2024 Integrated Agricultural Survey (IAS)
First Edition
Zambia, 2025
Get MicrodataIdentification
ZMB-ZSA-IAS-2024-V1.0
2024 Integrated Agricultural Survey (IAS)
First Edition
| Name | Country code |
|---|---|
| Zambia | ZMB |
Agricultural Survey [ag/oth]
The 2024 Integrated Agricultural Survey (IAS) was the first to be undertaken by the Government of the Republic of Zambia through the Zambia Statistics Agency (ZamStats) in collaboration with the Ministry of Agriculture (MoA), Ministry of Fisheries and Livestock (MFL) and the Ministry of Green Economy and Environment (MoGE). IAS covered various agriculture subsectors of the country including crops, livestock, poultry and forestry in the framework of the 50x2030 Initiative. The 50x2030 Initiative is an initiative to Close the Agricultural Data Gap which is a multi-agency partnership (World Bank, FAO and IFAD) for data smart agriculture to strengthen national agricultural data systems in 50 countries by year 2030. Zambia is among the 50 countries to benefit from this initiative
The 2024 IAS covered various agriculture subsectors of the country including livestock, poultry and forestry in the framework of the 50x2030 Initiative replacing the 2023/2024 Post Harvest Survey (PHS).The purpose of the IAS was to obtain estimates for the current Agricultural Season at the time (2024/2025). In general, the estimates obtained related to crops, livestock, poultry and apiculture. Unless otherwise stated, the reference period for the information collected was the agricultural season starting 1st October 2023 and ending 30th September 2024 (2023/2024 season).
Objectives of the 2024 IAS
-
Improved Coverage and scope: targeted all Agricultural production units.
-
Improve Comparability and Coherence: used international conncepts and definitions.
-
Provide market insights: to farmers, businesses and investors in making informed decisions regarding crop production.
-
Equip policymakers with reliable statistics: for strategic planning, resource allocation and intervention programs in the agricultural sector.
The IAS targeted agriculture households: Small and Medium Scale, Large-Scale Farms or Establishments. The Large-Scale Farms or Establishments were surveyed exhaustively nationawide.
The survey was carried out in all the 10 provinces of the country in order to provide estimates at Provincial and National level and will represent two sub-populations of farms. A sample of small and medium-scale agricultural households will be visited by enumerators and interviewed with face-to-face interview. The large-scale farms will be surveyed exhaustively in all the 10 provinces of Zambia
Sample survey data [ssd]
Agricultural Household
Agricultural farms/Establishments
Version
V1.0: Edited, Anonymised dataset for Public Use.
2025-10
Scope
The scope of the IAS included:
SMALL AND MEDIUM SCALE HOUSEHOLD: Holding Identification, Household Demographic Characteristics, Record Keeping, Parcel Roster, Field Roster, Crop Roster,Temporary Crop Production (Non Vegetable), Permanent Crop Production (Plantations), Vegetable Crop Production, Temporary Stocks and Sales, Permanent Stocks and Sales, Input Use, Livestock in Stock, Change in Stock, Change in Stock - Poultry, Egg Production, Milk Production, Bee Keeping, Biogas, Livestock By- Products, Forestry Production, Labour.
LARGE-SCALE FARM ESTABLISHMENT: Farm Identification, Owner and Manager Characteristics, Land Use, Crop Production, Vegetable and Flower Production, Fruit Production and Sales (Permannet Crops), Crop Stocks, Livestock in Stock, Chang in Stock, Milk Production, Egg Production, Labour
| Topic |
|---|
| Holding Identification |
| Household Demographic Characteristics |
| Record Keeping |
| Parcel Roster |
| Field Roster |
| Crop Roster |
| Temporary Crop production (Non Vegetable) |
| Permanent Crop Production (Plantations) |
| Vegetable Crop Production |
| Temporary Stocks and sales |
| Pemanent Stocks and Sales |
| Input Use |
| Livestock in Stock |
| Change in Stock |
| Change in Stock - Poultry |
| Egg Production |
Coverage
National, Province, Rural, Urban
The survey covered all agriculture households and all large scale agriculture establishments
Producers and sponsors
| Name | Affiliation |
|---|---|
| Zambia Statistics Agency | Ministry of Finance and National Planning |
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture | Government of the Republic of Zambia | Partners with ZamStats in Survey implementation |
| Ministry of Fisheries and Livestock | Government of the Republic of Zambia | Partners with ZamStats in Survey implementation |
| Ministry og Green Economy and Environment | Government of the Republic of Zambia | Partners with ZamStats in Survey implementation |
| Name | Role |
|---|---|
| Government of the Republic of Zambia | Funded the survey |
| World Bank Group | Funded the survey |
| Name | Affiliation | Role |
|---|---|---|
| Field Personel | Zambia Statistics Agency | Data collection and Production |
| Farming Community | Providing information to the data collectors | |
| Food and Agriculture Organisation (FAO) | Support on the 50x2030 Initiative | |
| International Fund for Agricultural Development (IFAD) | Support on the 50x2030 Initiative |
Sampling
Sample Design: The sampling method for agricultural households is a stratified two stage sampling. The primary sampling unit (PSU) was the enumeration area (EA) as designed for the 2022 census of population and housing (CPH) and the secondary sampling unit (SSU) was the Agricultural households in the sampled EAs. The complete list of agricultural households was developed from a listing operation. The sampling frame was stratified by district and rural/urban criteria in each Province (estimation domain/analytical stratum). An implicit stratification was also performed through sorting the frame of EAs by geographic identification particulars and the number of agricultural households before the selection of EAs.
Sample size and allocation: Sample sizes were calculated for each province considering requirements of reliable estimates of crop area and livestock number. The sample size of households was computed separately for crop and livestock and the final size was chosen considering the contribution of the provinces to crop area and livestock. A total of 1,450 EAs were selected countrywide, culminating to 20,300 households to be interviewed.All the 2,400 Large-Scale establishments or farms were interviewed in totality - 100 percent coverage.
Selection of the sample of EAs: The stratified sample of EAs was selected using Systematic Sampling Probability Proportional to Size (PPS) with the number of agricultural households at EA level as measure of size.
Selection of the sample of agricultural households
A listing of agricultural households was conducted in each of the sampled EAs. The listing module was used to prepare a complete list of agricultural households from which a sample of 14 households was selected for further interviewing. Non-agricultural households and households categorised as "large scale" were excluded. Systematic random sampling was used to draw the 14 households. In this survey, there was to be no household replacements.
Survey instrument
IAS 2024 had two types of questionnaires;
- Household questionnaire - was used to capture household members and household characteristics and all the data related to crops, livestock, poultry and apiculture.
- Establishment questionnaire - covered activities of large scale agricultural households as well as establishments and institutions.
In addition to the above mentioned tools, there was also a listing form used during the Listing Stage.
All the questionnaires were developed and published in English. There were no translated questionnaires produced.
All the questionnaires are provided as external resources.
Data collection
| Start | End |
|---|---|
| 2025-02-03 | 2025-02-28 |
- Face-to-face [f2f]
| Name | Affiliation |
|---|---|
| Zambia Statistics Agency | Ministry of Finance and National Planning |
The data collection was conducted in teams. Each interviewing team comprised of a Supervisor or Team Lead with about 5 to 6 interviewers in some instances. Each team was allocated a vehicle with a driver to facilitate travel from one EA to another..
The supervisor was in charge of the team and took the lead role in coordinating all the data collection activities, management of the team, supplies and equipment, finances, maps and listings as well as coordinating with the local authorites concerning the survey plan, lodging or accomomdation arrangements and travel. He/she was equally in charge of area identification, area boundary identification, assigning work to the other team members, spot checking, reveiewing of questionnaires and sending the completed data to the server via synchronisation. The team lead was the contact person between the field team and the project team from the ZamStats Head Office.
The project team from ZamStats head office made periodic checks on the teams in the field throughout the course of the survey until the exercise ended.
The training of data collectors was done for a period of 10 days after which the field staff were deployed for the actual data collection. The questionnaires were pre-tested before, during and after trarining. On average an interview took about an hour and half for household interviews and about 50 minutes for establishment interviews.
Each province had a Coordinator and a Master Trainer who were the overseers of the survey process. Each field team comprised of a supervisor and 4 to 5 enumerators and a driver. The questions in the questionnaire were primarily in English but some or most of the interviews were conducted in the local language predominant in the area where the interviews were carried out. The data collectors that were engaged to collect data had to be fluent in both English and the local languages for them to be able to translate the questions from English to the local language without changing the meaning or intention of the questions.
Before starting any interviews, local authorities in that area were informed of the presense of the field staff. This was cardinal as it curbed any suspicions and reduced non-compliance from the respondents. If there were any issues or challenges encountered by the field staff, the MT and Project Coordinator were on hand to help correct the situation.
Interviews were conducted everyday throughout the survey period. Each Taem was assigned about 15 EAs to cover. The data collection took place over a period of 26 days from 3rd February to 28th Frbruary, 2025.
Data processing
- Structure flow of the questionnaire checking and completeness:
- Secondary editing during data collection by the monitors
- Structural checking of SPSS data files
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Zambia Statistics Agency | Ministry of Finance and National Planning | https://nada.zamstats.gov.zm | info@zamstats.gov.zm |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
The Agency shall, where statistics are designated as official statistics, protect the confidentiality and identity of the source of data. Under the provisions of the Statistics Act No. 13 of 2018, ZamStats is obliged to preserve the confidentiality of respondent information in all its census and survey data. Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorised by the Agency. 2. Not use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the Agency. |
Micro data records are anonymised as per procedures before these are made available to users. Micro data files are all free but under Access Policy Conditions:
Each dataset has an access policy: Public use file - Accessibility to all and - Licensed datasets, accessible under conditions. The dataset has been anonymised and available as a Publiv Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
- The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Zambia Statistics Agency.
- The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
- No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently.
Zambia Statistics Agency (2024). 2024 Integrated Agricultural Survey, Lusaka, Zambia
Disclaimer and copyrights
ZamStats will not bear any responsibility for the erroneous use of its data by researchers. Users should report inconsistencies in the data (both micro and aggregated) to ZamStats as soon as possible.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such use.
(c) 2025, Zambia Statistics Agency
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Head of Dissemination | Zambia Statistics Agency | info@zamstats.gov.zm | https://nada.zamstats.gov.zm |
Metadata production
DDI-ZMB-ZSA-IAS-2024-V1.0
| Name | Affiliation | Role |
|---|---|---|
| Zambia Statistics Agency | Ministry of Finance and National Planning | Study Documentation |
2026-01-12
Metadata version
Version 1.0 (January 2026)