Water water-na · 2026q4r1

community · water · in the live catalog · history

Experimental / Amateur-Built use only. Not certified. This data is provided as-is with no warranty and any use of the data is at your own risk.

Checks

pass 13 warn 1 fail 0 not run 1

warn OSM-006 Line length, or summed stored polygon area, per state or province against the previous edition: largest drop: water_polygons US-AR -30.6% (2,318 -> 1,608 km2 summed polygon area); 2 state-table pairs down more than 10% — Not a loss. US-AR: Bull Shoals Lake (carried by both the AR and MO extracts) bins to US-MO now that its OSM outline reaches 36.694 N; MO grows +30.4%. US-SD: Lake Oahe's stored area falls from 2,043.7 to 1,345.9 km2 per copy (NE row 2,414.5 to 1,921.7) because the size-scaled cap (pyEfis #384) keeps 941 vertices where r6's 363 cut across its side arms; Bull Shoals likewise falls from 353.5 to 245.3 km2. OSM-006 sums stored polygon area, so a more faithful outline reads as a drop.
not run OSM-005 Coverage map image: Rendered by the report site (TV5).

Show: pass warn fail not run

	Check	What it checks	Measured	Expected	Cannot catch
warn	OSM-006	Line length, or summed stored polygon area, per state or province against the previous edition	largest drop: water_polygons US-AR -30.6% (2,318 -> 1,608 km2 summed polygon area); 2 state-table pairs down more than 10%	Provisional threshold: no state or province with at least 100 km of line or 10 km2 of summed polygon area goes to zero (fail); none drops more than 10% (warn)	Geometry that moved without changing length or area, simplification changes that keep the totals, and losses inside a state. For polygons the figure is the sum of the stored polygon areas, not the area of water: water packs store overlapping polygons, which are counted each time, so a lost polygon that another one overlaps shows as a smaller drop or none.	Build note: Not a loss. US-AR: Bull Shoals Lake (carried by both the AR and MO extracts) bins to US-MO now that its OSM outline reaches 36.694 N; MO grows +30.4%. US-SD: Lake Oahe's stored area falls from 2,043.7 to 1,345.9 km2 per copy (NE row 2,414.5 to 1,921.7) because the size-scaled cap (pyEfis #384) keeps 941 vertices where r6's 363 cut across its side arms; Bull Shoals likewise falls from 353.5 to 245.3 km2. OSM-006 sums stored polygon area, so a more faithful outline reads as a drop. since TV7
not run	OSM-005 non-blocking	Coverage map image	—	an image a person can look at	Anything; it is for a person to read, not a test.	Note: Rendered by the report site (TV5).
pass	PACK-001	pack_meta is readable and names a known kind	id=water-na kind=water cycle=2026q4r1 schema_version=1	pack_meta present; kind is one the device knows	A pack_meta that is well formed but names the wrong id or cycle for the bytes inside.
pass	PACK-002	Attribution and license are recorded in pack_meta	attribution and license present	both non-empty	A license tag or attribution that is present but wrong for the data.
pass	PACK-003	Origin label is federal, community or user-supplied	community (defaulted by kind water, not read from the pack)	one of federal / community / user-supplied	Whether the label matches where the data really came from. For a kind with a default label (ORIGIN_BY_KIND in packtools/report.py) the label comes from that table, not from the builder or the pack, so the check is tautological and always passes; measured says which. With --origin it shows only that the label given is one of the three.	since AER-699
pass	PACK-004 non-blocking	Upstream sources are recorded	66 source(s), each with edition and sha256	at least one source, each with a non-empty edition and a 64-hex sha256	A recorded source that is not the one the build actually used, and an edition or sha256 that is well formed but wrong.
pass	ACC-001	Device acceptance: pyEfis's own reader opens the pack and answers a fixed query set	opened; 3/3 queries returned data	the reader opens the pack and every query returns data	Wrong values the reader accepts. It shows the device can open and query these bytes, not that what it returns is right. The queries cover fixed points only: US kinds, 5 CONUS metros (Denver, Seattle, Atlanta, Los Angeles and Chicago); airports (Canada), Toronto and Vancouver; water, Puget Sound, Lake Michigan and Lake Ontario; navaids, idents DEN, SEA, LAX; procedures, airways V23, J80, V1; terrain, one native tile or the coarsest mosaic level. So it cannot catch a missing Alaska, Hawaii or Puerto Rico, or any state or province that holds none of those points.
pass	SQL-001	SQLite structure is sound (PRAGMA quick_check)	ok	ok	Wrong data in a structurally sound file, and an index whose contents do not match its table: quick_check does not verify index contents, which is SQLite's documented difference from integrity_check. IDX-001 covers the R-trees.
pass	ROW-001	No data table is empty	0 empty tables; empty by declaration: waterway_lines	0 empty tables, apart from those declared empty by design for the kind (water: waterway_lines)	A table that has rows but is missing most of them.
pass	ROW-002 non-blocking	Row counts against the previous edition	largest change: water_polygons +6.4% (1,298,726 -> 1,381,898)	Provisional threshold: no table moves more than 10%; a larger move needs a build note	A change that keeps counts steady (rows replaced by wrong rows), any defect already present in the previous edition, and a loss under the threshold (for obstacles at 10%, about 65,000 rows).
pass	ROW-003	No table of the previous edition has disappeared	0 of 2 tables gone	every table in the previous edition is still present, unless schema_version changed	A table dropped together with a schema_version bump that should not have been; the bump is taken as the declaration that the drop is intended.	since AER-4102
pass	IDX-001	Every spatial index (R-tree) indexes every row of its table	water_rtree 1,381,898 = water_polygons 1,381,898, rtreecheck ok; waterway_rtree 0 = waterway_lines 0, rtreecheck ok	each declared R-tree present, its row count equal to its base table's, and rtreecheck() ok; no undeclared R-tree	An index that holds the right number of rows with wrong boxes or ids. rtreecheck tests the tree's internal consistency, not that each box encloses its feature.	since AER-4102
pass	OSM-001	Feature counts per region against the previous edition	no region dropped; smallest growth: water_polygons us-east +0.3% (124,121 -> 124,480)	Provisional threshold: no region with 100+ features goes to zero (fail); no region drops more than 10% (warn)	A loss smaller than a region (one state inside a multi-state region), and features that are present but wrong.	since makerplane-data#17
pass	OSM-002	Feature counts per state or province against the previous edition	largest drop: water_polygons CA-SK -0.7% (19,018 -> 18,889); 0 states down more than 10%, 0 at zero	Provisional threshold: no state or province with 100+ features goes to zero (fail); none drops more than 10% (warn)	Losses inside a state, a feature that moved across a border (binned by the centre of its bounding box against simplified Natural Earth boundaries), and features that are present but wrong.	since TV7
pass	OSM-004	Every feature's bounding box is well formed	0	0 bad boxes	A well-formed box around wrong geometry.

Check

What it checks

Measured

Expected

Cannot catch

warn

OSM-006

Line length, or summed stored polygon area, per state or province against the previous edition

largest drop: water_polygons US-AR -30.6% (2,318 -> 1,608 km2 summed polygon area); 2 state-table pairs down more than 10%

Provisional threshold: no state or province with at least 100 km of line or 10 km2 of summed polygon area goes to zero (fail); none drops more than 10% (warn)

Geometry that moved without changing length or area, simplification changes that keep the totals, and losses inside a state. For polygons the figure is the sum of the stored polygon areas, not the area of water: water packs store overlapping polygons, which are counted each time, so a lost polygon that another one overlaps shows as a smaller drop or none.

Build note: Not a loss. US-AR: Bull Shoals Lake (carried by both the AR and MO extracts) bins to US-MO now that its OSM outline reaches 36.694 N; MO grows +30.4%. US-SD: Lake Oahe's stored area falls from 2,043.7 to 1,345.9 km2 per copy (NE row 2,414.5 to 1,921.7) because the size-scaled cap (pyEfis #384) keeps 941 vertices where r6's 363 cut across its side arms; Bull Shoals likewise falls from 353.5 to 245.3 km2. OSM-006 sums stored polygon area, so a more faithful outline reads as a drop.
since TV7

not run

OSM-005
non-blocking

Coverage map image

—

an image a person can look at

Anything; it is for a person to read, not a test.

Note: Rendered by the report site (TV5).

pass

PACK-001

pack_meta is readable and names a known kind

id=water-na kind=water cycle=2026q4r1 schema_version=1

pack_meta present; kind is one the device knows

A pack_meta that is well formed but names the wrong id or cycle for the bytes inside.

pass

PACK-002

Attribution and license are recorded in pack_meta

attribution and license present

both non-empty

A license tag or attribution that is present but wrong for the data.

pass

PACK-003

Origin label is federal, community or user-supplied

community (defaulted by kind water, not read from the pack)

one of federal / community / user-supplied

Whether the label matches where the data really came from. For a kind with a default label (ORIGIN_BY_KIND in packtools/report.py) the label comes from that table, not from the builder or the pack, so the check is tautological and always passes; measured says which. With --origin it shows only that the label given is one of the three.

since AER-699

pass

PACK-004
non-blocking

Upstream sources are recorded

66 source(s), each with edition and sha256

at least one source, each with a non-empty edition and a 64-hex sha256

A recorded source that is not the one the build actually used, and an edition or sha256 that is well formed but wrong.

pass

ACC-001

Device acceptance: pyEfis's own reader opens the pack and answers a fixed query set

opened; 3/3 queries returned data

the reader opens the pack and every query returns data

Wrong values the reader accepts. It shows the device can open and query these bytes, not that what it returns is right. The queries cover fixed points only: US kinds, 5 CONUS metros (Denver, Seattle, Atlanta, Los Angeles and Chicago); airports (Canada), Toronto and Vancouver; water, Puget Sound, Lake Michigan and Lake Ontario; navaids, idents DEN, SEA, LAX; procedures, airways V23, J80, V1; terrain, one native tile or the coarsest mosaic level. So it cannot catch a missing Alaska, Hawaii or Puerto Rico, or any state or province that holds none of those points.

pass

SQL-001

SQLite structure is sound (PRAGMA quick_check)

Wrong data in a structurally sound file, and an index whose contents do not match its table: quick_check does not verify index contents, which is SQLite's documented difference from integrity_check. IDX-001 covers the R-trees.

pass

ROW-001

No data table is empty

0 empty tables; empty by declaration: waterway_lines

0 empty tables, apart from those declared empty by design for the kind (water: waterway_lines)

A table that has rows but is missing most of them.

pass

ROW-002
non-blocking

Row counts against the previous edition

largest change: water_polygons +6.4% (1,298,726 -> 1,381,898)

Provisional threshold: no table moves more than 10%; a larger move needs a build note

A change that keeps counts steady (rows replaced by wrong rows), any defect already present in the previous edition, and a loss under the threshold (for obstacles at 10%, about 65,000 rows).

pass

ROW-003

No table of the previous edition has disappeared

0 of 2 tables gone

every table in the previous edition is still present, unless schema_version changed

A table dropped together with a schema_version bump that should not have been; the bump is taken as the declaration that the drop is intended.

since AER-4102

pass

IDX-001

Every spatial index (R-tree) indexes every row of its table

water_rtree 1,381,898 = water_polygons 1,381,898, rtreecheck ok; waterway_rtree 0 = waterway_lines 0, rtreecheck ok

each declared R-tree present, its row count equal to its base table's, and rtreecheck() ok; no undeclared R-tree

An index that holds the right number of rows with wrong boxes or ids. rtreecheck tests the tree's internal consistency, not that each box encloses its feature.

since AER-4102

pass

OSM-001

Feature counts per region against the previous edition

no region dropped; smallest growth: water_polygons us-east +0.3% (124,121 -> 124,480)

Provisional threshold: no region with 100+ features goes to zero (fail); no region drops more than 10% (warn)

A loss smaller than a region (one state inside a multi-state region), and features that are present but wrong.

since makerplane-data#17

pass

OSM-002

Feature counts per state or province against the previous edition

largest drop: water_polygons CA-SK -0.7% (19,018 -> 18,889); 0 states down more than 10%, 0 at zero

Provisional threshold: no state or province with 100+ features goes to zero (fail); none drops more than 10% (warn)

Losses inside a state, a feature that moved across a border (binned by the centre of its bounding box against simplified Natural Earth boundaries), and features that are present but wrong.

since TV7

pass

OSM-004

Every feature's bounding box is well formed

0 bad boxes

A well-formed box around wrong geometry.

Black-box check (Auspex)

Not run for this edition.

Row counts

Rows per table, against 2026q2r6.

Table	Rows	Previous	Change
water_polygons	1,381,898	1,298,726	+83,172 (+6.4 %)
waterway_lines	0	0	no change

Identity

Pack sha256	9740093fcbd1e253f85fe207b303035547c2202098efef3d3c6a687179982970
Size	3,278,286,848 bytes
Content schema	1
Record	build · raw JSON sha256 9909ff8aac2b82af — matches the report_sha256 in the signed catalog
Built	2026-11-02T15:43:00Z · local · run
From	makerplane-data d1cf80098d0a, pyEfis d87cd5c89736
Compared against	2026q2r6

Sources

Source	Edition	Retrieved	sha256
OpenStreetMap (Geofabrik) alabama	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	421b0bb662e8733c
OpenStreetMap (Geofabrik) arizona	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	8c70c8886e8eea64
OpenStreetMap (Geofabrik) arkansas	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	1e3b771c06313a19
OpenStreetMap (Geofabrik) california/norcal	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	29952b48cf82e41c
OpenStreetMap (Geofabrik) california/socal	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	35813a0929ae2307
OpenStreetMap (Geofabrik) colorado	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	b5dd09d51391312e
OpenStreetMap (Geofabrik) connecticut	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	71cb996120cc42d3
OpenStreetMap (Geofabrik) delaware	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	a441e356d5ff0776
OpenStreetMap (Geofabrik) district-of-columbia	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	2c161c20a8a5dca7
OpenStreetMap (Geofabrik) florida	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	e0b909a48a0456f1
OpenStreetMap (Geofabrik) georgia	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	a59c71cefa54fd4c
OpenStreetMap (Geofabrik) idaho	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	d720ede61f6a6aa1
OpenStreetMap (Geofabrik) illinois	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	300978622f4b30e7
OpenStreetMap (Geofabrik) indiana	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	0e41310755024078
OpenStreetMap (Geofabrik) iowa	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	de278e61dfac089c
OpenStreetMap (Geofabrik) kansas	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	ffb327b2815f3425
OpenStreetMap (Geofabrik) kentucky	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	1d09e4406dc66a0e
OpenStreetMap (Geofabrik) louisiana	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	03832a2f034dacda
OpenStreetMap (Geofabrik) maine	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	db4c510f0ba5ac45
OpenStreetMap (Geofabrik) maryland	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	193683381fbb1d0c
OpenStreetMap (Geofabrik) massachusetts	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	c2f89a19032ceb0b
OpenStreetMap (Geofabrik) michigan	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	5e77cfc9ff84dfd6
OpenStreetMap (Geofabrik) minnesota	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	2cc639bbea7bef8c
OpenStreetMap (Geofabrik) mississippi	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	a229d830bcc05721
OpenStreetMap (Geofabrik) missouri	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	ed6b3b2e7b70b71b
OpenStreetMap (Geofabrik) montana	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	3bf30dd79449175f
OpenStreetMap (Geofabrik) nebraska	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	cbcf15cd7fd82366
OpenStreetMap (Geofabrik) nevada	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	ca153f5adfcc764d
OpenStreetMap (Geofabrik) new-hampshire	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	a6be837b964fedf3
OpenStreetMap (Geofabrik) new-jersey	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	8a0fafb6a44101ce
OpenStreetMap (Geofabrik) new-mexico	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	8980a1a32d24d97b
OpenStreetMap (Geofabrik) new-york	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	bf10df15cb365824
OpenStreetMap (Geofabrik) north-carolina	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	a04de566573b9ddd
OpenStreetMap (Geofabrik) north-dakota	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	9ca1341f3d5602c8
OpenStreetMap (Geofabrik) ohio	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	c376801d8a60270c
OpenStreetMap (Geofabrik) oklahoma	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	c23baf3c0bfda2a7
OpenStreetMap (Geofabrik) oregon	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	2a7b0b123a11a6b5
OpenStreetMap (Geofabrik) pennsylvania	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	9f5050e05454a16d
OpenStreetMap (Geofabrik) rhode-island	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	393aa9ba54026dcf
OpenStreetMap (Geofabrik) south-carolina	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	ecec3a09617b9061
OpenStreetMap (Geofabrik) south-dakota	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	21017eb484ee75bc
OpenStreetMap (Geofabrik) tennessee	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	e3d575991a5ab441
OpenStreetMap (Geofabrik) texas	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	77f2e02b7d18433c
OpenStreetMap (Geofabrik) utah	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	6858a124071ac392
OpenStreetMap (Geofabrik) vermont	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	930a6e361fc7cc39
OpenStreetMap (Geofabrik) virginia	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	810b6d4f5a5e7cef
OpenStreetMap (Geofabrik) washington	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	0e6a6a05120e3d0e
OpenStreetMap (Geofabrik) west-virginia	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	8ffe744d1488722b
OpenStreetMap (Geofabrik) wisconsin	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	9292d487abddb5e2
OpenStreetMap (Geofabrik) wyoming	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	40faf0f711695e80
OpenStreetMap (Geofabrik) alaska	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	a93b2b0ca1d88585
OpenStreetMap (Geofabrik) canada/alberta	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	114d7da6225255c9
OpenStreetMap (Geofabrik) canada/british-columbia pbf (shp fallback, pyEfis #104)	2026-11-01T21:21:36Z	2026-11-02T14:00:00Z	d999f3b1dbb80826
OpenStreetMap (Geofabrik) canada/manitoba	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	1bfd81b76bdb82cf
OpenStreetMap (Geofabrik) canada/new-brunswick	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	57d64b159eea7807
OpenStreetMap (Geofabrik) canada/newfoundland-and-labrador	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	ed684ec550fea74c
OpenStreetMap (Geofabrik) canada/northwest-territories	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	2e458793ef9b813f
OpenStreetMap (Geofabrik) canada/nova-scotia	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	56cb5f4aa661e024
OpenStreetMap (Geofabrik) canada/nunavut pbf (shp fallback, pyEfis #104)	2026-11-01T21:21:36Z	2026-11-02T14:00:00Z	230a0b0db3fbfb3b
OpenStreetMap (Geofabrik) canada/ontario	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	f65b2d6bcdd7e375
OpenStreetMap (Geofabrik) canada/prince-edward-island	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	4f9d934889ebaf7a
OpenStreetMap (Geofabrik) canada/quebec	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	4a41d72d393f7f9b
OpenStreetMap (Geofabrik) canada/saskatchewan	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	efa28d4c01757042
OpenStreetMap (Geofabrik) canada/yukon	261101 (OSM data 2026-11-01)	2026-11-02T13:00:00Z	4b389e8f73ab8098
OpenStreetMap water-polygons-split-4326 (osmdata.openstreetmap.de)	Last-Modified 2026-10-31T03:47:08Z	2026-11-02T12:42:00Z	79edefe3a08d59fa
Natural Earth ne_10m_lakes	5.0.0	2026-11-02T12:41:00Z	0803a06f9c3cb467

Source

Edition

Retrieved

sha256

OpenStreetMap (Geofabrik) alabama

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

421b0bb662e8733c

OpenStreetMap (Geofabrik) arizona

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

8c70c8886e8eea64

OpenStreetMap (Geofabrik) arkansas

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

1e3b771c06313a19

OpenStreetMap (Geofabrik) california/norcal

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

29952b48cf82e41c

OpenStreetMap (Geofabrik) california/socal

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

35813a0929ae2307

OpenStreetMap (Geofabrik) colorado

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

b5dd09d51391312e

OpenStreetMap (Geofabrik) connecticut

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

71cb996120cc42d3

OpenStreetMap (Geofabrik) delaware

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

a441e356d5ff0776

OpenStreetMap (Geofabrik) district-of-columbia

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

2c161c20a8a5dca7

OpenStreetMap (Geofabrik) florida

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

e0b909a48a0456f1

OpenStreetMap (Geofabrik) georgia

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

a59c71cefa54fd4c

OpenStreetMap (Geofabrik) idaho

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

d720ede61f6a6aa1

OpenStreetMap (Geofabrik) illinois

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

300978622f4b30e7

OpenStreetMap (Geofabrik) indiana

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

0e41310755024078

OpenStreetMap (Geofabrik) iowa

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

de278e61dfac089c

OpenStreetMap (Geofabrik) kansas

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

ffb327b2815f3425

OpenStreetMap (Geofabrik) kentucky

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

1d09e4406dc66a0e

OpenStreetMap (Geofabrik) louisiana

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

03832a2f034dacda

OpenStreetMap (Geofabrik) maine

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

db4c510f0ba5ac45

OpenStreetMap (Geofabrik) maryland

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

193683381fbb1d0c

OpenStreetMap (Geofabrik) massachusetts

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

c2f89a19032ceb0b

OpenStreetMap (Geofabrik) michigan

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

5e77cfc9ff84dfd6

OpenStreetMap (Geofabrik) minnesota

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

2cc639bbea7bef8c

OpenStreetMap (Geofabrik) mississippi

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

a229d830bcc05721

OpenStreetMap (Geofabrik) missouri

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

ed6b3b2e7b70b71b

OpenStreetMap (Geofabrik) montana

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

3bf30dd79449175f

OpenStreetMap (Geofabrik) nebraska

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

cbcf15cd7fd82366

OpenStreetMap (Geofabrik) nevada

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

ca153f5adfcc764d

OpenStreetMap (Geofabrik) new-hampshire

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

a6be837b964fedf3

OpenStreetMap (Geofabrik) new-jersey

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

8a0fafb6a44101ce

OpenStreetMap (Geofabrik) new-mexico

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

8980a1a32d24d97b

OpenStreetMap (Geofabrik) new-york

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

bf10df15cb365824

OpenStreetMap (Geofabrik) north-carolina

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

a04de566573b9ddd

OpenStreetMap (Geofabrik) north-dakota

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

9ca1341f3d5602c8

OpenStreetMap (Geofabrik) ohio

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

c376801d8a60270c

OpenStreetMap (Geofabrik) oklahoma

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

c23baf3c0bfda2a7

OpenStreetMap (Geofabrik) oregon

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

2a7b0b123a11a6b5

OpenStreetMap (Geofabrik) pennsylvania

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

9f5050e05454a16d

OpenStreetMap (Geofabrik) rhode-island

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

393aa9ba54026dcf

OpenStreetMap (Geofabrik) south-carolina

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

ecec3a09617b9061

OpenStreetMap (Geofabrik) south-dakota

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

21017eb484ee75bc

OpenStreetMap (Geofabrik) tennessee

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

e3d575991a5ab441

OpenStreetMap (Geofabrik) texas

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

77f2e02b7d18433c

OpenStreetMap (Geofabrik) utah

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

6858a124071ac392

OpenStreetMap (Geofabrik) vermont

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

930a6e361fc7cc39

OpenStreetMap (Geofabrik) virginia

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

810b6d4f5a5e7cef

OpenStreetMap (Geofabrik) washington

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

0e6a6a05120e3d0e

OpenStreetMap (Geofabrik) west-virginia

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

8ffe744d1488722b

OpenStreetMap (Geofabrik) wisconsin

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

9292d487abddb5e2

OpenStreetMap (Geofabrik) wyoming

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

40faf0f711695e80

OpenStreetMap (Geofabrik) alaska

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

a93b2b0ca1d88585

OpenStreetMap (Geofabrik) canada/alberta

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

114d7da6225255c9

OpenStreetMap (Geofabrik) canada/british-columbia pbf (shp fallback, pyEfis #104)

2026-11-01T21:21:36Z

2026-11-02T14:00:00Z

d999f3b1dbb80826

OpenStreetMap (Geofabrik) canada/manitoba

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

1bfd81b76bdb82cf

OpenStreetMap (Geofabrik) canada/new-brunswick

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

57d64b159eea7807

OpenStreetMap (Geofabrik) canada/newfoundland-and-labrador

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

ed684ec550fea74c

OpenStreetMap (Geofabrik) canada/northwest-territories

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

2e458793ef9b813f

OpenStreetMap (Geofabrik) canada/nova-scotia

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

56cb5f4aa661e024

OpenStreetMap (Geofabrik) canada/nunavut pbf (shp fallback, pyEfis #104)

2026-11-01T21:21:36Z

2026-11-02T14:00:00Z

230a0b0db3fbfb3b

OpenStreetMap (Geofabrik) canada/ontario

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

f65b2d6bcdd7e375

OpenStreetMap (Geofabrik) canada/prince-edward-island

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

4f9d934889ebaf7a

OpenStreetMap (Geofabrik) canada/quebec

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

4a41d72d393f7f9b

OpenStreetMap (Geofabrik) canada/saskatchewan

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

efa28d4c01757042

OpenStreetMap (Geofabrik) canada/yukon

261101 (OSM data 2026-11-01)

2026-11-02T13:00:00Z

4b389e8f73ab8098

OpenStreetMap water-polygons-split-4326 (osmdata.openstreetmap.de)

Last-Modified 2026-10-31T03:47:08Z

2026-11-02T12:42:00Z

79edefe3a08d59fa

Natural Earth ne_10m_lakes

5.0.0

2026-11-02T12:41:00Z

0803a06f9c3cb467

Known issues

Issues found after this edition was built are not listed here yet. Until they are, see the makerplane-data issues.

What this report is and is not

These are the checks we ran on this pack, what each one measured, and what each one cannot catch. It is evidence, not a warranty and not a certification. No authority has reviewed or approved this data or these checks. Passing them does not mean the data is correct, complete or current. Results marked as coming from Auspex come from a proprietary AI test engine whose method is not published; each of its findings is stated so you can check it yourself. This data is for Experimental / Amateur-Built use. This data is provided as-is with no warranty and any use of the data is at your own risk. Verify against official publications.

Check it yourself

packtool report --check water-na-2026q4r1.pack

Re-runs every open check on the pack you downloaded and compares the result with this record. How to do it.