Remove Analytics

Jan GUTTER

b. 29 May 1835
p. Hoogwoud, , Noord-Holland, Netherlands
d. 15 Oct 1841
p. Hoogwoud, , Noord-Holland, Netherlands

Johannes GUTTER

b. 16 Sep 1793
p. Hoogwoud, , Noord-Holland, Netherlands
d. 24 Nov 1872
p. Hoogwoud, , Noord-Holland, Netherlands
8 Feb 1818

Cornelis Johannisz GUTTER

b. 23 Jul 1763
d. 4 Dec 1828

Johannis Adolfz GUTTER

b. 1740
d. 1 Jun 1806

Adolf Jan GUTTER

b. Abt 1713
d. 16 May 1789

Maartje Claasd VERWERS

b. 1742
d. 14 Jul 1773

Claas VERWERS

b.
d.

Piertje LINDHOLM

b. 9 Sep 1767
d. 28 Jan 1810

Sijmon Pietersz LINDHOLM

b. Abt 1740
d. 27 Mar 1809

Pieter Andriesz "Pier" LINDHOLM

b. Abt 1715
d. 18 May 1768

Catharina SMIT

b. Abt 1730
d. 28 Jun 1804

Annetje Joosten SCHUURMAN

b. Abt 1745
d. 29 Jan 1782

Joost SCHUURMAN

b.
d.

Maartje STAM

b. 15 Aug 1795
p. Opmeer, , Noord-Holland, Netherlands
d. 9 May 1857
p. Hoogwoud, , Noord-Holland, Netherlands
8 Feb 1818

Cornelis Jansz STAM

b. 23 Oct 1746
d. 17 Jul 1810

Jan Gerritsz STAM

b.
d.

Stijntje Cornelisd

b.
d.

Maartje Jansd KOETEN

b. 18 Mar 1753
d. 5 Oct 1819

Jan KOETEN

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

(14/14) 100%

4

(17/28) 60%

5

(11/56) 19%

6

(0/112) 0%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(49/1785) 2%

People

2

(2/2) 100%

3

(4/4) 100%

4

(7/8) 87%

5

(5/16) 31%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(18/510) 3%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(3/16) 18%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(13/510) 2%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(2/4) 50%

5

(0/8) 0%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(5/255) 1%

Death Dates

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(3/16) 18%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(13/510) 2%