Remove Analytics

Hendrik GUIJT

b. 1868
p. Volendam, , Noord-Holland, Netherlands
d.
p.

Jan Cornelisz GUIJT

b. 1834
p. Volendam, , Noord-Holland, Netherlands
d.
p.
27 Jan 1861

Cornelis Heinsz GUIJT

b. 20 Dec 1796
d. 15 Sep 1838

Hein Heinsz GUIJT

b. 16 Jul 1755
d. 8 Jun 1810

Maretje Crelis KRAS

b. 16 Feb 1763
d. 29 Oct 1806

Crelis Jansz "Kras" POOIJER

b. 4 Mar 1735
d.

Clasje Jans

b. 6 Sep 1739
d. 9 Feb 1780

Bregje Thames KIEFT

b. 1 May 1800
d. 21 May 1858

Thamis Gerritsz KIEFT

b. 22 Sep 1761
d. 23 Apr 1821

Cornelia "Neeltje" Everts SMIT

b. Abt 1764
d. 29 Mar 1832

Evert Jansz SMIT

b. 15 Aug 1740
d.

Jannetje Klaas de GRAAF

b. 25 Sep 1744
d.

Aaltje Pieterse van VLAANDEREN

b. 1834
p. Volendam, , Noord-Holland, Netherlands
d.
p.
27 Jan 1861

Pieter van VLAANDEREN

b. 1784
d.

Jan Pietersz van VLAANDEREN

b.
d.

Aaltje Jans BOOTSMAN

b.
d.

Stijntje Klaas JONK

b. 1796
d.

Klaas Jansz JONK

b.
d. 4 Jul 1800

Aaltje Jans GROOT

b. 1762
d. 29 Jan 1850

Jan GROOT

b.
d.

Marriage(s):
Aaltje VEERMAN
m: on 22 Dec 1895 in Edam, , Noord-Holland, Netherlands.

Children from this marriage:
  Trijntje GUIJT
  Neelltje GUIJT



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

(5/7) 71%

3

(12/14) 85%

4

(20/28) 71%

5

(11/56) 19%

6

(13/112) 11%

7

(18/224) 8%

8

(15/448) 3%

9

(9/896) 1%

Tot:

(103/1785) 5%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(5/16) 31%

6

(6/32) 18%

7

(8/64) 12%

8

(7/128) 5%

9

(4/256) 1%

Tot:

(44/510) 8%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(5/8) 62%

5

(4/16) 25%

6

(4/32) 12%

7

(6/64) 9%

8

(4/128) 3%

9

(4/256) 1%

Tot:

(33/510) 6%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(1/4) 25%

5

(1/8) 12%

6

(2/16) 12%

7

(2/32) 6%

8

(1/64) 1%

9

(0/128) 0%

Tot:

(10/255) 3%

Death Dates

2

(0/2) 0%

3

(2/4) 50%

4

(6/8) 75%

5

(1/16) 6%

6

(1/32) 3%

7

(2/64) 3%

8

(3/128) 2%

9

(1/256) 0%

Tot:

(16/510) 3%