Abstract

Côte d'Ivoire has just carried out its third agricultural census called Census of Farmers and Agricultural Holdings i.e. Recensement des Exploitants et Exploitations Agricoles (REEA) 2015/2016. The special feature of this census is the exhaustive and systematic survey of all the farms in the country, agricultural households, rural villages, professional agricultural or livestock organisations (OPA/OPE) and modern farms in the country using new technologies. The method CAPI (computer-assisted personal interview) coupled with contact details using the Global Positioning System (GPS) have made it possible to carry out this census. The implementation of the REEA followed the modular approach recommended by the World Programme for the Census of Agriculture (PMRA) 2010.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as an economic unit of agricultural production under single management, comprising all land used wholly or partly for agricultural production and all livestock kept, without regard to title, legal form or size. The following types of agricultural holdings were covered in the census: (i) family farm ("agricultural household") (ii) crop/livestock production organization (OPA/OPE).

Rural villages were statistical units for the community survey conducted together with the REEA.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census Although a modular approach was planned for conducting the REEA, only the core census module comprising the agricultural households and the OPA/OPE were implemented, because of budget constraints. A community survey was implemented along with the core module.

ii. Frame A listing operation was conducted during census enumeration to identify the agricultural households. The EA maps from the Population and Housing Census (PHC) 2014 were used for this operation. For the frame of the OPA/OPE and modern agricultural holdings, different sources were used: information available at the National Institute of Statistics (NIS), and information provided by the regional directorates of the ministries involved in the REEA. In addition, local administrations provided a list of new modern agricultural holdings.

iii. Complete and/or sample enumeration methods The core module was conducted on a complete enumeration basis.

iv. Sample design Not applied

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The collection of data was done using electronic questionnaires. Specific questionnaires were administered for the REEA 2015/2016:

(i) a core module questionnaire for family farms; (ii) an OPA/OPE questionnaire; (iii) a community survey questionnaire.

The census questionnaires covered all 16 core items recommended in the WCA 2010, namely;

0001 Identification and location of agricultural holding 0002+ Legal status of agricultural holder 0003 Sex of agricultural holder 0004 Age of agricultural holder 0005 Household size 0006 Main purpose of production of the holding 0007 Area of holding according to land use types 0008 Total area of holding 0009 Land tenure types on the holding 0010 Presence of irrigation on the holding 0011 Types of temporary crops on the holding 0012 Types of permanent crops on the holding and whether in compact plantation 0013 Number of animals on the holding for each livestock type 0014 Presence of aquaculture on the holding 0015+ Presence of forest and other wooded land on the holding 0016 Other economic production activities of the holding's enterprise

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING Two modes of data transmission were adopted under the REEA: (i) the routing of data via the Internet (specifically, via Dropbox) and (ii) physical transmission (on hard disk, USB key and paper supports). The data processing plan covered the following aspects: (i) equipment preparation; (ii) file clearance; (iii) data validation; and (iv) tabulation. Computer processing was done centrally, in Abidjan. The software used to process the REEA data was CSPro version 6.1. The clearance phase was an iterative process of cleaning up the database and producing clean files. To ensure undistorted data after clearance, the tabulation2 was done under CSPro on both versions of the database: with both raw and clean data. The analysis of census results was undertaken from March to April 2017. All data collected and documents produced (reports, methodology, manuals) were archived in a database the administration of which was entrusted to the Directorate of Statistics, Documentation and Informatics (DSDI) of MINAGRI and a backup copy was made.

(b) CENSUS DATA QUALITY Technical arrangements were made at different levels to ensure the quality of field data collection. The first provision was to incorporate consistency checks into the data entry programme for the different questionnaires, to minimize data entry errors, inconsistencies, and incomplete data. Two key programmes were designed and used: the Data Consistency Control Programme and the Team Tracking Programme. The latter programme made it possible to monitor the mobility of teams in the field.

Abstract

The main purpose of the Agricultural Census (AC) is to provide benchmark information on the agriculture industry for small geographic areas. Furthermore, it is designed to support decision making and analysis by a wide variety of stakeholders across government, industry, the research sector and wider community by providing comprehensive high quality agricultural commodity production and activity data (including area and production for crops and area irrigated, number of livestock and number of producers for each commodity) at low levels of geographic disaggregation. The AC also enables updates to core statistical infrastructure as well as being the major source of commodity data used in the calculation of Value of Agricultural Commodities Produced (VACP), which is used as an input to the Australian National Accounts. Outputs from the AC include statistics on land and water use, crop and horticultural area and production, livestock numbers and farm management and demographic information undertaken by businesses in Australia, while data is produced at national, state, and sub-state levels.

Geographic coverage

The AC 2015/2016 covered the entire territory of Australia.

Analysis unit

Agricultural holdings

Universe

The statistical unit for the AC 2015/2016, was a "business", identified by its Australian Business Number (ABN), and a geographic split was applied for ABNs operating over multiple locations. Units were identified as undertaking agricultural activity if any of the primary or secondary productive activities of those businesses fall within the Agriculture Subdivision (Subdivision 01), as defined by the 2006 edition of the Australian and New Zealand Standard Industrial Classification (ANZSIC).

The coverage of the AC 2015/2016 included all businesses undertaking agricultural activity recorded on the ABS Business Register with size above the cut-off of AUD 40 000. The measure of size was based on the Australian Bureau of Statistics (ABS) estimated Value of Agricultural Operations (EVAO). Note that for previous ABS Rural Environment and Agricultural Collections a scope of EVAO of $5,000 or greater was used. The change in scope better aligns this collection with contemporary definitions of an agricultural business and reduces the overall reporting load for smaller agricultural businesses.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The AC 2015/2016 was conducted through complete enumeration of agricultural businesses listed on the ABS Business Register (ABSBR) that met the cut-off threshold.

The frame used for the AC 2015/2016 was drawn from the ABSBR, which is based on the Australian Business Register (ABR). Businesses and organizations are included on the ABR when they register with the Australian Taxation Office for an Australian Business Number (ABN). The ABSBR has been used for ABS agricultural collections since 2005/2006.

Mode of data collection

Computer Assisted Web Interview (CAWI)

Research instrument

Data was collected using one single questionnaire. The AC 2015/2016 covered 13 out of the 23 essential items recommended in the WCA 2020.

Cleaning operations

Final estimates from the AC 2015/2016 were not revised as a result of any reconciliation processes.

DATA PROCESSING NOTES The ABS distributed statistical processing activities across specialist processing and support areas located in a number of Australian state offices of the ABS. Paper questionnaires were processed using optical character recognition (OCR) to extract data. Whereas, direct data capture was ensured by the CAWI method.

A range of SAS-based tools (programs, projects and code) was used to interrogate estimates and identify anomalies, either at the unit (micro) or estimate (macro) level. Editing of unit-level data was undertaken via the Blaise/Editors Tool Kit (ETK). ABS imputation and estimation processes used SAS-based projects (software) with ABS-developed interfaces allowing for setup and operations.

Abstract

The implementation of the Fifth General Census of Agriculture 2015 i.e. Recenseamento Geral da Agricultura (RGA-2015) is a the country's national priority in agricultural statistics. It falls within the National Strategy for the Development of Statistics 2012-2016 i.e. Estratégia Nacional de Desenvolvimento das Estatísticas (ENDE). It also takes into account the recommendations of the FAO, an entity of the UN System United Nations coordinator for agricultural statistics. The CA process will follow the FAO methodological framework (FAO, WCA 2010), which consists of a collection of the structural data of the agricultural sector which will serve as the sampling frame, being exhaustive and representative at the level of the municipalities. The aim of the CA 2015 is to provide an effective and efficient response to the needs of data on agricultural statistics which will make it possible to make available statistical information for the monitoring of national policy, the respect of the national and international commitments and the satisfaction of the needs of the different users. For these objectives to be achieved, it is necessary that there is a broad awareness and participation of the population and organisation at all levels.

Geographic coverage

National coverage

Analysis unit

Households

Universe

• The statistical unit was the agricultural holding, defined as an economic unit of agricultural production under single management, comprising all land used wholly or partly for agricultural production and all livestock kept, without regard to title, legal form or size.

• The agricultural holdings in both the household sector and the non-household sector were covered by the CA.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census A modular approach was adopted for conducting the CA. The core module was implemented in 2015. The supplementary modules (on "rain-fed crop production" and "food security") were implemented in 2017 and 2018 respectively.

ii. Frame The listing operation to identify the agricultural holdings was conducted during the census enumeration. The core module provided the frame for the follow-up supplementary modules.

iii. Sample design A two-stage sampling design was used for supplementary modules. The EAs were the PSUs and the households were the SSUs.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two types of questionnaires were used for the core module, for the holdings in:

(i) the household sector

(ii) the non-household sector

Other two questionnaires (on "rain-fed crop production" and "food security") were used for the supplementary modules conducted in 2017-2018. The CA questionnaires covered 15 of the 16 core items4 recommended for the WCA 2010 round. All questionnaires are attached to external documents.

Cleaning operations

i. ENTRY A computer application was developed by the INS for data collection and processing. Core census module data were processed by the INS, in collaboration with the MAA and transmitted for tabulation and dissemination to the MAA.

i. CENSUS DATA QUALITY Quality checks were conducted by supervisors to assess the enumerators' work and to ensure the quality of census data. Consistency checks were incorporated into the data entry program to minimize data entry errors, inconsistencies and incomplete data. The use of CAPI enabled monitoring the mobility of the enumerators in the field.

This dataset presents final estimates of the local values of agricultural commodities produced in Australia by Statistical Area Level 2 (SA2) from the Value of Agricultural Commodities Produced …Show full descriptionThis dataset presents final estimates of the local values of agricultural commodities produced in Australia by Statistical Area Level 2 (SA2) from the Value of Agricultural Commodities Produced (VACP) collection derived from the Agriculture Census of 2015-2016. Categories included in VACP are statistics on gross and local values of crops, livestock disposals and livestock products. Local values are calculated by subtracting transport and marketing costs from the gross value. Data is aggregated to 2011 ASGS SA2 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 7503.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the dataWhere data was not published or not applicable the records have been set to null Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2016): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset presents final estimates of the local values of agricultural commodities produced in Australia by Statistical Area Level 4 (SA4) from the Value of Agricultural Commodities Produced (VACP) collection derived from the Agriculture Census of 2015-2016. Categories included in VACP are statistics on gross and local values of crops, livestock disposals and livestock products. Local values are calculated by subtracting transport and marketing costs from the gross value. Data is aggregated to 2011 ASGS SA4 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 7503.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data Where data was not published or not applicable the records have been set to null

This dataset presents final estimates of the gross values of agricultural commodities produced in Australia by Statistical Area Level 4 (SA4) from the Value of Agricultural Commodities Produced …Show full descriptionThis dataset presents final estimates of the gross values of agricultural commodities produced in Australia by Statistical Area Level 4 (SA4) from the Value of Agricultural Commodities Produced (VACP) collection derived from the Agriculture Census of 2015-2016. Categories included in VACP are statistics on gross and local values of crops, livestock disposals and livestock products. Data is aggregated to 2011 ASGS SA4 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 7503.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the dataWhere data was not published or not applicable the records have been set to null Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2016): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset presents final estimates for the water usage of agricultural businesses in Australia by Statistical Area Level 2 (SA2) from the 2015-16 Agricultural Census. Categories included are …Show full descriptionThis dataset presents final estimates for the water usage of agricultural businesses in Australia by Statistical Area Level 2 (SA2) from the 2015-16 Agricultural Census. Categories included are statistics on water use, water sources, irrigation expenditure and irrigation methods. Data is aggregated to 2011 ASGS SA2 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 4618.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the dataWhere data was not published or not applicable the records have been set to null Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2016): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

Abstract

The Census of Agriculture investigates information on agricultural establishments and agricultural activities developed inside them, including characteristics of the producers and establishments, economy and employment in the rural area, livestock, cropping and agribusiness. Its data collection unit is every production unit dedicated, either entirely or partially, to agricultural, forest or aquaculture activities, subordinated to a single administration – producer or administrator –, regardless of its size, legal nature or location, aiming at producing either for living or sales.

The first Census of Agriculture dates back to 1920, and it was conducted as part of the General Census. It did not take place in the 1930s due to reasons of political and institutional nature. From 1940 onward, the survey was decennial up to 1970 and quinquennial later on, taking place in the beginning of the years ending in 1 and 6 and relating to the years ending in 0 and 5. In the 1995-1996 Census of Agriculture, the information was related to the crop year (August 1995 to July 1996). In the 2006 Census of Agriculture, the reference for the data returned to be the calendar year. The 2006 edition was characterized both by the technological innovation introduced in the field operation, in which the paper questionnaire was replaced by the electronic questionnaire developed in Personal Digital Assistants - PDAs and by the methodological refinement, particularly concerning the redesign of its contents and incorporation of new concepts. That edition also implemented the National Address List for Statistical Purposes - Cnefe, which gathers the detailed description of the addresses of housing units and agricultural establishments, geographic coordinates of every housing unit and establishment (agricultural, religious, education, health and other) in the rural area, bringing subsidies for the planning of future IBGE surveys. The 2017 Census of Agriculture returned to reference the crop year – October 2016 to September 2017 –, though in a different period than that adopted in the 1995-1996 Census of Agriculture. New technologies were introduced in the 2017 survey to control the data collection, like: previous address list, use of satellite images in the PDAs to better locate the enumerator in relation to the terrain, and use of coordinates of the address and location where the questionnaire is open, which allowed a better coverage and assessment of the work.

The survey provides information on the total agricultural establishments; total area of those establishments; characteristics of the producers; characteristics of the establishments (use of electricity, agricultural practices, use of fertilization, use of agrotoxins, use of organic farming, land use, existence of water resources, existence of warehouses and silos, existence of tractors, machinery and agricultural implements, and vehicles, among other aspects); employed personnel; financial transactions; livestock (inventories and animal production); aquaculture and forestry (silviculture, forestry, floriculture, horticulture, permanent crops, temporary crops and rural agribusiness).

The periodicity of the survey is quinquennial, though the surveys in 1990, 1995, 2000 and 2005, 2010 and 2015 were not carried out due to budget restrictions from the government; the 1990 Census of Agriculture did not take place; the 1995 survey was carried out in 1996 together with the Population Counting; the 2000 survey did not take place; that of 2005 was carried out in 2007, together with the Population Counting once again; that of 2010 did not take place and that of 2015 was carried out in 2017. Its geographic coverage is national, with results disclosed for Brazil, Major Regions, Federation Units, Mesoregions, Microregions and Municipalities. The results of the 2006 Census of Agriculture, which has the calendar year as the reference period, are not strictly comparable with those from the 1995-1996 Census of Agriculture and 2017 Census of Agriculture, whose reference period is the crop year in both cases.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as any production unit dedicated wholly or partially to agricultural, forestry and aquaculture activities, subject to a single management, with the objective of producing for sale or subsistence, regardless of size, legal form (own, partnership, lease, etc.) or location (rural or urban). The agricultural holdings were classified according to the legal status of the producer as: individual holder, condominium, consortium or partnership; cooperative; incorporated or limited liability company; public utility institutions (church, NGO, hospital), or government.

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Frame The 2000 Population and Housing Census and the cartographic documentation constituted the source of the AC 2006 frame. No list frames were available in digital media with georeferenced addresses of the holdings. Census coverage was ensured on the basis of the canvassing of the EAs by enumerators.

(b) Complete and/or sample enumeration methods The AC 2006 was a complete enumeration operation of all agricultural holdings in the country.

Mode of data collection

Face-to-face [f2f]

Research instrument

An electronic questionnaire was used for data collection on:

Total agricultural establishments Total area of agricultural establishments Total area of crops Area of pastures Area of woodlands Total tractors Implements Machinery and vehicles Characteristics of the establishment and of the producer Total staff employed Total cattle, buffallo, goats, Sheep, pigs, poultry (chickens, fowls, chickens and chicks) Other birds (ducks, geese, teals, turkeys, quails, ostriches, partridges, pheasants and others) Plant production

The AC 2006 covered all 16 items recommended by FAO under the WCA 2010.

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING The entire data collection and supervision software was developed in house by IBGE, using the Visual Studio platform in the Microsoft Operations Manager 2005 environment and Microsoft SQL Server 2000, with the assistance of Microsoft Brazil consulting. In addition, the GEOPAD application was installed to view, navigate and view maps and use GPS guidance. Updated versions of the software were installed automatically as soon as census enumerators connected the PDAs to the central server to transmit the data collected. Once internally validated by the device, the data were immediately transmitted to the database at the IBGE state unit. The previous AC (1996) served as the basis for defining the parameter values for the electronic editing process.

(b) CENSUS DATA QUALITY Automatic validation was incorporated into PDAs. Previously programmed skip patterns and real-time edits, performed during enumeration, ensured faster and more reliable interviews. In addition, the Bluetooth® technology incorporated into the PDAs allowed for direct data transmission to IBGE's central mainframe by each of enumerators on a weekly basis.

Data appraisal

The preliminary census results were published in 2007. The final results were released in 2009 through a printed volume and CD-ROMs. The census results were disseminated at the national and subnational scope (country, state and municipality) and are available online at IBGE's website.

This dataset presents counts of businesses involved in the production of agricultural commodities, in Australia by Statistical Area Level 2 (SA4), from the 2015-2016 Agricultural Census. Data is …Show full descriptionThis dataset presents counts of businesses involved in the production of agricultural commodities, in Australia by Statistical Area Level 2 (SA4), from the 2015-2016 Agricultural Census. Data is aggregated to 2011 ASGS SA4 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 7121.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the dataWhere data was not published or not applicable the records have been set to null Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2016): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset presents the Estimated Value of Agricultural Operations in Australia by Statistical Area Level 2 (SA2), from the 2015-2016 Agricultural Census. Data is aggregated to 2011 ASGS SA2 …Show full descriptionThis dataset presents the Estimated Value of Agricultural Operations in Australia by Statistical Area Level 2 (SA2), from the 2015-2016 Agricultural Census. Data is aggregated to 2011 ASGS SA2 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 7121.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the dataWhere data was not published or not applicable the records have been set to null Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2016): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset presents the management and demographics of farms in Australia by Statistical Area Level 4 (SA4), from the 2015-2016 Agricultural Census. Data is aggregated to 2011 ASGS SA4 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 7121.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data Where data was not published or not applicable the records have been set to null

This dataset presents final estimates for the water usage of agricultural businesses in Australia by Statistical Area Level 4 (SA4) from the 2015-16 Agricultural Census. Categories included are statistics on water use, water sources, irrigation expenditure and irrigation methods. Data is aggregated to 2011 ASGS SA4 boundaries. The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data. This data is ABS data (catalogue number: 4618.0) used with permission from the Australian Bureau of Statistics. For more information on the dataset please visit the Australian Bureau of Statistics. Please note: Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data Where data was not published or not applicable the records have been set to null

Abstract

Geostat conducted Census of Agriculture 2014 in accordance with the World Programme of Agricultural Censuses 2006-2015 recommended by the Food and Agriculture Organization (FAO). The census was based on the FAO methodology. Statistics experts of FAO and the United States Department of Agriculture (USDA) were actively engaged at every stage of the census process. At the first stage, in November 2014, together with Population Census there was conducted Census of Agriculture for households. In addition to this, in spring 2015 there was conducted Census of Agriculture for legal entities. As a result, the census covered all agricultural holdings in the country (on the territory controlled by the Government of Georgia) – all households and legal entities, who, as of October 1, 2014, were owning or temporarily operating agricultural land, livestock, poultry, beehive or permanent crop (agricultural), regardless the fact whether there was produced any kind of agricultural product or not during the reference year. The census provided diverse information about agriculture of Georgia such is structure and use of land operated by holdings, livestock, poultry and beehive numbers.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The main statistical unit was the agricultural holding, defined as an economic unit engaged in agricultural production under single management without regard to size and legal status. An economic unit that operates agricultural land or permanent crop trees, but that during the reference year has no agricultural production, is also considered an agricultural holding. As the AC 2014 data collection for the agricultural holdings in the household sector was carried out jointly with the GPC, the common statistical unit was the agricultural production household. Two types of agricultural holdings were distinguished: family holdings and agricultural enterprises.

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Frame In 2013, Geostat conducted preliminary fieldwork to establish the list of dwellings and households existing in Georgia. The information received from the preliminary fieldwork was used to update and finalize the census frame for data collection. For agricultural enterprises, to ensure full coverage of the list of potential agricultural enterprises, all existing reliable sources in the country were used.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire was used for the AC 2014 data collection, in both paper and electronic format covering:

• Household roster
• Number of Holdings
• Structure of the Land Operated by Holdings
• Agricultural Land and Its Use
• Arable Land
• Permanent Crops
• Orchards
• Vineyards
• Livestock and Poultry

The AC 2014 questionnaire covered 15 of the 16 core items recommended for the WCA 2010 round. The following item was not covered: "Other economic production activities of the holding's enterprise".

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING For several months after the census enumeration, approximately 300 people worked on the digitalization of census data. They were permanently supervised by IT and other technical staff. In parallel, digitized questionnaires were compared with paper questionnaires by editors. Finally, data were cleaned by the appropriate division at the central office of Geostat. The data cleaning process used several methods. Data relating to large holdings were verified by telephone calls. In addition, different reliable sources (registers) were used to fill in missing data. Furthermore, donor imputation was used to fill in the missing values. For tabulation, a special software was prepared by Geostat. Geostat implemented a microdata archiving system to save the census data.

(b) CENSUS DATA QUALITY Geostat conducted a PES to assess the quality of the AC. During the fieldwork, Geostat used a six-level control system, which involved the following categories of census staff: field work coordinator, regional coordinator, municipal supervisor, sector supervisor, instructor-coordinator and enumerator.

Census of Agriculture, 1981 to 2016. Farms classified by total gross farm receipts in 2015 constant dollars.

This dataset presents the Estimated Value of Agricultural Operations in Australia by Statistical Area Level 4 (SA4), from the 2015-2016 Agricultural Census. Data is aggregated to 2011 ASGS SA4 boundaries.

The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses.

The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data.

This data is ABS data (catalogue number: 7121.0) used with permission from the Australian Bureau of Statistics.

For more information on the dataset please visit the Australian Bureau of Statistics.

Please note:

• Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data

• Where data was not published or not applicable the records have been set to null

Abstract

The Agricultural Sector is an important economic sector in terms of production of food, raw materials as well as creation of employment. The type of farming practiced in Lesotho is primarily subsistence. The 2009/2010 sample Agricultural Census was conducted as part of FAO 2010 World Census of Agriculture. While BOS undertakes annual Agricultural Production Surveys (APS) in addition to the decennial censuses, the latter is more comprehensive in coverage. For instance, the APS does not cover structural variables that do not change rapidly over time, such as household characteristics and farm structure.

The main objective of the 2009/2010 Agricultural Census is to provide information which will be used to monitor achievements in the implementation of key priority indicators of Lesotho as articulated in the Poverty Reduction Strategy (PRS). Of particular interest, will be monitoring of the area of improving agricultural production and food security. Data collected from the Agricultural Census will provide information on progress in the implementation of strategies designed to attain these indicators. Census of agriculture is one of the largest national statistical studies undertaken by BOS. Its use as a source of data will be taken into consideration for monitoring the agricultural related Millennium Development Goals (MDGs) No: 2; Eradicating Extreme Poverty and Hunger as well as MDG No: 7; Ensuring Environmental Sustainability. Furthermore, the 2009/2010 Agricultural Census will be the third held in the MDGs reference period (1990–2015); the first was conducted in 1989/1990.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as "an economic unit of agricultural production under single management comprising all livestock kept and all land used wholly or partly for own account agricultural production purposes, without regard to title, legal form, or size". The AC covered the holdings in the household sector ("agricultural households") only.

Kind of data

Census/enumeration data [cen]

Sampling procedure

A stratified multi-stage sampling scheme was adopted for the selection of the sample for the census. In the first stage, Primary Sampling Units were selected from an area frame of Enumeration Areas (EAs), which were demarcated by Cartography and Survey Methodology Division during the preparation of 2006 Population and Housing Census. Construction of PSU sample frame was done by merging two or more adjacent enumeration areas. PSUs were selected with Probability Proportional to Size (PPS), where the number of households as of 2006 Population and Housing census in the PSUs was considered as the Measure of Size (MOS). About 120 PSUs in rural areas that covered 2,292 households were selected. Individual agricultural holdings (farming households) constituted Secondary Sampling Units (SSUs) for estimation of land use, crop areas and livestock population. In each PSU, about 27 agricultural households were selected through systematic sampling from a list frame of all agricultural households. For estimation of both summer and winter crops yields, 10 fields under specific crops and two sub-plots for sample crop cutting in each selected field, form the Third and Ultimate Sampling Units respectively. Institutions, prisons, schools and projects that were within the selected PSUs automatically qualified for data collection.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of questionnaire were used for the AC 2009/2010, for holdings in the household sector in:

(i) rural areas

(ii) urban areas

The questionnaires for rural areas included eleven forms. The AC 2009/2010 questionnaires used for rural households were: Form AC-1 "Rural household listing", Form AC-2 "Rural household members", Form AC-3 "Area measurement", Form AC-4 "Field listing by crop", Form AC-5 "Operation and costs", Form AC-6 "Crop failure and pre-harvest losses", Form AC-7 "Crop cutting"; Form AC-8 "Farmer's yield estimate", Form AC-9 Availability and utilization of cereals in the household", Form AC-10 "Livestock inventory" and Form AC-11 "Structural information".

Those for urban areas contained six forms. These included one form for listing the agricultural holders in the selected PSUs. In addition, a community questionnaire was designed for the community survey. The AC questionnaires covered 13 of the 16 core items recommended for the WCA 2010.( The following core items were not covered by the AC: (i) "Land tenure types on the holding"; (ii) "Presence of aquaculture on the holding"; and (iii) "Other economic production activities of the holding's enterprise".)

All questionnaires are attached to the external materials section.

Cleaning operations

1. DATA PROCESSING AND ARCHIVING Manual data entry was used for the AC data on the Access screen. Tabulation and analysis were done with SPSS and Microsoft Excel. Editing (such as range and consistency edits) was done manually. The estimation of standard errors (SE), the coefficient of variation (CV), the confidence interval (CI) and the design effect (DEFF) was performed using WesVar.

2. CENSUS DATA QUALITY To minimize non-sampling errors, intensive training of enumerators and sensitization of respondents was undertaken.

Data appraisal

As stipulated in the Statistics Act of 2001, one of BOS functions is to conduct the Agricultural Census. Planning, organization, data collection, data processing, analysis and tabulation as well as administration and financial responsibility remained with the Bureau of Statistics. However FAO provided technical assistance for tabulation plan. About 120 trained enumerators carried out the fieldwork under the supervision of field officers. Each enumerator was in charge of one PSU, while one Senior Field Officer was supervising data collection under the supervision of Statistician from BOS Headquarters within each district. Data was retrieved from the field to BOS headquarters. It was then processed and analyzed according to tabulation plan.

This table contains data on land use, arable farming, horticulture, grassland, grazing livestock and housed animals, at regional level, by general farm type. The figures in this table are derived from the agricultural census. Data collection for the agricultural census is part of a combined data collection for a.o. agricultural policy use and enforcement of the manure law. Regional breakdown is based on the main location of the holding. Due to this the region where activities (crops, animals) are allocated may differ from the location where these activities actually occur. The agricultural census is also used as the basis for the European Farm Structure Survey (FSS). Data from the agricultural census do not fully coincide with the FSS. In the FSS years (2000, 2003, 2005, 2007 and 2010) additional information was collected to meet the requirements of the FSS. Reference date for livestock is 1 April and for crops 15 May. Since 2016, information of the Dutch Business Register is used to define the agricultural census. Registration in the Business Register with an agricultural standard industrial classification code (SIC), related to NACE/ISIC, (in Dutch SBI: ‘Standaard BedrijfsIndeling’) is leading to determine whether there is an agricultural holding. This aligns the agricultural census as closely as possible to the statistical regulations of Eurostat and the (Dutch) implementation of the definition of 'active farmer' as described in the common agricultural policy. The definition of the agricultural census based on information from the Dutch Business Register mainly affects the number of holdings, a clear deviation of the trend occurs. The impact on areas (except for other land and rough grazing) and the number of animals (except for sheep, and horses and ponies) is limited. This is mainly due to the holdings that are excluded as a result of the new delimitation of agricultural holdings (such as equestrian centres, city farms and organisations in nature management). Until 2010 the economic size of agricultural holdings was expressed in Dutch size units (in Dutch NGE: 'Nederlandse Grootte Eenheid'). From 2010 onwards this has become Standard Output (SO). This means that the threshold for holdings in the agricultural census has changed from 3 NGE to 3000 euro SO. For comparable time series the figures for 2000 up to and including 2009 have been recalculated, based on SO coefficients and SO typology. The latest update took place in 2016. In 2011 there were changes in geographic assignment of holdings with a foreign main seat. This may influence regional figures, mainly in border regions. Data available from: 2000 Status of the figures: the figures are definite. Changes as of 21 March 2018: for reference year 2015 the totals for the area arable land and horticulture in the open were calculated incorrectly; this is corrected. When will new figures be published? According to regular planning provisional figures for the current year are published in November; definite figures follow 3 months later.

Abstract

Agricultural sector is the main economic sector of Ethiopia. To monitor and evaluate this sector, Agricultural Sample Survey (AgSS) has been conducted every year by CSA. The general objective of the AgSS is to collect basic quantitative information on the country's agricultural land that is essential for planning, policy formulation, and food security. The AgSS is composed of four components: Crop Production Forecast, "Meher" Season, "Belg" Season and Livestock Survey.

The specific objectives: • "Meher" season (Land Utilization): to estimate the total cultivated area and other forms of land use • "Belg" season: to generate basic quantitative information on crop cultivated area, production and yield of major crops, and the use of different farm management practices

Geographic coverage

The annual Agricultural Sample Survey covered the entire rural parts of the country except the non-sedentary population of three zones of Afar and six zones of Somali regions

Analysis unit

Agricultural household/ Holder/ Crop

Universe

The survey covered agricultural households in the sample selected regions.

Kind of data

Sample survey data [ssd]

Sampling procedure

The list of Enumeration Areas (EAs) was obtained from the 2007 Population and Housing Census. From the list of the EAs, a set of sampled EAs were selected based on the sample design proposed for the survey. Once the selection of the sampled EAs was accomplished, a fresh list of households within each selected EA was carried out. The list of agricultural households in each EA was used as a sampling frame from which the agricultural households were finally selected as sources of data.

A stratified two-stage cluster sample design was implemented. Enumeration areas were the primary sampling units (PSUs) whereas the agricultural households were the Secondary Sampling Units (SSUs). The sample size for the 2015/16 agricultural sample survey was determined by considering both the required level of precision for the most important estimates within each domain and the amount of resources allocated to the survey. Except for Harari, and Dire Dawa, each region was taken to be the domain of estimation. Each zone of the regions / special "woredas" was adopted as a stratum for which major findings of the survey were reported.

Enumeration areas from each stratum were selected systematically using a probability proportional to size sampling technique; size being the number of agricultural households. From the fresh list of households prepared at the beginning of the survey, 30 agricultural households within each sampled EA were selected systematically.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2014-15 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. The following forms were used to collect the survey data: - Form AgSS 2007/0 - Form AgSS 2007/1 - Form AgSS 2007/2A - Form AgSS 2007/2B - Form AgSS 2007/4 - Form AgSS 2007/5 - Form AgSS 2007/8

Cleaning operations

Statistical data editing plays a key role in ensuring the quality of the collected survey data. It minimizes the effects of errors introduced while collecting data in the field. Coding and editing were done by the enumerators and supervisors in the field and final verification of these task was done at the Head Office.

The completed questionnaires were edited, coded and later verified on a 100% basis before the questionnaires were passed over to the data entry unit.

The data entry application was developed using CSPro software and the data entry task was done at the branch and head office.

Sampling error estimates

Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are provided in the final reports

Abstract

The main objective of the Seasonal Agriculture Survey (SAS) 2015, was to provide timely, accurate, credible and comprehensive agricultural statistics that would not only describe the structure of agriculture in Rwanda in terms of land use, crop production and livestock and could be used for food and agriculture policy formulation and planning, but also which could also be used for the compilation of national accounts statistics.

In this regard, the National Institute of Statistics of Rwanda (NISR) conducted the Seasonal Agriculture Survey (SAS) from November 2015 to October 2016 to gather up-to-date information for monitoring progress on agriculture programs and policies in Rwanda, including the Second Economic Development (SED) and Poverty Reduction Strategy (EDPRS II) and Vision 2020. This 2016 RSAS covered three agricultural seasons (A, B and C) and provides data on background characteristics of the agricultural operators, farm characteristics (area, yield and production), agricultural practices, agricultural equipment's, use of crop production by agricultural operators and by large scale farmers.

Geographic coverage

National coverage

Analysis unit

This seasonal agriculture survey focused on the following units of analysis: - Agricultural operators and large scale farmers

Universe

The SAS 2016 targeted agricultural operators and large scale farmers operating in Rwanda.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Seasonal Agriculture Survey (SAS) sample was composed of two categories of respondents: agricultural operators1 and large-scale farmers (LSF).

For the 2016 SAS, NISR used as the sampling method a dual frame sampling design combining selected area frame sample3 segments and a list of large-scale farmers. NISR used also imagery from RNRA with a very high resolution of 25 centimeters to divide the total land of the country into twelve strata. A total number of 540 segments were spread throughout the country as coverage of the survey with 25,346 and 23,286 agricultural operators in Season A and Season B respectively. From these numbers of agricultural operators, sub-samples were selected during the second phases of Seasons A and B.

It is important to note that in each of agricultural season A and B, data collection was undertaken in two phases. Phase I was mainly used to collect data on demographic and social characteristics of interviewees, area under crops, crops planted, rainfall, livestock, etc. Phase II was mainly devoted to the collection of data on yield and production of crops.

Phase I serves at collecting data on area under different types of crops in the screening process, whereas the Phase II is mainly devoted to the collection of data on demographic, social characteristics of interviewees, together with yields of the different crops produced. Enumerated large-scale farmers (LSF) were 558 in both 2015 Season A and B. The LSF were engaged in either crop farming activities only, livestock farming activities only, or both crop and livestock farming activities. Agricultural operators are the small-scale farmers within the sample segments. Every selected segment was firstly screened using the appropriate materials such as the segment maps, GIS devices and the screening form. Using these devices, the enumerators accounted for every plot inside the sample segments. All Tracts6 were classified as either agricultural (cultivated land, pasture, and fallow land) or non-agricultural land (water, forests, roads, rocky and bare soils, and buildings). During Phase I, a complete enumeration of all farmers having agricultural land and operating within the 540 selected segments was undertaken and a total of 25,495 and 24,911 agricultural operators were enumerated respectively in Seasons A and B. Season C considered only 152 segments, involving 3,445 agricultural operators.

In phase II, 50% of the large-scale farmers were undertaking crop farming activities only and 50% of the large-scale farmers were undertaking both crop and livestock farming and were selected for interview. A sample of 199 and 194 large-scale farmers were interviewed in Seasons A and B, respectively, using a farm questionnaire. From the agricultural operators enumerated in the sample segments during Phase I, a sample of the agricultural operators was designed for Phase II as follows: 5,502 for Season A, 5,337 for Season B and 644 for Season C. The method of probability proportional to size (PPS) sampling at the national level was used. Furthermore, the total number of enumerated large-scale farmers was 774 in 2016 Season A and 622 in Season B.

The Season C considered 152 segments counting 8,987 agricultural operators from which 963 agricultural operators were selected for survey interviews.

Mode of data collection

Face-to-face [f2f]

Research instrument

There were two types of questionnaires used for this survey namely; Screening Questionnaire and Farm Questionnaires. A Screening Questionnaire was used to collect information that enabled identification of an agricultural operator or large scale farmer and his or her land use.

Farm questionnaires were of two types: a) Phase I: Farm Questionnaire, this survey was used to collect data on characteristics of agricultural operators, crop identification and area, inputs (seeds, fertilizers, labor) for agricultural operators and large scale farmers. b) Phase 2: Farm Questionnaire was used in the collection of data on crop production and use of production.

It is important to mention that all these farm questionnaires were subjected to two/three rounds of data quality checking. The first round was conducted by the enumerator and the second round was conducted by the team leader to check if questionnaires had been well completed by enumerators.

For season C, after screening, an interview was conducted for each selected tract/agricultural operator using one consolidated Farm Questionnaire. All the survey questionnaires used were published in both English and Kinyarwanda languages.

Cleaning operations

Data editing took place at different stage. Firstly, the filled questionnaires were repatriated at NISR for office editing and coding before data entry started. Data entry of the completed and checked questionnaires was undertaken at the NISR office by 20 staff trained in using the CSPro software. To ensure appropriate matching of data in the completed questionnaires and plot area measurements from the GIS unit, a "lookup" file was integrated in the CSPro data entry program to confirm the identification of each agricultural operator or LSF before starting data entry. Thereafter, data were entered in computers, edited and summarized in tables using SPSS and Excel.

Response rate

The response rate for Seasonal Agriculture Survey is 98%.

Data appraisal

All Farm questionnaires were subjected to two/three rounds of data quality checking. The first round was conducted by the enumerator and the second round was conducted by the team leader to check if questionnaires had been well completed by enumerators. And in most cases, questionnaires completed by one enumerator were peer-reviewed by another enumerator before being checked by the Team leader.

Overview
Australia's Agricultural Industries 2017 map provides a snapshot of agriculture's status and trend. It shows where Australia's broad agricultural land uses are located and statistics on their area and land tenure. The map reports on the top 5 livestock, crop and horticulture commodities based on gross value of production. Trends in agricultural production, employment and exports are also given including for Australia's top 5 export commodities and destinations.

The map presents information in a simple and easy to understand manner and provides a useful resource for planning and regional development.

This map replaces the 2016 map with updated agricultural and employment data.

Key Issues

• The map presents published data of current status and historical trends from ABARES and the Australian Bureau of Statistics on a single page. A change in scope of the agricultural census 2015-16 data has impacted on commodity data, particularly with some horticultural commodities. • This map complements ABARES Australia's Forestry Industry 2017 map.