All names which occurred at least five times in the sample are included in the table below. The total number of males in the sample is 916,592 and the total number of females is 875,550. Criteria to be included in the sample is simply that a Social Security card application was filed, that the year of birth was between 1990 and 1999, and that the birth was on US soil. As always each unique spelling is considered a unique name. It may be appropriate for purposes of ranking popularity of names to combine similar spellings of the same name. This kind of grouping, however, is subjective and time consuming, and is beyond the scope of this document. The 2000 edition of the World Almanac lists the top 10 names of each decade based on this data after combining different spellings of the same name.

No effort has been made to edit the data and as a result some coding errors are obvious. For example initials like “A” are included in the lists. Another common problem, especially for the earlier decades is females coded as being male. For example Ashley is the ranked 927 among male names. Although Ashley used to be a male name I suspect gender coding is to blame in the 1990′s. Finally entries like “Unknown” and “Baby” are not removed from the lists.

*This lists was compiled by the Social Security Administration.

All names which occurred at least five times in the sample are included in the table below. The total number of males in the sample is 977,255 and the total number of females is 936,349. Criteria to be included in the sample is simply that a Social Security card application was filed, that the year of birth was between 1980 and 1989, and that the birth was on US soil. As always each unique spelling is considered a unique name. It may be appropriate for purposes of ranking popularity of names to combine similar spellings of the same name. This kind of grouping, however, is subjective and time consuming, and is beyond the scope of this document. The 2000 edition of the World Almanac lists the top 10 names of each decade based on this data after combining different spellings of the same name.

No effort has been made to edit the data and as a result some coding errors are obvious. For example initials like “A” are included in the lists. Another common problem, especially for the earlier decades is females coded as being male. For example Jessica is the ranked 647 among male names. Finally entries like “Unknown” and “Baby” are not removed from the lists.