Is there a way to edit a gender indexed incorrectly in a Census record?
I need to change the gender of a person from male to female so I can link it to the correct person. I can see how to edit the name, year, place, but not the gender. The problem is in the US 1930 Census for Vermont, Chittenden, Winooski, Ed 45, image 31 of 55. The person is Madeline Provost. She is listed as a step-daughter, but was indexed as male.
"United States Census, 1930," database with images, FamilySearch (https://www.familysearch.org/ark:/61903/1:1:XMZW-HSM : accessed 31 May 2022), Madeline Provost in household of Joseph S Bouffard, Winooski, Chittenden, Vermont, United States; citing enumeration district (ED) ED 45, sheet 15B, line 82, family 309, NARA microfilm publication T626 (Washington D.C.: National Archives and Records Administration, 2002), roll 2428; FHL microfilm 2,342,162.
Best Answer
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I would not worry about this. When attaching the source to the individual concerned, just add a note saying, "Indexed with wrong sex". I have encountered this problem in the past, but other than "looking wrong" it will not affect anything when added to Family Tree.
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Answers
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As Paul said, errors in the index entry do not affect its attachability to the correct person. You may need to do an extra step or two in Source Linker to convince it to link things up the way you want, but it's actually a very flexible and capable feature (as long as you're using the website, not the mobile app). The key to this flexibility is the ability to change the focus person on both the record (left-hand) and Tree (right-hand) sides. The Tree side focus person can be selected using the profile's ID, meaning that it's possible to attach a record to the correct person even if the index got everything wrong (such as when a census index groups people into families incorrectly).
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I find the mobile app copes well enough with these issues.
If the inconsistency is likely to confuse others, simply add a Note to the profile explaining how you resolve the inconsistency. Common explanations include preponderance of historical records, gendered given name, personal knowledge.
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