Reconstructie » Johannes Ogier

Johannes Ogier

12 observaties · mediaan 75 · geboren 1818-02-19 · overleden 1864-10-10

URI: https://www.goudatijdmachine.nl/id/reconstructie-fd1d5ac1-2615-4f11-ae3e-394f380058ce

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
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1850 75 56
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1850 75 56
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1850 75 56
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1850 75 56
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1860 75 56
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1860 75 56
Johannes Ogier 1818-02-19 oa:bevolkingsregister 1850 75 56
Johannes Ogier 41 oa:burgerlijkestand 1859 70 56
Johannes Ogier 41 oa:burgerlijkestand 1859 70 56
Johannes Ogier 1818-01-19 samh 1818 67 50
Johannes Ogier 1864-10-10 oa:burgerlijkestand 1864 57 50
Johannes Ogier 1864-10-10 oa:burgerlijkestand 1864 57 50

Bewijs = paren binnen de reconstructie

paarscorefeatures
1000468089 ↔ 1000547678 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
2576035 ↔ 1000468089 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
2576035 ↔ 1000547678 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
1000449187 ↔ 1000476714 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000476714 ↔ 1000508990 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000439691 ↔ 1000508990 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000418143 ↔ 1000476714 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000418143 ↔ 1000439691 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000306837 ↔ 1000476714 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000306837 ↔ 1000337905 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000306837 ↔ 1000418143 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000306837 ↔ 1000439691 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000306837 ↔ 1000508990 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000306837 ↔ 1000449187 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000439691 ↔ 1000449187 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000449187 ↔ 1000508990 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337905 ↔ 1000439691 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337905 ↔ 1000418143 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337905 ↔ 1000476714 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337905 ↔ 1000508990 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000337905 ↔ 1000449187 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000418143 ↔ 1000508990 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000439691 ↔ 1000476714 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000418143 ↔ 1000449187 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000327822 ↔ 1000500656 76 gender_same: +0, surname_exact: +25, given_exact: +25, death_day_exact: +20, place_name_match: +6
1000476714 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000449187 ↔ 1000468089 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2576035 ↔ 1000337905 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
1000468089 ↔ 1000508990 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2576035 ↔ 1000439691 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
1000337905 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2576035 ↔ 1000476714 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
2576035 ↔ 1000508990 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
1000306837 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2576035 ↔ 1000418143 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
1000337905 ↔ 1000468089 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000449187 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2576035 ↔ 1000306837 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
1000418143 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000439691 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000439691 ↔ 1000468089 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000306837 ↔ 1000468089 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
2576035 ↔ 1000449187 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_date_near_miss: +0, birth_year_exact: +12
1000418143 ↔ 1000468089 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000468089 ↔ 1000476714 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000508990 ↔ 1000547678 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000500656 ↔ 1000508990 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000508990 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000337905 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000468089 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000439691 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000337905 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000476714 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000418143 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000439691 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000547678 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000468089 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000327822 ↔ 1000449187 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000449187 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000500656 ↔ 1000547678 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000306837 ↔ 1000327822 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000306837 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000418143 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
1000476714 ↔ 1000500656 56 gender_same: +0, surname_exact: +25, given_exact: +25, place_name_match: +6
2576035 ↔ 1000500656 50 gender_same: +0, surname_exact: +25, given_exact: +25
2576035 ↔ 1000327822 50 gender_same: +0, surname_exact: +25, given_exact: +25

Relaties

relatiemetsupport
kind van Johanna Catharina Gerritsen 2
kind van (betwist) Johanna Geenen 1
kind van Johannes Petrus Ogier 3
partner Maria Victorina Johanna Elisabeth de Koning 2

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