7.92 Million Births: Why China’s Population is Shrinking Faster Than Predicted in 2026

The 2026 fertility rankings highlight clear differences across China. Western and southern provinces have higher birth rates than the major cities in the east.

Xizang and Guizhou stand out because their birth rates remain above replacement level, unlike most of China. This suggests that local culture and economic conditions help prevent the decline in births seen in cities.

This pattern shows that older policies and local incentives help some regions keep stable populations, especially in less industrialized areas. At the same time, large economic centers are aging more quickly. This contrast highlights areas where fertility remains viable while it declines elsewhere.

Dominance of Western and Minority-Dominated Clusters

Xizang (ranked 1 with 1.94) and Guizhou (ranked 2 with 1.48) are at the top of the list. This is partly because ethnic minority policies there did not enforce strict birth limits, so families are more accustomed to having more children.

These areas are mostly rural, and raising children fits the local farming lifestyle. This is very different from the high costs of raising children in cities, especially those ranked below 20.

Ningxia (ranked 3) and Qinghai (ranked 4) follow the same pattern. Hui and Tibetan families in these provinces still value having children, and their birth rates are about 50% higher than the national average.

These provinces are less urbanized, with fewer than half of the people living in cities. As a result, women there face fewer conflicts between work and family, so birth rates remain higher.

According to the table, only these regions have birth rates above 1.3. This shows that local policies can help keep birth rates higher, while a single national approach is less effective.

Counterintuitive Rankings and Underlying Causes

Henan is ranked 12th with a birth rate of 0.90, which is surprising given its large population and extensive farmland. However, it still lags behind smaller provinces like Gansu, ranked 10.

This is due to many young adults moving to coastal cities, which reduces the number of people of childbearing age and increases the number of dependents.

Unlike the top-ranked regions, Henan’s move toward mechanized farming means children are less needed for work, similar to what is happening in neighboring Anhui (ranked 20) and Hubei (ranked 26).

The table makes this difference clear. Western regions keep more young people due to ethnic ties and government support, while the central plains (ranks 11-18) are losing young adults. This lowers birth rates even though the land is good for farming.

This explains why Henan’s birth rate remains around 0.90. It is lower than expected for such a large province, but similar to other areas where many young people have left.

Trade-Offs in High-Ranked Regions

Provinces at the top of the list often have stable populations but slower economic growth. For example, Xizang has a high birth rate of 1.94 because it is isolated and receives government support, but it has limited technological development, so incomes are below the national average.

The table shows that the southern provinces ranked 5-9 are balancing factory growth with family-friendly policies. However, this growth is putting pressure on the environment, which could lead to future problems.

These regions are sacrificing short-term economic gains to maintain population stability over time. The data shows this approach is more effective than what is happening in the big cities ranked below 20.

Structural Constraints on Lower-Ranked Clusters

The lowest-ranked areas in the northeast, such as Heilongjiang (ranked 31 with 0.26), are struggling due to old factory closures, high unemployment, and aging populations. These issues make it difficult for people to have more children.

Since the 1990s, factories have closed, and many young people have moved away. As a result, there are fewer people of childbearing age, and those who remain are more focused on making a living than starting families.

This problem also affects provinces ranked 28-31, all with birth rates below 0.5, showing a cycle of population loss that is hard to stop. Big cities like Shanghai (ranked 27) and Beijing (ranked 21) face their own challenges. High housing and education costs make it difficult for families to have more children, so their birth rates remain low at 0.54 and 0.75, even with new policies.

The table shows that these problems, largely driven by rapid urbanization, are worsening national trends. This is different from the rural areas at the top of the rankings, which are better able to adapt.

Future Implications of Persistent Trajectories

If these trends continue, the top-ranked regions (ranks 1-4) could become the main population centers. People might even move back there as the eastern provinces (ranks 19-31) lose more residents.

Birth rates above 1.3 in western provinces could help stabilize local workforces, but an aging population nationwide will put pressure on pensions, leading to changes that may hurt low-fertility areas.

Provinces ranked 11-18, with rates near 0.9, risk further decline without targeted support, which could widen the gap between urban and rural areas.

The table suggests that in the future, outlying regions will continue to grow, while places like rank 31 could lose so many people that they become less significant.

This means China may need to adjust its policies to follow the example of the top-ranked regions. Otherwise, the country could face even more economic challenges due to low birth rates in many provinces.

Based on:

• National Bureau of Statistics of China. (2025). China Statistical Yearbook 2025. China Statistics Press.