Reconstructie » Johanna Margaretha de Bruijn

Johanna Margaretha de Bruijn

15 observaties · mediaan 55 · geboren 1829-08-02 · overleden 1919-03-21 · beroep zonder, geen

URI: https://www.goudatijdmachine.nl/id/reconstructie-8960030c-edd5-4a46-8db8-3169532f7c09

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 de Bruijn 1919-03-21 81 samh 1919 71 40
Johanna de Bruijn 23 samh 1861 68 40
Johanna de Bruijn samh 1884 65 50
Johanna de Bruijn samh 1862 65 50
Johanna de Bruijn samh 1887 63 50
Johanna Margaretha de Bruin 82 Zonder volkstelling1840 1840 62 62
Johanna de Bruijn 1829-08-02 oa:bevolkingsregister 56 56
Johanna Margaretha de Bruijn Geen samh 1850 55 50
Johanna de Bruijn Geen samh 1850 55 50
Johanna de Bruijn Zonder volkstelling1840 1840 54 50
Johanna de Bruijn 15 Zonder volkstelling1840 1840 53 40
Johanna de Bruijn 16 Zonder volkstelling1840 1840 53 40
Johanna de Bruijn 14 Zonder volkstelling1840 1840 53 40
Johanna de Bruijn 11 Zonder volkstelling1840 1840 52 40
Johanna de Bruijn 3 Zonder volkstelling1840 1840 52 47

Bewijs = paren binnen de reconstructie

paarscorefeatures
1991877 ↔ 1991877 126 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, death_day_exact: +20, spouse_given_overlap: +20, father_given_match: +15, mother_given_match: +15
1986942 ↔ 1991877 121 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, spouse_given_overlap: +20, father_given_match: +15, mother_given_match: +15, second_order_relation: +15
1986942 ↔ 1986942 106 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, spouse_given_overlap: +20, father_given_match: +15, mother_given_match: +15
2020292 ↔ 2563243 95 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, children_overlap: +10, second_order_relation: +15
2020292 ↔ 2353135 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
1986942 ↔ 2563243 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
1986942 ↔ 2020292 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
1986942 ↔ 2353135 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
2353135 ↔ 2563243 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
1991877 ↔ 2563243 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
1991877 ↔ 2020292 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
1991877 ↔ 2353135 85 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, second_order_relation: +15
2563243 ↔ 2563243 80 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, children_overlap: +10
2020292 ↔ 2020292 80 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20, children_overlap: +10
2353135 ↔ 2353135 70 gender_same: +0, surname_exact: +25, given_exact: +25, spouse_given_overlap: +20
59568 ↔ 64305 63 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, occupation_match: +7
54107 ↔ 59568 63 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, occupation_match: +7
59567 ↔ 59568 63 gender_same: +0, surname_exact: +25, given_exact: +25, street_match: +6, occupation_match: +7
54107 ↔ 64305 63 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, occupation_match: +7
65458 ↔ 592744 62 gender_same: +0, surname_synonym: +20, given_exact: +25, birthplace_same: +10, occupation_match: +7
57936 ↔ 592744 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
64305 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
54107 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
2843729 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
59567 ↔ 592744 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
592744 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
53584 ↔ 57936 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
54107 ↔ 57936 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
53584 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
54107 ↔ 592744 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
57936 ↔ 64305 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
57936 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
59567 ↔ 64305 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
59568 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
64305 ↔ 592744 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
59567 ↔ 2843729 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
57936 ↔ 59568 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
54107 ↔ 59567 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
53584 ↔ 592744 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
59568 ↔ 592744 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
57936 ↔ 59567 57 gender_same: +0, surname_exact: +25, given_exact: +25, occupation_match: +7
59567 ↔ 1000483196 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
53584 ↔ 1986942 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
53584 ↔ 1991877 56 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6
64305 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
54107 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
53584 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
592744 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
1991877 ↔ 2843729 50 gender_same: +0, surname_exact: +25, given_exact: +25
592744 ↔ 1991877 50 gender_same: +0, surname_exact: +25, given_exact: +25
59567 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
54107 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
2353135 ↔ 2843729 50 gender_same: +0, surname_exact: +25, given_exact: +25
54107 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
64305 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
2563243 ↔ 2843729 50 gender_same: +0, surname_exact: +25, given_exact: +25
57936 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
59568 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
59568 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
64305 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
592744 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
57936 ↔ 1986942 50 gender_same: +0, surname_exact: +25, given_exact: +25
592744 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
57936 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
57936 ↔ 1991877 50 gender_same: +0, surname_exact: +25, given_exact: +25
53584 ↔ 2563243 50 gender_same: +0, surname_exact: +25, given_exact: +25
592744 ↔ 1986942 50 gender_same: +0, surname_exact: +25, given_exact: +25
59568 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
1986942 ↔ 2843729 50 gender_same: +0, surname_exact: +25, given_exact: +25
2020292 ↔ 2843729 50 gender_same: +0, surname_exact: +25, given_exact: +25
59567 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
57936 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
53584 ↔ 2020292 50 gender_same: +0, surname_exact: +25, given_exact: +25
59567 ↔ 2353135 50 gender_same: +0, surname_exact: +25, given_exact: +25
53584 ↔ 59567 47 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10, occupation_match: +7
53584 ↔ 54107 47 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10, occupation_match: +7
53584 ↔ 59568 47 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10, occupation_match: +7
53584 ↔ 64305 47 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10, occupation_match: +7
64305 ↔ 1991877 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
54107 ↔ 1991877 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
54107 ↔ 1986942 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
64305 ↔ 1986942 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
59568 ↔ 1986942 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
59567 ↔ 1986942 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
59568 ↔ 1991877 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10
59567 ↔ 1991877 40 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_conflict: -10

Relaties

relatiemetsupport
partner Teunis van Hofwegen 5
ouder van Christina Johanna van Hofwegen 2
kind van Neeltje van der Mel 2
kind van Klaas de Bruin 2

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