Remove Analytics

Adolph GUTTER

b. 5 Aug 1801
p. Medemblik, , Noord-Holland, Netherlands
d. 16 Nov 1865
p. Medemblik, , Noord-Holland, Netherlands

Cornelis Johannisz GUTTER

b. 23 Jul 1763
p. Medemblik, , Noord-Holland, Netherlands
d. 4 Dec 1828
p. Medemblik, , Noord-Holland, Netherlands
3 Nov 1792

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
p. Medemblik, , Noord-Holland, Netherlands
d. 28 Jan 1810
p. Medemblik, , Noord-Holland, Netherlands
3 Nov 1792

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.

Marriage(s):
Maria van der HULST
m: on 15 Jun 1834 in Medemblik, , Noord-Holland, Netherlands.


Jaapje SCHEERMAN
m: on 11 Jun 1837 in Medemblik, , Noord-Holland, Netherlands.

Children from this marriage:
  Cornelis GUTTER
  Jannetje 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

(14/14) 100%

4

(11/28) 39%

5

(0/56) 0%

6

(0/112) 0%

7

(0/224) 0%

8

(0/448) 0%

9

(0/896) 0%

Tot:

(32/1785) 1%

People

2

(2/2) 100%

3

(4/4) 100%

4

(5/8) 62%

5

(0/16) 0%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(11/510) 2%

Birth Dates

2

(2/2) 100%

3

(4/4) 100%

4

(3/8) 37%

5

(0/16) 0%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(9/510) 1%

Marriage Dates

2

(1/1) 100%

3

(2/2) 100%

4

(0/4) 0%

5

(0/8) 0%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(3/255) 1%

Death Dates

2

(2/2) 100%

3

(4/4) 100%

4

(3/8) 37%

5

(0/16) 0%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(9/510) 1%