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Global Risks Index

NXS-GRX-BRA · South America · Regions

Santa Catarina

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
6,594,069
people (GHSL 2025)
94,847 km²
area
3.1%
of Brazil
299
units inside

01Ramani

Inside Santa Catarina

The 299 ADM2 units of Santa Catarina.

FIG 1 · 299 units inside Santa Catarina
Inapakia ramani

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.

Watu · GHSL 2025

6,594,069

3.1% of Brazil.

Watu · WorldPop 2025

7,031,182

+7% against GHSL; the two grids differ in method.

Area

94,847 km²

70 people per km².

Code

BR-SC

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

739,136

people on land at or below 10 m, 11.2% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Santa Catarina 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

7,610,361

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

Poverty headcount · 2015-12-31

3%

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

04Units

299 units inside Santa Catarina

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
Abdon Batista – 2,897 2,547 237.86 12 0% 0
Abelardo Luz – 18,711 17,965 955.83 20 0.3% 0
Agrolândia – 11,557 12,197 207.1 56 0.2% 0
Agronômica – 4,757 5,540 129.67 37 0.1% 0
Água Doce – 8,094 6,494 1,323.34 6 0.1% 0
Águas de Chapecó – 8,700 8,259 139.45 62 0.1% 0
Águas Frias – 2,803 3,227 76.96 36 0% 0
Águas Mornas – 4,770 5,742 326.95 15 0.1% 0
Alfredo Wagner – 10,992 11,161 735.12 15 0.2% 0
Alto Bela Vista – 3,588 3,061 103.61 35 0% 0
Anchieta – 7,685 6,346 233.29 33 0.1% 0
Angelina – 6,070 6,318 500.4 12 0.1% 0
Anita Garibaldi – 9,441 8,527 590.3 16 0.1% 0
Anitápolis – 3,627 3,867 541.3 7 0.1% 0
Antônio Carlos – 8,046 11,767 235.18 34 0.1% 0
Apiúna – 10,094 9,518 494.77 20 0.1% 0
Arabutã – 7,449 7,486 133 56 0.1% 0
Araquari – 35,439 56,903 387.58 91 0.5% 11,294
Araranguá – 69,306 76,693 302.82 229 1% 37,508
Armazém – 9,198 9,416 173.97 53 0.1% 0
Arroio Trinta – 3,639 3,501 94.05 39 0.1% 0
Arvoredo – 2,064 2,249 90.23 23 0% 0
Ascurra – 8,192 8,215 112.99 73 0.1% 0
Atalanta – 3,089 2,919 94.11 33 0% 0
Aurora – 6,522 7,526 207.75 31 0.1% 0
Balneário Arroio do Silva – 11,222 15,551 95.01 118 0.2% 9,407
Balneário Barra do Sul – 11,373 17,796 108.99 104 0.2% 7,230
Balneário Camboriú – 16,033 19,212 45.48 353 0.2% 29,506
Balneário Gaivota – 2,442 2,602 146.55 17 0% 1,701
Balneário Piçarras – 22,581 26,203 99.87 226 0.3% 8,607
Balneário Rincão – 13,752 17,141 63.31 217 0.2% 5,311
Bandeirante – 3,236 3,222 147.95 22 0% 0
Barra Bonita – 2,182 1,801 92.25 24 0% 0
Barra Velha – 7,674 6,463 139.8 55 0.1% 1,039
Bela Vista do Toldo – 6,407 5,640 537.06 12 0.1% 0
Belmonte – 1,548 1,618 93.25 17 0% 0
Benedito Novo – 12,691 11,394 389.14 33 0.2% 0
Biguaçu – 95,555 118,136 366.75 261 1.3% 13,717
Blumenau – 353,945 373,966 519.51 681 4.9% 0
Bocaina do Sul – 3,726 3,524 511.61 7 0.1% 0
Bom Jardim da Serra – 5,066 3,901 939.53 5 0.1% 0
Bom Jesus – 3,706 3,457 63.23 59 0.1% 0
Bom Jesus do Oeste – 2,099 1,825 67.84 31 0% 0
Bom Retiro – 10,642 8,694 1,058.76 10 0.1% 0
Bombinhas – 14,620 20,065 34.8 420 0.2% 2,752
Botuverá – 4,323 4,858 296.86 15 0.1% 0
Braço do Norte – 33,357 34,942 212.04 157 0.5% 0
Braço do Trombudo – 4,568 4,832 89.74 51 0.1% 0
Brunópolis – 3,154 2,483 336.54 9 0% 0
Brusque – 157,038 161,286 285.17 551 2.2% 0
Caçador – 83,283 77,110 983.96 85 1.2% 0
Caibi – 5,186 4,443 173.24 30 0.1% 0
Calmon – 4,269 3,810 637.99 7 0.1% 0
Camboriú – 115,056 165,875 210.61 546 1.6% 42,576
Campo Alegre – 14,869 14,953 499.63 30 0.2% 0
Campo Belo do Sul – 8,034 7,070 1,026.77 8 0.1% 0
Campo Erê – 6,096 4,885 480.21 13 0.1% 0
Campos Novos – 41,005 41,863 1,720.21 24 0.6% 0
Canelinha – 13,595 15,287 151.29 90 0.2% 3,607
Canoinhas – 61,206 58,946 1,150.72 53 0.8% 0
Capão Alto – 3,111 2,673 1,334.51 2 0% 0
Capinzal – 15,432 16,499 245.2 63 0.2% 0
Capivari de Baixo – 12,421 12,464 52.93 235 0.2% 9,286
Catanduvas – 10,577 10,257 198.89 53 0.1% 0
Caxambu do Sul – 4,606 4,626 141.15 33 0.1% 0
Celso Ramos – 2,922 2,749 208.44 14 0% 0
Cerro Negro – 3,672 3,139 419.41 9 0.1% 0
Chapadão do Lageado – 3,111 3,054 124.86 25 0% 0
Chapecó – 239,179 277,452 626.77 382 3.3% 0
Cocal do Sul – 10,049 10,515 70.97 142 0.1% 0
Concórdia – 78,897 86,102 801.63 98 1.1% 0
Cordilheira Alta – 4,004 4,434 83.55 48 0.1% 0
Coronel Freitas – 12,180 11,640 233.62 52 0.2% 0
Coronel Martins – 2,635 1,961 107.88 24 0% 0
Correia Pinto – 15,715 16,731 648.9 24 0.2% 0
Corupá – 16,771 16,298 407.06 41 0.2% 0
Criciúma – 181,616 210,867 235.68 771 2.5% 820
Cunha Porã – 13,265 12,695 220.91 60 0.2% 0
Cunhataí – 2,232 2,063 55.05 41 0% 0
Curitibanos – 43,751 42,775 951.7 46 0.6% 0
Descanso – 12,272 11,953 288.07 43 0.2% 0
Dionísio Cerqueira – 26,365 24,964 379.22 70 0.4% 0
Dona Emma – 4,564 4,897 178.05 26 0.1% 0
Doutor Pedrinho – 3,252 2,962 374.65 9 0% 0
Entre Rios – 2,525 2,741 104.15 24 0% 0
Ermo – 1,350 1,289 65.38 21 0% 535
Erval Velho – 4,379 4,385 209.31 21 0.1% 0
Faxinal dos Guedes – 11,930 11,568 341.04 35 0.2% 0
Flor do Sertão – 2,138 2,272 57.98 37 0% 0
Florianópolis – 440,252 521,206 675.71 652 6.1% 83,577
Formosa do Sul – 2,437 2,228 100.6 24 0% 0
Forquilhinha – 39,039 49,613 183.85 212 0.5% 679
Fraiburgo – 39,475 32,757 551.27 72 0.5% 0
Frei Rogério – 2,355 2,074 158.55 15 0% 0
Galvão – 4,140 3,404 140.27 30 0.1% 0
Garopaba – 16,537 25,404 114.5 144 0.2% 5,412
Garuva – 16,376 18,517 502.95 33 0.2% 1,132
Gaspar – 87,463 95,170 386.8 226 1.2% 19,291
Governador Celso Ramos – 15,167 15,817 127.35 119 0.2% 3,401
Grão Pará – 7,335 6,537 334.34 22 0.1% 0
Gravatal – 11,938 13,088 166.04 72 0.2% 1,154
Guabiruba – 22,363 25,119 172.2 130 0.3% 0
Guaraciaba – 12,885 12,358 332.13 39 0.2% 0
Guaramirim – 57,865 62,625 267.74 216 0.8% 124
Guarujá do Sul – 7,987 7,135 101.03 79 0.1% 0
Guatambú – 5,264 9,558 206.45 25 0.1% 0
Herval d’Oeste – 23,778 22,819 217.34 109 0.3% 0
Ibiam – 2,071 1,942 146.36 14 0% 0
Ibicaré – 3,834 3,465 155.72 25 0.1% 0
Ibirama – 24,020 25,440 247.1 97 0.3% 0
Içara – 55,801 64,615 230.54 242 0.8% 3,851
Ilhota – 16,011 22,853 252.74 63 0.2% 6,001
Imaruí – 11,768 11,882 542.79 22 0.2% 1,985
Imbituba – 42,232 51,398 181.81 232 0.6% 12,436
Imbuia – 6,157 6,078 118.57 52 0.1% 0
Indaial – 59,222 66,673 432.31 137 0.8% 0
Iomerê – 5,788 6,331 114 51 0.1% 0
Ipira – 2,057 2,015 156.19 13 0% 0
Iporã do Oeste – 8,745 8,958 201.59 43 0.1% 0
Ipuaçu – 8,519 8,279 261.53 33 0.1% 0
Ipumirim – 8,112 8,135 246.32 33 0.1% 0
Iraceminha – 4,129 3,396 165.54 25 0.1% 0
Irani – 11,304 10,923 326.44 35 0.2% 0
Irati – 1,225 1,033 77.85 16 0% 0
Irineópolis – 8,387 6,513 590.77 14 0.1% 0
Itá – 6,762 7,182 165.9 41 0.1% 0
Itaiópolis – 23,321 23,102 1,299.86 18 0.3% 0
Itajaí – 179,705 214,419 290.69 618 2.5% 108,464
Itapema – 53,723 77,537 58.36 921 0.7% 17,679
Itapiranga – 19,351 18,408 282.13 69 0.3% 0
Ituporanga – 26,333 28,466 338.07 78 0.4% 0
Jaborá – 4,062 4,097 182.7 22 0.1% 0
Jacinto Machado – 12,685 11,658 431.63 29 0.2% 58
Jaguaruna – 18,385 15,973 327.73 56 0.3% 6,947
Jaraguá do Sul – 167,257 178,818 531.96 314 2.3% 0
Jardinópolis – 2,746 2,716 68.93 40 0% 0
Joaçaba – 31,120 31,587 241.45 129 0.4% 0
Joinville – 645,901 660,410 1,130.71 571 8.9% 225,921
José Boiteux – 5,641 6,358 406.4 14 0.1% 0
Jupiá – 2,239 2,424 91.33 25 0% 0
Lacerdópolis – 2,404 2,308 69.38 35 0% 0
Lages – 156,567 174,248 2,641.52 59 2.2% 0
Laguna – 38,694 34,860 334.74 116 0.5% 15,262
Lajeado Grande – 1,528 1,680 65.52 23 0% 0
Laurentino – 7,252 8,968 79.28 91 0.1% 0
Lauro Müller – 16,357 14,982 271.62 60 0.2% 0
Lebon Régis – 13,423 11,525 943.38 14 0.2% 0
Leoberto Leal – 4,112 3,852 293.49 14 0.1% 0
Lindóia do Sul – 5,064 4,675 189.86 27 0.1% 0
Lontras – 9,342 10,769 197.93 47 0.1% 0
Luiz Alves – 13,851 13,953 260.74 53 0.2% 70
Luzerna – 7,928 7,404 117.37 68 0.1% 0
Macieira – 1,102 1,036 261.8 4 0% 0
Mafra – 62,920 62,935 1,406.37 45 0.9% 0
Major Gercino – 4,402 3,887 306.81 14 0.1% 0
Major Vieira – 8,513 7,588 521.33 16 0.1% 0
Mampituba – 2,755 2,974 157.42 18 0% 0
Maracajá – 8,579 8,868 63.06 136 0.1% 3,140
Maravilha – 27,181 30,763 170.77 159 0.4% 0
Marcelino Ramos – 5,314 4,473 230.04 23 0.1% 0
Marema – 2,366 2,338 104.03 23 0% 0
Mariano Moro – 597 600 98.56 6 0% 0
Massaranduba – 19,637 19,628 375.81 52 0.3% 65
Matos Costa – 3,330 2,955 435.84 8 0% 0
Meleiro – 6,921 6,341 186.86 37 0.1% 964
Mirim Doce – 2,976 2,797 339.04 9 0% 0
Modelo – 3,959 3,533 92.43 43 0.1% 0
Mondaí – 10,447 8,470 200.42 52 0.1% 0
Monte Carlo – 10,855 9,119 191.9 57 0.1% 0
Monte Castelo – 8,786 7,414 561.43 16 0.1% 0
Morro da Fumaça – 16,162 16,311 83.34 194 0.2% 180
Morro Grande – 2,506 2,511 259.93 10 0% 0
Navegantes – 114,527 125,588 111.72 1,025 1.6% 94,975
Nova Erechim – 4,948 5,215 65.15 76 0.1% 0
Nova Itaberaba – 5,149 5,367 137.3 38 0.1% 0
Nova Trento – 14,133 15,034 404.1 35 0.2% 0
Nova Veneza – 10,958 10,084 295.24 37 0.2% 0
Novo Horizonte – 3,269 2,754 151.73 22 0% 0
Orleans – 23,904 25,017 551.78 43 0.3% 0
Otacílio Costa – 19,861 18,733 849.21 23 0.3% 0
Ouro – 15,033 14,020 213.71 70 0.2% 0
Ouro Verde – 2,064 1,885 189.07 11 0% 0
Paial – 1,218 1,339 85.99 14 0% 0
Painel – 2,637 2,203 738.97 4 0% 0
Palhoça – 166,219 231,443 395.25 421 2.3% 76,577
Palma Sola – 9,890 9,239 331.33 30 0.1% 0
Palmeira – 2,471 2,315 290.04 9 0% 0
Palmitos – 24,756 22,212 351.2 70 0.3% 0
Papanduva – 21,277 20,148 767.18 28 0.3% 0
Paraíso – 3,723 3,602 180.28 21 0.1% 0
Passo de Torres – 29,753 38,366 93.13 319 0.4% 23,474
Passos Maia – 3,333 2,617 618.05 5 0% 0
Paulo Lopes – 8,748 10,590 447.27 20 0.1% 2,742
Pedras Grandes – 3,859 3,752 161.17 24 0.1% 0
Penha – 2,498 1,145 57.59 43 0% 519
Peritiba – 1,430 1,453 95.59 15 0% 0
Pescaria Brava – 27,144 25,917 106.57 255 0.4% 6,794
Petrolândia – 7,044 7,458 307.2 23 0.1% 0
Pinhalzinho – 21,413 24,836 129.5 165 0.3% 0
Pinheiro Preto – 594 752 61.56 10 0% 0
Piratuba – 7,701 8,281 146.45 53 0.1% 0
Planalto Alegre – 2,771 2,735 63.57 44 0% 0
Pomerode – 34,303 36,543 214.12 160 0.5% 0
Ponte Alta – 5,942 4,540 575.19 10 0.1% 0
Ponte Alta do Norte – 3,724 3,087 397.76 9 0.1% 0
Ponte Serrada – 13,174 11,227 561.72 23 0.2% 0
Porto Belo – 18,791 31,904 93.96 200 0.3% 3,835
Porto União – 27,349 21,306 850.15 32 0.4% 0
Pouso Redondo – 17,097 17,266 356.93 48 0.2% 0
Praia Grande – 8,182 8,894 284.52 29 0.1% 15
Presidente Castello Branco – 2,077 2,012 65.35 32 0% 0
Presidente Getúlio – 16,762 20,231 298.08 56 0.2% 0
Presidente Nereu – 2,420 2,290 225.32 11 0% 0
Princesa – 3,718 3,426 86.4 43 0.1% 0
Quilombo – 11,823 12,223 279.24 42 0.2% 0
Rancho Queimado – 2,744 3,041 286.91 10 0% 0
Rio das Antas – 7,225 6,748 314.83 23 0.1% 0
Rio do Campo – 7,126 7,045 503.06 14 0.1% 0
Rio do Oeste – 7,432 7,593 244.88 30 0.1% 0
Rio do Sul – 75,497 79,953 261.6 289 1% 0
Rio dos Cedros – 10,795 10,139 557.03 19 0.1% 0
Rio dos Índios – 2,709 2,008 235.87 11 0% 0
Rio Fortuna – 5,176 5,315 303.15 17 0.1% 0
Rio Negrinho – 44,092 39,402 908.92 49 0.6% 0
Rio Rufino – 2,610 2,378 282.38 9 0% 0
Riqueza – 5,502 4,991 191.39 29 0.1% 0
Rodeio – 14,430 16,072 128.67 112 0.2% 0
Romelândia – 5,544 4,300 223.75 25 0.1% 0
Salete – 8,378 7,704 178.16 47 0.1% 0
Saltinho – 4,327 3,589 159.27 27 0.1% 0
Salto Veloso – 6,359 5,766 104.15 61 0.1% 0
Sangão – 13,261 14,128 83.56 159 0.2% 3,374
Santa Cecília – 18,542 16,053 1,147.61 16 0.3% 0
Santa Helena – 2,625 2,410 81.66 32 0% 0
Santa Rosa de Lima – 2,155 2,032 203.96 11 0% 0
Santa Rosa do Sul – 8,431 9,623 150.38 56 0.1% 1,255
Santa Terezinha – 9,673 7,719 716.77 13 0.1% 0
Santa Terezinha do Progresso – 3,664 3,047 119.96 31 0.1% 0
Santiago do Sul – 1,465 1,553 73.63 20 0% 0
Santo Amaro da Imperatriz – 23,105 28,148 344.83 67 0.3% 58
São Bento do Sul – 88,320 88,480 497.04 178 1.2% 0
São Bernardino – 2,262 2,199 150.3 15 0% 0
São Bonifácio – 3,401 3,189 461.89 7 0% 0
São Carlos – 10,900 9,624 162.56 67 0.2% 0
São Cristóvão do Sul – 5,798 6,548 346.98 17 0.1% 0
São Domingos – 10,725 9,634 368.63 29 0.1% 0
São Francisco do Sul – 51,181 55,506 493.66 104 0.7% 10,941
São João Batista – 33,671 35,085 200.62 168 0.5% 439
São João do Itaperiú – 3,506 4,279 151.88 23 0% 278
São João do Oeste – 6,299 5,971 163.57 39 0.1% 0

The first 250 of 299 units; the CSV carries all of them, and the map reaches each one.

05Mfiduo

Open exposure layers

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

Urban areas
1,044.3 H3 cells
Bandari
2 H3 cells
Viwanja vya ndege
2 H3 cells
Major roads
2,859.5 H3 cells
Reli
988.2 H3 cells
Rivers and lakes
292.3 H3 cells
06Hatari

Risk values

Values when released. Subnational risk values for Santa Catarina 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

08Vyanzo

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.
Nchi
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.

Hali

Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.

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 si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.

Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.

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.