In January 2024, a total of **** percent of The Economist newspaper's editorial staff were white and British, marking an increase from 2023. Meanwhile, the share of Asian employees remained almost the same, whilst Black employees accounted for *** percent of the workforce in 2024, up from the previous year.

This dataset is about book subjects. It has 1 row and is filtered where the books is The economics of low pay in Britain : a logistic regression approach. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Context

Data and methodology for the Big Mac index https://www.economist.com/news/2018/07/11/the-big-mac-index.

Updated yearly, with data from 1986 to 2019.

Content

• big-mac-raw-index.csv contains values for the “raw” index
• big-mac-adjusted-index.csv contains values for the “adjusted” index
• big-mac-full-index.csv contains both

variable	definition	source
date	Date of observation
iso_a3	Three-character [ISO 3166-1 country code][iso 3166-1]
currency_code	Three-character [ISO 4217 currency code][iso 4217]
name	Country name
local_price	Price of a Big Mac in the local currency	McDonalds; The Economist
dollar_ex	Local currency units per dollar	Reuters
dollar_price	Price of a Big Mac in dollars
USD_raw	Raw index, relative to the US dollar
EUR_raw	Raw index, relative to the Euro
GBP_raw	Raw index, relative to the British pound
JPY_raw	Raw index, relative to the Japanese yen
CNY_raw	Raw index, relative to the Chinese yuan
GDP_dollar	GDP per person, in dollars	IMF
adj_price	GDP-adjusted price of a Big Mac, in dollars
USD_adjusted	Adjusted index, relative to the US dollar
EUR_adjusted	Adjusted index, relative to the Euro
GBP_adjusted	Adjusted index, relative to the British pound
JPY_adjusted	Adjusted index, relative to the Japanese yen
CNY_adjusted	Adjusted index, relative to the Chinese yuan

Acknowledgements

Banner Photo by amirali mirhashemian on Unsplash

This software is published by The Economist under the MIT licence. The data generated by The Economist are available under the Creative Commons Attribution 4.0 International License.

The licences include only the data and the software authored by The Economist, and do not cover any Economist content or third-party data or content made available using the software. More information about licensing, syndication and the copyright of Economist content can be found here.

From https://github.com/TheEconomist/big-mac-data

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features:

• Granular: Data is provided at the following geographical units:
  • NUTS3 (e.g. London Boroughs),
  • NUTS2 (e.g. London),
  • NUTS1 (e.g. England), and
  • NUTS0 (e.g. United Kingdom) levels.
• Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
• Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
• Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
• Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

This dataset is about books. It has 3 rows and is filtered where the book subjects is Medical economics-Great Britain-History-20th century. It features 9 columns including author, publication date, language, and book publisher.

Children’s work and wages in Britain, 1280-1860 Sara Horrell and Jane Humphries University of Cambridge and University of Oxford 14th April 2019 Data used for ‘Children’s work and wages in Britain, 1280-1860’, Explorations in Economic History 3873 observations of children’s work and wages were collected from nearly 200 different sources to construct a series of children’s wages over the long run. The sources and the methods used to ensure a comparable dataset are detailed in the accompanying article. In brief, details on each child (sex, age, whether they worked alongside an adult), the type of work (job, occupation, sector), the remuneration (pay in cash and payment period, receipt of in kind benefits: board, lodging, clothing), year and county in which the child was observed, and details of the data source (primary, secondary; purpose for which data was originally recorded – household account, census of the poor, manorial account etc) were used to construct the initial dataset. Consistent variables were then created to reflect real reward to a day of work (payment in cash per day worked with the addition of perquisites, typically awarded for a full year but allocated pro-rata onto days of work) measured in terms of R.C. Allen’s respectability basket, and the standard of living per day in the year (cash payment for a year with the addition of a year’s worth of perquisites where applicable) relative to the cost of the Allen basket for 365 days. Initially these measures assume a constant 250 days worked in a year, but we also look at these measures under a variable working year assumption. The paper details our findings. Dataset: childwagedatadeposit.sav SPSS file, Report generates a codebook for the file Additional information: Data sources. Document detailing where the original data can be located. Linked to ‘source’ variable in the dataset.

Gross Domestic Product Deflator for Great Britain was 147.74935 Index in January of 2025, according to the United States Federal Reserve. Historically, Gross Domestic Product Deflator for Great Britain reached a record high of 147.74935 in January of 2025 and a record low of 4.47619 in January of 1955. Trading Economics provides the current actual value, an historical data chart and related indicators for Gross Domestic Product Deflator for Great Britain - last updated from the United States Federal Reserve on July of 2025.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Brexit: Everyone Loses, but Britain Loses the Most, PIIE Working Paper 19-5.

If you use the data, please cite as: Latorre, María C., Zoryana Olekseyuk, Hidemichi Yonezawa, and Sherman Robinson. (2019). Brexit: Everyone Loses, but Britain Loses the Most. PIIE Working Paper 19-5. Peterson Institute for International Economics.

This dataset is about book subjects. It has 2 rows and is filtered where the books is Hard at work in factories and mines : the economics of child labor during the British Industrial Revolution. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Nominal General Government Final Consumption Expenditure for Great Britain was 157654.00000 Domestic Currency in January of 2025, according to the United States Federal Reserve. Historically, Nominal General Government Final Consumption Expenditure for Great Britain reached a record high of 157654.00000 in January of 2025 and a record low of 802.00000 in April of 1955. Trading Economics provides the current actual value, an historical data chart and related indicators for Nominal General Government Final Consumption Expenditure for Great Britain - last updated from the United States Federal Reserve on July of 2025.

The aims of this project were to create and update an electronic version of a finding aid originally published in 1975 as Economist's Papers 1750-1950; a Guide to Archive and other Manuscript Sources for the History of British and Irish Economic Thought.
This project aims at having a website which will:
- accommodate a downloadable version of the original guide
- facilitate revision of the entries on the basis of more up-to-date information
- extend the guide's coverage to include economists who died after 1950
- enlist the support and gather information relevant to the project from archivist and other scholars
- enhance interest in the preservation of archive material that will be of value to future historians

Abstract copyright UK Data Service and data collection copyright owner.

The period of the study was characterised by major improvements in financial institutions and transport. The objectives of the study were to see how pricing behaviour changed as a result of this. Since the prices are weekly and by county, it is possible to see how seasonality and regional patterns changed over time. Quantifying the effects of these changes should enable us to see their relative importance in promoting economic growth.

The general aim of our research has been to increase our understanding of market integration and its effect on economic performance - particularly in the context of financial markets and commodity markets. Our specific objectives were (i) to create a major dataset of eighteenth and nineteenth century grain prices which can be used within our research project and which could also potentially be useful for other researchers; (ii) to estimate an econometric model to quantify the changes in financial markets, especially the spread of country banks (iii) to estimate an econometric model to measure the effects of transport networks; (iv) to use our results from to estimate the social welfare gains from market integration and to relate the improvements in market integration to the major changes in agricultural practice.
Main Topics:

The data consist of weekly prices on a county basis for England (40 counties plus London) and Wales (initially only data for North and South Wales, but for 12 counties after 1790) for domestically produced wheat, barley, oats and beans.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

The Magazine Publishers industry's two main sources of revenue, print sales and advertising, have fallen. Publishers have struggled to cope with declining circulation and significant online competition, deterring advertising agencies from print media. Over the five years through 2024-25, revenue is forecast to dwindle at a compound annual rate of 5.2% to £4 billion. Magazine publishers have faced a challenging landscape in recent years, grappling with rising production costs and a steady decline in print advertising revenue. According to the Advertising Association, ad spend for magazine brands fell by 9.1% in 2023 and is expected to drop by another 5.1% in 2024. Revenue is projected to dip by 2% in 2024-25. Economic uncertainty has discouraged consumer spending and contracted advertising budgets, compounding magazine publishers' financial woes. Consumer magazine circulations have steadily fallen, recording a 12.4% drop in 2023 alone, as reported by the Audit Bureau of Circulations. Publications that no longer fitted publishers' strategic directions were either sold or shuttered, leading to significant market consolidation. Profit is also edging downwards amid disruption caused by the pandemic and cost-of-living crisis, coupled with sustained high input prices. The outlook for magazine publishers is mixed. The switch to digital media continues to provide opportunities for expansion through online subscriptions and advertising. However, the market is saturated, with subscription fatigue setting in among consumers who now prefer platforms like YouTube and TikTok for news and entertainment. AI-driven content delivery is set to further disrupt traditional media by offering hyper-personalised content that better engages audiences. While print circulations are expected to bottom out, revenue from print will continue to shrink. Compounding these challenges is the forecast 5.9% drop in magazine advertising spend between 2023 and 2025, according to the Advertising Association, driven by advertisers favouring more efficient online platforms. Despite these hurdles, heightened overall advertising around global events like the 2026 FIFA World Cup could offer some respite. Still, revenue is expected to decline at a compound annual rate of 0.9% over the five years through 2029-30 to £3.9 billion.

The London IO tables provide an overview of activity across sectors and key aggregates (production, consumption and expenditure) as well as the interlinkages between sectors and London’s trade (with the rest of the UK, the EU and the rest of the world). The IO tables are product x product rather than industry x industry. The data is for the product definition of sectors, and sector coverage aligns with the 2014 London Business Survey. See https://data.london.gov.uk/gla-economics/london-business-survey-2014/ Explanation of the content of the tables, applications of their use, and details on the methodology are available here: https://www.london.gov.uk/business-and-economy-publications/london-input-output-tables

CCCEP was established in October 2008 with the aim of advancing public and private action on climate change through rigorous, innovative research. There are a number of papers in this project that used or generated new data. These empirical papers are descriptive or econometric studies focusing predominantly on energy transitions and energy service consumption over the long run and use a host of economic and historical data.

Nominal Final Consumption Expenditure for Great Britain was 604787.00000 Domestic Currency in October of 2024, according to the United States Federal Reserve. Historically, Nominal Final Consumption Expenditure for Great Britain reached a record high of 604787.00000 in October of 2024 and a record low of 485045.00000 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Nominal Final Consumption Expenditure for Great Britain - last updated from the United States Federal Reserve on May of 2025.

Underlying data and charts supporting the publication BIS Economics Paper no 10b: Manufacturing in the UK: supplementary analysis [URN 10/1334]

The Social Sciences and Humanities Research and Development Activities industry’s revenue is expected to contract at a compound annual rate of 4.3% over the five years through 2024 to €3.6 billion. This includes a forecast drop of 2.8% in 2024. Revenue is far lower than in the Natural Science and Engineering Research and Development Activities industry, since scientific innovation, engineering techniques and healthcare developments are prioritised over research in societal change, economics, political science and cultural progress. Spending by businesses on R&D for these subjects is significantly lower, with most money instead coming from publicly backed organisations, such as think tanks, political organisations and cultural centres. That being said, Belgium, Germany, Malta and Sweden all rely more heavily on business-funded R&D, whereas Greece, Luxembourg, Slovakia and Estonia all depend more on government funding, finds Eurostat. Horizon Europe and the Humanities in the European Research Area (HERA) have made significant funding contributions since 2020 to progress in R&D, which has boosted revenue. Revenue is slated to climb at a compound annual rate of 3.5% over the five years through 2029 to €4.3 billion. Horizon Europe funding will continue to boost revenue for R&D activities and businesses are expected to allocate more funding to R&D as the value of research in humanities and social sciences becomes clearer. HERA will continue to encourage collaboration on R&D in Europe through the Collaboration of Humanities and Social Sciences in Europe programme, which includes countries like Spain, the UK, Estonia, Poland and Croatia.

Underlying data from BIS Economics Paper no.11 'The economic consequences for the UK and the EU of completing the Single Market' [URN 11/517].