Reconstructie » Geertruida Wilhelmina Frowein

Geertruida Wilhelmina Frowein

10 observaties · mediaan 77 · geboren 1832-10-11 · overleden ? · beroep geen

URI: https://www.goudatijdmachine.nl/id/reconstructie-eae0940e-934c-4c2e-8daf-7b73e7d1b116

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
Gertrude Wilhelmine Frowein 1832-10-11 oa:bevolkingsregister 79 47
Gertrude Wilhelmine Frowein 1832-10-11 oa:bevolkingsregister 79 47
Gertrude Wilhelmine Frowein 1832-10-11 oa:bevolkingsregister 1813 79 47
Gertrude Wilhelmina Frowein 1832-10-11 oa:bevolkingsregister 79 47
Gertrude Wilhelmine Frowein 1832-10-11 oa:bevolkingsregister 79 47
Gertrude Wilhelmine Frowein 1832-10-11 Geen samh 1850 76 41
Gertrude Wilhelmine Frowein 1832-10-11 samh 1860 76 41
Gertrude Wilhelmine Frowein 1832-10-11 oa:bevolkingsregister 1813 75 41
Geertruida Wilhelmina Frowein 1832-10-11 oa:bevolkingsregister 69 62
Geertruida Wilhelmina Frowein 28 oa:burgerlijkestand 1811 47 41

Bewijs = paren binnen de reconstructie

paarscorefeatures
2040987 ↔ 2697868 91 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, birthplace_same: +10
1000041983 ↔ 1000140420 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038976 ↔ 1000041983 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038592 ↔ 1000140420 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038198 ↔ 1000038592 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038198 ↔ 1000038976 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038198 ↔ 1000041983 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038592 ↔ 1000041983 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038592 ↔ 1000038976 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038976 ↔ 1000140420 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000038198 ↔ 1000140420 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
2040987 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2697868 ↔ 1000140420 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2697868 ↔ 1000038592 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2697868 ↔ 1000038976 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000038592 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000140420 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2040987 ↔ 1000038592 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2697868 ↔ 1000038198 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2697868 ↔ 1000041983 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000038976 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2697868 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000041983 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2040987 ↔ 1000140420 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000038198 ↔ 1000153754 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2040987 ↔ 1000041983 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2040987 ↔ 1000038198 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
2040987 ↔ 1000038976 81 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31
1000038976 ↔ 1000040144 72 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31, place_name_match: +6
1000040144 ↔ 1000041983 72 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31, place_name_match: +6
1000038592 ↔ 1000040144 72 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31, place_name_match: +6
1000038198 ↔ 1000040144 72 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31, place_name_match: +6
1000040144 ↔ 1000140420 72 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31, place_name_match: +6
1000040144 ↔ 1000153754 66 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31
2040987 ↔ 1000040144 66 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31
2697868 ↔ 1000040144 66 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_day_exact: +31
1000040144 ↔ 1000190289 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000038976 ↔ 1000190289 47 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6, place_name_match: +6
1000140420 ↔ 1000190289 47 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6, place_name_match: +6
1000041983 ↔ 1000190289 47 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6, place_name_match: +6
1000038592 ↔ 1000190289 47 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6, place_name_match: +6
1000038198 ↔ 1000190289 47 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6, place_name_match: +6
2040987 ↔ 1000190289 41 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6
1000153754 ↔ 1000190289 41 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6
2697868 ↔ 1000190289 41 gender_same: +0, surname_exact: +25, given_jw_mid: +10, birth_est_near: +6

Relaties

relatiemetsupport
partner Adrianus Pelt 1
kind van Maria Amalia Hulsenbeek 1
kind van Peter Conrad Frowein 1

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