Skip to content

Foundry

Global Risks Index

NXS-GRX-BRA · South America · Regions

Bahia

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
15,232,325
people (GHSL 2025)
571,337 km²
area
7.1%
of Brazil
419
units inside

01Ramani

Inside Bahia

The 419 ADM2 units of Bahia.

FIG 1 · 419 units inside Bahia
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

15,232,325

7.1% of Brazil.

Watu · WorldPop 2025

14,333,859

-6% against GHSL; the two grids differ in method.

Area

571,337 km²

27 people per km².

Code

BR-BA

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

472,859

people on land at or below 10 m, 3.1% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Bahia 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

14,141,626

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

Poverty headcount · 2015-12-31

6.5%

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

04Units

419 units inside Bahia

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
Abaíra – 9,351 7,970 540.4 17 0.1% 0
Abaré – 16,578 15,766 1,611.63 10 0.1% 0
Acajutiba – 15,406 13,653 182.71 84 0.1% 0
Adustina – 17,775 14,797 631.89 28 0.1% 0
Água Fria – 15,712 12,880 747.03 21 0.1% 0
Aiquara – 12,262 11,973 168.67 73 0.1% 0
Alagoinhas – 165,820 160,277 710.59 233 1.1% 0
Alcobaça – 12,982 12,142 1,481.86 9 0.1% 2,051
Almadina – 7,064 5,778 245.93 29 0% 0
Amargosa – 35,052 36,752 432.09 81 0.2% 0
Amélia Rodrigues – 28,367 28,168 167.38 169 0.2% 0
América Dourada – 15,391 14,409 826.26 19 0.1% 0
Anagé – 24,058 26,752 1,905.05 13 0.2% 0
Andaraí – 12,737 13,075 1,595.61 8 0.1% 0
Andorinha – 15,812 15,925 1,367.56 12 0.1% 0
Angical – 14,391 14,040 1,533.69 9 0.1% 0
Anguera – 9,608 10,100 187.79 51 0.1% 0
Antas – 17,048 12,748 320.9 53 0.1% 0
Antônio Cardoso – 13,012 12,547 294.62 44 0.1% 0
Antônio Gonçalves – 10,495 9,994 346.51 30 0.1% 0
Aporá – 17,927 15,848 480.65 37 0.1% 0
Apuarema – 7,011 6,187 151.21 46 0% 0
Araçás – 13,823 12,651 476.28 29 0.1% 0
Aracatu – 13,571 14,401 1,495.93 9 0.1% 0
Araci – 53,417 47,229 1,502.17 36 0.4% 0
Aramari – 9,598 8,257 369.46 26 0.1% 0
Arataca – 11,139 9,862 437.28 25 0.1% 0
Aratuípe – 8,406 8,274 174.41 48 0.1% 1,129
Aurelino Leal – 28,101 20,573 447.2 63 0.2% 0
Baianópolis – 14,461 14,676 3,336.61 4 0.1% 0
Baixa Grande – 21,514 17,873 970.75 22 0.1% 0
Banzaê – 14,826 10,897 411.1 36 0.1% 0
Barra – 48,777 49,661 11,470.33 4 0.3% 0
Barra da Estiva – 24,589 30,035 1,660.88 15 0.2% 0
Barra do Choça – 34,437 37,882 768.79 45 0.2% 0
Barra do Mendes – 14,441 14,676 1,590.25 9 0.1% 0
Barra do Rocha – 3,360 2,273 215.08 16 0% 0
Barreiras – 178,271 171,157 8,083.57 22 1.2% 0
Barro Alto – 11,227 11,077 416.06 27 0.1% 0
Barro Preto – 7,214 5,977 202.15 36 0% 0
Barrocas – 16,246 16,702 207.78 78 0.1% 0
Belmonte – 24,539 21,098 1,946.4 13 0.2% 6,922
Belo Campo – 17,014 19,104 776.25 22 0.1% 0
Biritinga – 16,900 16,232 555.85 30 0.1% 0
Boa Nova – 15,050 13,760 853.55 18 0.1% 0
Boa Vista do Tupim – 21,083 18,405 2,983.41 7 0.1% 0
Bom Jesus da Lapa – 67,452 68,936 4,131.38 16 0.4% 0
Bom Jesus da Serra – 8,950 8,822 468.54 19 0.1% 0
Boninal – 11,298 12,312 899.98 13 0.1% 0
Bonito – 16,288 16,997 793.91 21 0.1% 0
Boquira – 23,346 19,195 1,431.16 16 0.2% 0
Botuporã – 12,165 11,981 631.05 19 0.1% 0
Brejões – 10,174 8,303 520.95 20 0.1% 0
Brejolândia – 10,305 9,186 2,255.57 5 0.1% 0
Brotas de Macaúbas – 11,497 11,874 2,380.34 5 0.1% 0
Brumado – 68,300 75,534 2,216.06 31 0.5% 0
Buerarema – 17,419 12,758 220.41 79 0.1% 0
Buritirama – 20,915 20,233 4,063.02 5 0.1% 0
Caatiba – 9,178 5,319 513.51 18 0.1% 0
Cabaceiras do Paraguaçu – 17,966 15,481 223.22 80 0.1% 0
Cachoeira – 36,224 27,541 396.62 91 0.2% 3,528
Caculé – 21,758 22,175 613.74 35 0.1% 0
Caém – 12,327 13,060 542.27 23 0.1% 0
Caetanos – 14,570 10,900 770.56 19 0.1% 0
Caetité – 52,112 55,204 2,660.52 20 0.3% 0
Cafarnaum – 17,791 17,532 646.67 28 0.1% 0
Cairu – 11,091 12,379 450.67 25 0.1% 5,673
Caldeirão Grande – 12,134 13,138 459.92 26 0.1% 0
Camacan – 31,509 18,898 586.04 54 0.2% 0
Camaçari – 315,295 331,765 788.7 400 2.1% 20,691
Camamu – 35,927 30,969 842.85 43 0.2% 3,534
Campo Alegre de Lourdes – 28,672 31,882 2,926.04 10 0.2% 0
Campo Formoso – 68,496 73,581 7,191.48 10 0.5% 0
Canápolis – 9,891 10,812 461.56 21 0.1% 0
Canarana – 16,223 14,855 581.82 28 0.1% 0
Canavieiras – 21,559 21,150 1,340.81 16 0.1% 16,203
Candeal – 9,735 9,135 447.93 22 0.1% 0
Candeias – 85,588 73,366 252.79 339 0.6% 1,358
Candiba – 14,408 13,352 433.94 33 0.1% 0
Cândido Sales – 12,762 13,789 1,173.8 11 0.1% 0
Cansanção – 35,258 41,028 1,356.85 26 0.2% 0
Canudos – 17,109 17,613 3,578.14 5 0.1% 0
Capela do Alto Alegre – 11,401 10,169 633.32 18 0.1% 0
Capim Grosso – 27,610 32,614 466.54 59 0.2% 0
Caraíbas – 9,558 10,447 808.02 12 0.1% 0
Caravelas – 23,479 22,285 2,384.26 10 0.2% 7,754
Cardeal da Silva – 5,928 5,092 294.18 20 0% 0
Carinhanha – 32,368 32,840 2,532.31 13 0.2% 0
Carira – 22,920 20,181 641.76 36 0.2% 0
Casa Nova – 71,069 77,243 9,688.03 7 0.5% 0
Castro Alves – 27,519 25,970 716 38 0.2% 0
Catolândia – 3,110 3,400 705.3 4 0% 0
Catu – 51,557 46,402 428.78 120 0.3% 0
Caturama – 14,573 15,017 718.58 20 0.1% 0
Central – 16,972 16,028 569.39 30 0.1% 0
Chorrochó – 14,349 11,860 3,017.28 5 0.1% 0
Cícero Dantas – 33,904 33,355 823.92 41 0.2% 0
Cipó – 14,138 16,507 168.34 84 0.1% 0
Coaraci – 19,462 16,577 276.59 70 0.1% 0
Cocos – 19,122 20,151 10,178.64 2 0.1% 0
Conceição da Feira – 23,875 23,874 165.47 144 0.2% 0
Conceição do Almeida – 17,298 15,183 287.08 60 0.1% 0
Conceição do Coité – 65,429 72,661 1,020.91 64 0.4% 0
Conceição do Jacuípe – 28,232 32,971 115.53 244 0.2% 0
Conde – 23,971 23,869 934.85 26 0.2% 7,215
Condeúba – 18,395 17,084 1,352.37 14 0.1% 0
Contendas do Sincorá – 2,889 2,718 980.87 3 0% 0
Coração de Maria – 24,286 28,910 379.56 64 0.2% 0
Cordeiros – 8,265 7,722 525.45 16 0.1% 0
Coribe – 13,866 13,846 2,672.73 5 0.1% 0
Coronel João Sá – 16,204 16,620 800.49 20 0.1% 0
Correntina – 31,837 32,642 11,545.11 3 0.2% 0
Cotegipe – 14,043 13,053 4,301.8 3 0.1% 0
Cravolândia – 4,593 3,909 183.43 25 0% 0
Crisópolis – 24,577 21,595 639.12 38 0.2% 0
Cristópolis – 13,823 14,331 1,058.3 13 0.1% 0
Cruz das Almas – 62,345 63,081 139.54 447 0.4% 0
Curaçá – 28,614 34,032 5,975.95 5 0.2% 0
Dário Meira – 13,028 10,546 414.19 31 0.1% 0
Dias d’Ávila – 82,864 78,193 183.95 450 0.6% 11
Dom Basílio – 12,066 12,217 690.62 17 0.1% 0
Dom Macedo Costa – 4,090 4,826 94.7 43 0% 0
Elísio Medrado – 7,763 7,889 179.63 43 0.1% 0
Encruzilhada – 37,956 34,844 1,897.14 20 0.3% 0
Entre Rios – 44,766 39,563 1,193.23 38 0.3% 3,006
Érico Cardoso – 10,855 10,563 738.17 15 0.1% 0
Esplanada – 36,724 34,317 1,305.06 28 0.2% 775
Euclides da Cunha – 58,038 64,497 2,034.92 29 0.4% 0
Eunápolis – 111,404 119,983 1,433.02 78 0.7% 0
Fátima – 16,574 17,434 365.45 45 0.1% 0
Feira da Mata – 5,673 5,347 1,180.99 5 0% 0
Feira de Santana – 661,748 649,489 1,309.74 505 4.4% 0
Filadélfia – 17,403 19,298 581.9 30 0.1% 0
Firmino Alves – 5,641 4,612 174.17 32 0% 0
Floresta Azul – 10,901 10,955 321.93 34 0.1% 0
Formosa do Rio Preto – 24,261 27,609 15,696.63 2 0.2% 0
Gandu – 32,402 32,892 230.28 141 0.2% 0
Gavião – 4,440 4,407 386.21 11 0% 0
Gentio do Ouro – 13,913 13,420 3,833.83 4 0.1% 0
Glória – 17,678 19,109 1,574.01 11 0.1% 0
Gongogi – 11,167 8,229 201.64 55 0.1% 0
Governador Mangabeira – 13,391 11,141 107.02 125 0.1% 0
Guajeru – 10,067 8,182 875.56 11 0.1% 0
Guanambi – 84,320 95,366 1,276.8 66 0.6% 0
Guaratinga – 22,947 18,561 2,196.83 10 0.2% 0
Heliópolis – 11,665 12,313 314.72 37 0.1% 0
Iaçu – 24,397 24,896 2,350.2 10 0.2% 0
Ibiassucê – 11,435 11,278 484.58 24 0.1% 0
Ibicaraí – 23,556 21,716 231.92 102 0.2% 0
Ibicoara – 18,710 22,653 821.79 23 0.1% 0
Ibicuí – 15,339 12,690 1,143.17 13 0.1% 0
Ibipeba – 18,857 18,316 1,388.05 14 0.1% 0
Ibipitanga – 17,313 16,645 958.04 18 0.1% 0
Ibiquera – 4,648 3,963 699.64 7 0% 0
Ibirapitanga – 21,319 24,872 474.7 45 0.1% 0
Ibirapuã – 8,571 9,427 773.89 11 0.1% 0
Ibirataia – 18,039 18,438 319.33 56 0.1% 0
Ibitiara – 15,148 13,254 1,841.94 8 0.1% 0
Ibititá – 24,173 24,986 575.84 42 0.2% 0
Ibotirama – 29,209 30,020 1,747 17 0.2% 0
Ichu – 4,325 4,663 139.32 31 0% 0
Igaporã – 14,698 15,420 840.49 17 0.1% 0
Igrapiúna – 25,560 21,757 592.94 43 0.2% 9,936
Iguaí – 24,957 18,439 863.28 29 0.2% 0
Ilhéus – 108,733 151,232 1,594.04 68 0.7% 16,241
Inhambupe – 40,727 34,922 1,087.25 37 0.3% 0
Ipecaetá – 13,539 12,448 373.92 36 0.1% 0
Ipiaú – 43,332 38,158 281.69 154 0.3% 0
Ipirá – 65,634 61,957 3,119.74 21 0.4% 0
Ipupiara – 9,223 9,983 1,059.02 9 0.1% 0
Irajuba – 7,578 5,908 460.73 16 0.1% 0
Iramaia – 10,231 9,756 1,713.86 6 0.1% 0
Iraquara – 24,501 24,966 995.93 25 0.2% 0
Irará – 27,415 28,565 269.39 102 0.2% 0
Irecê – 69,399 76,836 320.69 216 0.5% 0
Itabela – 30,067 28,489 927.64 32 0.2% 0
Itaberaba – 61,065 65,275 2,395 25 0.4% 0
Itabuna – 237,590 182,444 402.26 591 1.6% 0
Itacaré – 20,445 24,028 727.5 28 0.1% 324
Itaeté – 16,866 13,562 1,337.31 13 0.1% 0
Itagi – 12,845 13,763 312.12 41 0.1% 0
Itagibá – 19,524 18,723 814.34 24 0.1% 0
Itagimirim – 8,545 7,482 879.42 10 0.1% 0
Itaguaçu da Bahia – 13,262 12,265 4,327.8 3 0.1% 0
Itaju do Colônia – 7,097 5,741 1,228.97 6 0% 0
Itajuípe – 19,956 17,201 271.3 74 0.1% 0
Itamaraju – 64,225 58,601 2,367.76 27 0.4% 861
Itamari – 8,492 7,039 144.14 59 0.1% 0
Itambé – 18,921 20,213 1,539.9 12 0.1% 0
Itanagra – 6,794 5,799 535.08 13 0% 0
Itanhém – 19,539 16,394 1,398.61 14 0.1% 0
Itaparica – 24,013 21,127 122.15 197 0.2% 3,017
Itapé – 9,963 10,221 454.55 22 0.1% 0
Itapebi – 10,434 8,779 1,016.41 10 0.1% 0
Itapetinga – 88,211 75,289 1,657.42 53 0.6% 0
Itapicuru – 30,097 29,522 1,562.93 19 0.2% 0
Itapitanga – 10,380 9,997 422.29 25 0.1% 0
Itaquara – 7,789 8,122 345.62 23 0.1% 0
Itarantim – 21,699 19,298 1,681.67 13 0.1% 0
Itatim – 14,422 17,073 550.42 26 0.1% 0
Itiruçu – 12,897 10,186 323.51 40 0.1% 0
Itiúba – 36,721 33,505 1,657.27 22 0.2% 0
Itororó – 6,866 5,262 314.35 22 0% 0
Ituaçu – 19,562 19,234 1,205.18 16 0.1% 0
Ituberá – 17,408 11,705 417.34 42 0.1% 807
Iuiu – 11,509 11,803 1,530.72 8 0.1% 0
Jaborandi – 10,765 11,666 9,992.6 1 0.1% 0
Jacaraci – 14,761 14,905 1,337.6 11 0.1% 0
Jacobina – 81,859 87,750 2,201.9 37 0.5% 0
Jaguaquara – 54,063 44,475 927.19 58 0.4% 0
Jaguarari – 35,691 36,688 2,476.59 14 0.2% 0
Jaguaripe – 17,252 18,488 867.31 20 0.1% 3,055
Jandaíra – 10,303 8,921 643.18 16 0.1% 1,340
Jequié – 162,590 167,793 2,979.91 55 1.1% 0
Jeremoabo – 39,460 39,214 4,286.14 9 0.3% 0
Jiquiriçá – 13,884 12,165 240.06 58 0.1% 0
Jitaúna – 4,425 6,021 262.58 17 0% 0
João Dourado – 25,793 27,281 916.66 28 0.2% 0
Juazeiro – 213,130 264,319 6,747.85 32 1.4% 0
Jucuruçu – 11,128 10,594 1,462.67 8 0.1% 0
Jussara – 16,966 18,139 1,360.87 12 0.1% 0
Jussari – 6,251 5,600 330.51 19 0% 0
Jussiape – 6,811 6,508 591 12 0% 0
Lafaiete Coutinho – 3,861 4,304 501.46 8 0% 0
Lagoa Real – 14,359 13,904 916.61 16 0.1% 0
Laje – 26,109 24,078 451.44 58 0.2% 0
Lajedão – 4,961 4,993 627.98 8 0% 0
Lajedinho – 3,449 3,270 850.2 4 0% 0
Lajedo do Tabocal – 8,481 7,248 383.45 22 0.1% 0
Lamarão – 9,267 9,021 189.45 49 0.1% 0
Lapão – 26,638 25,877 645.35 41 0.2% 0
Lauro de Freitas – 146,627 140,153 58.19 2,520 1% 4,025
Lençóis – 10,909 11,059 1,289.01 8 0.1% 0
Licínio de Almeida – 13,403 12,898 859.15 16 0.1% 0
Livramento de Nossa Senhora – 44,133 46,111 1,959.96 23 0.3% 0
Luís Eduardo Magalhães – 70,567 124,102 4,051.62 17 0.5% 0
Macajuba – 11,299 10,004 703.4 16 0.1% 0
Macarani – 18,519 24,215 1,214.55 15 0.1% 0
Macaúbas – 46,848 40,990 2,468.4 19 0.3% 0
Macururé – 4,947 6,356 2,556.02 2 0% 0
Madre de Deus – 27,731 24,214 31.79 872 0.2% 0
Maetinga – 5,263 6,865 617.06 9 0% 0
Maiquinique – 9,011 8,476 590.04 15 0.1% 0
Mairi – 19,139 17,146 910.16 21 0.1% 0
Malhada – 14,108 12,727 1,987.63 7 0.1% 0
Malhada de Pedras – 8,377 8,613 552.88 15 0.1% 0
Manoel Vitorino – 14,167 13,558 2,210.87 6 0.1% 0
Mansidão – 13,288 14,751 3,142.65 4 0.1% 0
Maracás – 23,880 29,466 2,422.36 10 0.2% 0
Maragogipe – 36,786 28,292 439.43 84 0.2% 7,932

The first 250 of 419 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
647.5 H3 cells
Bandari
1 H3 cells
Viwanja vya ndege
None at this resolution
Major roads
9,717.4 H3 cells
Reli
1,591.1 H3 cells
Rivers and lakes
1,511.4 H3 cells
06Hatari

Risk values

Values when released. Subnational risk values for Bahia 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.