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Janna GROEN

b. 25 Aug 1829
p. Groot-Ammers, , Zuid-Holland, Netherlands
d.
p.

Jan GROEN

chr. 11 Jul 1773
p. Groot-Ammers, , Zuid-Holland, Netherlands
d. 16 Feb 1826
p. Peursum, , Zuid-Holland, Netherlands
26 Dec 1822

Hendrik GROEN

chr. 4 Jul 1734
d. 30 Nov 1809

Jacobus Hendrikse GROEN

b. 1698
d.

Hendrik Gerritse GROENEVELT

chr. 19 Jun 1670
d.

Mergie Teunisse MAAT

b. 1672
d.

Annigje Jansdr de JONG

b. 1700
d.

Jan Heindrix de JONG

b. 1671
d.

Steijntje Dircksdr BICKER

b.
d.

Baligje Ariens den DEGEN

chr. 21 Feb 1745
d. 1 Sep 1822

Arien Everts den DEGEN

b.
d.

Bastiaantje Bouwens KUIJPER

b.
d.

Janna PRINS

b. 24 Jun 1797
p. Brandwijk, , Zuid-Holland, Netherlands
d.
p.
26 Dec 1822

Cornelis PRINS

chr. 16 Feb 1766
d. 5 Aug 1833

Arie Jansz PRINS

b. 24 Aug 1728
d.

Jan Pietersz PRINS

b.
d.

Ariaantje Leenderts SPEK

b.
d.

Marrigje van der PIJL

b. Abt 1732
d.

Jannigje GELDERBLOM

chr. 1 Sep 1765
d. 16 Oct 1841

Gerrit GELDERBLOM

chr. 11 Oct 1723
d.

Wiers Jans GELDERBLOM

b. Abt 1692
d.

Annigje Gerrits VERKAIK

b. Abt 1695
d.

Johanna HEIJHOOP

b. Abt 1728
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

(6/7) 85%

3

(14/14) 100%

4

(16/28) 57%

5

(14/56) 25%

6

(8/112) 7%

7

(15/224) 6%

8

(15/448) 3%

9

(7/896) 0%

Tot:

(95/1785) 5%

People

2

(2/2) 100%

3

(4/4) 100%

4

(8/8) 100%

5

(8/16) 50%

6

(4/32) 12%

7

(6/64) 9%

8

(8/128) 6%

9

(4/256) 1%

Tot:

(44/510) 8%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(6/8) 75%

5

(5/16) 31%

6

(1/32) 3%

7

(3/64) 4%

8

(4/128) 3%

9

(1/256) 0%

Tot:

(26/510) 5%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(2/4) 50%

5

(1/8) 12%

6

(1/16) 6%

7

(2/32) 6%

8

(1/64) 1%

9

(0/128) 0%

Tot:

(10/255) 3%

Death Dates

2

(1/2) 50%

3

(4/4) 100%

4

(0/8) 0%

5

(0/16) 0%

6

(2/32) 6%

7

(4/64) 6%

8

(2/128) 1%

9

(2/256) 0%

Tot:

(15/510) 2%