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Transport > Airports > With unpaved runways Stats: compare key data on Canada & Denmark

Definitions

  • 1524 to 2437 m > Per $ GDP: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway Per $ GDP figures expressed per 1 trillion $ gross domestic product.
  • 1524 to 2437 m > Per capita: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway Per capita figures expressed per 1 million population.
  • 914 to 1,523 m: This entry is derived from Transport > Airports > With unpaved runways, which gives the total number of airports with unpaved runways (grass, dirt, sand, or gravel surfaces) by length. For airports with more than one runway, only the longest runway is included according to the following five groups - (1) over 3,047 m (over 10,000 ft), (2) 2,438 to 3,047 m (8,000 to 10,000 ft), (3) 1,524 to 2,437 m (5,000 to 8,000 ft), (4) 914 to 1,523 m (3,000 to 5,000 ft), and (5) under 914 m (under 3,000 ft). Only airports with usable runways are included in this listing. Not all airports have facilities for refueling, maintenance, or air traffic control. The type aircraft capable of operating from a runway of a given length is dependent upon a number of factors including elevation of the runway, runway gradient, average maximum daily temperature at the airport, engine types, flap settings, and take-off weight of the aircraft.
  • 914 to 1,523 m per million people: This entry is derived from Transport > Airports > With unpaved runways, which gives the total number of airports with unpaved runways (grass, dirt, sand, or gravel surfaces) by length. For airports with more than one runway, only the longest runway is included according to the following five groups - (1) over 3,047 m (over 10,000 ft), (2) 2,438 to 3,047 m (8,000 to 10,000 ft), (3) 1,524 to 2,437 m (5,000 to 8,000 ft), (4) 914 to 1,523 m (3,000 to 5,000 ft), and (5) under 914 m (under 3,000 ft). Only airports with usable runways are included in this listing. Not all airports have facilities for refueling, maintenance, or air traffic control. The type aircraft capable of operating from a runway of a given length is dependent upon a number of factors including elevation of the runway, runway gradient, average maximum daily temperature at the airport, engine types, flap settings, and take-off weight of the aircraft. Figures expressed per million people for the same year.
  • 914 to 1523 m: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway
  • 914 to 1523 m > Per $ GDP: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway Per $ GDP figures expressed per 1 trillion $ gross domestic product.
  • 914 to 1523 m > Per capita: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway Per capita figures expressed per 1 million population.
  • 914 to 1523 m per million: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway. Figures expressed per million population for the same year.
  • Total: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces)
  • Total > Per $ GDP: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces) Per $ GDP figures expressed per 1 trillion $ gross domestic product.
  • Total > Per capita: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces) Per capita figures expressed per 1 million population.
  • Under 914 m: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway
  • Under 914 m > Per $ GDP: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway Per $ GDP figures expressed per 1 trillion $ gross domestic product.
  • Under 914 m > Per capita: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway Per capita figures expressed per 1 million population.
  • Under 914 m per million: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway. Figures expressed per million population for the same year.
  • Total per million: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces). Figures expressed per million population for the same year.
STAT Canada Denmark HISTORY
1524 to 2437 m > Per $ GDP 52.74 per $1 trillion of GDP
Ranked 81st. 9 times more than Denmark
5.75 per $1 trillion of GDP
Ranked 93th.
1524 to 2437 m > Per capita 2.04 per 1 million people
Ranked 22nd. 11 times more than Denmark
0.186 per 1 million people
Ranked 76th.
914 to 1,523 m 385
Ranked 4th. 77 times more than Denmark
5
Ranked 110th.

914 to 1,523 m per million people 11.14
Ranked 22nd. 12 times more than Denmark
0.9
Ranked 84th.

914 to 1523 m 347
Ranked 3rd. 58 times more than Denmark
6
Ranked 80th.
914 to 1523 m > Per $ GDP 283.67 per $1 trillion of GDP
Ranked 90th. 26 times more than Denmark
10.9 per $1 trillion of GDP
Ranked 137th.

914 to 1523 m > Per capita 10.66 per 1 million people
Ranked 25th. 19 times more than Denmark
0.549 per 1 million people
Ranked 111th.

914 to 1523 m per million 10.74
Ranked 16th. 10 times more than Denmark
1.11
Ranked 73th.
Total 944
Ranked 5th. 18 times more than Denmark
52
Ranked 58th.

Total > Per $ GDP 661.63 per $1 trillion of GDP
Ranked 108th. 3 times more than Denmark
232.53 per $1 trillion of GDP
Ranked 125th.

Total > Per capita 24.98 per 1 million people
Ranked 38th. 2 times more than Denmark
11.52 per 1 million people
Ranked 62nd.

Under 914 m 484
Ranked 6th. 10 times more than Denmark
47
Ranked 41st.

Under 914 m > Per $ GDP 325.22 per $1 trillion of GDP
Ranked 101st. 47% more than Denmark
221.63 per $1 trillion of GDP
Ranked 107th.

Under 914 m > Per capita 12.28 per 1 million people
Ranked 38th. 12% more than Denmark
10.97 per 1 million people
Ranked 43th.

Under 914 m per million 12.89
Ranked 30th. 17% more than Denmark
11
Ranked 33th.

Total per million 26.08
Ranked 27th. 2 times more than Denmark
11.54
Ranked 50th.

SOURCES: CIA World Factbooks 18 December 2003 to 28 March 2011; CIA World Factbooks 2010, 2011, 2012, 2013; CIA World Factbooks 2010, 2011, 2012, 2013. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; CIA World Factbook, 28 July 2005; CIA World Factbook, 28 July 2005. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; CIA World Factbooks 18 December 2003 to 28 March 2011. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

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