Remove Analytics

Willem BOKSEM

b. 1907
p. Rotterdam, , Zuid-Holland, Netherlands
d.
p.

Arend BOKSEM

b. 6 Dec 1869
p. Steenwijksmoer, , Drenthe, Netherlands
d. 1956
p.
2 Jun 1895

Barteld BOKSEM

b. 23 Apr 1837
d. 1869

Arend Alberts BOXEN

b. 16 Apr 1794
d. 10 Sep 1837

Albert Bartelds BOXEM

chr. 17 Nov 1754
d. 1831

Margjen Arends van VEEN

b. 1776
d.

Hendrikjen HENGEVELD

b. 1801
d. 23 Jul 1880

Grietje Roelofs ZUIDEMA

b. 20 Aug 1837
d. Bef 1895

Roelof Hendriks SUIDEMA

b.
d.

Antje Pieters OSINGA

b.
d.

Evertje SPOELSTRA

b. 27 May 1871
p. Grootegast, , Groningen, Netherlands
d. 1957
p.
2 Jun 1895

Fokke Jans SPOELSTRA

b. 24 Sep 1833
d. 4 Oct 1898

Jan Willems SPOELSTRA

b. Abt 1799
d.

Willem Jans SPOELSTRA

b. 4 Jun 1772
d. 18 Feb 1864

Antje BANJERS

b.
d.

Hindriktje Fokkes OUDMAN

b. 1798
d.

Fokke Jans OUDMAN

b.
d.

Roelfke Douwes (__?__)

b.
d.

Lutske KUIN

b. 1838
d. 28 Dec 1932

Daniel Douwes KUIN

b.
d.

Evertje Jans FERINGA

b.
d.

Marriage(s):
Klaassina van der WAL
m: on 8 Aug 1928 in Amsterdam, , Noord-Holland, Netherlands.



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

(15/28) 53%

5

(11/56) 19%

6

(2/112) 1%

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

(8/8) 100%

5

(6/16) 37%

6

(2/32) 6%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(22/510) 4%

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

(1/4) 25%

5

(0/8) 0%

6

(0/16) 0%

7

(0/32) 0%

8

(0/64) 0%

9

(0/128) 0%

Tot:

(4/255) 1%

Death Dates

2

(2/2) 100%

3

(4/4) 100%

4

(2/8) 25%

5

(2/16) 12%

6

(0/32) 0%

7

(0/64) 0%

8

(0/128) 0%

9

(0/256) 0%

Tot:

(10/510) 1%