or diameter, but the average weight or diameter of the items contained in the box irrespective of its size (capacity)" (IFPS). Large percentage of NAs.

• restrictions: String. Mostly specifying restrictions on the geographical usage of the code. Large percentage of NAs.

• botanical: String. Botanical name.

• aka: String. Also known as.

• updated_at: Date. When the information in this row was revised.

• created_at: Date. When the code was added to the database.

Acknowledgements

All credit for creating this dataset goes to the International Federation for Produce Standards.

Banner and vignette photo by Rithika Gopalakrishnan on Unsplash.

Chad TD: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 16.800 % in 2022. This records an increase from the previous number of 16.360 % for 2016. Chad TD: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 14.380 % from Dec 1995 (Median) to 2022, with 17 observations. The data reached an all-time high of 16.800 % in 2022 and a record low of 12.690 % in 2004. Chad TD: Tariff Rate: Applied: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

The data set records the price index of agricultural means of production in Qinghai Province and the investigated counties. The data are divided according to the retail prices of commodities and the price index of agricultural means of production in the investigated cities and counties. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 30 data tables The price index of agricultural means of production of the whole province and investigated counties in 2003.xls The price index of agricultural means of production of the whole province and investigated counties in 2004.xls The price index of agricultural means of production of the whole province and investigated counties in 2005.xls The price index of agricultural means of production of the whole province and investigated counties in 2006.xls The price index of agricultural means of production of the whole province and investigated counties 2007.xls Price index of agricultural means of production of the whole province and investigated counties, 2008.xls Price index of agricultural means of production of the whole province and investigated counties, 2009.xls Price index of agricultural means of production of the whole province and investigated counties, 2010.xls Price index of agricultural means of production of the whole province and investigated counties, 2011.xls Price index of agricultural means of production of the whole province and investigated counties, 2012.xls Price index of agricultural means of production of the whole province and investigated counties, 2013.xls Price index of agricultural means of production of the whole province and investigated counties, 2014.xls Price index of agricultural means of production of the whole province and investigated counties, 2015.xls Price index of agricultural means of production of the whole province and investigated counties, 2016.xls Price index of agricultural means of production of the whole province and investigated counties, 2017.xls Price index of agricultural means of production of the whole province and investigated counties, 2018.xls Fixed base price index of agricultural means of production of the whole province and investigated counties, 2006.xls Fixed base price index of agricultural means of production of the whole province and investigated counties 2007.xls Fixed base price index of agricultural means of production of the whole province and investigated counties, 2008.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed, 1998.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed, 1999.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed in 2000.xls Price index of commodity retail and agricultural means of production in cities and counties in 2001.xls Price index of commodity retail and agricultural means of production in cities and counties in 2002.xls Price base index of agricultural means of production of the whole province and investigated counties, 2009.xls Price base index of agricultural means of production of the whole province and investigated counties, 2010.xls The price fixed base index of agricultural means of production of the whole province and the investigated counties, 2011.xls Price base index of agricultural means of production of the whole province and investigated counties, 2012.xls Price base index of agricultural means of production of the whole province and investigated counties, 2013.xls The structure of 2014. XLS data table is the same. For example, there are seven fields in the 1999 data table of commodity retail prices and agricultural means of production price index of cities and counties surveyed Field 1: Province Field 2: Datong County Field 3: Ledu District Field 4: safe area Field 5: Haiyan County Field 6: Tongren County Field 7: Gonghe County

Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data was reported at 0.760 % in 2022. This records a decrease from the previous number of 1.770 % for 2021. Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data is updated yearly, averaging 1.010 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 6.750 % in 1989 and a record low of 0.760 % in 2022. Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Belarus BY: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 2.380 % in 2021. This records an increase from the previous number of 0.980 % for 2020. Belarus BY: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 1.390 % from Dec 1996 (Median) to 2021, with 19 observations. The data reached an all-time high of 7.010 % in 1997 and a record low of 0.860 % in 2009. Belarus BY: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Comoros KM: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 3.920 % in 2021. This records a decrease from the previous number of 4.300 % for 2020. Comoros KM: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 3.530 % from Dec 2008 (Median) to 2021, with 12 observations. The data reached an all-time high of 7.260 % in 2017 and a record low of 2.350 % in 2019. Comoros KM: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).