Household Survey Data on Seagrass Fisheries and Poverty in Five Indo-Pacific Countries

1,705 anonymized household survey records from 156 coastal communities in Cambodia, Indonesia, the Philippines, Sri Lanka, and Tanzania. The data supports a study on relationships between poverty, fishing livelihoods, and seagrass dependence, with income expressed in adjusted International dollars per day. Benjamin Jones published the data and R analysis code on figshare in 2026.

Use Cases

• Modeling household income predictors among fishing households based on mixed-effects model specifications.
• Analyzing the concentration of complete seagrass dependence among lower-income households using binary mixed-effects models.
• Mapping the distribution of seagrass-associated fishing observations across the Indo-Pacific region.
• Comparing income and poverty status between fishing and non-fishing households in coastal communities.

Strengths

• Includes 1,705 household records from five countries, providing a multi-national perspective.
• Data is anonymized and accompanied by a complete R script for full reproducibility of the published analysis.
• Household income is adjusted for inflation, purchasing power parity, and household economies of scale.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the geospatial seagrass fishing observations file is unknown, which may limit suitability assessment.
• Data may reflect geographic and survey-method bias inherent to the original study design.

Provenance

Source

Benjamin Jones via figshare.

Collection Method

Household-level surveys conducted in coastal communities.

Freshness

Last updated 2026-05-22 07:56:46; freshness should be verified.

Geography

Cambodia, Indonesia, Philippines, Sri Lanka, Tanzania (Indo-Pacific region).