Reconstructie » Alexandrina Johanna Jacoba Hester

Alexandrina Johanna Jacoba Hester

13 observaties · mediaan 84 · geboren 1902-11-18 · overleden ?

URI: https://www.goudatijdmachine.nl/id/reconstructie-592b9584-0f65-4cc6-8958-28b4a3f2fd76

Deze persoonsreconstructie is machinaal samengesteld; zie de documentatie en is kok beschikbaar als RDF (Accept: text/turtle).

Leden Bewijs Relaties


Leden = persoonsvermeldingen

naamgebovllftberoep bronjaarzekerheidmin edge
Alexandrina Joha Jaca Hester 1902-11-18 oa:bevolkingsregister 1813 84 62
Alexandrina Johanna Jacoba Hester 1902-11-18 oa:bevolkingsregister 1813 84 62
Alexandrina Johanna Hester 1902-11-18 oa:bevolkingsregister 1813 84 62
Alexandrina Johanna Jacoba Hester 1902-11-18 oa:bevolkingsregister 1813 84 62
Alexandrina Joha Jaca Hester 1902-11-18 oa:bevolkingsregister 84 62
Alexandrina Joha Jaca Hester 1902-11-18 oa:bevolkingsregister 1813 84 62
Alexandrina Johanna Jacoba Hester 1902-11-18 oa:bevolkingsregister 84 62
Alexandrina Johanna Jacoba Hester 1902-11-18 oa:bevolkingsregister 84 62
Alexandrina Johanna Jacoba Hester 1902-11-18 oa:bevolkingsregister 1813 84 62
Alexandrina Johanna Jacoba Hester 1902-11-18 samh 1902 83 81
Alexandrina Johanna Jacoba Hester 1902-11-18 samh 1900 79 56
Alexandrina Johanna Jacoba Hester 22 oa:burgerlijkestand 1903 64 56
Alexandrina Johanna Jacoba Hester 1902-11-18 samh 1880 56 56

Bewijs = paren binnen de reconstructie

paarscorefeatures
2533379 ↔ 1000089563 101 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, father_given_match: +15, mother_given_match: +15, second_order_relation: +15
1000100645 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000188817 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000100645 ↔ 1000187380 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000187380 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000100645 ↔ 1000138752 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000187380 ↔ 1000188817 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000100645 ↔ 1000188817 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000188817 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000094828 ↔ 1000100645 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000189088 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000187380 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000138752 ↔ 1000187380 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000094828 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000138752 ↔ 1000188817 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000188817 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000187380 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000188817 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000093307 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000138752 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000138752 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000100645 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000100645 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000094828 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000094828 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000100645 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000187380 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000138752 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000093307 ↔ 1000094828 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000077224 ↔ 1000190362 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000138752 ↔ 1000189088 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000094828 ↔ 1000187380 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000094828 ↔ 1000138752 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000094828 ↔ 1000188817 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
2386072 ↔ 1000077224 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000187380 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000188817 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000138752 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000190362 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000094828 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000100645 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000077224 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 2533379 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000187380 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000094828 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000190362 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000100645 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000138752 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000189088 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000093307 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2533379 ↔ 1000188817 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000189088 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2386072 ↔ 1000093307 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000089563 ↔ 1000093307 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000077224 ↔ 1000089563 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000188817 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000138752 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000187380 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000100645 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000189088 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000094828 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000089563 ↔ 1000190362 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2236287 ↔ 1000089563 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
2386072 ↔ 1000089563 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6

Relaties

relatiemetsupport
kind van Alexander Johannes Hester 2
kind van Johanna Wilhelmina van der Steen 2
partner Hendrikus den Boestert 1

De Gouda Tijdmachine is een initiatief van Historische Vereniging Die Goude en Streekarchief Midden-Holland.