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Helena de VRIJ

b. 1866
p. Egmond aan Zee, , Noord-Holland, Netherlands
d.
p.

Pieter Joppen de VRIJ

b. 20 Aug 1836
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 1879
p. Egmond aan Zee, , Noord-Holland, Netherlands
24 Jan 1864

Job Pietersz de VRIJ

b. 1813
d.

Pieter Joppe de VRIJ

b.
d.

Engeltje PANNEVIS

b.
d.

Helena "Leentje" Rongen GUL

b. 1813
d.

Rong GUL

b.
d.

Kniertje TELLEMAN

b.
d.

Elisabeth Cornelisd van der PLAS

b. 21 Mar 1839
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 9 Mar 1903
p. Den Helder, , Noord-Holland, Netherlands
24 Jan 1864

Cornelis Cornelisz van der PLAS

b. 1812
d. 22 Mar 1875

Cornelis Cornelisz van der PLAS

b. 1777
d. 30 May 1845

Cornelis Krijnsz van der PLAS

b. 1737
d.

Neeltje Arijs HOEK

b. 1738
d.

Trijntje Baarts BAK

b. 23 Jan 1780
d. 6 Feb 1857

Baart Jansz BAK

b. 10 Apr 1752
d. 12 May 1806

Aagie Klaas KRIJGSMAN

b. 5 Oct 1755
d. 4 Nov 1787

Aaltje Engels KONIJN

b. 25 Feb 1811
d. 21 Nov 1847

Engel Ijsbrand KONIJN

b.
d.

Lisbeth van der SCHINKEL

b.
d.

Marriage(s):
Pieter ZWAAIJ
m: on 5 Jun 1889 in Den Helder, , 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

(12/14) 85%

4

(13/28) 46%

5

(12/56) 21%

6

(26/112) 23%

7

(41/224) 18%

8

(52/448) 11%

9

(57/896) 6%

Tot:

(220/1785) 12%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(4/16) 25%

6

(8/32) 25%

7

(15/64) 23%

8

(20/128) 15%

9

(21/256) 8%

Tot:

(82/510) 16%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(2/8) 25%

5

(4/16) 25%

6

(8/32) 25%

7

(12/64) 18%

8

(19/128) 14%

9

(20/256) 7%

Tot:

(71/510) 13%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(1/4) 25%

5

(2/8) 25%

6

(4/16) 25%

7

(5/32) 15%

8

(5/64) 7%

9

(3/128) 2%

Tot:

(23/255) 9%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(2/16) 12%

6

(6/32) 18%

7

(9/64) 14%

8

(8/128) 6%

9

(13/256) 5%

Tot:

(44/510) 8%