Objetivos de Desarrollo Sostenible - 17 Metas para transformar nuestro mundo
Industria, Innovación e Infraestructura - Meta 9

Construir infraestructuras resilientes, promover la industrialización inclusiva y sostenible y fomentar la innovación

Indicador 9.1.2: Volumen de transporte de pasajeros y carga, desglosado por medio de transporte

  1. Inicio
  2. Meta 9
  3. Indicador 9.1.2

US Passenger-Kilometers by Air in Millions

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Headline data

Year Value
2000 829775
2001 782956
2002 778157
2003 813687
2004 898327
2005 939489
2006 947052
2007 977779
2008 938717
2009 887941
2010 908788
2011 926359
2012 934226
2013 949018
2014 978114
2015 1033047
2016 0
2017 0

Esta tabla proporciona metadatos para el indicador real disponible a partir de las estadísticas de US más cercanas al correspondiente indicador global de SDG. Tenga en cuenta que incluso cuando el indicador global de ODS esté totalmente disponible a partir de las estadísticas de US, se debe consultar esta tabla para obtener información sobre la metodología nacional y otra información de metadatos específicos de US.

Actual indicator available Passenger Data: Passenger-kilometers by mode in millions; Freight Data - Metric tonnage of freight shipments by mode in millions.
Actual indicator available - description Passenger Data: Number of passengers multiplied by number of kilometers traveled; Freight Data: Tonnage of total freight shipped
Date of national source publication Passenger - July 2017, Freight - April 2017
Method of computation Passenger data – number of passengers multiplied by the distance traveled. Freight data – the Freight Analysis Framework incorporates data from the 2012 Commodity Flow Survey, Transborder Freight Data, Foreign Trade Statistics, and a combination of sources for individual sectors including agriculture, energy extraction, construction, and other sectors. Both passenger and freight data have been converted to metric units.
Periodicity Annual and monthly data
Scheduled update by national source Passenger - July 2018, Freight - Not currently scheduled
U.S. method of computation
Comments and limitations Rail passenger-kilometer data are Amtrak only. Commuter rail, light rail and subways are included under transit. Amtrak data are a sum of the passenger-kilometer data for the twelve months of each calendar year. Air passenger-kilometer data are for certified air carriers in domestic service.
Date metadata updated October 2017
Disaggregation geography United States - Passenger data includes travel in the United States. Freight data includes domestic shipments and the U.S. portion of foreign shipments.
Unidad de medida Passenger-kilometers, metric tonnes
Disaggregation categories Mode of transportation
International and national references Passenger Data – http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/publications/national_transportation_statistics/html/table_01_40_m.html Freight Data – http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/subject_areas/freight_transportation/faf
Time period Passenger Data: 2000-2015 passenger data (other than Amtrak data), 2000-2016 Amtrak data; Freight Data: 2007 and 2012-2015
Scheduled update by SDG team

Esta tabla proporciona información sobre los metadatos para los indicadores de los ODS tal como los define la Comisión de Estadística de la ONU. La División de Estadística de las Naciones Unidas proporciona los metadatos globales completos .

Nombre del indicador Passenger and freight volumes, by mode of transport
Nombre de destino Develop quality, reliable, sustainable and resilient infrastructure, including regional and trans-border infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all.
Descripción del indicador global Average parcel shipping time/parcel shipping time standards, by country, both for domestic and international parcel services, and by product: this is the level of reliability of domestic or international parcel delivery services and for different products exchanged between countries. This ratio is determined after dividing the average parcel shipping time by the standard shipping time expected for parcels delivery at the national or international level, and at the product level depending on data availability. An alternative way of computing a similar quality of service ratio would be to use the percentage of parcels actually delivered within the quality standard, i.e. within the standard for shipping times. The standard for shipping time is the expected end-to-end transit time and is often expressed as the posting day + one, two , three, four or five days depending on the country geography and distance between countries.
Nivel designado por la ONU 1
UN custodial agency ICAO, ITF-OECD (Partnering Agencies: UPU, UNEP, UNECE)
Enlace a los metadatos de la ONU Link Se abre en una nueva ventana
Organización Passenger Data – Rail: BTS reporting to the International Transport Forum derived from Amtrak monthly reports. Other modes: as cited in U.S. Department of Transportation, Bureau of Transportation Statistics, National Transportation Statistics, table 1-40M, as of October 2017 Freight Data – U.S. Department of Transportation, Bureau of Transportation Statistics and Federal Highway Administration, Freight Analysis Framework, version 4, as of October 2017.
Agency Staff Name Steven Beningo
Agency Survey Dataset Passenger Data – Rail: BTS reporting to the International Transport Forum derived from Amtrak monthly reports. Other modes: as cited in U.S. Department of Transportation, Bureau of Transportation Statistics, National Transportation Statistics, table 1-40M, as of October 2017 Freight Data – U.S. Department of Transportation, Bureau of Transportation Statistics and Federal Highway Administration, Freight Analysis Framework, version 4, as of October 2017.
Notes Passenger Data – http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/publications/national_transportation_statistics/html/table_01_40_m.html Freight Data – http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/subject_areas/freight_transportation/faf
Title
Enlace a la fuente de datos

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