Data

Manufactured cigarette sales per adult per day

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What you should know about this indicator

The time series for Germany includes a population weighted average for West and East Germany cigarette sales for the 1948-1989 period.

Manufactured cigarette sales per adult per day
Daily sales of manufactured cigarettes to people aged 15 and over.
Source
International Smoking Statistics (2016)with major processing by Our World in Data
Last updated
May 30, 2024
Date range
1865–2015
Unit
cigarettes per adult per day

Sources and processing

Forey et al. – International Smoking Statistics

Retrieved on
May 30, 2024
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.
P N Lee Statistics and Computing Ltd - International Smoking Statistics WEB Edition.
Barbara Forey, Jan Hamling, John Hamling, Alison Thornton, Peter Lee (2006-2016).
Retrieved on
May 30, 2024
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.
P N Lee Statistics and Computing Ltd - International Smoking Statistics WEB Edition.
Barbara Forey, Jan Hamling, John Hamling, Alison Thornton, Peter Lee (2006-2016).

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

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: Manufactured cigarette sales per adult per day”, part of the following publication: Hannah Ritchie and Max Roser (2023) - “Smoking”. Data adapted from Forey et al.. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/sales-of-cigarettes-per-adult-per-day.html [online resource] (archived on March 4, 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:

International Smoking Statistics (2016) – with major processing by Our World in Data

Full citation

International Smoking Statistics (2016) – with major processing by Our World in Data. “Manufactured cigarette sales per adult per day” [dataset]. Forey et al., “International Smoking Statistics” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/sales-of-cigarettes-per-adult-per-day.html (archived on March 4, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

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/sales-of-cigarettes-per-adult-per-day.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/sales-of-cigarettes-per-adult-per-day.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/sales-of-cigarettes-per-adult-per-day.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/sales-of-cigarettes-per-adult-per-day.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/sales-of-cigarettes-per-adult-per-day.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/sales-of-cigarettes-per-adult-per-day.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/sales-of-cigarettes-per-adult-per-day.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/sales-of-cigarettes-per-adult-per-day.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear