Para
First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.
Inside Para
The 144 ADM2 units of Para.
Bevölkerung, Fläche und Dichte
Quellenbeobachtungen aus offenen Rastern, innerhalb der Grenze summiert; keine Indexwerte.
9,294,936
4.3% of Brazil.
8,324,461
-10% against GHSL; the two grids differ in method.
1,240,913 km²
7 Einwohner pro km².
BR-PA
Untergliederungscode, wie ihn die Grenzquelle führt.
1,265,341
people on land at or below 10 m, 13.6% of the unit (GEBCO 2024 and GHSL 2025).
Para in humanitarian data
Quellenbeobachtungen aus dem Humanitarian Data Exchange, dieser Einheit über den Namen zugeordnet, jeweils mit Stichtag, Anbieter und Lizenz. Sie sind keine Indexwerte.
8,120,131
Menschen. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
10.2%
der Menschen in mehrdimensionaler Armut. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
144 units inside Para
Jede Einheit hat ihre eigene Seite.
Lizenzen der Grenzen: Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Einheit | Code | Einwohner (GHSL) | Einwohner (WorldPop) | Fläche km² | Pro km² | Anteil | Küste ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Abaetetuba | – | 176,000 | 166,330 | 1,617.48 | 109 | 1.9% | 66,075 |
| Abel Figueiredo | – | 21,079 | 18,040 | 617.84 | 34 | 0.2% | 0 |
| Acará | – | 65,632 | 59,316 | 4,364.27 | 15 | 0.7% | 2,445 |
| Afuá | – | 43,841 | 39,148 | 8,377.18 | 5 | 0.5% | 4,130 |
| Água Azul do Norte | – | 31,733 | 15,952 | 7,143.32 | 4 | 0.3% | 0 |
| Alenquer | – | 67,986 | 76,392 | 23,747.94 | 3 | 0.7% | 20,348 |
| Almeirim | – | 55,721 | 40,345 | 73,284.78 | 1 | 0.6% | 25,047 |
| Altamira | – | 147,133 | 138,154 | 160,221.54 | 1 | 1.6% | 0 |
| Anajás | – | 32,294 | 29,809 | 6,942.36 | 5 | 0.3% | 1,767 |
| Ananindeua | – | 446,788 | 433,088 | 191.23 | 2,336 | 4.7% | 91,315 |
| Anapu | – | 32,295 | 36,390 | 11,947.32 | 3 | 0.3% | 103 |
| Augusto Corrêa | – | 50,903 | 46,113 | 1,102.17 | 46 | 0.5% | 9,975 |
| Aurora do Pará | – | 33,072 | 21,696 | 1,820.53 | 18 | 0.4% | 126 |
| Aveiro | – | 19,175 | 19,396 | 17,152.26 | 1 | 0.2% | 4,640 |
| Bagre | – | 33,973 | 37,960 | 4,417.23 | 8 | 0.4% | 3,507 |
| Baião | – | 56,455 | 59,027 | 3,775.55 | 15 | 0.6% | 9,844 |
| Bannach | – | 3,873 | 4,248 | 2,969.27 | 1 | 0% | 0 |
| Barcarena | – | 157,331 | 150,469 | 1,316.2 | 120 | 1.7% | 16,967 |
| Belém | – | 1,651,610 | 1,346,655 | 1,063.49 | 1,553 | 17.5% | 430,419 |
| Belterra | – | 19,137 | 18,061 | 4,417.43 | 4 | 0.2% | 1,643 |
| Benevides | – | 45,152 | 49,909 | 188.41 | 240 | 0.5% | 9,876 |
| Bom Jesus do Tocantins | – | 18,817 | 19,297 | 2,827.17 | 7 | 0.2% | 0 |
| Bonito | – | 17,993 | 12,286 | 587.92 | 31 | 0.2% | 0 |
| Bragança | – | 142,362 | 130,100 | 2,135.48 | 67 | 1.5% | 31,865 |
| Brasil Novo | – | 18,058 | 26,664 | 6,390.21 | 3 | 0.2% | 0 |
| Brejo Grande do Araguaia | – | 8,832 | 6,705 | 1,293.03 | 7 | 0.1% | 0 |
| Breu Branco | – | 69,067 | 42,486 | 3,955.29 | 17 | 0.7% | 382 |
| Breves | – | 114,412 | 112,661 | 9,609.46 | 12 | 1.2% | 24,486 |
| Bujaru | – | 33,935 | 25,729 | 999.52 | 34 | 0.4% | 3,144 |
| Cachoeira do Arari | – | 19,850 | 18,096 | 3,113.85 | 6 | 0.2% | 10,375 |
| Cachoeira do Piriá | – | 43,639 | 22,721 | 2,430.8 | 18 | 0.5% | 29 |
| Cametá | – | 155,106 | 143,464 | 3,096.31 | 50 | 1.6% | 39,865 |
| Canaã dos Carajás | – | 42,506 | 96,482 | 3,160.25 | 13 | 0.5% | 0 |
| Capanema | – | 77,260 | 75,390 | 625.75 | 123 | 0.8% | 572 |
| Capitão Poço | – | 60,362 | 59,692 | 2,913.89 | 21 | 0.6% | 4 |
| Castanhal | – | 219,144 | 205,011 | 1,036.32 | 211 | 2.3% | 16 |
| Chaves | – | 25,603 | 21,337 | 12,590.34 | 2 | 0.3% | 12,450 |
| Colares | – | 14,821 | 14,861 | 385.79 | 38 | 0.2% | 1,431 |
| Conceição do Araguaia | – | 54,458 | 45,400 | 5,854.36 | 9 | 0.6% | 0 |
| Concórdia do Pará | – | 32,285 | 22,117 | 702.9 | 46 | 0.3% | 91 |
| Cumaru do Norte | – | 14,871 | 15,197 | 17,156.41 | 1 | 0.2% | 0 |
| Curionópolis | – | 17,287 | 20,363 | 2,381.27 | 7 | 0.2% | 0 |
| Curralinho | – | 28,939 | 25,579 | 3,633.82 | 8 | 0.3% | 4,421 |
| Curuá | – | 15,154 | 14,063 | 1,435.13 | 11 | 0.2% | 6,897 |
| Curuçá | – | 47,360 | 45,312 | 678.95 | 70 | 0.5% | 3,060 |
| Dom Eliseu | – | 69,902 | 64,223 | 5,292.06 | 13 | 0.7% | 0 |
| Eldorado do Carajás | – | 38,373 | 26,869 | 2,970.72 | 13 | 0.4% | 0 |
| Faro | – | 17,959 | 14,804 | 11,824.26 | 2 | 0.2% | 9,655 |
| Floresta do Araguaia | – | 22,695 | 18,597 | 3,458.33 | 7 | 0.2% | 0 |
| Garrafão do Norte | – | 30,827 | 24,799 | 1,614.82 | 19 | 0.3% | 0 |
| Goianésia do Pará | – | 40,069 | 25,082 | 7,057.06 | 6 | 0.4% | 0 |
| Gurupá | – | 39,495 | 33,724 | 8,609.03 | 5 | 0.4% | 3,117 |
| Igarapé-Açu | – | 45,448 | 38,525 | 788.95 | 58 | 0.5% | 74 |
| Igarapé-Miri | – | 70,836 | 67,395 | 2,006.44 | 35 | 0.8% | 18,518 |
| Inhangapi | – | 10,734 | 9,480 | 473.74 | 23 | 0.1% | 982 |
| Ipixuna do Pará | – | 76,437 | 23,710 | 5,238.69 | 15 | 0.8% | 16 |
| Irituia | – | 38,007 | 31,446 | 1,391.53 | 27 | 0.4% | 670 |
| Itaituba | – | 117,531 | 133,730 | 62,309.44 | 2 | 1.2% | 41,410 |
| Itupiranga | – | 60,856 | 48,624 | 7,913.08 | 8 | 0.6% | 0 |
| Jacareacanga | – | 13,628 | 27,573 | 53,535.86 | 0 | 0.1% | 0 |
| Jacundá | – | 65,893 | 32,224 | 2,018.63 | 33 | 0.7% | 0 |
| Juruti | – | 64,820 | 53,526 | 8,340.31 | 8 | 0.7% | 10,952 |
| Limoeiro do Ajuru | – | 32,444 | 32,017 | 1,495.91 | 22 | 0.3% | 5,466 |
| Mãe do Rio | – | 32,956 | 36,845 | 471.32 | 70 | 0.3% | 0 |
| Magalhães Barata | – | 17,432 | 13,380 | 325.78 | 54 | 0.2% | 4,255 |
| Marabá | – | 315,063 | 286,906 | 15,191.47 | 21 | 3.3% | 0 |
| Maracanã | – | 29,107 | 20,941 | 812.01 | 36 | 0.3% | 4,020 |
| Marapanim | – | 16,455 | 11,278 | 807.2 | 20 | 0.2% | 1,801 |
| Marituba | – | 125,340 | 105,013 | 103.16 | 1,215 | 1.3% | 6,525 |
| Medicilândia | – | 35,582 | 28,087 | 8,309.53 | 4 | 0.4% | 0 |
| Melgaço | – | 29,528 | 28,221 | 6,804.27 | 4 | 0.3% | 5,444 |
| Mocajuba | – | 32,893 | 27,300 | 875.08 | 38 | 0.3% | 15,357 |
| Moju | – | 88,746 | 88,907 | 9,137.75 | 10 | 0.9% | 12,607 |
| Mojuí dos Campos | – | 22,756 | 36,117 | 5,009.41 | 5 | 0.2% | 0 |
| Monte Alegre | – | 63,139 | 63,575 | 18,233.08 | 3 | 0.7% | 16,918 |
| Muaná | – | 45,725 | 50,681 | 3,779.3 | 12 | 0.5% | 16,164 |
| Nova Esperança do Piriá | – | 25,229 | 21,809 | 2,821.79 | 9 | 0.3% | 0 |
| Nova Ipixuna | – | 18,904 | 13,890 | 1,571.27 | 12 | 0.2% | 0 |
| Nova Timboteua | – | 18,957 | 14,032 | 492.35 | 39 | 0.2% | 288 |
| Novo Progresso | – | 28,793 | 37,261 | 38,328.57 | 1 | 0.3% | 0 |
| Novo Repartimento | – | 83,672 | 60,415 | 15,468.9 | 5 | 0.9% | 0 |
| Óbidos | – | 61,412 | 55,966 | 28,143.05 | 2 | 0.7% | 15,945 |
| Oeiras do Pará | – | 42,173 | 43,502 | 3,868.87 | 11 | 0.4% | 8,647 |
| Oriximiná | – | 81,449 | 70,919 | 108,096.59 | 1 | 0.9% | 39,756 |
| Ourém | – | 17,372 | 16,212 | 565.17 | 31 | 0.2% | 5 |
| Ourilândia do Norte | – | 34,947 | 34,762 | 14,474.8 | 2 | 0.4% | 0 |
| Pacajá | – | 53,513 | 42,923 | 11,882.32 | 5 | 0.6% | 0 |
| Palestina do Pará | – | 8,071 | 6,293 | 988.71 | 8 | 0.1% | 0 |
| Paragominas | – | 129,529 | 111,212 | 19,427.18 | 7 | 1.4% | 0 |
| Parauapebas | – | 219,775 | 304,305 | 6,916.16 | 32 | 2.3% | 0 |
| Pau D’Arco | – | 6,647 | 7,292 | 1,677.44 | 4 | 0.1% | 0 |
| Peixe-Boi | – | 10,435 | 9,428 | 452.3 | 23 | 0.1% | 302 |
| Piçarra | – | 15,032 | 13,148 | 3,326.95 | 5 | 0.2% | 0 |
| Placas | – | 33,950 | 17,312 | 7,205.19 | 5 | 0.4% | 0 |
| Ponta de Pedras | – | 43,754 | 32,357 | 3,379.58 | 13 | 0.5% | 23,956 |
| Portel | – | 69,508 | 67,998 | 25,498.46 | 3 | 0.7% | 13,535 |
| Porto de Moz | – | 45,215 | 43,473 | 17,500 | 3 | 0.5% | 13,684 |
| Prainha | – | 36,738 | 39,257 | 14,851.69 | 2 | 0.4% | 10,345 |
| Primavera | – | 12,107 | 10,683 | 259.55 | 47 | 0.1% | 984 |
| Quatipuru | – | 15,821 | 11,838 | 304.43 | 52 | 0.2% | 5,539 |
| Redenção | – | 96,471 | 91,191 | 3,840.36 | 25 | 1% | 0 |
| Rio Maria | – | 21,358 | 19,384 | 4,136.38 | 5 | 0.2% | 0 |
| Rondon do Pará | – | 59,142 | 56,949 | 8,284.13 | 7 | 0.6% | 0 |
| Rurópolis | – | 54,034 | 33,667 | 7,052.51 | 8 | 0.6% | 332 |
| Salinópolis | – | 30,864 | 29,348 | 226.75 | 136 | 0.3% | 10,183 |
| Salvaterra | – | 25,848 | 27,397 | 923.27 | 28 | 0.3% | 8,241 |
| Santa Bárbara do Pará | – | 23,483 | 22,118 | 279.88 | 84 | 0.2% | 1,123 |
| Santa Cruz do Arari | – | 6,688 | 5,177 | 1,081.57 | 6 | 0.1% | 4,739 |
| Santa Izabel do Pará | – | 96,406 | 97,512 | 720.51 | 134 | 1% | 706 |
| Santa Luzia do Pará | – | 22,460 | 20,952 | 1,353.88 | 17 | 0.2% | 0 |
| Santa Maria das Barreiras | – | 24,007 | 16,463 | 10,373.73 | 2 | 0.3% | 0 |
| Santa Maria do Pará | – | 28,305 | 25,570 | 459.66 | 62 | 0.3% | 0 |
| Santana do Araguaia | – | 80,871 | 24,970 | 11,638.57 | 7 | 0.9% | 0 |
| Santarém | – | 273,217 | 348,290 | 17,982.35 | 15 | 2.9% | 40,245 |
| Santarém Novo | – | 5,915 | 4,763 | 230.62 | 26 | 0.1% | 77 |
| Santo Antônio do Tauá | – | 30,970 | 25,866 | 539.72 | 57 | 0.3% | 277 |
| São Caetano de Odivelas | – | 21,817 | 18,507 | 467.23 | 47 | 0.2% | 2,094 |
| São Domingos do Araguaia | – | 28,768 | 20,464 | 1,400.31 | 21 | 0.3% | 0 |
| São Domingos do Capim | – | 43,688 | 37,284 | 1,693.39 | 26 | 0.5% | 7,227 |
| São Félix do Xingu | – | 149,379 | 55,731 | 84,573.4 | 2 | 1.6% | 0 |
| São Francisco do Pará | – | 17,268 | 14,753 | 481.88 | 36 | 0.2% | 16 |
| São Geraldo do Araguaia | – | 28,736 | 23,616 | 3,184.73 | 9 | 0.3% | 0 |
| São João da Ponta | – | 3,494 | 2,132 | 196.48 | 18 | 0% | 54 |
| São João de Pirabas | – | 25,833 | 20,896 | 671.28 | 38 | 0.3% | 4,850 |
| São João do Araguaia | – | 16,108 | 13,588 | 1,284.64 | 13 | 0.2% | 0 |
| São Miguel do Guamá | – | 66,263 | 55,311 | 1,099.92 | 60 | 0.7% | 10,081 |
| São Sebastião da Boa Vista | – | 30,134 | 27,601 | 1,640.31 | 18 | 0.3% | 9,309 |
| Sapucaia | – | 6,678 | 6,546 | 1,303.68 | 5 | 0.1% | 0 |
| Senador José Porfírio | – | 13,967 | 24,935 | 14,482.74 | 1 | 0.1% | 3,307 |
| Soure | – | 30,827 | 26,125 | 2,869.11 | 11 | 0.3% | 18,669 |
| Tailândia | – | 118,294 | 70,098 | 4,450.51 | 27 | 1.3% | 0 |
| Terra Alta | – | 13,022 | 10,459 | 205.51 | 63 | 0.1% | 0 |
| Terra Santa | – | 21,164 | 20,052 | 1,904.44 | 11 | 0.2% | 13,218 |
| Tomé-Açu | – | 70,466 | 72,105 | 5,169.04 | 14 | 0.7% | 370 |
| Tracuateua | – | 38,207 | 32,377 | 869.29 | 44 | 0.4% | 7,356 |
| Trairão | – | 21,099 | 14,583 | 12,043.92 | 2 | 0.2% | 0 |
| Tucumã | – | 45,054 | 42,278 | 2,522.57 | 18 | 0.5% | 0 |
| Tucuruí | – | 125,720 | 89,407 | 2,093.26 | 60 | 1.3% | 15,531 |
| Ulianópolis | – | 66,451 | 35,922 | 5,111.35 | 13 | 0.7% | 0 |
| Uruará | – | 53,273 | 42,803 | 10,840.89 | 5 | 0.6% | 0 |
| Vigia | – | 60,924 | 53,908 | 402.15 | 151 | 0.6% | 8,430 |
| Viseu | – | 57,706 | 53,417 | 4,995.57 | 12 | 0.6% | 2,710 |
| Vitória do Xingu | – | 16,882 | 17,255 | 3,103.09 | 5 | 0.2% | 1,875 |
| Xinguara | – | 50,899 | 58,203 | 3,790.11 | 13 | 0.5% | 0 |
Offene Expositionsebenen
Anzahl der H3-Zellen der Auflösung 3, deren Mittelpunkt in der Einheit liegt und die jede Ebene von Natural Earth tragen.
- Städtische Gebiete
- 360.9 H3 cells
- Häfen
- 2 H3-Zellen
- Flughäfen
- 1 H3-Zellen
- Hauptstraßen
- 7,002.8 H3 cells
- Eisenbahnen
- 265.6 H3 cells
- Flüsse und Seen
- 5,898.4 H3 cells
Risikowerte
Quellen, Nachweise und Lizenzen
- ADM1-Grenzen
- geoBoundaries (William & Mary geoLab), gbOpen BRA ADM1, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
- ADM2-Grenzen
- 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
- Grundkarte
- 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.
- Gelände
- 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.
- Bevölkerung
- GHSL 2025 Bevölkerungsraster, Gemeinsame Forschungsstelle der Europäischen Kommission (CC BY 4.0), dargestellt mit 0.05° und je Einheit summiert; WorldPop 2025 (CC BY 4.0) als zweite Schätzung. Einheiten, die kleiner als eine Rasterzelle sind, übernehmen die Dichte der darunterliegenden Zelle.
- Länder
- Natural Earth (gemeinfrei).
- Höhe
- 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
- Grenzen werden nur zur Verortung gezeigt und beziehen keine Stellung zu Grenzen, Namen oder Status.
Status
Methodik, Struktur und Definitionen des Global Risks Index sind ein vorbereitender Arbeitsentwurf (2026), der zur Prüfung und Stellungnahme und nicht zur Umsetzung verbreitet wird. Kein Wert erscheint, bevor eine Ausgabe aus einem geregelten Evidenzschnitt veröffentlicht ist; die Werte tragen dann Intervalle, Klassen, Quellen und ihren Korrekturweg. Die Simulatoren wenden die veröffentlichten Methoden auf Zahlen an, die Sie wählen, und zeigen niemals einen NXS-GRX-Wert.
Ein Länderprofil liest öffentliche Evidenz über einen Ort. Es ist keine Aussage einer Regierung oder über deren Politik, nimmt keine Position zum Status eines Gebiets ein und setzt kein nationales Programm und keine Beteiligung voraus. Die Namen folgen UN M49.
Was NXS-GRX nicht ist
NXS-GRX ist eine Forschungs- und Risikoanalyseinformation. Es ist kein Kredit- oder ESG-Rating und verwendet keine Ratingskala, kein Referenzwert für Finanzinstrumente, keine amtliche Statistik, keine Notfallwarnung oder amtliche Einstufung und keine Beratung. Es darf nicht zur Bewertung natürlicher Personen verwendet werden. Risikoklassen sind Bänder auf einer veröffentlichten Skala, niemals Rangfolgen von Ländern oder Personen.
Pulse-Signale und Ausblickwahrscheinlichkeiten sind Informationen zur Prüfung durch zuständige Behörden, niemals öffentliche Warnungen; amtliche Warnungen kommen nur von beauftragten Behörden.
Institutionen und Quellen
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Jeder Wert trägt die Namensnennung seiner Quellen, die ihre eigenen Lizenzen behalten. Externe Namen werden nur zur Interoperabilität zitiert. Von Nexus verfasste Texte sollen bei Veröffentlichung unter CC BY 4.0 stehen.
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.