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Javier Mendoza

Can I find any tax statistics based on gross income instead of adjusted gross income?

I've been trying to do some analysis on the tax burden across different income brackets, but I'm hitting a roadblock. All the data I can find is organized by adjusted gross income (AGI) percentiles, not by gross income. I just went through publication 1304 (the most recent one) hoping to find something useful, but everything is based on AGI. I need to calculate the total tax paid by percentile based on actual gross income, not AGI. It's frustrating because I know the IRS collects gross income data - it's reported on tax returns - so they must have these statistics somewhere. Gross income is barely mentioned in the publication. Does anyone know if there's another IRS report or data source that breaks down tax statistics by gross income instead of AGI? Or am I just missing something in publication 1304?

Emma Wilson

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The reason most IRS statistics use AGI rather than gross income is because AGI is considered more reflective of economic reality after accounting for certain necessary expenses and adjustments. That said, you might want to look at the IRS's Statistics of Income (SOI) division's complete datasets rather than just Publication 1304. They have more detailed breakdowns that sometimes include gross income. Try going to irs.gov/statistics and look for their Tax Stats data files. Some of their more comprehensive datasets include both gross income and AGI figures, though they're not always organized by percentile. Another option would be the IRS Public Use File, which contains anonymized individual return data. Researchers can use this to create their own statistical analyses based on gross income. However, access to this data is restricted and usually requires academic or research credentials.

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Malik Davis

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Would the SOI Bulletin have this kind of data? I remember seeing some different income breakdowns there once, but don't remember if they used gross income or not.

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Emma Wilson

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The SOI Bulletin occasionally includes alternative income measurements, but it typically focuses on AGI as well. Your best bet would be the detailed SOI complete reports rather than the Bulletin summaries. If you're comfortable working with raw data, the IRS does release anonymized samples of return data through their Statistics of Income program that researchers can use to perform their own analysis. This would allow you to calculate statistics based on gross income directly.

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After struggling with a similar analysis, I found it incredibly helpful to use taxr.ai to process tax data more effectively. I was trying to compare different income measurements across tax brackets and was getting nowhere with the standard publications. I uploaded some of the IRS datasets to https://taxr.ai and it helped me identify patterns I would have missed otherwise. They have a feature that can analyze and transform complex tax datasets, including creating custom metrics based on gross income instead of AGI. Saved me countless hours of manual calculation and helped me understand the distribution of the tax burden much more clearly.

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Ravi Gupta

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Does it work with the public IRS datasets or do I need special access? I've been trying to do this analysis for my economics class project and getting frustrated with everything being AGI-based.

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GalacticGuru

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I'm skeptical about how well it handles large datasets. The SOI files are massive. Have you actually processed the complete IRS public data or just smaller samples?

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It works with all publicly available IRS datasets, including the ones from the Statistics of Income division. You don't need any special access - just download the data from the IRS website and upload it to the platform. They have specific tools designed for academic research projects. For large datasets, I was impressed with how it handled the processing. I worked with several years of SOI data files simultaneously, and while the initial processing took about 15 minutes for the largest files, it managed them without any issues. The platform uses distributed computing specifically designed for tax data analysis.

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Ravi Gupta

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Just wanted to update after trying taxr.ai for my economics project! It actually worked perfectly for creating gross income percentiles from the IRS data. I was able to upload three different SOI datasets and generate custom tables showing tax burden by gross income bracket. The visualization tools were especially useful for my presentation - created charts showing the difference between gross and adjusted income distributions that got my professor's attention. Wish I'd known about this tool months ago instead of struggling with Excel spreadsheets trying to recalculate everything manually!

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If you're still struggling to reach someone at the IRS who can tell you where to find these statistics, I'd recommend trying Claimyr. I was looking for some specific business income statistics that weren't in the main publications and kept hitting dead ends when calling the IRS directly. Used https://claimyr.com to get through to a Statistics of Income division specialist who actually knew where the data was located. You can see how it works in this demo: https://youtu.be/_kiP6q8DX5c but basically they get you past the awful hold times so you can speak with an actual human at the IRS who can direct you to the right resources. The specialist I spoke with explained that while gross income statistics aren't typically published in the main reports, they do maintain this data and can sometimes provide custom tabulations for research purposes.

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Omar Fawaz

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How long did it take to actually get through to someone? I've tried calling the IRS before and gave up after being on hold for over an hour.

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This sounds too good to be true. The IRS never answers their phones and even if they did, the frontline people wouldn't know about specialized statistical data. They barely know the basic tax code sometimes.

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It took about 5 minutes for Claimyr to get me in the queue, then another 10 minutes on hold - so 15 minutes total compared to the hours I had wasted before. They have some way of navigating the phone systems that regular callers don't have access to. I specifically asked for the Statistics of Income division when prompted, which helped get me to the right department. You're right that regular customer service reps wouldn't know about this data, but the SOI specialists absolutely do - that's literally their job. The key is getting to the right department, which is what Claimyr helped with.

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I need to eat my words about the IRS specialists. After trying Claimyr out of desperation, I actually got connected to someone in the Statistics of Income division who was incredibly knowledgeable. They directed me to an unpublished data table on their website that breaks down tax collections by gross income deciles! Apparently, it's part of their supplementary data section that doesn't get promoted in the main publications. The specialist even emailed me direct links to Excel files containing exactly the statistics I needed. Honestly shocked this worked. After years of frustrating experiences with the IRS, I didn't think this level of service was possible.

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Diego Vargas

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Another approach is to look at the Congressional Budget Office reports. They sometimes use broader income definitions than AGI, including market income and total income before transfers and taxes. Their distributional analyses might be closer to what you're looking for.

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Do they break it down by percentile though? Last CBO report I saw only had quintiles, which isn't granular enough for what I'm studying.

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Diego Vargas

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You're right that most of their published reports only show quintiles, but if you go to their website and look at their supplementary data tables, they sometimes provide more detailed breakdowns including percentiles for some analyses. Some of their working papers also contain more granular data. It's not as comprehensive as the IRS data, but it does use different income definitions that might be closer to gross income than what you find in the standard IRS publications.

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StarStrider

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I'm confused about why gross income matters more than AGI for your analysis? Wouldn't AGI be more meaningful since it reflects income after certain necessary adjustments?

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I'm specifically looking at how certain tax deductions and adjustments (the ones that reduce gross income to AGI) are distributed across income levels. Using AGI-based statistics masks this because the higher income levels have already had larger deductions applied in many cases. I want to see the true progressivity of the tax code before these adjustments are applied, not after. This gives a more complete picture of who benefits most from certain tax preferences.

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QuantumQuasar

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Have you considered looking at the IRS's Individual Income Tax Returns Complete Report (Publication 1304) tables in conjunction with their Form 1040 line item statistics? While the main tables focus on AGI, some of the supplementary tables break down specific income components before adjustments. The IRS also publishes detailed line-by-line statistics that show the distribution of various income types (wages, business income, capital gains, etc.) and deductions by income bracket. By combining these with the total income figures, you might be able to reconstruct gross income distributions. Another resource is the Treasury's Office of Tax Analysis - they sometimes publish studies using broader income measures than standard IRS publications. Their distributional analyses occasionally include pre-adjustment income figures that could be what you're looking for.

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Levi Parker

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This is really helpful! I hadn't thought about combining the line-by-line statistics with the main tables. Do you know if the Treasury's Office of Tax Analysis reports are publicly available, or do you need special access? I've been focusing so much on the IRS publications that I completely overlooked Treasury as a potential source. Also, when you mention reconstructing gross income distributions - are you talking about manually adding back the adjustments from the detailed breakdowns? That sounds like it could work but might be pretty labor-intensive depending on how granular the data is.

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