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Pieter GUTTER

b. 1905
p. Sint Pancras, , Noord-Holland, Netherlands
d. 26 May 1906
p. Sint Pancras, , Noord-Holland, Netherlands

Cornelis "Kees" GUTTER

b. 9 Mar 1881
p. Sint Pancras, , Noord-Holland, Netherlands
d. 25 Dec 1950
p. Apeldoorn, , Gelderland, Netherlands
28 Aug 1902

Pieter GUTTER

b. 29 Apr 1850
d. 1 Jan 1918

Cornelis GUTTER

b. 1826
d. 4 Jul 1905

Pieter Cornelisz GUTTER

b. 8 Oct 1797
d. 7 Jan 1836

Maartje Pieters SCHUURMAN

b. 24 Aug 1798
d. 19 Oct 1830

Maartjes GOOTJES

b. 1 May 1825
d. 18 Jan 1892

Pieter GOOTJES

b. 1797
d. 17 Mar 1881

Reijnoutje KISTEMAKER

b. 15 Dec 1793
d. 6 Mar 1881

Christina NAT

b. 23 Dec 1854
d. 11 Jun 1910

Cornelis NAT

b. 5 Apr 1830
d. 13 Nov 1859

Pieter Jansz NAT

b. 1791
d. 26 Oct 1831

Christina Jacobs van EGMOND

b. 5 Apr 1796
d. 24 Apr 1871

Maartje SMIT

b. 1 Sep 1829
d. 1880

Jan Jacobsz SMIT

b. 6 Mar 1797
d. 6 Nov 1873

Grietje Jans BLOM

b. 24 Oct 1797
d. 19 Jun 1858

Aaltje BOOIJ

b. 1879
p. Sint Pancras, , Noord-Holland, Netherlands
d. 11 Feb 1909
p. Sint Pancras, , Noord-Holland, Netherlands
28 Aug 1902

Arie BOOIJ

b.
d.

Maartje WOGNUM

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

(9/14) 64%

4

(14/28) 50%

5

(28/56) 50%

6

(54/112) 48%

7

(79/224) 35%

8

(78/448) 17%

9

(61/896) 6%

Tot:

(330/1785) 18%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(8/16) 50%

6

(16/32) 50%

7

(28/64) 43%

8

(34/128) 26%

9

(24/256) 9%

Tot:

(120/510) 23%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(8/16) 50%

6

(15/32) 46%

7

(23/64) 35%

8

(23/128) 17%

9

(20/256) 7%

Tot:

(97/510) 19%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(2/4) 50%

5

(4/8) 50%

6

(7/16) 43%

7

(10/32) 31%

8

(7/64) 10%

9

(4/128) 3%

Tot:

(36/255) 14%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(8/16) 50%

6

(16/32) 50%

7

(18/64) 28%

8

(14/128) 10%

9

(13/256) 5%

Tot:

(77/510) 15%