This table contains a selection of weighted average retail prices for the current and previous months. These weighted average retail prices were calculated from prices collected in the June 2006 month. Subsequent months' weighted average prices are then calculated by applying price index movements for the relevant items. These are not statistically accurate measures of average transaction price levels, but are reliable indicators of percentage changes in prices.

In 2024, the Nikkei 225 index closed at ********* points. The index surpassed a 34-year-old record in February and reached a new all-time high in July 2024. The Nikkei 225 is a price-weighted stock market index that has been calculated by the Nihon Keizai Shimbun (Nikkei) newspaper since 1950. It comprises 225 constituents listed on the Prime Market of the Tokyo Stock Exchange.

Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

In an effort to further coordinate and harmonize the collection of CPI data, the international organizations agreed that the International Monetary Fund (IMF) and the Organisation for Economic Cooperation and Development (OECD) would assume responsibility for the international collection and dissemination of national CPI data. Under this data collection initiative, countries are reporting the aggregate all items index; more detailed indexes and weights for 12 subgroups of consumption expenditure (according to the so-called COICOP-classification), and detailed metadata. These detailed data represent a valuable resource for data users throughout the world and this portal would not be possible without the ongoing cooperation of all reporting countries. In this effort, the OECD collects and validates the data for their member countries, including accession and key partner countries, whereas the IMF takes care of the collection of data for all other countries.

Japan Output Price Index: Mfg: GM: MI: Electronic Calculator data was reported at 98.100 1995=100 in Jun 2005. This stayed constant from the previous number of 98.100 1995=100 for May 2005. Japan Output Price Index: Mfg: GM: MI: Electronic Calculator data is updated monthly, averaging 98.100 1995=100 from Jan 1995 (Median) to Jun 2005, with 126 observations. The data reached an all-time high of 102.900 1995=100 in Apr 1998 and a record low of 96.200 1995=100 in Oct 2000. Japan Output Price Index: Mfg: GM: MI: Electronic Calculator data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I288: Output Price Index: Gross Weighted: 1995=100: Major Commodity.

Context

NIFTY 500 is India’s first broad-based stock market index of the Indian stock market. It contains the top 500 listed companies on the NSE. The NIFTY 500 index represents about 96.1% of free-float market capitalization and 96.5% of the total turnover on the National Stock Exchange (NSE).

NIFTY 500 companies are disaggregated into 72 industry indices. Industry weights in the index reflect industry weights in the market. For example, if the banking sector has a 5% weight in the universe of stocks traded on the NSE, banking stocks in the index would also have an approximate representation of 5% in the index. NIFTY 500 can be used for a variety of purposes such as benchmarking fund portfolios, launching index funds, ETFs, and other structured products.

• Other Notable Indices -
  • NIFTY 50: Top 50 listed companies on the NSE. A diversified 50-stock index accounting for 13 sectors of the Indian economy.
  • NIFTY Next 50: Also called NIFTY Juniors. Represents 50 companies from NIFTY 100 after excluding the NIFTY 50 companies.
  • NIFTY 100: Diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents the top 100 companies based on full market capitalization from NIFTY 500.
  • NIFTY 200: Designed to reflect the behavior and performance of large and mid-market capitalization companies.

Content

The dataset comprises various parameters and features for each of the NIFTY 500 Stocks, including Company Name, Symbol, Industry, Series, Open, High, Low, Previous Close, Last Traded Price, Change, Percentage Change, Share Volume, Value in Indian Rupee, 52 Week High, 52 Week Low, 365 Day Percentage Change, and 30 Day Percentage Change.

Dataset Glossary (Column-Wise)

Company Name: Name of the Company.

Symbol: A stock symbol is a unique series of letters assigned to a security for trading purposes.

Industry: Name of the industry to which the stock belongs.

Series: EQ stands for Equity. In this series intraday trading is possible in addition to delivery and BE stands for Book Entry. Shares falling in the Trade-to-Trade or T-segment are traded in this series and no intraday is allowed. This means trades can only be settled by accepting or giving the delivery of shares.

Open: It is the price at which the financial security opens in the market when trading begins. It may or may not be different from the previous day's closing price. The security may open at a higher price than the closing price due to excess demand for the security.

High: It is the highest price at which a stock is traded during the course of the trading day and is typically higher than the closing or equal to the opening price.

Low: Today's low is a security's intraday low trading price. Today's low is the lowest price at which a stock trades over the course of a trading day.

Previous Close: The previous close almost always refers to the prior day's final price of a security when the market officially closes for the day. It can apply to a stock, bond, commodity, futures or option co-contract, market index, or any other security.

Last Traded Price: The last traded price (LTP) usually differs from the closing price of the day. This is because the closing price of the day on NSE is the weighted average price of the last 30 mins of trading. The last traded price of the day is the actual last traded price.

Change: For a stock or bond quote, change is the difference between the current price and the last trade of the previous day. For interest rates, change is benchmarked against a major market rate (e.g., LIBOR) and may only be updated as infrequently as once a quarter.

Percentage Change: Take the selling price and subtract the initial purchase price. The result is the gain or loss. Take the gain or loss from the investment and divide it by the original amount or purchase price of the investment. Finally, multiply the result by 100 to arrive at the percentage change in the investment.

Share Volume: Volume is an indicator that means the total number of shares that have been bought or sold in a specific period of time or during the trading day. It will also involve the buying and selling of every share during a specific time period.

Value (Indian Rupee): Market value—also known as market cap—is calculated by multiplying a company's outstanding shares by its current market price.

52-Week High: A 52-week high is the highest share price that a stock has traded at during a passing year. Many market aficionados view the 52-week high as an important factor in determining a stock's current value and predicting future price movement. 52-week High prices are adjusted for Bonus, Split & Rights Corporate actions.

52-Week Low: A 52-week low is the lowest ...

This filtered view joins the refrigerated truck rate and volume data to calculate a weighted average rate per mile (rpm). Quarterly average rates are weighted by regional volume shares in that quarter. Mileage categories are: a) local–500 miles and less, b) short distance–between 501 and 1,500 miles, c) medium distance–between 1,501 and 2,500 miles, and d) long distance–greater than 2,500 miles.

This report analyses the real price of off-trade alcohol in the United Kingdom. The data is sourced from the Office for National Statistics (ONS) in addition to estimates by IBISWorld. The data is calculated from the components of the Retail Price Index (RPI) and is a weighted average of the off-trade beer, wine and spirits indices. The weighting is based on the weights attributed to the two indices by the ONS in the calculation of the RPI. The data represents real price changes, in that the price index is calculated relative to the price of other goods and services. Figures are annual averages over each financial year.

Dataset includes condensed results from o-DGT contaminant analysis following deployment in urban stormwater ponds, calculation of sampling rates, and calculation of time-weighted average concentrations in water.

The historical series 'Civil engineering; input price index 2000=100, since 1979' represents the trend of the costs of labour, material and equipment involved in projects in various areas of civil engineering (in Dutch: Grond-, Weg- en Waterbouw (GWW)) in the Netherlands. This series was created by linking independently calculated series from the past. At this moment, there are eight areas within civil engineering. These areas are based on the standard Classification Products to Activity (CPA). There is also one area of which the observation has stopped. For each area a series is calculated based on the price developments of various cost components of which the product to be realised -in this case a civil engineering project- is constructed.. The price index for the total of civil engineering is a weighted average of the eight areas. The published price indices of civil engineering are based on the average price level of the month in question. Changes in the overall costs and 'profit and risks' are not taken into account. Changes in excise duties (such as that of diesel, used in civil engineering works, from 1/1/2013) are also not reflected in the price indices. Changes compared with twelve months previously are also published for all indices.

Data available from: The various series of price indices of Civil Engineering cover different periods. Some start in 1979, while others start at the shift to 2000=100. For each series, the period for which it contains figures is given below: - Constructions for fluids: February 1979 - Road construction: February 1979 - Road maintenance: February 1979; discontinued from October 2004 - Site preparation works: February 1979 - Constructions and construction works for utility projects for fluids Januari 1979 - Civil engineering works: January 2000 - Bridges and tunnels: January 2000 - Railways and underground railways: January 2000 - Constructions for water projects: January 2000 - Electrical installation works: January 2000

Status of the figures: Index figures up to November 2024 are definite. Other index figures are provisional. The period the price indices remain provisional depends on the moment that the collectively negotiated (CAO) wage rates for the construction industry are definite. This period can vary from 4 to about 16 months after the period under review.

Changes as of May 28th 2025: Following an adjustment in the weights, the figures have been changed. The months February to April have also been added

Changes as of February 28th 2025: The figures for January 2025 are added to the table. Also all the individual months from January 2024 were added to the table. This is due to an updated method with the new base year 2020=100.

Changes as of March 3th 2025: Figures were not put in the correct columns due to an error in the source file. This has now been corrected.

When will new figures be published? Provisional figures for May, June and July 2025 will be published at the end of August 2025.

104.58 (%) in 2019. Price Indices for Investment in Fixed Assets reflect the trend and degree of changes in prices of investment goods and projects in fixed assets during a given period. The investment in fixed assets consists of three components, namely the investment in construction and installation, the investment in purchases of equipment and instrument, and the investment in other items. Price indices for investment in fixed assets are calculated as the weighted arithmetic mean of the price indices for the three components of investment in fixed assets. Preceding Period = 100.

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

Ivory Coast CI: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 6.540 % in 2016. This stayed constant from the previous number of 6.540 % for 2015. Ivory Coast CI: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 4.770 % from Dec 1993 (Median) to 2016, with 18 observations. The data reached an all-time high of 6.920 % in 2002 and a record low of 4.090 % in 2014. Ivory Coast CI: 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 Ivory Coast – Table CI.World Bank: 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 data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

This dataset shows monthly weighted average truck prices for soybeans exported from Brazil. The weighted average is calculated from production-based shares to weight high-volume routes more heavily than low-volume routes. Quarterly route-level rates and production shares can be found here: https://agtransport.usda.gov/d/bmyw-r4ry.

The Nikkei Stock Average (Nikkei 225) closed at ********* points in May 2025. In February 2024, it surpassed an all-time high recorded in 1989. The Nikkei 225 is a price-weighted stock market index that has been calculated by the Nihon Keizai Shimbun (Nikkei) newspaper since 1950. It comprises 225 constituents listed on the Prime Market of the Tokyo Stock Exchange (TSE).

This table contains weekly and monthly prices paid for market hogs in Manitoba and iso-wean and feeder pigs in United States (U.S.) in current and previous years, as well as average prices for five and 10 previous years.

For hog price report definitions and calculations, click here. Manitoba market hog prices are collected from major processors in Manitoba, compiled and released weekly by Manitoba Agriculture and Resource Development (ARD). Manitoba market hog prices are weighted by the volume of hogs processed, and averaged monthly. United States (U.S.) iso-wean and feeder pig prices are sourced from the United States Department of Agriculture (USDA) and presented in Canadian dollars (C$) using the Bank of Canada exchange rate. Monthly U.S. iso-wean and feeder pig prices are a simple average of the weekly U.S. total composite weighted average prices. Average five and 10-year prices are calculated as simple averages of weekly or monthly prices.Fields included (Alias (Field name): Field description.)

Period (Period): period of time to be presented on charts from the selection of Monthly and Weekly; ;

PeriodNo (PeriodNo): serial number of period (1-12 for monthly presentation, 1-52 for weekly presentation);

Hog category (Hog category): category of animals from the selection of U.S. feeder pigs, U.S. iso-wean pigs, Manitoba market hogs;

Previous year price (Previous): animal price in corresponding period of previous year*;

Current year price (Current): animal price in corresponding period of current year*;

5-year average price (Average5): animal price in corresponding period averaged over last 5 years (excluding current year)*;

10-year average price (Average10): animal price in corresponding period averaged over last 10 years (excluding current year)*.

*(C$ per head for U.S. feeder pigs and U.S. iso-wean pigs, C$ per 100 kg for Manitoba market hogs)

Poland PL: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.960 % in 2016. This records an increase from the previous number of 1.890 % for 2015. Poland PL: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 2.270 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 6.280 % in 1995 and a record low of 1.310 % in 2012. Poland PL: 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 Poland – Table PL.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 data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

United States US: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.670 % in 2016. This records a decrease from the previous number of 1.690 % for 2015. United States US: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 1.960 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 3.950 % in 1992 and a record low of 1.540 % in 2007. United States US: 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 United States – Table US.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 data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

This dataset includes the actual Intermittent Market Reference Price (IMRP) by date and hourly period. The IMRP is the GB Day Ahead Hourly Price published by the Intermittent Day Ahead Indices. The IMRP is calculated as a weighted average across the Day Ahead Indices. This dataset is updated daily.

The Nikkei 225 Index reached an all-time high of 42,426.77 on July 11, 2024. This was the highest value since the index peaked at 38,957.44 in 1989. The Nikkei 225 is a price-weighted stock market index that has been calculated by the Nihon Keizai Shimbun (Nikkei) newspaper since 1950. It comprises 225 constituents listed on the Prime Market of the Tokyo Stock Exchange (TSE).

The results of the Kruskal-Wallis test on the optimal portfolio weights and hedge ratio of each portfolio.