In this post I make a breif analisys of CPC patent classification coverage by patent office.
This classification, jointly developed by EPO and USPTO, is in tanle TLS224_appln_cpc and it's expected to have a good coverage in the two concerned patent offices, but what about the rest?
I ran this simple query, giving a cut for appln_auth with less than 10K applications (if you want all just remove last line in the sql)
SELECT
a.APPLN_KIND,
a.APPLN_AUTH,
Count(distinct a.APPLN_ID) AS Count_APPLN_ID, count(distinct b.appln_id) count_app_with_cpc, count(distinct b.appln_id)/Count(distinct a.APPLN_ID) as ratio
FROM
patstat.tls201_appln a
LEFT JOIN patstat.tls224_appln_cpc b ON a.APPLN_ID = b.appln_id
WHERE
a.APPLN_KIND in ('A','W', 'U')
GROUP BY
a.APPLN_KIND,
a.APPLN_AUTH
having Count_APPLN_ID > 10000
Results are, as many other in PATSTAT, very biased toward EU/US and PCT procedure; FI China, Japan have a small coverage.
IF I limit the analisys to the last 10 years (>2005) we might expect an improvement, maybe some data are not available because CPC classification is very recent.
In reality results do not improve, showing that very likely the issue is about data transmission to EPO of patent classification, from other authorities.
SELECT
a.APPLN_KIND,
a.APPLN_AUTH,
Count(distinct a.APPLN_ID) AS Count_APPLN_ID, count(distinct b.appln_id) count_app_with_cpc, count(distinct b.appln_id)/Count(distinct a.APPLN_ID) as ratio
FROM
patstat.tls201_appln a
LEFT JOIN patstat.tls224_appln_cpc b ON a.APPLN_ID = b.appln_id
WHERE
a.APPLN_KIND in ('A','W', 'U') and a.earliest_filing_year >2005
GROUP BY
a.APPLN_KIND,
a.APPLN_AUTH
having Count_APPLN_ID > 10000
This classification, jointly developed by EPO and USPTO, is in tanle TLS224_appln_cpc and it's expected to have a good coverage in the two concerned patent offices, but what about the rest?
I ran this simple query, giving a cut for appln_auth with less than 10K applications (if you want all just remove last line in the sql)
SELECT
a.APPLN_KIND,
a.APPLN_AUTH,
Count(distinct a.APPLN_ID) AS Count_APPLN_ID, count(distinct b.appln_id) count_app_with_cpc, count(distinct b.appln_id)/Count(distinct a.APPLN_ID) as ratio
FROM
patstat.tls201_appln a
LEFT JOIN patstat.tls224_appln_cpc b ON a.APPLN_ID = b.appln_id
WHERE
a.APPLN_KIND in ('A','W', 'U')
GROUP BY
a.APPLN_KIND,
a.APPLN_AUTH
having Count_APPLN_ID > 10000
APPLN_KIND
|
APPLN_AUTH
|
Count_APPLN_ID
|
count_app_with_cpc
|
ratio
|
A
|
AR
|
143854
|
103392
|
0,7187
|
A
|
AT
|
586654
|
174188
|
0,2969
|
A
|
AU
|
987424
|
723214
|
0,7324
|
A
|
BE
|
646087
|
551562
|
0,8537
|
A
|
BG
|
43815
|
10902
|
0,2488
|
A
|
BR
|
528463
|
357156
|
0,6758
|
A
|
CA
|
3192685
|
1253286
|
0,3925
|
A
|
CH
|
1048056
|
570376
|
0,5442
|
A
|
CL
|
11826
|
9228
|
0,7803
|
A
|
CN
|
5810469
|
1977959
|
0,3404
|
A
|
CO
|
23351
|
18157
|
0,7776
|
A
|
CS
|
163205
|
32824
|
0,2011
|
A
|
CZ
|
51254
|
35776
|
0,698
|
A
|
DD
|
235473
|
47646
|
0,2023
|
A
|
DE
|
4590544
|
3836312
|
0,8357
|
A
|
DK
|
318552
|
118879
|
0,3732
|
A
|
EA
|
40793
|
36499
|
0,8947
|
A
|
EG
|
14049
|
10349
|
0,7366
|
A
|
EP
|
3150486
|
3039800
|
0,9649
|
A
|
ES
|
421955
|
201679
|
0,478
|
A
|
FI
|
250436
|
111626
|
0,4457
|
A
|
FR
|
3091545
|
2380576
|
0,77
|
A
|
GB
|
3376290
|
2110469
|
0,6251
|
A
|
GR
|
69161
|
24458
|
0,3536
|
A
|
HK
|
127831
|
114540
|
0,896
|
A
|
HR
|
11539
|
6773
|
0,587
|
A
|
HU
|
128298
|
70045
|
0,546
|
A
|
ID
|
12502
|
10306
|
0,8243
|
A
|
IE
|
91640
|
42965
|
0,4688
|
A
|
IL
|
214488
|
120983
|
0,5641
|
A
|
IN
|
104686
|
45932
|
0,4388
|
A
|
IT
|
604939
|
327372
|
0,5412
|
A
|
JP
|
13783554
|
4347397
|
0,3154
|
A
|
KR
|
2729625
|
1113216
|
0,4078
|
A
|
LU
|
68593
|
59739
|
0,8709
|
A
|
MA
|
18584
|
13679
|
0,7361
|
A
|
MX
|
255693
|
229828
|
0,8988
|
A
|
MY
|
49897
|
39764
|
0,7969
|
A
|
NL
|
593500
|
526752
|
0,8875
|
A
|
NO
|
221586
|
170704
|
0,7704
|
A
|
NZ
|
139141
|
108558
|
0,7802
|
A
|
OA
|
13410
|
13136
|
0,9796
|
A
|
PE
|
19116
|
17210
|
0,9003
|
A
|
PH
|
26156
|
20769
|
0,794
|
A
|
PL
|
244106
|
79350
|
0,3251
|
A
|
PT
|
41819
|
33927
|
0,8113
|
A
|
RO
|
71993
|
15081
|
0,2095
|
A
|
RU
|
642467
|
192483
|
0,2996
|
A
|
SE
|
857962
|
329536
|
0,3841
|
A
|
SG
|
97293
|
85477
|
0,8786
|
A
|
SK
|
23906
|
19096
|
0,7988
|
A
|
SU
|
1363162
|
100320
|
0,0736
|
A
|
TR
|
29672
|
14789
|
0,4984
|
A
|
TW
|
697410
|
469009
|
0,6725
|
A
|
UA
|
53803
|
17525
|
0,3257
|
A
|
US
|
12495559
|
11412288
|
0,9133
|
A
|
UY
|
10210
|
8238
|
0,8069
|
A
|
YU
|
43063
|
24681
|
0,5731
|
A
|
ZA
|
293233
|
191248
|
0,6522
|
U
|
AT
|
15709
|
10549
|
0,6715
|
U
|
BR
|
102317
|
4534
|
0,0443
|
U
|
CN
|
5420771
|
230697
|
0,0426
|
U
|
CZ
|
29388
|
2229
|
0,0758
|
U
|
DE
|
1399753
|
611580
|
0,4369
|
U
|
ES
|
325927
|
31774
|
0,0975
|
U
|
FI
|
12437
|
1473
|
0,1184
|
U
|
IT
|
139494
|
12912
|
0,0926
|
U
|
JP
|
4286792
|
116688
|
0,0272
|
U
|
KR
|
503468
|
17394
|
0,0345
|
U
|
PL
|
23218
|
913
|
0,0393
|
U
|
RU
|
162859
|
5533
|
0,034
|
U
|
TR
|
23205
|
436
|
0,0188
|
U
|
TW
|
398483
|
31273
|
0,0785
|
U
|
UA
|
98814
|
1900
|
0,0192
|
W
|
AT
|
10289
|
10257
|
0,9969
|
W
|
AU
|
38912
|
38611
|
0,9923
|
W
|
CA
|
39496
|
39314
|
0,9954
|
W
|
CH
|
13751
|
13566
|
0,9865
|
W
|
CN
|
143897
|
140148
|
0,9739
|
W
|
DE
|
64921
|
64671
|
0,9961
|
W
|
DK
|
17546
|
17422
|
0,9929
|
W
|
EP
|
446196
|
444400
|
0,996
|
W
|
ES
|
16506
|
16379
|
0,9923
|
W
|
FI
|
24782
|
24678
|
0,9958
|
W
|
FR
|
80138
|
79859
|
0,9965
|
W
|
GB
|
112553
|
112219
|
0,997
|
W
|
IB
|
129773
|
128258
|
0,9883
|
W
|
IL
|
21456
|
21332
|
0,9942
|
W
|
IT
|
12395
|
12255
|
0,9887
|
W
|
JP
|
480898
|
475730
|
0,9893
|
W
|
KR
|
112245
|
111369
|
0,9922
|
W
|
NL
|
20444
|
20164
|
0,9863
|
W
|
RU
|
13810
|
13702
|
0,9922
|
W
|
SE
|
52713
|
52544
|
0,9968
|
W
|
US
|
974794
|
972636
|
0,9978
|
Results are, as many other in PATSTAT, very biased toward EU/US and PCT procedure; FI China, Japan have a small coverage.
IF I limit the analisys to the last 10 years (>2005) we might expect an improvement, maybe some data are not available because CPC classification is very recent.
In reality results do not improve, showing that very likely the issue is about data transmission to EPO of patent classification, from other authorities.
SELECT
a.APPLN_KIND,
a.APPLN_AUTH,
Count(distinct a.APPLN_ID) AS Count_APPLN_ID, count(distinct b.appln_id) count_app_with_cpc, count(distinct b.appln_id)/Count(distinct a.APPLN_ID) as ratio
FROM
patstat.tls201_appln a
LEFT JOIN patstat.tls224_appln_cpc b ON a.APPLN_ID = b.appln_id
WHERE
a.APPLN_KIND in ('A','W', 'U') and a.earliest_filing_year >2005
GROUP BY
a.APPLN_KIND,
a.APPLN_AUTH
having Count_APPLN_ID > 10000
APPLN_KIND
|
APPLN_AUTH
|
Count_APPLN_ID
|
count_app_with_cpc
|
ratio
|
A
|
AR
|
37718
|
30567
|
0,8104
|
A
|
AT
|
17481
|
12258
|
0,7012
|
A
|
AU
|
246785
|
190383
|
0,7715
|
A
|
BE
|
204142
|
192894
|
0,9449
|
A
|
BR
|
118530
|
88414
|
0,7459
|
A
|
CA
|
1841118
|
297277
|
0,1615
|
A
|
CH
|
15308
|
11809
|
0,7714
|
A
|
CL
|
10342
|
8322
|
0,8047
|
A
|
CN
|
4751372
|
1369961
|
0,2883
|
A
|
CO
|
11994
|
9692
|
0,8081
|
A
|
DD
|
59182
|
1291
|
0,0218
|
A
|
DE
|
784461
|
736800
|
0,9392
|
A
|
DK
|
60805
|
2562
|
0,0421
|
A
|
EA
|
25419
|
22211
|
0,8738
|
A
|
EP
|
1154319
|
1090219
|
0,9445
|
A
|
ES
|
24405
|
22123
|
0,9065
|
A
|
FI
|
56764
|
9281
|
0,1635
|
A
|
FR
|
179749
|
175792
|
0,978
|
A
|
GB
|
257096
|
108321
|
0,4213
|
A
|
HK
|
41888
|
34428
|
0,8219
|
A
|
IL
|
43564
|
35846
|
0,8228
|
A
|
IN
|
44875
|
21109
|
0,4704
|
A
|
IT
|
83093
|
57989
|
0,6979
|
A
|
JP
|
3051373
|
1031840
|
0,3382
|
A
|
KR
|
1488091
|
644638
|
0,4332
|
A
|
MX
|
98924
|
91765
|
0,9276
|
A
|
MY
|
12219
|
7964
|
0,6518
|
A
|
NL
|
128117
|
113945
|
0,8894
|
A
|
NO
|
13834
|
11155
|
0,8063
|
A
|
NZ
|
27915
|
21952
|
0,7864
|
A
|
PL
|
28766
|
4635
|
0,1611
|
A
|
RU
|
332559
|
107907
|
0,3245
|
A
|
SE
|
516187
|
78022
|
0,1512
|
A
|
SG
|
50077
|
45657
|
0,9117
|
A
|
TR
|
11142
|
1607
|
0,1442
|
A
|
TW
|
420134
|
270784
|
0,6445
|
A
|
UA
|
26091
|
8445
|
0,3237
|
A
|
US
|
3611958
|
3525507
|
0,9761
|
A
|
ZA
|
35141
|
24542
|
0,6984
|
U
|
BR
|
22582
|
2877
|
0,1274
|
U
|
CN
|
4536473
|
205099
|
0,0452
|
U
|
CZ
|
13110
|
1178
|
0,0899
|
U
|
DE
|
450225
|
142846
|
0,3173
|
U
|
ES
|
24676
|
3740
|
0,1516
|
U
|
IT
|
20400
|
2419
|
0,1186
|
U
|
JP
|
76949
|
6040
|
0,0785
|
U
|
KR
|
119275
|
9100
|
0,0763
|
U
|
RU
|
107186
|
4734
|
0,0442
|
U
|
TR
|
16253
|
286
|
0,0176
|
U
|
TW
|
216656
|
15305
|
0,0706
|
U
|
UA
|
90212
|
1687
|
0,0187
|
W
|
AU
|
15372
|
15120
|
0,9836
|
W
|
CA
|
18968
|
18836
|
0,993
|
W
|
CN
|
132211
|
128494
|
0,9719
|
W
|
DE
|
15566
|
15495
|
0,9954
|
W
|
EP
|
269767
|
268788
|
0,9964
|
W
|
ES
|
10324
|
10248
|
0,9926
|
W
|
FI
|
10036
|
9949
|
0,9913
|
W
|
FR
|
31816
|
31649
|
0,9948
|
W
|
GB
|
39827
|
39618
|
0,9948
|
W
|
IB
|
82317
|
81189
|
0,9863
|
W
|
IL
|
11361
|
11270
|
0,992
|
W
|
JP
|
321399
|
316659
|
0,9853
|
W
|
KR
|
88622
|
87809
|
0,9908
|
W
|
SE
|
16835
|
16736
|
0,9941
|
W
|
US
|
470474
|
468811
|
0,9965
|
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