United States US: Smoking Prevalence: Males: % of Adults data was reported at 24.600 % in 2016. This records a decrease from the previous number of 25.100 % for 2015. United States US: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 26.800 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 34.500 % in 2000 and a record low of 24.600 % in 2016. United States US: Smoking Prevalence: Males: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 21.800 % in 2016. This records a decrease from the previous number of 22.300 % for 2015. United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 23.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 31.400 % in 2000 and a record low of 21.800 % in 2016. United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

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). Adults included in this indicator are current cigarette smokers. Current smokers are defined as adults who smoked at least 100 cigarettes in their lifetime and currently smoke.Tobacco use is a leading preventable cause of premature death and disability. Cities and communities can curb tobacco use by adopting policies to regulate tobacco retail and reduce exposure to secondhand smoke in outdoor public spaces, such as parks, restaurants, or in multi-unit housing.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco. 45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent. At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population (CNP) at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Unit (PSU)s and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the CNP at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort. At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the CNP at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This "second replenishment sample" was combined for estimation and analysis purposes with the Wave 7 adult and youth respondents from the Wave 4 Cohorts who were at least age 15 and in the CNP at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort. Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts. Dataset 0002 (DS0002) contains the data from the State Design Data. This file contains 7 variables and 82,139 cases. The state identifier in the State Design file reflects the participant's state of residence at the time of selection and recruitment for the PATH Study. Dataset 1011 (DS1011) contains the data from the Wave 1 Adult Questionnaire. This data file contains 2,021 variables and 32,320 cases. Each of the cases represents a single, completed interview. Dataset 1012 (DS1012) contains the data from the Wave 1 Youth and Parent Questionnaire. This file contains 1,431 variables and 13,651 cases. Dataset 1411 (DS1411) contains the Wave 1 State Identifier data for Adults and has 5 variables and 32,320 cases. Dataset 1412 (DS1412) contains the Wave 1 State Identifier data for Youth (and Parents) and has 5 variables and 13,651 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state Federal Information Processing System (FIPS), state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 1, which is also their state of residence at the time of recruitment. Dataset 1611 (DS1611) contains the Tobacco Universal Product Code (UPC) data from Wave 1. This data file contains 32 variables and 8,601 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 1. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used

The high prevalence of dual use of cigarettes and smokeless tobacco is a unique tobacco use behavior in the US military population. However, dual tobacco use has rarely been addressed in active duty populations. We aimed to identify factors contributing to dual tobacco use among active duty service members from Army and Air Force. We also compared age at initiation, duration of use, and amount of use between dual users and exclusive users. The study included 168 exclusive cigarette smokers, 171 exclusive smokeless tobacco users, and 110 dual users. In stepwise logistic regression, smokeless tobacco use among family members (OR = 4.78, 95% CI = 2.05–11.13 for father use vs. no use, OR = 3.39, 95% CI = 1.56–7.37 for other relatives use vs. no use), and deployment history (serving combat unit vs. combat support unit: OR = 4.12, 95% CI = 1.59–10.66; never deployed vs. combat support unit: OR = 3.32, 95% CI = 1.45–7.61) were factors identified to be associated with dual use relative to exclusive cigarette smoking. Cigarette smoking among family members (OR = 1.96, 95% CI = 1.07–3.60 for sibling smoking), high perception of harm using smokeless tobacco (OR = 2.34, 95% CI = 1.29–4.26), secondhand smoke exposure (OR = 4.83, 95% CI = 2.73–8.55), and lower education (associated degree or some college: OR = 2.76, 95% CI = 1.01–7.51; high school of lower: OR = 4.10, 95% CI = 1.45–11.61) were factors associated with dual use relative to exclusive smokeless tobacco use. Compared to exclusive cigarette smokers, dual users started smoking at younger age, smoked cigarettes for longer period, and smoked more cigarettes per day. Our study addressed dual tobacco use behavior in military population and has implications to tobacco control programs in the military.

In 2023, around 28.6 percent of the population aged 15 years and above in Indonesia were smokers. Smoking prevalence in Indonesia peaked in 2018 at 32.2 percent. To address the widespread prevalence of smoking, the government imposed a tax hike in 2020. Cigarette consumption in Indonesia Despite the Indonesian government's increase in excise duties on cigarettes and tobacco products, smoking among adults remains high, particularly among men. Cultural norms, low prices, and aggressive tobacco marketing significantly challenge efforts to reduce smoking rates. In Indonesia, smoking is deeply embedded in social practices and often begins at a young age. Recent data indicates that Indonesians aged 18 to 59 smoke an average of 12 cigarettes daily, equivalent to one regular-sized pack of cigarettes sold in the country. Tobacco industry in Indonesia The tobacco industry in Indonesia is a vital economic sector, ranking among the world’s leading producers and consumers of tobacco. Indonesia produced over 200,000 metric tons of tobacco annually, with exports to countries such as the Philippines and the United States. This extensive production and export network underscores the industry's importance to Indonesia's economy. The total export value of tobacco and its manufactured products from Indonesia is estimated to be nearly two billion U.S. dollars, highlighting its significant contribution to the nation's economic landscape.

US: Smoking Prevalence: Females: % of Adults data was reported at 19.100 % in 2016. This records a decrease from the previous number of 19.600 % for 2015. US: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 21.100 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 28.400 % in 2000 and a record low of 19.100 % in 2016. US: Smoking Prevalence: Females: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of smoking, female is the percentage of women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

The South African government imposed one of the strictest lockdowns in the world as part of measures to curb the spread of COVID-19 in the country, including a ban on the sale of tobacco products. This study explored news media coverage of arguments and activities in relation to the South African lockdown tobacco sales ban. We collected media articles published between 26 March to 17 August 2020, which corresponded to the period of the sales ban. Data were sourced via google search and snowball identification of relevant articles. Thematic analysis of data was conducted with the aid of NVivo. We analysed a total of 305 articles relevant to the South African tobacco sales ban during the lockdown. Six major themes were identified in the data: challenges associated with implementing the ban, litigation, and threats of litigation to remove the ban, governance process and politicization of the ban, pro and anti-tobacco sales ban activities and arguments and reactions to the announcement lifting the ban. The initial reason for placing the ban was due to the non-classification of tobacco products as an essential item. Early findings of a link between tobacco smoking and COVID-19 disease severity led to an extension of the ban to protect South Africa’s fragile health system. Pro-sales ban arguments included the importance of protecting the health system from collapse due to rising COVID-19 hospitalization, benefit of cessation, and the need for non-smokers to be protected from exposure to secondhand smoke. Anti-sales ban arguments included the adverse effect of nicotine withdrawal symptoms on smokers, loss of jobs and the expansion of the illicit cigarette markets. Litigation against the ban’s legality was a strategy used by the tobacco industry to mobilize the public against the ban while promoting their business through the distribution of branded masks and door-to-door delivery which goes against current tobacco regulations. The media could serve as a veritable tool to promote public health if engaged in productive ways to communicate and promote public health regulations to the general population. Engagement with the media should be enhanced as part of health promotion strategies.

PRAMS Maternal Attitudes Data

US Pregnancy Risk Assessment Monitoring, 2009

By Health [source]

About this dataset

This dataset provides a fascinating glimpse into the attitudes and experiences of women before, during, and after pregnancy in the United States. Produced by the Centers for Disease Control and Prevention (CDC) as part of the Pregnancy Risk Assessment Monitoring System (PRAMS), this population-based data contains insights into maternal abuse, alcohol use, contraception, breastfeeding habits, mental health issues, morbidity rates, obesity rates, preconception care patterns , pregnancy history data , prenatal care trends , sleep behaviors , smoke exposure rates , stress levels , tobacco use , WIC involvement Medicaid utilization infant health outcomes and unintended pregnancies. State health departments can use this information to devise strategies to improve the overall wellbeing of mothers and infants throughout all phases of prenatal care. Discover new perspectives on maternal habits while you explore this diverse set of columns including LocationAbbv., LocationDesc., Class., Topic,. Question., DataSource., Response,. DataValueUnit,, DataValueType,. FootnoteSymbol. DataValueStdErr., SampleSize,, BreakOut,,,, BreakOutCategory.. Geolocation. With annual updates available from PRAMS project as new results are available don't be out of the loop - dive in today!

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How to use the dataset

This dataset contains population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy in the US. It is provided by the Centers for Disease Control and Prevention (CDC). This dataset offers valuable insights into the individual experiences of mothers in the US, which could be used for a variety of purposes.

The PRAMS dataset contains data from 2009 onwards. The entries include year, location ID, location description, question type classabbreviation topicquestion response source unit value typevalue symbol standard error sample size break out category geolocation . In order to make better use of this dataset, it is important to understand how each entry relates to one another.

Year:The year indicates when the data was collected.

Location Abbr: This field provides an abbreviated region or state id where the data was collected.

Location Desc: The description provides a more detailed geographic area where the data was collected such as city or county that can help pinpoint more exact locations than a broad regional viewpoint provides.

Class : This is what PIDSS considers a “question type” and can range from asked directly to respondents or sentinel events often recorded within insurance claims-based datasets such as emergency room visits specific questions about smoking habits are also included in this section along with questions about family history as part of an overall health status assessment/risk categorization depiction done retrospectively on participants/respondents who already have experienced some level of health issue arising from their situation whether pre-pregnancy postpartum etc..

Topic : Each question references an umbrella topic so answers can be compared across various aspects related to difficulty experienced during pregnancy expectancy time frames protocols that should have been followed etc..

Question – Wordsmithing for clarity aims increase accuracy when deciphering causality links meaning by increasing terminology clarification which becomes essential when determining statistically significant correlations at different subgroups where appropriate additional information—including sensitivity may exist regarding certain politically or religiously charged topics answered within survey settings etc…

Data Source - These are static character strings HDDHCPPVPCDAODMBMTXNCVwhatever whichever methodology employed answer gathering-- telephone interviews focus groups electronic surveys abstractions from records found at provider lab radiology sites whatever descriptors saved intended capture magnitude relevant details having meaningful impact upon analysis discussions . . .also encompass elements incidenceprevalence cummulative extents seasonality temporal trends individual contributory factors identified linkages with confounders if any…..

Response

Research Ideas

• Analyzing trends in maternal attitudes and experiences among different states in the US to inform policy-making.
• Identifying associations between pregnancy health outcomes and specific behaviors, like alcohol consumption o...

Sample characteristics among current smokers by baseline survey year (TUS-CPS).

Comparing the *** selected regions regarding the smoking prevalence , Myanmar is leading the ranking (***** percent) and is followed by Serbia with ***** percent. At the other end of the spectrum is Ghana with **** percent, indicating a difference of ***** percentage points to Myanmar. Shown is the estimated share of the adult population (15 years or older) in a given region or country, that smoke on a daily basis. According to the WHO and World bank, smoking refers to the use of cigarettes, pipes or other types of tobacco.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

This map shows observed air quality conditions based on fine scale particulate (PM2.5) concentrations, as well as fire locations from incidents and satellite detections, and smoke plumes detected by satellites. The U.S. Air Quality Index (AQI) is a tool for communicating air quality. It uses color-coded categories and provides statements for each category that tell you about air quality in your area, which groups of people may be affected, and steps you can take to reduce your exposure to air pollution. Each category tells you about air quality in your area and the groups of people that may be affected. It also tells you steps you can take to reduce your exposure to air pollution and protect your health. Higher values indicate worse air quality. EPA issues an AQI for five pollutants, including fine particle pollution, (PM2.5) and ozone.

City of Greensboro Fire Incidents From July 1, 2010 to the Present date.The Greensboro Fire Department exists as an organization for one purpose - to serve people. Our mission is to protect life, property, and the environment for all people entrusted to our care.Our operating priorities:SafetyCourtesyExcellent ServiceEfficiencyContinuous Improvement Smoke AlarmsDon't forget to routinely change your smoke alarm batteries. And if your smoke alarm does not work, contact us at 336-373-2576 to schedule installation of a new smoke alarm or for replacement batteries.Social Media CampaignProve you have what it takes to make your home as safe as possible. Upload a selfie or video of you testing your smoke alarm to Facebook or Twitter using the #HearTheAlarm. Together we can make our communities safe.