Consular Processing Data Published by DOS From March 2017 Onwards

[Spectator]

The data can be found at https://travel.state.gov/content/vis...issuances.html

This data represents visas issued to Consular Processed cases only i.e. it does not include AOS cases.

Employment Classes

March 2017

Class -- China -- India -- Mexico -- Philippines ---- ROW --- Total
EB1 ------- 70 ------ 4 ------- 5 ------------ 0 ---- 116 ----- 195
EB2 ------- 17 ------ 5 ------- 0 ----------- 24 ---- 196 ----- 242
EB3 ------- 58 ----- 21 ------- 7 ---------- 346 ----- 27 ----- 659
EB4 -------- 0 ----- 20 ------- 0 ----------- 14 ----- 56 ----- 190
EB5 ------ 834 ------ 6 ------- 8 ------------ 0 ---- 121 ----- 969

Total ---- 979 ----- 56 ------ 20 ---------- 384 ---- 816 --- 2,255



April 2017

Class -- China -- India -- Mexico -- Philippines ---- ROW --- Total
EB1 ------- 56 ------ 7 ------- 0 ------------ 0 ------ 76 ---- 139
EB2 ------- 10 ------ 2 ------- 1 ----------- 25 ----- 140 ---- 178
EB3 ------- 10 ----- 14 ------- 9 ---------- 256 ----- 206 ---- 495
EB4 -------- 1 ----- 13 ------- 0 ------------ 3 ----- 137 ---- 154
EB5 ------ 808 ----- 10 ------- 4 ------------ 0 ------ 79 ---- 901

Total ---- 885 ----- 46 ------ 14 ---------- 284 ----- 638 -- 1,867



May 2017

Class -- China -- India -- Mexico -- Philippines ---- ROW --- Total
EB1 ------- 99 ------ 6 ------- 4 ------------ 0 ---- 149 ----- 258
EB2 ------- 12 ------ 7 ------- 2 ----------- 27 ---- 212 ----- 260
EB3 ------- 35 ----- 10 ------ 29 ---------- 272 ---- 256 ----- 602
EB4 -------- 4 ----- 26 ------- 0 ------------ 5 ---- 117 ----- 152
EB5 ------ 641 ----- 18 ------- 0 ------------ 0 ----- 22 ----- 681

Total ---- 791 ----- 67 ------ 35 ---------- 304 ---- 756 --- 1,953



June 2017

Class -- China -- India -- Mexico -- Philippines ---- ROW --- Total
EB1 -------- 0 ------ 5 ------- 3 ------------ 0 ---- 160 ----- 168
EB2 -------- 5 ------ 9 ------- 1 ----------- 34 ---- 258 ----- 307
EB3 ------- 27 ----- 21 ------ 27 ---------- 247 ---- 252 ----- 574
EB4 -------- 2 ----- 31 ------- 0 ------------ 6 ----- 98 ----- 137
EB5 ------ 508 ------ 8 ------- 0 ------------ 0 ---- 175 ----- 691

Total ---- 542 ----- 74 ------ 31 ---------- 287 ---- 943 --- 1,877



Q3 FY2017

Class -- China -- India -- Mexico -- Philippines ---- ROW --- Total
EB1 ------ 155 ----- 18 ------- 7 ------------ 0 ---- 385 ----- 565
EB2 ------- 27 ----- 18 ------- 4 ----------- 86 ---- 610 ----- 745
EB3 ------- 72 ----- 45 ------ 65 ---------- 775 ---- 714 --- 1,671
EB4 -------- 7 ----- 70 ------- 0 ----------- 14 ---- 352 ----- 443
EB5 ---- 1,957 ----- 36 ------- 4 ------------ 0 ---- 276 --- 2,273

Total -- 2,218 ---- 187 ------ 80 ---------- 875 -- 2,337 --- 5,697

[redsox2009]

July 2017 Consular Processing Figures

DOS have published the figures for July 2017 https://travel.state.gov/content/vis...issuances.html

Here's the analysis of the Employment Based Classes.

July 2017 Consular Processing - Employment Classes

Class --- China --- India --- Mexico --- Philippines---- ROW --- Total
EB1 ------- 00 ------ 2 ------- 2 ------------ 0 ---- 208 ----- 212
EB2 ------- 09 ------ 1 ------- 4 ----------- 30 ---- 224 ----- 268
EB3 ------- 09 ----- 18 ------ 18 ---------- 255 ---- 299 ----- 599
EB4 -------- 0 ----- 04 ------- 0 ------------12 ---- 202 ----- 218
EB5 ------ 444 ----- 05 ------- 3 ----------- 0 ----- 179 ----- 631

Total ---- 462 ----- 30 ------ 27 ---------- 297 ----1112 --- 1,928

[redsox2009]

August 2017 Consular Processing Figures

DOS have published the figures for August 2017 https://travel.state.gov/content/vis...issuances.html

Here's the analysis of the Employment Based Classes.

August 2017 Consular Processing - Employment Classes

Class --- China --- India --- Mexico --- Philippines---- ROW --- Total
EB1 ------- 00 ------ 0 ------- 1 ------------ 0 ---- 223 ----- 224
EB2 ------- 10 ------ 13------- 0 ----------- 06 ---- 019 ----- 048
EB3 ------- 02 ----- 09 ------ 02 ---------- 197 ---- 374 ----- 588
EB4 -------- 0 ----- 14 ------- 0 ------------08 ---- 136 ----- 158
EB5 ------ 659 ----- 11 ------- 4 ----------- 0 ----- 232 ----- 906

Total ---- 675 ----- 47 ------ 07 ---------- 211 ---- 984 --- 1,924

[Spectator]

redsox2009,

Thanks for the heads up.

I get slightly different figures:

Country --------- EB1 --- EB2 --- EB3 --- EB4 --- EB5 --- Total
China ------------- 0 ---- 10 ----- 6 ----- 0 --- 669 ----- 685
India ------------- 0 ---- 13 ----- 9 ---- 14 ---- 11 ------ 47
Mexico ------------ 1 ----- 0 ----- 2 ----- 0 ----- 4 ------- 7
Philippines ------- 0 ----- 6 --- 312 ----- 8 ----- 0 ----- 326
ROW ------------- 223 ---- 19 --- 374 --- 136 --- 213 ----- 965

Grand Total ----- 224 ---- 48 --- 703 --- 158 --- 897 --- 2,030

Not a huge difference.

The biggest difference is EB3-Philippines. This how my figure is derived:

Philippines -- EW5 ---- 4 -- EB3
Philippines -- EW4 ---- 1 -- EB3
Philippines -- EW3 ---- 2 -- EB3
Philippines -- E35 -- 115 -- EB3
Philippines -- E34 --- 72 -- EB3
Philippines -- E32 --- 54 -- EB3
Philippines -- E31 --- 64 -- EB3

Total --------------- 312

The difference of 115 from your figure of 197 appears to be:

E35 -- Child of E31 or E32

[redsox2009]

September 2017 Consular Processing Figures

DOS have published the figures for Sep 2017 https://travel.state.gov/content/vis...issuances.html

Here's the analysis of the Employment Based Classes.

Sep 2017 Consular Processing - Employment Classes

Class --- China --- India --- Mexico --- Philippines---- ROW --- Total
EB1 ------- 00 ------00 ------- 4 ------------ 2 ----- 130 ----- 136
EB2 ------- 11 ------03 ------- 1 ----------- 09 ----- 019 ----- 043
EB3 ------- 05 ----- 27 ------ 06 ---------- 215 ----- 331 ----- 584
EB4 --------02 ----- 06 ------- 0 ------------01 ----- 051 ----- 060
EB5 ------ 104 ----- 12 ------- 0 ----------- 0 ------ 215 ----- 331

Total ---- 122 ----- 48 ------ 11 ---------- 227 ------ 746 ---- 1,154

Edit: Corrected figure per subsequent conversations.

Class --- China --- India --- Mexico --- Philippines ---- ROW --- Total
EB1 --------- 0 ------- 0 -------- 4 ------------- 2 ---- 130 ----- 136
EB2 -------- 11 ------- 3 -------- 1 ------------- 9 ---- 118 ----- 142
EB3 --------- 5 ------ 27 -------- 6 ----------- 215 ---- 331 ----- 584
EB4 --------- 2 ------- 6 -------- 0 ------------- 1 ----- 51 ------ 60
EB5 ------- 104 ------ 12 -------- 0 ------------- 0 ---- 215 ----- 331

Total ----- 122 ------ 48 ------- 11 ----------- 227 ---- 845 --- 1,253

[Spectator]

redsox,

Thanks for the heads up once again.

Agree except for EB2-ROW.

ROW --------- EB2
Korea, South - 57
Iran ---------- 7
Pakistan ------ 6
Canada -------- 5
Ukraine ------- 5
Bangladesh ---- 4
Panama -------- 4
Venezuela ----- 4
Poland -------- 3
Taiwan -------- 3
Turkey -------- 3
Uruguay ------- 3
Germany ------- 2
Japan --------- 2
Jordan -------- 2
Austria ------- 1
Egypt --------- 1
Jamaica ------- 1
Morocco ------- 1
Nepal --------- 1
Qatar --------- 1
Russia -------- 1
Vietnam ------- 1

Total ------- 118

As an example, South Korea is made up of:

Korea, South -- E21 -- 13 --- Professional holding advanced degree or alien of exceptional ability 203(b)(2)
Korea, South -- E22 -- 18 --- Spouse of E21 203(d) & 203(b)(2)
Korea, South -- E23 -- 26 --- Child of E21 203(d) & 203(b)(2)

[redsox2009]

[QUOTE=Spectator;58726]redsox,

Agree except for EB2-ROW.

Total ------- 118


I had ROW EB2 as 118 in my chart, when entering values I forgot to change the august EB2 ROW values.

[Spectator]

[QUOTE=redsox2009;58727]

redsox,

Agree except for EB2-ROW.

Total ------- 118


I had ROW EB2 as 118 in my chart, when entering values I forgot to change the august EB2 ROW values.

redsox,

Easily done. Sorry for being so anal about the figures.

I'll edit your original post to correct it so people only have to look at your post.

Here's the cumulative figures from March 2017 (the first published) through September 2017.

Country --------- EB1 --- EB2 --- EB3 --- EB4 --- EB5 --- Total
China ----------- 225 ---- 74 --- 150 ----- 9 - 4,008 --- 4,466
India ------------ 24 ---- 40 --- 120 --- 114 ---- 70 ----- 368
Mexico ----------- 19 ----- 9 ---- 98 ----- 0 ---- 19 ----- 145
Philippines ------- 2 --- 155 - 1,903 ---- 49 ----- 0 --- 2,109
ROW ----------- 1,062 - 1,167 - 1,945 --- 897 - 1,004 --- 6,075

Grand Total --- 1,332 - 1,445 - 4,216 - 1,069 - 5,101 -- 13,163

[redsox2009]

October 2017 Consular Processing Figures

DOS have published the figures for Oct 2017 https://travel.state.gov/content/vis...issuances.html

Here's the analysis of the Employment Based Classes.

Oct 2017 Consular Processing - Employment Classes
Class --- China --- India --- Mexico --- Philippines ---- ROW --- Total
EB1 --------386 -------52 -------- 4 ------------- 1 ---- 244 ----- 687
EB2 -------- 11 ------- 9 -------- 2 -------------69 ---- 269 ----- 360
EB3 ---------10 ------ 20 --------27 ----------- 281 ---- 368 ----- 706
EB4 --------- 3 -------13 -------- 0 ------------- 8 -----172 ------196
EB5 ------- 597 ------ 22 -------- 3 ------------- 0 ---- 238 ----- 860

Total ----- 1007------ 116 -------36 ----------- 359 ----1291 --- 2,809

[redsox2009]

November 2017 Consular Processing Figures

DOS have published the figures for Nov 2017 https://travel.state.gov/content/tra...issuances.html

Here's the analysis of the Employment Based Classes.


Nov 2017 Consular Processing - Employment Classes

Class --- China --- India --- Mexico --- Philippines ---- ROW --- Total
EB1 --------245 -------36 -------- 2 ------------- 0 ---- 166 ----- 449
EB2 -------- 03 ------- 4 -------- 4 -------------25 ---- 228 ----- 264
EB3 ---------17 ------ 12 -------- 7 ----------- 218 ---- 303 ----- 557
EB4 --------- 1 -------10 -------- 0 ------------- 0 -----127 ------138
EB5 ------- 619 ------ 20 -------- 2 ------------- 3 ---- 325 ----- 969

Total ----- 885 ------ 082 -------15 ----------- 246 ----1149 --- 2,377

[redsox2009]

Wrote a python code to read the monthly Visa issuance spreadsheet and calculate the totals.

if interested use the code. I'm new to Python, if anyone is can tweak, you are more than welcome.

here is my amateur python code.
################################################## #################################
import openpyxl

wb = openpyxl.load_workbook("NOVEMBER 2017 - ** Issuances by FSC and Visa Class.xlsx")

sheet_names = wb.get_sheet_by_name('Table 1')

##Country={}
visa_iss_EB1 = ['E11', 'E12', 'E13','E14', 'E15']
visa_iss_EB2 = ['E21','E22','E23']
visa_iss_EB3 = ['E31','E32','E34','E35','EW3','EW4','EW5']
visa_iss_EB4 = ['BC1','SF1','BC2','SF2','BC3','SF3','SD1','SG1','S D2','SG2','SD3','SH1','SE1','SH2','SE2','SJ1','SE3 ','SJ2','SK1','SN2','SK2','SN3','SK3','SN4','SK4', 'SR1','SL1','SR2','SN1','SR3']
visa_iss_EB5 = ['C51','C52','C53','T51','T52','T53','R51','R52','R 53','I51','I52','I53']
print("Start reading damn reading")
IND_EB1_Sum = 0
CHI_EB1_Sum =0
MEX_EB1_Sum =0
PHI_EB1_Sum =0
ROW_EB1_Sum =0
IND_EB2_Sum = 0
CHI_EB2_Sum =0
MEX_EB2_Sum =0
PHI_EB2_Sum =0
ROW_EB2_Sum =0
IND_EB3_Sum = 0
CHI_EB3_Sum =0
MEX_EB3_Sum =0
PHI_EB3_Sum =0
ROW_EB3_Sum =0
IND_EB4_Sum = 0
CHI_EB4_Sum =0
MEX_EB4_Sum =0
PHI_EB4_Sum =0
ROW_EB4_Sum =0
IND_EB5_Sum = 0
CHI_EB5_Sum =0
MEX_EB5_Sum =0
PHI_EB5_Sum =0
ROW_EB5_Sum =0
row_count = sheet_names.max_row

for row in range(2, row_count + 1):
Country_name = sheet_names['A' + str(row)].value
Visa_Class = sheet_names['B' + str(row)].value
Issuances = sheet_names['C' + str(row)].value
for EB1 in visa_iss_EB1:
if Country_name == 'India':
if Visa_Class == EB1:
IND_EB1_Sum = Issuances+IND_EB1_Sum
##print(Country_name,Visa_Class,Issuances)

elif Country_name == 'China - mainland born':
if Visa_Class == EB1:
CHI_EB1_Sum = Issuances+CHI_EB1_Sum
##print(Country_name,Visa_Class,Issuances)
elif Country_name == 'Mexico':
if Visa_Class == EB1:
MEX_EB1_Sum = Issuances+MEX_EB1_Sum
elif Country_name == 'Philippines':
if Visa_Class == EB1:
PHI_EB1_Sum = Issuances+PHI_EB1_Sum
else:
if Visa_Class == EB1:
ROW_EB1_Sum = Issuances+ROW_EB1_Sum
for EB2 in visa_iss_EB2:
if Country_name == 'India':
if Visa_Class == EB2:
IND_EB2_Sum = Issuances+IND_EB2_Sum
##print(Country_name,Visa_Class,Issuances)

elif Country_name == 'China - mainland born':
if Visa_Class == EB2:
CHI_EB2_Sum = Issuances+CHI_EB2_Sum
##print(Country_name,Visa_Class,Issuances)
elif Country_name == 'Mexico':
if Visa_Class == EB2:
MEX_EB2_Sum = Issuances+MEX_EB2_Sum
elif Country_name == 'Philippines':
if Visa_Class == EB2:
PHI_EB2_Sum = Issuances+PHI_EB2_Sum
else:
if Visa_Class == EB2:
ROW_EB2_Sum = Issuances+ROW_EB2_Sum
for EB3 in visa_iss_EB3:
if Country_name == 'India':
if Visa_Class == EB3:
IND_EB3_Sum = Issuances+IND_EB3_Sum
##print(Country_name,Visa_Class,Issuances)

elif Country_name == 'China - mainland born':
if Visa_Class == EB3:
CHI_EB3_Sum = Issuances+CHI_EB3_Sum
##print(Country_name,Visa_Class,Issuances)
elif Country_name == 'Mexico':
if Visa_Class == EB3:
MEX_EB3_Sum = Issuances+MEX_EB3_Sum
elif Country_name == 'Philippines':
if Visa_Class == EB3:
PHI_EB3_Sum = Issuances+PHI_EB3_Sum
else:
if Visa_Class == EB3:
ROW_EB3_Sum = Issuances+ROW_EB3_Sum
for EB4 in visa_iss_EB4:
if Country_name == 'India':
if Visa_Class == EB4:
IND_EB4_Sum = Issuances+IND_EB4_Sum
##print(Country_name,Visa_Class,Issuances)

elif Country_name == 'China - mainland born':
if Visa_Class == EB4:
CHI_EB4_Sum = Issuances+CHI_EB4_Sum
##print(Country_name,Visa_Class,Issuances)
elif Country_name == 'Mexico':
if Visa_Class == EB4:
MEX_EB4_Sum = Issuances+MEX_EB4_Sum
elif Country_name == 'Philippines':
if Visa_Class == EB4:
PHI_EB4_Sum = Issuances+PHI_EB4_Sum
else:
if Visa_Class == EB4:
ROW_EB4_Sum = Issuances+ROW_EB4_Sum
for EB5 in visa_iss_EB5:
if Country_name == 'India':
if Visa_Class == EB5:
IND_EB5_Sum = Issuances+IND_EB5_Sum
##print(Country_name,Visa_Class,Issuances)

elif Country_name == 'China - mainland born':
if Visa_Class == EB5:
CHI_EB5_Sum = Issuances+CHI_EB5_Sum
##print(Country_name,Visa_Class,Issuances)
elif Country_name == 'Mexico':
if Visa_Class == EB5:
MEX_EB5_Sum = Issuances+MEX_EB5_Sum
elif Country_name == 'Philippines':
if Visa_Class == EB5:
PHI_EB5_Sum = Issuances+PHI_EB5_Sum
else:
if Visa_Class == EB5:
ROW_EB5_Sum = Issuances+ROW_EB5_Sum

print ("\n")
print("Total China EB1 is",CHI_EB1_Sum)
print("Total India EB1 is",IND_EB1_Sum)
print("Total Mexico EB1 is", MEX_EB1_Sum)
print("Total Philippines EB1 is", PHI_EB1_Sum)
print("Total ROW EB1 is", ROW_EB1_Sum)
print("Grand Total of EB1", CHI_EB1_Sum+IND_EB1_Sum+MEX_EB1_Sum+PHI_EB1_Sum+RO W_EB1_Sum)

print ("\n")

print("Total China EB2 is",CHI_EB2_Sum)
print("Total India EB2 is",IND_EB2_Sum)
print("Total Mexico EB2 is", MEX_EB2_Sum)
print("Total Philippines EB2 is", PHI_EB2_Sum)
print("Total ROW EB2 is", ROW_EB2_Sum)
print("Grand Total of EB2", CHI_EB2_Sum+IND_EB2_Sum+MEX_EB2_Sum+PHI_EB2_Sum+RO W_EB2_Sum)
print ("\n")

print("Total China EB3 is",CHI_EB3_Sum)
print("Total India EB3 is",IND_EB3_Sum)
print("Total Mexico EB3 is", MEX_EB3_Sum)
print("Total Philippines EB3 is", PHI_EB3_Sum)
print("Total ROW EB3 is", ROW_EB3_Sum)
print("Grand Total of EB3", CHI_EB3_Sum+IND_EB3_Sum+MEX_EB3_Sum+PHI_EB3_Sum+RO W_EB3_Sum)
print ("\n")

print("Total China EB4 is",CHI_EB4_Sum)
print("Total India EB4 is",IND_EB4_Sum)
print("Total Mexico EB4 is", MEX_EB4_Sum)
print("Total Philippines EB4 is", PHI_EB4_Sum)
print("Total ROW EB4 is", ROW_EB4_Sum)
print("Grand Total of EB4", CHI_EB4_Sum+IND_EB4_Sum+MEX_EB4_Sum+PHI_EB4_Sum+RO W_EB4_Sum)
print ("\n")

print("Total China EB5 is",CHI_EB5_Sum)
print("Total India EB5 is",IND_EB5_Sum)
print("Total Mexico EB5 is", MEX_EB5_Sum)
print("Total Philippines EB5 is", PHI_EB5_Sum)
print("Total ROW EB5 is", ROW_EB5_Sum)
print("Grand Total of EB5", CHI_EB5_Sum+IND_EB5_Sum+MEX_EB5_Sum+PHI_EB5_Sum+RO W_EB5_Sum)
print ("\n")

print("Grand Total for China", CHI_EB1_Sum+CHI_EB2_Sum+CHI_EB3_Sum+CHI_EB4_Sum+CH I_EB5_Sum)
print("Grand Total for India", IND_EB1_Sum+IND_EB2_Sum+IND_EB3_Sum+IND_EB4_Sum+IN D_EB5_Sum)
print("Grand Total for Mexico", MEX_EB1_Sum+MEX_EB2_Sum+MEX_EB3_Sum+MEX_EB4_Sum+ME X_EB5_Sum)
print("Grand Total for Philippines", PHI_EB1_Sum+PHI_EB5_Sum+PHI_EB4_Sum+PHI_EB3_Sum+PH I_EB2_Sum)
print("Grand Total for ROW", ROW_EB1_Sum+ROW_EB2_Sum+ROW_EB3_Sum+ROW_EB4_Sum+RO W_EB5_Sum)

[redsox2009]

DEC 2017 Consular Processing Figures

DEC 2017 Consular Processing - Employment Classes

Class --- China --- India --- Mexico --- Philippines ---- ROW --- Total
EB1 --------287 -------24 -------- 9 ------------- 0 ---- 210 ----- 530
EB2 -------- 05 ------- 2 -------- 1 -------------43 ---- 189 ----- 240
EB3 ---------30 ------ 33 --------25 ----------- 584 ---- 445 -----1117
EB4 --------- 3 -------02 -------- 0 ------------- 2 ----- 77 ------ 84
EB5 ------- 780 ------ 35 -------- 7 ------------- 4 ---- 459 -----1285

Total -----1105 ------ 096 -------42 ----------- 633 ----1380 --- 3,256

[redsox2009]

Q1 2018 Consular Processing Figures



Class --- China --- India --- Mexico --- Philippines ---- ROW --- Total
EB1 --------918 ------112 --------15 ------------- 1 ---- 620 -----1666
EB2 -------- 19 -------15 -------- 7 -----------137 ---- 686 ----- 864
EB3 ---------57 ------ 65 --------59 -----------1083 ----1116 -----2380
EB4 --------- 7 -------25 -------- 0 -------------10 -----376 ------418
EB5 -------1996 ------ 77 --------12 ------------- 7 ----1022 -----3114

Total -----2997 ------294 -------93 -----------1238 ----3820 ---- 8442

[redsox2009]

Jan Monthly Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	206	24	6	1	50	7	148	442
EB2	14	8	7	27	132	7	109	304
EB3	29	48	15	529	28	4	357	1010
EB4	2	16	1	5	0	0	132	156
EB5	505	41	6	0	30	100	168	850
Total	756	137	35	562	240	118	914	2762

[redsox2009]

Feb Monthly Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	214	16	18	1	24	0	186	459
EB2	6	6	4	53	160	3	116	348
EB3	101	45	4	644	62	1	353	1210
EB4	2	11	1	10	4	0	61	89
EB5	229	11	8	0	46	27	168	489
Total	552	89	35	708	296	31	884	2595

[redsox2009]

Year to Date - Monthly Visa Issuance's via consular processing.

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	1338	152	39	3	160	8	867	2567
EB2	39	29	18	217	555	14	644	1516
EB3	187	158	78	2256	195	54	1672	4600
EB4	11	52	2	25	16	20	537	663
EB5	2730	129	26	7	192	430	939	4453
Total	4305	520	163	2508	1118	526	4659	13799

[redsox2009]

2018 Mar Monthly Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	119	21	09	03	29	03	162	346
EB2	04	05	03	33	119	04	148	316
EB3	91	88	41	451	52	03	298	1024
EB4	07	09	00	00	01	00	114	131
EB5	214	23	02	00	92	140	152	623
Total	435	146	55	487	293	150	874	2440

[redsox2009]

2018 Apr Monthly Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	00	00	00	05	29	07	170	211
EB2	01	05	00	25	117	03	114	265
EB3	100	98	15	558	39	05	328	1143
EB4	05	24	01	08	02	02	158	200
EB5	70	36	15	00	29	87	145	382
Total	176	163	31	596	216	104	915	2201

[redsox2009]

Year to date Monthly Family Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	ROW	Total
Total	7209	10108	16653	8785	82368	125123

[redsox2009]

2018 May Monthly Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	00	06	05	00	15	00	217	243
EB2	08	08	11	19	71	02	147	266
EB3	64	114	37	394	52	06	339	1006
EB4	02	39	00	03	03	10	190	247
EB5	64	46	00	00	17	00	210	337
Total	138	213	53	416	158	18	1103	2099

[redsox2009]

Year to date Monthly Family and Employment Immigrant Visa Issuance

Url below
https://travel.state.gov/content/tra...issuances.html

	China	India	Mexico	Philippines	ROW	Total
EmploymentTotal	5054	1042	302	4007	10134	20539
FamilyTotal	8250	11520	18309	10091	93766	141936
Total	13304	12562	18611	14098	103900	162475

[redsox2009]

I'll let redsox continue the outstanding work in publishing those in the forum.

Did not realize what I signed up for..........................Machine broken, had to get new machine. After seeing your message tried to run my program on new machine, then realized, I did not install Acrobat Professional and Python Pips. Finally did those installs and here is the June data.

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	00	04	02	01	20	0	209	236
EB2	10	11	07	37	113	06	105	289
EB3	44	99	15	330	34	13	354	889
EB4	07	28	02	07	14	5	147	210
EB5	570	42	10	02	51	00	185	860
Total	631	184	36	377	232	24	1000	2484

[redsox2009]

Year to date Monthly Family Immigrant Visa Issuance.

	China	India	Mexico	Philippines	ROW	Total
Total	9183	12632	21524	11272	105418	160029

YTD Grand Total both EB+FB

	China	India	Mexico	Philippines	ROW	Total
Total	14868	13858	21862	15656	119647	183052

[redsox2009]

Here is the 2018 July DOS data.

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	00	00	18	00	28	00	171	217
EB2	17	10	01	08	089	000	103	228
EB3	012	099	013	382	045	004	342	897
EB4	001	032	000	003	000	001	101	138
EB5	074	039	005	000	030	001	195	344
Total	104	180	037	393	192	006	912	1824

[redsox2009]

YOD DOS Data total.

	China	India	Mexico	Philippines	South Korea	Vietnam	ROW-SK-VET	Total
EB1	1457	0183	0073	0012	0281	0018	1796	3820
EB2	0079	0068	0040	0339	1064	0029	1261	2880
EB3	0498	0656	0199	4371	0417	0085	3333	9559
EB4	033	184	005	046	036	038	1247	1589
EB5	3722	0315	0058	0009	0411	0658	1826	6999
Total	5789	1406	0375	4777	2209	0828	9463	24847