Total GDP (US$, Inflation-adjusted)
Gapminder datapoints for 'total_gdp_us_inflation_adjusted'
@gapminder.total_gdp_us_inflation_adjusted
Gapminder datapoints for 'total_gdp_us_inflation_adjusted'
@gapminder.total_gdp_us_inflation_adjusted
GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2010 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
HOW TO JOIN WITH METADATA
• Concepts (labels/units)
– Use the concept id total_gdp_us_inflation_adjusted
to look up labels and units in @gapminder.metadata.concepts.
SELECT * FROM @gapminder.metadata.concepts WHERE concept = 'total_gdp_us_inflation_adjusted'
.
• 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.total_gdp_us_inflation_adjusted AS value
FROM @gapminder.total_gdp_us_inflation_adjusted.total_gdp_us_inflation_adjusted_by_geo_time d
LEFT JOIN @gapminder.metadata.entities_geo_country c ON d.geo = c.country;
CREATE TABLE total_gdp_us_inflation_adjusted_by_geo_time (
"geo" VARCHAR,
"time" BIGINT,
"total_gdp_us_inflation_adjusted" DOUBLE
);
Anyone who has the link will be able to view this.