Rio de Jeneiro
First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.
Inside Rio de Jeneiro
The 90 ADM2 units of Rio de Jeneiro.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
17,620,667
8.2% of Brazil.
16,223,232
-8% against GHSL; the two grids differ in method.
45,827 km²
385 people per km².
BR-RJ
Subdivision code as carried by the boundary source.
2,523,313
people on land at or below 10 m, 14.3% of the unit (GEBCO 2024 and GHSL 2025).
90 units inside Rio de Jeneiro
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 |
|---|---|---|---|---|---|---|---|
| Angra dos Reis | – | 127,438 | 122,186 | 809.6 | 157 | 0.8% | 15,895 |
| Antônio Prado de Minas | – | 2,233 | 1,872 | 84 | 27 | 0% | 0 |
| Aperibé | – | 10,099 | 10,712 | 94.46 | 107 | 0.1% | 0 |
| Araruama | – | 132,434 | 138,578 | 640.36 | 207 | 0.8% | 52,408 |
| Areal | – | 8,783 | 8,791 | 111.05 | 79 | 0.1% | 0 |
| Armação dos Búzios | – | 20,624 | 28,124 | 70.49 | 293 | 0.1% | 3,524 |
| Arraial do Cabo | – | 34,911 | 38,958 | 152.4 | 229 | 0.2% | 13,456 |
| Barra do Piraí | – | 95,693 | 93,178 | 585.83 | 163 | 0.6% | 0 |
| Barra Mansa | – | 164,894 | 145,776 | 548.5 | 301 | 1% | 0 |
| Belford Roxo | – | 427,249 | 408,386 | 79.15 | 5,398 | 2.5% | 31,841 |
| Bom Jardim | – | 28,712 | 31,078 | 383.39 | 75 | 0.2% | 0 |
| Cabo Frio | – | 243,340 | 231,667 | 415.2 | 586 | 1.5% | 120,135 |
| Cachoeiras de Macacu | – | 59,984 | 59,171 | 957.42 | 63 | 0.4% | 391 |
| Cambuci | – | 16,078 | 15,832 | 560.8 | 29 | 0.1% | 0 |
| Campos dos Goytacazes | – | 504,864 | 493,756 | 4,047.12 | 125 | 3% | 304,623 |
| Cantagalo | – | 24,290 | 22,296 | 749.21 | 32 | 0.1% | 0 |
| Carapebus | – | 16,662 | 15,106 | 305.18 | 55 | 0.1% | 659 |
| Cardoso Moreira | – | 13,293 | 14,166 | 521.48 | 25 | 0.1% | 13 |
| Carmo | – | 16,917 | 16,536 | 307.85 | 55 | 0.1% | 0 |
| Casimiro de Abreu | – | 30,266 | 26,763 | 463.81 | 65 | 0.2% | 379 |
| Conceição de Macabu | – | 22,945 | 21,709 | 340.07 | 67 | 0.1% | 1 |
| Cordeiro | – | 23,457 | 22,230 | 113.02 | 208 | 0.1% | 0 |
| Duas Barras | – | 11,650 | 11,108 | 381.44 | 31 | 0.1% | 0 |
| Duque de Caxias | – | 1,233,869 | 1,052,355 | 468.43 | 2,634 | 7.4% | 446,852 |
| Engenheiro Paulo de Frontin | – | 19,137 | 15,890 | 138.76 | 138 | 0.1% | 0 |
| Guapimirim | – | 87,694 | 82,064 | 359.96 | 244 | 0.5% | 38,327 |
| Iguaba Grande | – | 23,808 | 26,060 | 51.43 | 463 | 0.1% | 5,135 |
| Itaboraí | – | 267,067 | 252,804 | 431.08 | 620 | 1.6% | 33,478 |
| Itaguaí | – | 135,796 | 123,412 | 282.37 | 481 | 0.8% | 70,944 |
| Italva | – | 15,732 | 15,322 | 290.31 | 54 | 0.1% | 0 |
| Itaocara | – | 26,344 | 24,445 | 433.77 | 61 | 0.2% | 0 |
| Itaperuna | – | 103,051 | 103,586 | 1,110.57 | 93 | 0.6% | 0 |
| Itatiaia | – | 40,235 | 41,818 | 240.15 | 168 | 0.2% | 0 |
| Japeri | – | 92,939 | 91,597 | 82.06 | 1,133 | 0.6% | 0 |
| Laje do Muriaé | – | 7,803 | 6,974 | 253.77 | 31 | 0% | 0 |
| Macaé | – | 247,903 | 238,529 | 1,220.49 | 203 | 1.5% | 75,252 |
| Macuco | – | 206 | 561 | 78.19 | 3 | 0% | 0 |
| Magé | – | 211,213 | 179,825 | 391.53 | 539 | 1.3% | 23,782 |
| Mangaratiba | – | 30,577 | 34,086 | 366.03 | 84 | 0.2% | 3,693 |
| Maricá | – | 119,570 | 139,977 | 362.79 | 330 | 0.7% | 33,604 |
| Mendes | – | 17,031 | 16,639 | 95.49 | 178 | 0.1% | 0 |
| Mesquita | – | 359,506 | 316,845 | 40.92 | 8,786 | 2.1% | 0 |
| Miguel Pereira | – | 20,215 | 22,891 | 289.29 | 70 | 0.1% | 0 |
| Miracema | – | 28,302 | 27,541 | 303.27 | 93 | 0.2% | 0 |
| Natividade | – | 16,476 | 16,531 | 388.29 | 42 | 0.1% | 0 |
| Nilópolis | – | 238,336 | 198,952 | 19.1 | 12,478 | 1.4% | 0 |
| Niterói | – | 336,033 | 362,913 | 133.78 | 2,512 | 2% | 21,807 |
| Nova Friburgo | – | 188,653 | 194,558 | 937.79 | 201 | 1.1% | 0 |
| Nova Iguaçu | – | 662,774 | 618,832 | 521.79 | 1,270 | 4% | 3,112 |
| Paracambi | – | 62,400 | 45,176 | 191.84 | 325 | 0.4% | 0 |
| Paraíba do Sul | – | 44,876 | 42,845 | 573.4 | 78 | 0.3% | 0 |
| Paraty | – | 38,815 | 43,094 | 922.83 | 42 | 0.2% | 6,118 |
| Paty do Alferes | – | 35,792 | 37,949 | 314.13 | 114 | 0.2% | 0 |
| Petrópolis | – | 262,134 | 236,819 | 793.09 | 331 | 1.6% | 0 |
| Pinheiral | – | 28,638 | 31,696 | 82.81 | 346 | 0.2% | 0 |
| Piraí | – | 36,334 | 34,860 | 491.38 | 74 | 0.2% | 0 |
| Porto Real | – | 14,520 | 15,192 | 51.04 | 284 | 0.1% | 0 |
| Quatis | – | 18,313 | 19,631 | 285.58 | 64 | 0.1% | 0 |
| Queimados | – | 114,410 | 105,393 | 76.13 | 1,503 | 0.7% | 0 |
| Quissamã | – | 23,142 | 21,600 | 720.52 | 32 | 0.1% | 19,631 |
| Resende | – | 121,206 | 129,321 | 1,102.96 | 110 | 0.7% | 0 |
| Rio Bonito | – | 59,861 | 57,971 | 460.71 | 130 | 0.4% | 0 |
| Rio Claro | – | 18,794 | 17,611 | 849.08 | 22 | 0.1% | 0 |
| Rio das Flores | – | 7,666 | 8,222 | 479.61 | 16 | 0% | 0 |
| Rio das Ostras | – | 160,545 | 175,786 | 229.04 | 701 | 1% | 57,086 |
| Rio de Janeiro | – | 6,453,608 | 6,027,394 | 1,203.82 | 5,361 | 38.5% | 874,590 |
| Santa Maria Madalena | – | 11,481 | 11,137 | 812.13 | 14 | 0.1% | 0 |
| Santo Antônio de Pádua | – | 40,193 | 39,523 | 606.28 | 66 | 0.2% | 0 |
| São Fidélis | – | 40,672 | 40,241 | 1,036.82 | 39 | 0.2% | 0 |
| São Francisco de Itabapoana | – | 45,099 | 47,587 | 1,121.99 | 40 | 0.3% | 14,498 |
| São Gonçalo | – | 1,087,743 | 851,177 | 248.46 | 4,378 | 6.5% | 144,872 |
| São João da Barra | – | 37,236 | 42,700 | 453.85 | 82 | 0.2% | 25,852 |
| São João de Meriti | – | 357,962 | 298,813 | 35.55 | 10,069 | 2.1% | 58,958 |
| São José de Ubá | – | 7,784 | 7,639 | 250.04 | 31 | 0% | 0 |
| São José do Vale do Rio Preto | – | 24,427 | 26,143 | 221.1 | 110 | 0.1% | 0 |
| São Pedro da Aldeia | – | 80,446 | 87,758 | 331.53 | 243 | 0.5% | 28,757 |
| São Sebastião do Alto | – | 10,684 | 8,900 | 398.56 | 27 | 0.1% | 0 |
| Sapucaia | – | 10,623 | 11,417 | 541.96 | 20 | 0.1% | 0 |
| Saquarema | – | 85,783 | 95,382 | 353.55 | 243 | 0.5% | 19,715 |
| Seropédica | – | 125,748 | 135,147 | 265.21 | 474 | 0.7% | 16,665 |
| Silva Jardim | – | 23,422 | 22,707 | 940.53 | 25 | 0.1% | 174 |
| Sumidouro | – | 18,172 | 18,208 | 412.38 | 44 | 0.1% | 0 |
| Tanguá | – | 31,800 | 28,963 | 143.2 | 222 | 0.2% | 0 |
| Teresópolis | – | 165,182 | 165,566 | 775.41 | 213 | 1% | 0 |
| Trajano de Moraes | – | 11,457 | 11,401 | 593.11 | 19 | 0.1% | 0 |
| Três Rios | – | 74,723 | 74,809 | 322.88 | 231 | 0.4% | 0 |
| Valença | – | 81,317 | 68,988 | 1,303.83 | 62 | 0.5% | 0 |
| Varre-Sai | – | 10,287 | 10,126 | 202.01 | 51 | 0.1% | 0 |
| Vassouras | – | 32,992 | 31,869 | 538.41 | 61 | 0.2% | 0 |
| Volta Redonda | – | 293,399 | 288,224 | 182.55 | 1,607 | 1.7% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 1,091.6 H3 cells
- Ports
- None at this resolution
- Airports
- 1 H3 cells
- Major roads
- 806.9 H3 cells
- Railways
- 610.2 H3 cells
- Rivers and lakes
- 134.7 H3 cells
Risk values
Neighbouring units
- BR-MGMinas Gerais
- BR-ESEspirito Santo
- BR-SPSao Paulo
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.
- Countries
- 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.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
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Institutions and sources
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.
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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.