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Michiel "Chiel" Teunisz van der PLAS

b. 5 Aug 1796
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
d.
p.

Teunis Michielsz van der PLAS

b. 3 Oct 1762
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
d. 29 Nov 1802
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
1 Apr 1787

Michiel Teunisz van der PLAS

b. 1737
d. 9 May 1804

Teunis Chielesz van der PLAS

b. 26 Nov 1703
d.

Michiel Corneliszn van der PLAS

b. 20 Jan 1658
d.

Jaapje Jacobsdr HUS

b. 16 Sep 1663
d.

Lijsbeth Willems de JONG

b. 27 Jul 1704
d.

Willem Cornelisz de JONG

b.
d.

Trijntje Cornelis SCHAAP

b.
d.

Aafje Huigsdr van DUIJN

b. 1736
d. 18 Mar 1774

Huig Jacobsz van DUIJN

b. 1712
d. 19 Jun 1791

Jacob Gijsz van DUIJNE

b. 10 Apr 1651
d. 14 Oct 1725

Aaltje Ariesd GRATEMA

b. 21 Sep 1670
d. 12 May 1728

Maartje Huijgsd VOOIJS

b. 1713
d. 2 Jan 1769

Huigh Teunsz VOOIJS

b. 15 Oct 1684
d. 11 May 1722

Aafje Klaas MOL

b. 8 Apr 1685
d. 19 Oct 1761

Klaasje Dirk STEENVOORDEN

b. 30 Jun 1756
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
d. 18 Jun 1829
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
1 Apr 1787

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

(6/7) 85%

3

(7/14) 50%

4

(12/28) 42%

5

(19/56) 33%

6

(13/112) 11%

7

(5/224) 2%

8

(6/448) 1%

9

(6/896) 0%

Tot:

(74/1785) 4%

People

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(8/16) 50%

6

(6/32) 18%

7

(3/64) 4%

8

(2/128) 1%

9

(2/256) 0%

Tot:

(29/510) 5%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(6/16) 37%

6

(4/32) 12%

7

(2/64) 3%

8

(2/128) 1%

9

(2/256) 0%

Tot:

(24/510) 4%

Marriage Dates

2

(0/1) 0%

3

(1/2) 50%

4

(2/4) 50%

5

(1/8) 12%

6

(1/16) 6%

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

(2/128) 1%

9

(2/256) 0%

Tot:

(16/510) 3%