Boundary Atlas

Give a geography `id` (a congressional district, state, city 'us:place:...', county, town or ZIP 'us:zcta:...')
or a point (`lat`, `lon`; geocode an address first). For a city, county or ZIP that spans several districts, each
representative comes with `share` = share of that area's 2020 residents in the district; for an exact answer use a
point. Members listed are those serving now (119th Congress, until January 3, 2027); the districts are the 120th
Congress maps elected November 3, 2026. In states that redrew for 2026 (AL, CA, FL, LA, NC, OH, TN, TX, UT) a
representative's `note` says they were elected under the previous map. A district with no member is vacant.
State legislators (state_legislators=True, except for a whole state, where pass it explicitly) come from Open
States; members in states that redrew legislative maps for 2026 (MI, MN, MS) carry a similar note.
Mayors (local=True) come from Open States (larger cities, while their term runs) or, failing that, Wikidata
(one current head of government, in office since 2010; their `note` says to confirm on the city's website).
Sources: the @unitedstates congress-legislators dataset (CC0), Open States (public domain), Wikidata (CC0).
US only for now.

id: the geography to draw, e.g. 'us:county:34013'. children_level: draw everything at that level inside it
instead, e.g. every 'precinct' in a county or state, every 'county' in a state, every 'polling_division' in a
riding, or every 'precinct' overlapping a congressional district (any share; use related_geographies for shares).
detail: 'high' (~10 m), 'medium' (~50 m, default) or 'low' (~200 m). Neighbouring shapes from the same source
share identical edges at every detail level. clip_to_land: trim open water (ocean, bays, Great Lakes) using
the state/province shoreline outline (default true; inland lakes are not trimmed; shorelines are generalized
to ~1:500k, widened ~200 m so land isn't cut); false gives legal extents. include_districts: add each feature's
congressional / state senate / state house district holding the largest share of its population.
Feature properties: id, level, code, name, parent_id, region, population (2020 Census for precincts and towns,
latest estimate for counties and states), vintage and source_id (2020 Census VTDs have source_id
'us-census-vtd-2020'; current precincts don't), shape_source.

Small results come back inline as `geojson`. Larger ones are not returned inline (they'd flood the
conversation): the hosted service returns a short-lived `download_url` (fetch it with curl into your project);
a local server writes the file to its own export folder and returns `file` (copy it into your project). Page
big selections with offset/limit (max 5000 features).

levels: restrict to some levels (default: all except 'vtd_2020'). If a point is just outside every shape of a
level that its state/province has (a pier, a beach, a gap between precinct files), it is matched to the nearest
shape of that level in the same state/province within ~1 km and flagged approximate=true with distance_m.
not_found lists levels the state/province has data for but no shape here; no_data lists levels with no
boundaries there at all (e.g. Nebraska has no state house; Ontario has no provincial polling divisions here).

Districts: for a precinct, county, town, city (place) or ZIP, the congressional, state senate and state house
districts it falls in; for a district, the precincts, counties, towns, cities or ZIPs inside it (filter with
`level`, e.g. 'precinct'). A city ('us:place:1714000') also lists its counties. A ZIP ('us:zcta:07102') lists the
cities, counties, towns, precincts and districts it overlaps. Ask for `level='zcta'` on a city, county, town or
district to list the ZIP codes in it.
`weight` is the share of the smaller unit's 2020 population inside the other (for a ZIP, the share of the ZIP's
residents in each unit; 0 for parts with land but no residents). relation 'within' means wholly inside (1.0),
'overlaps' means split, 'approximate' means the unit was too small to contain any 2020 block's internal point and
was placed by the nearest block. Use min_weight to drop slivers. ZCTAs approximate USPS ZIP Codes.

country: 'US' or 'CA'. level: one of the levels from coverage_summary (e.g. 'county', 'precinct',
'congressional_district', 'federal_electoral_district'). region: USPS state or province code ('NJ', 'ON').