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Transport > Airports > With unpaved runways Stats: compare key data on Lithuania & Philippines

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 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.
  • 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.
  • 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.
  • 1524 to 2437 m: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway
STAT Lithuania Philippines HISTORY
1524 to 2437 m > Per $ GDP 33.57 per $1 trillion of GDP
Ranked 86th.
42.76 per $1 trillion of GDP
Ranked 84th. 27% more than Lithuania

1524 to 2437 m per million 0.586
Ranked 42nd. 10 times more than Philippines
0.0583
Ranked 82nd.
914 to 1,523 m 2
Ranked 138th.
56
Ranked 22nd. 28 times more than Lithuania

914 to 1,523 m per million people 0.569
Ranked 96th. 7% more than Philippines
0.53
Ranked 102nd.

914 to 1523 m 5
Ranked 86th.
68
Ranked 17th. 14 times more than Lithuania
914 to 1523 m > Per $ GDP 100.7 per $1 trillion of GDP
Ranked 111th.
590.09 per $1 trillion of GDP
Ranked 73th. 6 times more than Lithuania

914 to 1523 m > Per capita 0.839 per 1 million people
Ranked 93th. 20% more than Philippines
0.702 per 1 million people
Ranked 65th.

914 to 1523 m per million 1.46
Ranked 64th. 85% more than Philippines
0.792
Ranked 82nd.
Total 39
Ranked 72nd.
158
Ranked 24th. 4 times more than Lithuania

Total > Per $ GDP 1,913.34 per $1 trillion of GDP
Ranked 79th. 29% more than Philippines
1,479.5 per $1 trillion of GDP
Ranked 88th.

Total > Per capita 15.94 per 1 million people
Ranked 51st. 9 times more than Philippines
1.8 per 1 million people
Ranked 75th.

Under 914 m 36
Ranked 49th.
99
Ranked 21st. 3 times more than Lithuania

Under 914 m > Per $ GDP 1,779.07 per $1 trillion of GDP
Ranked 54th. 2 times more than Philippines
846.65 per $1 trillion of GDP
Ranked 81st.

Under 914 m > Per capita 14.82 per 1 million people
Ranked 30th. 14 times more than Philippines
1.05 per 1 million people
Ranked 63th.

Under 914 m per million 15.52
Ranked 25th. 15 times more than Philippines
1.06
Ranked 104th.

1524 to 2437 m > Per capita 0.294 per 1 million people
Ranked 78th. 7 times more than Philippines
0.043 per 1 million people
Ranked 63th.

Total per million 16.73
Ranked 39th. 9 times more than Philippines
1.81
Ranked 119th.

1524 to 2437 m 2
Ranked 72nd.
5
Ranked 46th. 3 times more than Lithuania

SOURCES: CIA World Factbooks 18 December 2003 to 28 March 2011; 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 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 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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