Baselight

Imports Unit Value (index, 2015=100)

Gapminder datapoints for 'imports_unit_value_index_2015_100'

@gapminder.imports_unit_value_index_2015_100

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About this Dataset

Imports Unit Value (index, 2015=100)

Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's import value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the import value indexes are derived from import volume indexes (line 73) and corresponding unit value indexes of imports (line 75) in the IMF's International Financial Statistics.

HOW TO JOIN WITH METADATA

• Concepts (labels/units)
– Use the concept id imports_unit_value_index_2015_100 to look up labels and units in @gapminder.metadata.concepts.
SELECT * FROM @gapminder.metadata.concepts WHERE concept = 'imports_unit_value_index_2015_100'.

• Countries and names
– Join your datapoints on geo to @gapminder.metadata.entities_geo_country to get readable country/area names
(e.g., name) and membership attributes such as world_4region, income_groups.

• Regions and other group labels
– After you have a region code from the country table (e.g., world_4region),
you can join to:
· @gapminder.metadata.entities_geo_world_4region on world_4region → region names/colors/shapes
· @gapminder.metadata.entities_geo_world_6region on world_6region → region names
· @gapminder.metadata.entities_geo_income_groups on income_groups → income group names

Example:
SELECT d.time,
c.name AS country,
d.imports_unit_value_index_2015_100 AS value
FROM @gapminder.imports_unit_value_index_2015_100.imports_unit_value_index_2015_100_by_geo_time d
LEFT JOIN @gapminder.metadata.entities_geo_country c ON d.geo = c.country;

Tables

Imports Unit Value (index, 2015=100) → By → Geo → Time

@gapminder.imports_unit_value_index_2015_100.imports_unit_value_index_2015_100_by_geo_time
  • 53.05 kB
  • 7,807 rows
  • 3 columns
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CREATE TABLE imports_unit_value_index_2015_100_by_geo_time (
  "geo" VARCHAR,
  "time" BIGINT,
  "imports_unit_value_index_2015_100" DOUBLE
);

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