The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

FAF domestic region level datasets and products provide information for states, state portions of large metropolitan areas, and remainders of states. Metropolitan areas consist of Metropolitan Statistical Areas or Consolidated Statistical Areas as defined by the Office of Management and Budget. When a metropolitan area is entirely within a state or when a state's portion of a multi-state metropolitan area is large enough to support the sampling procedures in the Commodity Flow Survey, the area becomes a separate FAF region. Small single-state metropolitan areas and small portions of a multi-state metropolitan area are part of the State or Remainder of State. FAF has two metropolitan areas that are each divided into three FAF regions, four that are each divided into two FAF regions, and several that have small pieces combined with States or Remainders of States.

© United States Department of Transportation, Federal Highway Administration. For more information, see the site http://www.ops.fhwa.dot.gov/freight/freight_analysis/faf/faf3/userguide/index.htm This layer is sourced from maps.bts.dot.gov.

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

Faf

## Overview

Faf is a dataset for object detection tasks - it contains Afaf annotations for 799 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The Freight Analysis Framework (FAF5) - Network Nodes dataset was created from 2017 base year data and was published on April 11, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The FAF (Version 5) Network Nodes contains 348,498 node features. All node features are topologically connected to permit network pathbuilding and vehicle assignment using a variety of assignment algorithms. The FAF Node and the FAF Link datasets can be used together to create a network. The link features in the FAF Network dataset include all roads represented in prior FAF networks, and all roads in the National Highway System (NHS) and the National Highway Freight Network (NHFN) that are currently open to traffic. Other included links provide connections between intersecting routes, and to select intermodal facilities and all U.S. counties. The network consists of over 588,000 miles of equivalent road mileage. The dataset covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1528011

The Freight Analysis Framework (FAF5) - Network Nodes dataset was created from 2017 base year data and was published on April 11, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The FAF (Version 5) Network Nodes contains 348,498 node features. All node features are topologically connected to permit network pathbuilding and vehicle assignment using a variety of assignment algorithms. The FAF Node and the FAF Link datasets can be used together to create a network. The link features in the FAF Network dataset include all roads represented in prior FAF networks, and all roads in the National Highway System (NHS) and the National Highway Freight Network (NHFN) that are currently open to traffic. Other included links provide connections between intersecting routes, and to select intermodal facilities and all U.S. counties. The network consists of over 588,000 miles of equivalent road mileage. The dataset covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. A data dictionary, or other source of attribute information, is accessible at https://res1doid-o-torg.vcapture.xyz/10.21949/1528011

The Freight Analysis Framework (FAF), produced through a partnership between BTS and FHWA, integrates data from various sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. The 2017 Commodity Flow Survey (CFS) and international trade data from the Census Bureau serve as the backbone of FAF and are integrated with ancillary data sources that capture goods movement in agriculture, resource extraction, utility, construction, retail, services, and other sectors.The current version of FAF5 (FAF5.3) provides estimates for tonnage (unit: thousand tons), value (unit: million dollars), and ton-miles (unit: million ton-miles) by origin-destination pair of FAF regions, commodity type, and mode for the base year (2017), the recent years (2018 - 2019), the forecast year estimates (2020 - 2050), and the state level historical trend estimates (1997-2012). The information may be accessed through the Data Tabulation Tool and downloaded as either a complete database or in summary files.This dataset represents the FAF5 network and has been subset to the greater Chattanooga region.

From https://www.bts.gov/faf:The Freight Analysis Framework (FAF) database provides estimates of US freight flows. The FAF provides data for states and metropolitan areas. Flows include all modes of transportation and 42 commodity types. The Bureau of Transportation Statistics (BTS) produces the FAF with support from the Federal Highway Administration (FHWA). BTS builds FAF with data from many sources. Inputs include the Commodity Flow Survey (CFS), foreign trade data, and data from agriculture, extraction, utility, construction, service, and other sectors.FAF5 includes three types of freight flows: weight, value and activity. The FAF provides weight in thousands of tons, value in millions of 2017 constant dollars, and activity in millions of ton-miles. Users can download .csv and Microsoft Access files below.The latest version of FAF (FAF5.6.1) provides estimates of weight, value, and activity by origin and destination regions, commodity type, and mode for:* Base year (2017)* Annual estimates (2018–2022)* Preliminary annual estimates (2023)* Forecast year estimates (2025–2050)* State-level historical trend estimates (1997–2012)* Experimental county-to-county estimates (2022) – the recently released experimental product (county-level flows) and documentationThe experimental county-to-county estimates are uploaded separately at https://www.datalumos.org/datalumos/project/231661/version/V1/view.From https://ops.fhwa.dot.gov/freight/freight_analysis/faf/:The Freight Analysis Framework (FAF), produced through a partnership between Bureau of Transportation Statistics (BTS) and Federal Highway Administration (FHWA), integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. Starting with data from the 2017 Commodity Flow Survey (CFS) and international trade data from the Census Bureau, FAF version 5 (FAF5) incorporates data from agriculture, extraction, utility, construction, service, and other sectors.The FAF5 provides estimates for tonnage and value by regions of origin and destination, commodity type, and mode for base year 2017 and a 30- year forecasts. FAF5 forecasts provide a range of future freight demands at five-year increments representing three different economic growth scenarios, through 2050, by various modes of transportation.

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

The Freight Analysis Framework (FAF5) - Regions dataset was created from 2017 base year data and was published on April 11, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The 2017 Commodity Flow Survey (CFS) contains 132 zones for U.S. domestic regions, which are directly carried over to the geography definitions for the FAF (Version 5) Regions. These geographic areas can be classified as one of the following three types: (1) Metropolitan Area (MA): The state part of a selected metropolitan statistical area (MSA) or combined statistical area (CSA). (2) The Remainder of State (ROS): The portion of a state containing the counties that are not included in the MA type CFS Areas defined above. (3) Whole State: An entire state where no MA type CFS Areas are defined within the state. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529028

First American Financial current price/book ratio as of June 30, 2025 is 1.25. First American Financial average price/book ratio for 2024 was 1.24, a 4.2% increase from 2023. First American Financial average price/book ratio for 2023 was 1.19, a 13.33% increase from 2022. First American Financial average price/book ratio for 2022 was 1.05, a 10.26% increase from 2021. Price/book ratio can be defined as

From https://www.bts.gov/faf/county:The Freight Analysis Framework (FAF) database provides estimates of the weight and value of shipments throughout the United States for all commodity types and forms of transportation using a geographic system of 132 FAF zones. The Bureau of Transportation Statistics (BTS) developed an experimental county-to-county commodity flow product to provide the user community with more geographically granular commodity flow data to support planning, policymaking, and operational decisions at the state and local levels. Users can download state-specific files or the entire set of disaggregation factors to create customized queries. This experimental product provides flows for five commodity groups and five mode categories (see documentation for more details). BTS welcomes users to email FAF@dot.gov with feedback on this experimental product.The state FIPS code is also shown next to the state. Each zip file contains four tables with 1) county-level OD flows for the state of interest and every adjacent state, 2) county-to-FAF OD flows from the multi-state area to all other FAF zones, 3) FAF-to-county OD flows from all other FAF zones to the multi-state area, and 4) FAF-to-FAF OD flows from all other FAF zones to all other FAF zones. The files use county-level geography for the state of interest and states adjacent to this state. FAF zones represent flows outside of this area.The main Freight Analysis Framework files are loaded to Data Lumos separately here: https://www.datalumos.org/datalumos/project/231642/version/V1/view. Additional documentation is available at that link.The faf5_county_readme.txt and faf5_county_readme.xlsx were created for this upload and were not created by the DOT. The direct url to download each state-level dataset is in faf5_county_readme.xlsx.

Description of the data and file structureSynthetic dataset containing 100 Fundus Auto Fluorescence (FAF) images from each of 10 genes which includes (ABCA4, BEST1, EFEMP1, EYS, MYO7A, PRPH2, RPGR, RS1, TIMP3 and USH2A). These images were generated by the SynthEye algorithm (https://www.ophthalmologyscience.org/article/S2666-9145(22)00147-6/fulltext).Files and variablesFile: syntheye100_synthetic_faf.zipDescription: Each foldercorresponds to a gene name (ABCA4, BEST1, EFEMP1, EYS, MYO7A, PRPH2, RPGR, RS1, TIMP3 and USH2A). Each folder contains 100 synthetic Fundus Auto Fluorescence images generated by the SynthEye algorithm (https://www.ophthalmologyscience.org/article/S2666-9145(22)00147-6/fulltext).Code/softwareNo software is needed to view the data. The images were generated by SynthEye (https://www.ophthalmologyscience.org/article/S2666-9145(22)00147-6/fulltext). The code base for SynthEye can be found here: https://github.com/pontikos-lab/syntheyeHuman subjects dataThis data is synthetic data. It is therefore not identifiable.

The Freight Analysis Framework (FAF5) - Network Links dataset was created from 2017 base year data and was published on April 11, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The FAF (Version 5) Network contains 487,384 link features. All link features are topologically connected to permit network pathbuilding and vehicle assignment using a variety of assignment algorithms. The FAF Link and the FAF Node datasets can be used together to create a network. The link features include all roads represented in prior FAF networks, and all roads in the National Highway System (NHS) and the National Highway Freight Network (NHFN) that are currently open to traffic. Other included links provide connections between intersecting routes, and to select intermodal facilities and all U.S. counties. The network consists of over 588,000 miles of equivalent road mileage. The dataset covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. A data dictionary, or other source of attribute information, is accessible at https://res1doid-o-torg.vcapture.xyz/10.21949/1529027

First American Financial pre-tax profit margin for the quarter ending March 31, 2025 was 3.26%. First American Financial average pre-tax profit margin for 2024 was 3.29%, a 24.19% decline from 2023. First American Financial average pre-tax profit margin for 2023 was 4.34%, a 57.41% decline from 2022. First American Financial average pre-tax profit margin for 2022 was 10.19%, a 39.63% decline from 2021. Pre-tax profit margin can be defined as earnings before taxes as a portion of total revenue.

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

FAF Zones of concern were created to display areas that may be problematic for fire fighters, and for home owners to know the risks near or on their property or subdivision. The zones were created based on vegetation structure and access. This data has not been updated i recent years. It is still relevant but has not taken into account new construction for the past 10 years in the Fairbanks North Star Borough.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

This polygon shapefile contains United States freight analysis framework (FAF) regions. FAF domestic region level datasets and products provide information for states, state portions of large metropolitan areas and remainders of states. Metropolitan areas consist of Metropolitan Statistical Areas or Consolidated Statistical Areas as defined by the Office of Management and Budget. When a metropolitan area is entirely within a state or when a state's portion of a multi-state metropolitan area is large enough to support the sampling procedures in the Commodity Flow Survey, the area becomes a separate FAF region. Small single-state metropolitan areas and small portions of a multi-state metropolitan area are part of the State or Remainder of State. FAF has two metropolitan areas that are each divided into three FAF regions, four that are each divided into two FAF regions, and several that have small pieces combined with States or Remainders of States. This layer is part of the 2014 National Transportation Atlas Database.