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Pieter GLAS

b. 30 Jan 1851
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 30 Jan 1851
p. Egmond aan Zee, , Noord-Holland, Netherlands

Thijs Ariesz GLAS

b. 22 Aug 1824
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 5 Apr 1904
p. Egmond aan Zee, , Noord-Holland, Netherlands
23 Jun 1850

Arie Kosz GLAS

b. 1795
d. 7 Apr 1877

Kos GLAS

b.
d.

Aagje Alberts GOUDA

b.
d.

Antje DEKKER

b. 1797
d. 21 Nov 1870

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

Jannetje "Adriaantje" DEKKER

b. 1830
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 21 Apr 1909
p. Egmond aan Zee, , Noord-Holland, Netherlands
23 Jun 1850

Gerrit Cornelisz DEKKER

b. 1792
d. 6 Jun 1871

Cornelis Engelsz DEKKER

b.
d.

Willempie de RUITER

b.
d.

Afie Pieters KOMEN

b. 1798
d. 24 Feb 1886

Pieter KOMEN

b. 1776
d. 30 Sep 1807

Maartje Cornelis CASTRICUM

b. 1771
d. 10 Jul 1806

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

(14/14) 100%

4

(17/28) 60%

5

(14/56) 25%

6

(10/112) 8%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(62/1785) 3%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(4/16) 25%

6

(7/32) 21%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(25/510) 4%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(1/32) 3%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(15/510) 2%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

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:

(6/255) 2%

Death Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(2/32) 6%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(16/510) 3%