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Raymond GROULX

b. 23 Jan 1922
p. Ottawa, Carleton Co, Ontario, Canada
d. 30 Apr 2012
p.

Valmore GROULX

b. 22 Nov 1879
p. Ottawa, Carleton Co, Ontario, Canada
d. 1 Nov 1961
p. Ottawa, Carleton Co, Ontario, Canada

Stanislas GROULX

b.
d.

Zepherine DANIS

b.
d.

Anna DESJARDINS

b. 17 Mar 1887
p. Gloucester Twp, Carleton Co, Ontario, Canada
d. 10 May 1965
p. Ottawa, Carleton Co, Ontario, Canada

Joseph Alphonse Edouard DESJARDINS

b. 10 Oct 1853
d. 7 Dec 1925

Sévère DESJARDINS

b. Oct 1824
d. 18 Jun 1893

Joseph DESJARDINS

b. Mar 1796
d. Aft 1861

Judith Julie THIBAULT dit LEVEILLE

b. 1797
d. 13 Sep 1866

Rose Anne ROCHON

b. 1822
d. 4 Oct 1910

Antoine ROCHON

b. 18 Jan 1793
d. 11 Sep 1841

Angelique THOUIN

b. 3 Apr 1799
d.

Éloïse Elise LOYER

b. 22 Oct 1855
d. 8 Mar 1945

Magloire LOYER DESNOYERS

b. 25 Oct 1833
d. Aft 1901

Octavie BAUNE

b. 1 Oct 1837
d. 19 May 1922

Gabriel BAUNE BOWEN

b. 28 Jun 1790
d. 10 Feb 1872

Marie Josephe PROULX

b. 18 Jan 1802
d. 15 Nov 1878

Marriage(s):
Gertrude BERGEVIN
m: .

Children from this marriage:
  (__?__) GROULX



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

(9/14) 64%

4

(13/28) 46%

5

(18/56) 32%

6

(8/112) 7%

7

(7/224) 3%

8

(13/448) 2%

9

(8/896) 0%

Tot:

(83/1785) 4%

People

2

(2/2) 100%

3

(4/4) 100%

4

(4/8) 50%

5

(6/16) 37%

6

(4/32) 12%

7

(2/64) 3%

8

(4/128) 3%

9

(4/256) 1%

Tot:

(30/510) 5%

Birth Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(6/16) 37%

6

(2/32) 6%

7

(2/64) 3%

8

(4/128) 3%

9

(2/256) 0%

Tot:

(24/510) 4%

Marriage Dates

2

(1/1) 100%

3

(1/2) 50%

4

(1/4) 25%

5

(1/8) 12%

6

(0/16) 0%

7

(1/32) 3%

8

(1/64) 1%

9

(0/128) 0%

Tot:

(6/255) 2%

Death Dates

2

(2/2) 100%

3

(2/4) 50%

4

(4/8) 50%

5

(5/16) 31%

6

(2/32) 6%

7

(2/64) 3%

8

(4/128) 3%

9

(2/256) 0%

Tot:

(23/510) 4%