In 2022, the estimated population density of China was around 150.42 people per square kilometer. That year, China's population size declined for the first time in decades. Although China is the most populous country in the world, its overall population density is not much higher than the average population density in Asia. Uneven population distribution China is one of the largest countries in terms of land area, and its population density figures vary dramatically from region to region. Overall, the coastal regions in the East and Southeast have the highest population densities, as they belong to the more economically developed regions of the country. These coastal regions also have a higher urbanization rate. On the contrary, the regions in the West are covered with mountain landscapes which are not suitable for the development of big cities. Populous cities in China Several Chinese cities rank among the most populous cities in the world. According to estimates, Beijing and Shanghai will rank among the top ten megacities in the world by 2030. Both cities are also the largest Chinese cities in terms of land area. The previous colonial regions, Macao and Hong Kong, are two of the most densely populated cities in the world.

Historical dataset showing China population density by year from 1961 to 2022.

Actual value and historical data chart for China Population Density People Per Sq Km

China Population Density: Inhabitants per sq km data was reported at 151.290 Person in 2022. This stayed constant from the previous number of 151.290 Person for 2021. China Population Density: Inhabitants per sq km data is updated yearly, averaging 139.320 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 151.290 Person in 2022 and a record low of 122.410 Person in 1990. China Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.GGI: Social: Demography: Non OECD Member: Annual.

This statistic shows the population density in urban areas of China in 2023, by region. In 2023, cities in Heilongjiang province had the highest population density in China with around ***** people living on one square kilometer on average. However, as the administrative areas of many Chinese cities reach beyond their contiguous built-up urban areas - and this by varying degree, the statistical significance of the given figures may be limited. By comparison, the Chinese province with the highest overall population density is Jiangsu province in Eastern China reaching about 7956 people per square kilometer in 2023.

China is a vast and diverse country and population density in different regions varies greatly. In 2024, the estimated population density of the administrative area of Shanghai municipality reached about 3,911 inhabitants per square kilometer, whereas statistically only around three people were living on one square kilometer in Tibet. Population distribution in China China's population is unevenly distributed across the country: while most people are living in the southeastern half of the country, the northwestern half – which includes the provinces and autonomous regions of Tibet, Xinjiang, Qinghai, Gansu, and Inner Mongolia – is only sparsely populated. Even the inhabitants of a single province might be unequally distributed within its borders. This is significantly influenced by the geography of each region, and is especially the case in the Guangdong, Fujian, or Sichuan provinces due to their mountain ranges. The Chinese provinces with the largest absolute population size are Guangdong in the south, Shandong in the east and Henan in Central China. Urbanization and city population Urbanization is one of the main factors which have been reshaping China over the last four decades. However, when comparing the size of cities and urban population density, one has to bear in mind that data often refers to the administrative area of cities or urban units, which might be much larger than the contiguous built-up area of that city. The administrative area of Beijing municipality, for example, includes large rural districts, where only around 200 inhabitants are living per square kilometer on average, while roughly 20,000 residents per square kilometer are living in the two central city districts. This is the main reason for the huge difference in population density between the four Chinese municipalities Beijing, Tianjin, Shanghai, and Chongqing shown in many population statistics.

Content

The current population of China is 1,448,978,293 as of Wednesday, March 30, 2022, based on Worldometer elaboration of the latest United Nations data. This three datasets contain population data of China (2020 and historical), population forecast and population in major cities.

Attribute Information

• Year - Years from 2020-1955
• Population - Population in the respective year
• Yearly % Change - Percentage Yearly Change in Population
• Yearly Change - Yearly Change in Population
• Migrants (net) - Total number of migrants
• Median Age - Median age of the population
• Fertility Rate - Fertility rate
• Density (P/Km²)- Population density (population per square km)
• Urban Pop %- Percentage of urban population
• Urban Population- Urban population
• Country's Share of World Pop - Population share
• World Population - World Population in the respective year
• China Global Rank - Global Rank in Population

Source

Link : https://www.worldometers.info/world-population/china-population/

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Facility agricultural land is a component of other land, which is widely distributed throughout the country, and is of great significance for large-scale breeding production and rural revitalization. The spatial density distribution of facility agricultural land reflects the level of regional large-scale breeding and agricultural technology development, which can provide a reference basis for regional agricultural resource development and rural non-point source pollution prevention, and has reference value for strengthening the supervision of rural land resource utilization. This paper uses the 30 meter land use grid data of the 2020 National Land Change Survey, uses the kilometer grid production software, and calculates the grid space to obtain the data set of China's 1km grid facility agricultural land density in 2020. This data set can be used for research on rural revitalization planning, rural industry planning, agricultural non-point source pollution assessment, remote sensing sample library, etc.

Population Density data was reported at 21.100 Person/sq km th in 2017. This records a decrease from the previous number of 21.400 Person/sq km th for 2016. Population Density data is updated yearly, averaging 18.500 Person/sq km th from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 21.400 Person/sq km th in 2016 and a record low of 16.200 Person/sq km th in 2003. Population Density data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau SAR – Table MO.G006: Population Density.

Abstract

The objective of the Second National Agricultural Census is to understand in an overall manner the basic situation of agriculture, rural areas and residents of the country in order to build up foundation for the study and foimulation of economic and social development planning and scientific decision-making and to provide statistic information service to agricultural producers and operators as well as the general public The objects of the Second National Agricultural Census are the following entities and households within the territory of the People's Republic of China:

(1) Rural household: it includes rural agricultural households (rural household agricultural holdings) and rural other households no matter whether the register identification of members of the household is local or not and whether is agricultural or not. Rural agricultural households refer to those households engaged in agriculture activities, including crop farming, forestry, animal husbandry, fishery/aquaculture and agricultural service in rural areas. Rural other households refer to those households inhibited in rural areas withou tengaging agricultural activities.

(2) Urban agricultural household (urban household agricultural holdings): it refers to those households engaged in agriculture activities, including crop farming, forestry, animal husbandry, fishery/aquaculture and agricultural service in urban areas.

(3) Non-household agricultural holding: it refers to legal entities, agricultural establishments of legal entities with multiple-establishments and unregistered entities that basically satisfied with the qualification of legal person, which are engaged in agriculture activities, including crop farming, forestry, animal husbandry, fishery/aquaculture and agricultural service except households. It includes not only enterprises, public service organization and cooperative of farmer households with agriculture as the major industry, but also agricultural establishments of agricultural production and operation affiliated to industrial and mining enterprises, government agencies, social groups and schools.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit of the AC 2006 was the agricultural holding, defined as the household or the entity in the non-household sector engaged in crop farming, animal husbandry, forestry, fishery and agricultural services on agricultural land, and that meet one of the criteria specified as a threshold (see section 7 below). The agricultural holdings were classified as: (a) household agricultural holdings or (b) non-household agricultural holdings, as identified by surveying the following entities and households within the territory of the People's Republic of China: (i) rural households;' (ii) urban agricultural households;2 and (iii) non-household agricultural holdings (agricultural establishments).

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Demarcation of enumeration area

• Enumeration area is demarcated according with the area administered by villagers' committee as a unit. Each enumeration area is manned by at least one supervisor;

• Under the Enumeration area, sub-enumeration areas are established according with villagers' group in principle. If no villagers' group has been set up, or the villagers' group is excessively big or the boundary is not clearly defined, or the households of the same villagers' group are dispersed in over 5 clusters, clear geographic marks should be used to demarcate the sub-enumeration area. The size of sub-enumeration area and the number of enumerator is set for the completion of field enumeration in 10-15 days. Usually, the size of sub-enumeration area is 50 to 100 households. It could be 20-50 households in the area with less population density and difficulties in transportation. Each sub-enumeration area is manned by at least one enumerator.

(b) Frame At village level, the household list for rural residents was used as the census frame. For non-household holdings, administrative records for enterprises from government regulatory agencies were used as a reference for the census. The enumerators were required to identify each eligible enterprise and establishment in scope.

Mode of data collection

Face-to-face [f2f]

Research instrument

Four types of questionnaires were used in the AC 2006:

(i) questionnaires for households (which covered all households in rural areas and urban agricultural households) (ii) questionnaires for agricultural holdings in the non-household sector (three specific questionnaires for different types of units) (iii) village questionnaires (iv) township questionnaires (v) agricultural land questionnaires

The AC 2006 questionnaires covered all 16 core items recommended for the WCA 2010 round, namely;

0001 Identification and location of agricultural holding 0002+ Legal status of agricultural holder 0003 Sex of agricultural holder 0004 Age of agricultural holder 0005 Household size 0006 Main purpose of production of the holding 0007 Area of holding according to land use types 0008 Total area of holding 0009 Land tenure types on the holding 0010 Presence of irrigation on the holding 0011 Types of temporary crops on the holding 0012 Types of permanent crops on the holding and whether in compact plantation 0013 Number of animals on the holding for each livestock type 0014 Presence of aquaculture on the holding 0015+ Presence of forest and other wooded land on the holding 0016 Other economic production activities of the holding's enterprise

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING A combination of different methods, such as manual data entry and scanning, was used for census data capture. The software used for data capture, processing, analysis and tabulations were aPRAS and SAS. Microdata were stored on the server.

(b) CENSUS DATA QUALITY After enumeration was completed, the ACO organized three-level data quality checks, including the PES of households, data verification on agricultural land parcels, and the proof for data processing. The PES of households consisted of 110 sample counties covering 330 census areas, and more than 20 000 households. It was conducted using a stratified two-stage sampling method. The census data were verified against the registration results of the AC.

Data appraisal

Scanning (OCR) was used for census data capture. Census results were disseminated and are accessible online.

Hong Kong SAR (China) Population Density: Inhabitants per sq km data was reported at 7,110.400 Person in 2022. This records a decrease from the previous number of 7,128.190 Person for 2021. Hong Kong SAR (China) Population Density: Inhabitants per sq km data is updated yearly, averaging 6,601.040 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 7,133.560 Person in 2020 and a record low of 5,616.760 Person in 1990. Hong Kong SAR (China) Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Hong Kong HK: Population Density: People per Square Km data was reported at 7,039.714 Person/sq km in 2017. This records an increase from the previous number of 6,987.238 Person/sq km for 2016. Hong Kong HK: Population Density: People per Square Km data is updated yearly, averaging 5,743.636 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 7,039.714 Person/sq km in 2017 and a record low of 3,105.980 Person/sq km in 1961. Hong Kong HK: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong SAR – Table HK.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

By the end of 2022, the population density in Henan province in China increased to around *** people per square kilometer. Henan is one of the most populous provinces in China. It is located in China's middle region, next to Hebei, Shanxi, Shaanxi, Anhui and Hubei.

Studying the spatial relationship and driving forces between grain production and economic development in China can assist in the coordinated development of economic growth and grain production in both China and other developing countries. Based on panel data from 2000 to 2019 covering 2018 county-level units in China, this study comprehensively investigated the spatial distribution, spatial differences, dynamic evolution of distribution, and driving factors of China’s county-level spatial deviation index of grain and economy (SDIGE) using methods such as the standard deviation ellipse method, the three-stage nested decomposition of Theil index, kernel density estimation, and geographically weighted regression (GWR) model. The results show that (1) from 2000 to 2019, China’s SDIGE showed a development trend of "up—down—up," and the highest SDIGE was in the northeast region, the lowest in the east region, and the spatial pattern of "high in the northeast—low in the east coast" was increasingly prominent. (2) In terms of spatial difference, the overall difference of SDIGE in China from 2000 to 2019 showed a rising trend of development; The average contribution rate of the regional difference to the overall difference was the lowest, maintained at about 17.82%; The average contribution rate of intra city and inter-county differences to the overall difference is the highest, which is about 34.20%. (3) In terms of the driving force, the level of economic development hurts SDIGE, while population density, industrial structure, fiscal decentralisation, and terrain fluctuation have a positive and negative impact on SDIGE. To alleviate the imbalance between China’s economic development and grain production, it is necessary to implement differentiated policy measures tailored to the specific characteristics of different regions to assist agricultural producers and enhance the stability of grain production.

In 2023, the average population density of Beijing municipality was ***** people per square kilometer, slightly less than in the previous year. Beijing municipality includes the city center and the relatively large urban area around the city. The population density in different districts of Beijing municipality varies greatly.

As of 2023, the population density in Guangdong province in China was around *** persons per square kilometer. Guangdong is the most populous province in China, and its population density is higher than in many countries in the world.

Population: This dataset contains 65-years’ time serial data of whole China (unit: million persons), each provinces (unit: 10000 persons), and each county. The source data are originally collected from China Statistical Yearbook from 1949 to 2013. The county data covers 2000, 2006, 2007, and 2009. In addition, 4 years (1995, 2000, 2005, 2010) population distributions cover the whole land region in China are also included in this dataset. Such data is expressed as raster format with 1 km resolution and a projection of Albers. Attribute information mainly includes population density (unit: number of person per square kilometer). The source data are originally provided by Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (RESDC) (http://www.resdc.cn) and Data Sharing Infrastructure of Earth System Science (http://www.geodata.cn).These data are not intended for demarcation.

Comprehensive socio-economic dataset for China including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Macau SAR (China) Population Density: Inhabitants per sq km data was reported at 21,344.140 Person in 2022. This records an increase from the previous number of 21,042.480 Person for 2021. Macau SAR (China) Population Density: Inhabitants per sq km data is updated yearly, averaging 19,647.000 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 21,865.450 Person in 2000 and a record low of 16,889.410 Person in 2002. Macau SAR (China) Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Macau SAR (China) – Table MO.OECD.GGI: Social: Demography: Non OECD Member: Annual.

The agricultural and geographic datasets included on the China County Data collection were compiled in the early 1990s for use as inputs to the DNDC (Denitrification-Decomposition) model at UNH. DNDC is a computer simulation model for predicting carbon (C) and nitrogen (N) biogeochemistry in agricultural ecosystems. The datasets were compiled from multiple Chinese sources and all are at the county scale for 1990. The datasets which comprise this collection are listed below. Each dataset has a Child DIF designated by a numerical suffix, based on the list number below, added on to the entry id.

1) Agricultural Management 2) Crops 3) N-Deposition 4) Geography and Population 5) Land Use 6) Livestock 7) Soil Properties