Reconstructie » Marianna van Minden

Marianna van Minden

12 observaties · mediaan 64 · geboren 1810-10-09 · overleden ?

URI: https://www.goudatijdmachine.nl/id/reconstructie-bae31259-162c-42f6-8ba7-e5bcb38efa08

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
Marianne van Minden 1810-10-09 oa:bevolkingsregister 1860 71 61
Marianne van Minden 1810-10-09 oa:bevolkingsregister 1860 71 61
Marianne van Minden 1810-10-09 oa:bevolkingsregister 1860 71 61
Marianne van Minden 1810-10-09 oa:bevolkingsregister 1860 71 61
Marianne van Minden 1810-10-09 oa:bevolkingsregister 1860 71 61
Marianna van Minden 1810 oa:bevolkingsregister 1850 64 55
Marianna van Minden 1810 oa:bevolkingsregister 1591 64 55
Marianna van Minden 1810 oa:bevolkingsregister 1850 64 55
Marianna Minden 1810 oa:bevolkingsregister 1850 64 55
Marianna van Minden 1810 oa:bevolkingsregister 1850 64 55
Marianna van Minden 1810 oa:bevolkingsregister 1850 64 55
Marianne van Minden 41 oa:burgerlijkestand 1811 58 55

Bewijs = paren binnen de reconstructie

paarscorefeatures
1000457764 ↔ 1000507744 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000500622 ↔ 1000507744 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000500622 ↔ 1000526758 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000409890 ↔ 1000526758 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000457764 ↔ 1000500622 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000457764 ↔ 1000526758 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000409890 ↔ 1000457764 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000409890 ↔ 1000500622 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000507744 ↔ 1000526758 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000409890 ↔ 1000507744 87 gender_same: +0, surname_exact: +25, given_exact: +25, birth_day_exact: +31, place_name_match: +6
1000406857 ↔ 1000451421 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000423942 ↔ 1000451421 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000481618 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000398550 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000481618 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000451421 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000423942 ↔ 1000481618 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000406857 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000481618 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000451421 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000406857 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000423942 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000423942 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000451421 ↔ 1000481618 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000423942 68 gender_same: +0, surname_exact: +25, given_exact: +25, birth_year_exact: +12, place_name_match: +6
1000209769 ↔ 1000457764 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000409890 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000500622 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000507744 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000526758 62 gender_same: +0, surname_exact: +25, given_exact: +25, birth_est_near: +6, place_name_match: +6
1000481618 ↔ 1000526758 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000500622 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000409890 ↔ 1000481618 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000457764 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000451421 ↔ 1000457764 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000500622 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000409890 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000481618 ↔ 1000500622 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000423942 ↔ 1000507744 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000451421 ↔ 1000500622 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000457764 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000409890 ↔ 1000451421 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000507744 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000481618 ↔ 1000507744 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000526758 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000451421 ↔ 1000526758 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000409890 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000457764 ↔ 1000481618 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000507744 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000409890 ↔ 1000423942 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000423942 ↔ 1000500622 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000507744 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000526758 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000500622 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000423942 ↔ 1000457764 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000451421 ↔ 1000507744 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000423942 ↔ 1000526758 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000313229 ↔ 1000457764 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000398550 ↔ 1000526758 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000406857 ↔ 1000409890 61 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_year_exact: +12, place_name_match: +6
1000209769 ↔ 1000313229 55 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000481618 55 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000423942 55 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000406857 55 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000451421 55 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_est_near: +6, place_name_match: +6
1000209769 ↔ 1000398550 55 gender_same: +0, surname_exact: +25, given_jw_high: +18, birth_est_near: +6, place_name_match: +6

Relaties

relatiemetsupport
kind van Diena Hartog 1
partner Abraham Jacob Trijbits 1
kind van Juda van Minden 1

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