Agriculture Census
Sampling Technique
Software Preparation and Digital Infrastructure
Methodology
Publication
Detail of Tables
Agriculture Census
Agriculture Census
The Pakistan Bureau of Statistics (PBS) was established under the General Statistics (Reorganization) Act, 2011, which brought the Agricultural Census Organization (ACO) under its fold. This merger was a strategic move to unify statistical functions and improve the coordination of national data systems.
Functions of the Agriculture Census Wing (ACW)
The Agriculture Census Wing (ACW) within PBS is entrusted with the planning, execution, collection, analysis, and publication of data related to agricultural censuses and associated surveys. It also contributes to tracking progress on agriculture-related Sustainable Development Goals (SDGs).
Traditionally, separate censuses were conducted on a decennial basis as follows:
- Agricultural Census – every 10 years , held in 1960, 1972, 1980, 1990, 2000, 2010.
- Agricultural Machinery Census –held in 1968, 1975, 1984, 1994, 2004.
- Livestock Census – held in 1976, 1986, 1996, 2006
- Mouza (Village) Census – 9 mouza census held till date, latest held in 2020
Three separate types of censuses were conducted in the country due to which enumerators used to visit similar types of households thrice during the course of 10 years, once for each census i.e. Agricultural, Livestock and Machinery Censuses. Under the circumstances, in 7th Governing Council of PBS meeting held on 10th January 2015, it was decided to merge Agricultural, Livestock, and Agricultural Machinery censuses into a single integrated Agricultural Census. This approach would obviatetheneedformultiplevisits,acknowledgingallrelevantinformation to begathered in onego, less efforts at minimum expenditure.
Considering international best practices, PBS shifted to a quinquennial (five-year) cycle and adopted a unified approach. This model consolidates agricultural, livestock, and machinery data collection into a single, integrated operation.
Main Objectives of the Integrated Agricultural Census
- To furnish information about agrarian structure of the country for baseline data for food security and better livelihood of the population
- To provide estimates for livestock population
- Modern arming practices to enhance the productivity
Delays in conduct of the 7th Agricultural Census:
The 7th Agricultural Census, originally due in 2015, was delayed due to multiple critical national statistical priorities. The immediate need to conduct the 6th Population and Housing Census in 2017 took precedence, followed by the necessity to first carry out the Mouza Census held in 2020, which serves as the foundational frame for sampling in agricultural statistics. This was essential for updating and revamping the sampling frame to enable a more efficient and integrated approach for the upcoming census. The delay was further extended by the implementation of the 7th Population and Housing Census in 2022, which was Pakistan’s first-ever digital census. These sequential activities, although necessary, pushed the Agricultural Census timeline forward, eventually culminating in the integrated and digital 7th Agricultural Census 2024–25.
During the Population and Housing Census, the Agricultural Census questionnaire was finalized through a rigorous consultative process led by the Technical Committee, which held multiple sessions to ensure accuracy, relevance, and alignment with national needs. A key milestone in this process was the Technical Committee Meeting held on July 6, 2021, where the structure and content of the questionnaire were finalized.
Questionnaire Development: Experts reviewed and provided feedback on the structure and content of the questionnaire to ensure it captured comprehensive and relevant agricultural data.
7th Agricultural Census “Integrated Digital Count”
Following the Council of Common Interests (CCI) approval of the 7th Population and Housing Census 2023 results in August 2023, the Pakistan Bureau of Statistics (PBS) promptly initiated the long-awaited 7th Integrated Agricultural Census. To ensure smooth coordination and operational readiness, a high-level meeting with focal persons from federal ministries and provincial departments was held on December 20, 2023, focusing on implementation strategies and inter-agency collaboration. Immediately after, PBS launched the pre-planned activities under a cost-effective and innovative sample design, laying the foundation for Digital Counts. The project was rolled out on a war-footing, with multiple parallel operations initiated to meet the ambitious timelines entrusted to PBS.
PBS assigned the counterpart to workable groups with progressive result-oriented improvement day to day. Technical teams for software development, IT infrastructure and Networking, Administration, Logistics, Supportive IT Application, Subject Professionals, Coordination team, report writing, and data dissemination teams has been formulated for promptly disposition of Census activities in due course of time. Besides, formulation of updated questionnaires, Cleaning Check, and imputation rules documentation been framed and tested in the filed by conducting pilot surveys in different blocks of country to avoid the redundancy and inconsistency in collected data.
Contact Information
Former Agricultural Census Organization
Address: Gurumangat Road, Gulberg-III, Lahore, Pakistan
Telephone: +92-42-9263180
FAX: +92-42-9263172
E-Mail: agcensus@yahoo.com
Agricultural Census Commissioner
Address: Agricultural Census Commissioner, Agricultural Census Organization, Gurumangat Road, Gulberg-III, Lahore, Pakistan
Telephone: +92-42-9263180, +92-42-9263181
FAX: +92-42-9263172
E-Mail: agcensus@yahoo.com
Sampling Technique
Sampling Technique
The prime components for composition of agriculture area frame, which include the combine attributes of 7th Population Census and 9th Mouza Census information and then the selection minimum thresholds and cost-effective Census frame to capture the Census representative coverage in sample selection in the country. Hence, 8,997 rural and 2,057 urban combinations of Mouzas/ Dehs and Total 11, 054 Blocks been agreed upon all over provinces in Pakistan conduct the 7th Agricultural Census across Pakistan, including Gilgit-Baltistan and Azad Jammu & Kashmir.
1. INTRODUCTION
Pakistan Bureau of Statistics (PBS) successfully conducted the Integrated Agricultural Census (IAC) by merging three censuses, i.e., Agricultural Census, Livestock Census, and Agriculture Machinery Census. Previously, three separate censuses on Agriculture, Livestock, and Machinery were conducted at different points in time using old sample designs that were distinct and independent of each other. Pakistan has extensive experience in carrying out separate censuses for Agriculture (2010, sample-based), Livestock (2006, sample-based), and Agricultural Machinery (2004, a mixture of complete counting and sample-based detailed interviewing).
The Integrated Agricultural Census, being a merger of all three types of censuses, was conducted in one go under the same logistic operation. Based on discussions between the PBS technical team and an FAO International sampling expert, the sample design of the IAC was developed in 2021. The sample design increases efficiency in targeting the three sub-populations of interest—crop producers, livestock holders, and machinery owners—in a sample-based census. The write-up of the Agricultural Census covers Introduction, Geographical coverage/universe/target population, and elements of the sample design.
2. SCOPE, COVERAGE AND UNIVERSE
2.1 SCOPE
The scope of the census includes the collection of data on the type, size, tenure, and parcels of farms; land utilization; irrigation; area under crops and orchards; number of fruit and non-fruit trees; use of manures, fertilizers, and plant protection measures; use of agricultural machinery; livestock population; loans and their sources; casual and permanent hired agricultural labour; household members by age, sex, qualification, and their contribution towards agriculture; type of residential structure; economic activities of household members; and their main source of income.
2.2 COVERAGE
The Agricultural Census covered the entire country, i.e., Khyber Pakhtunkhwa (KPK), Punjab (including Islamabad District), Sindh, Balochistan, Azad Jammu & Kashmir (AJ&K), and Gilgit-Baltistan (GB), which were covered as separate entities.
2.3 UNIVERSE
The universe of the census consists of all urban and rural areas of Pakistan. Results are representative at the overall district level.
3. SAMPLING FRAME
To prepare the sampling frame of the Agricultural Census (AC), the Mouza Census 2020 was conducted. Each mouza also contains Enumeration Blocks (EBs)/blocks; a mouza may consist of one or more blocks. After the latest Population & Housing Census 2023, the updated information was used in the frame of the Agricultural Census. Therefore, the mapping of the Mouza Census Frame 2020 and P&HC 2023 has been carried out. The latest information of EBs against each mouza of the Mouza Census Frame has been updated. The Mouza Census Frame 2020 was mapped with the updated sampling frame of the 7th Population and Housing Census 2023 for the 7th Agricultural Census 2024. The sampling frame consists of 45,753 mouzas (103,972 rural Enumeration Blocks / PSUs) and 39,985 Urban Enumeration Blocks / PSUs (with agricultural information).
4. SAMPLE SIZE ESTIMATION
Sample size estimation was carried out at the district level using a 15% Margin of Error at a 95% confidence interval. The previous sample size of Agricultural and Livestock Censuses in each district was considered, along with information on cultivated land and livestock concentration based on the Mouza Census 2020. Initially, a sample size of 11,054 mouzas/blocks was estimated; however, it was later enhanced with the addition of 53 mouzas/blocks/Gawala colonies.
5. STRATIFICATION
Various stratification strategies were adopted for the 7th Agricultural Census according to ground realities in Pakistan. First, two strata were identified as already mentioned in frames:
a) National Certainty Holdings (NCH): These are national-level large agricultural holdings or agricultural households (HHs) having at least 100 acres of agricultural land OR 50 cows/buffaloes OR 200 goats/sheep OR 25 camels. These HHs are enumerated on a 100% basis throughout the country.
b) Other Holdings: Comprising agriculture households with holdings below the limits of NCH. These HHs are enumerated through sample selection of Mouzas/blocks and then households.
c) Mouza Certainty Holdings (MCH): Within selected Mouzas/blocks, agriculture HHs with at least 20 acres of agricultural land OR 20 cows/buffaloes OR 50 goats/sheep OR 20 camels. These HHs are enumerated on a 100% basis within the selected Mouza/block.
For selection in stratum (b), further stratification was made across rural and urban areas independently.
6.1 STRATIFICATION IN RURAL AREA
In the sampling frame, rural Mouzas were classified into settled and unsettled areas. A two-way classification was developed based on agricultural information in each Mouza from the Mouza Census Frame 2020:
- Cultivated land in the Mouza
- Livestock concentration in the Mouza
First way stratification:
- Z1: Mouzas without cultivated land
- Z2: Mouzas with cultivated land
Second way stratification (based on livestock concentration):
Four strata are created:
- L1: Mouzas having at least one type of animal in category 4
- L2: Mouzas with category 3 but not category 4 animals
- L3: Mouzas with category 2 but not categories 3 or 4
- L4: Mouzas without livestock
Proportional allocation is used for selecting Mouzas from each stratum.
6.2 STRATIFICATION IN URBAN AREA
PHC 2023 provided PBS with data on agricultural activities in urban areas. This block-level information was used to identify urban blocks with agricultural activities and for block selection in rural areas. Various strata were constituted:
- Stratum 1: 1-9 livestock-rearing households
- Stratum 2: 10+ livestock-rearing households
- Stratum 3: 1-9 households with self-agriculture
- Stratum 4: 10+ households with self-agriculture
- Stratum 5: Blocks without livestock (excluded)
7. ALLOCATION PLAN
A sample of rural Mouzas was proportionally allocated according to the number of Mouzas falling in strata Z1 and Z2, and within Z2, according to strata L1, L2, L3, and L4. In urban areas, stratum 5 was allocated zero blocks due to the absence of agricultural HHs, while the other strata (St-1, St-2, St-3, and St-4) were allocated sample blocks using power allocation with a 0.5 alpha quotient.
8. SAMPLE DESIGN
8.1 First Stage Selection of Rural Mouzas and Urban Blocks:
- Z1 Mouzas: Simple Random Sampling (SRS)
- Z2 Mouzas: Pareto sampling with cultivated area as a measure of size (PPS design)
- Urban Blocks: Simple Random Sampling (SRS); single-stage design
8.2 Second Stage Selection of Blocks from Big Rural Mouzas:
From large Mouzas with two or more blocks (identified through PHC 2023), a single block was selected using Multivariate Probability Proportional to Size (MPPS), with livestock and self-agriculture households as measures of size.
8.3 Third Stage Selection of Households (HHs):
Complete household listings were prepared for selected Mouzas/blocks. Categories of HHs identified:
- NCHs
- MCHs
- HHs with agricultural land (with/without livestock/machinery)
- Livestock-only HHs (with/without machinery)
- Machinery-only HHs
- Nomads and gypsies
HHs in categories i, ii, v, and vi were fully enumerated. For categories iii and iv, HHs were selected using Systematic Random Sampling for detailed interviews.
Software Preparation and Digital Infrastructure
Software Preparation and Digital Infrastructure
To enable the fully digital execution of the 7th Agricultural Census for 2024–25, a robust and comprehensive suite of software solutions was developed to support every phase of the census process from start to finish. These custom-built digital tools were specifically designed to address the unique operational challenges of agricultural data collection and management, ensuring smooth, accurate, and efficient workflows.
Tablet-Based Data Collection Applications:
The core of the digital infrastructure consisted of specialized applications installed on tablets used by field enumerators during both the listing and enumeration phases. These applications were engineered to support real-time data entry directly from the field, eliminating the need for paper forms and subsequent manual data digitization. Key features included:
- Real-time Data Entry: Enumerators input data directly into the tablet interface, which immediately captured responses, speeding up data availability and reducing transcription errors.
- Geotagging: Each data point was automatically tagged with precise GPS coordinates, enabling location verification and spatial analysis of agricultural holdings.
- Automated Validation Checks: Built-in algorithms continuously verified the data for logical consistency, completeness, and correctness at the point of entry. This immediate feedback allowed enumerators to correct errors on the spot, substantially improving data quality.
Monitoring and Quality Control Dashboards:
To complement the data collection apps, interactive dashboards were developed for supervisors and management teams to monitor census progress and maintain quality assurance. These dashboards provided a centralized platform that aggregated and visualized critical operational data, including:
- Live Tracking of Field Activities: Supervisors could view real-time updates on which areas were being surveyed, the number of completed interviews, and the status of ongoing fieldwork.
- Performance Metrics: The dashboards highlighted enumerator productivity and adherence to schedules, helping to identify bottlenecks or underperforming teams.
- Data Quality Indicators: Automatic flags and summary statistics alerted management to anomalies, missing data, or inconsistencies requiring follow-up.
Through this integrated digital ecosystem, the census operations benefited from:
- Enhanced Data Accuracy: Immediate validation and geotagging drastically reduced errors and improved the reliability of collected information.
- Operational Efficiency: Digitization eliminated redundant manual steps, accelerated data processing, and optimized resource allocation.
- Transparency and Accountability: Centralized oversight and continuous feedback loops allowed for timely interventions, fostering a culture of accountability across all levels of field operations.
Administrative Modules:
Tablet-based data collection applications provide indispensable functionalities, including geo- tagging and systematic household listing, ensuring seamless offline and online operations with auto-sync capabilities. The integration of satellite imagery enhances data precision, while stringent edit checks uphold the integrity of collected information.
Given the vast scope, urgency, and complexity of census activities, effective management presents significant challenges. A comprehensive digital solution is essential for streamlined implementation, control, and oversight. To facilitate this, all administrative functions are systematically structured within specialized modules, including:
- Mobile Device Management (MDM) – Ensuring secure and efficient management of field
- HR & Task Assignment – Optimizing workforce deployment and operational
- Inventory Management – Monitoring and controlling assets and
- Training Management – Providing structured learning and development for
- Complaint Management System – Addressing concerns and ensuring service
- Centralized Communication System – Facilitating seamless coordination and information
- GIS & Dashboard-Based Monitoring System – Enabling real-time tracking, analysis, and
Overall, the software preparation and digital infrastructure formed the backbone of the 7th Agricultural Census’s modernization efforts, ensuring a seamless, transparent, and high-quality data collection process that set new standards for future agricultural surveys.
By leveraging administrative modules, census operations can be conducted with enhanced efficiency, accuracy, and organizational effectiveness, ensuring data reliability and informed decision-making.
Methodology
Agriculture Census Methodology
All the censuses of Agricultural Census Wing (ACW) cover four provinces, capital territory, Gilgit Baltistan and Azad State of Jammu and Kashmir. Direct interview method is adopted for the respondents scattered throughout the area covered under the censuses and the responses are recorded on the carefully prepared questionnaires and then computerized / tabulated as per tabulation plan prepared with consent of data users. Salient futures about each of the census conducted by ACW are as under:
- Agricultural Census: It is conducted on sample basis. The sample design and sample size varies for different parts of the country. Provincial Revenue Departments act as the enumeration agency. Household is the source for provision of data.
- Agricultural Machinery Census: This census is carried out on hundred per cent count basis for the agricultural machinery i.e. tractors, combine harvesters, bulldozers, important tractor drawn implements, tube wells, lift pumps, wells with pump, submersible pumps and modern irrigation systems (i.e. sprinkler and trickle / drip). However, the data on related parameters of farm mechanization are collected from the selected tractor, tube well, lift pump, well with pump and submersible pump owners on sample basis. Agricultural Extension Departments of the provinces act as the data collection agency.
- Livestock Census: Livestock Census is also conducted on sample basis with different sampling plans for different areas of the country. Provincial Livestock and Dairy Development Departments perform the functions of data collection. Data is collected from the households.
- Mouza (Village) Census: Mouza Census is carried out on hundred per cent count basis with the assistance of Provincial Revenue Departments. It was initially designed to update lists of mouzas / villages as per latest administrative order to be subsequently used as sampling frame. However, its scope improved overtime to cater for the community level data encompassing the environment within which the rural communities operate and perform various agriculture related functions.
The planners and researchers may study various types of relationships and the changes occurring therein for their planning and research endeavours. The data of ACW are provided to the data users as per data dissemination policy of the PBS
Publication
Agriculture Census Publications
- WRITE-UP Agricultural Census 2010 [pdf]
- All Pakistan Tables (In Acres) [pdf]
- All Pakistan Tables (In Hectares) [pdf]
- KPK-Province Tabulation [pdf]
- Punjab Province Tabulation [pdf]
- Sindh Pronince Tabulation [pdf]
- Balochistan Province Tabulation [pdf]
Introduction
Agriculture is an extremely important sector of Pakistan’s economy. It plays a vital role and lays down the foundation for economic development and growth in this country. Agriculture contributes more than 21 per cent to the Gross Domestic Product (GDP) and provides employment to 45 per cent of the total labour force of the country. It provides raw material to the industrial sector on one side and is a market of industrial products on the other side. In the export earnings, direct as well as indirect share of agriculture is very high. Thus, it is prudent to construe that agriculture plays a multidimensional role in the economy of Pakistan.
Almost 64 % of the population of Pakistan resides in rural areas and earns its livelihood, directly or indirectly, from agricultural activities e.g. crop cultivation, livestock rearing, labour in agriculture, agriculture input supply, transportation of agricultural output to the market etc. Therefore, development of agriculture is synonymous to the development of the country. The availability of timely, accurate and reliable data is precondition for sound agricultural planning and development. The data from the Agricultural Census thus provide a concrete basis from which the agriculture sector can ultimately develop through evidence-based policy designing. The Agricultural Census Organization (ACO) has conducted five Agricultural Censuses in Pakistan: 1960, 1972, 1980, 1990 and 2000. The present report is the sixth one in the series.
Objectives
The Agricultural Census 2010 was undertaken to fulfil the following objectives:
- To generate basic information on the structure of agriculture.
- To develop detailed basic information about the agricultural resources, state of their utilization and to find out the degree of acceptability of modern farming practices among the farming community for the purpose of regional, provincial and national development, planning and research in the field of agriculture.
- To collect information about livestock population.
- To fulfil data needs of the international agencies like FAO which require the country’s information for a worldwide study of agricultural resources in order to formulate international policies in matters relating to the supply of food and raw materials on sustainable basis.
Legal Basis
The defunct (now) Agricultural Census Act, 1958 ( Act No.XLI of 1958 ) provided the legal basis for census operations throughout the country. The Act made it binding on the Government of Pakistan for the collection of agricultural data and also on the respondents to cooperate with the census enumerators and to furnish information on or with respect to items specified in the said Act. At the same time, the Act assured the secrecy of the information supplied by the respondents. It also bound the interviewer and interviewee not to declare or use this information for any legal proceedings.
Advisory Committee
The census taking exercise was guided by an Advisory Committee. This committee is comprised of about 50 official and non-official members drawn from the concerned Federal and Provincial Government Departments, Universities, Research Institutes, while non-official members come from the progressive farmers. The committee is also comprised of high-level government officials / technical experts from Gilgit Baltistan and Azad Jammu & Kashmir.
Type and Geographical Coverage
As per previous practice and approved procedures, the Agricultural Census 2010 was sample based. The sample design, however, varied for different regions of the country in accordance with the ground realities.
This census covered the entire country, i.e., Khyber Pakhtunkhwa (including Provincially and Federally Administered Tribal Areas, Frontier Regions and Agencies), Punjab (including Islamabad district), Sindh and Balochistan provinces. The geographic coverage was also extended to Gilgit Baltistan and Azad Jammu & Kashmir, each as a separate entity.
Scope of the Census
The scope refers to the range / subjects / items covered by the census. For Agricultural Census 2010 the scope with reference to farm area was restricted to the agricultural farm(s) / holding(s) held and or operated by the Government or by private household(s), individually or collectively or under corporate arrangement at the time of census enumeration. Consequently, the undistributed government lands other than government farms, undistributed portion of the lands resumed by the Government under land reforms, built up areas, land under roads, rails, ravines, rivers, canals, government forests, parks, lakes, water bodies, shallow lands, hills and mountains, etc. falling under the category of non-farm area are outside the scope of the census.
The scope of the present census, as finally approved, included the collection of data on type, size, tenure and parcels of farms, land utilization, irrigation, area under crops and orchards, number of fruit and non-fruit trees, use of manures, fertilizers and plant protection measures, use of agricultural machinery, livestock population, loan and its sources, casual and permanent hired agricultural labour, household members by age, sex, qualification and their contribution towards agriculture, type of residential structures, economic activities of household members and their main source of income.
List of Tables
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- Write-up on Mouza Census 2008 report [pdf]
- Country Report on Mouza Census 2008 Table 1 to 29 & Questionnaire [pdf]
- KPK Province Report on Mouza Census 2008 [pdf]
- Punjab Province Report on Mouza Census 2008 [pdf]
- Sindh Pronince Report on Mouza Census 2008 [pdf]
- Balochistan Province Report on Mouza Census 2008 [pdf]
Introduction
- In Pakistan, the farming communities are inhabiting in compact and or in scattered units called ‘Mouza or Deh’. The area of each mouza / deh is properly demarcated, measured and recorded by ownership in documents of the Revenue Department. Each mouza / deh has a unique name as well as number and referred as the smallest and grossroot level revenue estate. Existence of socio-economic infrastructure in a mouza / deh has reflection on the overall development as well as on agricultural development. The realization for such data was felt strongly during seventies and opened new frontiers for the development of rural Pakistan. As a result, Agricultural Census Organization (ACO) was entrusted with the assignment of meeting the demand for rural statistics such that the development of rural areas may be planned in scientific manner.
- Agricultural Census Organization therefore, planned and executed the exercise of its first kind during 1971 and released the report entitled “Village Statistics 1971”. This report was a by-product of a bigger exercise pertaining to the preparation of sampling frame of mouzas / dehs for settled areas required to draw sample for 1972 Census of Agriculture. The report was appreciated by the academia, researchers and policy makers based on the fact that agricultural development has sound bearing on the socio-economic development of the rural communities.
- Since then, it became incumbent upon ACO to carryout this exercise quinquennially on regular basis, once while up-dating sampling frame for Agricultural Census and then for Livestock Census. Subsequently, this exercise attained the status of a full fledged census with the title of Mouza Census. The coverage and scope of the census was also enlarged over the years. Till today, ACO has conducted eight such censuses and released reports each in 1971, 1979, 1983, 1988, 1993, 1998, 2003 and 2008.
- The district governments being the third but important tier of governance as well as of rural development planning caused to further increase the importance of socio-economic statistics at tehsil and district levels. Consequently, the Mouza Census has attained pivotal position over the years with the increased de-centralized development planning and execution.
Objectives
- Updating mouzas / dehs / villages / killies lists by administrative units for drawing sample for Agricultural Census 2010.
- To provide aggregated statistical data on socio-economic characteristics of mouzas / dehs / villages / killies by administrative units.
- To collect useful information for planners, policy makers and researchers who are interested in the development of rural areas.
Coverage
Except Bajour Agency, North Waziristan Agency, South Waziristan Agency, F.R Kurram, Kurram Agency and Orakzai Agency (not covered due to unfavourable circumstances) all the settled and unsettled mouzas / dehs / villages / killies of NWFP, Punjab, Sindh and Balochistan Provinces as well as of Northern Areas and Azad Jammu & Kashmir have been provided coverage in Mouza Census 2008. All the mouzas / dehs / villages / killies have been covered irrespective of the type of their status. However, the socio-economic information relating to the rural populated mouzas / dehs/ villages / killies (comprising of rural and partly urban mouzas / dehs / villages / killies) have been presented in tabular form in the report. Whereas, limited information (upto column-8 of the questionnaire i.e Form-11) have been collected for urban, forest and un-inhabited (BE-CHIRAGH) mouzas / dehs which was mainly required for updating of the lists (sampling frame) because the socio-economic information about them was considered logically redundant.
Report
Tables
- All Pakistan Report (Introduction) [pdf]
- All Pakistan Report Livestock Census 2006 [pdf]
- KPK Province ReportLivestock Census 2006 [pdf]
- Punjab Province ReportLivestock Census 2006 [pdf]
- SINDH Province ReportLivestock Census 2006 [pdf]
- Balochistan Province ReportLivestock Census 2006 [pdf]
- Special Report – Data on Milk Yield and its Parameters, Animals Slaughtered for Meat and Commercial Poultry [pdf]
- Write-up Pakistan Agricultural Machinery Census 2004 [pdf]
- All Pakistan Report Tables [pdf]
- KPK Province Tables [pdf]
- Punjab Province Tables [pdf]
- Sindh Pronince Tables [pdf]
- Balochistan Province Tables [pdf]
Introduction
Since its inception, Pakistan is experiencing rapid growth in human population despite tremendous efforts to check population explosion. Over the years the population density had been increasing, land to man ratio deteriorating, and the food and cloth requirements intensifying.
On the contrary, the scope for increase in cultivated area over the years has always been marginal. Therefore, the expectations of a wide gap between future food requirements and supplies are high which may possibly be reduced by improving average yields by intensive use of agricultural machinery. It is obvious that use of agricultural machinery not only speed up cultivation process but also accelerate harvesting and threshing operations. It is also instrumental to maximization of agricultural production by increasing land use and cropping intensities. Therefore, planning for judicious use of Agricultural Machinery is of utmost importance which, inter alia, depends upon availability of reliable and timely statistics.
The use of Agricultural Machinery is increasing day by day in Pakistan like other agricultural countries of the world which has necessitated periodic stocktaking of Agricultural Machinery as a regular activity. Realizing this fact in Pakistan, the first Agricultural Machinery Census was conducted in 1968, second in 1975, third in 1984 and fourth in 1994.
The current Agricultural Machinery Census is fifth in succession and was conducted in 2004. It has an edge over the previous censuses on account of the fact that it has also attempted to cover bulldozers, combine harvesters, wells with pump, submercible pumps, modern irrigation systems (MISs) and a large number of farm implements for the first time. Salient objectives of this census are as under:
Objectives
- To generate estimates of number of tractors, bulldozers, combine harvesters, tractor drawn and other farm implements.
- To develop statistics on tractors by make, model, power and working condition.
- To provide the number of tube wells / wells with pump / lift pumps / submercible pumps by type of motive power
- To ascertain information on the privately owned tube wells / wells with pump / lift pumps / submercible pumps by type of ownership, year of installation, their suction and delivery capacity.
- To reckon the households owning tractors and tube wells by type and source of finance.
- To provide data about the extent and type of use of agricultural machines on own farms and the practice of renting out tractor time and tube well water.
- To gauge the number of privately owned modern irrigation systems (MISs) i.e. sprinkler and trickle / drip irrigation systems.
Scope
The scope of this census was primarily confined to:
- All public and private tractors / bulldozers / combine harvesters used wholly or partly for agricultural purposes. Tractors / bulldozers maintained and used entirely for non-agricultural purposes were not covered in the census.
- The farm implements normally pulled by or motivated with tractor and in possession of tractor owners.
- All public and private tube wells / wells with pump / lift pumps / submercible pumps used for irrigation purposes. These machines sunk for drinking water fell outside the scope of this census.
- Ascertaining the extent and pattern of use of the privately owned farm machinery mentioned above.
- All private modern irrigation systems (MISs) installed for agricultural purposes.
List of Tables
Detail of Tables
Agricultural Machinery
Area Under Important Crops
Livestock Population
Consumer Price Index-Annual (5.7% - 2021)
Foreign Trade (2022-2023)
GDP Growth Rate-Annual (-0.38 % 2019-2020)
Consumer Price Index-Annual (5.7% - 2021)
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Foreign Trade (2022-2023)
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GDP Growth Rate-Annual (-0.38 % 2019-2020)
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Tables
- Table - 1 Consumer price index and change rates by main expenditure groups
- Table - 2 Consumer price index and rates of change
Statistical Tables
- Special comprehensive CPI indicators
- Consumer price index average prices of selected items
Reports
- There is no report for the bulletin.
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Definition : Consumer price index (CPI) measures the change over time in the prices of goods and services for consumption by households. The main purpose of the CPI with a base year of 2003 is; is to calculate the inflation rate by measuring the change in the prices of goods and services subject to consumption in the market. For this purpose, all final monetary consumption expenditures of households, foreign visitors and corporate population in the country are taken into account. This concept excludes the production of households for their own consumption from consumption expenditures and the relative rents valid for households.
Classifications: Individual Consumption Classification by Purpose (COICOP) was used in determining the weights and calculating the index, and these expenditures were grouped under 12 main groups and 43 subgroups. 404 items are included in the index.
International and regional guidance: There is no significant difference between Turkey’s methodology and the relevant international and regional standards set out in EUROSTAT.
Source of weights: Household Budget Survey conducted with approximately 15 000 households (3 years total 45 000) from all socio-economic groups annually, institutional population survey, tourism survey for the expenditures of foreign nationals in Turkey and expenditure and turnover information obtained from administrative records. It is calculated by expanding the National Accounts Household Final Consumption Expenditure data with the change rates.
For seasonal products, a constant weight approach is used.
The period to which the current weights belong is: December of the year (t-1).
In the CPI with a base year of 2003 = 100, all final monetary consumption expenditures made for the purpose of consuming goods and services domestically are taken as basis. In the index, prices are compiled from a total of 228 districts, including all 81 provincial centers. Within the scope of CPI, 564 710 prices from 27 411 workplaces are compiled monthly and 5 246 tenants are followed within the scope of the index. The number of workplaces and prices may vary throughout the year depending on the seasonal structure.
Population coverage: Population coverage of the index; It is determined as the total population living in Turkey, without any discrimination based on income groups or geographical regions.
Geographic coverage: All domestic final monetary consumption expenditures of households, foreign visitors and corporate population were taken into account.
FPrice coverage: The price coverage of the index is determined as purchase prices. Prices are determined as cash payments including taxes, and installment sales or negotiated prices are not taken into account.
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