Maxmind dataset for geolocation

 At web page:

https://www.maxmind.com/en/open-source-data-and-api-for-ip-geolocation

Maxmind delivers some dataset useful for geolocation:

GeoLite2 databases are free IP geolocation databases; The GeoLite2 Country and City databases are updated on the first Tuesday of each month. The GeoLite2 ASN database is updated every Tuesday.

IP Geolocation Usage

IP geolocation is inherently imprecise. Locations are often near the center of the population. Any location provided by a GeoIP database should not be used to identify a particular address or household.
Use the Accuracy Radius as an indication of geolocation accuracy for the latitude and longitude coordinates we return for an IP address. The actual location of the IP address is likely within the area defined by this radius and the latitude and longitude coordinates.

Includes city, region, country, latitude and longitude. This product doesn't contain any IP addresses.

Includes the following fields: ( Technical Details )

• Country Code
• ASCII City Name
• City Name
• Region
• Population
• Latitude (The approximate latitude of the postal code, city, subdivision or country associated with the IP address.*)
• Longitude (The approximate latitude of the postal code, city, subdivision or country associated with the IP address.*)

Another interseting dataset, even if no more mantained is World cities with population:

City/state/country text as it appears in source files is algorithmically matched against a master geocode file from Google and MaxMind open source files.

Google Patents public dataset

Since october 31st 2017 are available in google cloud and BigQuery platform patents data that stand behind google patents, that means worldwide bibliographic information on more than 90 million patent publications from 17 countries and US full text, provided by IFI CLAIMS Patent Services.

https://cloud.google.com/blog/big-data/2017/10/google-patents-public-datasets-connecting-public-paid-and-private-patent-data

in below page you can also find more details and examples

https://console.cloud.google.com/launcher/details/google_patents_public_datasets/google-patents-public-data

Addresses quality checks in PATSTAT2017b by application authority

After uploading new PATSTAT version I ran a check on coverage of addresses and at what level, also comparing with 2017a version;
I show here two tables for inventors and applicants, for authorities with more than 100K addresses.
So, for example column street ratio means the percentage of person ids in that application authority that have a street level address.
SRchg means the change betwwen 2017b and 2017a at street level coverage.
You'll note a big difference in coverage for EP between inventors and applciants; that is due to PCT patents.


For inventors.

appln_auth	npersons	streetratio	cityratio	countryratio	srchg	crchg	crchg
AT	950789	0	0.0022	0.7225	0	1	0.995
AU	1531395	0	0.0039	0.0524	0	1.05	0.919
BE	110226	0	0.0572	0.4439	0	1	0.998
BR	872265	0	0.1876	0.3284	0	0.96	1.112
CA	2141815	0	0.0025	0.6627	0	1.04	1.003
CH	466504	0	0.0032	0.8701	0	1	0.998
CN	4266447	0	0.0084	0.4163	0	1.12	0.916
CS	152592	0	0.0007	0.63	0	1	0.977
CZ	110426	0	0.0027	0.9955	0	1	0.999
DD	191187	0	0.026	0.7255	0	1	0.968
DE	3994768	0	0.0018	0.6704	0	1	0.998
DK	504473	0	0.119	0.6812	0	1.23	1
EP	6330666	0.92	0.9257	0.9965	1	1	1
ES	802033	0	0.0006	0.6699	0	1	0.967
FI	311973	0.0021	0.4677	0.8749	1	1	0.995
FR	1014297	0	0.0079	0.3407	0	0.99	0.959
GB	1085279	0	0.2004	0.4916	0	0.99	1.004
GR	105370	0	0.0011	0.4617	0	1	0.973
HK	252844	0	0	0.0929	0	0	0.815
HU	190601	0	0.0186	0.5856	0	0.95	1.022
IB	188565	0	0.0603	0.9237	0	1.06	1.002
IN	176692	0.001	0.3954	0.5362	1	1	0.961
IT	382664	0	0.0026	0.3065	0	1	0.921
JP	2859655	0	0.0203	0.1535	0	1.06	0.865
KR	1611359	0	0.0116	0.8534	0	1.14	0.982
MX	441343	0	0	0.4538	0	0	0.974
NO	316623	0	0.0041	0.6192	0	1	0.995
NZ	223382	0	0.0022	0.0642	0	1.05	0.719
PL	287538	0	0.097	0.7545	0	1.34	1.016
PT	168647	0	0.0005	0.9983	0	1	1
RO	106423	0	0.0293	0.6197	0	1.74	1.004
RU	809149	0.0007	0.0787	0.8349	1.75	1.85	1.012
SE	367199	0	0.0178	0.2765	0	1.01	0.984
SG	231036	0	0.3751	0.6641	0	1.11	0.978
SU	1350765	0	0.0026	0.5436	0	1	0.964
TW	852269	0	0	0.9993	0	0	1
UA	143286	0	0.0008	0.9985	0	1	1
US	10656438	0.0134	0.6699	0.8471	0.98	1	1.002
ZA	395683	0	0.0015	0.049	0	1.88	0.664

For applicants

appln_auth	npersons	streetratio	cityratio	countryratio	srchg	crchg	crchg
AT	341922	0	0.0052	0.6823	0	1	0.9912829
AU	503096	0	0.0066	0.1304	0	1.03125	0.956713133
BE	101431	0	0.0664	0.3201	0	0.998496241	0.983712354
BR	296562	0.0002	0.1405	0.8121	0.666666667	0.98943662	0.980797101
CA	862535	0.0001	0.0485	0.6535	1	0.995893224	0.998014661
CH	284867	0	0.0033	0.8876	0	1	0.997527534
CN	2278384	0	0.0054	0.3803	0	1.038461538	0.924854086
CS	117511	0	0.0003	0.5866	0	1	0.95165477
DE	1513829	0	0.0014	0.5525	0	1	0.977184294
DK	192204	0.0001	0.0722	0.805	1	1.199335548	0.994686766
EP	1060347	0.6264	0.6311	0.9973	1.004651163	1.005256451	0.999498898
ES	511244	0	0.0005	0.502	0	1	0.90515687
FI	122141	0.0015	0.3993	0.9551	1.071428571	0.996257485	0.99614101
FR	648475	0	0.0055	0.7175	0	1	0.997220292
GB	1201337	0.0002	0.0751	0.3621	1	0.997343958	0.993143171
IB	149468	0.0001	0.0278	0.9911	1	1.07751938	0.999798245
IL	139467	0	0.0269	0.4949	0	1.735483871	0.994573955
IT	380740	0	0.2215	0.7166	0	1	0.993208593
JP	885468	0	0.0082	0.3509	0	1.037974684	0.955870335
KR	513961	0	0.0085	0.8975	0	1.118421053	0.998553627
NL	105990	0	0.0346	0.4917	0	1.459915612	1.010273269
RU	242143	0.0005	0.0567	0.7203	1.666666667	1.75	1.015078918
SE	158039	0.0001	0.0184	0.7743	1	1	0.986746527
SU	598130	0	0.0017	0.5591	0	1	0.885632821
TW	214743	0	0	0.9993	0	0	1
US	6478266	0.0101	0.5979	0.8035	0.990196078	1.001339809	0.938448961
ZA	104475	0	0.1294	0.2184	0	1.172101449	1.016286645