人口与社会 进阶阅读 · 建议 B1–B2
哪些国家的人口已经见顶?
Which countries have already passed peak population, and when will the rest do so?
“人口将减少”和“在这些假设下,人口可能减少”并不相同。用这篇近期文章练习读出预测里的条件,而不只记住醒目的数字。
Originally published by Hannah Ritchie, Edouard Mathieu, Lucas Rodés-Guirao at Our World in Data. Republished here under a Creative Commons license.
中译由 LangBox 使用 AI 辅助制作,非 Our World in Data 或原作者官方译文,未获其认可或背书。正文与补充说明逐段翻译;图表保留原站链接,原文引用链接保留。下方学习笔记和练习为本站另加。转载与翻译规则
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带着这个问题读
理解出生率、生育率和迁移的区别,并从 could、projected、if 中识别预测的边界。
- 把“结构性下降”与战争、饥荒造成的暂时冲击区分开。
- 阅读每个预测时,找出它对生育率、寿命与迁移的假设。
- 同一国家在不同情景下会有不同人口轨迹;年份和比较基准不能省略。
逐段阅读
原文与中文对照
先试着读英文,遇到影响理解的句子再看译文。下面保留全文正文;图表可按链接在原站查看。
这是对联合国情景预测的阅读,不是对未来的确定承诺。原文中的“如今”“最近”以 2026 年 8 月的写作背景理解。
Many countries around the world are in a unique position in human history: rather than having a constant or growing population, their populations are starting to shrink. This is not a temporary decline, caused by war or famine. There are plenty of population shocks like that in the history books.
世界上许多国家正处于人类历史上一种独特的境地:人口不再保持稳定或继续增长,而是开始缩减。这不是战争或饥荒引起的暂时性下降。历史上,这类人口冲击并不少见。
Instead, this decline is structural. It is caused by falling birth rates.
相反,这一次下降是结构性的,由出生率下降所导致。
If we look at the United Nations’ population estimates and medium projections, 64 countries and territories had already passed peak population in 2026.
如果查看联合国的人口估算和中方案预测,到 2026 年,已有 64 个国家和地区度过了人口峰值。
These projections not only include assumptions about birth rates and life expectancy, but migration, too. We’ll address the sensitivity of these assumptions later.
这些预测不仅包含对出生率和预期寿命的假设,也包含对迁移的假设。下文会讨论结果对这些假设有多敏感。
In the map below, you can see which countries they are. Almost all of them are in Europe and East Asia, which have seen rapid reductions in fertility rates and persistently low rates since then. Many Eastern European countries have also seen large numbers emigrating, adding to the decline.
下方地图显示了这些国家和地区。它们几乎都位于欧洲和东亚,这些地区经历了生育率的快速下降,之后又长期维持低位。许多东欧国家还有大量人口迁出,加剧了人口下降。
原文图表 1 ↗在 Our World in Data 查看配图与数据来源
There are a few other, more surprising, countries that may have passed their peak, too. Thailand in Southeast Asia — which dropped below two births per woman in the early 1990s — now has a rate below 1.2. Uruguay in South America has also seen fertility rates drop to an average of 1.4 births per woman.
还有一些可能已经度过峰值的国家,或许更出人意料。东南亚的泰国在 20 世纪 90 年代初,每名女性的生育数就降到了两个以下,如今已经低于 1.2。南美洲的乌拉圭也出现了生育率下降,平均每名女性生育 1.4 个孩子。
Many of these countries have only just passed the peak. But some, such as Japan and Italy, peaked more than a decade ago. In the chart below, you can see the trajectories of a small selection of countries.
其中许多国家刚刚度过峰值。但日本、意大利等国的人口早在十多年前就已见顶。下方图表展示了部分国家的人口变化轨迹。
原文图表 2 ↗在 Our World in Data 查看配图与数据来源
If we include the UN’s projections to the end of the century, the decline is substantial. South Korea and China’s populations could more than halve. Italy could shrink by more than 40%. Spain and Thailand, by a third.
如果把联合国对本世纪末的预测也纳入考虑,降幅相当大。韩国和中国的人口可能减少一半以上。意大利可能缩减超过 40%。西班牙和泰国可能缩减三分之一。
原文图表 3 ↗在 Our World in Data 查看配图与数据来源
Which countries will peak in the middle of the century?哪些国家会在本世纪中叶达到人口峰值?
In the coming decades, many more countries are expected to join them.
未来几十年,预计还会有更多国家加入这一行列。
By the 2050s, much of South America is projected to have passed the peak. By the 2060s, much of South Asia may do so. This includes the world’s most populous country today: India.
到 21 世纪 50 年代,预计南美洲许多地区将度过人口峰值。到 60 年代,南亚许多地区也可能如此,其中包括如今世界上人口最多的国家印度。
In the map below, you can see which specific countries these are. Using the interactive timeline, you can see how this evolves over different time periods.
下方地图显示了具体国家。使用交互式时间轴,可以查看不同时间段的变化。
原文图表 4 ↗在 Our World in Data 查看配图与数据来源
What if birth rates or migration patterns become very different from expectations?如果出生率或迁移模式与预期大不相同,会怎样?
These projections of population peaks are based on the UN’s “medium variant” projection, and sensitive to its assumptions about three things: fertility rates, life expectancy, and migration. All of these things are hard to predict 50 years into the future.
这些人口峰值预测基于联合国的“中方案”,对生育率、预期寿命和迁移三方面的假设较为敏感。要预测这些因素在 50 年后的状态,都很困难。
Recently, we published a tool that allows you to see how future populations would change if these assumptions were different.
我们最近发布了一个工具,让你可以查看:如果这些假设不同,未来人口会如何变化。
查看原文的人口工具与对比图 ↗在 Our World in Data 查看配图与数据来源
One factor that could change these maps a lot is migration rates. Many high-income countries only have constant or growing populations today because of immigration; without it, they’d be shrinking.
迁移率是可能大幅改变这些地图的因素之一。如今许多高收入国家的人口之所以保持稳定或增长,只是因为移民流入;没有移民,它们的人口就会下降。
In this small map (click to enlarge), you can see which countries would be shrinking (in orange) in 2060, if we were to assume no migration.
这张小地图(点击可放大)展示了假设没有迁移时,到 2060 年人口会缩减的国家,图中用橙色表示。
查看原文的人口工具与对比图 ↗在 Our World in Data 查看配图与数据来源
The United States is one of the most stark examples. You might have noticed that in our earlier peak maps, the US never turned blue. Even by the end of the century, its population is not expected to peak. This is because the UN’s projections assume that there is enough immigration into the country to offset low birth rates.
美国是最鲜明的例子之一。你可能注意到,在前面的人口峰值地图上,美国从未变成蓝色。即使到了本世纪末,预计其人口也不会见顶。这是因为联合国的预测假设,有足够的移民流入美国,抵消低出生率的影响。
If we were to assume zero migration in the US, its population would peak soon and would shrink by 60 million by 2100. Compared to the scenario with migration, the US population would be 130 million smaller at the end of the century.
如果假设美国没有人口迁移,其人口很快就会见顶,到 2100 年将减少 6,000 万。与有迁移的情景相比,美国在本世纪末的人口将少 1.3 亿。
You can see this comparison in the chart below.
下方图表展示了这一比较。
查看原文的人口工具与对比图 ↗在 Our World in Data 查看配图与数据来源
So, for some countries, the timing of population peaks is very sensitive to the assumptions demographers make about future changes in migration rates, fertility rates, and longevity.
因此,对某些国家而言,人口达到峰值的时间,对人口学家关于未来迁移率、生育率和寿命变化的假设非常敏感。
For others, a shrinking population now seems all but inevitable. In a recent article, I used our population tool to explore what would need to happen to any of these three factors in South Korea to stop its decline. I came away from the experiment concluding that it was next to impossible. The necessary rebounds in fertility rate, leaps in life expectancy, or rise in immigration levels did not seem plausible.
对另一些国家而言,人口下降如今似乎几乎不可避免。我在最近的一篇文章中,用我们的人口工具探索:要让韩国停止人口下降,上述三个因素中的任何一个需要发生怎样的变化。尝试之后,我得出的结论是,这几乎不可能。所需的生育率反弹、预期寿命跃升或移民数量增长,看起来都不太可能实现。
There, like in many other countries with steep declines, this new demographic reality seems inevitable.
在那里,如同许多人口急剧下降的国家一样,这一新的人口现实似乎不可避免。
本站学习笔记 · 与原文分开
值得带走的五个表达
- structural decline
结构性下降,由持续性的因素导致。
Instead, this decline is structural.
Instead 标记转折:不是上一段的暂时冲击,而是另一类变化。
- fertility rate
生育率;本文每名女性的生育数指总和生育率。
an average of 1.4 births per woman
不要与 birth rate(出生率)混用,后者通常描述一定人口中的出生频率。
- is projected to
据预测将……
much of South America is projected to have passed the peak
这不是既成事实。找出预测来源和所采用的情景。
- offset
抵消、弥补。
enough immigration into the country to offset low birth rates
本句在说人口变化中不同因素的作用,不是说出生率本身被提高了。
- all but inevitable
几乎不可避免。
a shrinking population now seems all but inevitable
all but 在这里接近 almost,不是“所有都不”。seems 仍是判断语气。
拆开读一句长句
If we were to assume zero migration in the US, its population would peak soon and would shrink by 60 million by 2100.- If we were to assume
- 提出假设,而不是报告已发生的事实。
- zero migration in the US
- 假设条件:美国没有人口迁移。
- would peak soon and would shrink
- 假设下的两个结果:见顶、缩减。
- by 60 million / by 2100
- 前一个 by 表示减少的数量;后一个 by 表示截止时间。
先回答,再展开
你读懂的是数字,还是结论?
先用自己的话回答,再查看解析。不需要注册,也不会提交你的答案。
1. 原文说的结构性人口下降,主要由什么引起?
查看答案与理由
出生率下降。文章将它与战争或饥荒造成的暂时性人口冲击区分开,同时说明迁移也会影响总人口。
2. “韩国和中国的人口可能减半以上”需要保留哪些条件?
查看答案与理由
这是联合国预测延伸到本世纪末时的结果,取决于生育率、预期寿命和迁移假设;原文使用 could,不是保证会发生。
3. 美国减少 6,000 万与少 1.3 亿,是同一个比较吗?
查看答案与理由
不是。前者描述零迁移情景下到 2100 年的人口缩减;后者比较本世纪末“有迁移”和“零迁移”两个情景的人口差额。
4. 为什么不能只根据出生率判断一个国家的人口是否增长?
查看答案与理由
还要考虑死亡及寿命、人口年龄结构与迁移等因素。本文特别举例说明,移民可以抵消低出生率对总人口的影响。
来源与选文记录
原文:Which countries have already passed peak population, and when will the rest do so?。作者:Hannah Ritchie、Edouard Mathieu、Lucas Rodés-Guirao。出版方:Our World in Data。许可:CC BY 4.0。
原文发布于 2026 年 8 月 17 日。同日有 Hacker News 提交,核对时为 7 分、3 条评论;它是近期选文,不标为热门文章。 查看讨论记录 ↗
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原文与译文按 CC BY 4.0 提供。本站新增的词句笔记和理解练习也按此许可分享;引用时请注明来源,并标示后续修改。
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