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Transport > Airports > With unpaved runways Stats: compare key data on India & Uzbekistan

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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.
  • 2,438 to 3,047 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.
  • 2,438 to 3,047 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.
  • 2438 to 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.
  • 2438 to 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.
  • 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 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.
  • 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.
  • 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 India Uzbekistan HISTORY
1524 to 2437 m > Per $ GDP 7.72 per $1 trillion of GDP
Ranked 100th.
136.94 per $1 trillion of GDP
Ranked 71st. 18 times more than India

2,438 to 3,047 m 4
Ranked 10th. Twice as much as Uzbekistan
2
Ranked 22nd.

2,438 to 3,047 m per million people 0.00323
Ranked 42nd.
0.0672
Ranked 27th. 21 times more than India

2438 to 3047 m > Per $ GDP 1.1 per $1 trillion of GDP
Ranked 33th.
116.42 per $1 trillion of GDP
Ranked 13th. 106 times more than India

2438 to 3047 m > Per capita 0.001 per 1 million people
Ranked 44th.
0.073 per 1 million people
Ranked 19th. 73 times more than India

914 to 1523 m > Per $ GDP 46.34 per $1 trillion of GDP
Ranked 125th.
888.06 per $1 trillion of GDP
Ranked 7th. 19 times more than India

914 to 1523 m > Per capita 0.035 per 1 million people
Ranked 163th.
0.352 per 1 million people
Ranked 16th. 10 times more than India

Over 3047 m > Per capita 0.001 per 1 million people
Ranked 27th.
0.158 per 1 million people
Ranked 9th. 158 times more than India
Total 93
Ranked 37th. 5 times more than Uzbekistan
20
Ranked 107th.

Total > Per $ GDP 108.14 per $1 trillion of GDP
Ranked 136th.
1,571.74 per $1 trillion of GDP
Ranked 87th. 15 times more than India

Total > Per capita 0.085 per 1 million people
Ranked 185th.
0.765 per 1 million people
Ranked 102nd. 9 times more than India

Under 914 m 45
Ranked 42nd. 3 times more than Uzbekistan
18
Ranked 76th.

Under 914 m > Per $ GDP 52.96 per $1 trillion of GDP
Ranked 137th.
1,455.31 per $1 trillion of GDP
Ranked 63th. 27 times more than India

Under 914 m > Per capita 0.042 per 1 million people
Ranked 173th.
0.692 per 1 million people
Ranked 77th. 16 times more than India

Under 914 m per million 0.0398
Ranked 164th.
0.665
Ranked 121st. 17 times more than India

1524 to 2437 m > Per capita 0.006 per 1 million people
Ranked 125th.
0.076 per 1 million people
Ranked 111th. 13 times more than India

Total per million 0.0854
Ranked 176th.
0.735
Ranked 158th. 9 times more than India

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 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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