In the United National General Assembly

 

Second Recount of UN Statistical Assessment; Base Year 2018 HA-25-1-24, HA-30-1-24, HA-16-2-24, HA-7-3-24

 

By Anthony J. Sanders

Hospitals & Asylums

 

Wash your nose; echinacea cures COVID, RSV and flu (Luke 3:16)

 

A total of 197 independent nations are counted in the Atlas.  Votes of no confidence in the UN General Assembly: (1) UN Data and World Bank estimates pertaining to Country by Country GNI and GDP must be deleted to base year 2018 and recalculated using IMF moderated economic growth rates published in World Economic Outlook: Navigating Global Divergences of October 2023 by IMF country visits.  (2) Both the Mid-year population on table beginning on page 114 of the 2022 Demographic Yearbook and UN Data population statistics must be cleaned up, so that Final Figure, incomplete/questionable reliability are all overruled by - Final Figure, complete – and consistent with the second recount of total population data in Annex I: Mid-year population, United Nations estimates: 2013 – 2022 on pages 692-696 of the 2022 Demographic Yearbook. (3) Overestimation of revenues 2020-2021 in the Budgetary and financial situation of the organizations of the United Nations system A/77/507 5 October 2022 (2016-2021) must be replaced with historical CEB statistics that have been destroyed by the United Nations, as the baseline for the UN Assembly to estimate UN revenue growth that is proportionate with global GNI growth.  (4)  2020 US Presidential election fraud justifies removing both geezers from the ballot and fingerprinting voters in the 2024 election. (5) The Secretary General is charged with $22 billion in arrears to UN Peacekeeping, paid $10 billion UN Security Council authorized US humanitarian assistance and $12 billion, over time, for 100,000 UN Peacekeepers and/or a new Peacekeeping Fund to sustain 3 percent inflation for UN Peacekeeping services that can be liquidated to pay for humanitarian assistance or UN Compensation to victims of armed conflict.  (6) Charge Israel ($50 billion), Mali ($5 million), Myanmar ($30 billion), Pakistan ($1.7 billion), Palestine ($50 million), Russia ($100 billion), Saudi Arabia ($24.8 billion), Syria ($60 billion), and the United States of America ($150 billion) with arrears due to owing UN Compensation in excess of two years of dues and need to criticize their vote under Art. 19 of the UN Charter.  (7) Israel vote of equal confidence with Palestine in regards to Membership under Art. 5 of the UN Charter and ad hoc judges under Art. 1(2) of the Rules and Art. 31 of the Statute of the Court.  (8) UN Compensation casualty insurance benefit estimates for current wars in Burkina Faso ($10.6 billion), Columbia ($353 million), Democratic Republic of Congo ($30-$60 billion), Ethiopia ($20 billion), Haiti ($1.1 billion), Mexico ($450 million), Sudan ($29.3 billion), Somalia ($18.5 billion), South Sudan ($12 billion), and Cameroon ($5.1 billion).

 

As of the New Year 2024 the Budgetary and financial situation of the organizations of the United Nations system A/77/507 5 October 2022 (2016-2021), that I had to sue for deceptively retroactive publication last year and a quarter, has not been updated for 2022, or even especially for June 2023 when the 42-month limit on $60-$70 billion blasphemy of the UN System should have ended (Rev. 13:5).  For the sake of UN Peacekeeping, who has been cursed with +/-$6.6 billion assessment since declining from $7.3 billion in 2018, it is time for the Assembly to update the annual Budgetary and financial situation of the organizations of the United Nations system (2016-2024).  Article 17 of the Charter of the United Nations provides that Member States have the obligation to bear the expenses of the Organization, as apportioned by the General Assembly.  The fundamental principle underlying the apportionment by the Assembly is based broadly on the capacity of Member States to pay, in accordance with rule 160 of its rules of procedure.  The General Assembly in resolution 76/238 (establishing the 2022-2024 scale) reaffirmed that the Committee on Contributions (CoC) as a technical body is required to prepare the scale of assessments strictly on the basis of reliable, verifiable and comparable data CoC (A/77/11, para. 20).  All agency assessments utilize similar methods of assessments.  Data are provided, in national currency, in response to the United Nations annual national accounts questionnaire.  National accounts data is then disseminated into US dollars in two separate databases: National Accounts Statistics, Main Aggregates and Detailed Tables (MADT) database and Analysis of Main Aggregates (AMA) database. 

 

All UN agency assessments adhere to a similar principal and pricing strategy based on GNI, so that the whole request of the UN system is about 1 percent of global taxable corporate income, or as the Committee on Contributions puts it, the Floor is the minimum assessment rate for Least Developed Countries (LDCs), that has changed from 0.01 to 0.001 per cent of the total agency assessment since the 1998-2000 scale and maximum ceiling of 22 percent for developed countries, ie. The US.  As a rule, States rebel against assessment inflation in excess of 3 percent pursuant to the Iron Law Wages, unless there are sufficiently popular grounds for calling in evasion of taxing all income one percent to pay an international poverty line benefit, ie. UN Peacekeeping assessment (Rev 13:5) and inclusion of reparations for state based armed conflicts in arrears.  The Assembly must first produce credible estimates of GNI to facilitate UN agencies to produce credible assessments of contributions, for the settlement of the permanent record of receipts for 2022 and 2023 and is also challenged to produce a conservative estimate for 2024, so that the UN system is fiscally self-determinate and no longer needs to be held in trust by Hospitals & Asylums (HA).  There is a two-year delay before the economic statistics in the UN Department of Economic and Social Affairs World Statistics Pocketbook are updated, ie. Footnotes in the 2023 Pocketbook tabulates GDP data from 2021, and not the requisite GNI data, maintained by UN Data also until 2021, at the beginning of calendar year 2024. The GDP and GNI overestimates have been used to overestimate dues.  Overestimates of dues resulted in non-payment of said overestimates and consequently the retraction of preliminary overestimates.  The UN is however back to square one.  The size of the COVID-19 economic collapse and recovery suffers from overestimation.

 

The Assembly must produce credible GNI estimates using UN data from 2018 as a base year, multiplied by national IMF economic growth rates percentages, for 2019-2024.  Globally, the COVID-19 pandemic reduced world economic growth to 2.8 percent in 2019, -2.8 percent in 2020, with catch-up growth of 6.3 percent in 2021.  The baseline forecast for post-COVID growth to slow from 3.5 percent in 2022 to 3.0 percent in 2023 and 2.9 percent in 2024, well below the historical (2000–19) average of 3.8 percent (whereas the UN has not yet given the belated order to wash your nose - echinacea cures COVID, RSV and flu, nor has the conduct of the UN indicated survivors have recovered from the brain-shrinking effect of using pseudoephedrine to cure COVID, whereas the COVID vaccine is nearly as placebo as the flu, neither of which are due any more subsidy than Portuguese hard drugs).  The October 2023 World Economic Outlook provides the country-by-country economic growth statistics that are needed to update the UN Data GNI estimates from 2022.  Reciprocity requires the author to tabulate the 2019-2024 GNI estimates for Assembly to produce 2022-2024 update of Budgetary and financial situation of the organizations of the United Nations system (2016-2024), however, before getting through the A’s, and after adding 2018-2020 columns, in four hours, it is estimated to take at least another week of work.  In the preliminary table, agreed upon 2021 GNI data was at first considered true and 2022 data overestimates usually overruled by IMF economic growth rates, but there is also sporadic tendency to overestimate the severity of the COVID contraction in UN Data, due its preliminary effect, in UN Data, wherefore the inquisition into GNI and GDP data must begin in 2018, before the COVID-19 pandemic.    

 

Gross National Income; By Country 2018-2024

(Millions of US Dollars)

 

Nations

Area

2018

%

2019

%

2020

%

2021

%

2022

%

2023

%

2024

197

World a

86,802,293

2.5

88,984,387

-2.7

86,511,289

5.9

91,746,272

3.3

94,719,588

2.5

97,176,116

2.4

99,535,989

1

Afghanistan b

19,052

3.9

19,795

-2.4

19,320

-20.7

15,321

-6.2   

14,371

-3

13,940

-3

13,522

2

Albania

15,137

2.1

15,455

-3.3

14,945

8.9

16,275

4.8

17,056

3.6

17,670

3.3

18,253

3

Algeria

179,763

1.0

181,560

-5.1

172,301

3.4

178,159

3.2

183,860

3.8

190,847

3.1

196,763

4

Andorra

3,218

2.0

3,282

-11.2

2,915

8.3

3,157

8.8

3,435

2.1

3,507

1.5

3,559

5

Angola

93,075

-0.7

92,424

-5.6

87,248

1.2

88,295

3.0

90,944

1.3

92,126

3.3

95,166

6

Antigua & Barbuda

1,558

4.3

1,625

-17.5

1,341

6.6

1,429

8.5

1,551

5.6

1,637

5.6

1,729

7

Argentina

506,094

-2.0

495,972

-9.9

446,871

10.7

494,686

5.0

519,420

-2.5

506,435

2.8

520,615

8

Armenia

12,677

7.6

13,641

-7.2

12,658

5.7

13,380

12.6

15,066

7.0

16,120

5.0

16,926

9

Australia

1,612,250

1.9

1,642,883

-1.8

1,613,311

5.2

1,697,203

3.7

1,760,000

1.8

1,791,680

1.2

1,813,180

10

Austria

450,536

1.5

457,294

-6.5

427,570

4.6

447,238

4.8

468,706

0.1

469,174

0.8

472,928

11

Azerbaijan

44,853

2.5

45,974

-4.2

44,503

5.6

46,995

4.6

49,157

2.5

50,386

2.5

51,646

12

Bahamas

12,340

-0.7

12,253

-23.5

9,374

17.0

10,968

14.4

12,547

4.3

13,087

1.8

13,322

13

Bahrain

35,726

2.2

36,512

-4.6

34,832

2.6

35,738

4.9

37,489

2.7

38,501

3.6

39,888

14

Bangladesh

328,851

7.9

354,830

3.4

366,895

6.9

392,211

7.1

420,058

6.0

445,261

6.0

471,977

15

Barbados

4,859

-0.5

4,835

-13.3

4,192

-0.2

4,183

9.8

4,593

4.5

4,800

3.9

4,987

16

Belarus

57,861

1.4

58,671

-0.7

58,260

2.3

59,600

-3.7

57,395

1.6

58,314

1.3

59,072

17

Belgium

548,108

2.3

560,715

-5.4

530,436

6.3

563,853

3.2

581,897

1.0

587,716

0.9

593,005

18

Belize

2,138

4.5

2,234

-13.4

1,935

15.2

2,229

12.7

2,512

4.0

2,613

3.0

2,691

19

Benin

14,106

-0.7

14,007

-5.6

13,223

1.2

13,382

3.0

13,783

1.3

13,962

3.3

14,423

20

Bhutan

2,363

4.4

2,467

-2.3

2,410

-3.3

2,331

4.8

2,442

5.3

2,572

3.0

2,649

21

Bolivia

39,337

2.2

40,202

-8.7

36,705

6.1

38,944

3.5

40,307

1.8

41,032

1.8

41,771

22

Bosnia& Herzegovina

20,367

2.9

20,958

-3.0

20,329

7.4

21,833

4.1

22,728

2.0

23,183

4.3

24,180

23

Botswana

15,448

3.0

15,911

-8.7

14,527

11.9

16,255

5.8

17,198

3.8

17,852

4.1

18,584

24

Brazil

1,863,631

1.2

1,885,995

-3.3

1,823,757

5.0

1,914,945

2.9

1,970,478

3.1

2,029,592

1.5

2,060,036

25

Brunei

13,651

3.9

14,184

1.1

14,339

-1.6

14,110

-1.6

13,884

-0.8

13,773

3.5

14,255

26

Bulgaria

64,183

4.0

66,750

-4.0

64,080

7.6

68,950

3.4

71,295

1.7

72,507

3.2

74,827

27

Burkina Faso

15,388

5.7

16,265

1.9

16,574

6.9

17,718

1.5

17,984

4.4

18,775

6.4

19,976

28

Burundi

3,324

1.8

3,384

0.3

3,394

3.1

3,499

1.8

3,562

3.3

3,680

6.0

3,901

29

Cabo Verde

2,158

6.9

2,307

-19.6

1,855

6.4

1,974

17.0

2,309

4.4

2,411

6.4

2,565

30

Cambodia

23,240

6.0

24,634

2.2

25,176

8.4

27,291

3.0

28,110

5.0

29,515

4.2

30,755

31

Cameroon

39,290

2.5

40,272

2.5

41,279

2.3

42,229

6.3

44,889

7.2

48,121

4.8

50,431

32

Canada

1,696,048

1.9

1,728,273

-5.1

1,640,131

5.0

1,722,138

3.4

1,780,690

1.3

1,803,839

1.6

1,832,701

33

Central-African Republic

2,286

3.0

2,355

1.0

2,378

1.0

2,402

0.5

2,414

1.0

2,438

2.5

2,499

34

Chad

15,138

3.4

15,653

-2.1

15,324

-1.2

15,140

3.4

15,655

4.0

16,281

4.2

16,965

35

Chile

283,295

0.7

285,278

-6.1

267,876

11.7

299,218

2.4

306,399

-0.5

304,867

1.6

309,745

36

China c

14,261,574

5.8

15,086,530

1.8

15,385,326

8.3

16,666,482

2.9

17,141,380

5.0

17,994,211

4.2

18,743,827

37

Colombia

325,925

3.2

336,355

-7.3

311,801

11.0

346,099

7.3

371,364

1.4

376,563

2.0

384,094

38

Comoros

1,195

1.8

1,217

-0.2

1,214

2.1

1,240

2.6

1,272

3.0

1,310

3.5

1,356

39

Congo, Republic of

11,650

1.1

11,778

-6.3

11,036

1.1

11,147

1.7

11,336

4.0

11,789

4.2

12,285

40

Congo, Democratic Republic of the

46,297

4.5

48,380

1.7

49,203

6.2

52,253

8.9

56,904

6.7

60,717

4.7

63,570

41

Costa Rica

59,042

0.2

59,160

-7.0

55,019

7.3

59,035

4.1

61,456

2.3

62,869

2.3

64,315

42

Cote d’Ivoire

56,893

6.5

60,591

1.7

61,621

7.0

65,935

6.7

70,352

6.2

74,714

6.6

79,645

43

Croatia

61,922

3.4

64,027

-8.5

58,585

13.1

66,260

6.2

70,368

2.7

72,268

2.6

74,147

44

Cuba

97,800

-0.16

97,644

-10.95

86,952

12.2

97,560

2.0

99,511

-1.7

97,819

2.0

99,776

45

Cyprus

24,661

0.6

24,809

-1.1

24,536

2.2

25,076

8.1

27,107

3.5

28,056

2.4

28,729

46

Czech Republic

235,331

2.8

241,920

3.2

249,662

3.8

259,149

15.1

298,280

10.9

330,793

4.6

346,009

47

Denmark

366,755

0.7

369,322

0.3

370,430

1.9

377,468

8.5

409,553

4.2

426,754

2.8

438,703

48

Djibouti

2,781

3.3

2,873

1.8

2,925

1.2

2,960

5.2

3,114

1.2

3,151

1.8

3,208

49

Dominica

556

1.5

564

-0.7

560

1.6

569

6.8

608

6.2

646

2.8

664

50

Dominican Republic

81,864

1.8

83,338

3.8

86,504

8.2

93,598

8.8

101,834

4.9

106,824

4.2

111,311

51

Ecuador

104,605

0.3

104,919

-0.3

104,604

0.1

104,709

3.5

108,374

2.3

110,866

1.8

112,862

52

Egypt d

243,779

5.6

257,431

-1.1

254,599

4.5

266,056

8.5

288,671

4.2

300,795

3.6

311,624

53

El Salvador

24,551

0.1

24,576

-0.4

24,477

3.5

25,334

7.2

27,158

4.4

28,353

2.4

29,033

54

Equatorial Guinea

11,356

1.2

11,492

4.8

12,044

-0.1

12,032

4.9

12,621

2.4

12,924

4.0

13,441

55

Eritrea e

1,983

1.3

2,009

3.8

2,085

3.0

2,148

3.0

2,212

3.0

2,279

3.0

2,347

56

Estonia

29,976

4.0

31,175

-1.0

30,863

7.2

33,085

-0.5

32,920

-2.3

32,163

2.4

32,935

57

Eswatini

4,342

2.7

4,459

-1.6

4,388

7.9

4,735

3.6

4,905

3.1

5,057

3.3

5,224

58

Ethiopia

79,851

9.0

87,038

6.1

92,347

6.3

98,165

6.4

104,448

6.1

110,819

6.2

117,690

59

Fiji

5,222

-0.6

5,191

-17.0

4,308

-4.9

4,097

20.0

4,916

7.5

5,285

3.9

5,491

60

Finland

276,816

1.2

280,138

-2.4

273,415

3.2

282,164

1.6

286,678

-0.1

286,392

1.0

289,256

61

France

2,855,661

1.9

2,909,919

-7.7

2,685,855

6.4

2,857,750

5.8

3,023,499

2.5

3,099,086

1.7

3,151,771

62

Gabon

15,755

3.8

16,354

-1.8

16,059

1.5

16,300

3.0

16,789

2.8

17,259

2.6

17,708

63

Gambia

1,642

6.2

1,744

0.6

1,754

5.3

1,847

4.9

1,938

5.6

2,046

5.2

2,153

64

Georgia

16,915

5.0

17,761

-6.8

16,553

10.5

18,291

10.1

20,139

6.2

21,387

4.8

22,414

65

Germany

4,108,435

1.1

4,153,625

3.8

4,311,463

3.2

4,449,429

1.8

4,529,519

-0.5

4,506,871

0.9

4,547,433

66

Ghana

64,249

6.5

68,425

0.5

68,767

5.1

72,274

3.1

74,515

1.2

75,409

2.7

77,445

67

Greece

209,712

1.9

213,697

-9.0

194,464

8.4

210,799

5.9

223,236

2.5

228,817

2.0

233,394

68

Grenada

1,052

0.7

1,059

-13.8

913

4.7

956

6.4

1,017

3.9

1,057

3.8

1,097

69

Guatemala

71,826

4.0

74,699

-1.8

73,354

8.0

79,223

4.1

82,471

3.4

85,275

3.5

88,260

70

Guinea

11,449

5.6

12,090

4.7

12,658

5.0

13,291

4.3

13,863

5.9

14,681

5.6

15,503

71

Guinea-Bissau

1,379

4.5

1,441

1.5

1,463

6.4

1,556

4.2

1,622

4.5

1,695

5.0

1,779

72

Guyana f

5,135

5.4

5,412

43.5

7,767

20.1

9,328

62.3

15,139

38.4

20,952

26.6

26,526

73

Haiti

15,779

-1.7

15,511

-3.3

14,999

-1.8

14,729

-1.7

14,479

-1.5

14,261

1.4

14,461

74

Holy See

18

0

18

0

18

0

18

0

18

0

18

0

18

75

Honduras

22,173

2.7

22,772

-9.0

20,722

12.5

23,313

4.0

24,245

2.9

24,948

3.2

25,746

76

Hungary

154,277

4.9

161,837

-4.5

154,554

7.2

165,682

4.6

173,303

-0.3

172,783

3.1

178,140

77

Iceland

26,701

1.9

27,208

-7.2

25,249

4.5

26,386

7.2

28,285

3.3

29,219

1.7

29,715

78

India       

2,733,616

3.9

2,840,227

-5.8

2,675,494

9.1

2,918,964

7.2

3,129,129

6.3

3,326,264

6.3

3,535,819

79

Indonesia

1,011,213

5.0

1,061,774

-2.1

1,039,476

3.7

1,077,937

5.3

1,135,068

5.0

1,191,821

5.0

1,251,412

80

Iran

318,738

-3.1

308,857

3.3

319,049

4.7

334,045

3.8

346,738

3.0

357,141

2.5

366,069

81

Iraq

209,259

5.4

220,559

-12.1

193,871

1.6

196,973

7.0

210,761

-2.7

205,071

2.9

211,018

82

Ireland

300,093

5.3

315,998

6.6

336,854

15.1

387,719

9.4

424,164

2.0

432,648

3.3

446,925

83

Israel

374,877

3.8

389,122

-1.5

383,286

9.3

418,931

6.5

446,162

3.1

459,993

3.0

473,792

84

Italy

2,115,037

0.5

2,125,612

-9.0

1,934,307

7.0

2,069,709

3.7

2,146,288

0.7

2,161,312

0.7

2,176,441

85

Jamaica

14,991

1.0

15,141

-9.9

13,642

4.6

14,270

5.2

15,012

2.0

15,312

1.8

15,587

86

Japan

5,233,677

-0.4

5,212,742

-4.2

4,993,807

2.2

5,103,671

1.0

5,154,708

2.0

5,257,802

1.0

5,310,380

87

Jordan

43,171

1.8

43,948

-1.6

43,245

2.2

44,196

2.5

45,301

2.6

46,479

2.7

47,734

88

Kazakhstan

157,201

4.5

164,275

-2.6

160,004

4.1

166,564

3.3

172,061

4.6

179,976

4.2

187,534

89

Kenya

90,812

5.1

95,443

-0.3

95,157

7.6

102,389

4.8

107,304

5.0

112,669

5.3

118,640

90

Kiribati

367

-2.1

359

-1.4

354

7.9

382

1.2

387

2.6

397

2.4

406

91

Korea, North

17,516

0.4

17,586

-4.5

16,795

-0.1

16,778

-0.2

16,744

1.0

16,912

2.3

17,301

92

Korea, South

1,731,702

2.2

1,769,799

-0.7

1,757,411

4.3

1,832,980

2.6

1,880,637

1.4

1,906,966

2.2

1,948,919

93

Kosovo

8,012

4.8

8,397

-5.3

7,952

10.7

8,802

3.5

9,111

3.8

9,457

4.0

9,835

94

Kuwait

156,539

-0.6

155,600

-8.9

141,751

1.1

143,169

8.9

155,911

-0.6

154,976

3.6

160,555

95

Kyrgyz Republic

8,020

4.6

8,389

-7.1

7,793

5.5

8,222

6.3

8,740

3.4

9,037

4.3

9,426

96

Laos

17,355

4.7

18,171

-0.4

18,098

2.1

18,478

2.3

18,903

4.0

19,659

4.0

20,446

97

Latvia

33,883

2.6

34,764

-2.3

33,964

4.3

35,425

2.8

36,417

0.5

36,599

2.6

37,550

98

Lebanon g

53,789

-6.9

50,078

-25.9

37,108

-10.0

33,397

0.0

33,397

0.2

33,464

1.4

33,932

99

Lesotho

3,041

-2.0

2,980

-3.9

2,864

1.8

2,916

2.1

2,977

2.1

3,039

2.3

3,109

100

Liberia

2,378

-2.5

2,319

-3.0

2,249

5.0

2,361

4.8

2,475

4.6

2,589

5.3

2,726

101

Libya

76,930

-11.2

68,314

-29.5

48,161

28.3

49,510

-9.6

44,757

12.5

50,351

7.5

54,128

102

Liechtenstein

6,918

-3.8

6,669

-5.9

6,276

9.2

6,853

5.0

7,196

0.2

7,210

1.5

7,318

103

Lithuania

52,085

4.6

54,481

0.0

54,481

6.0

57,750

1.9

58,847

-0.2

58,729

2.7

60,315

104

Luxembourg

50,751

2.9

52,223

-0.9

51,753

7.2

55,479

1.4

56,256

-0.4

56,031

1.5

56,871

105

Macedonia

12,151

3.9

12,625

-4.7

12,032

3.9

12,501

2.1

12,763

2.5

13,082

3.2

13,501

106

Madagascar

13,300

3.2

13,726

4.4

14,330

-7.1

14,172

5.7

14,980

4.0

15,579

4.8

16,327

107

Malawi

9,655

0.9

9,742

4.6

10,190

0.8

10,272

1.7

10,446

3.3

10,791

4.6

11,287

108

Malaysia

347,616

4.4

362,911

-5.5

342,951

3.3

354,268

8.7

385,090

4.0

400,493

4.3

417,715

109

Maldives

4,902

6.9

5,240

-33.4

3,490

41.7

4,945

13.9

5,633

8.1

6,089

5.0

6,393

110

Mali

16,561

4.8

17,356

-1.2

17,148

3.1

17,679

3.7

18,333

4.5

19,158

4.8

20,078

111

Malta

134,968

7.1

144,551

-8.1

132,842

12.3

149,182

6.9

159,475

3.8

165,535

3.3

170,998

112

Marshall Islands

273

10.3

301

-2.9

292

1.0

295

-4.5

282

3.0

291

3.0

299

113

Mauritania

6,787

5.4

7,154

-0.9

7,089

2.4

7,259

6.5

7,731

4.5

8,079

5.3

8,507

114

Mauritius

14,938

2.9

15,371

-14.6

13,127

3.4

13,573

8.7

14,754

5.1

15,507

3.8

16,096

115

Mexico

1,223,822

-0.3

1,220,151

-8.7

1,113,997

5.8

1,178,609

3.9

1,224,575

3.2

1,263,762

2.1

1,289,037

116

Micronesia

1,492

1.2

1,510

-2.8

1,468

-2.2

1,435

-0.6

1,427

2.6

1,464

3.1

1,509

117

Moldova

11,803

3.6

12,228

-8.3

11,213

13.9

12,772

-5.0

12,133

2.0

12,376

4.3

12,908

118

Monaco

7,194

6.9

7,690

-13.0

6,691

21.6

8,136

11.1

9,039

1.75

9,197

1.75

9,358

119

Mongolia

11,943

5.6

12,612

-4.6

12,032

1.6

12,224

5.0

12,835

5.5

13,541

4.5

14,151

120

Montenegro

5,572

4.1

5,801

-15.3

4,913

13.0

5,552

6.1

5,890

4.5

6,155

3.7

6,383

121

Morocco

125,425

2.9

129,062

-7.2

119,770

8.0

129,351

1.3

131,033

2.4

134,178

3.6

139,008

122

Mozambique

14,725

2.3

15,064

-1.2

14,883

2.4

15,240

4.2

15,880

7.0

16,992

5.0

17,841

123

Myanmar

68,926

6.8

73,613

3.2

75,969

-17.9

62,370

2.0

63,618

2.6

65,272

2.6

66,969

124

Namibia

13,177

-0.8

13,072

-8.1

12,013

3.5

12,433

4.6

13,005

2.8

13,369

2.7

13,730

125

Nauru

159

9.1

174

4.1

181

2.9

186

1.9

190

0.5

191

1.3

193

126

Nepal

31,940

6.7

34,080

-2.4

33,262

4.8

34,859

5.6

36,811

0.8

37,105

5.0

38,961

127

Netherlands

910,599

2.0

928,811

-3.9

892,587

6.2

947,928

4.3

988,689

0.6

994,621

1.1

1,005,562

128

New Zealand

204,236

3.1

210,567

-1.5

207,409

6.1

220,061

2.7

226,002

1.1

228,488

1.0

230,773

129

Nicaragua

12,376

-2.9

12,017

-1.8

11,801

10.3

13,016

3.8

13,511

3.0

13,916

3.3

14,376

130

Niger

12,659

6.1

13,431

3.5

13,901

1.4

14,096

11.9

15,773

4.1

16,420

11.1

18,243

131

Nigeria

384,819

2.2

393,285

-1.8

386,206

3.6

400,109

3.3

413,313

2.9

425,299

3.1

438,483

132

Norway

457,570

1.1

462,603

-1.3

456,689

3.9

474,396

3.3

490,052

2.3

501,323

1.5

508,843

133

Oman

86,515

-1.1

85,563

-3.4

82,654

3.1

85,217

4.3

88,881

1.2

89,947

2.7

92,376

134

Pakistan

334,330

3.1

344,694

-0.9

341,592

5.8

361,404

6.1

383,450

-0.5

381,533

2.5

391,071

135

Palau

281

1.4

285

-7.0

265

-13.4

230

-2.0

225

0.8

227

12.4

255

136

Palestine h

19,064

1.4

19,331

-11.3

17,147

7.0

18,347

3.9

19,062

-6.2

18,643

-5.0

17,711

137

Panama

61,741

3.3

63,779

-17.7

52,490

15.8

60,783

10.8

67,348

6.0

71,389

4.0

74,244

138

Papua New Guinea

23,596

4.5

24,658

-3.2

23,869

0.1

23,893

4.3

24,920

3.0

25,668

5.0

26,951

139

Paraguay

38,887

-0.4

38,732

-0.8

38,422

4.0

39,959

0.1

39,998

4.5

41,798

3.8

43,387

140

Peru

211,618

2.2

216,274

-11.0

192,484

13.3

218,084

2.7

223,972

1.1

226,436

2.7

232,550

141

Philippines

383,817

6.1

407,230

-9.5

368,543

5.7

389,550

7.6

419,156

5.3

441,371

5.9

467,412

142

Poland

563,995

4.4

588,811

-2.0

577,035

6.9

616,850

5.1

648,309

0.6

652,199

2.3

667,200

143

Portugal

236,395

2.7

242,778

-8.3

222,627

5.5

234,872

6.7

250,608

2.3

256,372

1.5

260,218

144

Qatar

179,590

0.7

180,847

-3.6

174,337

1.5

176,952

4.9

185,623

2.4

190,078

2.2

194,259

145

Romania

236,850

3.8

245,850

-3.7

236,754

5.9

250,722

4.7

262,506

2.2

268,281

3.8

278,476

146

Russia

1,616,937

2.2

1,652,510

-2.7

1,607,892

5.6

1,697,934

-2.1

1,662,277

2.2

1,698,847

1.1

1,717,535

147

Rwanda

9,289

9.5

10,172

-3.4

9,826

10.9

10,897

8.2

11,790

6.2

12,521

7.0

13,398

148

Saint Kitts & Nevis

1,030

4.1

1,072

-14.6

916

-0.9

910

8.8

990

4.9

1,039

3.8

1,078

149

Saint Lucia

1,954

-0.2

1,950

-23.6

1,490

11.3

1,658

15.7

1,919

3.2

1,980

2.3

2,026

150

Saint Vincent and the Grenadines

903

0.7

909

-3.7

876

0.8

883

5.5

931

6.2

989

5.0

1,038

151

Samoa

858

4.5

897

-3.1

869

-7.1

807

-5.3

764

8.0

825

3.6

855

152

San Marino

1,508

2.0

424

-6.8

398

14.2

455

5.0

477

2.2

488

1.3

494

153

Sao Tome and Principe

416

2.0

424

2.6

435

1.9

444

0.1

444

0.5

446

2.4

457

154

Saudi Arabia

854,295

0.8

861,129

-4.3

824,101

3.9

856,241

8.7

930,734

0.8

938,180

4.0

975,707

155

Senegal

22,474

4.6

23,508

1.3

23,813

6.5

25,361

4.0

26,376

4.1

27,457

8.8

29,873

156

Serbia

48,056

4.3

50,122

-0.9

49,671

7.5

53,397

2.3

54,625

2.0

55,717

3.0

57,389

157

Seychelles

1,699

5.2

1,787

-8.5

1,635

2.5

1,676

8.9

1,826

4.2

1,903

3.9

1,977

158

Sierra Leone

4,049

5.3

4,264

-2.0

4,178

4.1

4,350

4.0

4,524

2.7

4,646

4.7

4,864

159

Singapore i

330,660

1.3

334,959

-3.9

321,895

8.9

350,544

3.6

363,163

1.0

366,795

1.0

370,463

160

Slovak Republic

104,467

2.5

107,079

-3.3

103,545

4.9

108,619

1.7

110,465

1.3

111,901

2.5

114,699

161

Slovenia

53,372

3.5

55,240

-4.2

52,920

8.2

57,259

2.5

58,691

2.0

59,865

2.2

61,182

162

Solomon Islands

1,595

1.7

1,622

-3.4

1,567

-0.6

1,558

-4.1

1,494

2.5

1,531

2.4

1,568

163

Somalia

8,230

3.6

8,526

-2.6

8,305

3.3

8,579

2.4

8,785

2.8

9,031

3.7

9,365

164

South Africa

394,808

0.3

395,992

-6.0

372,233

4.7

389,728

1.9

397,133

0.9

400,707

1.8

407,920

165

Spain

1,423,752

2.0

1,452,227

-11.2

1,289,578

6.4

1,372,111

5.8

1,451,693

2.5

1,487,985

1.7

1,513,281

166

Sri Lanka j

92,096

1.7

93,662

-3.4

90,477

-0.6

89,934

-4.1

86,247

-3.8

82,970

1.7

84,380

167

Sudan

50,189

-2.5

48,934

-3.6

47,173

0.5

47,409

-2.5

46,223

-18.3

37,764

0.3

37,878

168

Sudan, South

3,496

0.9

3,528

-6.5

3,298

5.3

3,473

0.5

3,490

3.5

3,613

4.2

3,764

169

Suriname

3,606

1.1

3,646

-15.9

3,066

-2.7

2,983

1.0

3,013

2.1

3,076

3.0

3,168

170

Sweden

566,552

2.0

577,883

-2.2

565,170

6.1

599,645

2.8

616,435

-0.7

612,120

0.6

615,793

171

Switzerland

699,353

1.2

707,745

-2.3

691,467

5.4

728,806

2.7

748,484

0.9

755,221

1.8

768,814

172

Syria

20,710

1.2

20,959

-3.9

20,142

1.3

20,403

-3.5

19,689

-3.2

19,059

5.0

20,012

173

Taiwan

609,200

3.1

628,085

3.4

649,440

6.5

691,654

2.4

708,253

0.8

713,919

3.0

735,337

174

Tajikstan

8,991

7.4

9,656

4.4

10,081

9.4

11,029

8.0

11,911

6.5

12,685

5.0

12,320

175

Tanzania k

56,700

7.0

60,669

4.8

63,581

4.9

66,697

4.7

69,831

5.2

73,463

6.1

77,944

176

Thailand

482,265

2.1

492,393

-6.1

462,357

1.5

469,292

2.6

481,494

2.7

494,494

3.2

510,318

177

Timor-Leste

2,246

2.1

2,293

-8.3

2,080

2.9

2,140

3.9

2,224

1.5

2,257

3.1

2,327

178

Togo

7,057

4.9

7,403

2.0

7,551

6.0

8,004

5.8

8,468

5.4

8,925

5.3

9,399

179

Tonga

509

0.7

513

0.5

515

-2.7

501

-2.0

491

2.6

504

2.5

517

180

Trinidad & Tobago

23,862

0.4

23,957

-9.1

21,777

-1.0

21,560

1.5

21,883

2.5

22,430

2.2

22,924

181

Tunisia

41,650

1.6

42,316

-8.8

38,593

4.4

40,291

2.5

41,298

1.3

41,835

1.9

42,630

182

Turkey

767,890

0.8

774,033

1.9

788,740

11.4

878,656

5.5

926,982

4.0

964,062

3.0

992,983

183

Turkmenistan

39,044

-3.4

37,717

-2.9

35,114

4.6

36,729

1.6

37,317

2.5

38,250

2.1

39,053

184

Tuvalu

70

13.8

80

-4.3

76

1.8

78

0.7

78

3.9

81

3.5

84

185

Uganda

33,117

7.6

35,634

-1.2

35,206

5.7

37,213

6.4

39,595

4.6

41,416

5.7

43,777

186

Ukraine

132,165

3.2

136,394

-3.8

131,211

3.4

135,673

-29.1

96,192

2.0

98,116

3.2

101,255

187

United Arab Emirates

428,474

1.1

433,187

-5.0

411,528

4.4

429,635

7.9

463,576

3.4

479,338

4.0

498,511

188

United Kingdom

2,832,315

1.6

2,877,632

-11.0

2,561,093

7.6

2,755,736

4.1

2,868,721

0.5

2,883,064

0.6

2,900,363

189

United States

21,063,228

2.3

21,547,682

-2.8

20,944,347

5.9

22,180,064

2.1

22,645,845

2.1

23,121,408

1.5

23,468,229

190

Uruguay

61,535

0.7

61,966

-6.3

58,062

5.3

61,139

4.9

64,135

1.0

64,776

3.2

66,849

191

Uzbekistan

54,383

6.0

57,646

2.0

58,799

7.4

63,150

5.7

66,750

5.5

70,421

5.5

74,294

192

Vanuatu

941

3.2

971

-5.0

923

0.6

928

1.9

946

1.5

960

2.6

985

193

Venezuela

171,901

-27.7

124,284

-30.0

86,999

1.0

87,869

8.0

94,899

4.0

98,695

4.5

103,136

194

Vietnam

294,286

7.4

316,063

2.9

325,229

2.6

333,685

8.0

360,380

4.7

377,318

5.8

399,202

195

Yemen

26,582

2.1

27,140

-8.5

24,833

-1.0

24,585

1.5

24,954

-0.5

24,829

2.0

25,326

196

Zambia l

25,904

2.3

26,500

-2.8

25,758

4.5

26,917

3.0

27,725

4.3

28,917

4.3

30,160

197

Zimbabwe m

23,152

-3.9

22,238

-4.7

21,183

11.1

23,524

4.5

24,583

4.8

25,763

3.5

26,664

Source: GNI by Country in US Dollars, UN Data 2018; Economic growth, World Economic Outlook: Navigating Global Divergences, IMF October 2023

 

a Data for Cuba, Liechtenstein, Monaco, North Korea, Syria and Taiwan economic growth had to be searched online by year in the second pass. The North Korean economy may be much larger than the UN gives them credit for with estimates of $28 billion in 2016 with $100 billion in purchasing power parity, taking into consideration the mountain of free housing, minerals of military utility and scarcity of food.  Cuban growth rates for 2019 and 2020 were the most challenging calculations of the year. b Afghan economy has declined since 2019 and is estimated to continue to decline -3.0 percent annually for 2023 and 2024. c China (mainland), Hong Kong and Macao are combined to make 197 independent nations, rather than 209 initially reported in the second recount. d Egypt's real GDP growth projection for 2023 is 4.2 percent and 3.6 percent in 2024, 5.6 percent growth is estimated for 2019. e Eritria growth rate of 3.8 percent in 2019 is last reported estimate, 3 percent projected 2020-2024. f Guyana economic growth is obviously overestimated, but it is corroborated, following record real GDP growth in 2022—62.3 percent, the highest in the world—real GDP is expected to continue to grow extremely fast in 2023 (38 percent). g Lebanese economic growth recovered to 0.2 percent in 2023 and 1.4 percent in 2024. h Palestine Central Bureau of Statistics estimates a -6.2 percent decline in 2023, -33 percent in third quarter, -80 percent in Gaza, and -5 percent in 2024.  i Singapore not reported in World Economic Outlook, but by IMF website, growth is estimated to continue at one percent in 2024. j Sri Lanka economic growth is estimated at -3.8 percent in 2023 and 1.7 percent in 2024 by the World Bank. k The GDP of the both Republics of Tanzania: Mainland and Zanzibar have been combined. l Zambia GDP is reduced by IMF consultations. m Zimbabwe IMF staff visit October 2023, reduces growth estimates to 4.5 percent in 2022, 4.8 percent in 2023 and 3.5 percent in 2024. 

 

World income, by national total GNI, is estimated to have been $86.8 trillion in 2018, growing 2.5 percent to $89.0 trillion in 2019, contracting -2.6 percent to $86.7 trillion in 2020, catch-up growth of 5.9 percent to $981.8 trillion in 2021, before slowing down to 3.3 percent to $94.8 trillion in 2022, 2.6 percent to $97.2 trillion in 2023 and $99.6 trillion in 2024.  The IMF total world real GDP growth estimate of 2.8 percent growth 2018-2019 is downgraded to 2.5 percent by this summary of GNI, however it is important to note that the debate regarding GDP has not yet begun.  Catch-up growth was quickly exhausted, and economic growth is slowing down, but remains bullish.  It will be necessary for the author to use the same IMF growth rate table again to produce a global GDP total using 2018 as a base year, before having an atlas update worth publishing.  I must first, however make amends for not comprehending the footnote in the World Statistical Pocketbook that GDP estimates for 2018, were from 2016, and the GWP was accordingly underestimated by two years, before publication of this work, that is, in its preliminary form, primarily obligated to facilitate the update of the UN System budget, as a layperson, who may have to research the scales of assessment by country for every agency, if the Assembly is unable to perform, after having their GNI homework done for them.  As a rule, UN Statistics and especially budgets need to be more forward-thinking, into the next year, with reasonable assumptions regarding future growth, that are competently reviewed.  Admittedly, there is about a 0.3 percent margin of error between IMF world GNI estimate and the world GNI totals in this work.  In other words, IMF world economic growth estimate(s) are about 12 percent higher than the sum of this work plugging in IMF real GDP growth estimates country by country, since 2018.  There may be as much as a one percent margin of error real from using GDP growth estimates produced by the IMF to adjust GNI, a slightly different statistic, but this is better than an additional five percent margin of overestimation, uncorrelated with the acceptable IMF growth rate estimates.

 

The current UN Statistical system involves the IMF making economic growth predictions that are applied to the (lost) balances of the World Bank to become UN Data.  The headquarters of both of these Bretton Woods Institutions are however, unfortunately, located in Washington DC where the Department of Commerce Bureau of Economic Analyses (BEA) has been overestimating GDP for two geriatric administrations, IMF economic growth checks have been without legal consequence since 2021 and the divergence between the economic growth rate and numerical growth in GDP value widens, with the obese Jewish Treasury Secretary’s waistline.  This recount updating UN Data on GNI from 2018 with IMF economic growth rates is slightly lower than prior estimates of GDP, but without a GDP table it is too soon to tell what figure is exact.  The non-academic thing about GDP statistics is the Treasury must not sell more than 3 percent of GDP deficit or will incur a depression in the stock exchange.  Deficits in excess of 3 percent of GDP are therefore, to be bought by and pay interest to the US General Fund balance, held thereby into perpetuity by the 3 percent limit on deficits, rather than squandered on any deficit, real or imaginary, pursuant to Sec. 10,000 of the Echinacea Recount Agenda of 2024.  Population statistics seem alright, India is the most popular country in 2024, with a lovely economic recount and two Indian descendants running for President of the United States.  However, the Commerce Department Census Bureau interfered with the 2020 federal election, must stop infringing racial statistics with confusion regarding Latino race being an “ethnicity”, count people detained in US jails and prisons, possibly stop conducting a Decennial Census whereas it is expensive, invasive, has an election fraud prior and is statistically less skilled than archival population counting methods, and for their international omission since the wrongful termination of the Annual Statistical Abstract in 2011, needs to study international trade, country by country to begin to check customs revenue overestimates in denial of the price elasticity of the Law of Supply and Demand and 3 percent annual Swiss Formula for Unilateral Tariff Reduction (2007). 

 

The Assembly President is advised to redress the loss of statistical balance by UN Data with a vote of no confidence by the UN Assembly in GDP and GNI data, and probably other economic data, since 2018, pre-COVID.  Acceptance of this preliminary recount of GNI, or first recount of a self-determinate UN Assembly, that does not excessively diverge from this work, serves as the basis for re-assessing the scale of assessment for all UN agencies.  The UN Assembly would furthermore lead UN System of National Accounts (SNA) staticians, to totally recount UN economic statistics since 2018, for the approval of the UN Assembly.  Now that the GNI data is preliminarily updated, the Assembly should be able to pass the scale of assessments, that is beyond the capacity of the layman to understand, when once fixed by the General Assembly, the scale of assessment shall not be subject to a general revision for at least three years.  The grudgingly passed 2021 UN System Budget based on the current scale of assessment is absolutely not passing, since 2022, and it is 2024, whereas it is clear that the substantial changes in relative capacity to pay, are illusory, due to overestimation of GNI by UN Data, without regard to arbitrary IMF economic growth estimates under Rule 160 of the Rule of Procedure of the UN General Assembly.  The Advisory Committee on Administrative and Budgetary Questions and Contribution Committee are summoned to examine on behalf of the General Assembly the administrative budgets of specialized agencies and proposals for financial and budgetary arrangements with such agencies under Rule 157 of the Rule of Procedure of the General Assembly.  The transcription and calculus in this GNI table 2018-2024 are done right, with a recently strengthened heart and a three-day rain storm. Egypt and Zimbabwe IMF economic growth estimates in World Economic Outlook, have been overruled by more recent IMF decisions, and other blanks have been filled in at reasonable rates.  For the most part this work needs to be taken as a preliminary review of GNI from 2018 to facilitate the development of an acceptable scale of assessment and produce a 2022-2024 UN system budget.  The UN Assembly should have no difficulty passing a “vote of no confidence in UN Economic Data since 2018 before COVID, citing divergence of the GNI value from the usually credible IMF real GDP growth rate since 2018, pre-COVID-19”.  The Assembly may vote to consent to be bound by the GNI table above by a majority, but any State Party may express a reservation whereby it purports to exclude or to modify a statistic they know better, but might also be cheating, and must justify their reservation pursuant to Art. 2(d) of the Vienna Convention on the Law of Treaties (1980).

 

Gross Domestic Product; By Country 2018-2024

(Millions of US Dollars)

 

Nations

Area

2018

%

2019

%

2020

%

2021

%

2022

%

2023

%

2024

197

World

86,477,717

2.8

88,900,283

-3.0

86,203,932

6.1

91,449,090

3.3

94,440,068

2.6

96,903,615

1.9

98,692,591

1

Afghanistan

18,856

3.9

19,951

-2.4

19,121

-20.7

15,163

-6.2   

14,223

-3.0

13,796

-3.0

13,382

2

Albania

15,156

2.1

15,474

-3.3

14,964

8.9

16,295

4.8

17,078

3.6

17,692

3.3

18,276

3

Algeria

174,911

1.0

176,660

-5.1

167,650

3.4

173,351

3.2

178,898

3.8

185,696

3.1

191,452

4

Andorra

3,218

2.0

3,282

-11.2

2,915

8.3

3,157

8.8

3,435

2.1

3,507

1.5

3,559

5

Angola

101,353

-0.7

100,644

-5.6

95,008

1.2

96,148

3.0

99,032

1.3

100,319

3.3

103,630

6

Antigua & Barbuda

1,605

4.3

1,674

-17.5

1,381

6.6

1,472

8.5

1,597

5.6

1,687

5.6

1,781

7

Argentina

524,920

-2.0

514,422

-9.9

463,494

10.7

513,088

5.0

538,742

-2.5

525,274

2.8

539,981

8

Armenia

12,458

7.6

13,405

-7.2

12,440

5.7

13,149

12.6

14,806

7.0

15,842

5.0

16,634

9

Australia

1,456,982

1.9

1,484,665

-1.8

1,457,941

5.2

1,522,754

3.7

1,590,503

1.8

1,619,132

1.2

1,638,561

10

Austria

454,991

1.5

461,816

-6.5

431,798

4.6

451,661

4.8

473,340

0.1

473,814

0.8

477,604

11

Azerbaijan

47,113

2.5

48,291

-4.2

46,263

5.6

48,853

4.6

51,101

2.5

52,378

2.5

53,688

12

Bahamas

13,022

-0.7

12,931

-23.5

9,892

17.0

11,574

14.4

13,240

4.3

13,810

1.8

14,058

13

Bahrain

37,802

2.2

38,634

-4.6

36,857

2.6

37,815

4.9

39,668

2.7

40,739

3.6

42,205

14

Bangladesh

316,152

7.9

341,128

3.4

352,726

6.9

377,065

7.1

403,836

6.0

428,066

6.0

453,750

15

Barbados

5,110

-0.5

5,085

-13.3

4,408

-0.2

4,399

9.8

4,831

4.5

5,048

3.9

5,245

16

Belarus

60,031

1.4

60,871

-0.7

60,445

2.3

61,836

-3.7

59,548

1.6

60,501

1.3

61,287

17

Belgium

543,299

2.3

555,795

-5.4

525,782

6.3

558,906

3.2

576,791

1.0

582,559

0.9

587.,802

18

Belize

2,293

4.5

2,396

-13.4

2,075

15.2

2,391

12.7

2,694

4.0

2,802

3.0

2,886

19

Benin

14,262

-0.7

14,162

-5.6

13,369

1.2

13,530

3.0

13,935

1.3

14,117

3.3

14,582

20

Bhutan

2,583

4.4

2,697

-2.3

2,635

-3.3

2,548

4.8

2,670

5.3

2,812

3.0

2,895

21

Bolivia

40,288

2.2

41,174

-8.7

37,592

6.1

39,885

3.5

41,281

1.8

42,024

1.8

42,781

22

Bosnia& Herzegovina

20,484

2.9

21,078

-3.0

20,446

7.4

21,959

4.1

22,859

2.0

23,316

4.3

24,319

23

Botswana

17,032

3.0

17,543

-8.7

16,017

11.9

17,923

5.8

18,962

3.8

19,683

4.1

20,490

24

Brazil

1,917,934

1.2

1,940,949

-3.3

1,876,898

5.0

1,970,743

2.9

2,027,894

3.1

2,090,759

1.5

2,122,120

25

Brunei

13,567

3.9

14,096

1.1

14,251

-1.6

14,023

-1.6

13,799

-0.8

13,688

3.5

14,168

26

Bulgaria

66,332

4.0

68,985

-4.0

66,226

7.6

71,259

3.4

73,682

1.7

74,934

3.2

77,332

27

Burkina Faso

15,890

5.7

16,796

1.9

17,115

6.9

18,296

1.5

18,570

4.4

19,387

6.4

20,628

28

Burundi

3,318

1.8

3,378

0.3

3,388

3.1

3,493

1.8

3,556

3.3

3,673

6.0

3,894

29

Cabo Verde

2,506

6.9

2,679

-19.6

2,154

6.4

2,292

17.0

2,681

4.4

2,799

6.4

2,979

30

Cambodia

24,572

6.0

26,046

2.2

26,619

8.4

28,855

3.0

29,721

5.0

31,207

4.2

32,518

31

Cameroon

39,974

2.5

40,973

2.5

41,998

2.3

42,964

6.3

45,670

7.2

48,959

4.8

51,309

32

Canada

1,725,384

1.9

1,758,166

-5.1

1,668,500

5.0

1,751,925

3.4

1,811,490

1.3

1,835,040

1.6

1,864,400

33

Central-African Republic

2,221

3.0

2,288

1.0

2,311

1.0

2,334

0.5

2,345

1.0

2,369

2.5

2,428

34

Chad

15,362

3.4

15,884

-2.1

15,551

-1.2

15,362

3.4

15,887

4.0

16,522

4.2

17,216

35

Chile

295,403

0.7

297,471

-6.1

279,325

11.7

312,006

2.4

319,494

-0.5

317,897

1.6

322,983

36

China

14,311,827

5.8

15,140,917

2.0

15,442,288

0.8

16,727,986

2.9

17,205,689

5.0

18,061,557

4.2

18,814,052

37

Colombia

334,198

3.2

344,892

-7.3

319,715

11.0

354,884

7.3

380,790

1.4

386,122

2.0

393,844

38

Comoros

1,189

1.8

1,210

-0.2

1,208

2.1

1,233

2.6

1,265

3.0

1,303

3.5

1,349

39

Congo, Republic of

14,774

1.1

14,937

-6.3

13,996

1.1

14,150

1.7

14,390

4.0

14,966

4.2

15,594

40

Congo, Democratic Republic of the

47,146

4.5

49,268

1.7

50,105

6.2

53,212

8.9

57,948

6.7

61,830

4.7

64,736

41

Costa Rica

62,420

0.2

62,545

-7.0

58,167

7.3

62,413

4.1

64,972

2.3

66,466

2.3

67,995

42

Cote d’Ivoire

58,523

6.5

62,327

1.7

63,387

7.0

67,824

6.7

72,368

6.2

76,855

6.6

81,927

43

Croatia

62,470

3.4

64,594

-8.5

59,104

13.1

66,846

6.2

70,991

2.7

72,907

2.6

74,803

44

Cuba a

100,050

-0.16

99,890

-10.95

88,952

12.2

99,804

2.0

101,800

-1.7

100,070

2.0

102,071

45

Cyprus

25,597

0.6

25,751

-1.1

25,467

2.2

26,028

8.1

28,136

3.5

29,121

2.4

29,820

46

Czech Republic

249,001

2.8

255,973

3.2

264,164

3.8

274,202

15.1

315,607

10.9

350,008

4.6

366,109

47

Denmark

356,841

0.7

359,339

0.3

360,417

1.9

367,265

8.5

398,482

4.2

415,219

2.8

426,845

48

Djibouti

2,923

3.3

3,020

1.8

3,074

1.2

3,111

5.2

3,273

1.2

3,312

1.8

3,371

49

Dominica

555

1.5

563

-0.7

559

1.6

568

6.8

607

6.2

645

2.8

663

50

Dominican Republic

85,555

1.8

87,095

3.8

90,405

8.2

97,818

8.8

106,426

4.9

111,641

4.2

116,330

51

Ecuador

107,562

0.3

107,885

-0.3

107,561

0.1

107,669

3.5

111,437

2.3

114,000

1.8

116,052

52

Egypt

249,751

5.6

263,737

5.7

278,770

4.5

291,315

8.5

316,077

4.2

329,352

3.6

341,208

53

El Salvador

26,021

0.1

26,047

-0.4

25,943

3.5

26,851

7.2

28,784

4.4

30,051

2.4

30,772

54

Equatorial Guinea

13,097

1.2

13,254

4.8

13,890

-0.1

13,877

4.9

14,556

2.4

14,906

4.0

15,502

55

Eritrea

2,006

1.3

2,032

3.8

2,109

3.0

2,173

3.0

2,238

3.0

2,305

3.0

2,374

56

Estonia

30,624

4.0

31,849

-1.0

31,531

7.2

33,801

-0.5

33,632

-2.3

33,195

2.4

33,991

57

Eswatini

4,665

2.7

4,791

-1.6

4,714

7.9

5,087

3.6

5,270

3.1

5,433

3.3

5,613

58

Ethiopia

80,210

9.0

87,429

6.1

92,762

6.3

98,606

6.4

104,917

6.1

111,317

6.2

118,219

59

Fiji

5,581

-0.6

5,548

-17.0

4,604

-4.9

4,379

20.0

5,255

7.5

5,649

3.9

5,869

60

Finland

275,708

1.2

279,017

-2.4

272,320

3.2

281,034

1.6

285,531

-0.1

285,245

1.0

288,098

61

France

2,790,957

1.9

2,843,985

-7.7

2,624,998

6.4

2,792,990

5.8

2,954,992

2.5

3,028,867

1.7

3,080,358

62

Gabon

16,867

3.8

17,508

-1.8

17,193

1.5

17,451

3.0

17,974

2.8

18,478

2.6

18,958

63

Gambia

1,671

6.2

1,775

0.6

1,785

5.3

1,880

4.9

1,972

5.6

2,082

5.2

2,191

64

Georgia

17,600

5.0

18,480

-6.8

17,223

10.5

19,032

10.1

20,954

6.2

22,253

4.8

23,321

65

Germany

3,974,443

1.1

4,018,162

3.8

4,170,852

3.2

4,304,319

1.8

4,381,797

-0.5

4,359,888

0.9

4,399,127

66

Ghana

67,277

6.5

71,650

0.5

72,008

5.1

75,681

3.1

78,027

1.2

78,963

2.7

81,095

67

Greece

212,050

1.9

216,079

-9.0

196,632

8.4

213,149

5.9

225,725

2.5

231,368

2.0

235,995

68

Grenada

1,165

0.7

1,173

-13.8

1,011

4.7

1,059

6.4

1,127

3.9

1,171

3.8

1,215

69

Guatemala

73,328

4.0

76,261

-1.8

74,888

8.0

80,880

4.1

84,196

3.4

87,058

3.5

90,105

70

Guinea

11,857

5.6

12,521

4.7

13,110

5.0

13,765

4.3

14,357

5.9

15,204

5.6

16,055

71

Guinea-Bissau

1,428

4.5

1,492

1.5

1,515

6.4

1,612

4.2

1,679

4.5

1,755

5.0

1,843

72

Guyana

4,788

5.4

5,047

43.5

7,242

20.1

8,697

62.3

14,116

38.4

19,536

26.6

24,733

73

Haiti

15,730

-1.7

15,463

-3.3

14,952

-1.8

14,683

-1.7

14,434

-1.5

14,217

1.4

14,416

74

Holy See

18

0

18

0

18

0

18

0

18

0

18

0

18

75

Honduras

24,068

2.7

24,718

-9.0

22,493

12.5

25,305

4.0

26,317

2.9

27,080

3.2

27,947

76

Hungary

160,566

4.9

168,434

-4.5

160,854

7.2

172,436

4.6

180,368

-0.3

179,827

3.1

185,401

77

Iceland

26,261

1.9

26,7650

-7.2

24,833

4.5

25,951

7.2

27,819

3.3

28,737

1.7

29,226

78

India       

2,763,197

3.9

2,870,962

-5.8

2,704,446

9.1

2,950,551

7.2

3,162,990

6.3

3,362,259

6.3

3,574,081

79

Indonesia

1,042,272

5.0

1,094,386

-2.1

1,071,404

3.7

1,111,045

5.3

1,169,931

5.0

1,228,427

5.0

1,289,849

80

Iran

317,081

-3.1

307,252

3.3

317,391

4.7

332,308

3.8

344,936

3.0

355,284

2.5

364,166

81

Iraq

227,368

5.4

239,646

-12.1

210,649

1.6

214,019

7.0

229,000

-2.7

222,817

2.9

229,279

82

Ireland

386,694

5.3

407,189

6.6

434,063

15.1

499,607

9.4

546,570

2.0

557,501

3.3

575,899

83

Israel

375,151

3.8

389,407

-1.5

383,566

9.3

419,237

6.5

446,488

3.1

460,329

3.0