Annual Agricultural Survey 2024
Income, Labour and Productivity (ILP) Module
Liberia, 2024 - 2025
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Liberia | LBR |
It was implemented under the 50x2030 Initiative, a program jointly launched by the World Bank, Food and Agriculture Organization of the United Nations (FAO) and International Fund for Agricultural Development (IFAD), through the Liberia Institute of Statistics and Geo-Information Services (LISGIS) and the Ministry of Agriculture (MoA). The AAS adopted a modular approach, with the first round covering the CORE module and the ILP (Income, Labor and Productivity) module.
The specific objectives of the survey are to:
- Estimate total production quantities of major crops and livestock products, including harvested area and yields.
- Collect data on land use, farmland types, and input utilization to support yield estimation and productivity analysis.
- Gather socio-demographic and economic characteristics of agricultural households, including farm income and labour use.
A unique feature of the LAAS 2024 is the integration of a Women's Empowerment and Nutrition (WEN) module, designed to measure women’s dietary diversity and assess their role in agricultural decision-making. This ensures that the survey contributes not only to economic analysis but also to gende-responsive policy and programming.
Scope
The scope of the Liberia Agriculture Census 2024 household level data collection includes:
Agricultural households and members characteristics, hired labour practices, land use, types of agricultural activities, inputs, tools and equipment used, types and number of livestock and poultry raised.
Coverage
National coverage
All households in Liberia having at least one member engaged in agriculture activity during the 2023/2024 farming season.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Liberia Institute of Statistics and Geo-Information Services | Government of Liberia |
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture | Government of Liberia |
Collaborator |
| Food and Agriculture Organization of the United Nations | United Nations |
Technical assistance |
| Name | Abbreviation | Role |
|---|---|---|
| Government of Liberia | GoL |
Funding |
| World Bank | WB |
Funding |
| Name | Role |
|---|---|
| 50x2030 Initiative |
Technical and financial support for the design, implementation, and analysis of the survey. |
Sampling
The survey design and methodology align with the 50×2030 Initiative’s methodological framework and builds upon the experience of the 2024 Liberia Agriculture Census (LAC 2024). It employs a stratified two-stage sampling design to ensure representative estimates at both national and regional levels. The first stage involved a selection of Enumeration Areas (EAs) as Primary Sampling Units (PSUs) using Probability Proportional to Size (PPS), where size was measured by the number of agricultural households per EA from the agricultural census. In the second stage, within each selected EA, 10 agricultural households were chosen using simple random sampling without replacement.
Each sampled household was assigned a design weight equal to the inverse of its overall probability of selection, incorporating both first- and second-stage probabilities. Weights were adjusted for non-response and calibrated against known population totals from the 2024 Agriculture Census to improve consistency.
Survey instrument
The questionnaire was administered in each household in a single visit, preferably to the head of household. It covers the CORE module and the ILP (Income, Labor and Productivity) module, including several topics such as household demographics, agricultural activity (crop, livestock, fishing and aquaculture, forestry), input use and labor, land tenure, subsidies, loans and transfers.
The questionnaires are provided as external resources in the Downloads section.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2024-08-30 | 2024-10-15 | First Wave (Southeastern Region) |
| 2024-11-20 | 2025-01-05 | Second Wave (Other regions) |
- Computer Assisted Personal Interview [capi]
| Name | Affiliation | Abbreviation |
|---|---|---|
| Liberia Institute of Statistics and Geo Information Services | Government of Liberia | LISGIS |
| Ministry of Agriculture | Government of Liberia | MOA |
Data were collected using computer-assisted personal interviewing (CAPI) with tablets equipped with real-time validation rules. Field teams were trained extensively on questionnaire content, area measurement protocols, and data-quality checks. Daily monitoring dashboards allowed monitors and data quality officers to track progress and consistency across regions. To further ensure data quality, the Liberia Institute of Statistics and Geo Information Services (LISGIS) implemented field verification of sampled households, cross-checks of GPS coordinates, and consistency reviews between crop and livestock modules.
Access policy
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
Confidentiality of respondents is guaranteed by the National Statistics and Geo-Information Act of Liberia, enacted 2004 and the United Nations Fundamental Principles on Official Statistics, specifically principle six. 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 authorized by LISGIS. 2. Not to use any technique in an attempt to learn the identity of any person, household, non-household or community 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 data depositor. |
The dataset has been anonymized and is available as a Public 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 LISGIS.
- 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. Any such discovery would immediately be reported to LISGIS.
- No attempt will be made to produce links among datasets provided by LISGIS, or among data from LISGIS and other datasets that could identify individuals or organizations.
- Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from LISGIS will cite the source of data in accordance with the Citation Requirement provided with each dataset.
- An electronic copy of all reports and publications based on the requested data will be sent to LISGIS.
The original collectors of the data, LISGIS, MOA, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Liberia Institute of Statistics and Geo-Information Services. Liberia Annual Agriculture Survey 2024 (LAAS-2024), Ref. LBR_LAAS_2024_v01. Dataset downloaded from https://lisgis.gov.lr/.
Disclaimer and copyrights
The user of the data acknowledges that the authorized distributor of the data (i.e., LISGIS), MOA and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Liberia Institute of Statistics and Geo-Information Services | LISGIS | Government of the Republic of Liberia |
Documentation of the study |
| Ministry of Agriculture | MOA | Government of the Republic of Liberia |
Documentation of the study |
| Statistics Division | ESS | Food and Agriculture Organization of the United Nations |
Technical Assistance on documentation / Metadata adapted for FAM |
| Development Data Group | DECDG | World Bank Group |
Metadata adapted for World Bank Microdata Library |