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TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
By Health [source]
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
For more datasets, click here.
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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
- 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
If you use this dataset in your research, please credit the original authors. Data Source
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.
File: CDC_STATE_System_E-Cigarette_Legislation_-_Tax.csv | Column name | Description | |:-----------------------|:------------------------------------------------------------------| | YEAR | Year of the policy (Integer) ...
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TwitterSource: Publication 15-A Cat. No. 21453T Employer's Supplemental Tax Guide (Supplement to Pub. 15, Employer's Tax Guide) For use in 2018
Full Name: Wage Bracket Percentage Method Tables for Computing Income Tax Withholding From Gross Wages (For Wages Paid in 2018, America)
This data set represents the American 2018 tables for withholding gross wages (not from wages exceeding allowance amount). Wages withheld from employee checks by the employer are computed by looking employee's W-4 form, finding the number of allowances, the pay-period of the business(Weekly, Semi-Monthly, etc..) and filing status (Married/Single), and then finding the wage range the employees change fall into. Once this is done, the employer will subtract a pre determined base amount (Base Amount Subtracted from Gross Wages), multiply that by a per-determined percentage (Percentage to Multiply), and the result will be the amount withheld from the employee's check for federal taxes. This amount does not include state, social security, and other taxes.
For example, an employee that is paid on a Bi-Weekly basis, that has filed for 2 allowances and Single, who has earned $2000 in the pay-period will have the following amount withheld from their check for federal taxes:
$2000 - $1171.38(base amount) = $828.62
$828.62 * .22 (per-determined percentage ) = $182.30 (amount withheld from their check for federal taxes)
This data set was developed from a burning hatred for not being able to find this information in an excel or csv format. So I have made one that can hopefully save someone else a little time and energy. For more information on tax laws and practices in America, please refer to the IRS.
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TwitterThis table represents the breakdown of taxes that are received by the federal government. Federal taxes received are represented as deposits in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million.
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TwitterThis table represents the breakdown of tax refunds by recipient (individual vs business) and type (check vs electronic funds transfer). Tax refunds are also represented as withdrawals in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million. As of February 14, 2023, Table VI Income Tax Refunds Issued was renamed to Table V Income Tax Refunds Issued within the published report.
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TwitterProperties with tax and/or water liens that are potentially eligible to be included in the next lien sale.
Tax Lien Sale Lists : Properties with tax, water liens and other charges that are potentially eligible to be included in the next lien sale plus tax liens which were eventually sold.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Disclaimer: This list is updated monthly on the website. If up-to-the-minute accuracy is needed, contact us at 312-603-6328. This dataset contains businesses registered for Titled Personal Property Retail Dealers.
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TwitterThis table represents the breakdown of inter-agency tax transfers within the federal government. All figures are rounded to the nearest million.
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TwitterGet data on the daily cash and debt operations of the U.S. Treasury, including cash balance, deposits, and withdrawals; income tax refunds; and debt transactions.
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TwitterThis table represents deposits and withdrawals from the Treasury General Account. A summary of changes to the Treasury General Account can be found in the Operating Cash Balance table. All figures are rounded to the nearest million.
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TwitterThis table represents the issues and redemption of marketable and nonmarketable securities. All figures are rounded to the nearest million.
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TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
By Health [source]
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
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
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
- 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
If you use this dataset in your research, please credit the original authors. Data Source
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.
File: CDC_STATE_System_E-Cigarette_Legislation_-_Tax.csv | Column name | Description | |:-----------------------|:------------------------------------------------------------------| | YEAR | Year of the policy (Integer) ...