GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-27T04:46:09Z,
for the dataset file:///shared/thebus-org-thebus-1_b093c35e.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
TheBus
Publisher URL:
http://www.thebus.org
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-05-20
Feed End Date:
2026-08-22

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 2
  • Blocks: 2608
  • Routes: 118
  • Shapes: 549
  • Stops: 3831
  • Trips: 37655

Specification Compliance report

209052 notices reported (1203 errors, 132486 warnings, 75363 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 1203

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 1203 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"5314591" "2341" 67820 233110.8 142 67596 233110.8 141
"5314592" "2341" 329249 68013.9 51 314557 68013.9 50
"5314585" "2341" 67819 233110.8 142 67595 233110.8 141
"5314586" "2341" 329248 68013.9 51 314556 68013.9 50
"5326562" "2341" 67893 233110.8 142 67669 233110.8 141
"5326528" "2341" 329327 68013.9 51 314635 68013.9 50
"5326527" "2341" 329326 68013.9 51 314634 68013.9 50
"5326522" "2341" 329325 68013.9 51 314633 68013.9 50
"5326525" "2341" 67892 233110.8 142 67668 233110.8 141
"5326538" "2341" 329330 68013.9 51 314638 68013.9 50
"5326530" "2341" 329328 68013.9 51 314636 68013.9 50
"5326535" "2341" 329329 68013.9 51 314637 68013.9 50
"5326546" "2341" 329331 68013.9 51 314639 68013.9 50
"5314500" "2341" 329246 68013.9 51 314554 68013.9 50
"5326554" "2341" 329332 68013.9 51 314640 68013.9 50
"5314571" "2341" 329247 68013.9 51 314555 68013.9 50
"5326507" "2341" 329319 68013.9 51 314627 68013.9 50
"5326506" "2341" 67889 233110.8 142 67665 233110.8 141
"5326509" "2341" 329320 68013.9 51 314628 68013.9 50
"5326504" "2341" 67888 233110.8 142 67664 233110.8 141
"5326503" "2341" 67887 233110.8 142 67663 233110.8 141
"5326501" "2341" 329318 68013.9 51 314626 68013.9 50
"5326519" "2341" 329324 68013.9 51 314632 68013.9 50
"5326517" "2341" 67891 233110.8 142 67667 233110.8 141
"5326511" "2341" 329321 68013.9 51 314629 68013.9 50
"5326515" "2341" 67890 233110.8 142 67666 233110.8 141
"5326514" "2341" 329323 68013.9 51 314631 68013.9 50
"5326512" "2341" 329322 68013.9 51 314630 68013.9 50
"5326485" "2341" 329316 68013.9 51 314624 68013.9 50
"5326483" "2341" 67995 155078.8 142 67994 155078.8 141
"5326488" "2341" 67883 233110.8 142 67659 233110.8 141
"5326487" "2341" 67882 233110.8 142 67658 233110.8 141
"5326491" "2341" 67885 233110.8 142 67661 233110.8 141
"5326490" "2341" 67884 233110.8 142 67660 233110.8 141
"5326495" "2341" 67997 155078.8 142 67996 155078.8 141
"5326493" "2341" 329317 68013.9 51 314625 68013.9 50
"5326498" "2341" 67886 233110.8 142 67662 233110.8 141
"5326453" "2341" 67875 233110.8 142 67651 233110.8 141
"5326458" "2341" 67876 233110.8 142 67652 233110.8 141
"5326463" "2341" 67877 233110.8 142 67653 233110.8 141
"5326466" "2341" 67878 233110.8 142 67654 233110.8 141
"5326469" "2341" 67993 155078.8 142 67992 155078.8 141
"5326474" "2341" 67880 233110.8 142 67656 233110.8 141
"5326471" "2341" 67879 233110.8 142 67655 233110.8 141
"5326477" "2341" 329315 68013.9 51 314623 68013.9 50
"5326475" "2341" 329314 68013.9 51 314622 68013.9 50
"5326479" "2341" 67881 233110.8 142 67657 233110.8 141
"5326409" "2341" 329313 68013.9 51 314621 68013.9 50
"5326401" "2341" 329312 68013.9 51 314620 68013.9 50
"5326417" "2341" 67874 233110.8 142 67650 233110.8 141
expired_calendar WARNING 64

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 64 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "27555"
4 "27560"
5 "27561"
6 "27562"
7 "27563"
8 "27564"
9 "27565"
10 "27566"
11 "27567"
12 "27570"
13 "27573"
14 "27574"
15 "27576"
16 "27580"
17 "27581"
18 "27582"
19 "27583"
20 "27584"
21 "27585"
22 "27586"
23 "27589"
24 "27592"
25 "27593"
26 "27598"
27 "27601"
28 "27602"
29 "27603"
30 "27604"
31 "27607"
32 "27608"
33 "27611"
34 "27612"
35 "27613"
36 "27614"
37 "27615"
38 "27616"
39 "27617"
40 "27618"
42 "27623"
86 "27554"
87 "27556"
89 "27558"
90 "27568"
91 "27569"
92 "27571"
93 "27572"
94 "27575"
95 "27577"
96 "27578"
97 "27579"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "5296229" 1
3 "5296237" 1
4 "5296238" 1
5 "5296245" 1
6 "5296246" 1
7 "5296247" 1
8 "5296249" 1
9 "5296253" 1
10 "5296254" 1
11 "5296255" 1
12 "5296257" 1
13 "5296261" 1
14 "5296262" 1
15 "5296263" 1
16 "5296264" 1
17 "5296265" 1
18 "5296266" 1
19 "5296267" 1
20 "5296270" 1
21 "5296271" 1
22 "5296272" 1
23 "5296273" 1
24 "5296274" 1
25 "5296275" 1
26 "5296277" 1
27 "5296278" 1
28 "5296279" 1
29 "5296280" 1
30 "5296281" 1
31 "5296282" 1
32 "5296283" 1
33 "5296284" 1
34 "5296285" 1
35 "5296286" 1
36 "5296287" 1
37 "5296288" 1
38 "5296290" 1
39 "5296291" 1
40 "5296292" 1
41 "5296293" 1
42 "5296294" 1
43 "5296295" 1
44 "5296296" 1
45 "5296298" 1
46 "5296299" 1
47 "5296300" 1
48 "5296301" 1
49 "5296302" 1
50 "5296303" 1
51 "5296304" 1
mixed_case_recommended_field WARNING 32350

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 32350 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "LAGOON DR + IOLANA PL" 2
"stops.txt" "stop_name" "LAGOON DR + KAPALULU PL" 3
"stops.txt" "stop_name" "LAGOON DR + MOKUEA PL" 4
"stops.txt" "stop_name" "LAGOON DR + KEEHI PL" 5
"stops.txt" "stop_name" "LAGOON DR + IAKO PL" 6
"stops.txt" "stop_name" "PALEKONA ST + LAGOON DR" 7
"stops.txt" "stop_name" "PAKI AVE + PONI MOI RD" 8
"stops.txt" "stop_name" "PAKI AVE + DIAMOND HEAD TENNIS CTR" 9
"stops.txt" "stop_name" "PAKI AVE + NOELA ST" 10
"stops.txt" "stop_name" "PAKI AVE + PAKI PLAYGROUND" 11
"stops.txt" "stop_name" "PAKI AVE + MONSARRAT AVE" 12
"stops.txt" "stop_name" "PAKI AVE + KAPAHULU AVE" 13
"stops.txt" "stop_name" "KAPAHULU AVE + ALA WAI BL" 14
"stops.txt" "stop_name" "KAPAHULU AVE + KUHIO AVE" 15
"stops.txt" "stop_name" "KUHIO AVE + PAOAKALANI AVE" 16
"stops.txt" "stop_name" "KUHIO AVE + LILIUOKALANI AVE" 17
"stops.txt" "stop_name" "KUHIO AVE + KAIULANI AVE" 18
"stops.txt" "stop_name" "KUHIO AVE + WALINA ST" 19
"stops.txt" "stop_name" "KUHIO AVE + SEASIDE AVE" 20
"stops.txt" "stop_name" "KUHIO AVE + LEWERS ST" 21
"stops.txt" "stop_name" "KUHIO AVE + LAUNIU ST" 22
"stops.txt" "stop_name" "KUHIO AVE + NAMAHANA ST" 23
"stops.txt" "stop_name" "KALAKAUA AVE + PAU ST" 24
"stops.txt" "stop_name" "KALAKAUA AVE + MCCULLY ST" 25
"stops.txt" "stop_name" "KALAKAUA AVE + KAPIOLANI BL" 26
"stops.txt" "stop_name" "KALAKAUA AVE + KAPIOLANI BL" 27
"stops.txt" "stop_name" "KALAKAUA AVE + OPP MAKALOA ST" 28
"stops.txt" "stop_name" "KALAKAUA AVE + PHILIP ST" 29
"stops.txt" "stop_name" "KALAKAUA AVE + S KING ST" 30
"stops.txt" "stop_name" "S BERETANIA ST + OPP KALAKAUA AVE" 31
"stops.txt" "stop_name" "S BERETANIA ST + KEEAUMOKU ST" 32
"stops.txt" "stop_name" "S BERETANIA ST + PIIKOI ST" 33
"stops.txt" "stop_name" "S BERETANIA ST + PENSACOLA ST" 34
"stops.txt" "stop_name" "S BERETANIA ST + WARD AVE" 35
"stops.txt" "stop_name" "S BERETANIA ST + ALAPAI ST" 36
"stops.txt" "stop_name" "S BERETANIA ST + PUNCHBOWL ST" 37
"stops.txt" "stop_name" "S HOTEL ST + ALAKEA ST" 38
"stops.txt" "stop_name" "S HOTEL ST + BISHOP ST" 39
"stops.txt" "stop_name" "S HOTEL ST + BETHEL ST" 40
"stops.txt" "stop_name" "N HOTEL ST + KEKAULIKE ST" 41
"stops.txt" "stop_name" "N KING ST + N BERETANIA ST" 42
"stops.txt" "stop_name" "LILIHA ST + N KING ST" 43
"stops.txt" "stop_name" "LILIHA ST + VINEYARD BL" 44
"stops.txt" "stop_name" "LILIHA ST + KAULUWELA PL" 45
"stops.txt" "stop_name" "LILIHA ST + SCHOOL ST" 46
"stops.txt" "stop_name" "LILIHA ST + 1657" 47
"stops.txt" "stop_name" "LILIHA ST + KUAKINI ST" 48
"stops.txt" "stop_name" "LILIHA ST + ELENA ST" 49
"stops.txt" "stop_name" "LILIHA ST + BATES ST" 50
"stops.txt" "stop_name" "LILIHA ST + JUDD ST" 51
service_has_no_active_day_of_the_week WARNING 68

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

Only the first 50 of 68 affected records are displayed below.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
3 "27559"
5 "27561"
7 "27563"
9 "27565"
11 "27567"
12 "27570"
13 "27573"
14 "27574"
16 "27580"
18 "27582"
19 "27583"
22 "27586"
23 "27589"
24 "27592"
25 "27593"
26 "27598"
27 "27601"
28 "27602"
29 "27603"
30 "27604"
33 "27611"
34 "27612"
35 "27613"
36 "27614"
43 "27624"
45 "27626"
47 "27628"
49 "27630"
54 "27640"
56 "27645"
59 "27648"
60 "27649"
70 "27671"
71 "27672"
76 "27679"
77 "27680"
78 "27681"
79 "27682"
80 "27683"
81 "27684"
82 "27685"
83 "27686"
84 "27687"
85 "27688"
88 "27557"
114 "27622"
115 "27632"
116 "27633"
117 "27635"
118 "27636"
stop_without_stop_time WARNING 3

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
3789 "4851" "KALEWA ST TERMINUS"
3817 "32003" "KALIHI FACILITY GARAGE"
3818 "32004" "PEARL CITY FACILITY GARAGE"
big_gap_in_service INFO 2

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"27570" "2026-04-30" "2026-05-29" 28
"27622" "2026-06-11" "2026-08-21" 70
service_window_outside_feed_period INFO 40

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"27588" "2026-04-22" "2026-05-27" 28 0
"27581" "2026-04-20" "2026-05-28" 30 0
"27587" "2026-04-20" "2026-05-28" 30 0
"27584" "2026-04-20" "2026-05-28" 30 0
"27585" "2026-04-20" "2026-05-28" 30 0
"27599" "2026-04-20" "2026-05-22" 30 0
"27594" "2026-04-20" "2026-05-27" 30 0
"27591" "2026-04-21" "2026-05-28" 29 0
"27597" "2026-04-21" "2026-05-28" 29 0
"27595" "2026-04-20" "2026-05-27" 30 0
"27596" "2026-04-21" "2026-05-28" 29 0
"27590" "2026-04-20" "2026-05-27" 30 0
"27609" "2026-04-22" "2026-05-27" 28 0
"27607" "2026-04-20" "2026-05-28" 30 0
"27608" "2026-04-20" "2026-05-28" 30 0
"27568" "2026-04-20" "2026-05-18" 30 0
"27569" "2026-04-21" "2026-05-28" 29 0
"27566" "2026-04-20" "2026-05-28" 30 0
"27600" "2026-04-21" "2026-05-28" 29 0
"27605" "2026-04-20" "2026-05-28" 30 0
"27606" "2026-04-20" "2026-05-28" 30 0
"27560" "2026-04-20" "2026-05-29" 30 0
"27564" "2026-04-20" "2026-05-28" 30 0
"27562" "2026-04-20" "2026-05-28" 30 0
"27618" "2026-04-20" "2026-05-28" 30 0
"27579" "2026-04-22" "2026-05-27" 28 0
"27577" "2026-04-23" "2026-05-28" 27 0
"27610" "2026-04-22" "2026-05-27" 28 0
"27578" "2026-04-21" "2026-05-26" 29 0
"27616" "2026-04-20" "2026-05-28" 30 0
"27617" "2026-04-20" "2026-05-28" 30 0
"27615" "2026-04-20" "2026-05-28" 30 0
"27571" "2026-04-20" "2026-05-28" 30 0
"27572" "2026-04-22" "2026-05-27" 28 0
"27570" "2026-04-24" "2026-05-29" 26 0
"27575" "2026-04-20" "2026-05-22" 30 0
"27576" "2026-04-20" "2026-05-28" 30 0
"27555" "2026-04-20" "2026-05-29" 30 0
"27556" "2026-04-19" "2026-05-25" 31 0
"27554" "2026-04-25" "2026-05-30" 25 0
trip_with_shape_dist_traveled_but_no_shape_distances INFO 37655

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 37655 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
30372 "5328781" "40455" 22276
867 "5302151" "650344" 35336
30373 "5328782" "40455" 22277
3016 "5302150" "540309" 26653
3018 "5302153" "C0369" 24859
30374 "5328783" "40455" 907016
30375 "5328784" "40455" 22278
3017 "5302152" "530163" 30321
23777 "5326122" "5010010" 17622
25346 "5326121" "5040021" 17621
25345 "5326120" "4140077" 16817
28128 "5328780" "30448" 9088
37046 "5314137" "W0009" 12034
34464 "5314138" "3070012" 28095
15379 "5316799" "4330096" 28333
36543 "5314139" "1510007" 28945
17033 "5316796" "130419" 14842
36541 "5314133" "PH80033" 35002
34997 "5314134" "SKY0013" 7139
17979 "5316795" "4150057" 29871
17034 "5316798" "230307" 26251
36542 "5314135" "1510007" 28944
37638 "5314136" "SKY0012" 4561
15378 "5316797" "4330096" 28332
17978 "5316792" "4150057" 29870
37391 "5314130" "3070017" 28093
15375 "5316791" "4330096" 28331
15377 "5316794" "4030059" 16306
36540 "5314131" "1510007" 28943
15376 "5316793" "4140078" 21019
37392 "5314132" "3070017" 28094
15374 "5316790" "230308" 13361
30377 "5328789" "40455" 22280
25348 "5326126" "230307" 26315
4928 "5302159" "650369" 30795
23779 "5326125" "130426" 15923
4927 "5302158" "650369" 30794
25347 "5326124" "4140077" 16818
23778 "5326123" "5040028" 32100
28129 "5328785" "40421" 23423
3019 "5302155" "C0371" 24860
868 "5302154" "430114" 9995
25349 "5326129" "5040021" 17624
28130 "5328786" "40421" 23424
870 "5302157" "430114" 9996
23781 "5326128" "5010010" 17623
30376 "5328787" "40455" 22279
28131 "5328788" "30448" 9089
869 "5302156" "440208" 9253
23780 "5326127" "5030048" 33101
unknown_column INFO 11

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"stop_times.txt" "stop_code" 11
"stops.txt" "stop_serial_number" 11
"trips.txt" "trip_headsign_short" 8
"trips.txt" "apc_trip_id" 9
"trips.txt" "display_code" 10
"trips.txt" "trip_serial_number" 11
"trips.txt" "block" 12
"calendar.txt" "events_and_status" 11
"calendar.txt" "operating_days" 12
"calendar.txt" "duty" 13
"feed_info.txt" "feed_description" 7
unsorted_stop_times INFO 37655

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 37655 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"5328781" 22276 1396556
"5302151" 35336 1414106
"5328782" 22277 1396557
"5302150" 26653 1409856
"5302153" 24859 1399848
"5328783" 319790 907016
"5328784" 22278 1396558
"5302152" 30321 1405730
"5326122" 17622 1409404
"5326121" 17621 1406615
"5326120" 16817 1391358
"5328780" 9088 1383278
"5314137" 12034 1385485
"5314138" 28095 1401859
"5316799" 28333 1403129
"5314139" 28945 1403739
"5316796" 14842 1389964
"5314133" 35002 1413615
"5314134" 7139 1381456
"5316795" 29871 1404118
"5316798" 26251 1410168
"5314135" 28944 1403738
"5314136" 4561 1380596
"5316797" 28332 1403128
"5316792" 29870 1404117
"5314130" 28093 1401857
"5316791" 28331 1403127
"5316794" 16306 1408660
"5314131" 28943 1403737
"5316793" 21019 1395261
"5314132" 28094 1401858
"5316790" 13361 1412785
"5328789" 22280 1396560
"5326126" 26315 1410207
"5302159" 30795 1406364
"5326125" 15923 1389615
"5302158" 30794 1406363
"5326124" 16818 1391359
"5326123" 32100 1407821
"5328785" 23423 1398458
"5302155" 24860 1399849
"5302154" 9995 1392667
"5326129" 17624 1406616
"5328786" 23424 1398459
"5302157" 9996 1392668
"5326128" 17623 1409405
"5328787" 22279 1396559
"5328788" 9089 1383279
"5302156" 9253 1405245
"5326127" 33101 1410082