1922 — Page 319

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The user wants me to proofread OCR output of a historical shipping table for Hong Kong, 1922. The text is a table with columns for British, Foreign, and Total vessels, with sub-columns for With Cargoes, In Ballast, and Total, each having Vessels, Tons, Crews.

The OCR is messy: many misaligned numbers, broken lines, garbled text. I need to reconstruct the table in Markdown format.

First, I need to understand the structure. The header:

SHIPPING, 1922.

No. 1—NUMBER, TONNAGE, AND CREWS, OF VESSELS ENTERED AT PORTS IN THE COLONY OF HONGKONG FROM EACH COUNTRY IN THE YEAR 1922.

Then columns: BRITISH, FOREIGN, TOTAL.

Each has WITH CARGOES, IN BALLAST, TOTAL.

Each sub-column has Vessels, Tons, Crews.

So the table has 3 main categories (British, Foreign, Total), each with 3 subcategories (With Cargoes, In Ballast, Total), each with 3 metrics (Vessels, Tons, Crews). That's 27 columns plus the country column.

But the OCR shows many rows for countries. The data seems to be a list of countries with numbers.

I need to parse the OCR text and reconstruct the table as best as possible. However, the OCR is extremely garbled. Many numbers are misaligned, there are stray characters, and the table seems to have been read in a confused order.

Given the complexity, I might need to produce a Markdown table that captures the data as accurately as possible. But the OCR is so bad that it's nearly impossible to reconstruct perfectly. However, the instruction says: "If data is clearly in table format, reconstruct the table using Markdown table syntax."

I should attempt to reconstruct the table with the correct columns and rows, using the data that can be deciphered.

Let me analyze the OCR text line by line.

The text starts with:

(T1)

SHIPPING, 1922.

No. 1—NUMBER, TONNAGE, AND CREWS, OF VESSELS ENTERED AT PORTS IN THE COLONY OF HONGKONG FROM EACH COUNTRY IN THE YEAR 1922.

BRITISH.

FOREIGN.

TOTAL.

COUNTRIES WHENCE ARRIVED.

WITH CABGQEA.

IN BALLAST.

TOTAL

WITH CARGOES.

IN BALLAST.

TOTAL.

WITH CARGOES,

IN BALLAST.

TOTAL.

Vessels.

Tons.

Crews. Vessels. Tons. Crews. Vesseli, Tons. Crews. Vessels. Tons. Crews. Vessels.

Tons.

Crews. Versels. Tons. Crews. Vessels, Tons. Crews. Vessels. Tons.

Crews. Vessels. Tons. Crews.

This is the header. It's messy. Let's parse the intended columns.

The header likely is:

COUNTRIES WHENCE ARRIVED | BRITISH | | | FOREIGN | | | TOTAL | | |

With subcolumns: With Cargoes, In Ballast, Total for each.

Each subcolumn has Vessels, Tons, Crews.

So total columns: 1 (Country) + 3 (British) 3 (sub) 3 (metrics) = 1 + 27 = 28 columns? Actually each main category (British, Foreign, Total) has three subcategories (With Cargoes, In Ballast, Total), each with three metrics (Vessels, Tons, Crews). That's 333 = 27 columns plus country = 28.

But the header shows "Vessels. Tons. Crews." repeated many times.

The OCR header lines:

"Vessels. Tons. Crews. Vessels. Tons. Crews. Vesseli, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews. Versels. Tons. Crews. Vessels, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews."

That's 27 entries (9 groups of 3). Good.

Now the data rows. The OCR then lists countries and numbers.

Let's try to extract rows.

After header, we see:

"Australia,

30

65,390

British North Borneo,........... ......

Canada,

18

2,870

33.999 1,723

*சு.

***

30 65,390

18

484

** 319.673 18,490

++

***

Const of China, Ships,

2,789 | 2,961,022 | 163,995

91

8,881

7,672

2,870

33,999 1,723

319,673 13.490

2,880 | 2,969,903 | 171,671

2

12 10,768 1,502

1,368 130

3

1

7,564

824

118

31

15 53,382 1,620

3 2,192 184

+21

Ara

A

Steamships under 60 tons........

W

:

Junks,

?!

KANA. MELANIA ASE

Cochin China

83

114,902

5,170

83

Dutch East Indies,

20

60,176| 1,700

20 50,176

114,902 5,170

1,700

Europe, Mediterranean Ports........................

Atlantic Ports, ........................

23

194,060 2,859

23

194,050

2,359

Baltic Ports,

O

1,724 1,309,382 | 92,150

483 16,624 8,014

8,975 | 1,344,234 | 134,229

86 119,087 9,330

107 329,289 10,544

36 169,677 6.717

50 216,649 3,207

22,169 214

68

2.728

81,866 8,018

82,068

3,398

+4

188,899

60,180

23 32,101 1,260

50

***

:

1,792 1,391,248 96,068

3.211 29,155

98,692 | 37,169

67.285 12,373 | 1,533,133 201,514

2,466 130 179,267 11,796

132 38:,390 11.804

36 109,677 6,717

211,649 3,207

214

42 111,158 4,372

20 35,367 1,853

44 319,673 13,490

4,513 | 4,270,404 |250,140

483 16,624 8.014

8,975 | 1,344,234 {134,229

169 233,989 14,500

127 379,465 12,241

3

7,564

1

824

118

31

45 118,722 4,490

21 36,19] 1,887

41 319,673 13,490

159

90,747 11,590 4,672 | 4361,151 |267,739

2,729 $2,068 29,155 3,211 98,692 37,169

3,398 188,899 67,280 12,373 1533,133 | 201,511

44 60,180 2,466 213 294,169

16,966

25 52,101 1,260

152 131,566 13,504

36 169,677 6,717

:

5 22.169

***

78 £10,699 5,566

22,169

73

E

:

214

06 169,677 6,717

410,699 5,566

22,169 5

214

Formosa, ponad stati

Great Britain.

102

India,

Japan,

2009

5,7411

430,097, 11,277

76 208,732 10.201

SKAJUTS

84

1

5,744

#

168

209,687 9.049

117 30,540 4,407

285 241,227 14,356

102

490,097 11,277

36

188,223 5,397

:

.:

36 184,223 6,393

76

298,732 10,201

110 313,899

21,906

209

839.078 21,996

Kwong-chan-wan,

7,153

273 1,011,215 20,955

217 91,297 10,138

3,020

43

I

31,919 7,196

169 215,431 10.033

IRS

186

117 30,540 1,407

13 24,080

717

2

(35

106

240

9.932 10,244

286 1,0:5,205 21,672 182 1,851,193

247

Maran, Ships,

697

399,715) 28.06)

697

399.715

28,044

7

5,524

346

142 26,009

2,166

149

31,533 2512

704

ין

Steamships under 40 tons.

35

1,072

321

31

817

283

66

1,919 604

Junks.

301

49,395

5,225

65

10,578

715

420

50,973

6,940

364

678,320 16,672

612,631 17,354

12,951

91,297 10,138

28418 105.239

1,072

49,395

286

138

245,971 14.440

678,320 16,672

1

3,020

13

187

615,651

13

24,080

2

635

717

100

495 | 1,875,273

17.397

43,668

J

219 91,932 19,2H4

112

26,009 2,166

$46

321

31

IE

847

283

$6

BL248

1,319

30,576

604

5,225

G5 10,578

715

129

59,973 5,940

"

Mauritias,

8,917

390

6,917

390

21

2,408

123

2

2,408

123

t-

7

513 11,325

:

7

11.325

513

North and South Pacific Islands,

Philippine Islands,

#

***

:

www

---

81 181,78% 5.914

:

81

181,788

54914

49

Ports in Hainan and Gulf of Tonkin,

138 | 149.871

9.999

$16

68

139 130,687 10,067

362

302,765 6,706

6 12,139 261

164,368

177 10,375

276,806 6.783

55

339

314,904

130 6,967

12,620 484,553

440,174 17.108 500 314,239 20,374

12,139

261

136

196,692

12,881

178 276,622

6.801

678

390,861

27,175

Russia ju Asin, .................................... Ma

A

Siam,

103 133,016) 8,063

South Ameriena Ports,

*

Straits Settlements,

76

139,840, 6,500

Tsingtau,

63

88,278)

United States of Amerien,

32

226,028

6,361

3,430

103

8,063 133,016

108

118,717

6,879

24

25,763 1,382 132

:

**

20

83,026

2,023

20

63

76 139,840 6,566

88,278 5,361

226,028

36

72.835 1,887

16

28,618

813

52

1

1,143

28

197 1,043,002 3,630

20,656

8

34,733

389

205

1,143

1,097,735

144,480 8.201

2,023 53,026

2,700 101,473

28

211

20

251,733 11,942

2,023 83,026

112 "212,695 8,458

24

25,763 1,382

235

277,496 14,324

20

*

83,026

2,023

28,618

813

138

241,313

9,266

63

21,045

249

5,361 88,278

1,280,030 | 24,286

1

1,143

28

64

89,421

5,359

31,733

380

257

1,323,763

24,673

TOTAL,

4,610 | 6,701,216 | 302,856

92

9,697 7,740

4.702

6,710,913 | 310,596

13,494 7,251,700 374,148

6,870

947,413 | 122,279 | 122,279 | 20,301 | 8,199,113 496,447

18,104 13,952,916 | 677,024

6,962

957,110 130,019

25,066 (14,910,026 |807,043

Edit History

2026-07-13 05:01:42 · NVIDIA / nvidia/nemotron-3-ultra-550b-a55b
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AI Proofread
The user wants me to proofread OCR output of a historical shipping table for Hong Kong, 1922. The text is a table with columns for British, Foreign, and Total vessels, with sub-columns for With Cargoes, In Ballast, and Total, each having Vessels, Tons, Crews. The OCR is messy: many misaligned numbers, broken lines, garbled text. I need to reconstruct the table in Markdown format. First, I need to understand the structure. The header: SHIPPING, 1922. No. 1—NUMBER, TONNAGE, AND CREWS, OF VESSELS ENTERED AT PORTS IN THE COLONY OF HONGKONG FROM EACH COUNTRY IN THE YEAR 1922. Then columns: BRITISH, FOREIGN, TOTAL. Each has WITH CARGOES, IN BALLAST, TOTAL. Each sub-column has Vessels, Tons, Crews. So the table has 3 main categories (British, Foreign, Total), each with 3 subcategories (With Cargoes, In Ballast, Total), each with 3 metrics (Vessels, Tons, Crews). That's 27 columns plus the country column. But the OCR shows many rows for countries. The data seems to be a list of countries with numbers. I need to parse the OCR text and reconstruct the table as best as possible. However, the OCR is extremely garbled. Many numbers are misaligned, there are stray characters, and the table seems to have been read in a confused order. Given the complexity, I might need to produce a Markdown table that captures the data as accurately as possible. But the OCR is so bad that it's nearly impossible to reconstruct perfectly. However, the instruction says: "If data is clearly in table format, reconstruct the table using Markdown table syntax." I should attempt to reconstruct the table with the correct columns and rows, using the data that can be deciphered. Let me analyze the OCR text line by line. The text starts with: (T1) SHIPPING, 1922. No. 1—NUMBER, TONNAGE, AND CREWS, OF VESSELS ENTERED AT PORTS IN THE COLONY OF HONGKONG FROM EACH COUNTRY IN THE YEAR 1922. BRITISH. FOREIGN. TOTAL. COUNTRIES WHENCE ARRIVED. WITH CABGQEA. IN BALLAST. TOTAL WITH CARGOES. IN BALLAST. TOTAL. WITH CARGOES, IN BALLAST. TOTAL. Vessels. Tons. Crews. Vessels. Tons. Crews. Vesseli, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews. Versels. Tons. Crews. Vessels, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews. This is the header. It's messy. Let's parse the intended columns. The header likely is: COUNTRIES WHENCE ARRIVED | BRITISH | | | FOREIGN | | | TOTAL | | | With subcolumns: With Cargoes, In Ballast, Total for each. Each subcolumn has Vessels, Tons, Crews. So total columns: 1 (Country) + 3 (British) 3 (sub) 3 (metrics) = 1 + 27 = 28 columns? Actually each main category (British, Foreign, Total) has three subcategories (With Cargoes, In Ballast, Total), each with three metrics (Vessels, Tons, Crews). That's 333 = 27 columns plus country = 28. But the header shows "Vessels. Tons. Crews." repeated many times. The OCR header lines: "Vessels. Tons. Crews. Vessels. Tons. Crews. Vesseli, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews. Versels. Tons. Crews. Vessels, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews." That's 27 entries (9 groups of 3). Good. Now the data rows. The OCR then lists countries and numbers. Let's try to extract rows. After header, we see: "Australia, 30 65,390 British North Borneo,........... ...... Canada, 18 2,870 33.999 1,723 *சு. *** 30 65,390 18 484 ** 319.673 18,490 ++ *** Const of China, Ships, 2,789 | 2,961,022 | 163,995 91 8,881 7,672 2,870 33,999 1,723 319,673 13.490 2,880 | 2,969,903 | 171,671 2 12 10,768 1,502 1,368 130 3 1 7,564 824 118 31 15 53,382 1,620 3 2,192 184 +21 Ara A Steamships under 60 tons........ W : Junks, ?! KANA. MELANIA ASE Cochin China 83 114,902 5,170 83 Dutch East Indies, 20 60,176| 1,700 20 50,176 114,902 5,170 1,700 Europe, Mediterranean Ports........................ Atlantic Ports, ........................ 23 194,060 2,859 23 194,050 2,359 Baltic Ports, O 1,724 1,309,382 | 92,150 483 16,624 8,014 8,975 | 1,344,234 | 134,229 86 119,087 9,330 107 329,289 10,544 36 169,677 6.717 50 216,649 3,207 22,169 214 68 2.728 81,866 8,018 82,068 3,398 +4 188,899 60,180 23 32,101 1,260 50 *** : 1,792 1,391,248 96,068 3.211 29,155 98,692 | 37,169 67.285 12,373 | 1,533,133 201,514 2,466 130 179,267 11,796 132 38:,390 11.804 36 109,677 6,717 211,649 3,207 214 42 111,158 4,372 20 35,367 1,853 44 319,673 13,490 4,513 | 4,270,404 |250,140 483 16,624 8.014 8,975 | 1,344,234 {134,229 169 233,989 14,500 127 379,465 12,241 3 7,564 1 824 118 31 45 118,722 4,490 21 36,19] 1,887 41 319,673 13,490 159 90,747 11,590 4,672 | 4361,151 |267,739 2,729 $2,068 29,155 3,211 98,692 37,169 3,398 188,899 67,280 12,373 1533,133 | 201,511 44 60,180 2,466 213 294,169 16,966 25 52,101 1,260 152 131,566 13,504 36 169,677 6,717 : 5 22.169 *** 78 £10,699 5,566 22,169 73 E : 214 06 169,677 6,717 410,699 5,566 22,169 5 214 Formosa, ponad stati Great Britain. 102 India, Japan, 2009 5,7411 430,097, 11,277 76 208,732 10.201 SKAJUTS 84 1 5,744 # ન 168 209,687 9.049 117 30,540 4,407 285 241,227 14,356 102 490,097 11,277 36 188,223 5,397 : .: 36 184,223 6,393 76 298,732 10,201 110 313,899 21,906 209 839.078 21,996 Kwong-chan-wan, 7,153 273 1,011,215 20,955 217 91,297 10,138 3,020 43 I 31,919 7,196 169 215,431 10.033 IRS 186 117 30,540 1,407 13 24,080 717 2 (35 106 240 9.932 10,244 286 1,0:5,205 21,672 182 1,851,193 247 Maran, Ships, 697 399,715) 28.06) 697 399.715 28,044 7 5,524 346 142 26,009 2,166 149 31,533 2512 704 ין Steamships under 40 tons. 35 1,072 321 31 817 283 66 1,919 604 Junks. 301 49,395 5,225 65 10,578 715 420 50,973 6,940 364 678,320 16,672 612,631 17,354 12,951 91,297 10,138 28418 105.239 1,072 49,395 286 138 245,971 14.440 678,320 16,672 1 3,020 13 187 615,651 13 24,080 2 635 717 100 495 | 1,875,273 17.397 43,668 J 219 91,932 19,2H4 112 26,009 2,166 $46 321 31 IE 847 283 $6 BL248 1,319 30,576 604 5,225 G5 10,578 715 129 59,973 5,940 " Mauritias, 8,917 390 6,917 390 21 2,408 123 2 2,408 123 t- 7 513 11,325 : 7 11.325 513 North and South Pacific Islands, Philippine Islands, # *** : www --- 81 181,78% 5.914 : 81 181,788 54914 49 Ports in Hainan and Gulf of Tonkin, 138 | 149.871 9.999 $16 68 139 130,687 10,067 362 302,765 6,706 6 12,139 261 164,368 177 10,375 276,806 6.783 55 339 314,904 130 6,967 12,620 484,553 440,174 17.108 500 314,239 20,374 12,139 261 136 196,692 12,881 178 276,622 6.801 678 390,861 27,175 Russia ju Asin, .................................... Ma A Siam, 103 133,016) 8,063 South Ameriena Ports, * Straits Settlements, 76 139,840, 6,500 Tsingtau, 63 88,278) United States of Amerien, 32 226,028 6,361 3,430 103 8,063 133,016 108 118,717 6,879 24 25,763 1,382 132 : ** 20 83,026 2,023 20 63 76 139,840 6,566 88,278 5,361 226,028 36 72.835 1,887 16 28,618 813 52 1 1,143 28 197 1,043,002 3,630 20,656 8 34,733 389 205 1,143 1,097,735 144,480 8.201 2,023 53,026 2,700 101,473 28 211 20 251,733 11,942 2,023 83,026 112 "212,695 8,458 24 25,763 1,382 235 277,496 14,324 20 * 83,026 2,023 28,618 813 138 241,313 9,266 63 21,045 249 5,361 88,278 1,280,030 | 24,286 1 1,143 28 64 89,421 5,359 31,733 380 257 1,323,763 24,673 TOTAL, 4,610 | 6,701,216 | 302,856 92 9,697 7,740 4.702 6,710,913 | 310,596 13,494 7,251,700 374,148 6,870 947,413 | 122,279 | 122,279 | 20,301 | 8,199,113 496,447 18,104 13,952,916 | 677,024 6,962 957,110 130,019 25,066 (14,910,026 |807,043
Baseline (Original)
(T1) SHIPPING, 1922. No. 1—NUMBER, TONNAGE, AND CREWS, OF VESSELS ENTERED AT PORTS IN THE COLONY OF HONGKONG FROM EACH COUNTRY IN THE YEAR 1922. BRITISH. FOREIGN. TOTAL. COUNTRIES WHENCE ARRIVED. WITH CABGQEA. IN BALLAST. TOTAL WITH CARGOES. IN BALLAST. TOTAL. WITH CARGOES, IN BALLAST. TOTAL. Vessels. Tons. Crews. Vessels. Tons. Crews. Vesseli, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews. Versels. Tons. Crews. Vessels, Tons. Crews. Vessels. Tons. Crews. Vessels. Tons. Crews. Australia, 30 65,390 British North Borneo,........... ...... Canada, 18 2,870 33.999 1,723 *சு. *** 30 65,390 18 484 ** 319.673 18,490 ++ *** Const of China, Ships, 2,789 | 2,961,022 | 163,995 91 8,881 7,672 2,870 33,999 1,723 319,673 13.490 2,880 | 2,969,903 | 171,671 2 12 10,768 1,502 1,368 130 3 1 7,564 824 118 31 15 53,382 1,620 3 2,192 184 +21 Ara A Steamships under 60 tons........ W : Junks, ?! KANA. MELANIA ASE Cochin China 83 114,902 5,170 83 Dutch East Indies, 20 60,176| 1,700 20 50,176 114,902 5,170 1,700 Europe, Mediterranean Ports........................ Atlantic Ports, ........................ 23 194,060 2,859 23 194,050 2,359 Baltic Ports, O 1,724 1,309,382 | 92,150 483 16,624 8,014 8,975 | 1,344,234 | 134,229 86 119,087 9,330 107 329,289 10,544 36 169,677 6.717 50 216,649 3,207 22,169 214 68 2.728 81,866 8,018 82,068 3,398 +4 188,899 60,180 23 32,101 1,260 50 *** : 1,792 1,391,248 96,068 3.211 29,155 98,692 | 37,169 67.285 12,373 | 1,533,133 201,514 2,466 130 179,267 11,796 132 38:,390 11.804 36 109,677 6,717 211,649 3,207 214 42 111,158 4,372 20 35,367 1,853 44 319,673 13,490 4,513 | 4,270,404 |250,140 483 16,624 8.014 8,975 | 1,344,234 {134,229 169 233,989 14,500 127 379,465 12,241 3 7,564 1 824 118 31 45 118,722 4,490 21 36,19] 1,887 41 319,673 13,490 159 90,747 11,590 4,672 | 4361,151 |267,739 2,729 $2,068 29,155 3,211 98,692 37,169 3,398 188,899 67,280 12,373 1533,133 | 201,511 44 60,180 2,466 213 294,169 16,966 25 52,101 1,260 152 131,566 13,504 36 169,677 6,717 : 5 22.169 *** 78 £10,699 5,566 22,169 73 E : 214 06 169,677 6,717 410,699 5,566 22,169 5 214 Formosa, ponad stati Great Britain. 102 India, Japan, 2009 5,7411 430,097, 11,277 76 208,732 10.201 SKAJUTS 84 1 5,744 # ન 168 209,687 9.049 117 30,540 4,407 285 241,227 14,356 102 490,097 11,277 36 188,223 5,397 : .: 36 184,223 6,393 76 298,732 10,201 110 313,899 21,906 209 839.078 21,996 Kwong-chan-wan, 7,153 273 1,011,215 20,955 217 91,297 10,138 3,020 43 I 31,919 7,196 169 215,431 10.033 IRS 186 117 30,540 1,407 13 24,080 717 2 (35 106 240 9.932 10,244 286 1,0:5,205 21,672 182 1,851,193 247 Maran, Ships, 697 399,715) 28.06) 697 399.715 28,044 7 5,524 346 142 26,009 2,166 149 31,533 2512 704 ין Steamships under 40 tons. 35 1,072 321 31 817 283 66 1,919 604 Junks. 301 49,395 5,225 65 10,578 715 420 50,973 6,940 364 678,320 16,672 612,631 17,354 12,951 91,297 10,138 28418 105.239 1,072 49,395 286 138 245,971 14.440 678,320 16,672 1 3,020 13 187 615,651 13 24,080 2 635 717 100 495 | 1,875,273 17.397 43,668 J 219 91,932 19,2H4 112 26,009 2,166 $46 321 31 IE 847 283 $6 BL248 1,319 30,576 604 5,225 G5 10,578 715 129 59,973 5,940 " Mauritias, 8,917 390 6,917 390 21 2,408 123 2 2,408 123 t- 7 513 11,325 : 7 11.325 513 North and South Pacific Islands, Philippine Islands, # *** : www --- 81 181,78% 5.914 : 81 181,788 54914 49 Ports in Hainan and Gulf of Tonkin, 138 | 149.871 9.999 $16 68 139 130,687 10,067 362 302,765 6,706 6 12,139 261 164,368 177 10,375 276,806 6.783 55 339 314,904 130 6,967 12,620 484,553 440,174 17.108 500 314,239 20,374 12,139 261 136 196,692 12,881 178 276,622 6.801 678 390,861 27,175 Russia ju Asin, .................................... Ma A Siam, 103 133,016) 8,063 South Ameriena Ports, * Straits Settlements, 76 139,840, 6,500 Tsingtau, 63 88,278) United States of Amerien, 32 226,028 6,361 3,430 103 8,063 133,016 108 118,717 6,879 24 25,763 1,382 132 : ** 20 83,026 2,023 20 63 76 139,840 6,566 88,278 5,361 226,028 36 72.835 1,887 16 28,618 813 52 1 1,143 28 197 1,043,002 3,630 20,656 8 34,733 389 205 1,143 1,097,735 144,480 8.201 2,023 53,026 2,700 101,473 28 211 20 251,733 11,942 2,023 83,026 112 "212,695 8,458 24 25,763 1,382 235 277,496 14,324 20 * 83,026 2,023 28,618 813 138 241,313 9,266 63 21,045 249 5,361 88,278 1,280,030 | 24,286 1 1,143 28 64 89,421 5,359 31,733 380 257 1,323,763 24,673 TOTAL, 4,610 | 6,701,216 | 302,856 92 9,697 7,740 4.702 6,710,913 | 310,596 13,494 7,251,700 374,148 6,870 947,413 | 122,279 | 20,301 | 8,199,113 496,447 18,104 13,952,916 | 677,024 6,962 957,110 130,019 25,066 (14,910,026 |807,043
2026-07-13 05:01:42 · Baseline
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(T1)

SHIPPING, 1922.

No. 1—NUMBER, TONNAGE, AND CREWS, OF VESSELS ENTERED AT PORTS IN THE COLONY OF HONGKONG FROM EACH COUNTRY IN THE YEAR 1922.

BRITISH.

FOREIGN.

TOTAL.

COUNTRIES WHENCE ARRIVED.

WITH CABGQEA.

IN BALLAST.

TOTAL

WITH CARGOES.

IN BALLAST.

TOTAL.

WITH CARGOES,

IN BALLAST.

TOTAL.

Vessels.

Tons.

Crews. Vessels. Tons. Crews. Vesseli, Tons. Crews. Vessels. Tons. Crews. Vessels.

Tons.

Crews. Versels. Tons. Crews. Vessels, Tons. Crews. Vessels. Tons.

Crews. Vessels. Tons. Crews.

Australia,

30

65,390

British North Borneo,........... ......

Canada,

18

2,870

33.999 1,723

*சு.

***

30 65,390

18

484

** 319.673 18,490

++

***

Const of China, Ships,

2,789 | 2,961,022 | 163,995

91

8,881

7,672

2,870

33,999 1,723

319,673 13.490

2,880 | 2,969,903 | 171,671

2

12 10,768 1,502

1,368 130

3

1

7,564

824

118

31

15 53,382 1,620

3 2,192 184

+21

Ara

A

Steamships under 60 tons........

W

:

Junks,

?!

KANA. MELANIA ASE

Cochin China

83

114,902

5,170

83

Dutch East Indies,

20

60,176| 1,700

20 50,176

114,902 5,170

1,700

Europe, Mediterranean Ports........................

Atlantic Ports, ........................

23

194,060 2,859

23

194,050

2,359

Baltic Ports,

O

1,724 1,309,382 | 92,150

483 16,624 8,014

8,975 | 1,344,234 | 134,229

86 119,087 9,330

107 329,289 10,544

36 169,677 6.717

50 216,649 3,207

22,169 214

68

2.728

81,866 8,018

82,068

3,398

+4

188,899

60,180

23 32,101 1,260

50

***

:

1,792 1,391,248 96,068

3.211 29,155

98,692 | 37,169

67.285 12,373 | 1,533,133 201,514

2,466 130 179,267 11,796

132 38:,390 11.804

36 109,677 6,717

211,649 3,207

214

42 111,158 4,372

20 35,367 1,853

44 319,673 13,490

4,513 | 4,270,404 |250,140

483 16,624 8.014

8,975 | 1,344,234 {134,229

169 233,989 14,500

127 379,465 12,241

3

7,564

1

824

118

31

45 118,722 4,490

21 36,19] 1,887

41 319,673 13,490

159

90,747 11,590 4,672 | 4361,151 |267,739

2,729 $2,068 29,155 3,211 98,692 37,169

3,398 188,899 67,280 12,373 1533,133 | 201,511

44 60,180 2,466 213 294,169

16,966

25 52,101 1,260

152 131,566 13,504

36 169,677 6,717

:

5 22.169

***

78 £10,699 5,566

22,169

73

E

:

214

06 169,677 6,717

410,699 5,566

22,169 5

214

Formosa, ponad stati

Great Britain.

102

India,

Japan,

2009

5,7411

430,097, 11,277

76 208,732 10.201

SKAJUTS

84

1

5,744

#

168

209,687 9.049

117 30,540 4,407

285 241,227 14,356

102

490,097 11,277

36

188,223 5,397

:

.:

36 184,223 6,393

76

298,732 10,201

110 313,899

21,906

209

839.078 21,996

Kwong-chan-wan,

7,153

273 1,011,215 20,955

217 91,297 10,138

3,020

43

I

31,919 7,196

169 215,431 10.033

IRS

186

117 30,540 1,407

13 24,080

717

2

(35

106

240

9.932 10,244

286 1,0:5,205 21,672 182 1,851,193

247

Maran, Ships,

697

399,715) 28.06)

697

399.715

28,044

7

5,524

346

142 26,009

2,166

149

31,533 2512

704

ין

Steamships under 40 tons.

35

1,072

321

31

817

283

66

1,919 604

Junks.

301

49,395

5,225

65

10,578

715

420

50,973

6,940

364

678,320 16,672

612,631 17,354

12,951

91,297 10,138

28418 105.239

1,072

49,395

286

138

245,971 14.440

678,320 16,672

1

3,020

13

187

615,651

13

24,080

2

635

717

100

495 | 1,875,273

17.397

43,668

J

219 91,932 19,2H4

112

26,009 2,166

$46

321

31

IE

847

283

$6

BL248

1,319

30,576

604

5,225

G5 10,578

715

129

59,973 5,940

"

Mauritias,

8,917

390

6,917

390

21

2,408

123

2

2,408

123

t-

7

513 11,325

:

7

11.325

513

North and South Pacific Islands,

Philippine Islands,

#

***

:

www

---

81 181,78% 5.914

:

81

181,788

54914

49

Ports in Hainan and Gulf of Tonkin,

138 | 149.871

9.999

$16

68

139 130,687 10,067

362

302,765 6,706

6 12,139 261

164,368

177 10,375

276,806 6.783

55

339

314,904

130 6,967

12,620 484,553

440,174 17.108 500 314,239 20,374

12,139

261

136

196,692

12,881

178 276,622

6.801

678

390,861

27,175

Russia ju Asin, .................................... Ma

A

Siam,

103 133,016) 8,063

South Ameriena Ports,

*

Straits Settlements,

76

139,840, 6,500

Tsingtau,

63

88,278)

United States of Amerien,

32

226,028

6,361

3,430

103

8,063 133,016

108

118,717

6,879

24

25,763 1,382 132

:

**

20

83,026

2,023

20

63

76 139,840 6,566

88,278 5,361

226,028

36

72.835 1,887

16

28,618

813

52

1

1,143

28

197 1,043,002 3,630

20,656

8

34,733

389

205

1,143

1,097,735

144,480 8.201

2,023 53,026

2,700 101,473

28

211

20

251,733 11,942

2,023 83,026

112 "212,695 8,458

24

25,763 1,382

235

277,496 14,324

20

*

83,026

2,023

28,618

813

138

241,313

9,266

63

21,045

249

5,361 88,278

1,280,030 | 24,286

1

1,143

28

64

89,421

5,359

31,733

380

257

1,323,763

24,673

TOTAL,

4,610 | 6,701,216 | 302,856

92

9,697 7,740

4.702

6,710,913 | 310,596

13,494 7,251,700 374,148

6,870

947,413 | 122,279 | 20,301 | 8,199,113 496,447

18,104 13,952,916 | 677,024

6,962

957,110 130,019

25,066 (14,910,026 |807,043

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