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NXS-GRX-BRA · South America · Regions

阿拉戈斯州

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
3,283,138
人(GHSL 2025)
27,893 km²
面积
1.5%
of Brazil
98
所辖单位

01地图

Inside Alagoas

The 98 ADM2 units of Alagoas.

FIG 1 · 98 units inside Alagoas
正在加载地图

单位高度随每 km² 人口升高 · GHSL 2025 栅格 · 地形 · ADM1 ADM2风险值将在发布时提供
最低五分位较低五分位中间五分位较高五分位最高五分位无数据
柱高和颜色表示各单位每 km² 人口,按所示单位的五分位数分级(地图图例给出分界值);网格上无人口的单位显示为灰色,不属于最低一级;底层栅格为 GHSL 2025 人口网格。这些是来源观测值,不是指数值。从列表中选择一项人道主义数据,按其为单位着色并抬升;每项数据的来源显示在单位页面上。选择一个单位可深入查看其下辖单位;地图上方的路径可逐级返回。
02数据概览

人口、面积和密度

来自开放网格、在边界内汇总的来源观测值;不是指数值。

人口 · GHSL 2025

3,283,138

1.5% of Brazil.

人口 · WorldPop 2025

3,056,072

与 GHSL 相比 -7%;两套网格方法不同。

面积

27,893 km²

每平方公里 118 人。

代码

BR-AL

边界来源所载的行政区划代码。

低海拔沿海地带

212,022

people on land at or below 10 m, 6.5% of the unit (GEBCO 2024 and GHSL 2025).

03人道主义数据

Alagoas in humanitarian data

来自人道主义数据交换平台(Humanitarian Data Exchange)的来源观测值,按名称与该单位匹配,每项均附有参考日期、提供方和许可协议。它们不是指数值。

人口 · 2022-12-31

3,127,683

人。UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO)。

Poverty headcount · 2015-12-31

7.1%

的人口处于多维贫困。Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0)。

04单位

98 units inside Alagoas

每个单位都有自己的页面。

边界许可:Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)

单位 代码 人口(GHSL) 人口(WorldPop) 面积 km² 每平方公里 占比 沿海 ≤ 10 m
Água Branca – 23,250 21,024 469.27 50 0.7% 0
Anadia – 17,157 11,962 185.78 92 0.5% 0
Arapiraca – 240,180 247,975 346.79 693 7.5% 0
Atalaia – 48,015 35,004 535.84 90 1.5% 4
Barra de Santo Antônio – 14,329 14,958 132.13 108 0.4% 2,909
Barra de São Miguel – 11,098 6,747 74.16 150 0.3% 1,200
Batalha – 19,687 17,454 316.15 62 0.6% 0
Belém – 4,038 3,855 66.13 61 0.1% 0
Belo Monte – 8,482 6,857 336.2 25 0.3% 375
Boca da Mata – 28,124 19,661 194.48 145 0.9% 0
Branquinha – 11,068 7,747 168.96 66 0.3% 0
Cacimbinhas – 10,729 10,408 283.02 38 0.3% 0
Cajueiro – 18,371 12,267 93.93 196 0.6% 0
Campestre – 4,154 4,689 66.25 63 0.1% 0
Campo Alegre – 52,400 23,849 314.78 166 1.6% 0
Campo Grande – 11,638 9,447 170.3 68 0.4% 0
Canapi – 20,400 16,592 605.51 34 0.6% 0
Capela – 21,260 15,987 265.52 80 0.7% 0
Carneiros – 8,139 8,313 101.97 80 0.3% 0
Chã Preta – 6,462 5,215 157.92 41 0.2% 0
Coité do Nóia – 15,076 13,420 89.4 169 0.5% 0
Colônia Leopoldina – 32,468 20,224 208.6 156 1% 0
Coqueiro Seco – 8,616 8,234 40.18 214 0.3% 0
Coruripe – 52,956 45,938 899.91 59 1.7% 9,351
Craíbas – 27,757 29,291 279.73 99 0.9% 0
Delmiro Gouveia – 53,838 55,684 631.89 85 1.7% 0
Dois Riachos – 10,480 9,634 142.16 74 0.3% 0
Estrela de Alagoas – 24,317 20,288 261.88 93 0.8% 0
Feira Grande – 25,665 25,875 175.98 146 0.8% 0
Feliz Deserto – 6,066 5,280 111.19 55 0.2% 1,760
Flexeiras – 15,468 10,864 333.78 46 0.5% 0
Girau do Ponciano – 42,559 36,907 516.03 82 1.3% 0
Ibateguara – 12,681 10,908 265.95 48 0.4% 0
Igaci – 26,191 23,709 336.29 78 0.8% 0
Igreja Nova – 22,176 18,345 428.7 52 0.7% 2,244
Inhapi – 18,114 13,868 372.95 49 0.6% 0
Jacaré dos Homens – 6,214 6,015 150.14 41 0.2% 0
Jacuípe – 8,631 6,005 209.61 41 0.3% 0
Japaratinga – 5,064 5,465 85.82 59 0.2% 468
Jaramataia – 5,465 4,278 105.23 52 0.2% 0
Jequiá da Praia – 19,752 11,543 335.54 59 0.6% 1,360
Joaquim Gomes – 21,570 14,747 299.57 72 0.7% 0
Jundiá – 4,736 4,316 88.69 53 0.1% 0
Junqueiro – 30,264 30,322 248.22 122 0.9% 0
Lagoa da Canoa – 16,261 16,490 84.35 193 0.5% 0
Limoeiro de Anadia – 21,241 17,537 311.55 68 0.7% 0
Maceió – 892,577 854,976 512.47 1,742 28% 81,271
Major Isidoro – 20,032 17,483 446.06 45 0.6% 0
Mar Vermelho – 1,986 1,716 92.89 21 0.1% 0
Maragogi – 13,754 18,688 335.78 41 0.4% 1,050
Maravilha – 10,337 9,624 333.04 31 0.3% 0
Marechal Deodoro – 52,538 60,551 342.2 154 1.6% 27,482
Maribondo – 13,774 13,559 180.65 76 0.4% 0
Mata Grande – 34,934 32,108 919.16 38 1.1% 0
Matriz de Camaragibe – 26,176 24,306 239.85 109 0.8% 2,851
Messias – 18,689 14,081 115.56 162 0.6% 0
Monteirópolis – 4,735 4,495 87.63 54 0.1% 0
Murici – 28,732 26,882 419.66 68 0.9% 0
Novo Lino – 3,967 3,922 215.55 18 0.1% 0
Olho d’Água das Flores – 24,417 22,945 191.98 127 0.8% 0
Olho d’Água do Casado – 10,429 9,006 328.72 32 0.3% 0
Olho d’Água Grande – 2,430 1,593 117.87 21 0.1% 0
Olivença – 10,719 10,048 175.85 61 0.3% 0
Ouro Branco – 12,061 11,871 196.96 61 0.4% 0
Palestina – 6,259 4,988 38.58 162 0.2% 0
Palmeira dos Índios – 72,895 72,039 452.89 161 2.3% 0
Pão de Açúcar – 23,538 21,190 694.97 34 0.7% 119
Pariconha – 8,144 8,088 255.31 32 0.3% 0
Paripueira – 445 500 92.87 5 0% 0
Passo de Camaragibe – 12,716 10,309 253.13 50 0.4% 3,070
Paulo Jacinto – 8,616 7,104 119.73 72 0.3% 0
Penedo – 64,616 57,660 693.67 93 2% 13,522
Piaçabuçu – 16,694 12,586 242.66 69 0.5% 14,426
Pilar – 36,530 35,850 260.03 140 1.1% 5,700
Pindoba – 3,814 2,800 117.56 32 0.1% 0
Piranhas – 24,512 22,684 406.4 60 0.8% 0
Poço das Trincheiras – 11,150 9,296 285.93 39 0.3% 0
Porto Calvo – 24,352 19,303 314.82 77 0.8% 3,073
Porto de Pedras – 7,925 9,087 258.12 31 0.2% 754
Porto Real do Colégio – 22,520 22,704 238.85 94 0.7% 7,164
Rio Largo – 77,885 115,021 294.29 265 2.4% 1,066
Roteiro – 748 2,036 129.37 6 0% 15
Santa Luzia do Norte – 6,550 6,260 28.86 227 0.2% 539
Santana do Ipanema – 49,995 49,050 440 114 1.6% 0
São José da Coroa Grande – 9,975 7,032 69.42 144 0.3% 566
São José da Tapera – 39,585 38,102 495.66 80 1.2% 0
São Luís do Quitunde – 34,961 29,082 398.1 88 1.1% 6,832
São Miguel dos Campos – 62,400 50,581 337.42 185 2% 5,846
São Miguel dos Milagres – 7,702 8,888 77.5 99 0.2% 909
São Sebastião – 35,274 33,357 315.9 112 1.1% 0
Satuba – 21,257 24,345 41.46 513 0.7% 8,003
Senador Rui Palmeira – 10,327 8,892 342.37 30 0.3% 0
Tanque d’Arca – 6,132 5,820 126.28 49 0.2% 0
Taquarana – 22,918 22,318 153.79 149 0.7% 0
Teotônio Vilela – 41,222 30,740 300.89 137 1.3% 0
Traipu – 25,836 21,119 687.85 38 0.8% 1,458
União dos Palmares – 69,220 59,978 422.06 164 2.2% 0
Viçosa – 28,868 25,506 369.4 78 0.9% 0
05风险暴露

开放风险暴露图层

中心点落在该单位内且包含各 Natural Earth 图层的 H3 分辨率 3 单元格数量。

城市区域
290.4 H3 cells
港口
1 个 H3 单元格
机场
1 个 H3 单元格
主要道路
1,232.5 H3 cells
铁路
402 H3 cells
河流和湖泊
304.2 H3 cells
06风险

风险值

Values when released. Subnational risk values for Alagoas publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Brazil.
07相邻单位

相邻单位

08来源

来源、致谢与许可协议

ADM1 边界
geoBoundaries (William & Mary geoLab), gbOpen BRA ADM1, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
ADM2 边界
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
底图
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.
地形
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.
人口
GHSL 2025 人口网格,欧盟委员会联合研究中心(CC BY 4.0),以 0.05° 显示并按单位求和;WorldPop 2025(CC BY 4.0)作为第二个估计。小于一个格网单元的单位采用其所在格网单元的密度。
国家
Natural Earth(公有领域)。
高程
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.
立场
边界仅用于标示位置,不对任何边界、名称或地位持立场。