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Cornelis GUTTER

b. 18 Jul 1852
p. Abbekerk, , Noord-Holland, Netherlands
d. 23 Nov 1861
p. Lambertschaag, , Noord-Holland, Netherlands

Hendrik "Hein" GUTTER

b. 8 Oct 1820
p. Lambertschaag, , Noord-Holland, Netherlands
d. 12 Feb 1896
p. Medemblik, , Noord-Holland, Netherlands
27 Apr 1845

Pieter Cornelisz GUTTER

b. 8 Oct 1797
d. 7 Jan 1836

Cornelis Johannisz GUTTER

b. 23 Jul 1763
d. 4 Dec 1828

Johannis Adolfz GUTTER

b. 1740
d. 1 Jun 1806

Maartje Claasd VERWERS

b. 1742
d. 14 Jul 1773

Piertje LINDHOLM

b. 9 Sep 1767
d. 28 Jan 1810

Sijmon Pietersz LINDHOLM

b. Abt 1740
d. 27 Mar 1809

Annetje Joosten SCHUURMAN

b. Abt 1745
d. 29 Jan 1782

Maartje Pieters SCHUURMAN

b. 24 Aug 1798
d. 19 Oct 1830

Pieter Pietersz SCHUURMAN

b. 19 Feb 1765
d. 16 Jan 1848

Pieter Klaasz SCHUURMAN

b. Abt 1737
d.

Marijtje Jans BUIJS

b. 27 Oct 1743
d.

Maartje PIK

b.
d. 5 Feb 1809

Grietje NIEROP

b. 9 Sep 1819
p. Abbekerk, , Noord-Holland, Netherlands
d. 20 Jun 1861
p. Lambertschaag, , Noord-Holland, Netherlands
27 Apr 1845

Jan NIEROP

b.
d.

Jantje KLOMP

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

(12/28) 42%

5

(19/56) 33%

6

(22/112) 19%

7

(12/224) 5%

8

(5/448) 1%

9

(0/896) 0%

Tot:

(86/1785) 4%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(6/16) 37%

6

(9/32) 28%

7

(5/64) 7%

8

(3/128) 2%

9

(0/256) 0%

Tot:

(33/510) 6%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(3/8) 37%

5

(6/16) 37%

6

(7/32) 21%

7

(4/64) 6%

8

(2/128) 1%

9

(0/256) 0%

Tot:

(26/510) 5%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(3/8) 37%

6

(1/16) 6%

7

(1/32) 3%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(8/255) 3%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(4/16) 25%

6

(5/32) 15%

7

(2/64) 3%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(19/510) 3%