by International Food Policy Research Institute (IFPRI) / IFPRI Dataverse·Updated 15d ago
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Description
From February–March 2022 to January–March 2026, the Myanmar Agricultural Performance Survey (MAPS) is a nationwide, phone-based panel survey conducted biannually. It collects data from approximately 5,000 households on farm characteristics, cultivated area, crops planted, input use, crop marketing, and constraints affecting agricultural activities. The survey, a sub-sample of the Myanmar Household Welfare Survey, is designed to be representative at the agro-ecological zone level.
Use Cases
Tracking seasonal crop production and sales based on biannual survey rounds.
Analyzing farm management practices and input use from household-level data.
Assessing security-related challenges and marketing behavior for crop farmers.
Monitoring changes in agricultural assets and access to services over time.
Strengths
High-frequency data collection with eight completed biannual rounds from 2022 to 2026.
Nationwide panel design with a target of approximately 5,000 households, achieving 4,740 respondents in Round 6.
Explicit objective of achieving representativeness at the agro-ecological zone level.
Limitations
Column names and specific data schema are not provided in the available metadata.
The exact row count and file size for the dataset are unknown.
License information is inconsistent, listed as 'hdx-other' on some platforms and null on others.
Provenance
Source
International Food Policy Research Institute (IFPRI), implemented by Myanmar Survey Research (MSR).
Collection Method
Phone-based panel survey, with respondents drawn as a sub-sample of the Myanmar Household Welfare Survey (MHWS).
Time Range
Round 1 (February–March 2022) through Round 8 (January–March 2026). Round 6 specific to July–September 2024.
Freshness
Last updated on 2026-07-07 according to two sources.
Geography
Nationwide, Myanmar.
Data is accessible via a web application format. License is noted as 'hdx-other' on HDX and one Dataverse entry, but is null on another Dataverse entry.