Pacific food systems in the Pacific Data Hub

What SPC's SDMx data can and can't tell you about food in the 22 Pacific Island Countries and Territories: imports, harvests, household food security, nutrition and prices, plus the climate, population and economic pressures around them.

Coverage

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Rows are datasets or single indicator series; columns are countries and territories. Cells show data that actually exists. Click a row or a country code to open its report.

Coverage over time

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How many countries have data, per dataset and year.

Metadata quality

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SPC describes each dataflow with 9 reference metadata attributes, attached to the whole dataflow, one indicator, one country or one observation. Each row combines the levels that apply to it. Colour shows the level; a percentage is the share of the row's indicators covered.

Explore the data

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Extracts from the datasets above, each with its main strength and caveat.

Worked examples

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Two analyses that go beyond single datasets: one joins five dataflows, the other uses the network shape of trade. Each comes with its caveats.

1 · Where do Pacific calories come from?

Import quantities are converted into nutrients with the Pacific Nutrient Database, set against calories from local root crops and bananas, and divided by residents plus, optionally, tourists. Joining these datasets needs a hand-built bridge between product codes, which is the main limitation shown below.

2 · How complex is Pacific food trade?

The Food Trade Database is a network of country-to-country, product-level flows, so Hidalgo and Hausmann's economic complexity can be computed for it each year: countries are linked to the food products they export with revealed comparative advantage (RCA ≥ 1), the Economic Complexity Index (ECI) ranks countries, and the Product Complexity Index (PCI) ranks products.

Strengths and limitations

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All figures are computed from the data on this page.

● Strengths

● Limitations