| Alam |
'Nanggroë |
Seuningkat |
'Nang nanggroë |
Wilayah (km²) |
Ureuëng duëk (2005) |
'Padat (2005) |
'GDP (% total) (2007) |
GDP per capita PPP (US$) (2007) |
HDI (2005) |
Jeuët beuët (2003) |
Bayi maté (2002) |
Umu udép (2004) |
 |
Acre |
AC |
Rio Branco |
&0000000000152581.400000152.581,4 |
&0000000000656043.000000656.043 |
&0000000000000004.3000004,30 |
&0000000005761000.0000005.761.000 (&0000000000000000.2000000,2%) |
&0000000000008789.0000008.789 |
&0000000000000000.7510000,751 |
84% |
&0000000000000033.20000033,2‰ |
&0000000000000070.80000070,8 |
 |
Alagoas |
AL |
Maceió |
&0000000000027767.70000027.767,7 |
&0000000003015912.0000003.015.912 |
&0000000000000108.610000108,61 |
&0000000017793000.00000017.793.000 (&0000000000000000.7000000,7%) |
&0000000000005858.0000005.858 |
&0000000000000000.6770000,677 |
70% |
&0000000000000057.70000057,7‰ |
&0000000000000066.00000066,0 |
 |
Amapá |
AP |
Macapá |
&0000000000142814.600000142.814,6 |
&0000000000594587.000000594.587 |
&0000000000000004.1600004,16 |
&0000000006022000.0000006.022.000 (&0000000000000000.2000000,2%) |
&0000000000010254.00000010.254 |
&0000000000000000.7800000,780 |
91% |
&0000000000000024.90000024,9‰ |
&0000000000000069.80000069,8 |
 |
Amazonas |
AM |
Manaus |
&0000000001570745.7000001.570.745,7 |
&0000000003232330.0000003.232.330 |
&0000000000000002.0500002,05 |
&0000000042023000.00000042.023.000 (&0000000000000001.6000001,6%) |
&0000000000013043.00000013.043 |
&0000000000000000.7800000,780 |
94% |
&0000000000000020.80000020,8‰ |
&0000000000000073.40000073,4 |
 |
Bahia |
BA |
Salvador |
&0000000000564692.700000564.692,7 |
&0000000013815334.00000013.815.334 |
&0000000000000024.46000024,46 |
&0000000109652000.000000109.652.000 (&0000000000000004.1000004,1%) |
&0000000000007787.0000007.787 |
&0000000000000000.7420000,742 |
79% |
&0000000000000038.70000038,7‰ |
&0000000000000071.40000071,4 |
 |
Ceará |
CE |
Fortaleza |
&0000000000148825.600000148.825,6 |
&0000000008097276.0000008.097.276 |
&0000000000000054.40000054,40 |
&0000000050331000.00000050.331.000 (&0000000000000001.9000001,9%) |
&0000000000006149.0000006.149 |
&0000000000000000.7230000,723 |
78% |
&0000000000000035.10000035,1‰ |
&0000000000000069.60000069,6 |
 |
Distrito Federal |
DF |
Brasília |
&0000000000005822.1000005.822,1 |
&0000000002333108.0000002.333.108 |
&0000000000000400.730000400,73 |
&0000000099946000.00000099.946.000 (&0000000000000003.8000003,8%) |
&0000000000040696.00000040.696 |
&0000000000000000.8740000,874 |
96% |
&0000000000000017.50000017,5‰ |
&0000000000000074.90000074,9 |
 |
Espírito Santo |
ES |
Vitória |
&0000000000046077.50000046.077,5 |
&0000000003408365.0000003.408.365 |
&0000000000000073.97000073,97 |
&0000000060340000.00000060.340.000 (&0000000000000002.3000002,3%) |
&0000000000018003.00000018.003 |
&0000000000000000.8020000,802 |
90% |
&0000000000000020.90000020,9‰ |
&0000000000000073.10000073,1 |
 |
Goiás |
GO |
Goiânia |
&0000000000340086.700000340.086,7 |
&0000000005619917.0000005.619.917 |
&0000000000000016.52000016,52 |
&0000000065210000.00000065.210.000 (&0000000000000002.5000002,5%) |
&0000000000011548.00000011.548 |
&0000000000000000.8000000,800 |
90% |
&0000000000000020.70000020,7‰ |
&0000000000000072.80000072,8 |
 |
Maranhão |
MA |
São Luís |
&0000000000331983.300000331.983,3 |
&0000000006103327.0000006.103.327 |
&0000000000000018.38000018,38 |
&0000000031606000.00000031.606.000 (&0000000000000001.2000001,2%) |
&0000000000005165.0000005.165 |
&0000000000000000.6830000,683 |
77% |
&0000000000000046.30000046,3‰ |
&0000000000000066.80000066,8 |
 |
Mato Grosso |
MT |
Cuiabá |
&0000000000903357.900000903.357,9 |
&0000000002803274.0000002.803.274 |
&0000000000000003.1000003,10 |
&0000000042687000.00000042.687.000 (&0000000000000001.6000001,6%) |
&0000000000014954.00000014.954 |
&0000000000000000.7960000,796 |
90% |
&0000000000000021.50000021,5‰ |
&0000000000000072.60000072,6 |
 |
Mato Grosso do Sul |
MS |
Campo Grande |
&0000000000357125.000000357.125,0 |
&0000000002264468.0000002.264.468 |
&0000000000000006.3400006,34 |
&0000000028121000.00000028.121.000 (&0000000000000001.1000001,1%) |
&0000000000012411.00000012.411 |
&0000000000000000.8020000,802 |
91% |
&0000000000000019.20000019,2‰ |
&0000000000000073.20000073,2 |
 |
Minas Gerais |
MG |
Belo Horizonte |
&0000000000586528.300000586.528,3 |
&0000000019237450.00000019.237.450 |
&0000000000000032.79000032,79 |
&Kesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenaliKesalahan ekspresi: Karakter tanda baca "," tak dikenali.Kesalahan ekspresi: Karakter tanda baca "," tak dikenali241.293.000 (&0000000000000009.1000009,1%) |
&0000000000012519.00000012.519 |
&0000000000000000.8000000,800 |
89% |
&0000000000000020.80000020,8‰ |
&0000000000000074.10000074,1 |
 |
Pará |
PA |
Belém |
&0000000001247689.5000001.247.689,5 |
&0000000006970586.0000006.970.586 |
&0000000000000005.5800005,58 |
&0000000049507000.00000049.507.000 (&0000000000000001.9000001,9%) |
&0000000000007007.0000007.007 |
&0000000000000000.7550000,755 |
90% |
&0000000000000027.30000027,3‰ |
&0000000000000071.40000071,4 |
 |
Paraíba |
PB |
João Pessoa |
&0000000000056439.80000056.439,8 |
&0000000003595886.0000003.595.886 |
&0000000000000063.71000063,71 |
&0000000022202000.00000022.202.000 (&0000000000000000.8000000,8%) |
&0000000000006097.0000006.097 |
&0000000000000000.7180000,718 |
75% |
&0000000000000045.50000045,5‰ |
&0000000000000068.30000068,3 |
 |
Paraná |
PR |
Curitiba |
&0000000000199314.900000199.314,9 |
&0000000010261856.00000010.261.856 |
&0000000000000051.48000051,48 |
&0000000161582000.000000161.582.000 (&0000000000000006.1000006,1%) |
&0000000000015711.00000015.711 |
&0000000000000000.8200000,820 |
93% |
&0000000000000020.70000020,7‰ |
&0000000000000073.50000073,5 |
 |
Pernambuco |
PE |
Recife |
&0000000000098311.60000098.311,6 |
&0000000008413593.0000008.413.593 |
&0000000000000085.58000085,58 |
&0000000062256000.00000062.256.000 (&0000000000000002.3000002,3%) |
&0000000000007337.0000007.337 |
&0000000000000000.7180000,718 |
79% |
&0000000000000044.80000044,8‰ |
&0000000000000067.50000067,5 |
 |
Piauí |
PI |
Teresina |
&0000000000251529.200000251.529,2 |
&0000000003006885.0000003.006.885 |
&0000000000000011.95000011,95 |
&0000000014136000.00000014.136.000 (&0000000000000000.5000000,5%) |
&0000000000004662.0000004.662 |
&0000000000000000.7030000,703 |
72% |
&0000000000000033.10000033,1‰ |
&0000000000000068.20000068,2 |
 |
Rio de Janeiro |
RJ |
Rio de Janeiro |
&0000000000043696.10000043.696,1 |
&0000000015383407.00000015.383.407 |
&0000000000000352.050000352,05 |
&0000000296768000.000000296.768.000 (&0000000000000011.20000011,2%) |
&0000000000019245.00000019.245 |
&0000000000000000.8320000,832 |
96% |
&0000000000000019.50000019,5‰ |
&0000000000000072.40000072,4 |
 |
Rio Grande do Norte |
RN |
Natal |
&0000000000052796.80000052.796,8 |
&0000000003003087.0000003.003.087 |
&0000000000000056.88000056,88 |
&0000000022926000.00000022.926.000 (&0000000000000000.9000000,9%) |
&0000000000007607.0000007.607 |
&0000000000000000.7380000,738 |
77% |
&0000000000000041.90000041,9‰ |
&0000000000000069.80000069,8 |
 |
Rio Grande do Sul |
RS |
Porto Alegre |
&0000000000281748.500000281.748,5 |
&0000000010845087.00000010.845.087 |
&0000000000000038.49000038,49 |
&0000000176615000.000000176.615.000 (&0000000000000006.6000006,6%) |
&0000000000016689.00000016.689 |
&0000000000000000.8320000,832 |
95% |
&0000000000000015.40000015,4‰ |
&0000000000000074.50000074,5 |
 |
Rondônia |
RO |
Porto Velho |
&0000000000237576.200000237.576,2 |
&0000000001534594.0000001.534.594 |
&0000000000000006.4600006,46 |
&0000000015003000.00000015.003.000 (&0000000000000000.6000000,6%) |
&0000000000010320.00000010.320 |
&0000000000000000.7760000,776 |
92% |
&0000000000000024.60000024,6‰ |
&0000000000000070.60000070,6 |
 |
Roraima |
RR |
Boa Vista |
&0000000000224299.000000224.299,0 |
&0000000000391317.000000391.317 |
&0000000000000001.7400001,74 |
&0000000004169000.0000004.169.000 (&0000000000000000.2000000,2%) |
&0000000000010534.00000010.534 |
&0000000000000000.7500000,750 |
91% |
&0000000000000017.80000017,8‰ |
&0000000000000069.30000069,3 |
 |
Santa Catarina |
SC |
Florianópolis |
&0000000000095346.20000095.346,2 |
&0000000005866568.0000005.866.568 |
&0000000000000061.53000061,53 |
&0000000104623000.000000104.623.000 (&0000000000000003.9000003,9%) |
&0000000000017834.00000017.834 |
&0000000000000000.8400000,840 |
95% |
&0000000000000018.20000018,2‰ |
&0000000000000074.80000074,8 |
 |
São Paulo |
SP |
São Paulo |
&0000000000248209.400000248.209,4 |
&0000000040442795.00000040.442.795 |
&0000000000000162.930000162,93 |
&0000000902784000.000000902.784.000 (&0000000000000033.90000033,9%) |
&0000000000022667.00000022.667 |
&0000000000000000.8330000,833 |
95% |
&0000000000000017.40000017,4‰ |
&0000000000000073.70000073,7 |
 |
Sergipe |
SE |
Aracaju |
&0000000000021910.30000021.910,3 |
&0000000001967761.0000001.967.761 |
&0000000000000089.81000089,81 |
&0000000016896000.00000016.896.000 (&0000000000000000.6000000,6%) |
&0000000000008712.0000008.712 |
&0000000000000000.7420000,742 |
90% |
&0000000000000040.60000040,6‰ |
&0000000000000070.30000070,3 |
 |
Tocantins |
TO |
Palmas |
&0000000000277620.900000277.620,9 |
&0000000001305728.0000001.305.728 |
&0000000000000004.7000004,70 |
&0000000011094000.00000011.094.000 (&0000000000000000.4000000,4%) |
&0000000000008921.0000008.921 |
&0000000000000000.7560000,756 |
83% |
&0000000000000028.40000028,4‰ |
&0000000000000070.70000070,7 |
.svg){kind=small}
.svg){kind=small}
