Gross domestic expenditure on R&D by sector of performance and socio-economic objective (SEO)

Sector
Scio economic objectives
Measure
Year2011201220132014201520162017201820192020
CountryUnit
AustraliaAustralian Dollar, Millions
(E) 31 699
..
(E) 33 471.5
..
(E) 31 179
..
(E) 33 062
..
(E) 35 602
..
AustriaEuro, Millions8 276.335
(E) 9 287.84
9 571.282
(E) 10 275.18
10 499.146
(E) 11 145.02
11 289.781
(E) 11 911.85
12 441.232..
ChileChilean Peso, Millions428 780.714470 675.384535 924.384
(B) 557 298.984
607 462.845
(B) 626 174.38
639 775.75
(P) 668 550.8
....
ColombiaColombian Peso, Millions1 228 264.3061 474 037.1351 839 555.2192 312 920.5422 940 529.4872 336 621.3072 403 237.1873 085 175.162
(E) 3 413 546.33
(E) 2 889 601.078
DenmarkDanish Krone, Millions54 383.456 494.757 320.757 73362 21065 19164 28166 83466 94568 991
EstoniaEuro, Millions384.447380.695326.045286.736302.82270.34304.32365.64452.97..
FranceEuro, Millions................53 427.81..
GermanyInformation on itemEuro, Millions75 569.07279 110.37879 729.50884 246.76688 781.81992 173.55699 553.616104 669.045110 025.41..
GreeceEuro, Millions1 391.1561 337.61 465.671 488.741 703.821 754.182 038.43..2 337.66..
HungaryForint, Millions336 537.3363 683.4420 100.3441 092.1468 389.7427 191.8517 258
(B) 654 163.1
702 199.3..
IcelandIceland Krona, Millions
(BE) 42 424.9
..................
IrelandEuro, Millions
(E) 2 665.9
(E) 2 733.892
(E) 2 813.14
(E) 2 967.2
(E) 3 108.7
(E) 3 175.1
(E) 3 675.3
(E) 3 812.432
(E) 4 370.61
..
IsraelInformation on itemNew Israeli Sheqel, Millions
(D) 37 566.1
(D) 41 267.9
(D) 43 281
(D) 46 230
(D) 49 704
(D) 55 268.692
(D) 59 552.493
(D) 64 350.472
(DE) 72 905.87
(D) 76 175.142
ItalyEuro, Millions19 810.620 502.520 983.1
(E) 21 781.275
22 157
(B) 23 171.612
23 793.6525 232.24326 259.661..
JapanYen, Millions15 945 05815 883 592
(B) 16 680 069
17 472 90717 436 05216 911 53817 512 261
(B) 17 919 014
17 954 89417 622 448
KoreaWon, Millions49 890 418.9555 450 115.64959 300 949.3363 734 126.79365 959 371.72769 405 529.88678 789 187.37585 728 714.73889 047 077.11893 071 686.49
LatviaEuro, Millions141.434145.374139.5162.8152.2110.4137.9186.2195.2..
LithuaniaEuro, Millions282.698298.367332.426376.827389.67327.612378.906426.306485.998..
LuxembourgEuro, Millions631.4
(B) 561.403
605.731630.3678712.1720.7
(E) 704.5
737.8..
New ZealandNew Zealand Dollar, Millions2 625..2 685..3 136..
(v) 3 922
..
(v) 4 549
..
NorwayNorwegian Krone, Millions45 440.448 043.550 748.253 866.960 209.263 344.869 176.15772 777.176 830.4..
PolandZloty, Millions11 686.714 352.914 423.816 168.2..17 94320 578.525 647.792....
PortugalEuro, Millions2 566.452 320.1332 258.4712 232.2492 234.372 388.4672 585.12 769.0722 991.8643 236.212
Slovak RepublicEuro, Millions468.439585.225610.876669.632927.272640.835748.955750.947776.59838.927
SloveniaEuro, Millions
(B) 894.213
928.306935.006890.232853.067811.953........
SpainEuro, Millions14 184.29513 391.60713 011.79812 820.75613 17213 26014 063.44414 94615 572..
SwedenSwedish Krona, Millions118 809
(E) 120 911
(E) 124 635
(E) 123 848
137 146
(E) 143 372
155 532..171 060..
SwitzerlandSwiss Franc, Millions..18 502.014....20 563.379..21 047.561..22 884.333..
TurkeyTurkish Lira, Millions11 154.1513 062.26314 807.32217 598.11720 615.24824 641.25229 855.47838 533.6745 953.69154 956.827
United StatesUS Dollar, Millions..........
(D) 522 652
(D) 556 343
(D) 607 474
....
Non-OECD EconomiesArgentinaArgentine Peso, Millions
(P) 12 406.017
(P) 16 853.054
(P) 20 837.734
(P) 27 130.745
36 831.0943 625.04559 304.4572 891.10799 664.344..
RomaniaRomanian Leu, Millions
(B) 2 786.83
2 872.7282 464.7792 555.6623 476.933 675.1424 317.0874 769.2795 065.332..
RussiaRussian Ruble, Millions610 426.7699 869.8749 797.6847 527914 669.1943 815.21 019 152.41 028 247.61 134 786.7..
South AfricaRand, Millions22 209.19223 871.21925 660.57329 344.97732 336.67935 692.97338 724.59......
Chinese TaipeiNew Taiwan Dollar, Millions415 356.704433 997.008458 433.181484 541.111511 618.321541 756.976574 501.661615 985.932660 511.293718 791.377
Legend:
BBreak
DDifference in methodology
EEstimated value
PProvisional value
vThe sum of the breakdown does not add to the total (see source and methods)
Data extracted on 27 Jun 2022 11:32 UTC (GMT) from OECD.Stat

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