Baby names starting with W
The girl and boy names starting with W given most often in the US in 2025.
Updated October 14, 2026 · sources checked October 14, 2026
In short
Among baby names starting with W, the most given in the US in 2025 were Willow, Wrenley, William, Wyatt. The two lists below rank up to 40 girl names and 40 boy names by the number of babies, from Social Security data; use the search box for any other name.
Ranked by the number of babies in 2025.
Girls
- Willow 4,763
- Wrenley 1,858
- Wren 1,331
- Wrenlee 851
- Willa 742
- Winter 732
- Wynter 676
- Winnie 646
- Winona 466
- Whitley 420
- Wrenleigh 414
- Winifred 284
- Waverly 244
- Whitney 238
- Winslow 199
- Wrenly 189
- Wendy 165
- Wyatt 145
- Wilhelmina 141
- Winry 140
- Wynn 120
- Wateen 112
- Winsley 110
- Wesley 101
- Walker 99
- Weslie 78
- Weslynn 76
- Westlynn 74
- Winnifred 70
- Wylie 65
- Wynonna 63
- Winslie 61
- Wisdom 61
- Wynona 61
- Wrynlee 59
- Wrenna 52
- Whitlee 49
- Wynnie 45
- Wilder 43
- Wilma 41
Boys
- William 10,545
- Wyatt 6,480
- Wesley 5,578
- Weston 5,482
- Waylon 5,408
- Walker 4,204
- Warren 1,471
- Walter 1,381
- Wade 948
- Wells 944
- Winston 830
- Wilder 743
- Westley 453
- Wayne 422
- Wylder 407
- Wilson 405
- Westin 396
- Wes 376
- Westyn 371
- Waylen 289
- Wesson 257
- Wallace 241
- Watson 224
- Wren 198
- Wylie 175
- Will 170
- Wiley 165
- Westen 162
- Wisdom 160
- West 159
- Willie 147
- Warner 137
- Woods 121
- Wolfgang 115
- Woodrow 102
- Wynn 95
- Wilmer 94
- Whitley 88
- Wolf 83
- Whit 79
About these numbers. Babies born in the United States who received a Social Security number, by year of birth (1980-2025). To protect privacy, the SSA only publishes a name in a given year if at least 5 babies of the same sex received it.
Source: U.S. Social Security Administration — Baby Names from Social Security Card Applications — National Data. Licence: Public domain (work of the U.S. federal government, 17 U.S.C. § 105). Data checked on 2026-10-14. Mamavela only counts and charts these official figures; nothing is estimated.