The Bureau of Transportation Statistics releases seasonally adjusted air traffic data based on monthly reports from commercial U.S. air carriers.

국내선 출발, 국제선 출발+도착 기준 항공사별 공급(석), 운항(편), 여객(명),화물(톤) 항공통계 정보를 제공 합니다

소속관제기관의 교통량

Visualizations of unadjusted and seasonally adjusted transportation data.

기업이 세관에 수입 신고하는 과정에서 생산된 운임정보를 화물정보와 연계하여 항공수입 kg당 평균 운송비용을 산출·공표, 수출입 기업, 물류업계 등에서 참고자료로 활용 가능.단위는 원(KRW)/킬로그램(KG)- 정형거래조건인 FOB(Free On Board) 조건으로 수입신고 건으로 인천공항 도착 건(실제 항공운송 계약을 통한 운임이 아닌 별도 운임표를 적용하여 신고하는 등의 수입건( 특송, 우편, 항공사 자기 운송수단 수입, 자력운항 항공기, 기타 특수조건 수입(무상견품‧광고용품으로서 20만원 이하 수입물품, 계약위반‧하자보증을 위한 무상 수입물품, 여행자 휴대품, 선‧기용품 등))은 통계산출에서 제외)

Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

About Transportation Services Index The Transportation Services Index (TSI), created by the U.S. Department of Transportation (DOT), Bureau of Transportation Statistics (BTS), measures the movement of freight and passengers. The index, which is seasonally adjusted, combines available data on freight traffic, as well as passenger travel, that have been weighted to yield a monthly measure of transportation services output. For charts and discussion on the relationship of the TSI to the economy, see our Transportation as an Economic Indicator: Transportation Services Index page (https://data.bts.gov/stories/s/TET-indicator-1/9czv-tjte) For release schedule see: https://www.bts.gov/newsroom/transportation-services-index-release-schedule About seasonally-adjusted data Statisticians use the process of seasonal-adjustment to uncover trends in data. Monthly data, for instance, are influenced by the number of days and the number of weekends in a month as well as by the timing of holidays and seasonal activity. These influences make it difficult to see underlying changes in the data. Statisticians use seasonal adjustment to control for these influences. Controlling of seasonal influences allows measurement of real monthly changes; short and long term patterns of growth or decline; and turning points. Data for one month can be compared to data for any other month in the series and the data series can be ranked to find high and low points. Any observed differences are “real” differences; that is, they are differences brought about by changes in the data and not brought about by a change in the number of days or weekends in the month, the occurrence or non-occurrence of a holiday, or seasonal activity.

2012년 7월부터 매월 발행되는 항공시장 동향분석 단행본에 대한 파일정보를 제공합니다.(발행일자, 발행호수, 통권파일정보))

1989년 부터 연도별 국내선과 국제선의 통합된 항공수송실적 정보를 통계적으로 활용할 수 있도록 제공 합니다(연도, 여객,화물,운항실적)