ZIMBABWE ELECTION SUPPORT NETWORK Table 49: Forenames Mismatch Name Spelling Matching both surnames and forenames from the voters' roll with registrants data collected from the field revealed that the total spelling error rate was 4.9%, minor mismatches 4.3% and major mismatches 0.6%. Total mismatches Minor mismatches Major mismatches 3.3% 3% 0.3% Example of minor mismatches: Forenames minor mismatch q13.1 Wellington Magret Loveness Emry Chipo Foncinia Anymore Joe Winnet Maudi Tracey Philip Names Mismatch (Both Surname and Forename) Surname and Forename Mismatch Total mismatches Minor mismatches Major mismatches 4.9% 4.3% 0.6% Surname mismatch A comparison surnames using list-to-people, reveals total mismatches of 1.8%, minor mismatches of 1.4% and major mismatches of 0.3%, as indicated in the Table below. It might be possible that the minor errors are because of human error. The 2 cases highlighted below show different surnames, but the forenames, ID and date of birth are the same. Whilst minor mismatch might be immaterial but a major mismatch could prevent registrants with such cases from casting their vote. ZEC should determine what constitutes an immaterial and material mismatch that will prevent a voter from casting a vote. Accuracy: Date of Birth In the voters' roll the format for date of birth is recorded as follows month/ day/ year. Comparison of date of birth details collected by enumerators and those from the voters' roll, show 7% total mismatches. 2.6% are level 1 mismatches (mixed day and month), 3.1% are level 2 mismatches (one element mismatch day, month and year), and 1.3% are level 3 mismatches (2 elements or more mismatched). See table below: Date of Birth Mismatch Total Level 1 mismatch Level 2 mismatch Level 3 mismatches (Mixed day and (one element mismatch (2 month) mismatch either elements or day, month or year) more mismatch) Surname mismatch Total mismatches Minor mismatches Major mismatches 1.8% 1.4% 0.3 7.0% Minor matches are minor spelling differences e.g. SANGANI Sanganai KASANAYI Kasanhayi 2.6% 3.1% 1.3% Level 3 mismatches are of concern because there is little possibility of our enumerators making an error on more than 1 date element. 10 Examples of date of birth mismatch 2 cases have different surnames but same forenames. MAPONDERA Makova Gertrude GERTUDE CHIPARAUSHE Samabonde Akimu AKIMU 11 FORENAMES MISMATCH Analysis of the forename reveals that all mismatches are 3.3%, minor mismatches whilst 0.3% constitutes major mismatches, were the forename of the registrant is different from what is given in the voters' roll, but yet date of birth, ID and address are the same. Examples of minor mismatches from the list-to-people test are as shown in Table below and these in most cases show differences of a letter in capturing data. 10 Forenames WELLINGTON W MARGARET LOVENESS EMERY CHIPO FONCINA AMYMORE JOE Winnie MAUD TRACY PHILLIP E.g. level 3 mismatches Typical Level 2 mismatches Date of q15 05-02-99 21-05-99 11-08-84 27-06-16 16-03-97 03-10-97 10-01-71 05-12-71 28-12-91 02-02-77 03-05-82 25-09-02 10-02-90 01-03-13 17-07-67 28-04-67 Date of q15 08-03-99 07-03-99 14-05-76 14-10-76 14-06-53 14-08-53 09-11-84 11-11-84 14-04-76 04-04-76 16-03-58 16-03-56 12-03-87 12-03-83 11-12-82 12-12-81 Typical Level 1 mismatches Date of q15 11-01-78 01-11-78 03-07-83 07-03-83 12-07-86 07-12-86 02-10-85 10-02-85 11-12-68 12-11-68 10-06-80 06-10-80 06-02-81 02-06-81 05-01-00 01-05-00 Data from the voters' roll is in capital letters Data from the ZEC is in capital letters 11 60 FINAL REPORT OF THE 2018 VOTERS' ROLL AUDIT