Name Trends by regions for Northeast
The trend value of the name is expressed as a score ranging from -5 to 5. A score of 0 indicates a neutral trend,
positive values show the degree of an increasing trend (the higher the value, the steeper the rise), and negative
values represent a decreasing trend (the lower the value, the steeper the decline). The number in parentheses
represents the slope, indicating the steepness of the trend
Name |
Sex |
25Y |
10Y |
5Y |
3Y |
Vittorio |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Viva |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivaan |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivan |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivek |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivi |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivia |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivian |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Viviana |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Viviane |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivianna |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivianne |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivica |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vivien |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Viyan |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vlad |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vladimir |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vladislav |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vlasta |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Volf |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Volvi |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Volvy |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Von |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Von |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vonda |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vonetta |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vonnie |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Voshon |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vraj |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Vyom |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wade |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wadeeah |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wael |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wafa |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wahab |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wai |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wai |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waino |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wajiha |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walda |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waldemar |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walden |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waldo |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waleed |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waleska |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wali |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walid |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walida |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walker |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wallis |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wally |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wally |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walt |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walter |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walter |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Walton |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wanda |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wanda |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waneta |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wanetta |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wania |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wanita |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waniya |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wannetta |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wanya |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waqas |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Ward |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wardell |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waris |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Warner |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Warren |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wasco |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waseem |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Washington |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wasil |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wassil |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wateen |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Watson |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wava |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wave |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waverly |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waverly |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wayde |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waylan |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wayman |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wayne |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wayne |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Waziha |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Weaver |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Webster |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wednesday |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wei |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wei |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Welby |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Weldon |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Welles |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wellington |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wen |
male |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wen |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |
Wenda |
female |
0(0.00) |
0(0.00) |
0(0.00) |
0(0.00) |