This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator).

The fourth version of GLW, compared to the previous ones, reflects the most recently compiled and harmonized subnational livestock distribution data and much more detailed metadata.

The layers contain the density of animals per km², with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, goats, pigs and sheep.

All datasets are licensed through a Creative Commons Attribution 4.0 International License.

References

• Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010

• Income Disparities and the Global Distribution of Intensively Farmed Chicken and Pigs

• Using Random Forest to Improve the Downscaling of Global Livestock Census Data

Data publication: 2024-07-15

Supplemental Information:

Unit: head/pixel or birds/pixel

Data type: Float64

No data value: No data

Spatial resolution: Approximately 10km (0.08333 degrees)

Spatial extent: World

Spatial Reference System (SRS): EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)

Contact points:

Resource Contact: Dominik Wisser (FAO-NSAL)

Metadata Contact: Giuseppina Cinardi (FAO-NSAL)

Data lineage:

Recommentations on data representation

The standard lat/long visualisation of the global raster datasets tends to visually over-represent animal densities in pixels located in northern latitudes as they cover a much lower surface on earth than those close to the equator. Thus, altough the data files are distributed in lat/long, we recommend the use of an equal-area projection for a proper representation of densities of our livestock data.

Resource constraints:

Public-use data under the CC BY-NC-SA 3.0 IGO license.

Online resources:

Buffalo: metadata

Chicken: metadata

Cattle: metadata

Goats: metadata

Pigs: metadata

Sheep: metadata

Data for download: All species density

Data for download: Buffalo density

Data for download: Chicken density

Data for download: Cattle density

Data for download: Goats density

Data for download: Pigs density

Data for download: Sheep density

This dataset contains files of ammonia emissions from global chicken agriculture, from chicken housing to land spreading of chicken manure. All files are in netCDF format and can be easily read and processed by Python packages, e.g. Xarray or netCDF4. More details can be read from the files. Please note that these files are to support the paper submitted to the Journal Biogeosciences. Any inquiries go to Jize.Jiang@ed.ac.uk Broiler_file.nc: ammonia emission and volatilisation rate from broiler housing Layer_file.nc: ammonia emission and volatilisation rate from layer housing bc_file.nc: ammonia emission and volatilisation rate from backyard chicken barley NH3.nc: ammonia emission and volatilisation rate from fertilising barley maize NH3.nc: ammonia emission and volatilisation rate from fertilising maize potato NH3.nc: ammonia emission and volatilisation rate from fertilising potato rice NH3.nc: ammonia emission and volatilisation rate from fertilising rice sugarbeet NH3.nc: ammonia emission and volatilisation rate from fertilising sugarbeet wheat NH3.nc: ammonia emission and volatilisation rate from fertilising wheat

Hong Kong Retail Price: Poultry: Live Chicken, Top Grade data was reported at 129.900 HKD/kg in Jun 2018. This records a decrease from the previous number of 130.200 HKD/kg for May 2018. Hong Kong Retail Price: Poultry: Live Chicken, Top Grade data is updated monthly, averaging 35.955 HKD/kg from Feb 1981 (Median) to Jun 2018, with 448 observations. The data reached an all-time high of 141.400 HKD/kg in Feb 2018 and a record low of 18.820 HKD/kg in Apr 1981. Hong Kong Retail Price: Poultry: Live Chicken, Top Grade data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.P003: Average Retail Price: Selected Food Items.

Poultry fell to 8.14 BRL/Kgs on September 26, 2025, down 0.12% from the previous day. Over the past month, Poultry's price has risen 13.21%, and is up 8.10% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Poultry - values, historical data, forecasts and news - updated on September of 2025.

Global Chicken Meat Consumption by Country, 2023 Discover more data with ReportLinker!

Chickens (Gallus gallus domesticus) from the Americas have long been recognized as descendants of European chickens, transported by early Europeans since the fifteenth century. However, in recent years, a possible pre-Columbian introduction of chickens to South America by Polynesian seafarers has also been suggested. Here, we characterize the mitochondrial control region genetic diversity of modern chicken populations from South America and compare this to a worldwide dataset in order to investigate the potential maternal genetic origin of modern-day chicken populations in South America. The genetic analysis of newly generated chicken mitochondrial control region sequences from South America showed that the majority of chickens from the continent belong to mitochondrial haplogroup E. The rest belongs to haplogroups A, B and C, albeit at very low levels. Haplogroup D, a ubiquitous mitochondrial lineage in Island Southeast Asia and on Pacific Islands is not observed in continental South America. Modern-day mainland South American chickens are, therefore, closely allied with European and Asian chickens. Furthermore, we find high levels of genetic contributions from South Asian chickens to those in Europe and South America. Our findings demonstrate that modern-day genetic diversity of mainland South American chickens appear to have clear European and Asian contributions, and less so from Island Southeast Asia and the Pacific Islands. Furthermore, there is also some indication that South Asia has more genetic contribution to European chickens than any other Asian chicken populations.

531 Global export shipment records of Chicken Meat with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Important notes for interpretation

Factors influencing exposure: High mosquito numbers do not always lead to an increase in human arbovirus cases. Other factors, such as weather, human behaviour, and the use of protective measures, can affect the risk of exposure to mosquito-borne viruses.

Trapping locations: Locations on maps reflect the mid-point of sites within a broader location, not exact mosquito trap sites (as some trapping sites are located on private properties).

Seasonal variation: Some locations may consistently experience higher mosquito numbers throughout a season while others may have lower numbers and others may have sudden increases in mosquito numbers at points during the season. There may also be variability in mosquito numbers between seasons.

Positive test results: For mosquito traps, a detection represents the presence of virus in at least one mosquito in a sample of trapped mosquitoes. For sentinel chickens, a positive test result means that one or more chickens in a flock have tested positive for antibodies directed against a particular virus for the first time, suggesting a newly acquired infection. Infection in chickens gives an indication that there is enough virus to transmit to humans.

Gridded Livestock of the World v3 This dataset contains the most up to date version of GLW 3 for the reference year 2010 and the following species: cattle, sheep, goats, buffaloes, horses, pigs, chickens and ducks. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator), and national extent 30 seconds of arc resolution (approx. 1 km at the equator) will be added as they become available. GLW 3 mainly differs from previous GLW versions in that the input data has been improved, the downscaling algorithm has been updated (Random Forest) and much more detailed metadata has been provided. All datasets are licensed through a Creative Commons Attribution 4.0 International License. Animal Density using the dasymetric method (DA). This method assigns different weights to different pixels based on high resolution environmental predictor variables and Random Forest models, and the animal census counts are distributed according to these weights. This layer contains the DA density of animals per pixel, with weight estimated by the Random Forest model. The DA GLW models provide an estimate of how livestock species may be distributed within census areas. However, spatial predictors (e.g. human population density, vegetation indices, topography, etc.) that are used to derived the downscaling weights may introduce some uncontrolled counfonding effects for users willing to quantify the effect of livestock alongside these spatial predictors on an outcome. Similarly, the DA models may introduce circularity for users willing to use livestock data to study their impact on some these spatial factors, such as land-use, for example. Unit : heads/km² Data type: Float64 No data value -9999 Spatial resolution: Approximately 10km (0.08333 degrees) Spatial extent: World Spatial Reference System (SRS): EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)

Global Chicken Meat Consumption Per Capita by Country, 2023 Discover more data with ReportLinker!

Antimicrobial growth promoters (AGPs) are commonly used in broiler production. There is a huge societal concern around their use and their contribution to the proliferation of antimicrobial resistance (AMR) in food-producing animals and dissemination to humans or the environment. However, there is a paucity of comprehensive experimental data on their impact on poultry production and the AMR resistome. Here, we investigated the effect of five antimicrobial growth promoters (virginiamycin, chlortetracycline, bacitracin methyl disalicylate, lincomycin, and tylosin) used in the commercial broiler production in the Indian subcontinent and in the different parts of the world for three consecutive production cycles on performance variables and also the impact on gut bacteria, bacteriophage, and resistome profile using culture-independent approaches. There was no significant effect of AGPs on the cumulative growth or feed efficiency parameters at the end of the production cycles and cumulative mortality rates were also similar across groups. Many antibiotic resistance genes (ARGs) were ubiquitous in the chicken gut irrespective of AGP supplementation. In total, 62 ARGs from 15 antimicrobial classes were detected. Supplementation of AGPs influenced the selection of several classes of ARGs; however, this was not correlated necessarily with genes relevant to the AGP drug class; some AGPs favored the selection of ARGs related to antimicrobials not structurally related to the AGP. AGPs did not impact the gut bacterial community structure, including alpha or beta diversity significantly, with only 16–20 operational taxonomic units (OTUs) of bacteria being altered significantly. However, several AGPs significantly reduced the population density of some of the potential pathogenic genera of bacteria, such as Escherichia coli. Chlortetracycline increased the abundance of Escherichia phage, whereas other AGPs did not influence the abundance of bacteriophage significantly. Considering the evidence that AGPs used in poultry production can select for resistance to more than one class of antimicrobial resistance, and the fact that their effect on performance is not significant, their use needs to be reduced and there is a need to monitor the spread of ARGs in broiler chicken farms.

Crossed beaks have been observed in at least 12 chicken strains around the world, which severely impairs their growth and welfare. To explore the intrinsic factor causing crossed beaks, this study measured the length of bilateral mandibular ramus of affected birds, and investigated the genome-wide DNA methylation profiles of normal and affected sides of mandibular condyle. Results showed that the trait was caused by impaired development of unilateral mandibular ramus, which is extended through calcification of mandibular condyle. The methylation levels in the CG contexts were higher than that of CHG and CHH, with the highest methylation level of gene body region, followed by transcription termination sites and downstream. Subsequently, we identified 1,568 differentially methylated regions and 1,317 differentially methylated genes in CG contexts. Functional annotation analysis of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes showed that these genes were involved in bone mineralization and bone morphogenesis. Furthermore, by combining the WGBS and previous RNA-Seq data, 11 overlapped genes were regulated by both long non-coding RNA and DNA methylation. Among them, FIGNL1 is an important gene in calcification of mandibular condyle. Generally, because the affected genes play key roles in maintaining mandibular calcification, these changes may be pivotal factors of crossed beaks.

CN: CPI: Chicken data was reported at 106.600 Prev Year=100 in Sep 2022. This records an increase from the previous number of 92.000 Prev Year=100 for May 2021. CN: CPI: Chicken data is updated monthly, averaging 91.300 Prev Year=100 from Feb 2019 (Median) to Sep 2022, with 11 observations. The data reached an all-time high of 106.600 Prev Year=100 in Sep 2022 and a record low of 82.200 Prev Year=100 in Dec 2020. CN: CPI: Chicken data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: Same Month PY=100.