warehousing
2024
24,937
119,924,722,855
Rank↕ | Subreddit↕ | Occurrences in Subreddit | Total Words in Subreddit | Rate in Subreddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|
| #1 | r/Warehousing | 99 | 63,753 | 1552.9 | 7467.91 |
| #2 | r/u_CommissionOk8331 | 124 | 121,229 | 1022.9 | 4919.03 |
| #3 | r/codingcertifications | 38 | 37,950 | 1001.3 | 4815.44 |
| #4 | r/u_ITLogisticsNews123 | 66 | 68,793 | 959.4 | 4613.86 |
| #5 | r/u_softwaretraining1234 | 60 | 67,459 | 889.4 | 4277.36 |
| #6 | r/dataengineersindia | 36 | 123,307 | 292.0 | 1404.04 |
| #7 | r/valzubiriagenda | 52 | 185,386 | 280.5 | 1348.93 |
| #8 | r/logistics | 281 | 1,010,370 | 278.1 | 1337.49 |
| #9 | r/Warehouseworkers | 50 | 203,185 | 246.1 | 1183.43 |
| #10 | r/freightforwarding | 48 | 205,220 | 233.9 | 1124.83 |
| #11 | r/SupplyChainLogistics | 30 | 138,610 | 216.4 | 1040.86 |
| #12 | r/supplychain | 277 | 1,985,391 | 139.5 | 670.96 |
| #13 | r/snowflake | 72 | 687,157 | 104.8 | 503.90 |
| #14 | r/Oceanlinerporn | 104 | 1,051,282 | 98.9 | 475.75 |
| #15 | r/dataengineering | 655 | 8,490,119 | 77.1 | 371.02 |
| #16 | r/sports_jobs | 122 | 1,608,128 | 75.9 | 364.84 |
| #17 | r/BusinessIntelligence | 91 | 1,301,676 | 69.9 | 336.20 |
| #18 | r/MicrosoftFabric | 57 | 1,162,829 | 49.0 | 235.73 |
| #19 | r/PetRescueExposed | 39 | 886,114 | 44.0 | 211.66 |
| #20 | r/Nim2908 | 149 | 4,344,118 | 34.3 | 164.95 |
| #21 | r/publishing | 34 | 1,280,099 | 26.6 | 127.73 |
| #22 | r/SafetyProfessionals | 63 | 2,490,638 | 25.3 | 121.65 |
| #23 | r/FulfillmentByAmazon | 49 | 2,050,216 | 23.9 | 114.94 |
| #24 | r/udemyfreebies | 56 | 2,365,076 | 23.7 | 113.87 |
| #25 | r/GATEtard | 42 | 1,853,675 | 22.7 | 108.96 |
| #26 | r/FreightBrokers | 59 | 2,895,186 | 20.4 | 98.00 |
| #27 | r/SQL | 69 | 3,430,605 | 20.1 | 96.73 |
| #28 | r/analytics | 44 | 2,239,654 | 19.6 | 94.48 |
| #29 | r/dropshipping | 80 | 4,614,295 | 17.3 | 83.38 |
| #30 | r/ecommerce | 89 | 5,643,922 | 15.8 | 75.84 |
| #31 | r/BanPitBulls | 320 | 23,460,398 | 13.6 | 65.60 |
| #32 | r/PowerBI | 81 | 6,378,859 | 12.7 | 61.07 |
| #33 | r/InlandEmpire | 50 | 4,037,695 | 12.4 | 59.55 |
| #34 | r/HEB | 63 | 5,304,208 | 11.9 | 57.12 |
| #35 | r/MVIS | 38 | 3,246,060 | 11.7 | 56.30 |
| #36 | r/LogitechG | 36 | 3,620,070 | 9.9 | 47.82 |
| #37 | r/RedditJobBoard | 39 | 4,825,988 | 8.1 | 38.86 |
| #38 | r/UKJobs | 227 | 29,612,086 | 7.7 | 36.87 |
| #39 | r/NYCapartments | 51 | 6,703,135 | 7.6 | 36.59 |
| #40 | r/datascience | 48 | 6,586,537 | 7.3 | 35.05 |
| #41 | r/business | 39 | 7,509,927 | 5.2 | 24.97 |
| #42 | r/Felons | 33 | 6,376,269 | 5.2 | 24.89 |
| #43 | r/AusFinance | 176 | 40,550,392 | 4.3 | 20.87 |
| #44 | r/careerguidance | 252 | 62,591,056 | 4.0 | 19.36 |
| #45 | r/Adelaide | 46 | 12,269,865 | 3.7 | 18.03 |
| #46 | r/perth | 95 | 25,407,274 | 3.7 | 17.98 |
| #47 | r/brisbane | 76 | 20,417,053 | 3.7 | 17.90 |
| #48 | r/jobs | 213 | 57,323,727 | 3.7 | 17.87 |
| #49 | r/auscorp | 47 | 13,036,040 | 3.6 | 17.34 |
| #50 | r/Reno | 32 | 8,960,152 | 3.6 | 17.18 |