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
+GDP forecast or estimate (million US$) by country Country/Territory IMF GDP 2025 (million) Land area (km) GDP per km2 30,615,743 9,525,067 3,214,229 19,398,577 9,596,960 2,021,325 5,013,574 357,58114,020,806 4,279,828 377,91511,324,843 4,125,213 3,287,2631,254,908 3,958,780 244,37616,199,545 3,361,557 551,500 (metropolitan)6,095,298 2,543,677 302,0688,420,875 2,540,656 17,098,246148,592 2,283,599 9,984,670228,711 2,256,910 8,510,346265,196 1,891,371 505,3703,742,547 1,862,740 1,964,375948,261 1,858,572 100,43218,505,775 1,829,508 7,741,220236,333 1,565,471 783,5621,997,890 1,443,256 1,904,569757,786 1,320,635 41,86531,545,085 1,268,535 2,149,690590,101 1,039,619 312,6853,324,813 1,002,666 41,29124,282,919 884,387 35,98024,579,961 716,980 30,52823,485,980 708,771 70,27310,085,965 683,371 2,780,400245,782 662,318 450,2951,470,854 610,752 21,93727,841,182 574,185 740775,925,676 569,097 83,6006,807,380 566,456 83,8786,753,332 558,573 513,1201,088,582 517,102 386,2241,338,866 494,158 300,0001,647,193 484,726 331,3401,462,926 475,011 148,4603,199,589 470,572 330,6211,423,297 459,612 42,94710,701,842 438,121 1,138,910384,684 428,233 1,114384,410,233 426,383 1,219,090349,755 422,508 238,3981,772,280 410,495 882,363465,222 383,384 78,8714,860,899 356,513 1,648,195216,305 349,264 1,001,450348,758 347,174 756,102459,163 337,936 92,2253,664,256 318,480 1,285,216247,803 314,724 338,145930,737 300,052 2,724,910110,114 288,013 2,381,741120,925 285,003 923,768308,522 282,019 131,9572,137,204 265,455 438,317605,623 262,909 268,838977,946 247,759 93,0252,663,359 222,119 11,58619,171,327 209,713 575,627364,321 201,986 (2023) 109,8841,838,175 179,612 446,550402,221 157,469 17,8188,837,636 154,587 50,3107,625,265 137,480 447,400307,287 136,014 580,367234,359 130,529 283,561460,321 129,748 48,6702,665,872 127,924 110,8791,153,726 126,546 9,10013,906,154 120,850 108,8891,109,846 115,167 1,246,70092,377 111,963 238,537469,374 109,492 1,104,30099,151 105,190 309,500339,871 103,901 56,5941,835,901 102,637 51,1802,005,412 100,642 2,58638,918,020 100,048 88,4991,130,499 99,207 322,462307,655 98,964 (2024) 67,2401,471,802 95,274 65,2861,459,333 90,408 75,3201,200,319 87,444 947,30392,308 85,739 207,600413,001 84,986 176,215482,286 82,767 912,050 90,748 82,262 2,344,85835,082 79,221 20,2733,907,710 76,390 86,600882,102 72,119 488,100147,755 64,993 241,550269,066 60,577 475,650127,356 60,561 676,57889,511 59,069 163,610361,035 57,086 1,098,58151,963 56,157 89,318628,731 53,310 390,757136,427 52,379 331,587,242,424 48,802 181,035269,572 47,941 1,759,54027,246 47,880 64,594741,245 47,398 406,752116,528 47,391 77860,913,882 46,763 45,3391,031,408 45,513 147,181309,231 39,943 9,2514,317,695 39,445 112,492350,647 38,386 103,000372,680 37,403 69,700536,628 36,839 196,712187,274 36,587 21,0411,738,843 35,897 1,861,48419,284 33,237 51,209649,046 32,714 462,84070,681 30,908 27,7501,113,802 29,939 28,7481,041,429 29,369 752,61239,023 28,280 (2024) 10,4522,705,702 27,859 29,743936,657 27,745 31588,079,365 27,515 245,857111,915 26,866 274,20097,980 26,002 5,1275,071,582 25,591 1,240,19220,635 25,105 1,564,11616,051 25,064 214,969116,594 24,726 799,38030,931 24,402 114,763212,630 23,137 10,9912,105,086 22,969 1,267,00018,129 21,592 1,284,00016,816 21,455 267,66880,155 20,689 130,373158,691 20,160 199,949100,826 19,993 (2024) 185,180107,965 19,620 33,847579,667 19,377 587,04133,008 19,186 582,00032,966 18,783 25,713730,487 18,080 (2024) 652,86427,693 17,032 144,100118,196 16,934 236,80071,512 16,447 (2023) 120,538 136,447 16,393 13,8801,181,052 15,730 2,0967,504,771 15,695 342,00045,892 15,565 5,7652,699,913 14,975 118,484126,388 14,771 26,338560,825 14,686 824,29217,817 13,711 (2024) 6,0202,277,575 13,467 28,051480,090 12,944 637,65720,299 12,672 10,8871,163,957 11,953 1,030,70011,597 10,951 56,785192,850 9,995 (2024) 24,997,500,000 9,623 (2024) 18,575518,062 9,424 16058,900,000 9,353 13,812677,165 8,980 (2024) 54166,296,296 8,758 (2023) 455,50319,227 8,639 72,300119,488 7,676 30025,586,667 7,559 43117,538,283 7,431 (2024) 57212,991,259 7,139 (2024) 26427,041,667 7,025 27,834252,389 6,910 (2024) 54112,772,643 6,402 (2024) 4,1671,536,357 6,336 18,272346,760 5,201 17,363299,545 5,182 111,36946,530 4,979 644,3297,727 4,672 (2024) 34713,463,977 4,613 23,200198,836 4,496 163,82027,445 4,408 4689,418,803 4,319 18023,994,444 3,907 (2024) 1,3932,804,738 3,408 38,39488,764 3,327 (2024) 2,166,0861,536 3,300 622,9845,297 3,297 22,965143,566 3,281 (2024) 4447,389,640 2,915 4,033722,787 2,659 6164,316,558 2,497 11,295221,071 2,474 36,12568,484 2,390 30,35578,735 2,340 4425,294,118 2,275 (2023) 117,60019,345 2,241 6136,737,705 2,230 4574,879,650 2,125 14,874142,867 1,904 28,89665,891 1,745 (2024) 9481,840,717 1,735 (2024) 3451,029,412 1,613 1,861866,738 1,506 (2023) 1519,973,510 1,458 3454,226,087 1,248 2,842439,127 1,238 3893,182,519 1,141 2614,371,648 1,119 12,18991,804 1,096 (2024) 4572,398,249 976 9641,012,448 871 (2024) 1994,376,884 748 750997,333 649 (2024) 5312,245,283 587 747785,810 495 702705,128 416 (2023) 914,571,429 366 (2023) 2361,550,847 341 459742,919 321 811395,808 302 1811,668,508 172 218,190,476 80 (2023) 103776,699 58 25 2,320,000
Notes
References
External links GDP per land area