Companies in Picton, Canada

List of companies in Picton, Ontario: find addresses, phone numbers, email, social networks, photos, customer reviews and more.

Last reviews about companies in Picton, Canada

  •  
    scythegal Added 2017-08-18
    wow, what a place to stay, cottage was really clean and staff are super nice and helpful. view was beautiful and grounds are well kept. definitely wil...
    Feedback on Bayside Cottages

Weather in Picton (Ontario)

2024-04-16

2024-04-16 07:00 10:00 13:00 16:00 19:00 22:00
 
Temperature 4 6 10 11 7 6
Pressure hPa 1018 hPa 1019 hPa 1021 hPa 1022 hPa 1022 hPa 1025 hPa
Humidity % 89 % 77 % 60 % 52 % 67 % 77 %
Wind speed m/s 4 m/s 2 m/s 4 m/s 4 m/s 1 m/s 4 m/s

2024-04-17

2024-04-17 01:00 04:00 07:00 10:00 13:00 16:00 19:00 22:00
 
Temperature 4 3 3 6 8 9 7 6
Pressure hPa 1024 hPa 1024 hPa 1024 hPa 1022 hPa 1019 hPa 1015 hPa 1015 hPa 1013 hPa
Humidity % 77 % 77 % 74 % 63 % 60 % 63 % 89 % 90 %
Wind speed m/s 5 m/s 5 m/s 7 m/s 8 m/s 7 m/s 7 m/s 7 m/s 7 m/s

2024-04-18

2024-04-18 01:00 04:00 07:00 10:00 13:00 16:00 19:00 22:00
 
Temperature 7 7 8 8 8 8 7 8
Pressure hPa 1011 hPa 1009 hPa 1010 hPa 1011 hPa 1014 hPa 1014 hPa 1015 hPa 1015 hPa
Humidity % 97 % 97 % 98 % 98 % 95 % 93 % 97 % 95 %
Wind speed m/s 8 m/s 8 m/s 9 m/s 6 m/s 5 m/s 4 m/s 3 m/s 3 m/s

Popular companies in Picton

Share this page

Types of companies in Canada

1SELECT * FROM `locality` WHERE url = 'picton-on' LIMIT 1
1SELECT * FROM `region` WHERE id = 176 LIMIT 1
4SELECT * FROM `item` WHERE `locality_id` = 17065 ORDER BY count_views LIMIT 12
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('17065') LIMIT 1
1SELECT * FROM `photos` WHERE `item_id` IN ('6921','96230','22233','11344','31607','11350','11375','296740','120584','6994','298845')
1SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('6921','96230','22233','11344','31607','11350','11375','296740','120584','6994','298845')
0SELECT * FROM `category` WHERE id IN ('96','108','110','106','107','99','167','162','133') LIMIT 9
2SELECT * FROM `reviews` WHERE `status` = 1 AND `locality_id` = 17065 AND `date` < '2024-04-16 12:35:06' ORDER BY `date` DESC LIMIT 3
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('17065') LIMIT 1
0SELECT * FROM `item` WHERE id IN ('296740') LIMIT 1
2SELECT locality_id, category_id FROM `category_item` WHERE locality_id = 17065 GROUP BY locality_id, category_id
0SELECT * FROM `category` WHERE `id` IN ('96','99','106','107','108','110','133','162','167') ORDER BY name
1SELECT * FROM counts where updated="2024-04-16" and table_name like 'news'
0SELECT * FROM counts where updated="2024-04-16" and table_name like 'news'
1SELECT * FROM `category` ORDER BY name
3SELECT * FROM `item` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `item`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 4
0SELECT * FROM `region` WHERE id IN ('172','178') LIMIT 2
0SELECT * FROM `locality` WHERE id IN ('15781','17777','15879') LIMIT 3
0SELECT * FROM `photos` WHERE `item_id` IN ('69446','69447','69448','69449')
1SELECT * FROM `locality` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `locality`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 7
0SELECT * FROM `region` WHERE id IN ('168') LIMIT 1