Tea FAO Dataset

Tea crops production quantity from FAO platform

@kaggle.michals22_tea_fao_dataset

Table List

7 tables(289.64 KB)

Tea Crops Primary Production Quantity

Tea Crops Processed Production Quantity

Tea Producer Price Annual

Tea Import Value

@kaggle.michals22_tea_fao_dataset.tea_import_value

64.25 KB
202 rows
33 columns

country Country	n_1990 1990	n_1991 1991	n_1992 1992	n_1993 1993	n_1994 1994	n_1995 1995	n_1996 1996	n_1997 1997	n_1998 1998	n_1999 1999	n_2000 2000	n_2001 2001	n_2002 2002	n_2003 2003	n_2004 2004	n_2005 2005	n_2006 2006	n_2007 2007	n_2008 2008	n_2009 2009	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
Afghanistan	35100000	26320000	18300000	28000000	21000000	45000000	30000000	55000000	102000000	59000000	87700000	45300000	26981000	89814000	49876000	11492000	33202000	53463000	40063000	9302000	38050000	85915000	225322000	164125000	111711000	129025000	89671000	141649000	146110000	123053000	40202000	34400000
Albania							59000	190000	214000	219000	201000	150000	212000	95000	78000	134000	160000	273000	390000	411000	388000	472000	567000	692000	131000	314000	140000	90000	128000	72000	263000	9411000
Algeria	16636000	764000	94786000	1954000	21214000	10744000	21546000	8220000	19638000	8178000	14000000	11481000	7382000	8566000	9469000	11942000	11772000	11781000	13524000	13940000	35466000	20748000	27384000	25475000	31160000	33003000	35136000	33881000	58070000	60098000	55613000	57912000
Angola	360000	400000	120000	150000	170000	260000	100000	80000	90000	30000	1300000	600000	1160000	1092000	1527000	1830000	2881000	4351000	6301000	6150000	4042000	6299000	7614000	6019000	10630000	4331000	6291000	5377000	4134000	6855000	1531000	3145000
Antigua and Barbuda	85000	105000	60000	150000	280000	110000	120000	28000	3000	11000	43000	35000	116000	57000	465000	286000	123000	198000	121000	244000	253000	300000	330000	285000	259000	246000	222000	326000	385000	296000	199000	119000
Argentina	66000	221000	819000	922000	1361000	1293000	1705000	1585000	2301000	2582000	1662000	1519000	439000	644000	789000	1130000	1023000	1490000	1594000	959000	1492000	1762000	1703000	1490000	1717000	1912000	1864000	2146000	2101000	1685000	1341000	1922000
Armenia					150000	1398000	119000	167000	167000	415000	425000	521000	521000	608000	508000	1356000	970000	1530000	1930000	1740000	2098000	2584000	2951000	2404000	2435000	2568000	2387000	2475000	2870000	2528000	2602000	2847000
Australia	41655000	41957000	42537000	40004000	44933000	42428000	47401000	47978000	53269000	52879000	55371000	48830000	54590000	62821000	67182000	75550000	70845000	85319000	91505000	86749000	98969000	107984000	114524000	112925000	113658000	105305000	98834000	110477000	106915000	109308000	105951000	115295000
Austria	7473000	6053000	7006000	6280000	7448000	9882000	9600000	8300000	9719000	11500000	6947000	8270000	9190000	9612000	8826000	12276000	11895000	18268000	19468000	20112000	22258000	24956000	24068000	26236000	28738000	24381000	24687000	27173000	29289000	27493000	21411000	25040000
Azerbaijan				4514000	4774000	3407000	12612000	8925000	12000000	5682000	6000000	22091000	14274000	9912000	18286000	14603000	12864000	15005000	15923000	16931000	18100000	20398000	16444000	20322000	18992000	53868000	54756000	77682000	49807000	55049000	56187000	61858000


CREATE TABLE tea_import_value (
  "country" VARCHAR,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "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
);