generated: '2026-08-02'
method: searched
source: https://documentation.replicahq.com/llms.txt
name: Replica Data Dictionary
description: Field-level data dictionary for every Replica dataset whose schema is published on documentation.replicahq.com.
  Harvested verbatim from the "Schema" tables of each dataset documentation page (field name, content
  type, sample value, description). Replica publishes no OpenAPI or developer API; these dataset schemas
  are the machine-relevant contract for its data products, delivered through the Replica Studio platform,
  CSV export and direct database access.
docs: https://documentation.replicahq.com/
dataset_count: 19
field_count: 338
datasets:
- key: active-transportation
  title: Active Transportation Trips
  status: active
  docs: https://documentation.replicahq.com/docs/active-transportation
  docs_updated: '2025-11-13'
  field_count: 33
  fields:
  - name: activity_id
    content_type: String
    sample_value: '15323941267251300000'
    description: 'A randomly assigned unique identifier defined for each trip. A trip is defined as travel
      between two locations with a discrete purpose at the origin and destination. Some intermediate stops
      with short dwell time may be captured within a single trip. Criteria for this dwell time may vary.
      Examples of trips: • Home > Work, • Work > Gym, • Shop > Eat, • Home > Starbucks drive-thru > Work'
  - name: person_id
    content_type: String
    sample_value: '4339817784218880000'
    description: A randomly assigned unique identifier for each person modeled within the synthetic population.
  - name: household_id
    content_type: String
    sample_value: '14408018579505000000'
    description: A randomly assigned unique identifier for each household modeled within the synthetic
      population.
  - name: mode
    content_type: String
    sample_value: WALKING
    description: 'Primary transportation mode used for the trip. A trip is often made up of multiple travel
      modes, such as a journey to work that includes a walk to a rail station followed by a subway ride.
      In this case two modes were used by the traveler during their trip, walking and public transit.
      Only the primary mode of travel across a set of trip segments is included. The primary mode is determined
      using the following ranking: 1) Public transit, 2) Driving (private auto)/Auto passenger/Taxi/TNC,
      3) Biking, 4) Walking. This table is limited to the following: • BIKING: Trips made by people biking.
      Replica does not model scooter trips and does not separate out e-bike trips • WALKING: Trips made
      by people walking'
  - name: travel_purpose
    content_type: String
    sample_value: WORK
    description: 'The destination activity assigned to a synthetic person. For example, if a person is
      traveling to work, the purpose of the trip is ''Work,'' whereas if a person is traveling to a restaurant
      the activity is ''Eat.'' Valid values are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries
      and other commercial purposes • EAT: Trips to restaurants • HOME: Trips where the destination is
      the person''s home • LODGING: Trips by visitors to overnight accommodation such as a hotel • MAINTENANCE:
      Trips to hairdressers, auto shops, banks, and a variety of other locations for the purpose of conducting
      errands • OTHER: Catch-all category for all other trips not assigned any of the purposes listed
      herein • RECREATION: Trips to recreational destinations such as parks and swimming pools • REGION_DEPARTURE:
      Trips by visitors to a port-of-exit, such as an airport, or major train station • SCHOOL: Trips
      to schools such as community colleges and universities • SHOP: Trips to stores and other commercial
      centers • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents that start and
      end outside the region • WORK: Trips where the destination is the person''s workplace • WORK FROM
      HOME: Trips where a resident is returning home to work (specifically for residents who are working
      from home on the modeled day). For example, if a person goes out to lunch during the work day, their
      return trip home will be labeled “work_from_home"'
  - name: tour_type
    content_type: String
    sample_value: COMMUTE
    description: 'Indicates what type of tour that included this trip. Tours are travel events that start
      at one location and return to that same location. For example, when a person travels to work and
      returns home, this is a home-based work tour. A tour can have two or more trips. Valid options are:
      • WORK_BASED: Tours that started and ended at work, excluding commute. For example: Work > Eat >
      Work. • COMMUTE: Tours from home to work and back home. Also includes intermediate stops at other
      destinations. For example: Home > Recreation > Work > Shop > Home • OTHER_HOME_BASED: Tours that
      started and ended at home, excluding commutes. For example: Home > Shop > Eat > Home'
  - name: previous_activity_type
    content_type: String
    sample_value: HOME
    description: 'The activity assigned to a synthetic person prior to starting travel. Valid values are:
      • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes • EAT:
      Trips to restaurants • HOME: Trips where the destination is the person''s home • LODGING: Trips
      by visitors to overnight accommodation such as a hotel • MAINTENANCE: Trips to hairdressers, auto
      shops, banks, and a variety of other locations • OTHER: Catch all category for all other trips not
      assigned any of the purposes listed herein • RECREATION: Trips to recreational destinations such
      as parks and swimming pools • REGION_DEPARTURE: Trips by visitors to a port-of-exit, such as an
      airport, or major train station • SCHOOL: Trips to schools such as community colleges and universities
      • SHOP: Trips to stores and other commercial centers • SOCIAL: Trips for social activities • STAGE:
      Trips made by non-residents that start and end outside the region • WORK: Trips where the destination
      is the person''s workplace'
  - name: timezone
    content_type: String
    sample_value: America/Los_Angeles
    description: Timezone of the trip’s start location, using standard tz naming conventions.
  - name: start_time
    content_type: Time
    sample_value: 2019-01-10 06:08:00 America/Los_Angeles
    description: Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: start_local_hour
    content_type: Integer
    sample_value: '12'
    description: Hour of day that the trip started, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: end_time
    content_type: Time
    sample_value: 2019-01-10 07:11:04 America/Los_Angeles
    description: Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: end_local_hour
    content_type: Integer
    sample_value: '14'
    description: Hour of day that the trip ended, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: duration_minutes
    content_type: Integer
    sample_value: '63'
    description: Duration of trip in minutes, calculated as the difference between the trip start_time
      and end_time.
  - name: distance_miles
    content_type: Float
    sample_value: '10.7999733493896'
    description: Distance in miles measured along the trip route.
  - name: transit_route_ids
    content_type: String
    description: NULL for this table
  - name: network_link_ids
    content_type: String
    sample_value: '10541610554341416382'
    description: Unique ID assigned to the link (road segment) that the trip is associated with.
  - name: vehicle_type
    content_type: String (len 20)
    description: NULL for this table
  - name: vehicle_fuel_type
    content_type: String
    description: NULL for this table
  - name: vehicle_fuel_technology
    content_type: String
    description: NULL for this table
  - name: origin_bgrp
    content_type: String(len 12)
    sample_value: '410510010004'
    description: The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
  - name: origin_bgrp_lat
    content_type: Float
    sample_value: '45.492294'
    description: Latitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: origin_bgrp_lng
    content_type: Float
    sample_value: '-122.65334'
    description: Longitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: destination_bgrp
    content_type: String (len 12)
    sample_value: '410510079001'
    description: US Census Bureau-assigned FIPS of the block group in which the trip ended.
  - name: destination_bgrp_lat
    content_type: Float
    sample_value: '45.557407'
    description: Latitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: destination_bgrp_lng
    content_type: Float
    sample_value: '-122.54931'
    description: Longitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: origin_land_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary land use category of the trip origin. Valid options are: • residential •
      commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: origin_land_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary land use category of the trip origin. Valid options are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_land_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary land use category of the trip destination. Valid options are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: destination_land_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary land use category of the trip destination. Valid options are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: origin_building_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary building use category of the trip origin. Valid options are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: origin_building_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary building use category of the trip origin. Valid options are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_building_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary building use category of the trip destination. Valid options are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: destination_building_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary building use category of the trip destination. Valid options are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
- key: annual-average-daily-traffic-aadt
  title: Annual Average Daily Traffic (AADT)
  status: active
  docs: https://documentation.replicahq.com/docs/annual-average-daily-traffic-aadt
  docs_updated: '2026-05-04'
  field_count: 13
  fields:
  - name: stable_edge_id
    content_type: String
    sample_value: '2171086143316490127'
    description: The matching stable edge id (mapping to Replica's road network) for this segment. This
      id will match the Places season for Fall of the selected year.
  - name: comp_stable_edge_id
    content_type: String
    sample_value: '13608319450172218181'
    description: If bidirectional is True for this segment, this field provides the matching stable edge
      id (mapping to Replica's road network) for the opposing direction of travel. This id will match
      the Places season for Fall of the selected year.
  - name: osm_id
    content_type: String
    sample_value: '155000229'
    description: OSM Way ID (version 2020-07-01 for the 2019 data; version 2021-09-01 for the 2021 data;
      version 2022-12-01 for the 2022 data)
  - name: street_name
    content_type: String
    sample_value: Isabel Avenue
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: highway
    content_type: String
    sample_value: trunk
    description: The classification of the link based on OpenStreetMap data.
  - name: length
    content_type: Float
    sample_value: '229.22'
    description: The distance (length) of the network link in meters.
  - name: bidirectional
    content_type: Boolean
    sample_value: 'TRUE'
    description: True if the provided traffic volume is the sum for both directions of an undivided roadway.
      False if for only one direction.
  - name: heading
    content_type: Integer
    sample_value: '176'
    description: The heading of the network link.
  - name: compass_direction
    content_type: String
    sample_value: NE
    description: The compass direction of the network link.
  - name: geometry
    content_type: Geography
    sample_value: LINESTRING(-97.398509 27.662232, -97.398556 27.662034, -97.398517 27.661988)
    description: The geometry (linestring) for each network link.
  - name: aadt
    content_type: Integer
    sample_value: '494'
    description: The annual average daily traffic volume of the network link. This value is inclusive
      of single-unit and combination truck volumes.
  - name: aadt_single_unit
    content_type: Integer
    sample_value: '54'
    description: The annual average daily traffic volume of single unit trucks on the network link. Populated
      for FRC 1 and 2 roads, null otherwise.
  - name: aadt_combination
    content_type: Integer
    sample_value: '44'
    description: The annual average daily traffic volume of combination trucks on the network link. Populated
      for FRC 1 and 2 roads, null otherwise.
- key: auto-tnc-trips
  title: Auto and TNC Trips
  status: active
  docs: https://documentation.replicahq.com/docs/auto-tnc-trips
  docs_updated: '2025-11-13'
  field_count: 33
  fields:
  - name: activity_id
    content_type: String
    sample_value: '15323941267251300000'
    description: 'A randomly assigned unique identifier defined for each trip. A trip is defined as travel
      between two locations with a discrete purpose at the origin and destination. Some intermediate stops
      with short dwell time may be captured within a single trip. Criteria for this dwell time may vary.
      Examples of trips: • Home > Work, • Work > Gym, • Shop > Eat, • Home > Starbucks drive-thru > Work'
  - name: person_id
    content_type: String
    sample_value: '4339817784218880000'
    description: A randomly assigned unique identifier for each person modeled within the synthetic population.
  - name: household_id
    content_type: String
    sample_value: '14408018579505000000'
    description: A randomly assigned unique identifier for each household modeled within the synthetic
      population.
  - name: mode
    content_type: String
    sample_value: PRIVATE_AUTO
    description: 'The primary transportation mode used for the trip. A trip is often made up of multiple
      travel modes, such as a journey to work that includes a walk to a rail station followed by a subway
      ride. In this case two modes were used by the traveler during their trip, walking and public transit.
      Only the primary mode of travel across a set of trip segments is included. The primary mode is determined
      using the following ranking: 1) Public transit, 2) Driving (private auto)/Auto passenger/Taxi/TNC,
      3) Biking, 4) Walking. This table is limited to the following: • CARPOOL: Trips made by passengers
      in private auto vehicles. Sum Carpool and Private Auto trips to get the total number of people who
      traveled in private autos • ON_DEMAND_AUTO: Trips made by passengers in a Taxi or using a Transportation
      Network Company (TNC) such as Uber or Lyft • PRIVATE_AUTO: Trips made by drivers in private auto
      vehicles'
  - name: travel_purpose
    content_type: String
    sample_value: WORK
    description: 'The destination activity assigned to a synthetic person. For example, if a person is
      traveling to work, the purpose of the trip is ''Work,'' whereas if a person is traveling to a restaurant
      the activity is ''Eat.'' Valid values are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries
      and other commercial purposes • EAT: Trips to restaurants • HOME: Trips where the destination is
      the person''s home • LODGING: Trips by visitors to overnight accommodations such as a hotel • MAINTENANCE/ERRANDS:
      Includes trips to auto shops, banks, church and religious organizations, daycare services, dry cleaning
      and laundry services, hairdressers, nail salons, or storage facilities. • OTHER: Catch-all category
      for all other trips not assigned any of the purposes listed herein • RECREATION: Trips to recreational
      destinations, including amusement parks and arcades, gym and fitness centers, casinos, museums,
      parks and swimming pools, spectator sports, golf courses and country clubs, or movies. • REGION_DEPARTURE:
      Trips by visitors to a port-of-exit, such as an airport, or major train station • SCHOOL: Trips
      to schools such as community colleges and universities • SHOP: Trips to stores and other commercial
      centers, including automobile dealers, gas stations, grocery stores, postal service, pharmacies
      and drug stores, or retail shops. • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents
      that start and end outside the region • WORK: Trips where the destination is the person''s workplace
      • WORK FROM HOME: Trips where a resident is returning home to work (specifically for residents who
      are working from home on the modeled day). For example, if a person goes out to lunch during the
      work day, their return trip home will be labeled “work_from_home"'
  - name: tour_type
    content_type: String
    sample_value: COMMUTE
    description: 'Indicates what type of tour included this trip. Tours are travel events that start at
      one location and return to that same location. For example, when a person travels to work and returns
      home, it is a home-based work tour. A tour can have two or more trips. Valid values are: • WORK_BASED:
      Tours that started and ended at work, excluding commute e.g. Work > Eat > Work • COMMUTE: Tours
      from home to work and back home including intermediate stops at other destinations e.g. Home > Recreation
      > Work > Shop > Home • OTHER_HOME_BASED: Tours that started and ended at home, excluding commutes
      e.g. Home > Shop > Eat > Home'
  - name: previous_activity_type
    content_type: String
    sample_value: HOME
    description: 'The activity assigned to a synthetic person prior to starting travel. Valid values are:
      • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes • EAT:
      Trips to restaurants • HOME: Trips where the destination is the person''s home • LODGING: Trips
      by visitors to overnight accommodations such as a hotel • MAINTENANCE/ERRANDS: Includes trips to
      auto shops, banks, church and religious organizations, daycare services, dry cleaning and laundry
      services, hairdressers, nail salons, or storage facilities. • OTHER: Catch all category for all
      other trips not assigned any of the purposes listed herein • RECREATION: Trips to recreational destinations,
      including amusement parks and arcades, gym and fitness centers, casinos, museums, parks and swimming
      pools, spectator sports, golf courses and country clubs, or movies. • REGION_DEPARTURE: Trips by
      visitors to a port-of-exit, such as an airport, or major train station • SCHOOL: Trips to schools
      such as community colleges and universities • SHOP: Trips to stores and other commercial centers,
      including automobile dealers, gas stations, grocery stores, postal service, pharmacies and drug
      stores, or retail shops. • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents
      that start and end outside the region • WORK: Trips where the destination is the person''s workplace'
  - name: timezone
    content_type: String
    sample_value: America/Los_Angeles
    description: Timezone of the trip’s start location, using standard tz naming conventions. America/Los_Angeles
      Timezone • Cal-Nev • Northwest America/Chicago Timezone • Great Lakes • North Central • South Central
      • Southwest America/New_York Timezone • Mid-Atlantic • North Atlantic • Northeast • South Atlantic
      Pacific/Honolulu Timezone •Hawaii
  - name: start_time
    content_type: Time
    sample_value: 2019-01-10 06:08:00 America/Los_Angeles
    description: Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: start_local_hour
    content_type: Integer
    sample_value: '12'
    description: Hour of day that the trip started, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: end_time
    content_type: Time
    sample_value: 2019-01-10 07:11:04 America/Los_Angeles
    description: Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: end_local_hour
    content_type: Integer
    sample_value: '14'
    description: Hour of day that the trip ended, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: duration_minutes
    content_type: Integer
    sample_value: '63'
    description: Duration of trip in minutes, calculated as the difference between the trip start_time
      and end_time.
  - name: distance_miles
    content_type: Float
    sample_value: '10.79997335'
    description: Distance in miles measured along the trip route.
  - name: transit_route_ids
    content_type: String
    description: NULL for this table
  - name: network_link_ids
    content_type: String
    sample_value: '10541610554341416382'
    description: Unique ID assigned to the link (road segment) that the trip is associated with.
  - name: vehicle_type
    content_type: String (Len 20)
    sample_value: PASSENGER_CAR
    description: 'The vehicle type assigned to the vehicle of the synthetic trip. Valid values are: •
      PASSENGER_CAR • MEDIUM_COMMERCIAL: Medium-duty commercial vehicles (14,000 - 26,000 lbs) • HEAVY_COMMERCIAL:
      Heavy-duty commercial vehicles (>26,00 lbs) • MOTORCYCLE Note: If values are NULL, this means that
      this data is not available for the region yet but we hope to have it soon.'
  - name: vehicle_fuel_type
    content_type: String
    sample_value: ELECTRIC
    description: 'The fuel technology assigned to the vehicle of the synthetic trip. Valid values are:
      • ELECTRIC: Battery Electric Vehicle • OTHER_NON_BEV: Non-Battery Electric Vehicle • UNKNOWN_FUEL_TYPE
      Note: Vehicle Fuel Type is only modeled for private auto trips. For each private auto trip, the
      value will be ELECTRIC (trip was taken in a battery electric vehicle) or OTHER_NON_BEV (trip was
      taken in a non-battery electric vehicle). For trips with other modes, like TNC or Auto Passenger,
      the value will be UNKNOWN_FUEL_TYPE.'
  - name: origin_bgrp
    content_type: String(Len 12)
    sample_value: '410510010004'
    description: The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
  - name: origin_bgrp_lat
    content_type: Float
    sample_value: '45.492294'
    description: Latitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: origin_bgrp_lng
    content_type: Float
    sample_value: '-122.65334'
    description: Longitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: destination_bgrp
    content_type: String (Len 12)
    sample_value: '410510079001'
    description: US Census Bureau-assigned FIPS of the block group in which the trip ended.
  - name: destination_bgrp_lat
    content_type: Float
    sample_value: '45.557407'
    description: Latitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: destination_bgrp_lng
    content_type: Float
    sample_value: '-122.54931'
    description: Longitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: origin_land_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary land use category of the trip origin. Valid values are: • residential •
      commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: origin_land_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary land use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_land_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary land use category of the trip destination. Valid values are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: destination_land_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary land use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: origin_building_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary building use category of the trip origin. Valid values are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: origin_building_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary building use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_building_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary building use category of the trip destination. Valid values are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: destination_building_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary building use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: trip_type
    content_type: String
    sample_value: II
    description: 'Indicates whether or not the trip started or ended inside or outside of the core model
      region. Valid values are: • II: core > core region • IE: core > donut region • EI: donut region
      > core region • EE: donut region > donut region'
- key: commercial-freight
  title: Commercial Freight Trips
  status: active
  docs: https://documentation.replicahq.com/docs/commercial-freight
  docs_updated: '2025-11-13'
  field_count: 33
  fields:
  - name: activity_id
    content_type: String
    sample_value: '15323941267251300000'
    description: 'A randomly assigned unique identifier defined for each trip. A trip is defined as travel
      between two locations with a discrete purpose at the origin and destination. Some intermediate stops
      with short dwell time may be captured within a single trip. Criteria for this dwell time may vary.
      Examples of trips: • Home > Work, • Work > Gym, • Shop > Eat, • Home > Starbucks drive-thru > Work'
  - name: person_id
    content_type: String
    sample_value: '4339817784218880000'
    description: A randomly assigned unique identifier for each person modeled within the synthetic population.
  - name: household_id
    content_type: String
    sample_value: '14408018579505000000'
    description: A randomly assigned unique identifier for each household modeled within the synthetic
      population.
  - name: mode
    content_type: String
    sample_value: COMMERCIAL
    description: 'The primary transportation mode used for the trip. A trip is often made up of multiple
      travel modes, such as a journey to work that includes a walk to a rail station followed by a subway
      ride. In this case two modes were used by the traveler during their trip, walking and public transit.
      Only the primary mode of travel across a set of trip segments is included. The primary mode is determined
      using the following ranking: 1) Public transit, 2) Driving (private auto)/Auto passenger/Taxi/TNC,
      3) Biking, 4) Walking. This table is limited to the following: • COMMERCIAL: Trips made by medium
      and heavy trucks'
  - name: travel_purpose
    content_type: String
    sample_value: COMMERCIAL
    description: 'All values in this table are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries
      and other commercial purposes'
  - name: tour_type
    content_type: String
    sample_value: OTHER_HOME_BASED
    description: 'Indicates what type of tour included this trip. Tours are travel events that start at
      one location and return to that same location. All values in this table are: • OTHER_HOME_BASED:
      Tours that started and ended at home, excluding commutes e.g. Home > Shop > Eat > Home'
  - name: previous_activity_type
    content_type: String
    sample_value: COMMERCIAL
    description: 'The activity assigned to a synthetic person prior to starting travel. All values in
      this table are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial
      purposes'
  - name: timezone
    content_type: String
    sample_value: America/Los_Angeles
    description: Timezone of the trip’s start location, using standard tz naming conventions.
  - name: start_time
    content_type: Time
    sample_value: 2019-01-10 06:08:00 America/Los_Angeles
    description: Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: start_local_hour
    content_type: Integer
    sample_value: '12'
    description: Hour of day that the trip started, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: end_time
    content_type: Time
    sample_value: 2019-01-10 07:11:04 America/Los_Angeles
    description: Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: end_local_hour
    content_type: Integer
    sample_value: '14'
    description: Hour of day that the trip ended, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: duration_minutes
    content_type: Integer
    sample_value: '63'
    description: Duration of trip in minutes, calculated as the difference between the trip start_time
      and end_time.
  - name: distance_miles
    content_type: Float
    sample_value: '10.79997335'
    description: Distance in miles measured along the trip route.
  - name: transit_route_ids
    content_type: String
    description: NULL for this table
  - name: network_link_ids
    content_type: String
    sample_value: '10541610554341416382'
    description: Unique ID assigned to the link (road segment) that the trip is associated with.
  - name: vehicle_type
    content_type: String (Len 20)
    sample_value: MEDIUM_COMMERCIAL
    description: 'The vehicle type assigned to the vehicle of the synthetic trip. Valid values are: •
      MEDIUM_COMMERCIAL: Medium-duty commercial vehicles (14,000 - 26,000 lbs) • HEAVY _ COMMERCIAL: Heavy-duty
      commercial vehicles (>26,00 lbs) Note: If values are NULL, this means that this data is not available
      for the region yet but we hope to have it soon.'
  - name: vehicle_fuel_technology
    content_type: String
    sample_value: ICE
    description: 'The fuel technology assigned to the vehicle of the synthetic trip. Valid values are:
      • ICE • BEV • FCV • PHEV • UNKNOWN_FUEL_TECHNOLOGY Note: If values are NULL, this means that this
      data is not available for the region yet but we hope to have it soon.'
  - name: origin_bgrp
    content_type: String(Len 12)
    sample_value: '410510010004'
    description: The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
  - name: origin_bgrp_lat
    content_type: Float
    sample_value: '45.492294'
    description: Latitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: origin_bgrp_lng
    content_type: Float
    sample_value: '-122.65334'
    description: Longitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: destination_bgrp
    content_type: String (Len 12)
    sample_value: '410510079001'
    description: US Census Bureau-assigned FIPS of the block group in which the trip ended.
  - name: destination_bgrp_lat
    content_type: Float
    sample_value: '45.557407'
    description: Latitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: destination_bgrp_lng
    content_type: Float
    sample_value: '-122.54931'
    description: Longitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: origin_land_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary land use category of the trip origin. Valid values are: • residential •
      commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: origin_land_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary land use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_land_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary land use category of the trip destination. Valid values are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: destination_land_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary land use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: origin_building_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary building use category of the trip origin. Valid values are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: origin_building_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary building use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_building_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary building use category of the trip destination. Valid values are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: destination_building_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary building use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: trip_type
    content_type: String
    sample_value: II
    description: 'Indicates whether or not the trip started or ended inside or outside of the core model
      region. Valid values are: • II: core > core region • IE: core > donut region • EI: donut region
      > core region • EE: donut region > donut region'
- key: consumer-spending-by-county-to-county-flows
  title: '[Discontinued] Spend County-to-County Flows'
  status: discontinued
  docs: https://documentation.replicahq.com/docs/consumer-spending-by-county-to-county-flows
  docs_updated: '2025-11-13'
  field_count: 6
  fields:
  - name: home_geo_id
    content_type: Integer
    sample_value: '48113'
    description: FIPS county code of the home location county.
  - name: home_geo_name
    content_type: String
    sample_value: Dallas County, TX
    description: Name of the home location county.
  - name: merchant_geo_id
    content_type: Integer
    sample_value: '48397'
    description: FIPS county code of the merchant location county.
  - name: merchant_geo_name
    content_type: String
    sample_value: Rockwall County, TX
    description: Name of the merchant location county.
  - name: week/month_starting
    content_type: Date
    sample_value: '2022-12-24'
    description: The first day of the week (Saturday) or month of the corresponding row’s data, depending
      on whether monthly or weekly data was selected.
  - name: category__spend
    content_type: Float
    sample_value: '537.92'
    description: 'The total estimated consumer spend in the spend category in a given week by residents
      of the home_name county at merchants in the merchant_name county. Categories include: • Airline/hospitality/car
      rental • Entertainment/recreation • Gas stations/parking/taxis/tolls • Grocery stores • Restaurants/bars
      • Retail'
- key: consumer-spending-by-home-merchant-location
  title: '[Discontinued] Weekly Spend (by home location)'
  status: discontinued
  docs: https://documentation.replicahq.com/docs/consumer-spending-by-home-merchant-location
  docs_updated: '2025-11-13'
  field_count: 5
  fields:
  - name: geo_id
    content_type: Integer
    sample_value: '36005014100'
    description: The GEOID of the corresponding row's geography, as defined by the US Census Bureau.
  - name: geo_name
    content_type: String
    sample_value: 141 (Bronx, NY)
    description: The name corresponding to the row’s geography, as defined by the US Census Bureau or
      specified by the user.
  - name: week/month_starting
    content_type: Date
    sample_value: '2022-06-13'
    description: The first day of the week (Saturday) or month of the corresponding row’s data, depending
      on whether monthly or weekly data was selected.
  - name: population
    content_type: Integer
    sample_value: '5756'
    description: The total population in the geography selected.
  - name: category_spend_online/offline/total
    content_type: Float
    sample_value: '42157.48438'
    description: 'The total consumer spend in a category in a given week across the following categories:
      • Airline/hospitality/car rental • Entertainment/recreation • Gas stations/parking/taxis/tolls •
      Grocery stores • Restaurants/bars • Retail Note: spend by home location includes both online and
      in-person spend estimates. Spend by merchant estimates only include in-person spending.'
- key: crash-data
  title: Crash Data
  status: active
  docs: https://documentation.replicahq.com/docs/crash-data
  docs_updated: '2026-07-22'
  field_count: 16
  fields:
  - name: '`rank`'
    content_type: Integer
    sample_value: '`1`'
    description: Row rank, 1-based. Rows are sorted by crash date, newest first. Not a stable crash ID;
      purely the position in this export.
  - name: '`date`'
    content_type: Date
    sample_value: '`12/29/2024`'
    description: Date the crash occurred, formatted `MM/DD/YYYY`. Local time.
  - name: '`time`'
    content_type: Time
    sample_value: '`9:00 PM`'
    description: Hour the crash occurred, rendered as a 12-hour clock label from an integer hour (0–23).
      Local time.
  - name: '`severity`'
    content_type: String
    sample_value: '`1 Fatality, 1 A Injury, 1 C Injury`'
    description: Computed summary of the crash's outcomes, built from the underlying fatality and KABCO-based
      injury counts. Lists only the non-zero categories.
  - name: '`collision_type`'
    content_type: String
    sample_value: '`Front-to-front`'
    description: Manner of collision.
  - name: '`mode`'
    content_type: String
    sample_value: '`Pedestrian, Motor Vehicle`'
    description: Comma-separated list of transportation modes involved in the crash.
  - name: '`contributing_factor`'
    content_type: String
    sample_value: '`None Noted`'
    description: Primary reported contributing factor.
  - name: '`location_type`'
    content_type: String
    sample_value: '`On Roadway`'
    description: Type of location where the crash occurred.
  - name: '`street`'
    content_type: String
    sample_value: '`MU- WESTERN AVE`'
    description: Primary street name of the crash location.
  - name: '`cross_street_name`'
    content_type: String
    sample_value: '`26TH ST`'
    description: Nearest cross street of the crash location.
  - name: '`highway`'
    content_type: String
    sample_value: '`Yes`'
    description: Whether the crash occurred on a highway.
  - name: '`road_classification`'
    content_type: String
    sample_value: '`Principal Arterial - Other`'
    description: Functional road classification.
  - name: '`road_surface_condition`'
    content_type: String
    sample_value: '`Wet`'
    description: Road surface condition at time of crash.
  - name: '`light_condition`'
    content_type: String
    sample_value: '`Dark - Lighted`'
    description: Lighting condition at time of crash.
  - name: '`weather_condition`'
    content_type: String
    sample_value: '`Rain`'
    description: Weather condition at time of crash.
  - name: '`jurisdiction`'
    content_type: String
    sample_value: '`State Highway Agency`'
    description: Reporting jurisdiction.
- key: daily-network-link-volumes
  title: Daily Network Link Volumes
  status: active
  docs: https://documentation.replicahq.com/docs/daily-network-link-volumes
  docs_updated: '2026-03-06'
  field_count: 5
  fields:
  - name: stableEdgeId
    description: The unique ID of the network link.
  - name: biStableEdgeId
    description: The common identifier between two adjacent opposite-direction links for links on undivided
      roadways. On divided roadways, this field is a unique identifier similar to stableEdgeId.
  - name: street_name
    description: The principal name of the street belonging to the network link.
  - name: date
    description: The date of the network link volume estimation.
  - name: daily_vehicle_trips
    description: The estimated vehicle trip count on the selected date for the selected link. If directional
      counts are selected, this count will be per stableEdgeId; if not, this count will be per biStableEdgeId,
      which sums up counts on undivided roadways.
- key: daily-o-d-data
  title: Daily O-D Pairs
  status: active
  docs: https://documentation.replicahq.com/docs/daily-o-d-data
  docs_updated: '2026-04-30'
  field_count: 6
  fields:
  - name: geoid_origin
    description: The ID of the geographic feature where the trips originate. If the feature is a Census
      geography, this field will contain its FIPS code.
  - name: geo_name_origin
    description: The name of the geographic feature where the trips originate.
  - name: geoid_destination
    description: The ID of the geographic feature where the trips terminate. If the feature is a Census
      geography, this field will contain its FIPS code.
  - name: geo_name_destination
    description: The name of the geographic feature where the trips terminate.
  - name: date
    description: The date at which OD counts are estimated in the format YYYY-MM-DD. Similar to the hour,
      this date is reported in local time at the centroid of the starting H3 cell.
  - name: trips
    description: The estimated daily OD count for the selected start and end geography on the estimation
      date.
- key: daily-vmt
  title: Daily VMT
  status: active
  docs: https://documentation.replicahq.com/docs/daily-vmt
  docs_updated: '2026-03-06'
  field_count: 4
  fields:
  - name: geoid
    description: The ID of the geographic feature in the selected geo breakdown. If the feature is a Census
      geography, this field will contain its FIPS code.
  - name: geo_name
    description: The name of the geographic feature in the selected geo breakdown.
  - name: date
    description: The date of the network link volume estimation underlying the VMT summation.
  - name: vmt
    description: The estimated network link volumes within the geographic feature multiplied by the length
      of the network links within the feature.
- key: demographics-employment
  title: Demographics and Employment
  status: active
  docs: https://documentation.replicahq.com/docs/demographics-employment
  docs_updated: '2025-11-13'
  field_count: 39
  fields:
  - name: household_id
    content_type: String
    sample_value: '14102589208980400000'
    description: Unique identifier of a household.
  - name: person_id
    content_type: String
    sample_value: '14408018579505000000'
    description: Unique identifier of a person.
  - name: BLOCKGROUP
    content_type: String
    sample_value: '410050201001'
    description: The US Census Bureau-assigned FIPS code of the census block group containing the housing
      unit based on the decennial census 2010.
  - name: BLOCKGROUP_work
    content_type: String
    sample_value: '410050227021'
    description: The US Census Bureau-assigned FIPS code of the census block group containing the person's
      workplace (for employed persons only.)
  - name: BLOCKGROUP_school
    content_type: String
    sample_value: '410510063001'
    description: The US Census Bureau-assigned FIPS code of the census block group containing the person's
      school (for students only).
  - name: TRACT
    content_type: String
    sample_value: '41005020100'
    description: The US Census Bureau-assigned FIPS code of the census tract containing the housing unit.
  - name: TRACK_work
    content_type: String
    sample_value: '41005022702'
    description: The US Census Bureau-assigned FIPS code of the census tract containing the person's workplace
      (for employed persons only).
  - name: TRACT_school
    content_type: String
    sample_value: '41051006300'
    description: The US Census Bureau-assigned FIPS code of the census tract containing the person's school
      (for students only).
  - name: age_group*
    content_type: String
    sample_value: '18_24'
    description: 'Age range a person falls within. Value ranges include: • lte_4 • 5_14 • 15_17 • 18_24
      • 25_34 • 35_64 • 65_plus'
  - name: age
    content_type: Integer
    sample_value: '19'
    description: Age, in years old, assigned to the person.
  - name: sex
    content_type: String
    sample_value: M
    description: Sex assigned to the person, male (M) or female (F).
  - name: race
    content_type: String
    sample_value: white
    description: 'Race assigned to the person. Valid values include: • american_indian_alaska_native •
      asian • black_african_american • hawaiin_pacific • other_race_alone • two_or_more_races • white'
  - name: ethnicity
    content_type: String
    sample_value: not_hispanic_or_latino
    description: 'Ethnicity of a person. Valid values include: • not_hispanic_or_latino • hispanic_or_latino'
  - name: individual_income_group
    content_type: String
    sample_value: '0_20000'
    description: 'Range a person''s annual income falls within. Value ranges include: • lte_0 • 0_20000
      • 20000_40000 • 40000_80000 • 80000_100000 • 100000_plus'
  - name: individual_income
    content_type: Integer
    sample_value: '7500'
    description: 'Total annual income of a person. Note: Some individuals have negative income levels.
      Negative income is typically associated with business or capital loss that’s subsequently allocated
      to the individual taxpayer. This comes from Census data.'
  - name: employment
    content_type: String
    sample_value: employed
    description: 'Employment status of a person. Valid values include: • employed • notinlf • under_16
      • unemployed'
  - name: education*
    content_type: String
    sample_value: k_12
    description: 'Education level of a person. Valid values include: • advanced_degree • bachelors_degree
      • high_school • k_12 • no_school • some_college • under_3'
  - name: school_grade_attending*
    content_type: String
    sample_value: not_attending_school
    description: 'Current grade level assigned to a person. Valid values include: • graduate • kindergarten
      • not_attending_school • school • undergraduate'
  - name: industry*
    content_type: String
    sample_value: naics51
    description: 'Industry sector a person works within, reported in NAICS code. For a list of NAICS codes
      see: https://www.naics.com/search-naics-codes-by-industry.'
  - name: household_role*
    content_type: String
    sample_value: child
    description: 'The role of the person in the household. Valid values include: • child • GQ • head_of_household
      • immobile_GQ • non_relative • relative • spouse'
  - name: subfamily_number*
    content_type: Integer
    sample_value: '1'
    description: Number assigned to the subfamily that the person belongs to in a household.
  - name: subfamily_relationship*
    content_type: String
    sample_value: parent_with_child
    description: 'Relationship of a person within the subfamily. Valid values include: • child • husband/wife_no_children
      • husband/wife_with_children • parent_with_child • N/A'
  - name: commute_mode
    content_type: String
    sample_value: driving
    description: 'Typical commute mode used by a person. Valid values include: • biking • carpool • driving
      • not_working • transit • walking • worked_from_home'
  - name: tenure*
    content_type: String
    sample_value: owner
    description: 'Tenure of household. Valid values include: • owner • renter • GQ'
  - name: migration*
    content_type: String
    sample_value: same_house
    description: 'Indicates mobility status (if the household has lived in the same unit 1 year ago).
      Valid values include: • N/A (Lived in house <1 year; Also applies to group quarters) • same_house
      (non-movers) • outside_us • within_us'
  - name: household_size
    content_type: String
    sample_value: 3_person
    description: 'Number of persons that make up the household. Valid values include: • 1_person • 1_person_group_quarters
      • 2_person • 3_person • 4_person • 5_person • 6_person • 7_plus_person'
  - name: household_income_group*
    content_type: String
    sample_value: 125000_plus
    description: 'Income range that the total income of the household falls within. Valid values include:
      • lte_10000 • 10000_40000 • 40000_75000 • 75000_125000 • 125000_plus'
  - name: household_income
    content_type: Integer
    sample_value: '408500'
    description: Total income of the household.
  - name: family_structure*
    content_type: String
    sample_value: married_couple
    description: 'Household family structure. Valid values include: • family_single • GQ • living_alone
      • married_couple • nonfamily_single'
  - name: vehicles
    content_type: String
    sample_value: 3_plus
    description: 'Number of vehicles owned by a household. Valid values include: • zero • 1 • 2 • 3_plus
      • GQ'
  - name: building_type*
    content_type: String
    sample_value: mobile
    description: 'Indicates the unit in the household’s structure. Valid values include: • mobile (mobile
      home, trailer, boat, RV, or van) • single_family (one-family home, attached or detached) • several_units
      (2-4 apartments) • multiple_units (5+ apartments) • GQ_structure (group quarters)'
  - name: resident_type
    content_type: String
    sample_value: core
    description: 'Indicates whether or not the person is a resident of the region. Valid values include:
      • core: A resident of the core region. • donut: A resident of the surrounding counties who work
      or go to school in the core region. • visitor: A person who does not normally reside in the core
      or donut region who enters and/or exits the region via a ‘port of entry’ (airport, freeway crossing).'
  - name: language*
    content_type: String
    sample_value: english
    description: 'Indicates the household language. Valid values include: • english • spanish • indo-european
      • asian-pacific • other • GQ_language'
  - name: lat*
    content_type: Float
    sample_value: '37.434211'
    description: Latitude of the block group centroid representing the home location, reported in decimal
      degrees, WGS 84.
  - name: lng*
    content_type: Float
    sample_value: '-122.16801'
    description: Longitude of the block group centroid representing the home location, reported in decimal
      degrees, WGS 84.
  - name: lat_work*
    content_type: Float
    sample_value: '37.434211'
    description: Latitude of the block group centroid representing the work location, reported in decimal
      degrees, WGS 84 (for employed persons only).
  - name: lng_work*
    content_type: Float
    sample_value: '-122.16801'
    description: Longitude of the block group centroid representing the work location, reported in decimal
      degrees, WGS 84 (for employed persons only).
  - name: lat_school*
    content_type: Float
    sample_value: '37.434211'
    description: Latitude of the block group centroid representing the school location, reported in decimal
      degrees, WGS 84 (for students only).
  - name: lng_school*
    content_type: Float
    sample_value: '-122.16801'
    description: Longitude of the block group centroid representing the school location, reported in decimal
      degrees, WGS 84 (for students only).
- key: disaggregate-trip-tables
  title: Seasonal Trip Table
  status: active
  docs: https://documentation.replicahq.com/docs/disaggregate-trip-tables
  docs_updated: '2025-11-13'
  field_count: 33
  fields:
  - name: activity_id
    content_type: String
    sample_value: '12456839588397874772'
    description: 'A randomly assigned unique identifier defined for each trip. A trip is defined as travel
      between two locations with a discrete purpose at the origin and destination. Some intermediate stops
      with short dwell time may be captured within a single trip. Criteria for this dwell time may vary.
      Examples of trips: • Home > Work, • Work > Gym, • Shop > Eat, • Home > Starbucks drive-thru > Work'
  - name: person_id
    content_type: String
    sample_value: '5666337802154872887'
    description: A randomly assigned unique identifier for each person modeled within the synthetic population.
  - name: household_id
    content_type: String
    sample_value: '12981492413956702344'
    description: A randomly assigned unique identifier for each household modeled within the synthetic
      population.
  - name: mode
    content_type: String
    sample_value: PUBLIC_TRANSIT
    description: 'The primary transportation mode used for the trip. A trip is often made up of multiple
      travel modes, such as a journey to work that includes a walk to a rail station followed by a subway
      ride. In this case two modes were used by the traveler during their trip, walking and public transit.
      Only the primary mode of travel across a set of trip segments is included. The primary mode is determined
      using the following ranking: 1) Public transit, 2) Driving (private auto)/Auto passenger/Taxi/TNC,
      3) Biking, 4) Walking. Valid values are: • BIKING: Trips made by people biking. Replica does not
      model scooter trips and does not separate out e-bike trips • CARPOOL: Trips made by passengers in
      private auto vehicles. Sum Carpool and Private Auto trips to get the total number of people who
      traveled in private autos • COMMERCIAL: Trips made by medium and heavy trucks • ON_DEMAND_AUTO:
      Trips made by passengers in a Taxi or using a Transportation Network Company (TNC) such as Uber
      or Lyft • OTHER_TRAVEL_MODE: Catch-all category for all other trips not assigned any of the modes
      listed herein • PRIVATE_AUTO: Trips made by drivers in private auto vehicles • PUBLIC_TRANSIT: Trips
      that primarily used public transit, such as buses, light rail, and subways • WALKING: Trips made
      by people walking Replica does not explicitly model trips made by school buses. These trips would
      fall under other mode categories, like auto passengers of private auto vehicles, private auto (for
      those old enough to drive), or walking.'
  - name: travel_purpose
    content_type: String
    sample_value: WORK
    description: 'The destination activity assigned to a synthetic person. For example, if a person is
      traveling to work, the purpose of the trip is ''Work,'' whereas if a person is traveling to a restaurant
      the activity is ''Eat.'' Valid values are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries
      and other commercial purposes • EAT: Trips to restaurants • HOME: Trips where the destination is
      the person''s home • LODGING: Trips by visitors to overnight accommodation such as a hotel • MAINTENANCE:
      Trips to hairdressers, auto shops, banks, and a variety of other locations for the purpose of conducting
      errands • OTHER: Catch-all category for all other trips not assigned any of the purposes listed
      herein • RECREATION: Trips to recreational destinations such as parks and swimming pools • REGION_DEPARTURE:
      Trips to a port-of-exit, such as an airport, or freeway crossing. • SCHOOL: Trips to schools such
      as community colleges and universities • SHOP: Trips to stores and other commercial centers • SOCIAL:
      Trips for social activities • STAGE: Trips made by non-residents that start and end outside the
      region • WORK: Trips where the destination is the person''s workplace • WORK FROM HOME: Trips where
      a resident is returning home to work (specifically for residents who are working from home on the
      modeled day). For example, if a person goes out to lunch during the work day, their return trip
      home will be labeled “work_from_home"'
  - name: tour_type
    content_type: String
    sample_value: COMMUTE
    description: 'Indicates what type of tour included this trip. Tours are travel events that start at
      one location and return to that same location. For example, when a person travels to work and returns
      home, it is a home-based work tour. A tour can have two or more trips. Valid values are: • WORK_BASED:
      Tours that started and ended at work, excluding commute e.g. Work > Eat > Work • COMMUTE: Tours
      from home to work and back home including intermediate stops at other destinations e.g. Home > Recreation
      > Work > Shop > Home • OTHER_HOME_BASED: Tours that started and ended at home, excluding commutes
      e.g. Home > Shop > Eat > Home'
  - name: previous_activity_type
    content_type: String
    sample_value: HOME
    description: 'The activity assigned to a synthetic person prior to starting travel. Valid values are:
      • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes • EAT:
      Trips to restaurants • HOME: Trips where the destination is the person''s home • LODGING: Trips
      by visitors to overnight accommodation such as a hotel • MAINTENANCE: Trips to hairdressers, auto
      shops, banks, and a variety of other locations • OTHER: Catch all category for all other trips not
      assigned any of the purposes listed herein • RECREATION: Trips to recreational destinations such
      as parks and swimming pools • REGION_ARRIVAL: Trips to a port-of-entry, such as an airport, or freeway
      crossing • REGION_DEPARTURE: Trips to a port-of-exit, such as an airport, or freeway crossing •
      SCHOOL: Trips to schools such as community colleges and universities • SHOP: Trips to stores and
      other commercial centers • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents
      that start and end outside the region • WORK: Trips where the destination is the person''s workplace'
  - name: timezone
    content_type: String
    sample_value: America/Los_Angeles
    description: Timezone of the trip’s start location, using standard tz naming conventions.
  - name: start_time
    content_type: Time
    sample_value: 2019-01-10 06:08:00 America/Los_Angeles
    description: Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: start_local_hour
    content_type: Integer
    sample_value: '12'
    description: Hour of day that the trip started, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: end_time
    content_type: Time
    sample_value: 2019-01-10 07:11:04 America/Los_Angeles
    description: Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: end_local_hour
    content_type: Integer
    sample_value: '14'
    description: Hour of day that the trip ended, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: duration_minutes
    content_type: Integer
    sample_value: '63'
    description: Duration of trip in minutes, calculated as the difference between the trip start_time
      and end_time.
  - name: distance_miles
    content_type: Float
    sample_value: '10.79997335'
    description: Distance in miles measured along the trip route.
  - name: transit_route_ids
    content_type: String
    sample_value: Capital Metro:803
    description: The ID of the transit route used for a trip. Only applies to trips with mode as “PUBLIC_TRANSIT.”
      Transit Agency name and Route ID pulled from agency’s GTFS feed.
  - name: network_link_ids
    content_type: String
    sample_value: '10541610554341416382'
    description: Unique ID assigned to the link (road segment) that the trip is associated with.
  - name: vehicle_type
    content_type: String (Len 20)
    sample_value: PASSENGER_CAR
    description: 'The vehicle type assigned to the vehicle of the synthetic trip. Valid values are: •
      PASSENGER_CAR • MEDIUM_COMMERCIAL: Medium-duty commercial vehicles (14,000 - 26,000 lbs) • HEAVY_COMMERCIAL:
      Heavy-duty commercial vehicles (>26,00 lbs) • MOTORCYCLE Note: If values are NULL, this means that
      this data is not available for the region yet but we hope to have it soon.'
  - name: vehicle_fuel_type
    content_type: String
    sample_value: ICE
    description: 'The fuel technology assigned to the vehicle of the synthetic trip. Valid values are:
      • ELECTRIC: Battery Electric Vehicle • OTHER_NON_BEV: Non-Battery Electric Vehicle • UNKNOWN_FUEL_TYPE
      Note: Vehicle Fuel Type is only modeled for private auto trips. For each private auto trip, the
      value will be ELECTRIC (trip was taken in a battery electric vehicle) or OTHER_NON_BEV (trip was
      taken in a non-battery electric vehicle). For trips with other modes, like TNC or Auto Passenger,
      the value will be UNKNOWN_FUEL_TYPE.'
  - name: origin_bgrp
    content_type: String (Len 12)
    sample_value: '410510010004'
    description: The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
  - name: origin_bgrp_lat
    content_type: Float
    sample_value: '45.492294'
    description: Latitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: origin_bgrp_lng
    content_type: Float
    sample_value: '-122.65334'
    description: Longitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: destination_bgrp
    content_type: String (Len 12)
    sample_value: '410510079001'
    description: US Census Bureau-assigned FIPS of the block group in which the trip ended.
  - name: destination_bgrp_lat
    content_type: Float
    sample_value: '45.557407'
    description: Latitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: destination_bgrp_lng
    content_type: Float
    sample_value: '-122.54931'
    description: Longitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: origin_land_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary land use category of the trip origin. Valid values are: • residential •
      commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: origin_land_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary land use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_land_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary land use category of the trip destination. Valid values are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: destination_land_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary land use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: origin_building_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary building use category of the trip origin. Valid values are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: origin_building_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary building use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_building_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary building use category of the trip destination. Valid values are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: destination_building_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary building use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: trip_type
    content_type: String
    sample_value: II
    description: 'Indicates whether or not the trip started or ended inside or outside of the core model
      region. Valid values are: • II: core > core region • IE: core > donut region • EI: donut region
      > core region • EE: donut region > donut region'
- key: free-flow-speed-per-network-link
  title: Annual Speeds per Network Link
  status: active
  docs: https://documentation.replicahq.com/docs/free-flow-speed-per-network-link
  docs_updated: '2026-05-04'
  field_count: 15
  fields:
  - name: stable_edge_id
    content_type: String
    sample_value: '6544473848226082043'
    description: A unique identifier for each road segment.
  - name: osm_id
    content_type: String
    sample_value: '5149900'
    description: OSM Way ID (version 2021-09-01 for the 2021 data; version 2022-12-01 for the 2022 data)
  - name: street_name
    content_type: String
    sample_value: Scenic Avenue
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: highway
    content_type: String
    sample_value: secondary_link
    description: The classification of the link based on OpenStreetMap data if available.
  - name: length
    content_type: Float
    sample_value: '29.46'
    description: The length of the network link in meters.
  - name: lanes
    content_type: Integer
    sample_value: '2'
    description: The number of lanes in the network link.
  - name: heading
    content_type: Integer
    sample_value: '121'
    description: The heading of the network link.
  - name: compass_direction
    content_type: String
    sample_value: SW
    description: The compass direction of the network link.
  - name: geometry
    content_type: String
    sample_value: LINESTRING(-122.819859 45.52401, -122.821542 45.524663, -122.82234 45.524944, -122.833081
      45.529006)
    description: 'Orientation of speed relative to OSM way (True: parallel, False: antiparallel).'
  - name: speed_limit_mph
    content_type: Integer
    sample_value: '45'
    description: Speed limit of the network link in miles per hour
  - name: average_speed_mph
    content_type: Integer
    sample_value: '38'
    description: Average speed for the newtork link in miles per hour
  - name: free_flow_speed_mph
    content_type: Integer
    sample_value: '44'
    description: Free flow speed for the network link in miles per hour.
  - name: speed_p50_mph
    content_type: Integer
    sample_value: '40'
    description: Median of speeds for the network link in miles per hour.
  - name: speed_p85_mph
    content_type: Integer
    sample_value: '42'
    description: Percentile 85 of speeds for the network link in miles per hour.
  - name: speed_p95_mph
    content_type: Integer
    sample_value: '45'
    description: Percentile 95 of speeds for the network link in miles per hour.
- key: hourly-auto-volume-profile
  title: Hourly Auto Volume Profile
  status: active
  docs: https://documentation.replicahq.com/docs/hourly-auto-volume-profile
  docs_updated: '2026-05-04'
  field_count: 12
  fields:
  - name: stable_edge_id
    content_type: String
    sample_value: '13879083565943480423'
    description: The matching stable edge id (mapping to Replica's road network) for this segment. This
      id will match the Places season for Fall of the selected year.
  - name: comp_stable_edge_id
    content_type: String
    sample_value: '11547986894199161929'
    description: If bidirectional is True for this segment, this field provides the matching stable edge
      id (mapping to Replica's road network) for the opposing direction of travel. This id will match
      the Places season for Fall of the selected year.
  - name: osm_id
    content_type: String
    sample_value: '23730229'
    description: OSM Way ID (version 2020-07-01 for the 2019 data; version 2021-09-01 for the 2021 data;
      version 2022-12-01 for the 2022 data)
  - name: street_name
    content_type: String
    sample_value: Isabel Avenue
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: highway
    content_type: String
    sample_value: trunk
    description: The classification of the link based on OpenStreetMap data.
  - name: length
    content_type: Float
    sample_value: '229.22'
    description: The distance (length) of the network link in meters.
  - name: bidirectional
    content_type: Boolean
    sample_value: 'TRUE'
    description: True if the provided traffic volume is the sum for both directions of an undivided roadway.
      False if for only one direction.
  - name: heading
    content_type: Integer
    sample_value: '176'
    description: The heading of the network link.
  - name: compass_direction
    content_type: String
    sample_value: NE
    description: The compass direction of the network link.
  - name: geometry
    content_type: Geography
    sample_value: LINESTRING(-97.398509 27.662232, -97.398556 27.662034, -97.398517 27.661988)
    description: The geometry (linestring) for each network link.
  - name: aadt
    content_type: Integer
    sample_value: '4554'
    description: AADT on the network link. If the metric selected is Single Unit or Combination Truck
      Volume, this column will reflect the corresponding AADT for Single Unit or Combination Truck and
      be titled aadt_single_unit or aadt_combination.
  - name: wkdy_0....wkdy_23
    content_type: Float
    sample_value: '321.2'
    description: One column per hour. The value in each column represents the volume on the network link
      in the hour bucket. Buckets are expressed as 0-23 and are counted from midnight. If an "Average
      Weekday" or "Average Weekend Day" is selected for download, the columns will be named wkdy_0...wkdy_23
      and wknd_0...wknd_23 respectively. The average weekday values are averaged over Monday to Friday;
      the average weekend values are averaged over Saturday and Sunday. If "All" days of the week are
      selected for download, the columns will be labelled mon_0...mon_23, tue_0...tue_23, etc.
- key: network-links
  title: Network Links
  status: active
  docs: https://documentation.replicahq.com/docs/network-links
  docs_updated: '2025-11-13'
  field_count: 13
  fields:
  - name: stableEdgeId
    content_type: String
    sample_value: '1.63807E+19'
    description: A unique identifier for the network link.
  - name: startLat
    content_type: Float
    sample_value: '34.36907793'
    description: The latitude of the starting point of the network link, stored in decimal degrees.
  - name: startLon
    content_type: Float
    sample_value: '-101.762211'
    description: The longitude of the starting point of the network link, stored in decimal degrees.
  - name: endLat
    content_type: Float
    sample_value: '34.36866032'
    description: The latitude of the end point of the network link, stored in decimal degrees.
  - name: endLon
    content_type: Float
    sample_value: '-101.7656375'
    description: The longitude of the end point of the network link, stored in decimal degrees.
  - name: streetName
    content_type: String
    sample_value: Sunrise Passage
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: distance
    content_type: Integer
    sample_value: '318000'
    description: The distance (length) of the network link in millimeters.
  - name: osmid
    content_type: String
    sample_value: '21250769'
    description: The OpenStreetMap ID assigned to the network link.
  - name: speed
    content_type: Integer
    sample_value: '20.69196279'
    description: The speed limit on the link in miles per hour.
  - name: flags
    content_type: String
    sample_value: '[ALLOWS_CAR, ALLOWS_BIKE, ALLOWS_PEDESTRIAN]'
    description: A flag denoting what type of vehicles and pedestrian traffic are permitted on the network
      edge.
  - name: lanes
    content_type: Integer
    sample_value: '2'
    description: The number of travel lanes on the network link. A "-1" value means we could not parse
      a lane count from OpenStreetMap (OSM). A "0" value means that the road isn't passable by cars (i.e.,
      it doesn't have the allows_car flag that appears in the "flags" column in the table).
  - name: highway
    content_type: String
    sample_value: secondary_link
    description: The classification of the link based on OpenStreetMap data.
  - name: geometry
    content_type: String
    sample_value: LINESTRING(-93.254892 43.986738, -93.254799 43.993382)
    description: The geometry type for each network link including the start and end latitude and longitude
      points of the link segment.
- key: quarter-hourly-speed-profile-per-network-link-annual
  title: Annual Quarter-Hourly Speed Profiles
  status: active
  docs: https://documentation.replicahq.com/docs/quarter-hourly-speed-profile-per-network-link-annual
  docs_updated: '2026-05-04'
  field_count: 12
  fields:
  - name: stable_edge_id
    content_type: String
    sample_value: '6544473848226082043'
    description: A unique identifier for each road segment.
  - name: osm_id
    content_type: String
    sample_value: '5149900'
    description: OSM Way ID (version 2021-09-01 for the 2021 data; version 2022-12-01 for the 2022 data)
  - name: street_name
    content_type: String
    sample_value: Scenic Avenue
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: highway
    content_type: String
    sample_value: secondary_link
    description: The classification of the link based on OpenStreetMap data if available.
  - name: length
    content_type: Float
    sample_value: '29.46'
    description: The length of the network link in meters.
  - name: lanes
    content_type: Integer
    sample_value: '2'
    description: The number of lanes in the network link.
  - name: heading
    content_type: Integer
    sample_value: '121'
    description: The heading of the network link.
  - name: compass_direction
    content_type: String
    sample_value: SW
    description: The compass direction of the network link.
  - name: geometry
    content_type: String
    sample_value: LINESTRING(-122.279327301964 37.8109962748959, -122.279142155032 37.8109143185075, -122.279041013398
      37.8108588116808)
    description: The geometry of the network link.
  - name: speed_limit_mph
    content_type: Integer
    sample_value: '45'
    description: Speed limit of the network link in miles per hour.
  - name: free_flow_speed_mph
    content_type: Integer
    sample_value: '48'
    description: Free-flow speed for the network link in miles per hour.
  - name: mon_0, mon_1...mon_95
    content_type: Float
    sample_value: '66.2'
    description: One column per quarter hour. The value in each column represents the speed on the network
      link in the quarter-hour bucket. Buckets are expressed as 0-95 and are counted from midnight. If
      a specific day of the week is chosen for download, the column names will reflect the day of week
      (e.g. mon_0, tue_0, wed_0). If an "Average Weekday" or "Average Weekend Day" is selected for download,
      the columns will be named wkdy_0...wkdy_95 and wknd_0...wknd_95 respectively. The average weekday
      values are averaged over Monday to Friday; the average weekend values are averaged over Saturday
      and Sunday.
- key: transit
  title: Transit Trips
  status: active
  docs: https://documentation.replicahq.com/docs/transit
  docs_updated: '2025-11-13'
  field_count: 40
  fields:
  - name: activity_id
    content_type: String
    sample_value: '15323941267251300000'
    description: 'A randomly assigned unique identifier defined for each trip. A trip is defined as travel
      between two locations with a discrete purpose at the origin and destination. Some intermediate stops
      with short dwell time may be captured within a single trip. Criteria for this dwell time may vary.
      Examples of trips: • Home > Work, • Work > Gym, • Shop > Eat, • Home > Starbucks drive-thru > Work'
  - name: person_id
    content_type: String
    sample_value: '4339817784218880000'
    description: A randomly assigned unique identifier for each person modeled within the synthetic population.
  - name: household_id
    content_type: String
    sample_value: '14408018579505000000'
    description: A randomly assigned unique identifier for each household modeled within the synthetic
      population.
  - name: mode
    content_type: String
    sample_value: PUBLIC_TRANSIT
    description: 'The primary transportation mode used for the trip. A trip is often made up of multiple
      travel modes, such as a journey to work that includes a walk to a rail station followed by a subway
      ride. In this case two modes were used by the traveler during their trip, walking and public transit.
      Only the primary mode of travel across a set of trip segments is included. The primary mode is determined
      using the following ranking: 1) Public transit, 2) Driving (private auto)/Auto passenger/Taxi/TNC,
      3) Biking, 4) Walking. This table is limited to the following: • PUBLIC_TRANSIT: Trips that primarily
      used public transit, such as buses, light rail, and subways'
  - name: travel_purpose
    content_type: String
    sample_value: WORK
    description: 'The destination activity assigned to a synthetic person. For example, if a person is
      traveling to work, the purpose of the trip is ''Work,'' whereas if a person is traveling to a restaurant
      the activity is ''Eat.'' Valid values are: • COMMERCIAL: Trips by medium and heavy trucks for deliveries
      and other commercial purposes • EAT: Trips to restaurants • HOME: Trips where the destination is
      the person''s home • LODGING: Trips by visitors to overnight accommodation such as a hotel • MAINTENANCE:
      Trips to hairdressers, auto shops, banks, and a variety of other locations for the purpose of conducting
      errands • OTHER: Catch-all category for all other trips not assigned any of the purposes listed
      herein • RECREATION: Trips to recreational destinations such as parks and swimming pools • REGION_DEPARTURE:
      Trips by visitors to a port-of-exit, such as an airport, or major train station • SCHOOL: Trips
      to schools such as community colleges and universities • SHOP: Trips to stores and other commercial
      centers • SOCIAL: Trips for social activities • STAGE: Trips made by non-residents that start and
      end outside the region • WORK: Trips where the destination is the person''s workplace • WORK FROM
      HOME: Trips where a resident is returning home to work (specifically for residents who are working
      from home on the modeled day). For example, if a person goes out to lunch during the work day, their
      return trip home will be labeled “work_from_home"'
  - name: tour_type
    content_type: String
    sample_value: COMMUTE
    description: 'Indicates what type of tour included this trip. Tours are travel events that start at
      one location and return to that same location. For example, when a person travels to work and returns
      home, it is a home-based work tour. A tour can have two or more trips. Valid values are: • WORK_BASED:
      Tours that started and ended at work, excluding commute e.g. Work > Eat > Work • COMMUTE: Tours
      from home to work and back home including intermediate stops at other destinations e.g. Home > Recreation
      > Work > Shop > Home • OTHER_HOME_BASED: Tours that started and ended at home, excluding commutes
      e.g. Home > Shop > Eat > Home'
  - name: previous_activity_type
    content_type: String
    sample_value: HOME
    description: 'The activity assigned to a synthetic person prior to starting travel. Valid values are:
      • COMMERCIAL: Trips by medium and heavy trucks for deliveries and other commercial purposes • EAT:
      Trips to restaurants • HOME: Trips where the destination is the person''s home • LODGING: Trips
      by visitors to overnight accommodation such as a hotel • MAINTENANCE: Trips to hairdressers, auto
      shops, banks, and a variety of other locations • OTHER: Catch all category for all other trips not
      assigned any of the purposes listed herein • RECREATION: Trips to recreational destinations such
      as parks and swimming pools • REGION_DEPARTURE: Trips by visitors to a port-of-exit, such as an
      airport, or major train station • SCHOOL: Trips to schools such as community colleges and universities
      • SHOP: Trips to stores and other commercial centers • SOCIAL: Trips for social activities • STAGE:
      Trips made by non-residents that start and end outside the region • WORK: Trips where the destination
      is the person''s workplace'
  - name: timezone
    content_type: String
    sample_value: America/Los_Angeles
    description: Timezone of the trip’s start location, using standard tz naming conventions.
  - name: start_time
    content_type: Time
    sample_value: 2019-01-10 06:08:00 America/Los_Angeles
    description: Date and 24-hour time of trip start, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: start_local_hour
    content_type: Integer
    sample_value: '12'
    description: Hour of day that the trip started, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: end_time
    content_type: Time
    sample_value: 2019-01-10 07:11:04 America/Los_Angeles
    description: Date and 24-hour time of trip end, reported as yyyy-mm-dd hh:mm:ss timezone.
  - name: end_local_hour
    content_type: Integer
    sample_value: '14'
    description: Hour of day that the trip ended, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: duration_minutes
    content_type: Integer
    sample_value: '63'
    description: Duration of trip in minutes, calculated as the difference between the trip start_time
      and end_time.
  - name: distance_miles
    content_type: Float
    sample_value: '10.79997335'
    description: Distance in miles measured along the trip route.
  - name: transit_route_ids
    content_type: String
    sample_value: Capital Metro:803
    description: The ID of the transit route used for a trip. Only applies to trips with mode as “PUBLIC_TRANSIT.”
      Transit Agency name and Route ID pulled from agency’s GTFS feed.
  - name: network_link_ids
    content_type: String
    sample_value: '10541610554341416382'
    description: Unique ID assigned to the link (road segment) that the trip is associated with.
  - name: vehicle_type
    content_type: String (Len 20)
    description: NULL for this table
  - name: vehicle_fuel_type
    content_type: STRING
    description: NULL for this table
  - name: vehicle_fuel_technology
    content_type: String
    description: NULL for this table
  - name: origin_bgrp
    content_type: String(Len 12)
    sample_value: '410510010004'
    description: The US Census Bureau-assigned FIPS code of the block group from which the trip originated.
  - name: origin_bgrp_lat
    content_type: Float
    sample_value: '45.492294'
    description: Latitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: origin_bgrp_lng
    content_type: Float
    sample_value: '-122.65334'
    description: Longitude of the geometric centroid for the origin block group, reported in decimal degrees,
      WGS 84.
  - name: destination_bgrp
    content_type: String (Len 12)
    sample_value: '410510079001'
    description: US Census Bureau-assigned FIPS of the block group in which the trip ended.
  - name: destination_bgrp_lat
    content_type: Float
    sample_value: '45.557407'
    description: Latitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: destination_bgrp_lng
    content_type: Float
    sample_value: '-122.54931'
    description: Longitude of the geometric centroid for the destination block group, reported in decimal
      degrees, WGS 84.
  - name: origin_land_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary land use category of the trip origin. Valid values are: • residential •
      commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: origin_land_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary land use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_land_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary land use category of the trip destination. Valid values are: • residential
      • commercial • mixed_use • industrial • civic_institutional • transportation_utilities • open space
      • agriculture • other • unknown'
  - name: destination_land_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary land use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: origin_building_use_l1
    content_type: String
    sample_value: residential
    description: 'The primary building use category of the trip origin. Valid values are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: origin_building_use_l2
    content_type: String
    sample_value: single_family
    description: 'The secondary building use category of the trip origin. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: destination_building_use_l1
    content_type: String
    sample_value: commercial
    description: 'The primary building use category of the trip destination. Valid values are: • residential
      • commercial • industrial • civic_institutional • transportation_utilities • open space • agriculture
      • other • unknown'
  - name: destination_building_use_l2
    content_type: String
    sample_value: non_retail_attraction
    description: 'The secondary building use category of the trip destination. Valid values are: • single_family
      • multi_family • office • retail • non_retail_attraction • education • healthcare • military • civic_institutional
      • ​​transportation_utilities • open_space • agriculture • other • unknown'
  - name: trip_type
    content_type: String
    sample_value: II
    description: 'Indicates whether or not the trip started or ended inside or outside of the core model
      region. Valid values are: • II: core > core region • IE: core > donut region • EI: donut region
      > core region • EE: donut region > donut region'
  - name: agency_name
    content_type: String
    sample_value: VTA
    description: Agency name pulled from agency GTFS feed of target modeled season.
  - name: route_color
    content_type: String
    sample_value: '# AA60BF'
    description: Route color pulled from agency GTFS feed of target modeled season. This hexademical code
      represents the color used in public facing material.
  - name: route_id
    content_type: String
    sample_value: VTA:900
    description: 'Concatenation of: • agency_name • route_id Pulled from agency GTFS feed of target season.'
  - name: route_long_name
    content_type: String
    sample_value: OHLONE/CHYNOWETH-ALMADEN
    description: Long name of route pulled from agency GTFS feed of target modeled season.
  - name: route_short_name
    content_type: String
    sample_value: '900'
    description: Short name of route pulled from agency GTFS feed of target modeled season.
  - name: route_type
    content_type: integer
    sample_value: '1'
    description: Route type pulled from agency GTFS feed of target modeled season, using the google GTFS
      specifications incremented by one by account for an unknown type. For instance, route_type "3" corresponds
      to rail and route_type "4" corresponds to bus.
- key: turning-movement-counts-tmcs
  title: Turning Movement Counts
  status: active
  docs: https://documentation.replicahq.com/docs/turning-movement-counts-tmcs
  docs_updated: '2025-11-13'
  field_count: 15
  fields:
  - name: intersection_id
    content_type: String
    sample_value: 61.5522_-149.5329
    description: Unique ID of the intersection.
  - name: intersection_id_geom
    content_type: Geography
    sample_value: POINT(-149.5329 61.5522)
    description: Lat-long of the intersection in WKT POINT() format.
  - name: turn_maneuver
    content_type: String
    sample_value: through
    description: Maneuver at the intersection, such as left, right, through, u-turn.
  - name: movement_direction
    content_type: String
    sample_value: S_to_W
    description: Start to end compass direction.
  - name: inbound_direction
    content_type: String
    sample_value: E
    description: Inbound compass direction.
  - name: inbound_heading
    content_type: Integer
    sample_value: '87'
    description: Heading of the inbound road described as degrees from north (0-360).
  - name: turning_movement
    content_type: String
    sample_value: NBL
    description: Turning movement as 'NBL' or 'NBT'.
  - name: state
    content_type: String
    sample_value: AK
    description: US state abbreviation indicating location of intersection.
  - name: inbound_stable_edge_id
    content_type: String
    sample_value: '10908660954266870460'
    description: A unique identifier for the network link.
  - name: inbound_street_name
    content_type: String
    sample_value: Kenai Spur Highway
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: outbound_osm_id
    content_type: String
    sample_value: '792610357'
    description: A unique identifier for the OSM way or supersegment ID. Can be converted to a set of
      stable edge IDs.
  - name: outbound_street_name
    content_type: String
    sample_value: West Dimond Boulevard
    description: The common name of the network link if available. Matches the name assigned by OpenStreetMap.
  - name: hour
    content_type: Integer
    sample_value: '12'
    description: Hour of day that the trip started, reported in the local time zone in 24-hour time format.
      Values in this field range between 0 and 23.
  - name: day
    content_type: String
    sample_value: MON
    description: Day of the week
  - name: count
    content_type: Integer
    sample_value: '522'
    description: TMC counts scaled from observed numbers to match total volumes along network links.
- key: weekly-spend-by-merchant-location
  title: '[Discontinued] Weekly Spend (by merchant location)'
  status: discontinued
  docs: https://documentation.replicahq.com/docs/weekly-spend-by-merchant-location
  docs_updated: '2025-11-13'
  field_count: 5
  fields:
  - name: geo_id
    content_type: Integer
    sample_value: '36005014100'
    description: The GEOID of the corresponding row's geography, as defined by the US Census Bureau.
  - name: geo_name
    content_type: String
    sample_value: 141 (Bronx, NY)
    description: The name corresponding to the row’s geography, as defined by the US Census Bureau or
      specified by the user.
  - name: week/month_starting
    content_type: Date
    sample_value: '2022-06-13'
    description: The first day of the week (Saturday) or month of the corresponding row’s data, depending
      on whether monthly or weekly data was selected.
  - name: population
    content_type: Integer
    sample_value: '5756'
    description: The total population in the geography selected.
  - name: category_spend_total
    content_type: Float
    sample_value: '42157.48438'
    description: 'The total consumer spend in ": { " in a given week across the following categories:
      • Airline/hospitality/car rental • Entertainment/recreation • Gas stations/parking/taxis/tolls •
      Grocery stores • Restaurants/bars • Retail Note: Spend by merchant estimates only include in-person
      spending.'