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Revenue Statistics in Asian and Pacific Economies 2020

image of Revenue Statistics in Asian and Pacific Economies 2020

Revenue Statistics in Asian and Pacific Economies is jointly produced by the Organisation for Economic Co-operation and Development (OECD)’s Centre for Tax Policy and Administration (CTP) and the OECD Development Centre (DEV) with the co-operation of the Asian Development Bank (ADB), the Pacific Island Tax Administrators Association (PITAA), and the Pacific Community (SPC) and the financial support from the governments of Ireland, Japan, Luxembourg, Norway, Sweden and the United Kingdom. This edition includes a special feature on the tax policy and administration responses to COVID-19 in Asian and Pacific Economies.

It compiles comparable tax revenue statistics for Australia, Bhutan, People’s Republic of China, Cook Islands, Fiji, Indonesia, Japan, Kazakhstan, Korea, Malaysia, Mongolia, Nauru, New Zealand, Papua New Guinea, Philippines, Samoa, Singapore, Solomon Islands, Thailand, Tokelau and Vanuatu ; and comparable non-tax revenue statistics for Bhutan, the Cook Islands, Fiji, Kazakhstan, Mongolia, Nauru, Philippines, Papua New Guinea, Samoa, Thailand, Tokelau and Vanuatu. The model is the OECD Revenue Statistics database which is a fundamental reference, backed by a well-established methodology, for OECD member countries. Extending the OECD methodology to Asian and Pacific economies enables comparisons about tax levels and tax structures on a consistent basis, both among Asian and Pacific economies and with OECD, Latin American and Caribbean and African averages.

English

Table 3.18 - Gross domestic product for tax reporting years at market prices, in millions of US dollars at market exchange rates

English

Revenue Statistics in Asian and Pacific Economies 2020 - © OECD 2020

‌3.18Gross domestic product for tax reporting years at market prices, in millions of US dollars at market exchange rates
‌‌
‌1997‌
‌2000‌
‌2007‌
‌2010‌
‌2013‌
‌2014‌
‌2015‌
‌2016‌
‌2017‌
‌2018‌
Australia 1,2
436 263
 
408 375
 
985 048
 
1 299 443
 
1 542 380
 
1 464 150
 
1 249 051
 
1 311 576
 
1 415 970
 
1 448 282
 
Bhutan
..
 
..
 
..
 
1 666
 
1 999
 
1 992
 
2 205
 
2 297
 
2 477
 
2 719
 
China
961 601
 
1 211 331
 
3 550 327
 
6 087 192
 
9 570 470
 
10 475 625
 
11 061 573
 
11 233 315
 
12 310 490
 
13 894 907
 
Cook Islands 2
..
 
..
 
232
 
245
 
303
 
340
 
308
 
325
 
358
 
380
 
Fiji
2 268
 
..
 
3 688
 
3 402
 
4 539
 
4 857
 
4 682
 
4 930
 
5 353
 
5 537
 
Indonesia
259 373
 
180 566
 
472 983
 
755 256
 
916 646
 
891 051
 
860 741
 
932 066
 
1 015 292
 
1 042 613
 
Japan 1
4 408 334
 
4 900 526
 
4 508 703
 
5 690 809
 
5 197 390
 
4 896 054
 
4 404 734
 
4 933 774
 
4 880 376
 
4 981 073
 
Kazakhstan
22 166
 
18 292
 
104 850
 
148 047
 
236 635
 
221 416
 
184 388
 
137 289
 
166 806
 
179 340
 
Korea
557 962
 
561 792
 
1 122 446
 
1 095 096
 
1 305 518
 
1 411 196
 
1 382 579
 
1 414 614
 
1 530 466
 
1 619 970
 
Malaysia
100 169
 
93 790
 
193 614
 
255 024
 
323 276
 
338 066
 
301 355
 
301 255
 
318 955
 
358 579
 
Mongolia
1 181
 
1 137
 
4 235
 
7 185
 
12 582
 
12 227
 
11 750
 
11 159
 
11 426
 
13 138
 
Nauru
..
 
..
 
23
 
47
 
99
 
105
 
87
 
100
 
110
 
124
 
New Zealand 1,2
69 287
 
55 432
 
138 908
 
148 338
 
193 973
 
203 009
 
179 294
 
190 304
 
205 228
 
207 499
 
Papua New Guinea
7 442
 
3 499
 
9 545
 
14 251
 
21 261
 
23 211
 
21 723
 
20 759
 
23 716
 
25 111
 
Philippines
91 234
 
81 023
 
149 360
 
199 591
 
271 836
 
284 585
 
292 774
 
304 898
 
313 620
 
330 910
 
Samoa 2,3
286
 
256
 
649
 
686
 
785
 
826
 
850
 
806
 
841
 
880
 
Singapore 4
100 124
 
96 077
 
180 942
 
239 808
 
307 576
 
314 864
 
307 999
 
318 642
 
341 858
 
373 199
 
Solomon Islands
493
 
..
 
539
 
696
 
1 015
 
1 048
 
1 031
 
1 095
 
1 143
 
1 232
 
Thailand
150 180
 
126 392
 
262 943
 
341 105
 
420 334
 
407 339
 
401 266
 
413 489
 
456 382
 
506 399
 
Tokelau 2
..
 
..
 
6
 
7
 
9
 
10
 
10
 
10
 
13
 
11
 
Vanuatu
273
 
273
 
527
 
681
 
798
 
817
 
774
 
798
 
880
 
920
 
..
Not available
Note: This table is produced based on GDP data in national currency from Table 3.17 and exchange rate data from Table 3.20.
Disclaimer: http://oe.cd/disclaimer
1.
The year Y is calculated (at annual rate) as the average of: Q2(Y) to Q1(Y+1) for Japan; and Q3(Y) to Q2(Y+1) for Australia and New Zealand.
2.
Data are reported on a fiscal year basis beginning 1st July. For example, the data for 2018 represent the period from July 2018 to June 2019.
3.
The year Y is calculated using the formula GDP(Y)/2+GDP(Y-1)/2. This is done in order to make the value of the GDP correspond more closely to a July(Y-1)-to-June(Y) fiscal year.
4.
The year Y is calculated using the formula GDP(Y)*3/4+GDP(Y+1))/4 in order to make it correspond more closely to an April(Y)-to-March(Y+1) fiscal year.

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