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Annetje NIJGH

b. 5 Oct 1721
p. Katwijk, , Zuid-Holland, Netherlands
d. 14 Jan 1769
p. Katwijk, , Zuid-Holland, Netherlands

Willem Pietersz NIJGH

b. 30 Nov 1692
p. Katwijk, , Zuid-Holland, Netherlands
d. 11 Sep 1724
p. Katwijk aan Zee, , Zuid-Holland, Netherlands
1 Oct 1713

Pieter Leendertsz NIJGH

b. 14 Feb 1666
d. 1708

Leendert Dirksz NIJGH

b. Abt 1645
d. 3 Aug 1720

Jannetgen Philipsd DOUBLET

b. 30 May 1636
d. 1703

Philips Pietersz DOUBLET

b. 1596
d. 1652

Jannetje Woutersd van HERREVELT

b.
d. 1703

Machtelt Willems HOEK

b. 1666
d.

Willem Cornelis de HAES HOEK

b. 1642
d. 1 May 1728

Cornelis Claesz HOUCK

b. 1615
d. 31 Aug 1717

Haesje Willemsdr

b. 1620
d. 3 May 1667

Maertie Arents REIJNE de VOIJS

b. 1640
d. 1699

Arent DE VOOIJS

b. Bef 1643
d.

Neeltje BASTIAENS

b. Bef 1643
d.

Kniertje KUIJT

b. 8 Feb 1693
p. Katwijk, , Zuid-Holland, Netherlands
d. 11 Sep 1759
p. Katwijk, , Zuid-Holland, Netherlands
1 Oct 1713

Aldert Gijsz KUIJT

b. Nov 1667
d. 27 Sep 1732

Anna Ewoutsd HAKKER

b. Mar 1667
d. Bef 1709

Euwout HAKKER

b.
d.

Kniertje van der KNAAP

b.
d.

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

(15/28) 53%

5

(15/56) 26%

6

(6/112) 5%

7

(2/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(57/1785) 3%

People

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(6/16) 37%

6

(2/32) 6%

7

(1/64) 1%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(21/510) 4%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(5/16) 31%

6

(2/32) 6%

7

(1/64) 1%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(18/510) 3%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(0/8) 0%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(3/255) 1%

Death Dates

2

(2/2) 100%

3

(3/4) 75%

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:

(15/510) 2%