23 datasets found
  1. Number of Americans who used marijuana in the past year 2009-2023

    • statista.com
    Updated Nov 1, 2024
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    Statista (2024). Number of Americans who used marijuana in the past year 2009-2023 [Dataset]. https://www.statista.com/statistics/611714/marijuana-use-during-past-year-in-the-us/
    Explore at:
    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, approximately 61.8 million people used marijuana in the past year. This statistic shows the number of people in the U.S. who have used marijuana in the past year from 2009 to 2023.

  2. Marijuana use among U.S. adults within the past year 2022 by state

    • statista.com
    Updated Mar 8, 2024
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    Statista (2024). Marijuana use among U.S. adults within the past year 2022 by state [Dataset]. https://www.statista.com/statistics/723822/cannabis-use-within-one-year-us-adults/
    Explore at:
    Dataset updated
    Mar 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    Current marijuana use among U.S. adults in 2022 was highest in Vermont, where around 34.37 percent of adults reported using marijuana within the past year. In recent years, a number of U.S. states, including Colorado and California, have legalized the sale of marijuana for recreational use. In 2022, around 132 million people in the United States reported that they had used marijuana at least once in their lifetime.

    Consumer behavior Starting around 2013, the majority of U.S. adults now say they are in favor of legalizing marijuana in the United States. The share of adults who were in favor of legalization has continued to increase over the years. As of 2021, about 68 percent of U.S. adults aged 18 and older were in favor of legalization. Legal sales of marijuana reached 16.5 billion U.S. dollars in 2021, and are expected to increase to around 37 billion dollars by the year 2026.

    COVID-19 impact on marijuana use The COVID-19 pandemic and resulting lockdowns led to fears of an increase in substance abuse in many parts of the world. In March 2020, around 40 percent of millennials who used cannabis in the past year reported that they planned to increase their marijuana use during the COVID-19 pandemic. This rise in usage was reflected in sales early in the pandemic. In California for example, sales of marijuana on March 16, 2020 increased 159 percent compared to the same day in 2019.

  3. N

    Weed, CA Age Cohorts Dataset: Children, Working Adults, and Seniors in Weed...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Weed, CA Age Cohorts Dataset: Children, Working Adults, and Seniors in Weed - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/weed-ca-population-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Weed
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Weed population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Weed. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 1,753 (63.40% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Weed population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Weed is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Weed is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Weed Population by Age. You can refer the same here

  4. N

    Weed, CA Population Breakdown by Gender Dataset: Male and Female Population...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
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    Neilsberg Research (2025). Weed, CA Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/weed-ca-population-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Weed
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Weed by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Weed across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a slight majority of male population, with 50.96% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Weed is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Weed total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Weed Population by Race & Ethnicity. You can refer the same here

  5. N

    Weed, CA Population Pyramid Dataset: Age Groups, Male and Female Population,...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Weed, CA Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/weed-ca-population-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Weed
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Weed, CA population pyramid, which represents the Weed population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Weed, CA, is 26.5.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Weed, CA, is 21.3.
    • Total dependency ratio for Weed, CA is 47.9.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Weed, CA is 4.7.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Weed population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Weed for the selected age group is shown in the following column.
    • Population (Female): The female population in the Weed for the selected age group is shown in the following column.
    • Total Population: The total population of the Weed for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Weed Population by Age. You can refer the same here

  6. Marijuana Legal Status in USA

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    Shree (2019). Marijuana Legal Status in USA [Dataset]. https://www.kaggle.com/shree97/marijuana-legal-status-in-usa
    Explore at:
    zip(435 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Authors
    Shree
    Area covered
    United States
    Description

    Context

    Marijuana has been legalized or being legalized in many states in USA. However there is still a difference in legalizing medical vs. legalizing recreational marijuana.

    Content

    I acquired data from google and wikipedia articles.

  7. d

    Data from: Smoking, Drinking and Drug Use among Young People in England

    • digital.nhs.uk
    Updated Sep 6, 2022
    + more versions
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    (2022). Smoking, Drinking and Drug Use among Young People in England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/smoking-drinking-and-drug-use-among-young-people-in-england
    Explore at:
    Dataset updated
    Sep 6, 2022
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Sep 1, 2021 - Feb 28, 2022
    Area covered
    England
    Description

    This report contains results from the latest survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15), focusing on smoking, drinking and drug use. It covers a range of topics including prevalence, habits, attitudes, and wellbeing. This survey is usually run every two years, however, due to the impact that the Covid pandemic had on school opening and attendance, it was not possible to run the survey as initially planned in 2020; instead it was delivered in the 2021 school year. In 2021 additional questions were also included relating to the impact of Covid. They covered how pupil's took part in school learning in the last school year (September 2020 to July 2021), and how often pupil's met other people outside of school and home. Results of analysis covering these questions have been presented within parts of the report and associated data tables. It includes this summary report showing key findings, excel tables with more detailed outcomes, technical appendices and a data quality statement. An anonymised record level file of the underlying data on which users can carry out their own analysis will be made available via the UK Data Service later in 2022 (see link below).

  8. H

    Replication Data for: Defiant Innovation: The Adoption of Medical Marijuana...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 28, 2017
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    Lee Hannah; Daniel J. Mallinson (2017). Replication Data for: Defiant Innovation: The Adoption of Medical Marijuana Laws in the American States [Dataset]. http://doi.org/10.7910/DVN/WONDKB
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 28, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Lee Hannah; Daniel J. Mallinson
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Hannah, A. Lee and Daniel J. Mallinson. Forthcoming. "Defiant Innovation: The Adoption of Medical Marijuana Laws in the American States." Policy Studies Journal.

  9. d

    Smoking, Drinking and Drug Use among Young People in England, 2021: Data...

    • digital.nhs.uk
    Updated Sep 6, 2022
    + more versions
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    (2022). Smoking, Drinking and Drug Use among Young People in England, 2021: Data tables [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/smoking-drinking-and-drug-use-among-young-people-in-england/2021
    Explore at:
    Dataset updated
    Sep 6, 2022
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Area covered
    England
    Description

    Contains a set of data tables for each part of the Smoking, Drinking and Drug Use among Young People in England, 2021 report

  10. r

    Data from: Socioeconomic, ethnocultural, substance- and cannabinoid- related...

    • researchdata.edu.au
    Updated Aug 15, 2023
    + more versions
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    UWA Medical School; Albert Stuart Reece; Albert Reece (2023). Socioeconomic, ethnocultural, substance- and cannabinoid- related epidemiology of Down syndrome USA 1986-2016 dataset: An ecological geotemporospatial and causal inference investigation [Dataset]. http://doi.org/10.17632/TN46TDHC4C.2
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    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Edith Cowan University
    Authors
    UWA Medical School; Albert Stuart Reece; Albert Reece
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Background. Downs syndrome (DS) is the commonest of the congenital genetic defects. Its incidence has been rising in recent years for unknown reasons. Objective. Investigate the relationship of DS to substance- and cannabinoid- exposure; and causality.

    Methods. Observational ecological population-based epidemiological study 1986-2016. Analysis performed January 2020. Geotemporospatial and causal inference analysis.

    Participants: Patients were diagnosed with DS and reported to state based registries; collated nationally. Data source: annual reports of National Birth Defects Prevention Network of Centres for Disease Control.

    Exposures: Drug exposure was taken from the National Survey of Drug Use and Health (NSDUH) conducted annually by Substance Abuse and Mental Health Services Administration. Nationally representative sample 67,000 participants annually. Drug exposures: cigarette consumption, alcohol abuse, analgesic/opioid abuse, cocaine use and last month cannabis use. Ethnicity and median household income: US Census Bureau. Maternal age of childbearing: CDC births registries. Cannabinoid concentrations: Drug Enforcement Agency seizures.

    Results. NSDUH report 74.1% mean annual response rate. All other data was population-wide. DS rate (DSR) was noted to be rising over time, cannabis use, and cannabis-use quintile. In the optimal geospatial model lagged to four years terms including Δ9-tetrahydrocannabinol and cannabigerol were significant (from β-est.=4189.96 (95%C.I. 1924.74, 6455.17), P=2.9x10-4). Ethnicity, income, and maternal age covariates were not significant. DSR in states where cannabis was not illegal was higher than elsewhere (β-est.=2.160 (1.5, 2.82), R.R.=1.81 (1.51, 2.16), P=4.7x10-10). In inverse probability-weighted mixed models terms including cannabinoids were significant (from β-estimate=18.82 (16.82, 20.82), P

    Conclusions. Our data show that the association between DSR and substance- and cannabinoid- exposure is robust to multivariable geotemporospatial adjustment, implicate particularly cannabigerol and Δ9-tetrahydrocannabinol, and fulfil causal crietria. Cannabis legalization was associated with elevated DSR’s. These findings are consistent with those from Hawaii, Colorado, Canada and Australia and concordant with several cellular mechanisms. Given that the cannabis industry is presently in a rapid growth-commercialization phase the present findings linking cannabis use with megabase scale genotoxicity suggest unrecognized DS risk factors, are of public health importance and suggest that re-focussing the cannabis debate on multigenerational and intergenerational health concerns is prudent.

  11. N

    Weed, CA Median Income by Age Groups Dataset: A Comprehensive Breakdown of...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Weed, CA Median Income by Age Groups Dataset: A Comprehensive Breakdown of Weed Annual Median Income Across 4 Key Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e961dd06-f353-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Weed
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Weed. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Weed. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2023

    In terms of income distribution across age cohorts, in Weed, householders within the 25 to 44 years age group have the highest median household income at $57,396, followed by those in the 45 to 64 years age group with an income of $39,867. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $30,929. Notably, householders within the under 25 years age group, had the lowest median household income at $30,625.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Weed median household income by age. You can refer the same here

  12. m

    Cannabis Exposure and Cannabis Legalization as a Potent Gene-Environment...

    • data.mendeley.com
    • search.datacite.org
    Updated Oct 19, 2020
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    Albert Reece (2020). Cannabis Exposure and Cannabis Legalization as a Potent Gene-Environment Interaction Driving Increasing Testicular Cancer Rates Across USA: Combined Geospatial and Causal Inference Study - Dataset [Dataset]. http://doi.org/10.17632/ttzb9xvb4v.1
    Explore at:
    Dataset updated
    Oct 19, 2020
    Authors
    Albert Reece
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data accompanies the article of the same name.

  13. r

    Spatial weights files for "Linked Rise of Cannabis Use and Autism Incidence...

    • researchdata.edu.au
    • data.mendeley.com
    Updated 2023
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    Albert Reece; Psychiatry (2023). Spatial weights files for "Linked Rise of Cannabis Use and Autism Incidence Demonstrated by Close Three Level Geospatiotemporal Relationships, USA, 1990-2011" [Dataset]. http://doi.org/10.17632/XMKZ2MR4PW.1
    Explore at:
    Dataset updated
    2023
    Dataset provided by
    Mendeley Data
    The University of Western Australia
    Authors
    Albert Reece; Psychiatry
    Area covered
    United States
    Description

    Spatial weights to accompany dataset of same name

  14. h

    cannabis_strains_es

    • huggingface.co
    Updated Mar 18, 2025
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    Mathias Gomez (2025). cannabis_strains_es [Dataset]. https://huggingface.co/datasets/M4tuuc/cannabis_strains_es
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 18, 2025
    Authors
    Mathias Gomez
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset to CannModel mini - spanish version. A little dataset of cannabis strains more common in South America with their flavor, effect, strain, CBD, %THC extrated from seeds seller pages (Queen Seeds). Excelent for fine-tunning model and medical recomendations

      license: apache-2.0
    
  15. N

    Weed, CA Population Breakdown By Race (Excluding Ethnicity) Dataset:...

    • neilsberg.com
    csv, json
    Updated Jul 7, 2024
    + more versions
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    Neilsberg Research (2024). Weed, CA Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/2e8fffb5-230c-11ef-bd92-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Weed
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Weed by race. It includes the population of Weed across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Weed across relevant racial categories.

    Key observations

    The percent distribution of Weed population by race (across all racial categories recognized by the U.S. Census Bureau): 68.65% are white, 8.15% are Black or African American, 2.39% are American Indian and Alaska Native, 5.34% are Asian, 8.40% are some other race and 7.07% are multiracial.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the Weed
    • Population: The population of the racial category (excluding ethnicity) in the Weed is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of Weed total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Weed Population by Race & Ethnicity. You can refer the same here

  16. m

    Cannabinoid Exposure as a Major Driver of Pediatric Acute Lymphatic...

    • data.mendeley.com
    • researchdata.edu.au
    • +1more
    Updated Oct 19, 2020
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    Albert Reece (2020). Cannabinoid Exposure as a Major Driver of Pediatric Acute Lymphatic Leukaemia Rates Across USA: Combined Geospatial and Causal Inference Study - Dataset [Dataset]. http://doi.org/10.17632/cf8c43yv62.1
    Explore at:
    Dataset updated
    Oct 19, 2020
    Authors
    Albert Reece
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data accompanies the paper of this title.

  17. Supplementary tables for: Cannabinoid Genotoxicity and Congenital Anomalies:...

    • researchdata.edu.au
    • data.mendeley.com
    Updated 2022
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    Albert Reece; UWA Medical School (2022). Supplementary tables for: Cannabinoid Genotoxicity and Congenital Anomalies: A Convergent Synthesis of European and USA Datasets [Dataset]. http://doi.org/10.17632/S38PMSKZ73.1
    Explore at:
    Dataset updated
    2022
    Dataset provided by
    Mendeley Ltd.
    The University of Western Australia
    Authors
    Albert Reece; UWA Medical School
    Area covered
    United States
    Description

    Supplementary Tables to accompany paper of the above title.

  18. A

    Gallup Polls, 1970

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1970 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml?persistentId=hdl:11272.1/AB2/E1YJJE
    Explore at:
    txt(54270)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada, Canada (CA)
    Description

    This dataset covers ballots 339-44, spanning January, March, May, July, September and November 1970. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 339 - January This Gallup poll aims to collect the opinions of Canadians on leading topics of the day. The questions are mostly politically based, and some of the subjects are taxation, prices, politics, pollution, and opinions towards marijuana. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Anglo-French relations; the Benson tax reform; dangers of pollution; the influence American television programmes have; the legalization of Marijuana; morality of sex before marriage; Marijuana use; political preferences; proposed law for trimester abortion; possibility of a price freeze; the quality of news coverage in Canada; the rate of Canadian dependency; ratings of government services; reliable media coverage; whether or not big cities should get a bigger tax share; the possibility of a wage freeze; and who gains the most from rising prices. Basic demographic variables are also included. 340 - March This Gallup poll seeks the opinions of Canadians on issues of importance to the government, and the country in general. The majority of the questions are politically based, asking opinions towards Canada's political leaders, parties, and policies. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: adequacy of teacher's pay; allowing Catholic priests to marry; the approval of the government's record to date; attending church; the ideal number of kids in a family; whether or not married women should be working outside of the home; political preferences; the possibility of provinces separating from Canada to join U.S.; the ratings of Stanfield as Opposition leader; the ratings of Trudeau as Prime Minister; the successfulness of wage-cost restraint; and the U.S. withdrawing from Vietnam. Basic demographic variables are also included. 341 - May This Gallup poll focuses mainly on gathering the opinions of Canadians towards issues of importance to the country and government. Most of the questions have something to do with politics, asking about political leaders, parties and politics. This survey contains a large section about taxation, and proposed tax reforms. Respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: the amount of money for the Old Age Pensions; the approval of capital gains tax; the approval of labour unions; big business's influence on Canada; birth control use; cabinet member's influence on Canada; Canadian and American television; denture wearers; the effects of tax reform; those who filed a tax return; whether or not the government is giving farmer's a square deal; if Canada has higher taxes then the United States; the influence labour unions have on Canada; making impaired drivers take breathalyser tests; the minimum requirements for percentage of Canadian material on television; the influence M.P.'s have on Canada; political preference; the preferred area of residence; the Prime Minister's influence on Canada; ratings of the Finance Minister's performance; ratings of the Minister of Consumer and Corporate Affairs; ratings of the Minister of Labour's performance; removing the Queen from stamps; the safety of birth control pills; satisfaction with amount of taxes; the seriousness of Quebec quitting the confederation; and if tight money policies will help inflation. Basic demographic variables are also included. 342 - July This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as wages and inflation, and attitudes towards marijuana. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: a 6% pay limit increase; Canada becoming a Republic instead of being under the Queen's reign; divorce rates; fighting inflation; having fines for Marijuana possession instead of jail time; laws regulating labour unions; the lies in commercials; the Maritimes becoming one province; political preferences; the threat of Quebec separation if Bourassa is elected as Premier of Quebec; raising wages to keep up with the cost of living; the rating of Eric Kierans as Postmaster General; the rating of J.J. Greene as Minister of Energy, Mines and Resources; rating of John Turner as Finance Minister; the rise of unemployment; and the West becoming one province. Basic demographic variables are also included. 343 - September This Gallup poll seeks the opinions of Canadians political and social issues. The questions ask opinions about political leaders and satisfaction levels. There are also questions on other topics such as economic conditions, the Feminist movement and employment. The respondents were also asked questions so that they could be grouped according to geographical variables. The topics of interest include: the amount of attention paid to Quebec; the Canadian economy; control of U.S. firms; the Feminist movement; helping people in poor areas; improving highway safety; improving housings; improving public education; issues that need the government's attention; how long one can live without working; Nixon's performance; preparing children for the future; political preferences; reducing the amount of crime; reducing pollution; reducing racial discrimination; reducing unemployment; satisfaction levels; issues involving U.S. capital; if Canada is getting closer to the U.S.; and if Winnipeg should be Canada's capital. Basic demographic variables are also included. 344 - November This Gallup poll aims to collect the opinions of Canadians on the leading topics of the day. The questions are mostly politically based, and some of the subjects are the sale of gas to the U.S, updating abortion laws and opinions on various public figures. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Canada being on the threshold of greatness; Canadian ownership of firms; whether or not the country is heading towards a depression; getting the death penalty for kidnapping a public figure; the fashionableness of mini-skirts; feelings towards French-Canadians; the sale of gas to the U.S,; growing Canadian nationalism; the Nation that is a great country; political preference; prohibiting stores to be open on Sunday; the ratings of John Robart's (Premier of Ontario) conduct during crisis; the ratings of NDP leader Douglas' conduct in crisis; the ratings of opposition leader Stanfield's conduct in crisis; the ratings of Real Caouette's (leader of the creditiste party) conduct in crisis; the ratings of Robert Bourassa's (Premier of Quebec) conduct in crisis; the ratings of Trudeau's conduct in crisis; revising abortion laws; strength of the United Nations; the U.N. peace keeping army; and using the War measures act to handle FLQ. Basic demographic variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

  19. U

    Crime in America, 1995

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    Updated Nov 30, 2007
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    UNC Dataverse (2007). Crime in America, 1995 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/D-31326
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    application/x-sas-transport(1119280), txt(1046205), application/x-spss-por(321440), pdf(1950100), tsv(331728)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-31326https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-31326

    Area covered
    United States
    Description

    This survey focuses on crime. Issues addressed include media coverage of crime, criminal justice programs on television ('COPS,' 'Justice Files'), opinions of the neighborhood respondents live in, worrying about being a victim of crime, ability of the police (to protect, solve and prevent crime) opinions of community courts, sentencing, rehabilitation of criminals, the death penalty, gun control, legalization of marijuana, juvenile crime, and drug use. Demographic data include marital status, party affiliation, political ideology, education, religious preference, race, sex, age, and income.

  20. Marijuana mapping summary of four watersheds.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Scott Bauer; Jennifer Olson; Adam Cockrill; Michael van Hattem; Linda Miller; Margaret Tauzer; Gordon Leppig (2023). Marijuana mapping summary of four watersheds. [Dataset]. http://doi.org/10.1371/journal.pone.0120016.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Scott Bauer; Jennifer Olson; Adam Cockrill; Michael van Hattem; Linda Miller; Margaret Tauzer; Gordon Leppig
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Marijuana mapping summary of four watersheds.

Share
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Statista (2024). Number of Americans who used marijuana in the past year 2009-2023 [Dataset]. https://www.statista.com/statistics/611714/marijuana-use-during-past-year-in-the-us/
Organization logo

Number of Americans who used marijuana in the past year 2009-2023

Explore at:
Dataset updated
Nov 1, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, approximately 61.8 million people used marijuana in the past year. This statistic shows the number of people in the U.S. who have used marijuana in the past year from 2009 to 2023.

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