Remove Analytics

Jacob GUTTER

b. 6 Oct 1896
p. Abbekerk, , Noord-Holland, Netherlands
d. 2 Oct 1988
p. Langedijk, , Noord-Holland, Netherlands

Johannes GUTTER

b. 13 Sep 1853
p. Abbekerk, , Noord-Holland, Netherlands
d. 21 May 1926
p.
9 Aug 1883

Hendrik "Hein" GUTTER

b. 8 Oct 1820
d. 12 Feb 1896

Pieter Cornelisz GUTTER

b. 8 Oct 1797
d. 7 Jan 1836

Cornelis Johannisz GUTTER

b. 23 Jul 1763
d. 4 Dec 1828

Piertje LINDHOLM

b. 9 Sep 1767
d. 28 Jan 1810

Maartje Pieters SCHUURMAN

b. 24 Aug 1798
d. 19 Oct 1830

Pieter Pietersz SCHUURMAN

b. 19 Feb 1765
d. 16 Jan 1848

Maartje PIK

b.
d. 5 Feb 1809

Grietje NIEROP

b. 9 Sep 1819
d. 20 Jun 1861

Jan NIEROP

b.
d.

Jantje KLOMP

b.
d.

Antje PREGT

b. 5 Dec 1857
p. Opperdoes, , Noord-Holland, Netherlands
d. 24 Mar 1915
p. Abbekerk, , Noord-Holland, Netherlands
9 Aug 1883

Gijsbertus PREGT

b.
d.

Maartje RUITER

b.
d.

Marriage(s):
Maartje den ENGELSE
m: on 7 Apr 1919 in Heerhugowaard, , Noord-Holland, Netherlands.

Children from this marriage:
  Anna GUTTER
  Frans GUTTER
  Johannes GUTTER
  Jacob Maarten GUTTER
  Grietje GUTTER
  Maria GUTTER



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

(9/28) 32%

5

(12/56) 21%

6

(19/112) 16%

7

(22/224) 9%

8

(12/448) 2%

9

(5/896) 0%

Tot:

(95/1785) 5%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(4/16) 25%

6

(6/32) 18%

7

(9/64) 14%

8

(5/128) 3%

9

(3/256) 1%

Tot:

(37/510) 7%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(3/16) 18%

6

(6/32) 18%

7

(7/64) 10%

8

(4/128) 3%

9

(2/256) 0%

Tot:

(28/510) 5%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(1/8) 12%

6

(3/16) 18%

7

(1/32) 3%

8

(1/64) 1%

9

(0/128) 0%

Tot:

(9/255) 3%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(2/8) 25%

5

(4/16) 25%

6

(4/32) 12%

7

(5/64) 7%

8

(2/128) 1%

9

(0/256) 0%

Tot:

(21/510) 4%