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Albertus GENET

b. 1861
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 21 Dec 1933
p. Haarlemmermeer, , Noord-Holland, Netherlands

Maarten GENET

b. 22 Nov 1818
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 15 May 1861
p. Egmond aan Zee, , Noord-Holland, Netherlands
21 Jan 1844

Louis Jozeph GENET

b.
d.

Aafie ZWART

b.
d.

Aafje Jans DEKKER

b. 30 Jul 1821
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 29 Jan 1871
p. Egmond aan Zee, , Noord-Holland, Netherlands
21 Jan 1844

Jan Pietersz DEKKER

b. 23 Feb 1795
d. 2 Jul 1876

Pieter Klaasz DEKKER

b. 28 Dec 1766
d. 2 Sep 1805

Klaas Sijmonsz MOLENAAR

b. Abt 1730
d. Bef 1787

Antje Pieters BRUIJN

b. Abt 1731
d. 1 Jul 1787

Lisbeth Tijs GUL

b. 9 Jun 1765
d. 19 Sep 1819

Thijs Thijsz GUL

b. 1731
d. 30 Oct 1806

Immetje Jans SCHONERMAN

b. 7 Aug 1730
d. 4 Jan 1793

Gerbrecht Willems BRUINENBERG

b. 12 Nov 1799
d. 17 Nov 1871

Willem BRUINENBERG

b.
d.

Aafie Pieters VISSER

b.
d.

Marriage(s):
Maria Petronella van BENTEM
m: on 27 Jun 1902 in Haarlemmermeer, , Noord-Holland, Netherlands.



PIKWA - Performance Indicator Kwartierstaat

These Charts show the relative state of completion of an individual's Pedigree Chart. It compares the number of vital statistics currently found to the total required to fill ten generations out from the chosen person.

The PIKWA concept was developed by Otto P. van Driel in The Netherlands.
Adapted to our Pedigree Charts by Rob Vanderplas

Combined

2

(7/7) 100%

3

(9/14) 64%

4

(9/28) 32%

5

(14/56) 25%

6

(10/112) 8%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(49/1785) 2%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(7/32) 21%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(21/510) 4%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(4/16) 25%

6

(1/32) 3%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(11/510) 2%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(2/8) 25%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(5/255) 1%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(4/16) 25%

6

(2/32) 6%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(12/510) 2%