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Data

Coal output per worker in the United Kingdom

About this data

Source
Department for Business, Energy and Industrial Strategy (2020) – processed by Our World in Data
Last updated
August 17, 2020
Date range
1873–2019
Unit
tonnes

Sources and processing

This data is based on the following sources

Department for Business, Energy and Industrial Strategy – Coal output and employment in UK

Data originally published by the UK's Department for Energy and Climate Change (DECC) in 2013. Updated in 2018 by the UK's Department for Business, Energy and Industrial Strategy (BEIS).

Employment figures in the coal industry include contractors, and are sourced by DECC from The Coal Authority.

Coal production per worker was calculated by dividing total UK coal output by the number employed in any given year.

The share of the total workforce employed in the coal industry was calculated by dividing by total UK workforce figures available in 'A millennium of macroeconomic data' by the Bank of England. Available at: http://www.bankofengland.co.uk/research/Pages/datasets/default.aspx [accessed 5th October 2017].

Retrieved on
August 17, 2020
Retrieved from
https://www.gov.uk/government/statistical-data-sets/historical-coal-data-coal-production-availability-and-consumption
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Department for Business, Energy and Industrial Strategy (BEIS) (2020).

Data originally published by the UK's Department for Energy and Climate Change (DECC) in 2013. Updated in 2018 by the UK's Department for Business, Energy and Industrial Strategy (BEIS).

Employment figures in the coal industry include contractors, and are sourced by DECC from The Coal Authority.

Coal production per worker was calculated by dividing total UK coal output by the number employed in any given year.

The share of the total workforce employed in the coal industry was calculated by dividing by total UK workforce figures available in 'A millennium of macroeconomic data' by the Bank of England. Available at: http://www.bankofengland.co.uk/research/Pages/datasets/default.aspx [accessed 5th October 2017].

Retrieved on
August 17, 2020
Retrieved from
https://www.gov.uk/government/statistical-data-sets/historical-coal-data-coal-production-availability-and-consumption
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Department for Business, Energy and Industrial Strategy (BEIS) (2020).

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Coal output per worker in the United Kingdom”. Our World in Data (2026). Data adapted from Department for Business, Energy and Industrial Strategy. Retrieved from https://archive.ourworldindata.org/20260511-092124/grapher/coal-output-per-worker-in-the-united-kingdom.html [online resource] (archived on May 11, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Department for Business, Energy and Industrial Strategy (2020) – processed by Our World in Data

Full citation

Department for Business, Energy and Industrial Strategy (2020) – processed by Our World in Data. “Coal output per worker in the United Kingdom” [dataset]. Department for Business, Energy and Industrial Strategy, “Coal output and employment in UK” [original data]. Retrieved May 14, 2026 from https://archive.ourworldindata.org/20260511-092124/grapher/coal-output-per-worker-in-the-united-kingdom.html (archived on May 11, 2026).

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/coal-output-per-worker-in-the-united-kingdom.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear