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Age Structure, 2006 - Early Working Years by Census Division (15 - 34 years)...
- open.canada.ca
- datasets.ai
jp2, zipUpdated Mar 14, 2022+ more versions
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EmailClick to copy linkLink copiedCiteNatural Resources Canada (2022). Age Structure, 2006 - Early Working Years by Census Division (15 - 34 years) [Dataset]. https://open.canada.ca/data/en/dataset/dfa298a1-8893-11e0-90eb-6cf049291510zip, jp2Available download formatsDataset updatedMar 14, 2022Dataset provided byNatural Resources CanadaLicenseOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automaticallyDescriptionThe working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.
FiveThirtyEight Drug Use By Age Dataset
- kaggle.com
Updated Apr 26, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFiveThirtyEight (2019). FiveThirtyEight Drug Use By Age Dataset [Dataset]. https://www.kaggle.com/fivethirtyeight/fivethirtyeight-drug-use-by-age-dataset/activityCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedApr 26, 2019AuthorsFiveThirtyEightLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionContent
Drug Use By Age
This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.
Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.
Header Definition alcohol-usePercentage of those in an age group who used alcohol in the past 12 months alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months marijuana-usePercentage of those in an age group who used marijuana in the past 12 months marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months cocaine-usePercentage of those in an age group who used cocaine in the past 12 months cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months crack-usePercentage of those in an age group who used crack in the past 12 months crack-frequencyMedian number of times a user in an age group used crack in the past 12 months heroin-usePercentage of those in an age group who used heroin in the past 12 months heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months inhalant-usePercentage of those in an age group who used inhalants in the past 12 months inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months stimulant-usePercentage of those in an age group who used stimulants in the past 12 months stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months meth-usePercentage of those in an age group who used meth in the past 12 months meth-frequencyMedian number of times a user in an age group used meth in the past 12 months sedative-usePercentage of those in an age group who used sedatives in the past 12 months sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months Context
This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!
- Update Frequency: This dataset is updated daily.
Acknowledgements
This dataset is maintained using GitHub's API and Kaggle's API.
This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.
Cover photo by Eric Muhr on Unsplash
Unsplash Images are distributed under a unique Unsplash License.Drug Use By Age
- kaggle.com
Updated Apr 23, 2021+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteBojan Tunguz (2021). Drug Use By Age [Dataset]. https://www.kaggle.com/datasets/tunguz/drug-use-by-age/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedApr 23, 2021AuthorsBojan TunguzLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionDrug Use By Age
This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.
Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.
Header Definition alcohol-usePercentage of those in an age group who used alcohol in the past 12 months alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months marijuana-usePercentage of those in an age group who used marijuana in the past 12 months marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months cocaine-usePercentage of those in an age group who used cocaine in the past 12 months cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months crack-usePercentage of those in an age group who used crack in the past 12 months crack-frequencyMedian number of times a user in an age group used crack in the past 12 months heroin-usePercentage of those in an age group who used heroin in the past 12 months heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months inhalant-usePercentage of those in an age group who used inhalants in the past 12 months inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months stimulant-usePercentage of those in an age group who used stimulants in the past 12 months stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months meth-usePercentage of those in an age group who used meth in the past 12 months meth-frequencyMedian number of times a user in an age group used meth in the past 12 months sedative-usePercentage of those in an age group who used sedatives in the past 12 months sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months 
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FacebookTwitterEmailOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.