| Name | Country code |
|---|---|
| Liberia | LBR |
The scope of the Liberia Agriculture Census 2024 household level data collection includes:
National coverage
The universe for the Liberia Agriculture Census 2024 household level data collection is all households in Liberia having at least one member engaged in agricultural activity during the 2022/2023 farming season.
| 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 |
| 50x2030 Initiative | Global partnership program led by the World Bank (WB), the Food and Agriculture Organization of the United Nations (FAO), and the International Fund for Agricultural Development (IFAD) |
Technical and financial support for the design, implementation, and analysis of the survey |
| Name | Abbreviation | Role |
|---|---|---|
| Government of Liberia | GoL |
Funder |
| World Bank | WB |
Funder |
The Liberia Agriculture Census 2024 (LAC-2024) was a sampled census conducted in all 15 counties of Liberia. The sampling frame used for the LAC-2024 is based on the 2022 National Population and Housing Census (2022-NPHC), conducted by the LISGIS. The sample design for the census was a stratified cluster sample with enumeration areas (EAs) as clusters and farming households as units of interest. In line with budget availability, a large sample of 4,800 EAs was considered for the LAC-2024. These EAs had a total of 269,652 agricultural households in the frame. The sample was allocated by strata (districts, urban/rural) proportional to the numbers of farming households in the frame. In total, about 78.8% of the sample was allocated to rural areas. The stratified sample of EAs was selected with a probability proportional to the number of farming households at EA level.
A complete listing of all households (both agricultural and non-agricultural) was carried out in the selected EAs and detailed questions were addressed to all households that practiced agricultural activities during the 2022/2023 farming season. The results of the LAC-2024 are representative at the district level.
For more information on the LAC-2024 sampling methodology, see the methodology section of the Liberia Agriculture Census 2024 Household Report (available in the downloads tab).
92.8%
Sampling weights were generated to ensure extrapolation of the agriculture census results at the national, county and districts levels.
For further details on sampling weights, see the methodology section of the Liberia Agriculture Census 2024 Household Report (available in the downloads tab)..
The LAC-2024 employed three questionnaires: the Household Questionnaire, the Community Questionnaire and the Non-Household Questionnaire. These three questionnaires were based on the 50x2030 Initiative standard model questionnaires. The Liberia Agriculture Census Technical Working Group (LAC-TWG), comprising technical staff from LISGIS,Ministry of Agriculture (MOA), National Fishery and Aquaculture Authority (NaFAA), Cooperative Development Agency (CDA) and the Ministry of Internal Affairs (MIA) worked with technicians from the 50x2030 Initiative to adapt the questionnaires to Liberia's context and realities. Suggestions and inputs were solicited from various stakeholders representing government ministries, agencies and commissions(termed MACs by LISGIS), nongovernmental and international organizations as well as academic institutions researching agricultural issues. All questionnaires were finalized in English. Some questions in the questionnaires were translated into simple Liberian English, to ease administration.
The household questionnaire included type of agricultural activities practiced, household members characteristics, housing conditions, hired labour practices, agricultural parcels and plots characteristics, types of crops and methods of crop cultivation, inputs, tools and equipment used, type and number of livestock and poultry.
The household questionnaire was administered to the household head or an adult member of the household with knowledge of the household and its agricultural activities. The primary respondent (i.e., the household member that provided most of the information for the questionnaire or a given module, household member, or crop) sometimes varied across modules.
The dataset was anonymized using statistical disclosure control methods to protect respondent confidentiality while maintaining data utility. This was conducted in accordance with the protocols of the FAO Statistical Standard on Microdata dissemination Microdata dissemination
| Start | End |
|---|---|
| 2024-01-22 | 2024-03-22 |
The data collection was carried out from January to March 2024, covering all counties in Liberia. Teams of enumerators conducted interviews using tablets with CAPI (Computer-Assisted Personal Interviewing) software. The process included household interviews, community group discussions, and observational methods.
The LAC-2024 data collection at the household level was conducted by 160 teams. Each team was composed of one supervisor, four enumerators, and one GIS specialist, who also served as an additional enumerator. All teams were deployed to their first EA by regional and national monitors, using LISGIS vehicles. Thereafter, teams were responsible to travel to remaining EA using the transportation allowances provided to each team member. A total of 30 data quality assurance officers (two in each county) were deployed to assist teams with technical issues of the CAPI applications. The work of the teams was coordinated by 11 regional and 22 national monitors, who routinely visited teams, checked data quality, flagged and corrected potential errors and provided in-field training where necessary. At LISGIS central office, there were 5 monitors, called HQ monitors, who monitored the LAC-2024 dashboard daily and reported all identified errors and inconsistencies to regional and national monitors for appropriate actions.
Data collection faced challenges such as difficult terrain and poor internet connectivity, which caused delays in data synchronization. Despite these challenges, supervision and regular quality checks assured the quality of the data.
The data was edited using CSpro software, version 7.7.3. The appropriate edit rules were established by programmers and subject matter specialists at LISGIS and MOA.
In a few cases, manual editing was applied to recode the “other specify” category. The SPSS software was used for this purpose.
| Confidentiality declaration text |
|---|
|
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:
|
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 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 Agriculture Census 2024 (LAC-2024) , Ref. LBR-LAC-2024_v01. Dataset downloaded from https://lisgis.gov.lr/
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.
| 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 / Metadata adapted for FAM |
| Development Data Group | DECDG | The World Bank |
Metadata adapted for World Bank Microdata Library |
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