Name: Electronic Cigarette Tax Regulations
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

Electronic Cigarette Tax Regulations

US E-Cig Tax Regulations

1995-2016 State Taxation Policies

By Health [source]

About this dataset

This dataset, provided by the Centers for Disease Control and Prevention (CDC) through the State Tobacco Activities Tracking and Evaluation (STATE) System, contains information on state-level legislative data on tobacco use prevention and control policies related to e-cigarette taxes. It captures various measures of state excise taxes for e-cigarettes implemented over a span of almost two decades. The STATE System stores comprehensive historical data which can be used to track changes in these policies at the state level over time. This dataset includes fields such as location abbreviations, topic descriptions, measure descriptions, provision value, provision description, citations and more that provide valuable insight into understanding how these measures have evolved overtime across states in the US

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How to use the dataset

This dataset contains information on state-level legislative data on tobacco use prevention and control policies related to e-cigarette taxes from 1995-2016. It includes the following columns: location abbreviations, location descriptions, topic descriptions, measure descriptions, data sources, provision group descriptions, provision descriptions, provision values, citations for the provisions cited in the dataset as well as alternative values for those provisions if they are used. Additionally it contains dates when certain provisions become effective or enacted and also geographic locations of the data which can be used as a helpful reference point.

In order to best use this dataset you should familiarize yourself with its columns and their definitions. This will help you better understand how each element relates to others within the set and give you an idea of what type of analyses can be conducted using it. You should also take note of any relevant comments that may shed light on specific elements or provide additional information not captured in other columns. After understanding the contents of this dataset it is suggested that individuals analyze it according to their individual needs and interests but some general uses may include exploring trends in e-cigarette taxation over time by examining yearly changes in tax rates or seeing how tax regulation varies among states depending on location abbreviations provided in each row entry etc.. With these tools one could potentially make meaningful connections between different variables within this set and gain valuable insights into how US states legislate taxes related to tobacco use prevention methods

Research Ideas

Analyzing the impact of e-cigarette taxes on usage rates in different states, in order to inform tax policy decisions.

Examining the differences between enacted and effective dates for legislations by state and across the country, in order to gain a better understanding of how long it takes for new laws to become implemented.

Tracking changes of e-cigarette regulation over time and studying how they correlate with measures such as number of youth users or youth perception on risk associated with e-cigarettes by state

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Open Database License (ODbL) v1.0

You are free to:

Share - copy and redistribute the material in any medium or format.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Keep intact - all notices that refer to this license, including copyright notices.

No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: CDC_STATE_System_E-Cigarette_Legislation_-_Tax.csv

Column name	Description
YEAR	Year of the policy (Integer)
Quarter	Quarter of the year the policy was enacted (Integer)
LocationAbbr	Abbreviation of the state the policy was enacted in (String)
LocationDesc	Description of the state the policy was enacted in (String)
TopicDesc	Description of the topic the policy relates to (String)
MeasureDesc	Description of the measure the policy relates to (String)
DataSource	Source of the data (String)
ProvisionGroupDesc	Description of the provision group the policy relates to (String)
ProvisionDesc	Description of the provision the policy relates to (String)
ProvisionValue	Value of the provision (Integer)
Citation	Citation of the policy (String)
ProvisionAltValue	Alternative value of the provision (Integer)
DataType	Type of data (String)
Comments	Comments about the policy (String)
Enacted_Date	Date the policy was enacted (Date)
Effective_Date	Date the policy became effective (Date)
GeoLocation	Location of the policy (String)
DisplayOrder	Order of the policy (Integer)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Health.

Tables

Cdc State System E Cigarette Legislation Tax

@kaggle.thedevastator_us_e_cig_tax_regulations.cdc_state_system_e_cigarette_legislation_tax

277.4 kB
23,329 rows
24 columns

CREATE TABLE cdc_state_system_e_cigarette_legislation_tax (
  "index" BIGINT,
  "year" BIGINT,
  "quarter" BIGINT,
  "locationabbr" VARCHAR,
  "locationdesc" VARCHAR,
  "topicdesc" VARCHAR,
  "measuredesc" VARCHAR,
  "datasource" VARCHAR,
  "provisiongroupdesc" VARCHAR,
  "provisiondesc" VARCHAR,
  "provisionvalue" VARCHAR,
  "citation" VARCHAR,
  "provisionaltvalue" DOUBLE,
  "datatype" VARCHAR,
  "comments" VARCHAR,
  "enacted_date" TIMESTAMP,
  "effective_date" TIMESTAMP,
  "geolocation" VARCHAR,
  "displayorder" BIGINT,
  "topictypeid" VARCHAR,
  "topicid" VARCHAR,
  "measureid" VARCHAR,
  "provisiongroupid" VARCHAR,
  "provisionid" BIGINT
);