Ministry of Agriculture, Food and Rural Affairs

Number of Sheep, by County, July 2007

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	Rams	Ewes	Total Lambs	Total Sheep and Lambs
Brant	50	800	700	1,550
Chatham-Kent	50	700	500	1,250
Elgin	100	2,200	1,800	4,100
Essex	50	1,500	1,800	3,350
Haldimand-Norfolk	200	2,800	2,100	5,100
Hamilton	100	1,600	1,200	2,900
Lambton	150	2,700	2,600	5,450
Middlesex	300	5,900	4,600	10,800
Niagara	150	2,300	1,900	4,350
Oxford	300	4,800	4,200	9,300
Southern Ontario	1,450	25,300	21,400	48,150
Bruce	450	11,000	7,300	18,750
Dufferin	250	5,200	4,800	10,250
Grey	650	14,500	22,600	37,750
Halton	50	900	600	1,550
Huron	450	12,800	7,700	20,950
Peel	50	800	600	1,450
Perth	250	4,400	3,000	7,650
Simcoe	550	12,900	7,200	20,650
Waterloo	100	1,900	1,700	3,700
Wellington	400	6,500	5,200	12,100
Western Ontario	3,200	70,900	60,700	134,800
Durham	300	4,700	3,900	8,900
Haliburton	-	200	200	400
Hastings	100	2,200	1,800	4,100
Kawartha Lakes	300	6,300	5,400	12,000
Muskoka	-	300	400	700
Northumberland	150	4,400	4,100	8,650
Parry Sound	50	800	800	1,650
Peterborough	200	4,400	4,800	9,400
Prince Edward	150	4,000	3,400	7,550
York	250	3,700	4,400	8,350
Central Ontario	1,500	31,000	29,200	61,700
Frontenac	50	1,100	1,300	2,450
Lanark	200	2,300	2,800	5,300
Leeds and Grenville	250	4,800	3,500	8,550
Lennox and Addington	200	4,600	2,900	7,700
Ottawa	150	2,000	2,400	4,550
Prescott and Russell	100	1,900	1,600	3,600
Renfrew	150	3,100	3,300	6,550
Stormont, Dundas and Glengarry	200	4,000	3,500	7,700
Eastern Ontario	1,300	23,800	21,300	46,400
Algoma	50	1,000	1,200	2,250
Cochrane	-	100	100	200
Greater Sudbury	-	-	-	-
Kenora	-	100	100	200
Manitoulin	50	400	400	850
Nipissing	50	500	400	950
Rainy River	-	200	200	400
Sudbury	-	400	300	700
Thunder Bay	-	400	400	800
Timiskaming	200	5,100	2,300	7,600
Northern Ontario	350	8,200	5,400	13,950
Ontario	7,800	159,200	138,000	305,000

Please note that the figures above are estimates derived from a probability survey conducted by Statistics Canada. This survey is designed to produce accurate livestock inventory 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.

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