NUMBEO

Food Prices in Brazil

Recommended Minimum Amount of Money for food (2400 calories, Western food types)

Milk (regular), (0.25 liter) 0.71 R$
Loaf of Fresh White Bread (125.00 g) 1.20 R$
Rice (white), (0.10 kg) 0.34 R$
Eggs (2.40) 1.00 R$
Local Cheese (0.10 kg) 2.22 R$
Chicken Breasts (Boneless, Skinless), (0.15 kg) 1.77 R$
Beef Round (0.15 kg) (or Equivalent Back Leg Red Meat) 3.52 R$
Apples (0.30 kg) 1.77 R$
Banana (0.25 kg) 0.93 R$
Oranges (0.30 kg) 1.02 R$
Tomato (0.20 kg) 1.18 R$
Potato (0.20 kg) 0.81 R$
Onion (0.10 kg) 0.44 R$
Lettuce (0.20 head) 0.48 R$
Daily recommended minimum amount of money for food per person17.39 R$
Monthly recommended minimum amount of money for food per person
(assuming 31 days per month)
539.15 R$

Recommended Minimum Amount of Money for food (2400 calories, Asian food types)

Loaf of Fresh White Bread (50.00 g) 0.48 R$
Rice (white), (0.25 kg) 0.85 R$
Eggs (2.40) 1.00 R$
Chicken Breasts (Boneless, Skinless), (0.20 kg) 2.35 R$
Beef Round (0.10 kg) (or Equivalent Back Leg Red Meat) 2.35 R$
Apples (0.25 kg) 1.48 R$
Banana (0.25 kg) 0.93 R$
Oranges (0.15 kg) 0.51 R$
Tomato (0.20 kg) 1.18 R$
Potato (0.20 kg) 0.81 R$
Onion (0.10 kg) 0.44 R$
Lettuce (0.10 head) 0.24 R$
Daily recommended minimum amount of money for food per person12.63 R$
Monthly recommended minimum amount of money for food per person
(assuming 31 days per month)
391.44 R$

Food prices from our Cost of Living Section

[ Edit ] Avg. Range
Milk (regular), (1 liter) 2.83 R$ 2.30-3.50
Loaf of Fresh White Bread (500g) 4.79 R$ 3.50-6.00
Rice (white), (1kg) 3.41 R$ 2.50-5.00
Eggs (12) 5.00 R$ 4.00-6.00
Local Cheese (1kg) 22.17 R$ 15.00-30.00
Chicken Breasts (Boneless, Skinless), (1kg) 11.77 R$ 9.00-15.00
Beef Round (1kg) (or Equivalent Back Leg Red Meat) 23.47 R$ 18.00-30.00
Apples (1kg) 5.90 R$ 4.00-8.00
Banana (1kg) 3.73 R$ 2.80-5.00
Oranges (1kg) 3.42 R$ 2.00-5.00
Tomato (1kg) 5.88 R$ 4.00-8.00
Potato (1kg) 4.07 R$ 3.00-5.99
Onion (1kg) 4.42 R$ 3.00-6.34
Lettuce (1 head) 2.42 R$ 1.90-3.00


Last update: May, 2016 Our data for each country are based on all entries from all cities in that country.

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