Remove Analytics

Rachel Ariens van der PLAS

b. 18 Dec 1803
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 5 Jun 1835
p. Egmond aan Zee, , Noord-Holland, Netherlands

Arij Cornelisz van der PLAS

b. 1761
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
d. 1 Apr 1809
p. Egmond aan Zee, , Noord-Holland, Netherlands
27 Jul 1788

Cornelis Krijnsz van der PLAS

b. 1737
d.

Krijn Leenderts van der PLAS

b. 1709
d. 29 Sep 1742

Leendert Krijne van der PLAS

b. 1684
d. 27 Sep 1751

Diewertje Jacobs VLIELANDER

b. 1684
d. 22 Sep 1768

Aaltje Cornelis de HAAN

b. 1708
d. 15 Sep 1781

Cornelis Jans de HAAN

b. 1679
d.

Aeltie Simons HOEK

b. 1679
d.

Neeltje Arijs HOEK

b. 1738
d.

Arij Jansz HOEK

b. 1697
d.

Jan Willems HOEK

b. Abt 1665
d. 19 Feb 1741

Neeltje Jans van HEIJNINGEN

b. 1666
d.

Maartje Arijs van RHIJN

b. 1704
d.

Arij Arijsz van RHIJN

b. 1666
d. 28 Dec 1732

Belijtje Aelberts VOORHEIJ

b. 1666
d. 27 Jul 1718

Rachel Reyers KOEDIJK

b. 1769
p. Egmond aan Zee, , Noord-Holland, Netherlands
d. 11 Jan 1824
p. Egmond aan Zee, , Noord-Holland, Netherlands
27 Jul 1788

Reijer Jansz KOEDIJK

b. 1735
d. 14 Apr 1781

Geertje Ariens MOOIJ

b. Abt 1730
d. 26 Oct 1789

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

(11/14) 78%

4

(12/28) 42%

5

(25/56) 44%

6

(45/112) 40%

7

(57/224) 25%

8

(31/448) 6%

9

(20/896) 2%

Tot:

(208/1785) 11%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(8/16) 50%

6

(16/32) 50%

7

(21/64) 32%

8

(12/128) 9%

9

(8/256) 3%

Tot:

(75/510) 14%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(8/16) 50%

6

(16/32) 50%

7

(20/64) 31%

8

(10/128) 7%

9

(7/256) 2%

Tot:

(71/510) 13%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(2/4) 50%

5

(4/8) 50%

6

(5/16) 31%

7

(3/32) 9%

8

(2/64) 3%

9

(1/128) 0%

Tot:

(19/255) 7%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(5/16) 31%

6

(8/32) 25%

7

(13/64) 20%

8

(7/128) 5%

9

(4/256) 1%

Tot:

(43/510) 8%