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

This dataset was created from the results of a livestock census of 2,128 smallholder farmers within two districts of Nepal (Nuwakot and Dhading). This data was collected in March 2017. This dataset includes the date surveyed, the district, village and ward number of the smallholder, and the number of livestock owned by the smallholder (buffalo, cattle, goat, sheep, yak, pig, equid, rabbit, chickens, and duck). This dataset was collected through the research of the project “Empowerment of Village Women for Detection and Control of Livestock Diseases in Nepal” lead by Colorado State University as part of the Feed the Future Innovation Lab for Livestock Systems.

The Livestock dataset contains four variables which provide census data for Cattle, Hogs, Horses (horses, donkeys and camels), and Sheep (sheep and goats). These census data are based on 1990 statistics.

See the references for the sources of these data.

China County Data collection contains seven datasets which were compiled in the early 1990s for use as inputs to the DNDC (Denitrification-Decomposition) model at UNH. DNDC is a computer simulation model for predicting carbon (C) and nitrogen (N) biogeochemistry in agricultural ecosystems. The datasets were compiled from multiple Chinese sources and all are at the county scale for 1990. The datasets which comprise this collection are listed below.

1) Agricultural Management 2) Crops 3) N-Deposition 4) Geography and Population 5) Land Use 6) Livestock 7) Soil Properties

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 Bihar in the year 2019

National livestock census results by district, UCA 2008

The Livestock Census started in the country in the year 1919. So far, 20 livestock censuses have been conducted. Livestock Census is a complete count of the livestock and poultry at pre-defined reference point of time. Similar to population census, primary workers are engaged to undertake house to house enumeration and ascertain the number, age, sex, etc., of livestock/poultry possessed by every household/household enterprise/non-household/non-household enterprises and institutions in rural & urban areas of the country. For the first time tablet computers were used for conduct of 20th livestock census.This layer contains state-wise count of animals from 20th livestock census. Following animal's count are captured based on their sex:BuffaloSheepGoatPigThis map layer is offered by Esri India, for ArcGIS Online subscribers. If you have any question or comments, please let us know via content@esri.in.

This dataset provides livestock data for US Counties within the contiguous US. Census data of cattle, poultry (fowl), hogs, horses and sheep are provided. These data are estimated counts for 1990 based on an average of 1987 and 1992 census data from US Dept. of Agriculture (USDA) Natural Resources Conservation Service (NRCS) and the US Census Bureau.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

US County Data Datasets:

1) Agricultural Management 2) Crop Data (NASS Crop data) 3) Crop Summary (NASS Crop data) 4) Geography and Population 5) Land Use 6) Livestock Populations 7) Soil Properties

Álava Cattle Census by species and municipality (evolution 2012-2023)

Abstract

The programme for the World Census of Agriculture 2000 is the eighth in the series for promoting a global approach to agricultural census taking. The first and second programmes were sponsored by the International Institute for Agriculture (IITA) in 1930 and 1940. Subsequent ones up to 1990 were promoted by the Food and Agriculture Organization of the United Nations(FAO). FAO recommends that each country should conduct at least one agricultural census in each census programme decade and its programme for the World Census of Agriculture 2000 for instance corresponds to agricultural census to be undertaken during the decade 1996 to 2005. Many countries do not have sufficient resources for conducting an agricultural census. It therefore became an acceptable practice since 1960 to conduct agricultural census on sample basis for those countries lacking the resources required for a complete enumeration.

In Nigeria's case, a combination of complete enumeration and sample enumeration is adopted whereby the rural (peasant) holdings are covered on sample basis while the modern holdings are covered on complete enumeration. The project named “National Agricultural Sample Census” derives from this practice. Nigeria through the National Agricultural Sample Census (NASC) participated in the 1970's, 1980's, 1990's programmes of the World Census of Agriculture. Nigeria failed to conduct the Agricultural Census in 2003/2004 because of lack of funding. The NBS regular annual agriculture surveys since 1996 had been epileptic and many years of backlog of data set are still unprocessed. The baseline agricultural data is yet to be updated while the annual regular surveys suffered set back. There is an urgent need by the governments (Federal, State, LGA), sector agencies, FAO and other International Organizations to come together to undertake the agricultural census exercise which is long overdue. The conduct of 2006/2008 National Agricultural Sample Census Survey is now on course with the pilot exercise carried out in the third quarter of 2007.

The National Agricultural Sample Census (NASC) 2006/08 is imperative to the strengthening of the weak agricultural data in Nigeria. The project is phased into three sub-projects for ease of implementation; the Pilot Survey, Modern Agricultural Holding and the Main Census. It commenced in the third quarter of 2006 and to terminate in the first quarter of 2008. The pilot survey was implemented collaboratively by National Bureau of Statistics.

The main objective of the pilot survey was to test the adequacy of the survey instruments, equipments and administration of questionnaires, data processing arrangement and report writing. The pilot survey conducted in July 2007 covered the two NBS survey system-the National Integrated Survey of Households (NISH) and National Integrated Survey of Establishment (NISE). The survey instruments were designed to be applied using the two survey systems while the use of Geographic Positioning System (GPS) was introduced as additional new tool for implementing the project.

The Stakeholders workshop held at Kaduna on 21st-23rd May 2007 was one of the initial bench marks for the take off of the pilot survey. The pilot survey implementation started with the first level training (training of trainers) at the NBS headquarters between 13th - 15th June 2007. The second level training for all levels of field personnels was implemented at headquarters of the twelve (12) concerned states between 2nd - 6th July 2007. The field work of the pilot survey commenced on the 9th July and ended on the 13th of July 07. The IMPS and SPSS were the statistical packages used to develop the data entry programme.

Geographic coverage

State

Analysis unit

Households who are rearing livestock or kept poultry

Universe

Livestock or poultry household

Kind of data

Census/enumeration data [cen]

Sampling procedure

The survey was carried out in 12 states falling under 6 geo-political zones. 2 states were covered in each geo-political zone. 2 local government areas per selected state were studied. 2 Rural enumeration areas per local government area were covered and 3 Livestock/poultry farming housing units were systematically selected and canvassed.

Sampling deviation

No Deviation

Mode of data collection

Face-to-face [f2f]

Research instrument

The NASC livestock and poultry questionnaire was divided into the following sections: - Identification/description of holdings - Funds, employment and earnings/wages - Livestock - Poultry - Fixed assets - Sales - Stock - Subsidy

Cleaning operations

The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and CSPro for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise. The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data. The completed questionnaires were collected and edited manually (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry (b) Cspro was used to design the data entry template provided as external resource (c) Ten operator plus two suppervissor and two progammer were used (d) Ten machines were used for data entry (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd

Response rate

The response rate at EA level was 100 percent, while 99.3 percent was recorded at housing units level.

Sampling error estimates

No computation of sampling error

Data appraisal

The Quality Control measures were carried out during the survey, essentially to ensure quality of data. There were two levels of supervision involving the supervisors at the first level, NBS State Officers and Zonal Controllers at second level and finally the NBS Headquarters staff constituting the second level supervision.

Abstract

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

Geographic coverage

National coverage

Analysis unit

• Households

Universe

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.

Kind of data

Census/enumeration data [cen]

Sampling procedure

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.

Mode of data collection

Face-to-face [f2f]

Research instrument

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.

Cleaning operations

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.

Response rate

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.

Sampling error estimates

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.

Census data on agriculture and animal husbandry in Greece, for the year 1999. Among other things, it includes holdings and number of animals, areas by type of crop, etc., per prefecture of the country

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 Madhya Pradesh in the year 2019

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 Maharashtra in the year 2019

Department of Animal Husbandry and Dairying, Ministry of Fisheries, Animal Husbandry and Dairying - Donkeys, Rabbit and Dogs and Elephants (18th livestock census) | gimi9.com

Census of Agriculture, 1921 to date. Selected livestock and poultry.

The users can get data on details of Cattle, Buffalo, Sheep, Goat, Horse, Pony, Mule, Donkey, Camel and Pig in Rural and Urban combined at State level. Livestock census covers the census of livestock, poultry, implements and machinery used for livestock rearing. It is the only source for providing various kind of detailed information for these groups. Livestock Census conducted in every five years.

Get data on details of Cattle, Buffalo, Sheep, Goat, Horse, Pony, Mule, Donkey, Camel and Pig in Rural and Urban combined at State and District level. 20th Livestock census covers the census of livestock, poultry, implements and machinery used for livestock rearing. It is the only source for providing various kind of detailed information for these groups. Livestock Census conducted in every five years in India. India has largest livestock numbers in the world.

🇮🇳 인도

Get data on details of Cattle by Age, Sex and Use in Rural and Urban combined. Cattle means Bulls, bullocks, cows, calves, male and female buffaloes and buffalo calves. Exotic Animals: Animals which are developed in other countries are described as exotic animals. The most important exotic dairy cattle breeds in India are Jersey and Holstein Friesian (HF). Cross-bred Animals: Animals which are produced by crossing indigenous animals with exotic breeds or indigenous animals which have exotic inheritance are described as crossbred animals. Indigenous Animals: Animals which belongs to descript/non-descript breeds of indigenous origin. Livestock census actually covers the census of livestock, poultry, implements and machinery used for livestock rearing. It is the only source for providing various kind of detailed information for these groups. Livestock Census conducted in every five years in India. India has largest livestock numbers in the world.

Get data on details of Camels by Age and Sex in Rural and Urban combined. Livestock census actually covers the census of livestock, poultry, implements and machinery used for livestock rearing. It is the only source for providing various kind of detailed information for these groups. Livestock Census conducted in every five years in India. India has largest livestock numbers in the world.