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year
int64
2.01k
2.03k
schengen_state
stringclasses
28 values
consulate_country
stringclasses
192 values
consulate_city
stringclasses
357 values
applications
int64
0
914k
uniform_visas_issued
int64
0
908k
ltv_visas_issued
int64
0
48.8k
mev_visas_issued
int64
0
896k
not_issued
int64
0
128k
not_issued_rate_pct
float64
0
100
2,014
Finland
Russian Federation
St. Petersburg
914,314
908,145
14
895,849
6,155
0.6732
2,014
Spain
Russian Federation
Moscow
861,351
845,776
678
203,684
8,531
0.9978
2,014
Greece
Russian Federation
Moscow
768,649
765,508
4
304,967
3,137
0.4081
2,014
Italy
Russian Federation
Moscow
727,792
720,564
136
715,133
7,092
0.9745
2,014
France
Russian Federation
Moscow
290,369
285,664
331
117,259
4,374
1.5064
2,014
Czech Republic
Russian Federation
Moscow
280,827
279,388
5
72,556
1,434
0.5106
2,014
Germany
Russian Federation
Moscow
268,746
261,062
117
65,318
7,567
2.8157
2,014
France
Algeria
Algiers
254,772
203,773
15
73,309
50,984
20.0116
2,014
Poland
Ukraine
Lvov
232,208
227,462
6
164,623
4,740
2.0413
2,014
Italy
China
Beijing
221,336
217,163
11
35,112
4,162
1.8804
2,014
Lithuania
Belarus
Minsk
203,958
204,537
66
70,949
275
0.1342
2,014
France
China
Shanghai
185,870
179,537
33
37,430
6,300
3.3895
2,014
France
China
Beijing
170,569
162,595
49
25,196
7,925
4.6462
2,014
Poland
Belarus
Minsk
141,665
141,451
2
105,288
212
0.1496
2,014
Germany
China
Shanghai
126,336
122,274
18
14,917
4,044
3.201
2,014
Poland
Ukraine
Lutsk
123,418
121,095
15
80,728
2,308
1.8701
2,014
Germany
China
Beijing
122,598
115,635
7
9,949
6,956
5.6738
2,014
Greece
Ukraine
Kiev
117,833
116,245
0
44,016
1,588
1.3477
2,014
Finland
Russian Federation
Moscow
112,720
111,807
122
73,096
791
0.7017
2,014
Italy
China
Shanghai
107,922
106,263
27
11,336
1,632
1.5122
2,014
Germany
Turkey
Istanbul
105,844
101,022
23
19,034
4,799
4.534
2,014
Italy
Turkey
Istanbul
105,196
104,071
42
99,110
1,083
1.0295
2,014
Italy
Russian Federation
St. Petersburg
104,354
104,028
5
103,916
321
0.3076
2,014
Poland
Belarus
Brest
103,104
102,895
9
80,680
200
0.194
2,014
Germany
Ukraine
Kiev
101,867
96,807
55
39,338
5,005
4.9133
2,014
France
Tunisia
Tunis
101,521
90,110
53
38,231
11,358
11.1878
2,014
France
Algeria
Oran
93,931
64,283
48
22,957
29,600
31.5125
2,014
France
China
Chengdu
91,788
89,627
0
2,028
2,161
2.3543
2,014
Poland
Ukraine
Kiev
90,557
89,827
36
48,922
694
0.7664
2,014
Greece
Turkey
Istanbul
89,102
86,649
34
80,640
2,397
2.6908
2,014
France
Turkey
Istanbul
82,636
79,451
38
21,290
3,147
3.8083
2,014
Austria
Russian Federation
Moscow
82,170
81,441
83
80,892
646
0.7862
2,014
France
China
Guangzhou (Canton)
81,930
78,269
82
7,473
3,579
4.3684
2,014
Spain
Colombia
Bogota
80,904
77,315
31
65,984
2,968
3.6955
2,014
Poland
Belarus
Grodno
78,938
78,761
3
58,849
174
0.2204
2,014
France
Algeria
Annaba
78,111
56,370
25
13,462
21,716
27.8015
2,014
Spain
Ukraine
Kiev
76,983
75,734
7
13,179
1,024
1.3339
2,014
France
Morocco
Casablanca
76,090
71,322
55
29,586
4,713
6.194
2,014
France
United Kingdom
London
75,232
71,039
15
11,876
4,178
5.5535
2,014
Latvia
Russian Federation
Moscow
72,903
72,696
40
46,984
167
0.2291
2,014
Poland
Russian Federation
Kaliningrad
71,401
70,901
25
56,829
475
0.6653
2,014
Germany
Belarus
Minsk
70,063
69,714
37
15,351
312
0.4453
2,014
Netherlands
Russian Federation
Moscow
68,787
66,749
36
66,190
1,754
2.5591
2,014
Poland
Russian Federation
Moscow
66,781
66,181
4
27,817
596
0.8925
2,014
Finland
Russian Federation
Petrozavodsk
65,325
65,016
20
63,976
289
0.4424
2,014
Switzerland
India
Mumbai
63,401
62,561
13
22,399
827
1.3044
2,014
Hungary
Russian Federation
Moscow
60,505
60,221
11
20,149
273
0.4512
2,014
Germany
Turkey
Ankara
58,183
50,428
1,273
11,580
6,482
11.1407
2,014
Spain
Algeria
Oran
57,836
42,497
61
9,410
13,696
24.3467
2,014
Italy
China
Guangzhou (Canton)
57,230
55,614
19
55,562
1,597
2.7905
2,014
Germany
United Arab Emirates
Dubai
56,872
51,249
784
28,019
4,839
8.5086
2,014
Portugal
Angola
Luanda
56,459
47,152
44
37,924
9,263
16.4066
2,014
Poland
Ukraine
Vinnytsya
54,867
53,981
34
44,693
852
1.5528
2,014
Germany
China
Guangzhou (Canton)
54,375
52,263
67
5,618
2,045
3.7609
2,014
Lithuania
Russian Federation
Moscow
54,014
53,327
0
25,650
451
0.8386
2,014
Italy
Ukraine
Kiev
53,626
48,939
3,855
14,805
832
1.5515
2,014
France
Saudi Arabia
Jeddah
52,479
50,851
13
37,748
1,615
3.0774
2,014
France
Egypt
Cairo
52,203
46,518
2
10,618
5,683
10.8863
2,014
Spain
Algeria
Algiers
51,940
31,495
68
10,897
18,550
37.0163
2,014
France
Saudi Arabia
Riyadh
50,302
49,630
137
38,215
535
1.0636
2,014
Germany
Kuwait
Kuwait
49,426
47,783
26
35,068
1,617
3.2716
2,014
France
Kuwait
Kuwait
49,132
48,006
10
38,368
1,116
2.2714
2,014
Germany
Russian Federation
Novosibirsk
48,610
46,312
2
7,263
2,296
4.7233
2,014
Italy
Saudi Arabia
Riyadh
48,305
47,450
459
44,111
396
0.8198
2,014
Hungary
Ukraine
Kiev
48,260
47,343
9
18,553
908
1.8815
2,014
Finland
Russian Federation
Murmansk
47,163
46,889
0
46,571
274
0.581
2,014
Lithuania
Russian Federation
Kaliningrad
46,932
46,804
0
27,201
128
0.2727
2,014
Estonia
Russian Federation
St. Petersburg
46,845
46,608
17
44,741
121
0.2588
2,014
Spain
Morocco
Tanger
46,560
40,244
710
21,104
4,125
9.1506
2,014
Hungary
Ukraine
Uzhhorod
45,648
45,147
18
28,480
483
1.0581
2,014
Germany
Saudi Arabia
Riyadh
45,419
43,018
538
11,074
1,863
4.1018
2,014
Italy
Belarus
Minsk
44,786
44,653
102
26,856
31
0.0692
2,014
Germany
Thailand
Bangkok
44,557
43,141
4
2,522
1,412
3.169
2,014
France
Morocco
Rabat
44,067
42,076
20
22,901
1,971
4.4727
2,014
Germany
Russian Federation
Kaliningrad
43,239
42,769
1
27,804
469
1.0847
2,014
Switzerland
Russian Federation
Moscow
43,034
42,751
108
30,850
175
0.4067
2,014
Italy
India
Mumbai
42,623
41,567
6
40,224
1,050
2.4635
2,014
Greece
Russian Federation
Novorossiisk
42,601
42,519
0
18,747
82
0.1925
2,014
Greece
Russian Federation
St. Petersburg
42,287
42,160
0
7,666
127
0.3003
2,014
Latvia
Belarus
Minsk
42,028
41,797
47
10,137
184
0.4378
2,014
Estonia
Belarus
Minsk
41,874
41,110
22
19,666
520
1.2484
2,014
France
Morocco
Fes
41,781
36,785
28
18,988
4,968
11.8906
2,014
France
Lebanon
Beirut
40,988
38,726
93
13,345
2,169
5.2918
2,014
Sweden
Russian Federation
Moscow
39,944
38,376
0
15,811
637
1.6328
2,014
Poland
Ukraine
Kharkov
39,853
38,791
76
22,380
986
2.4741
2,014
Estonia
Russian Federation
Moscow
39,652
39,256
0
25,199
299
0.7559
2,014
France
Thailand
Bangkok
39,543
38,049
7
14,438
1,487
3.7605
2,014
Spain
Turkey
Istanbul
39,500
38,403
93
2,264
695
1.7734
2,014
Germany
Iran, Islamic Republic Of
Teheran
39,133
34,507
147
4,239
4,479
11.4456
2,014
Spain
China
Beijing
39,066
38,083
6
1,603
585
1.5126
2,014
Switzerland
China
Beijing
39,062
38,081
23
3,746
958
2.4525
2,014
Lithuania
Ukraine
Kiev
38,993
37,349
16
30,746
236
0.6276
2,014
Germany
India
Mumbai
38,201
36,938
6
5,259
1,257
3.2905
2,014
Spain
Morocco
Casablanca
38,016
31,337
59
11,085
4,632
12.8567
2,014
France
Nigeria
Lagos
37,282
20,671
32
4,120
16,579
44.4692
2,014
France
Ukraine
Kiev
35,865
35,520
18
7,285
327
0.9118
2,014
Germany
Russian Federation
Yekaterinburg
35,008
34,181
19
6,312
808
2.308
2,014
Italy
United Arab Emirates
Dubai
34,699
31,640
979
25,194
2,080
5.9944
2,014
Lithuania
Belarus
Grodno
34,616
34,984
22
15,497
54
0.154
2,014
Netherlands
Indonesia
Jakarta
33,544
33,138
2
33,106
366
1.0923
End of preview. Expand in Data Studio

Visa approval and refusal rates: Schengen consulates and US nationalities

Three government datasets, normalised across years and made usable. The numbers are not mine — they are the European Commission's and the US State Department's. What is mine is the reconciliation: the EU publishes one spreadsheet per year with country labels that drift between them, and the US publishes PDFs.

Maintained at visachances.com, which is built from these files.

What's here

file rows grain period
schengen_visa_outcomes_by_consulate_2014_2025.csv 22,027 Schengen state × consulate × year 2014–2025
us_b_visa_refusal_rates_by_nationality_FY2006_FY2025.csv 3,577 nationality × fiscal year FY2006–FY2025
us_niv_refusal_rates_by_visa_class_FY2013_FY2024.csv 926 visa class × fiscal year FY2013–FY2024

The Schengen file is the interesting one. It covers 28 deciding states, 357 consulates in 192 countries, and it is as far as I know the only public dataset that crosses where an application was lodged with which state decided it. The US publishes nothing equivalent.

Read this before you use the Schengen file

Two things will lead you to publish something wrong.

1. consulate_country is not nationality

The source column is headed "Country where the consulate is located." It is where the application was lodged, not the applicant's citizenship.

For a country whose nationals need a visa the two are nearly the same thing — almost everyone applying at a Schengen consulate in India is an Indian national. For a visa-exempt country they are not remotely the same. The 2025 file records 1,988 decisions at Schengen consulates in Brazil and 2,160 in Denmark: absurd as national refusal rates for 200 million Brazilians, or for Danes who need no Schengen visa at all, and perfectly sensible as third-country nationals resident in those places.

This is why "Schengen refusal rates by nationality" tables built from this file tend to show Denmark, Austria, Germany and Sweden among the lowest — those rows are a handful of resident third-country nationals, not the country's citizens. If you aggregate this column, say "lodged in", not "from".

2. The refusal rate is not not_issued / applications

The European Commission's own definition, which not_issued_rate_pct reproduces:

not_issued_rate = not_issued / (uniform_visas_issued + ltv_visas_issued + not_issued)

Decisions in a given year include applications lodged late in the previous year and exclude withdrawn ones, so applications is the wrong denominator and understates the rate. The column here was checked against the Commission's own published rate to fifteen decimal places.

A worked example, India 2024: 165,266 / (936,748 + 2,949 + 165,266) = 14.9567%

And one caveat on interpretation

A consulate's refusal rate reflects who applies there as much as how it decides. Germany's Mumbai and Kolkata posts apply identical law to different applicant pools. Treat these as outcomes, not a leniency ranking.

Read this before you use the US files

The US publishes three mutually exclusive marginal tables, and the cross you probably want does not exist:

  • refusal rates by nationality — B visitor visas only
  • refusal rates by visa class — worldwide, all nationalities pooled
  • refusal grounds (214(b), 221(g)) — neither by nationality nor by class

So there is no official US student or work visa refusal rate for any single country. Not for India, not for anyone. The statutory basis is 8 U.S.C. § 1202(f), a FOIA Exemption 3 withholding statute. If you find an "F-1 refusal rate for India" anywhere, it is derived, and whoever derived it should say so.

adjusted_refusal_rate_pct is the State Department's adjusted rate, which nets out refusals later overcome. Two values in the series are legitimately negative (Luxembourg FY2006, Kuwait FY2009) because overcomes exceeded refusals in the period. A printed 0.00 is genuinely ambiguous in the source — every application issued, or no applications at all — and should not be read as a 100% approval rate.

Provenance and verification

Sources, both primary:

What was verified: 22 country-year cells checked against the source PDFs across six fiscal years, all matching including deliberately odd mixed-precision values; the FY2025 nationality table checked line-by-line against an independent published copy, matching on all 191 values; every class-level year reconciled against its source document's own printed grand total; Schengen totals reconciled against the Commission's published headline figures for 2019, 2023, 2024 and 2025 (2025: 12,201,026 applications, 14.65% not issued, against the Commission's published 14.6%).

What was corrected: country-label drift. Only 173 of 245 raw spellings appear in all years; casing flips from Title Case to UPPER at FY2015, and CHINA - MAINLAND/CHINA, MACAU/MACAU S. A. R. are the same places. Left untreated, any cross-year comparison silently drops rows. Aggregate rows (NON-NATIONALITY BASED ISSUANCES, UNKNOWN NATIONALITY OR STATELESS) are excluded — they are not countries and would corrupt any ranking.

Known limitation: the US tables were extracted from PDFs by a language model rather than a deterministic parser. The verification above is what stands behind them; if you find a discrepancy against the source, it is a bug and I want to hear about it.

Licence

CC-BY-4.0 for this compilation. The underlying sources are reusable in their own right — European Commission documents under Decision 2011/833/EU with attribution, US federal government works as public domain. Please cite the primary source alongside this dataset; my contribution is the normalisation, not the figures.

Citation

@misc{visachances_visa_outcomes,
  title  = {Visa approval and refusal rates: Schengen consulates and US nationalities},
  author = {VisaChances},
  year   = {2026},
  url    = {https://visachances.com/data.html},
  note   = {Compiled from European Commission consulate statistics and
            US Department of State visa statistics}
}
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