What is the population of Linzhou?
Recently, the discussion about population data across China has become one of the hot topics. As a county-level city under the jurisdiction of Anyang City, Henan Province, the population of Linzhou City has also attracted much attention. This article will combine the latest data and structured information to give you a detailed explanation of the current population situation of Linzhou City.
1. Total population of Linzhou City
According to the latest statistics in 2023, Linzhou City’s permanent population is approximately 800,000. The following is the population changes in Linzhou City in the past five years:
| Year | Permanent population (10,000 people) | Registered population (10,000 people) |
|---|---|---|
| 2019 | 78.5 | 82.3 |
| 2020 | 79.1 | 81.8 |
| 2021 | 79.6 | 81.5 |
| 2022 | 80.2 | 81.2 |
| 2023 | 80.5 | 81.0 |
2. Population structure characteristics
The population of Linzhou City shows the following salient characteristics:
| age group | Proportion (%) | Remarks |
|---|---|---|
| 0-14 years old | 18.2 | Adolescent population |
| 15-59 years old | 62.5 | working age population |
| 60 years and above | 19.3 | elderly population |
3. Population distribution in various towns and villages
Linzhou City has 4 subdistricts and 16 towns under its jurisdiction. The population of each town is unevenly distributed:
| Township name | Population (10,000 people) | Main industries |
|---|---|---|
| Kaiyuan Street | 12.5 | business services |
| Longshan Street | 10.8 | education culture |
| Yaocunzhen | 8.2 | Equipment manufacturing |
| Lingyang Town | 7.5 | Agricultural products processing |
| Linqi Town | 6.8 | Business Logistics |
4. Population mobility
As a major labor export county, Linzhou City has about 150,000 migrant workers all year round, mainly going to:
| Flow area | Proportion (%) | Main industries |
|---|---|---|
| Beijing-Tianjin-Hebei region | 45 | buildings, services |
| Yangtze River Delta region | 30 | manufacturing, electronics |
| Pearl River Delta Region | 15 | clothing, furniture |
| Other areas | 10 | Diversification |
5. Analysis of population change trends
1.natural growth rate: In recent years, it has remained around 5‰, slightly lower than the national average.
2.urbanization rate: Reaching 56.3% in 2023, an increase of 7 percentage points from 2019.
3.Degree of aging: The proportion of the population over 60 years old continues to rise and is expected to exceed 22% in 2025.
4.Talent introduction: With the development of the industry, the average annual return of talents in the past three years is about 3,000.
6. Main factors affecting population changes
1.economic development: Linzhou City’s GDP maintains an average annual growth rate of 6.5%, driving increased employment attractiveness.
2.Industrial transformation: Transform from traditional construction industry to diversified industries and change the population flow pattern.
3.Education and medical: The level of public services has been improved, reducing the pressure of population outflow.
4.policy guidance: The household registration system reform and talent introduction policy have achieved initial results.
7. Forecast of future population development
Based on existing trends, experts predict:
| Year | Forecast population (10,000 people) | Main features |
|---|---|---|
| 2025 | 81-82 | Accelerating urbanization |
| 2030 | 83-85 | Aging highlights |
| 2035 | 85-87 | Demographic structure optimization |
Conclusion
As an important county-level city in Henan Province, Linzhou City's population development shows typical county economic characteristics. A population of 800,000 provides important support for its economic and social development, while changes in demographic structure also bring new challenges. In the future, how to deal with aging, retain talents, and improve population quality will become important issues for the development of Linzhou City.
(Note: The data in this article comes from the 2023 bulletin of the Linzhou Municipal Bureau of Statistics and relevant government work reports. Some forecast data refer to expert analysis.)
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