Brazil vs Net Food Importing Developing Countries (NFIDCs): Chickens β€” Stocks

Brazil
15.78 million LSU
in 2023
Net Food Importing Developing Countries (NFIDCs)
49.79 million LSU
in 2023
Brazil rank
6th
Net Food Importing Developing Countries (NFIDCs) rank
6th

Chickens β€” Stocks over time

  • Brazil
  • Net Food Importing Developing Countries (NFIDCs)
010.0M20.0M30.0M40.0M50.0M196119922023

How they compare

Net Food Importing Developing Countries (NFIDCs) currently reports 49.79 million LSU against 15.78 million LSU in Brazil, a difference of 34.02 million LSU.

That makes Net Food Importing Developing Countries (NFIDCs)'s figure about 3.2 times Brazil's.

Across all 63 years both countries report, Net Food Importing Developing Countries (NFIDCs) has been ahead every year.

Brazil ranks 6th and Net Food Importing Developing Countries (NFIDCs) ranks 6th of 209 countries.

Net Food Importing Developing Countries (NFIDCs) has averaged higher in every one of the 7 decades both report.

Head to head by decade

Decade Brazil Net Food Importing Developing Countries (NFIDCs) Difference Ahead
1960s 1.61 million LSU 3.83 million LSU 2.22 million LSU Net Food Importing Developing Countries (NFIDCs)
1970s 2.93 million LSU 5.79 million LSU 2.86 million LSU Net Food Importing Developing Countries (NFIDCs)
1980s 4.80 million LSU 8.61 million LSU 3.81 million LSU Net Food Importing Developing Countries (NFIDCs)
1990s 6.90 million LSU 13.71 million LSU 6.81 million LSU Net Food Importing Developing Countries (NFIDCs)
2000s 10.04 million LSU 21.23 million LSU 11.19 million LSU Net Food Importing Developing Countries (NFIDCs)
2010s 13.34 million LSU 34.11 million LSU 20.77 million LSU Net Food Importing Developing Countries (NFIDCs)
2020s 15.38 million LSU 46.31 million LSU 30.93 million LSU Net Food Importing Developing Countries (NFIDCs)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher chickens β€” stocks, Brazil or Net Food Importing Developing Countries (NFIDCs)?
Net Food Importing Developing Countries (NFIDCs), at 49.79 million LSU against 15.78 million LSU in Brazil as of 2023.
What is the difference in chickens β€” stocks between Brazil and Net Food Importing Developing Countries (NFIDCs)?
34.02 million LSU, with Net Food Importing Developing Countries (NFIDCs) ahead.
How many years of comparable data are there for Brazil and Net Food Importing Developing Countries (NFIDCs)?
63 years are reported by both, from 1961 to 2023.
How do Brazil and Net Food Importing Developing Countries (NFIDCs) rank globally for chickens β€” stocks?
Brazil ranks 6th and Net Food Importing Developing Countries (NFIDCs) ranks 6th of 209 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Chickens β€” Stocks. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Chickens β€” Stocks
Unit
LSU
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
244 places, 13,956 data points, 1961–2023
Last refreshed

The Livestock Patterns domain of FAOSTAT contains data on livestock numbers, shares of major livestock species and densities of livestock units in the agricultural land area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961 to the most recent year available with annual updates. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.