All types
 
Français

Tim Hortons

Establishment, food, cafe and bakery at 27585 Ontario 401, Bainsville, ON K0C 1E0, Canada. Here you will find detailed information about Tim Hortons: address, phone, fax, opening hours, customer reviews, photos, directions and more.

Contacts

Price level:
Inexpensive

Categories:
Establishment   Food   Cafe   Bakery  

Address:
27585 Ontario 401
Bainsville
Ontario K0C 1E0
Canada
Get directions

Phone:
+1 613-347-9939

Website:
timhortons.com

Opening hours

Sunday 07:00am — 11:00pm
Monday 07:00am — 11:00pm
Tuesday 07:00am — 11:00pm
Wednesday 07:00am — 11:00pm
Thursday 07:00am — 11:00pm
Friday 07:00am — 11:00pm
Saturday 07:00am — 11:00pm

Photos

Tim Hortons

Reviews of Tim Hortons

Sorry, but now we haven't any revews about Tim Hortons.

Add review

About timhortons.com

Tim Hortons Language Selector

Share this page

Additional actions

Today's weather in Bainsville

22:00 9 ℃ 1030 hPa 43 % 3 m/s

Nearest places

1SELECT * FROM `item` WHERE url = 'tim-hortons-1382' LIMIT 1
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('16457') LIMIT 1
0SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('26605')
0SELECT * FROM `category` WHERE id IN ('96','99','155','158') LIMIT 4
0SELECT * FROM `locality` WHERE url = 'bainsville-on' LIMIT 1
0SELECT * FROM `region` WHERE id = 176 LIMIT 1
1SELECT * FROM `reviews` WHERE `status` = 1 AND `item_id` = 26605 AND `date` < '2024-04-27 11:45:06' ORDER BY `date` DESC
0SELECT * FROM `photos` WHERE `item_id` IN ('26605')
1SELECT * FROM `item` WHERE id IN ('26559','26634','450107','26663','26579','26411') LIMIT 6
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('16457','16851') LIMIT 2
0SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('26411','26559','26579','26634','26663','450107')
0SELECT * FROM `category` WHERE id IN ('96','110','151','97','127','159','99','122') LIMIT 8
0SELECT * FROM counts where updated="2024-04-27" and table_name like 'news'
0SELECT * FROM counts where updated="2024-04-27" 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 ('179') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('18630') LIMIT 1
0SELECT * FROM `photos` WHERE `item_id` IN ('164135','164136','164137','164138')
0SELECT * 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