Bolivia (Plurinational State of) vs Net Food Importing Developing Countries (NFIDCs): Cattle — Stocks
Cattle — Stocks over time
- Bolivia (Plurinational State of)
- Net Food Importing Developing Countries (NFIDCs)
How they compare
Net Food Importing Developing Countries (NFIDCs) currently reports 257.51 million LSU against 7.77 million LSU in Bolivia (Plurinational State of), a difference of 249.74 million LSU.
That makes Net Food Importing Developing Countries (NFIDCs)'s figure about 33.1 times Bolivia (Plurinational State of)'s.
Across all 63 years both countries report, Net Food Importing Developing Countries (NFIDCs) has been ahead every year.
Bolivia (Plurinational State of) ranks 7th and Net Food Importing Developing Countries (NFIDCs) ranks 5th of 20 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 | Bolivia (Plurinational State of) | Net Food Importing Developing Countries (NFIDCs) | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 1.42 million LSU | 104.20 million LSU | 102.78 million LSU | Net Food Importing Developing Countries (NFIDCs) |
| 1970s | 2.24 million LSU | 117.99 million LSU | 115.75 million LSU | Net Food Importing Developing Countries (NFIDCs) |
| 1980s | 3.59 million LSU | 128.58 million LSU | 124.99 million LSU | Net Food Importing Developing Countries (NFIDCs) |
| 1990s | 4.00 million LSU | 144.23 million LSU | 140.23 million LSU | Net Food Importing Developing Countries (NFIDCs) |
| 2000s | 5.04 million LSU | 176.28 million LSU | 171.24 million LSU | Net Food Importing Developing Countries (NFIDCs) |
| 2010s | 6.27 million LSU | 222.21 million LSU | 215.94 million LSU | Net Food Importing Developing Countries (NFIDCs) |
| 2020s | 7.41 million LSU | 251.57 million LSU | 244.16 million LSU | Net Food Importing Developing Countries (NFIDCs) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cattle — stocks, Bolivia (Plurinational State of) or Net Food Importing Developing Countries (NFIDCs)?
- Net Food Importing Developing Countries (NFIDCs), at 257.51 million LSU against 7.77 million LSU in Bolivia (Plurinational State of) as of 2023.
- What is the difference in cattle — stocks between Bolivia (Plurinational State of) and Net Food Importing Developing Countries (NFIDCs)?
- 249.74 million LSU, with Net Food Importing Developing Countries (NFIDCs) ahead.
- How many years of comparable data are there for Bolivia (Plurinational State of) and Net Food Importing Developing Countries (NFIDCs)?
- 63 years are reported by both, from 1961 to 2023.
- How do Bolivia (Plurinational State of) and Net Food Importing Developing Countries (NFIDCs) rank globally for cattle — stocks?
- Bolivia (Plurinational State of) ranks 7th and Net Food Importing Developing Countries (NFIDCs) ranks 5th of 20 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cattle — Stocks. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
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.