In 2023, the ratio of urban to rural population varied greatly in different provinces of China. While Guangdong province had an urban population of around 95.8 million and a rural population of 31.2 million, Tibet had an urban population of only 1.4 million, but a rural population of around 2.2 million.

In 2023, the average annual disposable income per capita of households in urban areas of Shanghai in China amounted to approximately 43 thousand yuan. The average disposable income varies greatly across different regions in China.

This statistic depicts the average annual per capita consumer expenditure of urban and rural households in China in 2023, by region. In 2023, the average per capita consumer expenditure in rural areas of Fujian province in China ranged at around ****** yuan.

In 2024, about 943.5 million people lived in urban regions in China and 464.8 million in rural. That year, the country had a total population of approximately 1.41 billion people. As of 2024, China was the second most populous country in the world. Urbanization in China Urbanization refers to the process by which people move from rural to urban areas and how a society adapts to the population shift. It is usually seen as a driving force in economic growth, accompanied by industrialization, modernization and the spread of education. Urbanization levels tend to be higher in industrial countries, whereas the degree of urbanization in developing countries remains relatively low. According to World Bank, a mere 19.4 percent of the Chinese population had been living in urban areas in 1980. Since then, China’s urban population has skyrocketed. By 2024, about 67 percent of the Chinese population lived in urban areas. Regional urbanization rates In the last decades, urbanization has progressed greatly in every region of China. Even in most of the more remote Chinese provinces, the urbanization rate surpassed 50 percent in recent years. However, the most urbanized areas are still to be found in the coastal eastern and southern regions of China. The population of Shanghai, the largest city in China and the world’s seventh largest city ranged at around 24 million people in 2023. China’s urban areas are characterized by a developing middle class. Per capita disposable income of Chinese urban households has more than doubled between 2010 and 2020. The emerging middle class is expected to become a significant driver for the continuing growth of the Chinese economy.

CN: Population: Rural: Yunnan: Honghe: Kaiyuan data was reported at 181.709 Person th in 2017. This records an increase from the previous number of 181.200 Person th for 2016. CN: Population: Rural: Yunnan: Honghe: Kaiyuan data is updated yearly, averaging 170.000 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 270.000 Person th in 2007 and a record low of 112.000 Person th in 2012. CN: Population: Rural: Yunnan: Honghe: Kaiyuan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

We analyse expenditure patterns for rural China, focusing on differences between families with boys and girls. The sample includes more than 5000 nuclear families from 19 Chinese provinces. Following the existing literature, we estimate Engel curves for food and for alcohol, a typical adult good. We use a flexible, partially linear specification and allow for endogeneity of total expenditures. The results are similar to those of other studies, not providing much evidence of gender differentials. We then focus on the decision to send a child to school and on the budget share spent on educational goods. Using both parametric and semiparametric estimates, we find evidence that boys are more often sent to school and that expenditures on a boy that goes to school are larger than for a school-going girl of the same age.

Projections of future income distributions at subnational levels are becoming increasingly important for a variety of analyses and evaluations. However, relevant datasets are currently limited. This study presents a methodological framework that introduces machine learning algorithms to a top-down approach used for generating income distribution datasets. We project per capita disposable income and income inequality for 31 Chinese provinces from 2020 to 2100, considering different scenarios based on China’s local circumstances, and then estimate income distributions based on these. After accounting for necessary consistency between provincial, urban, and rural income datasets, we further generate the same data products at the urban and rural level for each province. We validate our projection results drawing on data from 2007-2023 for China’s disposable income, data from 2007 to 2019 for provincial income inequality in China, as well as national income inequality data for the past 20 to 60 years from select developed countries. The proposed methodology provides flexibility to generate similar data products according to a user’s specific needs. Our resulting datasets have several potential applications and can serve as inputs for research on drivers and impacts across social, economic, and environmental domains.

Abstract (en): The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities. Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of region and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Smallest Geographic Unit: Chinese banners (8) The data are from 725 surviving triennial registers from 29 distinct populations. Each of the 29 register series corresponded to a specific rural population concentrated in a small number of neighboring villages. These populations were affiliated with the Eight Banner civil and military administration that the Qing state used to govern northeast China as well as some other parts of the country. 16 of the 29 populations are regular bannermen. In these populations adult males had generous allocations of land from the state, and in return paid an annual fixed tax to the Imperial Household Agency, and provided to the Imperial Household Agency such home products as homespun fabric and preserved meat, and/or such forest products as mushrooms. In addition, as regular bannermen they were liable for military service as artisans and soldiers which, while in theory an obligation, was actually an important source of personal revenue and therefore a political privilege. 8 of the 29 populations are special duty banner populations. As in the regular banner population, the adult males in the special duty banner populations also enjoyed state allocated land free of rent. These adult males were also assigned to provide special services, including collecting honey, raising bees, fishing, picking cotton, and tanning and dyeing. The remaining populations were a diverse mixture of estate banner and servile populations. The populations covered by the registers, like much of the population of rural Liaoning in the eighteenth and nineteenth centuries, were mostly descendants of Han Chinese settlers who came from Shandong and other nearby provinces in the late seventeenth and early eighteenth centuries in response to an effort by the Chinese state to repopulate the region. 2016-09-06 2016-09-06 The Training Guide has been updated to version 3.60. Additionally, the Principal Investigator affiliation has been corrected, and cover sheets for all PDF documents have been revised.2014-07-10 Releasing new study level documentation that contains the tables found in the appendix of the Analytic dataset codebook.2014-06-10 The data and documentation have been updated following re-evaluation.2014-01-29 Fixing variable format issues. Some variables that were supposed to be s...

Population: County: Age 65 and Above: Hainan data was reported at 0.550 Person th in 2023. This records an increase from the previous number of 0.527 Person th for 2022. Population: County: Age 65 and Above: Hainan data is updated yearly, averaging 0.382 Person th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 499.994 Person th in 2020 and a record low of 0.272 Person th in 2017. Population: County: Age 65 and Above: Hainan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Age and Region: Rural.

In terms of medical personnel density, the healthcare system in rural China is lagging behind compared to the urban regions. In 2018, there were only 1.8 nurses per 10,000 population in the rural areas of the country, compared to 5.08 nurses per 10,000 population in urban regions.

This graph shows the use of pesticide in rural China in 2019, by region. In 2019, around 25,300 metric tons of pesticide had been used in Shanxi province.

CN: Population: Rural: Yunnan: Baoshan: Longling data was reported at 246.516 Person th in 2017. This records an increase from the previous number of 245.500 Person th for 2016. CN: Population: Rural: Yunnan: Baoshan: Longling data is updated yearly, averaging 250.500 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 260.000 Person th in 2011 and a record low of 243.458 Person th in 2015. CN: Population: Rural: Yunnan: Baoshan: Longling data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

CN: Population: Rural: Yunnan: Chuxiong: Chuxiong data was reported at 293.832 Person th in 2017. This records a decrease from the previous number of 297.400 Person th for 2016. CN: Population: Rural: Yunnan: Chuxiong: Chuxiong data is updated yearly, averaging 360.000 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 370.000 Person th in 2011 and a record low of 293.832 Person th in 2017. CN: Population: Rural: Yunnan: Chuxiong: Chuxiong data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

This statistic depicts the average annual disposable income per capita of rural households in China in 2023, by geographic region. In 2023, the disposable annual income of rural household members in Eastern China came to around 26,907 yuan.

CN: Population: Rural: Yunnan: Qujing: Fuyuan data was reported at 731.371 Person th in 2017. This records an increase from the previous number of 726.900 Person th for 2016. CN: Population: Rural: Yunnan: Qujing: Fuyuan data is updated yearly, averaging 683.000 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 731.371 Person th in 2017 and a record low of 627.000 Person th in 2004. CN: Population: Rural: Yunnan: Qujing: Fuyuan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

CN: Population: Rural: Yunnan: Lincang: Sahuangjiang data was reported at 154.367 Person th in 2017. This records an increase from the previous number of 153.300 Person th for 2016. CN: Population: Rural: Yunnan: Lincang: Sahuangjiang data is updated yearly, averaging 150.000 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 154.367 Person th in 2017 and a record low of 140.000 Person th in 2009. CN: Population: Rural: Yunnan: Lincang: Sahuangjiang data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

This graph shows irrigation areas in rural China in 2019, by region. In 2019, approximately 4.2 million hectares of land had been irrigated in Jiangsu province.

CN: Population: Rural: Yunnan: Wenshan: Wenshan data was reported at 370.312 Person th in 2017. This records an increase from the previous number of 367.700 Person th for 2016. CN: Population: Rural: Yunnan: Wenshan: Wenshan data is updated yearly, averaging 362.000 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 373.000 Person th in 2012 and a record low of 350.000 Person th in 2009. CN: Population: Rural: Yunnan: Wenshan: Wenshan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

CN: Population: Rural: Yunnan: Lijiang: Ninglang data was reported at 256.033 Person th in 2017. This records an increase from the previous number of 250.400 Person th for 2016. CN: Population: Rural: Yunnan: Lijiang: Ninglang data is updated yearly, averaging 235.500 Person th from Dec 2004 (Median) to 2017, with 12 observations. The data reached an all-time high of 256.033 Person th in 2017 and a record low of 224.000 Person th in 2004. CN: Population: Rural: Yunnan: Lijiang: Ninglang data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: Rural: County Level Region.

In 2022, the eastern rural region proportioned the largest part of rural China's total online retail sales revenue, amounting to almost 78 percent. The northeast China rural region enjoyed the fastest growth in rural China, with a 15.3 percent annual growth rate in compared the the same period last year.