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NXS-GRX-COL · South America · Regions

Santander

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

Page GRX-COL-REdition Baseline Edition 2026Evidence close 2026-09-30ISO COL / COStatus UN member stateValues not yet publishedMethod v1.0.0-draft
2,319,964
人(GHSL 2025)
30,654 km²
面积
4.5%
of Colombia
87
所辖单位

01地图

Inside Santander

The 87 ADM2 units of Santander.

FIG 1 · 87 units inside Santander
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

2,319,964

4.5% of Colombia.

人口 · WorldPop 2025

2,413,597

与 GHSL 相差 +4%;两套网格的方法不同。

面积

30,654 km²

每平方公里 76 人。

代码

CO-SAN

边界来源所载的行政区划代码。

03人道主义数据

Santander 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。

Population · 2025-12-31

2,372,022

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

贫困人口 · 2016-12-31

4.5%

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

People in need · 2025-12-08

1,706,063

humanitarian need. OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).

04单位

87 units inside Santander

每个单位都有自己的页面。

Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 4.0 International (CC BY 4.0)

单位 代码 人口(GHSL) 人口(WorldPop) 面积 km² 每平方公里 占比 沿海 ≤ 10 m
Aguada – 1,011 1,465 75.32 13 0% 0
阿尔巴尼亚 – 7,533 3,020 166.8 45 0.3% 0
Aratoca – 8,008 12,210 170.87 47 0.3% 0
Barbosa – 29,190 41,020 46.9 622 1.3% 0
Barichara – 15,084 7,832 137.59 110 0.6% 0
Barrancabermeja – 226,803 263,424 1,333.08 170 9.8% 0
Betulia – 3,189 4,649 433.24 7 0.1% 0
Bolivar – 9,113 14,664 1,014.52 9 0.4% 0
Bucaramanga – 745,684 754,468 153.48 4,859 32.1% 0
Cabrera – 5,760 1,011 66.05 87 0.2% 0
加利福尼亚 – 877 1,057 45.15 19 0% 0
Capitanejo – 3,132 4,102 85.72 37 0.1% 0
Carcasí – 3,049 3,262 260.23 12 0.1% 0
Cepitá – 1,389 2,213 108.26 13 0.1% 0
Cerrito – 2,440 3,681 423.34 6 0.1% 0
Charala – 7,942 12,593 420.87 19 0.3% 0
Charta – 1,960 2,296 127.13 15 0.1% 0
Chima – 2,458 1,976 173.88 14 0.1% 0
Chipatá – 4,124 3,803 95.13 43 0.2% 0
Cimitarra – 52,045 21,598 3,188.19 16 2.2% 0
Concepción – 6,092 9,972 338.09 18 0.3% 0
Confines – 1,675 3,174 71.58 23 0.1% 0
Contratación – 2,340 2,287 137.57 17 0.1% 0
Coromoro – 5,649 2,282 579.92 10 0.2% 0
Curití – 9,674 11,712 245.14 39 0.4% 0
El Carmen De Chucuri – 23,595 21,734 928.15 25 1% 0
El Guacamayo – 377 1,655 93.7 4 0% 0
El Peñón – 13,759 5,885 399.98 34 0.6% 0
El Playón – 31,831 17,020 456.49 70 1.4% 0
Encino – 258 2,626 401.73 1 0% 0
Enciso – 3,601 3,116 75.06 48 0.2% 0
Florián – 6,948 3,726 177.6 39 0.3% 0
Floridablanca – 188,534 246,559 100.97 1,867 8.1% 0
Galán – 2,591 2,513 202.32 13 0.1% 0
Gámbita – 7,441 5,138 611.13 12 0.3% 0
Girón – 253,600 159,119 495.29 512 10.9% 0
Guaca – 4,241 3,201 303.57 14 0.2% 0
Guadalupe – 2,916 3,199 146.9 20 0.1% 0
Guapotá – 1,110 2,426 67.66 16 0% 0
Guavatá – 3,287 9,252 84.24 39 0.1% 0
Güepsa – 2,784 6,314 30.38 92 0.1% 0
Hato – 2,039 2,443 169.95 12 0.1% 0
Jesús María – 3,329 3,847 90.13 37 0.1% 0
Jordán Sube – 1,171 3,713 39.82 29 0.1% 0
La Belleza – 7,453 3,664 336.82 22 0.3% 0
La Paz – 3,597 5,050 285.6 13 0.2% 0
Landázuri – 11,831 8,562 592.75 20 0.5% 0
Lebríja – 39,240 28,525 552.41 71 1.7% 0
Los Santos – 14,515 16,449 291.18 50 0.6% 0
Macaravita – 1,029 1,774 103.44 10 0% 0
Málaga – 6,598 11,891 57.44 115 0.3% 0
Matanza – 4,417 5,874 236.27 19 0.2% 0
Mogotes – 6,795 9,001 486 14 0.3% 0
Molagavita – 2,849 4,498 180.97 16 0.1% 0
Ocamonte – 2,952 6,553 75.45 39 0.1% 0
Oiba – 12,313 14,217 287.32 43 0.5% 0
Onzaga – 2,763 2,287 491.18 6 0.1% 0
Palmar – 12,446 1,760 19.92 625 0.5% 0
Palmas Del Socorro – 828 1,773 58.75 14 0% 0
Páramo – 4,907 7,655 73.44 67 0.2% 0
Piedecuesta – 207,993 214,349 485.85 428 9% 0
Pinchote – 7,693 10,781 55.53 139 0.3% 0
Puente Nacional – 10,012 12,618 252.43 40 0.4% 0
Puerto Parra – 7,810 7,439 765.45 10 0.3% 0
Puerto Wilches – 18,609 25,678 1,513.46 12 0.8% 0
Rionegro – 15,728 24,800 1,173.69 13 0.7% 0
Sabana De Torres – 16,287 37,042 1,409.38 12 0.7% 0
San Andres – 6,398 9,310 282.62 23 0.3% 0
San Benito – 2,690 2,396 59.29 45 0.1% 0
San Gil – 44,875 72,819 147.39 304 1.9% 0
San Joaquín – 1,656 2,422 143.58 12 0.1% 0
San José De Miranda – 12,826 18,331 75.69 169 0.6% 0
San Miguel – 1,720 2,774 71.34 24 0.1% 0
San Vicente De Chucuri – 29,991 22,640 1,120.99 27 1.3% 0
Santa Barbara – 2,141 3,079 222.19 10 0.1% 0
Santa Helena Del Opón – 2,158 1,739 375.56 6 0.1% 0
Simacota – 6,751 8,791 908.48 7 0.3% 0
Socorro – 30,763 36,025 128.4 240 1.3% 0
Suaita – 7,237 8,129 286.22 25 0.3% 0
苏克雷州 – 5,865 6,915 524.81 11 0.3% 0
Suratá – 3,009 4,431 364.18 8 0.1% 0
Tona – 6,273 7,021 332.23 19 0.3% 0
Valle De San Jose – 1,725 6,411 81.52 21 0.1% 0
Vélez – 13,874 21,840 449.56 31 0.6% 0
Vetas – 2,801 3,001 92.84 30 0.1% 0
Villanueva – 5,677 11,380 98.37 58 0.2% 0
Zapatoca – 5,827 10,773 365.6 16 0.3% 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
74.4 H3 cells
港口
在此分辨率下没有
机场
1 个 H3 单元格
主要道路
674.7 H3 cells
铁路
154.4 个 H3 单元格
河流和湖泊
122.9 H3 cells
06风险

风险值

Values when released. Subnational risk values for Santander publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Colombia.
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 COL ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM2 边界
geoBoundaries (William & Mary geoLab), gbOpen COL ADM2, source: Departamento Administrativo Nacional de Estadistica, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · 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。