Current marijuana use among U.S. adults in 2023 was highest in Vermont, where around 26.67 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 2023, around 133 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.

Objectives: Define the role of increasing cannabis availability on population mental health (MH).

Methods. Ecological cohort study of National Survey of Drug Use and Health (NSDUH) geographically-linked substate-shapefiles 2010-2012 and 2014-2016 supplemented by five-year US American Community Survey. Drugs: cigarettes, alcohol abuse, last-month cannabis use and last-year cocaine use. MH: any mental illness, major depressive illness, serious mental illness and suicidal thinking. Data analysis: two-stage and geotemporospatial methods in R.

Results: 410,138 NSDUH respondents. Average response rate 76.7%. When all drug exposure, ethnicity and income variables were combined in final geospatiotemporal models tobacco, alcohol cannabis exposure, and various ethnicities were significantly related to all four major mental health outcomes. Cannabis exposure alone was related to any mental illness (β-estimate= -3.315+0.374, P<2.2x10-16), major depressive episode (β-estimate= -3.712+0.454, P=3.0x10-16), serious mental illness (SMI, β-estimate= -3.063+0.504, P=1.2x10-9), suicidal ideation (β-estimate= -3.013+0.436, P=4.8x10-12) and with more significant interactions in each case (from β-estimate= 1.844+0.277, P=3.0x10-11). Geospatial modelling showed a monotonic upward trajectory of SMI which doubled (3.62% to 7.06%) as cannabis use increased. Extrapolated to whole populations cannabis decriminalization (4.35+0.05%, Prevalence Ratio (PR)=1.035(95%C.I. 1.034-1.036), attributable fraction in the exposed (AFE)=3.28%(3.18-3.37%), P<10-300) and legalization (4.66+0.09%, PR=1.155(1.153-1.158), AFE=12.91% (12.72-13.10%), P<10-300) were associated with increased SMI vs. illegal status (4.26+0.04%).

Conclusions: Data show all four indices of mental ill-health track cannabis exposure and are robust to multivariable adjustment for ethnicity, socioeconomics and other drug use. MH deteriorated with cannabis legalization. Together with similar international reports and numerous mechanistic studies preventative action to reduce cannabis use-exposure is indicated.

This report uses 2006 to 2010 National Survey on Drug Use and Health (NSDUH) to assess the source of most recently used marijuana among youth aged 12 to 14 who are past year marijuana users.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on self-report and includes adults who used any form of marijuana at least one time in the past month.Among federally prohibited drugs and substances, marijuana is the most commonly used. In early 2018, marijuana became legal for recreational sale and consumption in California. Using marijuana at any age can lead to negative health consequences, which include psychological conditions such as depression or anxiety; brain damage affecting memory, attention, and learning ability; lung and cardiovascular system damage; harm to developing fetuses or infants; and increased risk for motor vehicle crashes. Marijuana use has long been associated with the use of other substances, including alcohol, tobacco, and prescription and illicit narcotics. Cities and communities should take an active role in educating residents, particularly youth, pregnant persons, and other vulnerable groups, about the potential risks of marijuana use and adopt policies that regulate and ensure safe marijuana retail activity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This report uses 2006 to 2010 National Survey on Drug Use and Health (NSDUH) to assess the source of most recently used marijuana among youth aged 12 to 14 who are past year marijuana users.

About this dataset

Context

The dataset tabulates the Weed population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Weed. The dataset can be utilized to understand the population distribution of Weed by age. For example, using this dataset, we can identify the largest age group in Weed.

Key observations

The largest age group in Weed, CA was for the group of age 55 to 59 years years with a population of 308 (11.14%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Weed, CA was the 75 to 79 years years with a population of 34 (1.23%). 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 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 in consideration
• Population: The population for the specific age group in the Weed is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

This is the raw data used for the analyses of the study. It includes all the variables analyzed in the manuscript. The file "Main data" corresponds to all variables relative to sociodemographic factors, health indicators, or cannabis-related items. The files "Preguntes_resposta_multiple" and "Resposta multiple_2" contain the variables and all answers of multiple option items. These are located in different files since their analysis requires a different organization of the dataset.

About this dataset

Context

The dataset tabulates the Weed population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Weed across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Weed was 2,574, a 5.96% decrease year-by-year from 2022. Previously, in 2022, Weed population was 2,737, a decline of 2.08% compared to a population of 2,795 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Weed decreased by 379. In this period, the peak population was 3,055 in the year 2005. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Weed is shown in this column.
• Year on Year Change: This column displays the change in Weed population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

Marijuana use is increasing worldwide, and it is ever more likely that patients presenting with acute myocardial infarctions (AMI) will be marijuana users. However, little is known about the impact of marijuana use on short-term outcomes following AMI. Accordingly, we compared in-hospital outcomes of AMI patients with reported marijuana use to those with no reported marijuana use. We hypothesized that marijuana use would be associated with increased risk of adverse outcomes in AMI patients. Hospital records from 8 states between 1994–2013 were screened for patients with a diagnosis of AMI. Clinical profiles and outcomes in patients with reported use of marijuana were compared to patients without reported marijuana use. Short-term outcomes were defined as adverse events that occurred during hospitalization for an admitting diagnosis of AMI. The composite primary outcome included death, intraaortic balloon pump placement, (IABP), mechanical ventilation, cardiac arrest, and shock. In total, 3,854 of 1,273,897 AMI patients reported use of marijuana. The marijuana cohort was younger than (47.2 vs. 57.2, respectively) and had less coronary artery disease than the non-marijuana cohort. In multivariable analysis including age, race and common cardiac risk factors, there was no association between marijuana use and the primary outcome (p = 0.53), but marijuana users were more likely to be placed on mechanical ventilation (OR (odds ratio) 1.19, p = 0.004). Interestingly, marijuana-using patients were significantly less likely to die (OR 0.79, p = 0.016), experience shock (OR 0.74, p = 0.001), or require an IABP (OR 0.80, p = 0.03) post AMI than patients with no reported marijuana use. These results suggest that, contrary to our hypothesis, marijuana use was not associated with increased risk of adverse short-term outcomes following AMI. Furthermore, marijuana use was associated with decreased in-hospital mortality post-AMI.

Baseline characteristics, marijuana use vs. no marijuana use.

Background: Whilst many studies have linked increased drug and cannabis exposure to adverse mental health (MH) outcomes their effects on whole populations and geotemporospatial relationships are not well understood.

Objectives: Determine: (1) if cannabis use is associated with major MH outcomes ascross space and time, (2) if such impacts are robust to multivariable adjustment and (3) if the relationship is causal.

Methods. Ecological cohort study of National Survey of Drug Use and Health (NSDUH) geographically-linked substate-shapefiles 2010-2012 and 2014-2016 supplemented by five-year US American Community Survey. Drugs: cigarettes, alcohol abuse, last-month cannabis use and last-year cocaine use. MH: any mental illness, major depressive illness, serious mental illness and suicidal thinking. Data analysis: two-stage, geotemporospatial, robust generalized linear regression and causal inference methods in R.

Results: 410,138 NSDUH respondents. Average response rate 76.7%. When all drug exposure, ethnicity and income variables were combined in final geospatiotemporal models tobacco, alcohol cannabis exposure, and various ethnicities were significantly related to all four major mental health outcomes. Cannabis exposure alone was related to any mental illness (β-estimate= -3.315 (95%C.I. -4.04, -2.58, P

Conclusions: Data show all four indices of mental ill-health track cannabis exposure across space and time and are robust to multivariable adjustment for ethnicity, socioeconomics and other drug use. MH deteriorated with cannabis legalization. Cannabis use-MH data are consistent with causal relationships in the forward direction and include dose-response relationships. Together with similar international reports and numerous mechanistic studies preventative action to reduce cannabis use is indicated.

Research Hypothesis - That cannabis may predispose to COVID-19 viral infection due to its immunomodulatory, envorinmental contaminants, vaping and smoking inhalation actions.
Data was analyzed by geospatial and causal inference techniques in R. Data was gathered from publicly available on line sources including: Data were downloaded from Publicly available datasets including: • US Census bureau 2019 • Five Year American Community Survey 2013-2018 • National Survey of Drug Use and Health (NSDUH) • NSDUH Resticted Use Data Analysis System (RDAS) • US Department of Transport International Flight Data • Worldometer Covid -19 Dataset

Data were collected in the six domains of: • COVID numbers • Fights – numbers of flights and numbers of overseas destionations • Median household income • State ethnic composition • Population and population density • Drug use

Inverse probability weights were constructed by inverse probability weighting conducted in package ipw in R.

Geospatial weights were constructed in package spdep in R.

Abstract copyright UK Data Service and data collection copyright owner. The aim of the project was to characterise patterns and consequences of cannabis use specifically in relation to work activities, academic performance, driving habits and sexual behaviour - situations in which the cannabis user may be at risk of indirect harm from their drug use. More broadly, the project also aimed to evaluate the impacts of cannabis use (positive or negative) on quality of life, and to examine whether developments in detection/law enforcement (e.g. workplace drug testing) would influence patterns of use. To this end, 100 regular users of cannabis (two to seven days/week) and 90 infrequent users (at most, four days per month) returned detailed questionnaires covering demographic characteristics, patterns of use, and the effects of cannabis use on general well-being, work/academic performance, driving and sexual behaviour. Respondents were from cities, towns and villages throughout England. Sixty respondents (30 from each user group) were later interviewed in depth on related topics, with a particular focus on the impact of cannabis use on their relationships with parents/partners. Eight respondents who had given up using cannabis were also interviewed to gain insight into reasons for quitting. This study uses a mixture of quantitative and qualitative methodology, and includes three quantitative data files (data from questionnaires and qualitative interviews) and one document comprising quotes from the interviews, available in Adobe PDF format. Main Topics: Topics covered in the questionnaire included: gender, ethnic group, educational background, qualifications, current and previous cannabis use, effects of cannabis use, motor vehicle ownership, alcohol use, other illegal drug use, general health and emotional state, economic activity, employment history, cannabis and work performance, cannabis and academic performance, cannabis and sexual behaviour. Themes covered in the interviews included: context of first use and patterns of cannabis use from onset to present day, smoking behaviour, dependence, positive and negative effects of cannabis, effects of cannabis on personal relationships, effects of cannabis on work performance, effects of cannabis on academic performance and attitudes towards the legalisation of cannabis and whether or not respondents considered cannabis to be a 'gateway drug' (i.e. leading to use of other drugs). Responses in the quantitative data files 'interviewdataforusers' and 'interviewdataforex-users' and the interview quotes document may be linked using the variable code in the data files and the code number by each quote in the interview quotes file. For the questionnaire respondents, a total of 590 questionnaires were distributed via 75 seeds to obtain the final sample of 100 frequent cannabis users and 90 infrequent cannabis users. The average number of returns per seed was 2.5 (+/- SEM 2.7). Face-to-face interview Self-completion

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2015 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For the 2008 survey, adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

This series measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, tobacco, and nonmedical use of prescription drugs among members of United States households aged 12 and older. Questions include age at first use, as well as lifetime, annual, and past-month usage for the following drug classes: cannabis, cocaine, hallucinogens, heroin, inhalants, alcohol, tobacco, nonmedical use of prescription drugs including psychotherapeutics, and polysubstance use. Respondents were also asked about their knowledge of drugs, perceptions of the risks involved, population movement, and sequencing of drug use. Fifty-seven percent of respondents were asked specific questions about their perceptions of the consequences of marijuana and alcohol use. The other 43 percent were asked about heroin use among friends. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, income level, and household composition. This study has 1 Data Set.

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2014 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For the 2008 survey, adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

This database automatically captures metadata, the source of which is the NACIONAL PUBLIC HEALTH INSTITY and corresponds to the source collection entitled “Prevalence of Marijuana Users, Slovenia, 2020”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

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).

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covers substance abuse treatment history and perceived need for treatment, and includes questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing.

• National Survey on Drug Use and Health, 2002 (ICPSR 3903): http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/64/studies/3903?archive=ICPSR&sortBy=7
• National Survey on Drug Use and Health, 2003 (ICPSR 4138): http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/64/studies/4138?archive=ICPSR&sortBy=7

This national report summarizes findings from the 2014 National Survey on Drug Use and Health (NSDUH) on trends in the behavioral health of people aged 12 years old or older in the civilian, noninstitutionalized population of the United States. It details the rates and numbers of use of illicit drugs (e.g., marijuana, cocaine, heroin, hallucinogens, inhalants, and the nonmedical use of prescription-type pain relievers, tranquilizers, stimulants, and sedatives), alcohol, and tobacco products; rates and number of substance use disorders (SUDs); and rates and numbers of persons with any mental illness (AMI), serious mental illness (SMI), and major depressive episode (MDE).Results are provided by age subgroups. Substance use trends are presented for 2002 to 2014, while trends for most mental health issues are reported for 2008 to 2014.Other topics included in the 2014 NSDUH are being published separately as data reviews. These data reviews cover national trends in suicidal thoughts and behavior among adults, substance use treatment, mental health service use, initiation of substance use, and substance use risk and protective factors.