NXS-GRX-BRA · South America · Regions

Parana

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

Page GRX-BRA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO BRA / BRStatus UN member stateValues not yet publishedMethod v1.0.0-draft

11,626,627

people (GHSL 2025)

199,287 km²

area

5.4%

of Brazil

398

units inside

01Map

Inside Parana

The 398 ADM2 units of Parana.

FIG 1 · 398 units inside Parana

Loading the map

Colour by

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.

People · GHSL 2025

11,626,627

5.4% of Brazil.

People · WorldPop 2025

12,239,371

+5% against GHSL; the two grids differ in method.

Area

199,287 km²

58 people per km².

Code

BR-PR

Subdivision code as carried by the boundary source.

Low coastal zone

121,484

people on land at or below 10 m, 1.0% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Parana 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

11,444,380

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

Poverty headcount · 2015-12-31

2.3%

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

04Units

398 units inside Parana

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)

Filter units

Unit	Code	People (GHSL)	People (WorldPop)	Area km²	Per km²	Share	Coast ≤ 10 m
Abatiá	–	6,354	6,428	229.19	28	0.1%	0
Adrianópolis	–	10,330	10,481	1,350.77	8	0.1%	0
Agudos do Sul	–	8,357	9,997	192.29	43	0.1%	0
Almirante Tamandaré	–	84,079	94,836	195.15	431	0.7%	0
Altamira do Paraná	–	3,873	3,361	387.59	10	0%	0
Alto Paraíso	–	3,430	3,125	970.69	4	0%	0
Alto Paraná	–	14,500	14,472	408.02	36	0.1%	0
Alto Piquiri	–	10,018	9,697	448.86	22	0.1%	0
Altônia	–	21,249	18,128	663.55	32	0.2%	0
Alvorada do Sul	–	10,866	10,459	424.79	26	0.1%	0
Amaporã	–	5,953	4,354	385.88	15	0.1%	0
Ampére	–	19,146	21,211	298.73	64	0.2%	0
Anahy	–	2,720	2,990	102.77	26	0%	0
Andirá	–	13,853	10,291	236.54	59	0.1%	0
Ângulo	–	2,952	3,410	106.09	28	0%	0
Antonina	–	19,881	17,962	884.1	22	0.2%	6,160
Antônio Olinto	–	6,854	6,199	470.51	15	0.1%	0
Apucarana	–	141,986	139,366	559.91	254	1.2%	0
Arapongas	–	129,158	127,425	383.33	337	1.1%	0
Arapoti	–	27,001	26,108	1,362.83	20	0.2%	0
Arapuã	–	3,119	3,347	217.73	14	0%	0
Araruna	–	14,115	14,995	494.08	29	0.1%	0
Araucária	–	138,490	174,652	470.44	294	1.2%	0
Ariranha do Ivaí	–	2,524	2,624	239.18	11	0%	0
Assaí	–	17,728	12,992	440.8	40	0.2%	0
Assis Chateaubriand	–	34,614	38,985	971.87	36	0.3%	0
Astorga	–	26,431	27,158	436.06	61	0.2%	0
Atalaia	–	3,894	3,861	138.27	28	0%	0
Balsa Nova	–	10,715	12,531	349.67	31	0.1%	0
Bandeirantes	–	32,459	31,347	446.42	73	0.3%	0
Barbosa Ferraz	–	13,313	11,247	539.04	25	0.1%	0
Barra do Jacaré	–	10,440	12,449	115.95	90	0.1%	0
Barracão	–	8,692	6,545	171.82	51	0.1%	0
Bela Vista da Caroba	–	3,704	3,887	148.69	25	0%	0
Bela Vista do Paraíso	–	16,695	15,514	244.11	68	0.1%	0
Bituruna	–	16,768	15,065	1,230.8	14	0.1%	0
Boa Esperança	–	4,641	4,784	303.53	15	0%	0
Boa Esperança do Iguaçu	–	3,213	2,748	152.07	21	0%	0
Boa Ventura de São Roque	–	7,021	6,576	621.43	11	0.1%	0
Boa Vista da Aparecida	–	8,022	7,904	257.87	31	0.1%	0
Bocaiúva do Sul	–	14,315	16,247	827.92	17	0.1%	0
Bom Jesus do Sul	–	3,667	3,882	174.08	21	0%	0
Bom Sucesso	–	7,013	6,752	323.36	22	0.1%	0
Bom Sucesso do Sul	–	3,809	3,666	195.78	19	0%	0
Borrazópolis	–	8,550	8,601	336.22	25	0.1%	0
Braganey	–	5,716	4,393	343.93	17	0%	0
Brasilândia do Sul	–	3,179	3,991	290.77	11	0%	0
Cafeara	–	2,870	2,646	185.85	15	0%	0
Cafelândia	–	16,202	20,261	271.81	60	0.1%	0
Cafezal do Sul	–	4,441	4,746	336.98	13	0%	0
Califórnia	–	8,955	9,394	142.27	63	0.1%	0
Cambará	–	25,637	23,737	367.63	70	0.2%	0
Cambé	–	66,642	76,500	495.42	135	0.6%	0
Cambira	–	7,938	10,497	163.57	49	0.1%	0
Campina da Lagoa	–	15,714	16,244	798.53	20	0.1%	0
Campina do Simão	–	3,973	3,735	448.89	9	0%	0
Campina Grande do Sul	–	27,258	30,761	540.14	50	0.2%	0
Campo Bonito	–	4,848	4,374	435.15	11	0%	0
Campo do Tenente	–	8,025	7,846	304.71	26	0.1%	0
Campo Largo	–	116,480	140,286	1,246.23	93	1%	0
Campo Magro	–	31,166	34,435	276.01	113	0.3%	0
Campo Mourão	–	88,326	103,355	750.87	118	0.8%	0
Cândido de Abreu	–	16,219	14,351	1,515.05	11	0.1%	0
Candói	–	14,909	15,201	1,515.76	10	0.1%	0
Cantagalo	–	13,530	9,896	584.54	23	0.1%	0
Capanema	–	18,091	20,318	420.23	43	0.2%	0
Capitão Leônidas Marques	–	15,702	14,151	276.43	57	0.1%	0
Carambeí	–	21,409	24,803	651.06	33	0.2%	0
Carlópolis	–	15,336	18,256	453.12	34	0.1%	0
Cascavel	–	344,182	371,378	2,104.62	164	3%	0
Castro	–	71,350	76,815	2,537.52	28	0.6%	0
Catanduvas	–	10,462	10,756	584.24	18	0.1%	0
Centenário do Sul	–	11,760	10,919	372.81	32	0.1%	0
Cerro Azul	–	18,824	16,441	1,343.44	14	0.2%	0
Céu Azul	–	14,761	14,023	1,181.1	12	0.1%	0
Chopinzinho	–	21,188	23,000	962.25	22	0.2%	0
Cianorte	–	79,948	84,922	813.49	98	0.7%	0
Cidade Gaúcha	–	12,136	11,867	404.28	30	0.1%	0
Clevelândia	–	18,231	14,772	705.46	26	0.2%	0
Colombo	–	245,065	263,972	197.99	1,238	2.1%	0
Colorado	–	23,799	23,771	403.97	59	0.2%	0
Congonhinhas	–	8,424	8,296	537.57	16	0.1%	0
Conselheiro Mairinck	–	4,013	3,497	205.09	20	0%	0
Contenda	–	16,652	19,782	299.74	56	0.1%	0
Corbélia	–	17,703	18,694	530.06	33	0.2%	0
Cornélio Procópio	–	53,493	47,914	636.08	84	0.5%	0
Coronel Domingos Soares	–	7,272	5,060	1,565.88	5	0.1%	0
Coronel Vivida	–	21,865	24,455	684.47	32	0.2%	0
Corumbataí do Sul	–	3,298	2,514	164.59	20	0%	0
Cruz Machado	–	19,039	15,116	1,481.19	13	0.2%	0
Cruzeiro do Iguaçu	–	4,238	4,128	162.18	26	0%	0
Cruzeiro do Oeste	–	21,078	25,394	777.44	27	0.2%	0
Cruzeiro do Sul	–	4,344	4,563	260.29	17	0%	0
Cruzmaltina	–	2,435	2,127	312.47	8	0%	0
Curitiba	–	1,903,864	1,927,211	435.59	4,371	16.6%	0
Curiúva	–	15,832	14,578	577.71	27	0.1%	0
Diamante D’Oeste	–	4,911	4,200	309.47	16	0%	0
Diamante do Norte	–	5,847	5,286	243.21	24	0.1%	0
Diamante do Sul	–	3,873	3,384	347.89	11	0%	0
Dois Vizinhos	–	39,632	48,602	419.64	94	0.3%	0
Douradina	–	8,482	9,857	420.48	20	0.1%	0
Doutor Camargo	–	7,149	8,271	118.35	60	0.1%	0
Doutor Ulysses	–	5,384	5,375	778.59	7	0%	0
Enéas Marques	–	5,746	5,600	192.86	30	0.1%	0
Engenheiro Beltrão	–	14,466	11,992	469.93	31	0.1%	0
Entre Rios do Oeste	–	3,682	3,751	122.98	30	0%	0
Esperança Nova	–	2,054	1,849	138.46	15	0%	0
Espigão Alto do Iguaçu	–	4,849	5,075	327.44	15	0%	0
Farol	–	3,556	2,848	289.76	12	0%	0
Faxinal	–	22,986	22,316	716.9	32	0.2%	0
Fazenda Rio Grande	–	60,078	125,110	116.74	515	0.5%	0
Fênix	–	5,112	4,393	234.9	22	0%	0
Fernandes Pinheiro	–	6,428	6,631	407.74	16	0.1%	0
Figueira	–	7,750	7,286	130.31	59	0.1%	0
Flor da Serra do Sul	–	2,792	2,205	238.92	12	0%	0
Floraí	–	3,659	3,276	191.6	19	0%	0
Floresta	–	6,381	11,603	159.57	40	0.1%	0
Florestópolis	–	11,693	11,975	246.84	47	0.1%	0
Flórida	–	307	285	84.02	4	0%	0
Formosa do Oeste	–	7,420	7,804	276.28	27	0.1%	0
Foz do Iguaçu	–	278,356	320,162	619.55	449	2.4%	0
Foz do Jordão	–	6,645	4,984	235.93	28	0.1%	0
Francisco Alves	–	6,643	8,850	322.96	21	0.1%	0
Francisco Beltrão	–	86,634	103,401	736.16	118	0.8%	0
General Carneiro	–	14,127	10,062	1,073.17	13	0.1%	0
Godoy Moreira	–	3,165	2,738	131.57	24	0%	0
Goioerê	–	36,179	33,986	564.68	64	0.3%	0
Goioxim	–	7,176	5,875	705	10	0.1%	0
Grandes Rios	–	5,923	4,937	314.63	19	0.1%	0
Guaíra	–	34,032	34,798	564.87	60	0.3%	0
Guairaçá	–	6,685	6,714	495.11	14	0.1%	0
Guamiranga	–	8,352	7,959	244.83	34	0.1%	0
Guapirama	–	4,156	4,989	190.06	22	0%	0
Guaporema	–	2,064	2,181	202.04	10	0%	0
Guaraci	–	4,549	3,965	212.85	21	0%	0
Guaraniaçu	–	14,542	13,531	1,240.3	12	0.1%	0
Guarapuava	–	193,536	190,825	3,175.3	61	1.7%	0
Guaraqueçaba	–	7,428	6,846	2,021.83	4	0.1%	1,886
Guaratuba	–	36,465	39,738	1,331.04	27	0.3%	14,581
Honório Serpa	–	5,383	4,165	503.38	11	0%	0
Ibaiti	–	31,264	30,349	899.78	35	0.3%	0
Ibema	–	6,593	6,667	145.13	45	0.1%	0
Ibiporã	–	76,297	74,397	298.9	255	0.7%	0
Icaraíma	–	8,957	9,195	676.7	13	0.1%	0
Iguaraçu	–	4,230	5,821	165.69	26	0%	0
Iguatu	–	2,336	2,107	107.11	22	0%	0
Imbaú	–	13,248	15,266	331.34	40	0.1%	0
Imbituva	–	31,993	31,236	758.62	42	0.3%	0
Inácio Martins	–	11,433	9,260	937.5	12	0.1%	0
Inajá	–	3,238	2,376	195.6	17	0%	0
Indianópolis	–	3,274	3,546	123.07	27	0%	0
Ipiranga	–	14,677	14,603	929.13	16	0.1%	0
Iporã	–	15,674	17,002	649.18	24	0.1%	0
Iracema do Oeste	–	2,690	2,450	81.31	33	0%	0
Irati	–	59,212	60,977	1,001.25	59	0.5%	0
Iretama	–	10,837	11,017	571.69	19	0.1%	0
Itaguajé	–	4,406	4,433	190.44	23	0%	0
Itaipulândia	–	8,600	8,865	331.15	26	0.1%	0
Itambaracá	–	6,829	5,601	208.07	33	0.1%	0
Itambé	–	6,431	6,462	245.03	26	0.1%	0
Itapejara d’Oeste	–	10,935	12,596	255.19	43	0.1%	0
Itaperuçu	–	32,866	41,271	320.87	102	0.3%	0
Itapoá	–	19,656	36,153	247.39	79	0.2%	6,942
Itaúna do Sul	–	3,604	3,664	129.7	28	0%	0
Ivaí	–	12,865	12,951	609.43	21	0.1%	0
Ivaiporã	–	32,843	34,262	432.41	76	0.3%	0
Ivaté	–	7,995	6,576	411.61	19	0.1%	0
Ivatuba	–	2,727	2,297	96.57	28	0%	0
Jaboti	–	9,367	10,520	139.46	67	0.1%	0
Jacarezinho	–	41,159	42,151	603.75	68	0.4%	0
Jaguapitã	–	13,316	16,515	476.15	28	0.1%	0
Jaguariaíva	–	35,673	36,710	1,455.81	25	0.3%	0
Jandaia do Sul	–	19,688	21,163	187.44	105	0.2%	0
Janiópolis	–	5,584	5,265	336.99	17	0%	0
Japira	–	4,237	4,591	189.5	22	0%	0
Japurá	–	9,399	9,708	165.64	57	0.1%	0
Jardim Alegre	–	13,080	12,752	414.93	32	0.1%	0
Jataizinho	–	767	592	159.87	5	0%	0
Jesuítas	–	9,552	11,716	247.69	39	0.1%	0
Joaquim Távora	–	11,008	12,241	288.68	38	0.1%	0
Jundiaí do Sul	–	3,638	3,454	321.58	11	0%	0
Juranda	–	6,869	7,127	355.22	19	0.1%	0
Jussara	–	7,026	6,905	208.71	34	0.1%	0
Kaloré	–	4,628	4,713	193.89	24	0%	0
Lapa	–	49,495	47,744	2,097.87	24	0.4%	0
Laranjal	–	5,940	4,977	560.53	11	0.1%	0
Laranjeiras do Sul	–	32,777	34,627	675.04	49	0.3%	0
Leópolis	–	3,839	3,566	345.79	11	0%	0
Lidianópolis	–	3,849	4,113	151.72	25	0%	0
Lindoeste	–	5,372	5,342	363.16	15	0%	0
Loanda	–	26,416	27,671	725.41	36	0.2%	0
Lobato	–	7,312	7,282	240.98	30	0.1%	0
Londrina	–	617,158	626,283	1,657.55	372	5.4%	0
Luiziana	–	7,358	6,379	918.64	8	0.1%	0
Lunardelli	–	5,262	4,725	198.49	27	0%	0
Mallet	–	13,999	13,955	756.09	19	0.1%	0
Mamborê	–	14,408	13,532	790.68	18	0.1%	0
Mandaguaçu	–	29,820	43,670	295	101	0.3%	0
Mandaguari	–	36,958	40,784	337.23	110	0.3%	0
Mandirituba	–	27,665	34,314	380.05	73	0.2%	0
Manfrinópolis	–	2,750	2,498	216.82	13	0%	0
Mangueirinha	–	17,241	16,273	1,056.6	16	0.2%	0
Manoel Ribas	–	14,087	15,280	573.41	25	0.1%	0
Marechal Cândido Rondon	–	50,650	59,276	746.51	68	0.4%	0
Maria Helena	–	6,560	6,157	487.22	13	0.1%	0
Marialva	–	34,370	46,893	477.13	72	0.3%	0
Marilândia do Sul	–	9,258	9,193	385.38	24	0.1%	0
Marilena	–	6,730	7,600	232.12	29	0.1%	0
Mariluz	–	10,613	9,771	434.31	24	0.1%	0
Maringá	–	413,422	416,988	486.86	849	3.6%	0
Mariópolis	–	6,459	6,612	230.88	28	0.1%	0
Maripá	–	6,296	7,565	284.74	22	0.1%	0
Marmeleiro	–	20,890	24,025	389.01	54	0.2%	0
Marquinho	–	5,336	4,575	509.92	10	0%	0
Marumbi	–	4,957	4,986	208.89	24	0%	0
Matelândia	–	15,459	17,792	640.5	24	0.1%	0
Matinhos	–	6,639	8,073	118.07	56	0.1%	1,384
Mato Rico	–	3,947	3,136	395.53	10	0%	0
Mauá da Serra	–	4,134	4,724	108.84	38	0%	0
Medianeira	–	45,785	58,861	329.85	139	0.4%	0
Mercedes	–	5,119	6,115	199.2	26	0%	0
Mirador	–	2,585	2,255	221.98	12	0%	0
Miraselva	–	1,948	2,105	90.55	22	0%	0
Missal	–	13,902	16,096	325.64	43	0.1%	0
Moreira Sales	–	6,788	5,767	354.65	19	0.1%	0
Morretes	–	16,095	19,511	685.63	23	0.1%	845
Munhoz de Melo	–	1,148	1,142	137.06	8	0%	0
Nossa Senhora das Graças	–	4,959	4,249	185.92	27	0%	0
Nova Aliança do Ivaí	–	1,563	1,302	131.66	12	0%	0
Nova América da Colina	–	3,607	3,265	129.98	28	0%	0
Nova Aurora	–	12,121	14,897	475.4	25	0.1%	0
Nova Cantu	–	6,789	6,492	556.14	12	0.1%	0
Nova Esperança	–	28,627	27,846	402.37	71	0.2%	0
Nova Esperança do Sudoeste	–	5,368	5,913	208.55	26	0%	0
Nova Fátima	–	8,768	7,046	283.32	31	0.1%	0
Nova Laranjeiras	–	12,274	12,236	1,212.37	10	0.1%	0
Nova Londrina	–	13,442	13,592	270.36	50	0.1%	0
Nova Olímpia	–	5,773	5,948	135.62	43	0.1%	0
Nova Prata do Iguaçu	–	11,437	14,419	353.43	32	0.1%	0
Nova Santa Bárbara	–	4,133	4,316	71.91	57	0%	0
Nova Santa Rosa	–	8,187	8,996	205.32	40	0.1%	0
Nova Tebas	–	6,767	6,377	546.67	12	0.1%	0
Novo Itacolomi	–	2,544	2,884	161.54	16	0%	0
Ortigueira	–	23,771	24,770	2,435.18	10	0.2%	0
Ourizona	–	3,555	3,175	176.87	20	0%	0
Ouro Verde do Oeste	–	6,109	7,362	293.94	21	0.1%	0
Paiçandu	–	7,842	11,799	172.06	46	0.1%	0
Palmas	–	49,055	52,102	1,560.61	31	0.4%	0
Palmeira	–	34,314	35,512	1,473	23	0.3%	0
Palmital	–	15,112	12,419	819.42	18	0.1%	0

The first 250 of 398 units; the CSV carries all of them, and the map reaches each one.

05Exposure

Open exposure layers

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

Urban areas: 1,765.9 H3 cells
Ports: 1 H3 cells
Airports: 1 H3 cells
Major roads: 5,028.7 H3 cells
Railways: 2,117 H3 cells
Rivers and lakes: 1,018.2 H3 cells

06Risk

Risk values

Values when released. Subnational risk values for Parana 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

08Sources

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.

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.

What NXS-GRX is not

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.

Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.

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.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

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.

Parana

Inside Parana

People, area and density

11,626,627

12,239,371

199,287 km²

BR-PR

121,484

Parana in humanitarian data

11,444,380

2.3%

398 units inside Parana

Open exposure layers

Risk values

Neighbouring units

Sources, credits and licences

Status

What NXS-GRX is not

Institutions and sources

Not for profit

Who funds us

Independence

Licence