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The dataset contains All India compiled data on the quinquennial livestock and poultry population from the year 1956 to 2019. The livestock covered in the dataset include Cattle, Buffaloes, Sheep, Goats, Horses and ponies, Camels, Pigs, Mules, Donkeys, Yaks, etc.
Uttar Pradesh had the highest livestock population across India, at about 67.8 million in 2019. Rajasthan ranked second that year, followed by Madhya Pradesh. Livestock population across the country amounted to nearly 535.8 million, cattle buffaloes and goats making up the largest share.
This publication gives statistics on the number of cattle, sheep and pigs in England at 1 December 2019.
The dataset associated with this publication can be found here.
Next update: see the statistics release calendar
Defra statistics: farming
Email mailto:farming-statistics@defra.gov.uk">farming-statistics@defra.gov.uk
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The dataset contains year-, state-, region- and breed-wise compiled census data on livestock animals such as Bovine, Buffalo, Cattle, Sheep, Goats, Mules, Donkeys, Mithun, Pig, Camels, Horses, Ponies, Yak , etc. and poultry birds such as Cock, Hen, Chicken, Quail, Turkey, Layer, Broiler, Duck, Ducklings, Emu, Ostrich, etc., by their different breeds such as desi, exotic, indigenous, improved, etc., during the period of 2012 to 2019. The dataset also contains separate data on population of stray cattle and dogs
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The dataset contains 20th livestock census compiled data on year-, district-, region-, town-, ward-, block- and village-wise number of cattle, buffaloes, goats, sheeps and pigs in the State of Rajasthan in the year 2019
Cattle made up the largest numbers among livestock in India, amounting to around 193 million in 2019. Goats ranked second, followed by buffaloes. The livestock population grew by 4.8 percent compared to 2012, amounting to 536.76 million in that year.
This publication gives statistics on the number of cattle, sheep and pigs in the UK at 1 December 2019. In the Livestock Population spreadsheet numbers at June are also included for cattle sheep and pigs. Poultry populations are only available for June each year and are incorporated for reference.
The dataset associated with this publication can be found here.
Next update: see the statistics release calendar
Defra statistics: farming
Email mailto:farming-statistics@defra.gov.uk">farming-statistics@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
How many cattle are in the world? The global live cattle population amounted to about 1.57 billion heads in 2023, up from approximately 1.51 million in 2021. Cows as livestock The domestication of cattle began as early as 10,000 to 5,000 years ago. From ancient times up to the present, cattle are bred to provide meat and dairy. Cattle are also employed as draft animals to plow the fields or transport heavy objects. Cattle hide is used for the production of leather, and dung for fuel and agricultural fertilizer. In 2022, India was home to the highest number of milk cows in the world. Cattle farming in the United States Cattle meat such as beef and veal is one of the most widely consumed types of meat across the globe, and is particularly popular in the United States. The United States is the top producer of beef and veal of any country worldwide. In 2021, beef production in the United States reached 12.6 million metric tons. Beef production appears to be following a positive trend in the United States. More than 33.07 million cattle were slaughtered both commercially and in farms annually in the United States in 2019, up from 33 million in the previous year.
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The dataset contains 20th livestock census compiled data on year-, district-, region-, town-, ward-, block- and village-wise number of cattle, buffaloes, goats, sheeps and pigs in the Union Territory of Puducherry in the year 2019
The Uganda Bureau of Statistics conducted the National Livestock Census (NLC) 2021 with an overall goal of providing information on the structure and organization of the livestock sector in Uganda. Specifically, the NLC 2021 provides inter alia a frame for livestock sample surveys; statistics on basic characteristics of livestock, farm infrastructure, farm equipment and machinery as well as aspects of the management of agricultural holdings disaggregated by sex. This information is used as benchmark data to validate and improve the reliability of livestock statistics generated from annual surveys and administrative sources.
The long-term objective of the NLC 2021 was to have information on the structure and organization of the livestock sector in Uganda and more specifically, the census was conducted to: 1. Generate statistics on basic characteristics of livestock, farm infrastructure, farm equipment and machinery; and aspects of the management of agricultural holdings disaggregated by sex. 2. Provide a frame for livestock sample surveys. 3. Provide benchmark data which will be used to validate and improve the reliability of livestock statistics generated from annual surveys and administrative sources. 4. Build national capacity for the development of the livestock sector
National coverage
The NLC 2021 enumerated Household-based farms as well as Private Large Scale and Institutional Farms (PLS&IFs) in all the 135 districts of Uganda as of July 2019.
Census/enumeration data [cen]
Sampling Frame The Sampling Frame that was used to select the EAs in the non-cattle corridor was the 2014 National Population and Housing Census (NPHC 2014). The NPHC 2014 contained an Agricultural Module where a sampling frame was formed for censuses/surveys. About Four (4.3) million out of the 7.5 million households enumerated during the NPHC 2014 reported that one or more of their members engaged in an agricultural activity as of September 2014.
Sample Size The statistical unit of enumeration both in the cattle and non-cattle corridor was the livestock-keeping households. The total number of Enumeration Areas covered during the livestock census was 32,163 of which, 23,443 EAs about 73% were in the 559 SubCounties of the cattle corridor where complete enumeration was undertaken. Only 8,720 EAs, representing 27 percent were sampled from the 961 Sub-counties of the non-cattle corridor districts.
Sample Design A two-stage stratified cluster sampling method was used for selection of Livestock-keeping households. In the non-cattle corridor, the first stage sampling units were the sub-counties that were selected with certainty. The second stage sampling units were the Enumeration Areas (EAs). Where an EA was selected, all livestock-keeping households were enumerated. In the cattle corridor, all EAs in all Sub-counties (in the case of districts), or Divisions (in the case of Municipalities), were covered through a complete enumeration.
Face-to-face [f2f]
The questionnaires for the NLC 2021 were structured questionnaires based on the UNHS and UHIS Model Questionnaires with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household head/holding including sex, age, No. of persons in Housheold, legal status of holding, production systems, livestock populations, and farm infrastructure, equipment and implements, access to veterinary services, land ownership, land tenure systems, ownership of livestock, labour used and sources of water.
All questionnaires and modules are provided as external resources.
Data editing took place at a number of stages throughout the processing, including: a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of Stata data files
Detailed documentation of the editing of data can be found in the "Data Processing Guidelines" document provided as an external resource.
Overall, the NLC 2021 targeted 32,163 EAs and 31,195 EAs were covered constituting a coverage rate of 97 percent. The response rate based on the expected number of households reported in National Population and Housing Census 2014 was 69 percent.
Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the NLC 2021 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.
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The dataset contains 20th livestock census compiled data on year-, district-, region-, town-, ward-, block- and village-wise number of cattle, buffaloes, goats, sheeps and pigs in the State of Uttar Pradesh in the year 2019
West Bengal had the highest cattle population across India, at about 19 million in 2019. Uttar Pradesh ranked second that year, followed by Madhya Pradesh. Cattle population across the country grew by 0.8 percent between 2012 and 2019. Furthermore, livestock population amounted to nearly 535.8 million with cattle, buffaloes and goats making up the largest share.
Arunachal Pradesh had the highest Mithun or Gayal population across India, at more than 350 thousand in 2019. The number of Mithuns across the country grew by 26.6 percent between 2012 and 2019. Livestock population amounted to nearly 535.8 million, however - cattle, buffaloes and goats making up the largest share.
The 2019 Nauru mini census was carried out to update statistics on the population and the socio-economic situation of all persons living in private households in Nauru. Furthermore, the data collected in this census will be used as a sampling frame for future surveys that will be conducted in the country.
National coverage.
Household and Individual.
Census/enumeration data [cen]
Computer Assisted Personal Interview [capi]
The questionnaire was developped in English using the World Bank software called Survey Solutions.
The questionnaire is dividied into 4 main sections which are: - Household ID and Building Type: identification of the household; -Person Roster: questions related to household members (=individual characteristics, education, economic activities, disability); -Agriculture, Fisheries, Livestock and Aquaculture: questions related to these activities by household members; -Household: questions related to dwelling characteristics (=materials used for the dwelling, water storage).
There are also 3 categories that are for the interviewers' use: -Geographic Information + Photo; -Appendices: interviewer instructions and EA categories; -Legend: legend and structure of information in the questionnaire.
This publication gives final estimates of land use, livestock populations and the agricultural workforce for England from the June Survey of Agriculture and Horticulture run by the Department for Environment, Food and Rural Affairs in June 2019.
Information about the users of uses of the June survey of agriculture and horticulture is available https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/654304/structure-juneusers-24oct17.pdf" class="govuk-link">here.
Next update: see the statistics release calendar.
This statistic shows the total value of selected livestock in the United States in 2019. In that year, the total value of cattle came to around 97.75 billion U.S. dollars. Comparatively, the value of chickens came to only about 2.36 billion U.S. dollars that year.
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The dataset contains 20th livestock census compiled data on year-, district-, region-, town-, ward-, block- and village-wise number of cattle, buffaloes, goats, sheeps and pigs in the State of Chhattisgarh in the year 2019
In 2020, Laos had **** million cows. The cow stock in Laos has been increasing consistently since 2015.
This publication gives estimates of crop areas and livestock populations for England from the June Survey of Agriculture and Horticulture run by the Department for Environment, Food and Rural Affairs in June 2019.
Information about the users and uses of the June survey of agriculture and horticulture is available here.
Next update: see the statistics release calendar.
Defra statistics: farming
Email mailto:farming-statistics@defra.gov.uk">farming-statistics@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
This statistic shows the ten U.S. states with the highest inventory of cattle and calves in 2019. In 2019, Nebraska came in second place, where the number stood at around 6.8 million cattle and calves that year.
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The dataset contains All India compiled data on the quinquennial livestock and poultry population from the year 1956 to 2019. The livestock covered in the dataset include Cattle, Buffaloes, Sheep, Goats, Horses and ponies, Camels, Pigs, Mules, Donkeys, Yaks, etc.