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Global Risks Index

NXS-GRX-BRA · South America · Regions

Sao Paulo

First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.

Map All 27 first-level units
Page GRX-BRA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO BRA / BRStatus UN member stateValues not yet publishedMethod v1.0.0-draft
45,718,378
people (GHSL 2025)
250,349 km²
area
21.4%
of Brazil
639
units inside

01মানচিত্র

Inside Sao Paulo

The 639 ADM2 units of Sao Paulo.

FIG 1 · 639 units inside Sao Paulo
মানচিত্র লোড হচ্ছে

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Choose a humanitarian figure from the list to colour and raise the units by it; each figure shows its source on the unit page. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

মানুষ · GHSL 2025

45,718,378

21.4% of Brazil.

মানুষ · WorldPop 2025

46,459,565

+2% against GHSL; the two grids differ in method.

Area

250,349 km²

183 people per km².

Code

BR-SP

Subdivision code as carried by the boundary source.

নিম্ন উপকূলীয় অঞ্চল

947,379

people on land at or below 10 m, 2.1% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Sao Paulo in humanitarian data

Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.

Population · 2022-12-31

44,411,238

people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).

Poverty headcount · 2015-12-31

0.6%

of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).

04Units

639 units inside Sao Paulo

Each unit has its own page.

Boundary licences: Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Adamantina – 34,234 34,969 412.92 83 0.1% 0
Adolfo – 3,909 4,798 211.53 18 0% 0
Aguaí – 35,170 33,087 475.61 74 0.1% 0
Águas de Santa Bárbara – 6,159 7,842 405.61 15 0% 0
Águas de São Pedro – 1,279 1,168 3.31 386 0% 0
Agudos – 37,472 40,931 969.41 39 0.1% 0
Alambari – 5,850 6,898 159.99 37 0% 0
Alfredo Marcondes – 4,221 4,728 119.18 35 0% 0
Altair – 4,189 3,313 313.89 13 0% 0
Altinópolis – 20,702 21,240 931.44 22 0% 0
Alto Alegre – 4,267 3,708 319.57 13 0% 0
Alumínio – 16,692 13,881 83.76 199 0% 0
Álvares Florence – 4,040 4,087 363.22 11 0% 0
Álvares Machado – 17,735 20,782 347.68 51 0% 0
Álvaro de Carvalho – 5,194 4,988 154.12 34 0% 0
Alvinlândia – 105 127 84.84 1 0% 0
Americana – 147,047 150,675 134.48 1,093 0.3% 0
Américo Brasiliense – 40,646 39,167 123.98 328 0.1% 0
Américo de Campos – 6,109 6,149 253.76 24 0% 0
Amparo – 75,044 74,256 446.45 168 0.2% 0
Analândia – 4,785 4,889 326.78 15 0% 0
Andradina – 59,247 63,263 966.35 61 0.1% 0
Angatuba – 29,266 28,430 1,029.37 28 0.1% 0
Anhembi – 6,737 6,077 738.19 9 0% 0
Anhumas – 4,159 4,298 321.19 13 0% 0
Aparecida – 47,752 42,893 121.25 394 0.1% 0
Aparecida d’Oeste – 4,917 4,227 179.61 27 0% 0
Apiaí – 27,347 25,611 975.7 28 0.1% 0
Araçariguama – 21,846 24,297 144.84 151 0% 0
Araçatuba – 200,720 210,249 1,171.54 171 0.4% 0
Araçoiaba da Serra – 34,343 39,650 255.91 134 0.1% 0
Aramina – 307 245 203.25 2 0% 0
Arandu – 6,259 6,968 286.39 22 0% 0
Arapeí – 1,559 1,548 157.41 10 0% 0
Araraquara – 242,005 252,273 1,006.67 240 0.5% 0
Araras – 142,691 140,090 647.01 221 0.3% 0
Arco-Íris – 1,978 2,146 265.7 7 0% 0
Arealva – 8,615 8,504 506.92 17 0% 0
Areias – 3,734 3,310 306 12 0% 0
Areiópolis – 11,838 10,267 85.95 138 0% 0
Ariranha – 9,523 7,259 132.91 72 0% 0
Artur Nogueira – 55,886 56,643 178.15 314 0.1% 0
Arujá – 64,282 65,333 96.64 665 0.1% 0
Aspásia – 1,663 1,741 69.51 24 0% 0
Assis – 106,485 107,911 461.49 231 0.2% 0
Atibaia – 138,608 175,959 479.86 289 0.3% 0
Auriflama – 15,334 13,788 435.24 35 0% 0
Avaí – 6,049 4,623 541.76 11 0% 0
Avanhandava – 11,752 12,111 339.25 35 0% 0
Avaré – 91,887 98,422 1,215.95 76 0.2% 0
Bady Bassitt – 16,250 30,190 110.54 147 0% 0
Balbinos – 5,514 4,266 91.49 60 0% 0
Bálsamo – 9,093 10,250 150.25 61 0% 0
Bananal – 11,445 10,604 618.11 19 0% 0
Barão de Antonina – 3,154 3,650 152.97 21 0% 0
Barbosa – 7,102 5,167 205.63 35 0% 0
Bariri – 35,019 33,204 445.98 79 0.1% 0
Barra Bonita – 39,530 34,747 150.52 263 0.1% 0
Barra do Chapéu – 5,731 5,338 406.73 14 0% 0
Barra do Turvo – 4,590 2,760 1,010.28 5 0% 0
Barretos – 124,183 128,913 1,571.04 79 0.3% 0
Barrinha – 2,428 7,077 146.37 17 0% 0
Barueri – 226,625 237,093 65.44 3,463 0.5% 0
Bastos – 21,773 22,223 171.05 127 0% 0
Batatais – 62,970 60,118 851.57 74 0.1% 0
Bauru – 369,973 379,063 669.64 552 0.8% 0
Bebedouro – 80,755 78,945 684.68 118 0.2% 0
Bento de Abreu – 2,989 2,602 302.11 10 0% 0
Bernardino de Campos – 12,142 12,251 244.64 50 0% 0
Bertioga – 43,648 51,647 494.06 88 0.1% 17,471
Bilac – 7,775 7,698 158.13 49 0% 0
Birigui – 135,303 130,021 531.64 255 0.3% 0
Biritiba Mirim – 33,057 31,989 317.99 104 0.1% 0
Boa Esperança do Sul – 11,498 10,103 692.28 17 0% 0
Bocaina – 12,227 11,784 364.85 34 0% 0
Bofete – 10,834 10,757 655.58 17 0% 0
Boituva – 65,235 70,589 249.63 261 0.1% 0
Bom Jesus dos Perdões – 26,290 25,424 108.7 242 0.1% 0
Bom Sucesso de Itararé – 3,926 3,705 133.73 29 0% 0
Borá – 838 933 119.03 7 0% 0
Boracéia – 5,039 5,575 122.19 41 0% 0
Borborema – 15,844 14,389 553.89 29 0% 0
Borebi – 2,529 2,956 348.72 7 0% 0
Botucatu – 155,791 156,049 1,487.35 105 0.3% 0
Bragança Paulista – 158,366 195,445 513.93 308 0.3% 0
Braúna – 4,567 4,556 195.01 23 0% 0
Brejo Alegre – 821 870 106.1 8 0% 0
Brodowski – 24,260 26,939 278.91 87 0.1% 0
Brotas – 23,897 25,785 1,104.5 22 0.1% 0
Buri – 20,355 21,460 1,198.63 17 0% 0
Buritama – 16,564 17,312 327.93 51 0% 0
Buritizal – 4,735 4,678 267.78 18 0% 0
Cabrália Paulista – 4,373 4,304 240.45 18 0% 0
Cabreúva – 41,755 43,328 261.24 160 0.1% 0
Caçapava – 92,573 101,114 370.26 250 0.2% 0
Cachoeira Paulista – 33,454 33,973 289.05 116 0.1% 0
Caconde – 19,428 16,275 469.05 41 0% 0
Cafelândia – 18,026 17,241 922.42 20 0% 0
Caiabu – 4,350 3,588 253.98 17 0% 0
Caieiras – 69,029 77,678 97.94 705 0.2% 0
Caiuá – 4,654 5,106 551.96 8 0% 0
Cajamar – 43,758 59,763 131.44 333 0.1% 0
Cajati – 29,767 29,683 455.38 65 0.1% 0
Cajobi – 9,581 8,378 176.79 54 0% 0
Cajuru – 26,156 24,601 662.35 39 0.1% 0
Campina do Monte Alegre – 6,134 6,341 184.92 33 0% 0
Campinas – 1,257,979 1,175,337 796.67 1,579 2.8% 0
Campo Limpo Paulista – 79,009 77,493 79.62 992 0.2% 0
Campos do Jordão – 42,648 41,442 290.96 147 0.1% 0
Campos Novos Paulista – 4,916 4,979 484.99 10 0% 0
Cananéia – 13,612 13,169 1,239.04 11 0% 8,351
Canas – 145 221 52.82 3 0% 0
Cândido Mota – 32,360 30,481 597.45 54 0.1% 0
Cândido Rodrigues – 3,880 3,649 71.09 55 0% 0
Canitar – 5,257 7,237 57.44 92 0% 0
Capão Bonito – 49,983 47,965 1,643.45 30 0.1% 0
Capela do Alto – 20,569 25,109 170.76 120 0% 0
Capivari – 34,958 34,161 323.97 108 0.1% 0
Caraguatatuba – 81,986 95,569 486.05 169 0.2% 25,865
Carapicuíba – 609,146 567,944 34.57 17,621 1.3% 0
Cardoso – 12,876 11,301 641.22 20 0% 0
Casa Branca – 31,143 28,991 866.58 36 0.1% 0
Castilho – 20,168 20,897 1,068.83 19 0% 0
Catanduva – 124,912 120,086 292.05 428 0.3% 0
Catiguá – 7,818 7,251 148.84 53 0% 0
Cedral – 6,426 10,665 198.46 32 0% 0
Cerqueira César – 19,288 23,559 513.01 38 0% 0
Cerquilho – 45,667 46,818 128.1 356 0.1% 0
Cesário Lange – 17,671 20,726 190.63 93 0% 0
Charqueada – 15,898 15,134 176.05 90 0% 0
Chavantes – 13,024 12,529 189.21 69 0% 0
Clementina – 8,203 7,254 169.32 48 0% 0
Colina – 18,382 19,210 423.78 43 0% 0
Colômbia – 6,547 7,147 730.41 9 0% 0
Conchal – 28,053 29,415 182.58 154 0.1% 0
Conchas – 18,411 15,289 467 39 0% 0
Cordeirópolis – 24,797 27,938 137.84 180 0.1% 0
Coroados – 7,211 6,731 247.44 29 0% 0
Coronel Macedo – 4,859 3,794 304.52 16 0% 0
Corumbataí – 3,818 4,106 279.1 14 0% 0
Cosmópolis – 73,534 60,740 155.09 474 0.2% 0
Cosmorama – 8,357 9,934 442.92 19 0% 0
Cotia – 321,645 399,836 325.26 989 0.7% 0
Cravinhos – 36,054 35,653 312.68 115 0.1% 0
Cristais Paulista – 7,989 9,596 386.54 21 0% 0
Cruzália – 2,277 2,099 149.83 15 0% 0
Cruzeiro – 64,860 59,750 306.37 212 0.1% 0
Cubatão – 140,777 117,984 143.28 983 0.3% 97,784
Cunha – 23,181 23,321 1,410.45 16 0.1% 0
Descalvado – 36,328 34,224 755.97 48 0.1% 0
Diadema – 685,336 578,719 30.61 22,389 1.5% 0
Dirce Reis – 1,753 1,578 88.23 20 0% 0
Divinolândia – 11,946 11,260 224.75 53 0% 0
Dobrada – 8,961 9,438 150.22 60 0% 0
Dois Córregos – 28,017 25,106 635.24 44 0.1% 0
Dolcinópolis – 2,229 2,323 78.22 28 0% 0
Dourado – 9,317 8,124 206.16 45 0% 0
Dracena – 51,649 51,845 488.31 106 0.1% 0
Duartina – 13,454 13,018 265.16 51 0% 0
Dumont – 10,298 10,302 111.68 92 0% 0
Echaporã – 6,582 6,419 517.29 13 0% 0
Eldorado – 16,379 13,012 1,658.02 10 0% 0
Elias Fausto – 17,096 18,813 202.72 84 0% 0
Elisiário – 3,624 3,217 93.9 39 0% 0
Embaúba – 2,344 2,227 83.52 28 0% 0
Embu das Artes – 342,268 368,991 70.38 4,863 0.7% 0
Embu-Guaçu – 68,652 95,012 155.35 442 0.2% 0
Emilianópolis – 3,232 3,060 224.83 14 0% 0
Engenheiro Coelho – 19,084 20,379 110.53 173 0% 0
Espírito Santo do Pinhal – 45,516 39,128 390.52 117 0.1% 0
Espírito Santo do Turvo – 4,706 4,182 194.25 24 0% 0
Estiva Gerbi – 1,927 2,140 73.66 26 0% 0
Estrela d’Oeste – 8,693 9,980 297.43 29 0% 0
Estrela do Norte – 2,863 2,862 264.21 11 0% 0
Euclides da Cunha Paulista – 3,819 1,322 574.59 7 0% 0
Fartura – 16,650 17,646 429.94 39 0% 0
Fernando Prestes – 5,949 6,356 170.52 35 0% 0
Fernandópolis – 71,021 76,415 550.96 129 0.2% 0
Fernão – 1,748 1,652 100.35 17 0% 0
Ferraz de Vasconcelos – 570,360 483,082 29.56 19,295 1.2% 0
Flora Rica – 1,744 1,418 225.26 8 0% 0
Floreal – 3,194 2,742 205.43 16 0% 0
Flórida Paulista – 16,859 13,803 525.22 32 0% 0
Florínea – 2,835 4,047 226.31 13 0% 0
Franca – 374,747 374,261 606.82 618 0.8% 0
Francisco Morato – 171,076 171,076 48.91 3,498 0.4% 0
Franco da Rocha – 179,557 185,655 133.35 1,347 0.4% 0
Gabriel Monteiro – 2,948 2,877 138.87 21 0% 0
Gália – 7,296 6,276 357.49 20 0% 0
Garça – 45,890 43,759 557.32 82 0.1% 0
Gastão Vidigal – 4,829 2,976 180.58 27 0% 0
Gavião Peixoto – 4,728 4,801 244.57 19 0% 0
General Salgado – 11,185 10,146 495.06 23 0% 0
Getulina – 11,611 10,080 678.43 17 0% 0
Glicério – 7,121 6,184 274.28 26 0% 0
Guaiçara – 12,690 11,619 277.79 46 0% 0
Guaimbê – 5,952 5,720 218.34 27 0% 0
Guaíra – 41,492 41,693 1,261.44 33 0.1% 0
Guapiaçu – 20,221 22,930 325.61 62 0% 0
Guapiara – 18,201 16,511 409.29 44 0% 0
Guará – 21,419 18,582 362.74 59 0% 0
Guaraçaí – 8,846 7,176 570.47 16 0% 0
Guaraci – 11,309 10,788 642.91 18 0% 0
Guarani d’Oeste – 2,087 1,978 86.1 24 0% 0
Guarantã – 6,752 6,716 463.04 15 0% 0
Guararapes – 33,351 32,467 958.12 35 0.1% 0
Guararema – 28,438 32,059 271.23 105 0.1% 0
Guaratinguetá – 122,363 124,229 754.93 162 0.3% 0
Guareí – 17,643 16,416 569.48 31 0% 0
Guariba – 37,236 38,314 271.7 137 0.1% 0
Guarujá – 278,330 236,331 144.75 1,923 0.6% 174,665
Guarulhos – 1,256,006 1,241,253 319.11 3,936 2.7% 0
Guatapará – 7,794 7,652 415.31 19 0% 0
Guzolândia – 5,316 4,072 252.63 21 0% 0
Herculândia – 9,567 9,282 364.61 26 0% 0
Holambra – 10,562 12,099 65.87 160 0% 0
Hortolândia – 229,020 236,699 62.43 3,668 0.5% 0
Iacanga – 11,520 11,145 548.79 21 0% 0
Iacri – 6,831 6,364 322.85 21 0% 0
Iaras – 8,693 8,850 402.77 22 0% 0
Ibaté – 35,117 34,074 291.69 120 0.1% 0
Ibirá – 12,890 12,874 272.35 47 0% 0
Ibirarema – 7,556 6,470 228.78 33 0% 0
Ibitinga – 59,655 63,540 691.11 86 0.1% 0
Ibiúna – 75,507 76,714 1,060.16 71 0.2% 0
Icém – 8,509 8,404 363.74 23 0% 0
Iepê – 8,288 8,098 596.04 14 0% 0
Igaraçu do Tietê – 23,883 23,008 98.32 243 0.1% 0
Igarapava – 34,873 30,758 469.89 74 0.1% 0
Igaratá – 10,226 12,252 293.67 35 0% 0
Iguape – 34,060 32,320 1,984.55 17 0.1% 21,838
Ilha Comprida – 5,648 8,713 198.32 28 0% 3,506
Ilha Solteira – 27,115 26,677 655.16 41 0.1% 0
Ilhabela – 26,485 31,178 346.24 76 0.1% 1,952
Indaiatuba – 242,394 281,212 312.52 776 0.5% 0
Indiana – 5,190 5,384 130.05 40 0% 0
Indiaporã – 4,280 4,272 280.08 15 0% 0
Inúbia Paulista – 3,974 3,751 87.58 45 0% 0
Ipaussu – 14,980 13,932 210.24 71 0% 0
Iperó – 23,786 26,211 169.94 140 0.1% 0
Ipeúna – 7,144 7,116 190.61 37 0% 0
Ipiguá – 8,354 15,926 136.46 61 0% 0
Iporanga – 5,415 4,340 1,154.31 5 0% 0
Ipuã – 15,884 14,986 468.36 34 0% 0
Iracemápolis – 22,951 23,161 114.92 200 0.1% 0
Irapuã – 8,070 6,672 257.88 31 0% 0
Irapuru – 5,989 3,642 214.7 28 0% 0
Itaberá – 18,857 18,418 1,103.53 17 0% 0
Itaí – 27,424 27,054 1,095.77 25 0.1% 0
Itajobi – 17,940 19,494 503.26 36 0% 0

The first 250 of 639 units; the CSV carries all of them, and the map reaches each one.

05উন্মুক্ততা

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
7,863.8 H3 cells
বন্দর
1 H3 cells
বিমানবন্দর
4 H3 cells
Major roads
8,700.9 H3 cells
রেলপথ
5,036.8 H3 cells
Rivers and lakes
2,666.6 H3 cells
06ঝুঁকি

Risk values

Values when released. Subnational risk values for Sao Paulo publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Brazil.
Run a scenario Hazards Domain indices
07Neighbours

Neighbouring units

08উৎস

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen BRA ADM1, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen BRA ADM2, source: Instituto Brasileiro de Geografia e Estatística (IBGE), OCHA ROLAC, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
Basemap
OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
Terrain
Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
People
GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
দেশ
Natural Earth (public domain).
Elevation
GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
Position
Boundaries are shown for location only and take no position on any boundary, name or status.

অবস্থা

The Global Risks Index-এর পদ্ধতি, কাঠামো ও সংজ্ঞা একটি প্রস্তুতিমূলক কার্যকরী খসড়া (2026), পর্যালোচনা ও মন্তব্যের জন্য প্রচারিত, বাস্তবায়নের জন্য নয়। নিয়ন্ত্রিত প্রমাণ কর্তন থেকে একটি সংস্করণ প্রকাশিত না হওয়া পর্যন্ত কোনো মান দেখা যায় না; তখন মানগুলো ব্যবধান, শ্রেণি, উৎস ও তাদের সংশোধনের পথ বহন করে। অনুকারকগুলো আপনার বেছে নেওয়া সংখ্যায় প্রকাশিত পদ্ধতি চালায় এবং কখনও কোনো NXS-GRX মান দেখায় না।

A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.

NXS-GRX যা নয়

NXS-GRX গবেষণা ও ঝুঁকি-বিশ্লেষণ তথ্য। এটি ঋণ বা ESG রেটিং নয় এবং কোনো রেটিং স্কেল ব্যবহার করে না; এটি আর্থিক উপকরণের বেঞ্চমার্ক নয়, সরকারি পরিসংখ্যান নয়, জরুরি সতর্কবার্তা বা সরকারি শ্রেণিবিভাগ নয় এবং পরামর্শ নয়। প্রাকৃতিক ব্যক্তিদের মূল্যায়নে এটি ব্যবহার করা যাবে না। ঝুঁকির শ্রেণি হলো একটি প্রকাশিত স্কেলের ব্যান্ড, কখনো দেশ বা মানুষের র‍্যাংকিং নয়।

Pulse সংকেত ও পূর্বাভাসের সম্ভাবনা উপযুক্ত কর্তৃপক্ষের পর্যালোচনার জন্য তথ্য, কখনো জনসাধারণের সতর্কবার্তা নয়; আনুষ্ঠানিক সতর্কবার্তা কেবল অনুমোদিত কর্তৃপক্ষ থেকে আসে।

প্রতিষ্ঠান ও উৎস

Nexus Consortium তিনটি স্বাধীন অলাভজনক প্রতিষ্ঠানের তত্ত্বাবধানে: The Global Centre for Risk and Innovation (GCRI), ওয়াশিংটন, ডিসিতে GCRI US এবং অন্টারিওতে GCRI Canada-র মাধ্যমে, যেখানে GCRI Canada প্রধান প্রতিষ্ঠান, কনসোর্টিয়াম সচিবালয় ও প্রধান চুক্তিকারী সংস্থা; The Global Risks Forum (GRF); এবং The Global Risks Alliance (GRA)। প্রযুক্তি, অবকাঠামো ও পরিষেবা সরবরাহকারীরা সরকারি-বেসরকারি-পৃথিবী মডেলের অন্য প্রতিটি বহিরাগত পক্ষের মতো লিখিত চুক্তির অধীনে স্বাধীন দূরত্বে কনসোর্টিয়ামের সঙ্গে কাজ করে, এবং এর তত্ত্বাবধানে তাদের কোনো ভূমিকা নেই।

প্রতিটি মান তার উৎসের স্বীকৃতি বহন করে, যারা নিজস্ব লাইসেন্স বজায় রাখে। বহিরাগত নাম কেবল আন্তঃকার্যক্ষমতার জন্য উদ্ধৃত। Nexus-রচিত পাঠ প্রকাশের সময় CC BY 4.0-এর জন্য উদ্দিষ্ট।

Avis en français

La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.