Goats — Stocks in Equatorial Guinea
Equatorial Guinea: Goats — Stocks was 995.2 LSU in 2023. ▲ Rising
Goats — Stocks in Equatorial Guinea, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
The most recent figure for goats — stocks in Equatorial Guinea is 995.2 LSU, measured in 2023. That is the highest value across all 63 years on record.
Compared with earlier readings it is up 0.6% on the previous year and up 4.8% over ten years.
Over the whole period, goats — stocks in Equatorial Guinea peaked at 995.2 LSU in 2023 and was at its lowest, 510 LSU, in 1961.
Equatorial Guinea ranks 171st of 199 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 63 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 616.67 LSU | 510 LSU | 800 LSU | 9 |
| 1970s | 717 LSU | 700 LSU | 800 LSU | 10 |
| 1980s | 745 LSU | 720 LSU | 770 LSU | 10 |
| 1990s | 826 LSU | 780 LSU | 880 LSU | 10 |
| 2000s | 903 LSU | 890 LSU | 910 LSU | 10 |
| 2010s | 946.82 LSU | 920 LSU | 967.9 LSU | 10 |
| 2020s | 986.88 LSU | 978.7 LSU | 995.2 LSU | 4 |
Countries ranked near Equatorial Guinea
- 168 Belgium-Luxembourg 1,300 LSU compare
- 169 Saint Vincent and the Grenadines 1,081 LSU compare
- 170 Latvia 1,034 LSU compare
- 172 Dominica 970.6 LSU compare
- 173 Saint Kitts and Nevis 957.8 LSU compare
- 174 Ireland 924 LSU compare
More environment data for Equatorial Guinea
- Land area equipped for irrigation — Share in Cropland 1.63 % (2024)
- Land area equipped for irrigation — Area 1.49 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 0.18 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 5.09 % (2024)
- Permanent meadows and pastures — Area 4.92 1000 ha (2024)
- Permanent crops — Share in Agricultural land 40.03 % (2024)
- Permanent crops — Area 38.67 1000 ha (2024)
- Arable land — Share in Agricultural land 54.87 % (2024)
- Arable land — Area 53 1000 ha (2024)
- Cropland — Area per capita 0.05 ha/cap (2024)
Frequently asked questions
- What is goats — stocks in Equatorial Guinea?
- Goats — stocks in Equatorial Guinea was 995.2 LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest goats — stocks recorded in Equatorial Guinea?
- The highest recorded value was 995.2 LSU in 2023.
- What is the lowest goats — stocks recorded in Equatorial Guinea?
- The lowest recorded value was 510 LSU in 1961.
- How does Equatorial Guinea rank for goats — stocks?
- Equatorial Guinea ranks 171st out of 199 countries with data for 2023.
- Is goats — stocks rising or falling in Equatorial Guinea?
- Over the last ten years it is up 4.8%. The long-run trend across the full record is rising.
- Where does this Equatorial Guinea data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Goats — Stocks. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.