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GDP density

Measure of economic activity per a given unit of area

GDP density

Measure of economic activity per a given unit of area

Gridded GDP Density of the World 1990 and 2011

GDP density is a measure of economic activity by area. It is expressed as gross domestic product per square kilometer and can be calculated by multiplying GDP per capita of an area by the population density of that area. Amongst other uses it demonstrates the effects of geography on economy.

GDP Density

What is GDP density

GDP density refers to the distribution or intensity of Gross Domestic Product (GDP) within a particular area or population. GDP density could be interpreted as a measure of economic activity or output relative to the size of a region or population, often expressed as GDP per capita or GDP per unit of area.

GDP per capita

The GDP per capita is a commonly utilized indicator to assess a nation's economic performance. It is calculated by dividing the total value of products and services produced in a nation during a given time period by the average population of that nation. This measure, which is frequently used to compare the economic success of various countries, sheds light on the average economic output per person in a specific nation. GDP per capita typically denotes a higher standard of life because it shows that the nation's citizens have more resources and GDP density

GDP per unit area

GDP per unit area refers to the geographical distribution of Gross Domestic Product within a country. It analyzes how economic output is spread across different regions, provinces, states, or territories within a nation. Understanding GDP geographic distribution is essential for policymakers, businesses, and researchers as it provides insights into regional disparities in economic development and helps identify areas that may require targeted interventions or investment. Policymakers can identify economically underperforming regions and may need to implement tailored policies to promote growth and development by analyzing the geographic distribution of GDP. By identifying the areas of concentrated economic activity, it also assists firms in making well-informed decisions regarding the allocation of resources and market prospects. Additionally, trends of urbanization, economic resiliency, and regional growth are studied by scholars using geographic GDP density data.

Fluctuations in GDP density

Academic discussions have highlighted two significant reasons why typical households might not benefit proportionally from economic growth. These reasons revolve around discrepancies between GDP per capita and median household income, shedding light on challenges in accurately measuring and interpreting economic indicators. The first reason centers on differences in measurement between GDP per capita, derived from national accounts, and median household income, based on household surveys. Despite efforts by organizations like the OECD and EU to align income measures with national accounts concepts, disparities persist due to methodological variations and mismeasurement. Empirical studies reveal substantial disparities between mean per capita income from national accounts and household surveys across various countries. The second reason gaining attention is the widening income inequality, where a significant portion of national income growth concentrates at the top of the income distribution. This trend results in minimal increases in the median income. Empirical studies, primarily focused on countries like the USA and the UK, underscore the impact of income inequality on household income dynamics.

Effect on poverty levels

Geographical detectors have been used, especially in rural poverty contexts, to systematically measure the individual and interacting influences of numerous factors on changes in GDP density. This investigation has found the ideal qualities of important variables that support GDP density growth. Furthermore, a better comprehension of the GDP density differentiation mechanism in rural poverty has been gained. Sufficient reasons for changes in GDP density in rural poverty have been established, based on variables like elevation, average yearly temperature, land use, normalized differential vegetation index (NDVI), and distance to main roadways. Crucially, it has been noted that these impact factors have interactive impacts on GDP density, with synergistic effects frequently producing nonlinear consequences and mutual enhancement.

List of countries by GDP density

Country/TerritoryIMF GDP 2025 (million)Land area (km)GDP per km2
uspeft30,615,7439,525,0673,214,229
uspeft19,398,5779,596,9602,021,325
uspeft5,013,574357,58114,020,806
uspeft4,279,828377,91511,324,843
uspeft4,125,2133,287,2631,254,908
uspeft3,958,780244,37616,199,545
uspeft3,361,557551,500 (metropolitan)6,095,298
uspeft2,543,677302,0688,420,875
uspeft2,540,65617,098,246148,592
uspeft2,283,5999,984,670228,711
uspeft2,256,9108,510,346265,196
uspeft1,891,371505,3703,742,547
uspeft1,862,7401,964,375948,261
uspeft1,858,572100,43218,505,775
uspeft1,829,5087,741,220236,333
uspeft1,565,471783,5621,997,890
uspeft1,443,2561,904,569757,786
uspeft1,320,63541,86531,545,085
uspeft1,268,5352,149,690590,101
uspeft1,039,619312,6853,324,813
uspeft1,002,66641,29124,282,919
uspeft884,38735,98024,579,961
uspeft716,98030,52823,485,980
uspeft708,77170,27310,085,965
uspeft683,3712,780,400245,782
uspeft662,318450,2951,470,854
uspeft610,75221,93727,841,182
uspeft574,185740775,925,676
uspeft569,09783,6006,807,380
uspeft566,45683,8786,753,332
uspeft558,573513,1201,088,582
uspeft517,102386,2241,338,866
uspeft494,158300,0001,647,193
uspeft484,726331,3401,462,926
uspeft475,011148,4603,199,589
uspeft470,572330,6211,423,297
uspeft459,61242,94710,701,842
uspeft438,1211,138,910384,684
uspeft428,2331,114384,410,233
uspeft426,3831,219,090349,755
uspeft422,508238,3981,772,280
uspeft410,495882,363465,222
uspeft383,38478,8714,860,899
uspeft356,5131,648,195216,305
uspeft349,2641,001,450348,758
uspeft347,174756,102459,163
uspeft337,93692,2253,664,256
uspeft318,4801,285,216247,803
uspeft314,724338,145930,737
uspeft300,0522,724,910110,114
uspeft288,0132,381,741120,925
uspeft285,003923,768308,522
uspeft282,019131,9572,137,204
uspeft265,455438,317605,623
uspeft262,909268,838977,946
uspeft247,75993,0252,663,359
uspeft222,11911,58619,171,327
uspeft209,713575,627364,321
uspeft201,986 (2023)109,8841,838,175
uspeft179,612446,550402,221
uspeft157,46917,8188,837,636
uspeft154,58720,2737,625,265
uspeft137,480447,400307,287
uspeft136,014580,367234,359
uspeft130,529283,561460,321
uspeft129,74848,6702,665,872
uspeft127,924110,8791,153,726
uspeft126,5469,10013,906,154
uspeft120,850108,8891,109,846
uspeft115,1671,246,70092,377
uspeft111,963238,537469,374
uspeft109,4921,104,30099,151
uspeft105,190309,500339,871
uspeft103,90156,5941,835,901
uspeft102,63751,1802,005,412
uspeft100,6422,58638,918,020
uspeft100,04888,4991,130,499
uspeft99,207322,462307,655
uspeft98,964 (2024)67,2401,471,802
uspeft95,27465,2861,459,333
uspeft90,40875,3201,200,319
uspeft87,444947,30392,308
uspeft85,739207,600413,001
uspeft84,986176,215482,286
uspeft82,767912,05090,748
uspeft82,2622,344,85835,082
uspeft79,22120,2733,907,710
uspeft76,39086,600882,102
uspeft72,119488,100147,755
uspeft64,993241,550269,066
uspeft60,577475,650127,356
uspeft60,561676,57889,511
uspeft59,069163,610361,035
uspeft57,0861,098,58151,963
uspeft56,15789,318628,731
uspeft53,310390,757136,427
uspeft52,379331,587,242,424
uspeft48,802181,035269,572
uspeft47,9411,759,54027,246
uspeft47,88064,594741,245
uspeft47,398406,752116,528
uspeft47,39177860,913,882
uspeft46,76345,3391,031,408
uspeft45,513147,181309,231
uspeft39,9439,2514,317,695
uspeft39,445112,492350,647
uspeft38,386103,000372,680
uspeft37,40369,700536,628
uspeft36,839196,712187,274
uspeft36,58721,0411,738,843
uspeft35,8971,861,48419,284
uspeft33,23751,209649,046
uspeft32,714462,84070,681
uspeft30,90827,7501,113,802
uspeft29,93928,7481,041,429
uspeft29,369752,61239,023
uspeft28,280 (2024)10,4522,705,702
uspeft27,85929,743936,657
uspeft27,74531588,079,365
uspeft27,515245,857111,915
uspeft26,866274,20097,980
uspeft26,0025,1275,071,582
uspeft25,5911,240,19220,635
uspeft25,1051,564,11616,051
uspeft25,064214,969116,594
uspeft24,726799,38030,931
uspeft24,402114,763212,630
uspeft23,13710,9912,105,086
uspeft22,9691,267,00018,129
uspeft21,5921,284,00016,816
uspeft21,455267,66880,155
uspeft20,689130,373158,691
uspeft20,160199,949100,826
uspeft19,993 (2024)185,180107,965
uspeft19,62033,847579,667
uspeft19,377587,04133,008
uspeft19,186582,00032,966
uspeft18,78325,713730,487
uspeft18,080 (2024)652,86427,693
uspeft17,032144,100118,196
uspeft16,934236,80071,512
uspeft16,447 (2023)120,538136,447
uspeft16,39313,8801,181,052
uspeft15,7302,0967,504,771
uspeft15,695342,00045,892
uspeft15,5655,7652,699,913
uspeft14,975118,484126,388
uspeft14,77126,338560,825
uspeft14,686824,29217,817
uspeft13,711 (2024)6,0202,277,575
uspeft13,46728,051480,090
uspeft12,944637,65720,299
uspeft12,67210,8871,163,957
uspeft11,9531,030,70011,597
uspeft10,95156,785192,850
uspeft9,995 (2024)24,997,500,000
uspeft9,623 (2024)18,575518,062
uspeft9,42416058,900,000
uspeft9,35313,812677,165
uspeft8,980 (2024)54166,296,296
uspeft8,758 (2023)455,50319,227
uspeft8,63972,300119,488
uspeft7,67630025,586,667
uspeft7,55943117,538,283
uspeft7,431 (2024)57212,991,259
uspeft7,139 (2024)26427,041,667
uspeft7,02527,834252,389
uspeft6,910 (2024)54112,772,643
uspeft6,402 (2024)4,1671,536,357
uspeft6,33618,272346,760
uspeft5,20117,363299,545
uspeft5,182111,36946,530
uspeft4,979644,3297,727
uspeft4,672 (2024)34713,463,977
uspeft4,61323,200198,836
uspeft4,496163,82027,445
uspeft4,4084689,418,803
uspeft4,31918023,994,444
uspeft3,907 (2024)1,3932,804,738
uspeft3,40838,39488,764
uspeft3,327 (2024)2,166,0861,536
uspeft3,300622,9845,297
uspeft3,29722,965143,566
uspeft3,281 (2024)4447,389,640
uspeft2,9154,033722,787
uspeft2,6596164,316,558
uspeft2,49711,295221,071
uspeft2,47436,12568,484
uspeft2,39030,35578,735
uspeft2,3404425,294,118
uspeft2,275 (2023)117,60019,345
uspeft2,2416136,737,705
uspeft2,2304574,879,650
uspeft2,12514,874142,867
uspeft1,90428,89665,891
uspeft1,745 (2024)9481,840,717
uspeft1,735 (2024)3451,029,412
uspeft1,6131,861866,738
uspeft1,506 (2023)1519,973,510
uspeft1,4583454,226,087
uspeft1,2482,842439,127
uspeft1,2383893,182,519
uspeft1,1412614,371,648
uspeft1,11912,18991,804
uspeft1,096 (2024)4572,398,249
uspeft9769641,012,448
uspeft871 (2024)1994,376,884
uspeft748750997,333
uspeft649 (2024)5312,245,283
uspeft587747785,810
uspeft495702705,128
uspeft416 (2023)914,571,429
uspeft366 (2023)2361,550,847
uspeft341459742,919
uspeft321811395,808
uspeft3021811,668,508
uspeft172218,190,476
uspeft80 (2023)103776,699
uspeft58252,320,000

Notes

References

References

  1. "'''Gallup J. L., Sachs J. D., and Mellinger A. D.''' (1999): GEOGRAPHY AND ECONOMIC DEVELOPMENT".
  2. (September 2019). "GDP Per Capita Versus Median Household Income: What Gives Rise to the Divergence Over Time and how does this Vary Across OECD Countries?". Review of Income and Wealth.
  3. (March 2021). "Detecting influences of factors on GDP density differentiation of rural poverty changes". Structural Change and Economic Dynamics.
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