1. Charlotte 1854
2. Ruby 1807
3. Lily/Lilly 1768
4. Olivia 1676
5. Chloe 1642
6. Sophie 1611
7. Emily 1600
8. Mia 1564
9. Amelia 1555
10. Ava 1497
11. Isabella 1441
12. Sophia/Sofia1428
13. Ella 1408
14. Grace 1320
15. Sienna 1249
16. Maddison/Madison 1144
17. Zoe 1064
18. Matilda 938
19. Emma 870
20. Isla 865
21. Hannah 864
22. Isabelle/Isabel 820
23. Lucy 778
24. Scarlett 747
25. Ivy 688
26. Evie 669
27. Mila/Milla 668
28. Eva 655
29. Jessica 616
30. Abigail 610
31. Zara 608
32. Layla 599
33. Jasmine 591
34. Georgia 587
35. Harper 556
36. Summer 551
37. Sarah 539
38. Chelsea 532
39. Alexis 522
40. Willow 477
41. Stella 477
42. Savannah 471
43. Alice 467
44. Mackenzie 449
45. Imogen 448
46. Elizabeth 437
47. Holly 435
48. Annabelle 427
49. Hayley 412
50. Bella 411
51. Audrey 407
52. Charlie/Charli/Charlee 404
53. Maya 379
54. Paige 372
55. Addison 365
56. Molly 341
57. Poppy 341
58. Phoebe 313
59. Evelyn 312
60. Violet 311
61. Claire 306
62. Alyssa 305
63. Rose 299
64. Indiana/ Indianna 285
65. Piper 279
66. Madeleine 278
67. Ellie 274
68. Amy 260
69. Jade 252
70. Mikayla/ Makayla 249
71. Eliza 240
72. Lara 236
73. Eden 233
74. Anna 232
75. Lola 232
76. Heidi 226
77. Tahlia 225
78. Alexandra 222
79. Leah 206
80. Kayla 195
81. Victoria 191
82. Eve 183
83. Aria 175
84. Amber 175
85. Caitlin 169
86. Eloise 164
87. Aaliyah 158
88. Gabriella 152
89. Samantha 135
90. Olive 133
91. Amelie 125
92. Skye 108
93. Josephine 77
94. Mariam 76
95. Angelina 76
96. Elise 76
97. Ebony 76
98. Lacey 75
99. Lauren 74
100.Lillian 69
Source: Data from McCrindle Research
Waltzing More Than Matilda 
I noticed that compared to the other source you got Australian data from, here the traditional pattern of more boys than girls having a top name persists (and that’s on top of combining spellings, which would typically raise the numbers more on the girl’s side since unusual spellings are usually more common on that gender).
It’s weird that when you compare the data, somehow there are 600 more Jacks, but only about 60 more Charlottes between the two sets. Can’t help feeling that someone has fudged their data!