Reconstructie » Johanna Maria Ju

Johanna Maria Ju

13 observaties · mediaan 82 · geboren 1830-05-26 · overleden ?

URI: https://www.goudatijdmachine.nl/id/reconstructie-60ff80f1-bb4a-43d5-88d3-fbc299f475b7

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
Johanna Ju 1830-05-26 oa:bevolkingsregister 1850 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1860 82 56
Johanna Ju 1830-05-26 oa:bevolkingsregister 1850 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1880 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1850 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1860 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1860 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1860 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1860 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1880 82 56
Johanna Maria Ju 1830-05-26 oa:bevolkingsregister 1860 82 56
Johanna Ju 29 oa:burgerlijkestand 1859 62 56
Johanna Ju 29 oa:burgerlijkestand 1859 62 56

Bewijs = paren binnen de reconstructie

paarscorefeatures
1000402137 ↔ 1000480380 127 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6, spouse_given_overlap: +20, father_given_match: +15, mother_given_match: +15, second_order_relation: +15
1000302928 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000463640 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000463640 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000403095 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000463640 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000463640 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000496023 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000434526 ↔ 1000458229 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000434526 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000463640 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000458229 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000434526 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000511907 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000464937 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000321595 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000333252 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000434526 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000458229 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000403095 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000463640 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000464937 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000463640 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000496023 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000458229 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000434526 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000458229 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000458229 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000333252 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000458229 ↔ 1000463640 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000458229 ↔ 1000496023 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000458229 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000434526 ↔ 1000463640 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000434526 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000464937 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000333252 ↔ 1000463640 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000403095 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000321595 ↔ 1000541703 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000302928 ↔ 1000434526 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000434526 ↔ 1000511907 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000403095 ↔ 1000458229 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000434526 ↔ 1000464937 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000402137 ↔ 1000464937 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000496023 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000511907 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000321595 ↔ 1000402137 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000403095 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000403095 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000458229 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000458229 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000541703 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000321595 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000333252 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000434526 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000302928 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000463640 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000463640 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000464937 ↔ 1000480380 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000480380 ↔ 1000496023 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000402137 ↔ 1000434526 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000480380 ↔ 1000541703 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000333252 ↔ 1000402137 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000302928 ↔ 1000402137 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
1000480380 ↔ 1000511907 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6

Relaties

relatiemetsupport
kind van Barbara Dionet 2
partner Wilhelmus Hendrikus Knieriem 2
kind van Hendrik Ju 2

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