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Inflation Rate In the Euro Area increased to 2.20 percent in September from 2 percent in August of 2025. This dataset provides the latest reported value for - Euro Area Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset provides values for INFLATION RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Inflation Rate in the United Kingdom remained unchanged at 3.80 percent in August. This dataset provides - United Kingdom Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Average weekly earnings for the whole economy, for total and regular pay, in real terms (adjusted for consumer price inflation), UK, monthly, seasonally adjusted.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset provides values for FOOD INFLATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Index Time Series for Lyxor EUR 2-10 Inflation Expectations UCITS C-EUR. The frequency of the observation is daily. Moving average series are also typically included. NA
The aim is to forecast the chief components of inflation (such as changes in fuel prices, food prices and prices of durable goods) for the USA, UK and South Africa, and to test whether the weighted sum of the component forecasts gives a more accurate overall forecast for inflation, than simply forecasting overall inflation itself. In the long run, the ratios of these prices to the overall consumer price index have altered because of technological changes and globalization, among other factors. For example, the prices of internationally traded consumer goods have fallen relative to prices of services. By building separate models for the components, the long-run information in the data and specific economic features likely to drive each component can be exploited. These models will test for asymmetries, such as the tendency of petrol prices to respond faster to rises than to falls in oil prices. The models should help better understand the causes of overall inflation through understanding the inflation trends of the underlying sectors. Modelling the components separately should also highlight where interest rate policy could be effective, and where other policies such as competition policy or price regulation might have complementary benefits.
https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy
We have successfully extracted a comprehensive news dataset from CNBC, covering not only financial updates but also an extensive range of news categories relevant to diverse audiences in Europe, the US, and the UK. This dataset includes over 500,000 records, meticulously structured in JSON format for seamless integration and analysis.
This extensive extraction spans multiple segments, such as:
Each record in the dataset is enriched with metadata tags, enabling precise filtering by region, sector, topic, and publication date.
The comprehensive news dataset provides real-time insights into global developments, corporate strategies, leadership changes, and sector-specific trends. Designed for media analysts, research firms, and businesses, it empowers users to perform:
Additionally, the JSON format ensures easy integration with analytics platforms for advanced processing.
Looking for a rich repository of structured news data? Visit our news dataset collection to explore additional offerings tailored to your analysis needs.
To get a preview, check out the CSV sample of the CNBC economy articles dataset.
Abstract copyright UK Data Service and data collection copyright owner. The purpose of this survey was to explore influences on the pressure for pay increases. Main Topics: Variables Areas covered include: (a) Characteristics of jobs (b) Assessments of adequacy and fairness of (i) pay; (ii) pay increase; (iii) household income (c) Runcimen style questioning on feelings of relative deprivation and comparative reference groups (d) Views about inflation. Multi-stage stratified random sample Face-to-face interview
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
The 'shopping basket' of items making up the suite of consumer price inflation indices (CPI, CPIH, RPIJ & RPI) are reviewed every year. Some items are taken out of the basket, some are brought in, to reflect changes in the market and to make sure the indices are up to date and representative of consumer spending patterns. This article describes the review process and explains how and why the various items in the inflation baskets are chosen.
Source agency: Office for National Statistics
Designation: National Statistics
Language: English
Alternative title: Basket of Goods
The Agricultural Price Index (API) is a monthly publication that measures the price changes in agricultural outputs and inputs for the UK. The output series reflects the price farmers receive for their products (referred to as the farm-gate price). Information is collected for all major crops (for example wheat and potatoes) and on livestock and livestock products (for example sheep, milk and eggs). The input series reflects the price farmers pay for goods and services. This is split into two groups: goods and services currently consumed; and goods and services contributing to investment. Goods and services currently consumed refer to items that are used up in the production process, for example fertiliser, or seed. Goods and services contributing to investment relate to items that are required but not consumed in the production process, such as tractors or buildings.
A price index is a way of measuring relative price changes compared to a reference point or base year which is given a value of 100. The year used as the base year needs to be updated over time to reflect changing market trends. The latest data are presented with a base year of 2020 = 100. To maintain continuity with the current API time series, the UK continues to use standardised methodology adopted across the EU. Details of this internationally recognised methodology are described in the https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-bh-02-003">Handbook for EU agricultural price statistics.
Please note: The historical time series with base years 2000 = 100, 2005 = 100, 2010 = 100 and 2015 = 100 are not updated monthly and presented for archive purposes only. Each file gives the date the series was last updated.
For those commodities where farm-gate prices are currently unavailable we use the best proxy data that are available (for example wholesale prices). Similarly, calculations are based on UK prices where possible but sometimes we cannot obtain these. In such cases prices for Great Britain, England and Wales or England are used instead.
Next update: see the statistics release calendar.
As part of our ongoing commitment to compliance with the Code of Practice for Official Statistics we wish to strengthen our engagement with users of Agricultural Price Indices (API) data and better understand how data from this release is used. Consequently, we invite you to register as a user of the API data, so that we can retain your details and inform you of any new releases and provide you with the opportunity to take part in any user engagement activities that we may run.
Agricultural Accounts and Market Prices Team
Email: prices@defra.gov.uk
You can also contact us via Twitter: https://twitter.com/DefraStats
Abstract copyright UK Data Service and data collection copyright owner. The Prices Survey Microdata include the underlying price data used by the Office for National Statistics (ONS) to produce the Consumer Prices Index (CPI), the Retail Prices Index (RPI) and associated price indices. The CPI has become the main domestic measure of inflation for macroeconomic purposes in the UK. Since December 2003 it has been used for the inflation target that the Bank of England is required to achieve. The RPI is the most long-standing measure of inflation in the UK, and its uses have included the indexation of pensions, state benefits and index-linked gilts. The study also includes the data underlying the Producer Prices Index. There are four levels of sampling for local price collection: locations/shopping areas; outlets/shops within locations; representative items/goods and services; and products and varieties (price quotes). There are two basic price collection methods: local and central. Local collection is used for most items; prices are obtained from outlets in about 150 locations around the country. Some 110,000 quotations are obtained by this method. Normally, collectors must visit the outlet, but prices for some items may be collected by telephone. Central collection is used for items where all the prices can be collected centrally by the ONS with no field work. These prices can be further sub-divided into two categories, depending on their subsequent use: 1) central shops, where the prices are combined with prices obtained locally, and 2) central items, where the prices are used on their own to construct centrally calculated indices. There are about 130 items for which the prices are collected centrally. The retail price data include the locations containing the shopping outlets from which the price quotes were obtained. These locations are intended to be broadly representative of a central shopping area and the areas where the local shopping population tend to live. The data also include the regions in which those shopping areas are located. Linking to other business studies The producer prices data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research. Latest edition informationFor the thirty-fifth edition (May 2024), monthly Item Indices and Price Quotes data files for January to March 2024 have been added to the study. Main Topics: The Prices Survey Microdata include both retail and producer prices. The retail data include the following files:'backdata' or background information fileslocally collected filescentrally collected item filesitem indices filesprice quote filesClassification of Individual Consumption by Purpose (COICOP) level maps and weights filesThe 'backdata' background information files include:COICOP descriptions and identification codesdescriptions and identification codes for each item (goods and services)location descriptions and identification codes (and the region of the UK)shop codes for each item and locationThe pre-2007 data also include postcodes for the shops. The retail prices data span from 1996 to 2009 (centrally collected item indices), from 1996 to 2013 (annual item indices), from 1st quarter 1996 to 3rd quarter 2016 (quarterly item indices and quarterly price quote data), from October 2016 to July 2023 (monthly item indices and monthly price quote data), and from 1996 to 2013 (locally collected data). The producer prices files span from 1998 to 2021 and include:item and index number codesInter-Departmental Business Register Reporting Unit reference numbers, allowing the data to be matched to other ONS business survey dataindex descriptionsprices for each item/index numberAdditional producer prices files spanning 1996 to 2019 provide only the Producer Prices Indices and summary tables. Other Face-to-face interview
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This dataset contains the indices of UK hourly Construction Wage Costs (quarterly; not seasonally adjusted; 2000 = 100) and UK Construction Material Prices for New Housing, Other New Work, Repair and Maintenance, and All Work (monthly; 2010 = 100).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Inflation Rate in Poland remained unchanged at 2.90 percent in September. This dataset provides the latest reported value for - Poland Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Harmonised Consumer Prices in the United Kingdom decreased to 133.80 points in July from 134.10 points in June of 2024. This dataset provides - United Kingdom Harmonised Consumer Prices - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Steel fell to 3,005 CNY/T on October 1, 2025, down 0.89% from the previous day. Over the past month, Steel's price has fallen 2.31%, and is down 10.83% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Steel - values, historical data, forecasts and news - updated on October of 2025.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate In the Euro Area increased to 2.20 percent in September from 2 percent in August of 2025. This dataset provides the latest reported value for - Euro Area Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.