Glossary

smoking prevalence

smoking prevalence is share of a population that smokes, normally expressed as a percentage of adults aged 15+ and split by sex. In Datadory's catalog of 1,744 datasets, Eurostat - Daily Smokers of Cigarettes (sdg_03_30) and World Bank API - Tobacco Smoking Indicators are working examples.

What is smoking prevalence?

The share of a population that smokes, normally expressed as a percentage of adults aged 15+ and split by sex.

It is the dominant measure in the tobacco catalog, carried by the World Bank SH.PRV.SMOK indicator family, Eurostat sdg_03_30 and IHME GBD prevalence estimates.

In this catalog it appears concretely: - Eurostat - Daily Smokers of Cigarettes (sdg_03_30). - World Bank API - Tobacco Smoking Indicators. - World Bank - Prevalence of Current Tobacco Use (% of adults) [SH.PRV.SMOK]. - IHME GHDx - GBD 2019 Smoking Tobacco Use Prevalence 1990-2019.

Why does smoking prevalence matter when choosing a dataset?

Conventions decide whether two sources can be joined at all. Buy one side of an analysis that ignores this convention and every reconciliation step — calendar alignment, unit conversion, entity matching — lands on your team instead of the vendor's.

The failure mode is concrete: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and Eurostat - Daily Smokers of Cigarettes (sdg_03_30) lets you inspect the real artifact before any budget is committed.

How do you evaluate smoking prevalence in a data source?

Treat every claim of this attribute as testable:

  1. Open Eurostat - Daily Smokers of Cigarettes (sdg_03_30) and compare its listing against the delivered artifact before paying for a commercial equivalent.
  2. Open World Bank API - Tobacco Smoking Indicators and compare its listing against the delivered artifact before paying for a commercial equivalent.
  3. Open World Bank - Prevalence of Current Tobacco Use (% of adults) [SH.PRV.SMOK] and compare its listing against the delivered artifact before paying for a commercial equivalent.

See the term applied to real records: tobacco data.

Adjacent concepts worth reading next: - daily smokers of cigarettes - Global Burden of Disease - modelled estimates - sex disaggregation

Frequently asked questions

What is an example of smoking prevalence?

Eurostat - Daily Smokers of Cigarettes (sdg_03_30) is the clearest example in this catalog. Its listing is the reference point for this pattern. Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.

Is data described as "smoking prevalence" free to use?

Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.

How do I verify a source really provides smoking prevalence?

Open Eurostat - Daily Smokers of Cigarettes (sdg_03_30) next to World Bank API - Tobacco Smoking Indicators and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.

Datasets containing this field

Datasets containing smoking prevalence

6 datasets carry smoking prevalence in the catalog. Open one, count the fields, judge for yourself.

Datasets

ASA — PHCP Distribution Data

Datasets

HealthData.org — Tobacco Disease & Injury Factsheets Data

statistic_headline · topic_section · publication_link

Tobacco

Hugging Face Tobacco Datasets Hub

cdc-state-system-tobacco-legislation-tax · legislation-smokefree-indoor-air · legislation-youth-access …+3 more

Industries

IHME GBD Results Tool - Tobacco/Smoking Query Interface

measure · location_name · sex_name …+7 more

Every listing shows the field dictionary, sample rows, and coverage before you commit. API, files, or your warehouse. Daily, weekly, or hourly.

Get sample rows