Qatar QA: Imports: Lead Time: Documentary Compliance

2014 - 2017 | Yearly | Hour | World Bank

Qatar QA: Imports: Lead Time: Documentary Compliance data was reported at 72.000 Hour in 2017. This stayed constant from the previous number of 72.000 Hour for 2016. Qatar QA: Imports: Lead Time: Documentary Compliance data is updated yearly, averaging 72.000 Hour from Dec 2014 (Median) to 2017, with 4 observations. The data reached an all-time high of 72.000 Hour in 2017 and a record low of 72.000 Hour in 2017. Qatar QA: Imports: Lead Time: Documentary Compliance data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Qatar – Table QA.World Bank: Trade Statistics. Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Time is measured in hours, and 1 day is 24 hours (for example, 22 days are recorded as 22 × 24 = 528 hours). If customs clearance takes 7.5 hours, the data are recorded as is. Alternatively, suppose that documents are submitted to a customs agency at 8:00 a.m., are processed overnight and can be picked up at 8:00 a.m. the next day. In this case the time for customs clearance would be recorded as 24 hours because the actual procedure took 24 hours. Data are presented for the survey year instead of publication year.

View Qatar's Qatar QA: Imports: Lead Time: Documentary Compliance from 2014 to 2017 in the chart:

Qatar Qatar QA: Imports: Lead Time: Documentary Compliance

What was Qatar's Qatar QA: Imports: Lead Time: Documentary Compliance in 2017?

Last Previous Min Max Unit Frequency Range
72.00 2017 72.00 2016 72.00 2017 72.00 2017 Hour yearly 2014 - 2017

Related Indicators for Qatar QA: Imports: Lead Time: Documentary Compliance

Accurate Macro & Micro Economic Data You Can Trust

Explore the most complete set of 6.6 million time series covering more than 200 economies, 20 industries and 18 macroeconomic sectors.

Learn more about what we do

Qatar Key Series

National Accounts Last Frequency Range
Forecast: GDP PPP Per Capita (PPP Intl $) 154,263.010 2027 yearly 1980 - 2027
Forecast: Nominal GDP Per Capita (USD) 107,607.819 2028 yearly 1980 - 2028
Forecast: Real GDP Growth (%) 3.578 2028 yearly 1980 - 2028
GDP Deflator Growth (%) 25.3 Sep 2022 quarterly Mar 2012 - Sep 2022
GDP per Capita (USD) 65,274.725 2021 yearly 2000 - 2021
Gross National Product (GNP) (USD mn) 227,481.667 2022 yearly 1970 - 2022
Gross Savings Rate (%) 66.3 Dec 2022 quarterly Mar 2013 - Dec 2022
Investment: % of GDP (%) 29.9 Sep 2022 quarterly Mar 2013 - Sep 2022
Nominal GDP (USD mn) 62,753.6 Sep 2022 quarterly Mar 2010 - Sep 2022
Nominal GDP Growth (%) -10.389 Dec 2023 quarterly Mar 2012 - Dec 2023
Private Consumption Expenditure (USD mn) 12,296.333 Dec 2022 quarterly Mar 2013 - Dec 2022
Private Consumption: % of GDP (%) 20.6 Dec 2022 quarterly Mar 2013 - Dec 2022
Public Consumption Expenditure (USD mn) 7,808.533 Dec 2022 quarterly Mar 2013 - Dec 2022
Public Consumption: % of GDP (%) 13.1 Dec 2022 quarterly Mar 2013 - Dec 2022
Real GDP Growth (%) -0.0 Dec 2023 quarterly Mar 2012 - Dec 2023
Total Trade of Goods & Services: % of Nominal GDP (%) 92.001 Sep 2023 quarterly Mar 2013 - Sep 2023
Gross Fixed Capital Formation (USD mn) 72,289.950 2022 yearly 1994 - 2022
Production Last Frequency Range
Industrial Production Index Growth (%) -11.2 Mar 2017 monthly Jan 1958 - Mar 2017
Minerals Production (Metric Ton) 211,554,395.000 2022 yearly 2009 - 2022
Government and Public Finance Last Frequency Range
Consolidated Fiscal Balance: % of GDP (%) 0.7 Dec 2023 quarterly Mar 2011 - Dec 2023
Forecast: Government Expenditure (QAR bn) 249.083 2028 yearly 1990 - 2028
Forecast: Government Net Debt (QAR bn) 346.453 2028 yearly 1990 - 2028
Forecast: Government Revenue (QAR bn) 343.667 2028 yearly 1990 - 2028
Government Debt: % of GDP (%) 15.0 2012 yearly 2006 - 2012
National Government Debt (USD mn) 26,518.7 2012 yearly 2003 - 2012
Consolidated Fiscal Balance (USD mn) 705.220 Jun 2024 quarterly Mar 2011 - Jun 2024
Demographic and Labour Market Last Frequency Range
Employed Persons (Person) 2,179,447.000 2023 yearly 2006 - 2023
Forecast: Population (Person mn) 2.489 2028 yearly 1980 - 2028
Forecast: Unemployment Rate (%) 0.000 yearly -
Labour Force Participation Rate (%) 87.7 2023 yearly 2006 - 2023
Labour Productivity Growth (%) -1.09 2023 yearly 2012 - 2023
Monthly Earnings (USD) 3,444 2023 yearly 2006 - 2023
Population (Person mn) 2.8 2020 yearly 1984 - 2020
Unemployment Rate (%) 0.10 2019 yearly 1997 - 2019
Domestic Trade and Household Survey Last Frequency Range
Household Expenditure per Capita (USD) 15,978.396 2013 yearly 1983 - 2013
Household Income per Capita (USD) 24,999.462 2013 yearly 1988 - 2013
Motor Vehicle Sales: Commercial Cars (Unit) 7,871.000 2019 yearly 2005 - 2019
Motor Vehicle Sales: Passenger Cars (Unit) 39,679.000 2019 yearly 2005 - 2019
Motor Vehicles Sales (Unit) 47,550 2019 yearly 2005 - 2019
Motor Vehicles Sales Growth (%) 0.1 2019 yearly 2006 - 2019
Retail Sales Growth (%) 6.9 2021 yearly 1987 - 2021
Consumer Confidence Growth (% Point) -4.1 Mar 2023 quarterly Sep 2014 - Mar 2023
Number of Registered Vehicles (Unit) 1,787,996 2022 yearly 1985 - 2022
Consumer Confidence: Net Balance (% Point) 84.5 Mar 2020 quarterly Sep 2013 - Mar 2020

More Indicators for Qatar

Request a demo of CEIC

CEIC’s economic databases cover over 200 global markets. Our Platform offers the most reliable macroeconomic data and advanced analytical tools.

Request a demo
Please note, product demos are not available for students. Please click here to find out more about the version of CEIC available for student users.
Unlimited access tailored to your data needs
Flexible monthly access to CEIC data