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Transport > Airports > With unpaved runways Stats: compare key data on Colombia & Thailand

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Definitions

  • 1,524 to 2,437 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.
  • 1,524 to 2,437 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.
  • 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.
  • 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 > 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.
  • Over 3047 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.
  • Over 3047 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.
  • 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.
  • 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 capita: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces) Per capita figures expressed per 1 million population.
  • 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.
  • 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 Colombia Thailand HISTORY
1,524 to 2,437 m 25
Ranked 14th. 25 times more than Thailand
1
Ranked 113th.

1,524 to 2,437 m per million people 0.546
Ranked 46th. 37 times more than Thailand
0.0148
Ranked 115th.

1524 to 2437 m > Per $ GDP 257.66 per $1 trillion of GDP
Ranked 48th. 53 times more than Thailand
4.85 per $1 trillion of GDP
Ranked 105th.

914 to 1,523 m 201
Ranked 8th. 20 times more than Thailand
10
Ranked 75th.

914 to 1,523 m per million people 4.39
Ranked 39th. 30 times more than Thailand
0.148
Ranked 143th.

914 to 1523 m > Per $ GDP 2,024.5 per $1 trillion of GDP
Ranked 46th. 28 times more than Thailand
72.73 per $1 trillion of GDP
Ranked 119th.

914 to 1523 m > Per capita 4.87 per 1 million people
Ranked 45th. 25 times more than Thailand
0.194 per 1 million people
Ranked 86th.

Over 3047 m > Per $ GDP 7.36 per $1 trillion of GDP
Ranked 17th. 30% more than Thailand
5.67 per $1 trillion of GDP
Ranked 21st.
Over 3047 m > Per capita 0.023 per 1 million people
Ranked 21st. 44% more than Thailand
0.016 per 1 million people
Ranked 24th.
Total 715
Ranked 8th. 19 times more than Thailand
38
Ranked 73th.

Total > Per $ GDP 6,500.49 per $1 trillion of GDP
Ranked 41st. 32 times more than Thailand
203.64 per $1 trillion of GDP
Ranked 128th.

Under 914 m 488
Ranked 5th. 19 times more than Thailand
26
Ranked 59th.

Under 914 m > Per $ GDP 4,210.96 per $1 trillion of GDP
Ranked 32nd. 33 times more than Thailand
126.06 per $1 trillion of GDP
Ranked 121st.

Under 914 m > Per capita 13.07 per 1 million people
Ranked 35th. 32 times more than Thailand
0.403 per 1 million people
Ranked 86th.

Under 914 m per million 13.13
Ranked 28th. 32 times more than Thailand
0.407
Ranked 135th.

Total > Per capita 18.73 per 1 million people
Ranked 45th. 31 times more than Thailand
0.612 per 1 million people
Ranked 103th.

1524 to 2437 m > Per capita 0.766 per 1 million people
Ranked 42nd. 51 times more than Thailand
0.015 per 1 million people
Ranked 66th.

Total per million 18.82
Ranked 34th. 30 times more than Thailand
0.617
Ranked 159th.

SOURCES: 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 Factbooks 18 December 2003 to 28 March 2011; 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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