Number of Sheep, by County, July 2009

 

Rams Ewes Total Lambs Total Sheep
and Lambs
Brant
50
800
700
1,550
Chatham-Kent
50
600
500
1,150
Elgin
100
2,300
1,900
4,300
Essex
50
1,600
1,900
3,550
Haldimand-Norfolk
200
2,600
2,000
4,800
Hamilton
100
1,500
1,100
2,700
Lambton
150
2,500
2,300
4,950
Middlesex
300
5,400
3,700
9,400
Niagara
150
2,400
1,700
4,250
Oxford
300
4,600
3,400
8,300
Southern Ontario
1,450
24,300
19,200
44,950
Bruce
500
12,000
8,900
21,400
Dufferin
300
5,900
5,900
12,100
Grey
600
13,800
24,300
38,700
Halton
50
1,200
800
2,050
Huron
500
13,600
9,300
23,400
Peel
50
800
600
1,450
Perth
300
4,700
3,700
8,700
Simcoe
550
13,200
7,900
21,650
Waterloo
100
2,300
2,100
4,500
Wellington
400
6,700
6,200
13,300
Western Ontario
3,350
74,200
69,700
147,250
Durham
250
4,400
4,300
8,950
Haliburton
-
200
200
400
Hastings
100
2,100
1,800
4,000
Kawartha Lakes
200
6,100
6,000
12,300
Muskoka
-
300
400
700
Northumberland
100
4,100
3,700
7,900
Parry Sound
50
700
1,000
1,750
Peterborough
150
4,200
4,400
8,750
Prince Edward
100
3,800
3,800
7,700
York
200
3,400
4,400
8,000
Central Ontario
1,150
29,300
30,000
60,450
Frontenac
50
1,100
1,300
2,450
Lanark
100
2,300
2,400
4,800
Leeds and Grenville
150
4,200
4,200
8,550
Lennox and Addington
150
4,100
2,500
6,750
Ottawa
50
2,400
2,300
4,750
Prescott and Russell
50
2,300
1,600
3,950
Renfrew
50
2,700
2,900
5,650
Stormont, Dundas and Glengarry
150
4,200
3,300
7,650
Eastern Ontario
750
23,300
20,500
44,550
Algoma
50
1,100
1,800
2,950
Cochrane
-
100
100
200
Greater Sudbury
-
-
-
-
Kenora
-
100
100
200
Manitoulin
50
400
600
1,050
Nipissing
50
600
600
1,250
Rainy River
-
200
400
600
Sudbury
-
400
500
900
Thunder Bay
-
400
600
1,000
Timiskaming
150
5,600
3,900
9,650
Northern Ontario
300
8,900
8,600
17,800
Ontario
7,000
160,000
148,000
315,000

 

Note: Please note that the figures above are estimates primarily derived from a probability survey conducted by Statistics Canada, in conjunction with other administrative data sources. The probability survey is designed to produce accurate field crop area and yield information for the province as a whole. However, the accuracy of county and district estimates may suffer, particularly when the level of farming activity in a given area is relatively small. Thus, a measure of caution is advised when using sub-provincial estimates.

 

Reference: Statistics Unit, OMAFRA and Statistics Canada


Author:
Bill McGee - Coordinator, Statistics Section/OMAFRA
Last Reviewed: 27 April 2010