-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.geo_census_tracts.census_tracts_north_dakota`
(
  state_fips_code STRING OPTIONS(description="Two digit FIPS code that uniquely identifies each state. State names and their corresponding FIPS codes are available as a BigQuery Public Dataset: bigquery-public-data.census_fips_codes.states_2016"),
  county_fips_code STRING OPTIONS(description="Four-digit county FIPS code.   County names and their corresponding FIPS codes can be found in BigQuery: bigquery-public-data.census_fips_codes.counties_2016"),
  tract_ce STRING OPTIONS(description="Current Census tract code"),
  geo_id STRING OPTIONS(description="Census tract identifier; a concatenation of Current state FIPS code, county FIPS code, and census tract code"),
  tract_name STRING OPTIONS(description="Current census tract name, this is the census tract code converted to an integer or integer plus 2- character decimal if the last two characters of the code are not both zeros."),
  lsad_name STRING OPTIONS(description="Current translated legal/statistical area description and the census tract name"),
  functional_status STRING OPTIONS(description="Current functional status of the Census tract"),
  area_land_meters INT64 OPTIONS(description="Current land area, in square meters"),
  area_water_meters INT64 OPTIONS(description="Current water area, in square meters"),
  internal_point_lat STRING OPTIONS(description="Latitude of the state's internal point, which is the point at or closest to the state's geographic center"),
  internal_point_lon STRING OPTIONS(description="Longitude of the state's internal point, which is the point at or closest to the state's geographic center"),
  internal_point_geo GEOGRAPHY OPTIONS(description="Geographic representation of the state's internal point, which is the point at or closest to the tract's geographic center"),
  tract_geom GEOGRAPHY OPTIONS(description="Geographical representation of the polygon that defines the perimeter of each Census tract. This column should be used as the GEO column for visualization in BigQuery Geo Viz")
);

INSERT INTO `bigquery-public-data.geo_census_tracts.census_tracts_north_dakota` (state_fips_code, county_fips_code, tract_ce, geo_id, tract_name, lsad_name, functional_status, area_land_meters, area_water_meters, internal_point_lat, internal_point_lon, internal_point_geo, tract_geom) VALUES ('38', '017', '000100', '38017000100', '1', 'Census Tract 1', 'S', 5413299, 0, '+46.9136081', '-096.7713733', 'POINT(-96.7713733 46.9136081)', 'POLYGON((-96.783166 46.890341, -96.782421 46.890342, -96.781638 46.89034, -96.780907 46.890337, -96.780145 46.890343, -96.779389 46.890349, -96.778609 46.890352, -96.777859 46.890355, -96.777166 46.890346, -96.775723 46.890296, -96.774758 46.890263, -96.773862 46.890319, -96.772057 46.890578, -96.770739 46.891064, -96.770022 46.891388, -96.769558 46.891963, -96.769444 46.89259, -96.769745 46.893214, -96.770425 46.893615, -96.771523 46.893904, -96.773727 46.893897, -96.77571 46.894162, -96.776404 46.894763, -96.776633 46.895872, -96.776381 46.89696, 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