| RR & KJ | Pick# | Year | Denom | Letter | Total | 70 | 69 | 68 | 67 | 66 | 65 | 64 | 63 | 62 | 61 | 60 | 58 | 55 | 53 | 50 | 45 | 40 | 35 | 30 | 25 | 20 | 15 | 12 | 10 | 8 | 6 | 4 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Unlisted | Unlisted | 2019 | 10 Rupees | L | 25 | 0 | 0 | 0 | 0 | 3 | 5 | 7 | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2019 | 10 Rupees | R | 27 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2019 | 10 Rupees | S | 21 | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 3 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2020 | 10 Rupees | R | 25 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | 6 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2021 | 10 Rupees | - | 9 | 0 | 0 | 0 | 0 | 1 | 5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2021 | 10 Rupees | E | 9 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2021 | 10 Rupees | R | 14 | 0 | 0 | 0 | 0 | 5 | 4 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2022 | 10 Rupees | - | 13 | 0 | 0 | 0 | 0 | 3 | 7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2022 | 10 Rupees | E | 20 | 0 | 0 | 0 | 0 | 5 | 6 | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2022 | 10 Rupees | R | 16 | 0 | 0 | 0 | 0 | 7 | 3 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2023 | 10 Rupees | - | 25 | 0 | 0 | 0 | 0 | 7 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2023 | 10 Rupees | E | 21 | 0 | 0 | 0 | 0 | 3 | 10 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2023 | 10 Rupees | S | 21 | 0 | 0 | 0 | 0 | 4 | 6 | 7 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2024 | 10 Rupees | - | 20 | 0 | 0 | 0 | 0 | 5 | 3 | 7 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2024 | 10 Rupees | E | 27 | 0 | 0 | 0 | 1 | 1 | 8 | 9 | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2024 | 10 Rupees | R | 22 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | Unlisted | 2024 | 10 Rupees | S | 22 | 0 | 0 | 0 | 0 | 10 | 5 | 3 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6.4.13.1H,6.4.13.1K & 6.4.13.1M | 95h,95k & 95m | 2007 & 2008 | 10 Rupees | S,M & R | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | 109g,Unlisted & Unlisted | 2018,2019 & 2024 | 10 Rupees | PL,E,L & R | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Unlisted | 109 | 2025 | 10 Rupees | PL,E & L | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
The PMCS Population Report is a comprehensive database that provides valuable insights into the rarity and distribution of graded banknotes. This powerful tool offers collectors, investors, and enthusiasts a detailed overview of the quantity and quality of notes that have been certified by PMCS.
A population report, in the context of numismatics, is a statistical compilation that shows how many of a particular type of item (in this case, banknotes) have been graded by a certification service. It breaks down the data by denomination, series, grade, and other relevant factors.