Baselight

Imports By Industry (FIGARO Application)

Eurostat code: naio_10_fgti ยท (2010 - 2022)

@eurostat.naio_10_fgti

Imports By Industry (FIGARO Application) - Raw
@eurostat.naio_10_fgti.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

  • 6.17 MB
  • 109668 rows
  • 18 columns
freq

Freq

nace_r2

Nace R2

c_exp

C Exp

unit

Unit

geo

Geo

n_2010

2010

n_2011

2011

n_2012

2012

n_2013

2013

n_2014

2014

n_2015

2015

n_2016

2016

n_2017

2017

n_2018

2018

n_2019

2019

n_2020

2020

n_2021

2021

n_2022

2022

AnnualAgriculture, forestry and fishingArgentinaMillion euroAustria4.0116.743.3693.3242.9722.0422.5163.2965.5022.8372.4762.0591.266
AnnualAgriculture, forestry and fishingArgentinaMillion euroBelgium17.0569.19214.5693.1164.13.5832.4473.4225.1983.2483.892.4711.212
AnnualAgriculture, forestry and fishingArgentinaMillion euroBulgaria2.7421.3291.6931.110.8090.5732.3952.5534.3623.8153.4972.9792.203
AnnualAgriculture, forestry and fishingArgentinaMillion euroCyprus1.6171.2871.020.540.7510.8490.8580.6951.1660.8210.7990.660.921
AnnualAgriculture, forestry and fishingArgentinaMillion euroCzechia8.90312.1966.2487.4475.0235.79511.8136.00211.1325.2163.0123.7083.71
AnnualAgriculture, forestry and fishingArgentinaMillion euroGermany98.542128.995101.87871.82871.03339.38344.54235.43952.72736.3637.1737.68944.887
AnnualAgriculture, forestry and fishingArgentinaMillion euroDenmark9.0610.736.5944.2636.4625.3783.8393.7156.3613.5422.9362.4392.794
AnnualAgriculture, forestry and fishingArgentinaMillion euroEstonia0.3790.7711.9261.040.5130.2750.7690.4290.2870.1350.160.140.12
AnnualAgriculture, forestry and fishingArgentinaMillion euroGreece16.71424.43539.03639.7431.2738.3699.93721.21328.11511.8548.9357.2611.159
AnnualAgriculture, forestry and fishingArgentinaMillion euroSpain104.706101.98376.82767.06878.877121.166101.03581.579130.88362.38358.74249.28871.602

CREATE TABLE raw (
  "freq" VARCHAR,
  "nace_r2" VARCHAR,
  "c_exp" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE
);

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