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

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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.
  • 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.
  • 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 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.
  • 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.
  • 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: Total number of airports with useable unpaved runways (grass, dirt, sand, or gravel surfaces), categorised according to the length of the longest runway
STAT Latvia Philippines HISTORY
1524 to 2437 m > Per $ GDP 49.71 per $1 trillion of GDP
Ranked 82nd. 16% more than Philippines
42.76 per $1 trillion of GDP
Ranked 84th.

1524 to 2437 m > Per capita 0.437 per 1 million people
Ranked 60th. 10 times more than Philippines
0.043 per 1 million people
Ranked 63th.

1524 to 2437 m per million 0.869
Ranked 28th. 15 times more than Philippines
0.0583
Ranked 82nd.
914 to 1523 m 1
Ranked 131st.
68
Ranked 17th. 68 times more than Latvia
914 to 1523 m > Per $ GDP 99.43 per $1 trillion of GDP
Ranked 112th.
590.09 per $1 trillion of GDP
Ranked 73th. 6 times more than Latvia

914 to 1523 m > Per capita 0.443 per 1 million people
Ranked 117th.
0.702 per 1 million people
Ranked 65th. 58% more than Latvia

914 to 1523 m per million 0.435
Ranked 99th.
0.792
Ranked 82nd. 82% more than Latvia
Total 24
Ranked 93th.
158
Ranked 24th. 7 times more than Latvia

Total > Per $ GDP 1,093.68 per $1 trillion of GDP
Ranked 93th.
1,479.5 per $1 trillion of GDP
Ranked 88th. 35% more than Latvia

Total > Per capita 9.29 per 1 million people
Ranked 69th. 5 times more than Philippines
1.8 per 1 million people
Ranked 75th.

Total per million 10.27
Ranked 57th. 6 times more than Philippines
1.81
Ranked 119th.

Under 914 m 24
Ranked 60th.
99
Ranked 21st. 4 times more than Latvia

Under 914 m > Per $ GDP 944.54 per $1 trillion of GDP
Ranked 76th. 12% more than Philippines
846.65 per $1 trillion of GDP
Ranked 81st.

Under 914 m > Per capita 8.85 per 1 million people
Ranked 52nd. 8 times more than Philippines
1.05 per 1 million people
Ranked 63th.

Under 914 m per million 10.27
Ranked 35th. 10 times more than Philippines
1.06
Ranked 104th.

1524 to 2437 m 2
Ranked 65th.
5
Ranked 46th. 3 times more than Latvia

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 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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