Airports per 1,000 Sq Km 2013
Explore airport density per 1,000 sq km; indicates transportation accessibility and regional connectivity.
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Complete Data Rankings
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #215
Monaco
- #214
Gibraltar
- #213
Nauru
- #212
Tuvalu
- #211
China, Macao SAR
- #210
Sint Maarten (Dutch part)
- #209
Saint Martin (French part)
- #208
Bermuda
- #207
San Marino
- #206
British Virgin Islands
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2013, Russia led the world in Airports per 1,000 Sq Km with a staggering value of 16,376,870, highlighting its extensive transportation infrastructure. This year saw a global range from a minimum of 260 in Saint Kitts and Nevis to Russia's maximum, providing a stark contrast in airport density. The global average was 649,484.12, illustrating significant disparities in regional connectivity and transportation accessibility.
Geographic and Economic Factors Influencing Airport Density
The vast expanse and varied geography of countries like Russia and Canada contribute to their high airport density figures, with values of 16,376,870 and 8,965,590 respectively. These countries require extensive air networks to connect remote regions, driven by the need to overcome geographical barriers. Additionally, economic capabilities play a crucial role. For instance, the United States, with a value of 9,147,420, leverages its economic prowess to maintain a robust network of airports, facilitating both domestic and international connectivity.
Conversely, smaller nations with limited land area, such as Saint Kitts and Nevis and Maldives, with values of 260 and 300, respectively, show lower densities. These countries often rely more on maritime transport due to their geographical constraints and smaller populations, reducing the necessity for numerous airports.
Impact of Urbanization on Airport Density
Urbanization significantly impacts airport density, with more urbanized nations typically requiring fewer airports per land area due to centralized economic activities. China, with 9,388,211, and India, with 2,973,190, demonstrate how large population centers necessitate concentrated airport infrastructure to manage high passenger volumes efficiently.
In contrast, countries with dispersed urban centers, such as Australia with 7,682,300, maintain numerous airports to serve isolated communities, reflecting a direct correlation between urban distribution and transportation infrastructure needs.
Year-over-Year Trends: Movers and Shakers
The year 2013 witnessed notable changes in airport density figures. Estonia experienced the most significant increase, with a rise of 1,080 (2.5%). This growth can be attributed to strategic investments in infrastructure to boost economic growth and tourism. Similarly, Germany and South Korea saw increases of 340 (0.1%) and 116 (0.1%), respectively, reflecting ongoing development in their aviation sectors.
Conversely, Cuba experienced the largest decrease, with a drop of 2,429 (-2.3%). This decline may be linked to economic challenges and a shift towards alternative transportation modes. Other countries like Vietnam and Iraq also saw reductions, with decreases of 449.66 (-0.1%) and 192 (-0.0%), respectively, possibly reflecting regional instability or economic restructuring.
Strategic Implications of Airport Density
Airport density is more than just a metric of transportation infrastructure; it is a critical indicator of a country's economic strategy and regional connectivity. High-density countries like Brazil with 8,358,140 and Argentina with 2,736,690 leverage their airport networks to facilitate trade and tourism, vital components of their economic growth. In contrast, nations with lower densities might focus on enhancing other forms of connectivity, such as road and sea transport, to meet their logistical needs.
Overall, the data from 2013 highlights not only the disparities in airport infrastructure across the globe but also the underlying economic and geographic factors that drive these differences. Understanding these patterns allows policymakers and businesses to make informed decisions about future investments in transportation infrastructure.
Frequently Asked Questions About Airports per 1,000 Sq Km in 2013
Which country had the highest airport density per 1,000 sq km in 2013?
Russia had the highest airport density per 1,000 sq km in 2013 with a value of 16,376,870.
Which country had the lowest airport density per 1,000 sq km in 2013?
Monaco had the lowest airport density per 1,000 sq km in 2013 with a value of 2.03.
What was the average airport density per 1,000 sq km across all countries in 2013?
The average airport density per 1,000 sq km across all countries in 2013 was 604,178.
What was the median airport density per 1,000 sq km in 2013?
The median airport density per 1,000 sq km in 2013 was 94,280.
How many countries were included in the dataset for airport density per 1,000 sq km in 2013?
The dataset included 215 countries for airport density per 1,000 sq km in 2013.
Which countries were in the top 3 for airport density per 1,000 sq km in 2013?
The top 3 countries for airport density per 1,000 sq km in 2013 were Russia, China, and the United States.
Insights by country
Saint Vincent and the Grenadines
In 2013, Saint Vincent and the Grenadines ranked #195 globally with 390 Airports per 1,000 Sq Km. This figure is notably higher than many larger nations, reflecting the country's small land area and the necessity for accessible air travel in an archipelagic state. The high number of airports is driven by the need to facilitate tourism and trade, which are vital to the nation's economy, as well as the geographical challenges posed by its numerous islands.
Guatemala
In 2013, Guatemala ranked #103 globally with 107160 Airports per 1,000 Sq Km. This figure is notably higher than many countries in Central America, indicating a relatively dense airport infrastructure. The high number of airports can be attributed to Guatemala's diverse geography and the need for accessible transportation in both urban and rural areas, facilitating tourism and trade in a country rich in cultural heritage and natural resources.
El Salvador
In 2013, El Salvador ranked #150 globally with 20720 Airports per 1,000 Sq Km. This figure is notably higher than many countries in the region, reflecting the country's focus on developing its aviation infrastructure to support tourism and trade. The high density of airports is driven by El Salvador's small geographic size and the government's investment in enhancing connectivity to stimulate economic growth.
Bangladesh
In 2013, Bangladesh ranked #95 globally with 130170 Airports per 1,000 Sq Km. This figure is notably high compared to many countries, reflecting the nation's dense network of air transport facilities. The extensive number of airports is driven by Bangladesh's growing economy, increasing domestic travel demand, and strategic location in South Asia, facilitating both regional connectivity and international trade.
Israel
In 2013, Israel ranked #149 globally with 21,640 Airports per 1,000 Sq Km. This figure is significantly higher than many countries, reflecting Israel's dense infrastructure relative to its small land area. The high number of airports is driven by the country's strategic location in the Middle East, its robust tourism sector, and a focus on connectivity in a region with complex geopolitical dynamics.
Angola
In 2013, Angola ranked #22 globally with 1246700 Airports per 1,000 Sq Km. This figure is significantly higher than many countries in the region, indicating a robust airport infrastructure relative to its land area. The extensive network of airports in Angola can be attributed to its vast territory and the government's focus on improving transportation links to support economic development and connectivity in a post-civil war recovery phase.
Equatorial Guinea
In 2013, Equatorial Guinea ranked #140 globally with 28050 Airports per 1,000 Sq Km. This figure is significantly higher than many countries, reflecting its small land area and the government's investment in infrastructure. The country's wealth from oil reserves has facilitated the development of numerous airports, primarily to support both domestic connectivity and international access for the oil industry.
Jamaica
In 2013, Jamaica ranked #160 globally with 10830 Airports per 1,000 Sq Km. This figure is notably higher than many countries, reflecting Jamaica's strategic focus on tourism, which is a major driver of its economy. The island's geographic characteristics, including its compact size and emphasis on air travel for both tourism and commerce, contribute to this high density of airports.
Guam
In 2013, Guam ranked #187 globally with 540 Airports per 1,000 Sq Km. This figure is significantly higher than many countries, reflecting Guam's strategic location in the Pacific. The dense concentration of airports is driven by its role as a key military and tourism hub, facilitating both military logistics and international travel to the island. Additionally, the small land area of Guam allows for a higher ratio of airports relative to its size.
Azerbaijan
Azerbaijan ranked #113 globally with 82659 Airports per 1,000 Sq Km in 2013. This figure is relatively high compared to many countries, reflecting the extensive infrastructure development in the region. The significant number of airports can be attributed to Azerbaijan's strategic geographic location along major trade routes and its investment in transportation infrastructure to bolster economic growth and connectivity. Additionally, the government has prioritized aviation as a key sector for enhancing tourism and trade.
Data Source
Our World in Data
Our World in Data is a collaborative effort between researchers at the University of Oxford, who are the scientific editors of the website content; and the UK-based nonprofit organization Global Change Data Lab (GCDL), which publishes and maintains the website and the data tools that make our work possible.
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