# IRS Income Statistics by ZIP Code (2022) - URL: https://betteranalyst.com/datasets/irs-income-tax-data-by-zip-code Formula Bot is now Better Analyst—same account, more powerful analysis.Formula Bot is now Better Analyst—same account and workflows, with more powerful analysis, dashboards, and automation. [Learn what changed](https://betteranalyst.com/formula-bot-is-now-better-analyst) Individual income tax return data from the IRS Statistics of Income (SOI) program, aggregated by ZIP code and adjusted gross income (AGI) bracket for tax year 2022. Covers 27,590 ZIP codes across all 50 states and DC with 166,131 rows (each ZIP has up to 7 AGI bracket rows). Includes filing counts, income sources (wages, interest, dividends, capital gains), deductions (SALT, charitable), credits (EITC, child tax credit), and total tax paid. All dollar amounts are in thousands. 166.1K rows28 columns34.9 MB Download the full dataset Create a free account to download irs-income-by-zip.csv (34.89 MB) and use it anywhere. [Get the full file](https://betteranalyst.com/signup?returnUrl=%2Fdashboard%2Fexplore-data%2Firs-income-tax-data-by-zip-code\&dataset=irs-income-tax-data-by-zip-code) Try asking arrow\_forwardWhat are the top 20 highest-income ZIP codes by average AGI per return?arrow\_forwardCompare the distribution of income brackets across New York, California, and Texasarrow\_forwardWhich states have the highest percentage of returns claiming EITC?arrow\_forwardShow the relationship between capital gains income and SALT deductions by statearrow\_forwardWhat percentage of total tax revenue comes from the top income bracket by state?arrow\_forwardFind ZIP codes with the highest charitable contributions relative to income ## Data preview | state\_fips | state | zip\_code | agi\_bracket | num\_returns | num\_single | num\_joint | num\_head\_household | total\_agi | num\_with\_wages | total\_wages | num\_with\_interest | total\_interest\_income | num\_with\_dividends | total\_ordinary\_dividends | num\_with\_capital\_gains | total\_capital\_gains | total\_ira\_distributions | total\_pensions | total\_taxable\_income | num\_with\_income\_tax | total\_income\_tax | num\_with\_eitc | total\_eitc | num\_with\_child\_credit | total\_child\_tax\_credit | total\_salt\_deductions | total\_charitable | | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | | 1 | AL | 0 | 1 | 659530 | 422590 | 71000 | 154700 | 8735771 | 489450 | 6827320 | 87290 | 42624 | 3890 | 0 | 33630 | 25999 | 234520 | 834456 | 1186819 | 162900 | 87598 | 283760 | 877525 | 50660 | 16118 | 3033 | 14230 | | 1 | AL | 0 | 2 | 533640 | 276250 | 101050 | 141040 | 19414110 | 455350 | 16224681 | 86760 | 50743 | 4720 | 0 | 32620 | 66098 | 369374 | 1695659 | 9916782 | 379380 | 784918 | 150110 | 377795 | 173580 | 204461 | 18800 | 135079 | | 1 | AL | 0 | 3 | 304870 | 134050 | 109980 | 51600 | 18735575 | 257110 | 14580757 | 81820 | 55574 | 5630 | 0 | 35310 | 117516 | 458649 | 1935893 | 12661672 | 274440 | 1233280 | 4420 | 3228 | 99780 | 223101 | 45102 | 145315 | | 1 | AL | 0 | 4 | 193020 | 56350 | 113100 | 19090 | 16734715 | 161340 | 12416608 | 69410 | 61091 | 4170 | 0 | 30790 | 144047 | 482938 | 1866218 | 12282526 | 187040 | 1358115 | 0 | 0 | 68610 | 188131 | 50771 | 133847 | | 1 | AL | 0 | 5 | 315700 | 45000 | 252660 | 12180 | 43412373 | 271630 | 31832034 | 156700 | 184649 | 15730 | 0 | 84700 | 854015 | 1576915 | 4492652 | 34882260 | 313770 | 4684501 | 0 | 0 | 135180 | 387565 | 282212 | 606131 | | 1 | AL | 0 | 6 | 109460 | 7950 | 96190 | 940 | 51801083 | 93830 | 24206959 | 80450 | 509176 | 14790 | 0 | 60820 | 6256040 | 1315382 | 2014945 | 45349400 | 109260 | 10066566 | 0 | 0 | 37060 | 106188 | 979403 | 1579956 | | 1 | AL | 35004 | 1 | 1260 | 880 | 150 | 210 | 15888 | 880 | 11292 | 220 | 93 | 0 | 0 | 80 | 20 | 793 | 1815 | 2404 | 360 | 195 | 380 | 1056 | 60 | 18 | 42 | 0 | | 1 | AL | 35004 | 2 | 1320 | 770 | 230 | 280 | 49413 | 1120 | 40897 | 240 | 140 | 30 | 0 | 70 | 88 | 996 | 4170 | 26550 | 1010 | 2262 | 300 | 700 | 350 | 455 | 0 | 472 | | 1 | AL | 35004 | 3 | 1000 | 480 | 320 | 160 | 61695 | 880 | 50864 | 240 | 108 | 0 | 0 | 100 | 216 | 1243 | 4890 | 42630 | 920 | 4299 | 0 | 0 | 300 | 663 | 154 | 401 | | 1 | AL | 35004 | 4 | 620 | 200 | 330 | 70 | 53252 | 560 | 43998 | 200 | 131 | 0 | 0 | 70 | 324 | 1167 | 3665 | 39745 | 600 | 4501 | 0 | 0 | 230 | 655 | 202 | 488 | | 1 | AL | 35004 | 5 | 1040 | 130 | 860 | 50 | 139477 | 980 | 117497 | 430 | 233 | 30 | 0 | 200 | 1682 | 2321 | 8475 | 112029 | 1030 | 14485 | 0 | 0 | 510 | 1533 | 790 | 1559 | | 1 | AL | 35004 | 6 | 170 | 0 | 150 | 0 | 54075 | 160 | 34528 | 110 | 128 | 0 | 0 | 70 | 3055 | 1468 | 2220 | 47086 | 170 | 9569 | 0 | 0 | 80 | 212 | 811 | 1275 | | 1 | AL | 35005 | 1 | 1180 | 730 | 100 | 330 | 16643 | 920 | 14007 | 100 | 36 | 0 | 0 | 30 | 49 | 276 | 1523 | 2400 | 290 | 156 | 560 | 1899 | 120 | 42 | 0 | 0 | | 1 | AL | 35005 | 2 | 1050 | 510 | 160 | 350 | 38171 | 930 | 33895 | 120 | 54 | 0 | 0 | 30 | 32 | 477 | 3008 | 19588 | 710 | 1448 | 350 | 890 | 380 | 452 | 65 | 296 | | 1 | AL | 35005 | 3 | 530 | 230 | 160 | 130 | 32760 | 480 | 27334 | 90 | 45 | 0 | 0 | 30 | 14 | 605 | 2706 | 22461 | 490 | 2177 | 0 | 0 | 180 | 393 | 75 | 295 | | 1 | AL | 35005 | 4 | 260 | 70 | 120 | 60 | 22062 | 230 | 17971 | 60 | 40 | 0 | 0 | 20 | 3 | 492 | 1968 | 16480 | 240 | 1815 | 0 | 0 | 110 | 246 | 112 | 197 | | 1 | AL | 35005 | 5 | 240 | 40 | 170 | 20 | 30515 | 210 | 24421 | 100 | 87 | 0 | 0 | 30 | 458 | 913 | 2912 | 24393 | 230 | 3341 | 0 | 0 | 90 | 166 | 269 | 688 | | 1 | AL | 35005 | 6 | 30 | 0 | 30 | 0 | 9474 | 30 | 5401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8093 | 30 | 1553 | 0 | 0 | 0 | 0 | 0 | 0 | | 1 | AL | 35006 | 1 | 340 | 210 | 50 | 70 | 4271 | 220 | 2946 | 40 | 15 | 0 | 0 | 0 | 0 | 186 | 692 | 546 | 90 | 43 | 120 | 297 | 0 | 0 | 0 | 0 | | 1 | AL | 35006 | 2 | 330 | 170 | 100 | 60 | 12097 | 270 | 9460 | 60 | 33 | 0 | 0 | 40 | 4 | 176 | 1509 | 6025 | 250 | 492 | 80 | 194 | 110 | 124 | 0 | 0 | | 1 | AL | 35006 | 3 | 210 | 70 | 100 | 40 | 12790 | 170 | 9657 | 60 | 31 | 0 | 0 | 0 | 0 | 353 | 1626 | 8472 | 190 | 810 | 0 | 0 | 70 | 178 | 0 | 0 | | 1 | AL | 35006 | 4 | 140 | 50 | 100 | 0 | 12103 | 120 | 9142 | 50 | 12 | 0 | 0 | 20 | 193 | 1537 | 1218 | 8774 | 140 | 912 | 0 | 0 | 50 | 146 | 245 | 344 | | 1 | AL | 35006 | 5 | 200 | 0 | 180 | 0 | 26873 | 190 | 22645 | 70 | 20 | 0 | 0 | 40 | 988 | 0 | 2666 | 21665 | 200 | 2824 | 0 | 0 | 100 | 294 | 0 | 0 | | 1 | AL | 35006 | 6 | 40 | 0 | 30 | 0 | 13230 | 30 | 6998 | 30 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 11503 | 40 | 2265 | 0 | 0 | 0 | 0 | 0 | 0 | | 1 | AL | 35007 | 1 | 3540 | 2490 | 450 | 550 | 43270 | 2360 | 32271 | 450 | 220 | 30 | 0 | 200 | 158 | 1734 | 3022 | 5830 | 900 | 477 | 1040 | 2954 | 170 | 51 | 0 | 113 | | 1 | AL | 35007 | 2 | 2860 | 1580 | 570 | 600 | 105236 | 2360 | 84953 | 500 | 215 | 30 | 0 | 220 | 199 | 2421 | 7831 | 55125 | 2100 | 4518 | 620 | 1535 | 830 | 1049 | 142 | 411 | | 1 | AL | 35007 | 3 | 1920 | 810 | 680 | 340 | 118445 | 1630 | 93158 | 470 | 287 | 60 | 0 | 210 | 897 | 3477 | 8903 | 80030 | 1690 | 7563 | 50 | 34 | 700 | 1594 | 285 | 893 | | 1 | AL | 35007 | 4 | 1380 | 340 | 840 | 160 | 119685 | 1230 | 95570 | 420 | 236 | 0 | 0 | 210 | 579 | 3834 | 7940 | 87153 | 1320 | 9202 | 0 | 0 | 590 | 1681 | 466 | 1061 | | 1 | AL | 35007 | 5 | 2370 | 220 | 1980 | 130 | 319683 | 2160 | 258921 | 980 | 609 | 60 | 0 | 480 | 2495 | 9845 | 21626 | 255954 | 2350 | 32787 | 0 | 0 | 1240 | 3630 | 1824 | 4197 | | 1 | AL | 35007 | 6 | 470 | 30 | 430 | 0 | 152837 | 440 | 94333 | 290 | 654 | 40 | 0 | 190 | 13655 | 2860 | 7602 | 127887 | 470 | 25118 | 0 | 0 | 240 | 618 | 2206 | 3391 | | 1 | AL | 35010 | 1 | 2790 | 1630 | 300 | 800 | 37682 | 2180 | 30559 | 360 | 193 | 40 | 0 | 130 | 203 | 1148 | 2870 | 4895 | 640 | 347 | 1270 | 4158 | 250 | 80 | 0 | 0 | | 1 | AL | 35010 | 2 | 2270 | 1030 | 430 | 740 | 81397 | 2010 | 70175 | 300 | 396 | 0 | 0 | 130 | 244 | 1439 | 5659 | 40474 | 1510 | 2973 | 760 | 1964 | 850 | 987 | 46 | 315 | | 1 | AL | 35010 | 3 | 1160 | 440 | 440 | 230 | 70427 | 1000 | 55910 | 280 | 316 | 20 | 0 | 110 | 529 | 1239 | 5720 | 47016 | 1020 | 4261 | 20 | 15 | 430 | 933 | 118 | 346 | | 1 | AL | 35010 | 4 | 610 | 140 | 400 | 70 | 52730 | 500 | 36852 | 250 | 301 | 20 | 0 | 110 | 493 | 1763 | 6142 | 38049 | 590 | 3970 | 0 | 0 | 220 | 559 | 112 | 474 | | 1 | AL | 35010 | 5 | 860 | 100 | 740 | 20 | 116863 | 700 | 76153 | 460 | 648 | 50 | 0 | 240 | 2146 | 6834 | 13802 | 92693 | 860 | 12059 | 0 | 0 | 330 | 856 | 618 | 1674 | | 1 | AL | 35010 | 6 | 310 | 30 | 280 | 0 | 169893 | 260 | 62554 | 250 | 1986 | 60 | 0 | 190 | 26144 | 6178 | 7406 | 145608 | 310 | 34122 | 0 | 0 | 80 | 202 | 4017 | 4571 | | 1 | AL | 35014 | 1 | 480 | 290 | 60 | 130 | 6479 | 370 | 5343 | 70 | 48 | 0 | 0 | 30 | -39 | 134 | 655 | 833 | 110 | 59 | 220 | 608 | 40 | 11 | 0 | 0 | | 1 | AL | 35014 | 2 | 490 | 220 | 80 | 190 | 17814 | 440 | 15742 | 80 | 43 | 0 | 0 | 0 | 0 | 289 | 1471 | 8978 | 330 | 641 | 170 | 395 | 180 | 200 | 0 | 0 | | 1 | AL | 35014 | 3 | 250 | 100 | 80 | 60 | 15161 | 220 | 12310 | 60 | 31 | 0 | 0 | 30 | 46 | 383 | 1631 | 10211 | 220 | 951 | 0 | 0 | 80 | 150 | 79 | 310 | | 1 | AL | 35014 | 4 | 140 | 50 | 80 | 30 | 12096 | 120 | 9257 | 50 | 76 | 0 | 0 | 0 | 0 | 609 | 1151 | 8915 | 130 | 950 | 0 | 0 | 50 | 129 | 0 | 0 | | 1 | AL | 35014 | 5 | 200 | 0 | 170 | 0 | 26545 | 160 | 17445 | 120 | 105 | 0 | 0 | 50 | 488 | 1569 | 4941 | 21012 | 190 | 2756 | 0 | 0 | 80 | 194 | 142 | 476 | | 1 | AL | 35014 | 6 | 60 | 0 | 50 | 0 | 20370 | 50 | 11571 | 50 | 216 | 0 | 0 | 30 | 3069 | 1098 | 0 | 17183 | 60 | 3376 | 0 | 0 | 0 | 0 | 502 | 1049 | | 1 | AL | 35016 | 1 | 2230 | 1450 | 350 | 380 | 28839 | 1570 | 20305 | 430 | 135 | 0 | 0 | 120 | 19 | 1047 | 3477 | 4067 | 630 | 353 | 830 | 2139 | 100 | 33 | 37 | 0 | | 1 | AL | 35016 | 2 | 1870 | 930 | 550 | 330 | 68410 | 1550 | 54498 | 440 | 240 | 40 | 0 | 130 | 254 | 1506 | 6773 | 33736 | 1380 | 2806 | 470 | 1278 | 530 | 644 | 0 | 241 | | 1 | AL | 35016 | 3 | 1220 | 430 | 600 | 140 | 74995 | 1020 | 57886 | 380 | 230 | 30 | 0 | 120 | 316 | 1620 | 8858 | 49366 | 1080 | 4616 | 40 | 26 | 450 | 1046 | 66 | 226 | | 1 | AL | 35016 | 4 | 790 | 170 | 560 | 50 | 68851 | 660 | 50686 | 300 | 309 | 20 | 0 | 130 | 608 | 2077 | 9541 | 49932 | 760 | 5261 | 0 | 0 | 320 | 905 | 98 | 282 | | 1 | AL | 35016 | 5 | 1210 | 130 | 1050 | 40 | 161710 | 1060 | 122816 | 650 | 640 | 60 | 0 | 290 | 3243 | 4273 | 17158 | 129129 | 1200 | 16509 | 0 | 0 | 570 | 1682 | 740 | 1960 | | 1 | AL | 35016 | 6 | 270 | 0 | 250 | 0 | 84322 | 240 | 50334 | 190 | 380 | 0 | 0 | 110 | 4382 | 2845 | 6936 | 73230 | 270 | 15104 | 0 | 0 | 90 | 285 | 1298 | 2378 | | 1 | AL | 35019 | 1 | 300 | 180 | 70 | 40 | 3611 | 190 | 2284 | 40 | 13 | 0 | 0 | 30 | 8 | 168 | 243 | 418 | 70 | 35 | 120 | 320 | 0 | 0 | 0 | 0 | | 1 | AL | 35019 | 2 | 310 | 160 | 80 | 70 | 11481 | 270 | 9969 | 40 | 24 | 0 | 0 | 0 | 0 | 314 | 742 | 5664 | 230 | 482 | 90 | 214 | 100 | 115 | 0 | 287 | Showing 50 of 166,131 rows ## What you can do - Analyzing income distribution by ZIP code and AGI bracket - Comparing wage income vs investment income across regions - Identifying high-income and low-income ZIP codes - Studying EITC and child tax credit utilization patterns - Analyzing charitable giving patterns by income level - Joining with Census or geographic data for income-demographic analysis ## Data dictionary | Column | Type | Description | | - | - | - | | state\_fips | text | 2-digit state FIPS code | | state | text | 2-letter state abbreviation | | zip\_code | text | 5-digit ZIP code (00000 = state total) | | agi\_bracket | integer | AGI bracket: 1=$1-25K, 2=$25-50K, 3=$50-75K, 4=$75-100K, 5=$100-200K, 6=$200K+, 0=Total | | num\_returns | decimal | Number of tax returns filed | | num\_single | decimal | Number of single filer returns | | num\_joint | decimal | Number of joint filer returns | | num\_head\_household | decimal | Number of head of household returns | | total\_agi | decimal | Total adjusted gross income (thousands of dollars) | | num\_with\_wages | decimal | Number of returns with wage/salary income | | total\_wages | decimal | Total wages and salaries (thousands of dollars) | | num\_with\_interest | decimal | Number of returns with taxable interest income | | total\_interest\_income | decimal | Total taxable interest income (thousands of dollars) | | num\_with\_dividends | decimal | Number of returns with ordinary dividend income | | total\_ordinary\_dividends | decimal | Total ordinary dividends (thousands of dollars) | | num\_with\_capital\_gains | decimal | Number of returns with net capital gains/losses | | total\_capital\_gains | decimal | Total net capital gains (thousands of dollars) | | total\_ira\_distributions | decimal | Total IRA distributions (thousands of dollars) | | total\_pensions | decimal | Total pensions and annuities (thousands of dollars) | | total\_taxable\_income | decimal | Total taxable income (thousands of dollars) | | num\_with\_income\_tax | decimal | Number of returns with total income tax | | total\_income\_tax | decimal | Total income tax (thousands of dollars) | | num\_with\_eitc | decimal | Number of returns with Earned Income Tax Credit | | total\_eitc | decimal | Total EITC amount (thousands of dollars) | | num\_with\_child\_credit | decimal | Number of returns with child tax credit | | total\_child\_tax\_credit | decimal | Total child tax credit amount (thousands of dollars) | | total\_salt\_deductions | decimal | Total state and local tax deductions (thousands of dollars) | | total\_charitable | decimal | Total charitable contributions (thousands of dollars) | ## Explore more datasets Discover other public datasets and live API connections you can chat with. - [![Yahoo Finance](https://betteranalyst.com/images/logos/yahoo-finance.png)Live API](https://betteranalyst.com/datasets/stock-market-yfinance) ### [Stock Market Data (Yahoo 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[![Medicaid Provider Spending](https://betteranalyst.com/images/logos/cms.png)Database](https://betteranalyst.com/datasets/medicaid-provider-spending-data) ### [Medicaid Provider Spending](https://betteranalyst.com/datasets/medicaid-provider-spending-data) [Explore 26.8M+ Medicaid provider spending records from CMS — analyze claims, procedures, and payments by provider, state, ZIP code, and monthly trends from 2018–2024.](https://betteranalyst.com/datasets/medicaid-provider-spending-data) [CMS (Centers for Medicare & Medicaid Services)](https://betteranalyst.com/datasets/medicaid-provider-spending-data) - [![U.S. Food and Drug Administration](https://betteranalyst.com/images/logos/fda.png)Live API](https://betteranalyst.com/datasets/openfda-drug-safety-data) ### [OpenFDA](https://betteranalyst.com/datasets/openfda-drug-safety-data) [FDA public data on drug adverse events, recalls, medical devices, food enforcement, and product labeling.](https://betteranalyst.com/datasets/openfda-drug-safety-data) [U.S. Food and Drug Administration](https://betteranalyst.com/datasets/openfda-drug-safety-data) - [![USDA Agricultural Research Service](https://betteranalyst.com/images/logos/usda.png)Live API](https://betteranalyst.com/datasets/usda-food-nutrition-data) ### [USDA FoodData Central](https://betteranalyst.com/datasets/usda-food-nutrition-data) [Nutrient profiles for 300,000+ foods including branded products, foundation foods, and survey data from the USDA.](https://betteranalyst.com/datasets/usda-food-nutrition-data) [USDA Agricultural Research Service](https://betteranalyst.com/datasets/usda-food-nutrition-data) - [![HUD User](https://betteranalyst.com/images/logos/hud.png)Live API](https://betteranalyst.com/datasets/hud-housing-urban-development-data) ### [HUD User Housing Data](https://betteranalyst.com/datasets/hud-housing-urban-development-data) [Fair Market Rents, income limits, USPS vacancy data, and geographic crosswalks from the U.S. Department of Housing and Urban Development.](https://betteranalyst.com/datasets/hud-housing-urban-development-data) [HUD User](https://betteranalyst.com/datasets/hud-housing-urban-development-data) - [![TrustMRR](https://betteranalyst.com/images/logos/trustmrr.png)Live API](https://betteranalyst.com/datasets/trustmrr-startups) ### [TrustMRR](https://betteranalyst.com/datasets/trustmrr-startups) [Verified startup revenue, MRR, growth rates, and acquisition data for hundreds startups backed by real payment provider integrations.](https://betteranalyst.com/datasets/trustmrr-startups) [TrustMRR](https://betteranalyst.com/datasets/trustmrr-startups) - [![NASA](https://betteranalyst.com/images/logos/nasa.png)Live API](https://betteranalyst.com/datasets/nasa-space-science-data) ### [NASA APIs](https://betteranalyst.com/datasets/nasa-space-science-data) [Access NASA space and Earth science data including astronomy images, asteroid tracking, Mars rover photos, and space weather.](https://betteranalyst.com/datasets/nasa-space-science-data) [NASA](https://betteranalyst.com/datasets/nasa-space-science-data) - [![MLB Advanced Media](https://betteranalyst.com/images/logos/mlb.png)Live API](https://betteranalyst.com/datasets/mlb-statcast) ### [MLB Statcast (Baseball Savant)](https://betteranalyst.com/datasets/mlb-statcast) [Comprehensive MLB batting and pitching data — exit velocity, launch angle, pitch velocity, spin rate, expected stats, and advanced analytics for every play since 2015 via Baseball Savant.](https://betteranalyst.com/datasets/mlb-statcast) [MLB Advanced Media](https://betteranalyst.com/datasets/mlb-statcast) - [![NAICS Industry Classification Codes (2022)](https://betteranalyst.com/images/logos/census.png)File](https://betteranalyst.com/datasets/naics-industry-classification-codes) ### [NAICS Industry Classification Codes (2022)](https://betteranalyst.com/datasets/naics-industry-classification-codes) [Complete 2022 NAICS code hierarchy with all 2,122 industry classifications across 5 levels.](https://betteranalyst.com/datasets/naics-industry-classification-codes) [U.S. Census Bureau](https://betteranalyst.com/datasets/naics-industry-classification-codes) - [![US ZIP Code Geographic Reference](https://betteranalyst.com/images/logos/census.png)File](https://betteranalyst.com/datasets/us-zip-code-reference-data) ### [US ZIP Code Geographic Reference](https://betteranalyst.com/datasets/us-zip-code-reference-data) [Geographic reference for 33,791 ZIP codes with state, county, coordinates, and land area.](https://betteranalyst.com/datasets/us-zip-code-reference-data) [U.S. Census Bureau](https://betteranalyst.com/datasets/us-zip-code-reference-data) - [![KenPom College Basketball Rating - March Madness](https://betteranalyst.com/images/logos/kenpom.png)File](https://betteranalyst.com/datasets/kenpom-march-madness) ### [KenPom College Basketball Rating - March Madness](https://betteranalyst.com/datasets/kenpom-march-madness) [KenPom efficiency ratings, tempo, and NCAA Tournament seeds for every D-I team from 2000 to 2026.](https://betteranalyst.com/datasets/kenpom-march-madness) [KenPom.com](https://betteranalyst.com/datasets/kenpom-march-madness)