The statistic shows the population of Xi'an in China from 1980 to 2010, with forecasts up until 2035. In 2010, the population of Xi'an had amounted to about **** million inhabitants and was forecasted to reach around ***** million by 2020.

Population: Usual Residence: Natural Growth Rate: Shaanxi: Xian data was reported at 0.360 ‰ in 2023. This records a decrease from the previous number of 0.780 ‰ for 2022. Population: Usual Residence: Natural Growth Rate: Shaanxi: Xian data is updated yearly, averaging 4.435 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 7.200 ‰ in 2017 and a record low of 0.360 ‰ in 2023. Population: Usual Residence: Natural Growth Rate: Shaanxi: Xian data remains active status in CEIC and is reported by Xian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Usual Residence: Natural Growth Rate. Birth rate,death rate and natural growth rate of population are estimated by Xi'an Bureau of Statistics on the basis of population censuses, the one percent sample survey on population, or annual sample surveys on population changes.

Population: Shaanxi: Xian: Changan data was reported at 1,367.726 Person th in 2023. This records an increase from the previous number of 1,347.796 Person th for 2022. Population: Shaanxi: Xian: Changan data is updated yearly, averaging 1,049.490 Person th from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 1,367.726 Person th in 2023 and a record low of 926.000 Person th in 2004. Population: Shaanxi: Xian: Changan 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: County Level Region.

Historical dataset of population level and growth rate for the Xian, Shaanxi, China metro area from 1950 to 2025.

Population: Usual Residence: Urbanization Rate: Shaanxi: Xian data was reported at 79.880 % in 2023. This records an increase from the previous number of 79.590 % for 2022. Population: Usual Residence: Urbanization Rate: Shaanxi: Xian data is updated yearly, averaging 74.470 % from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 79.880 % in 2023 and a record low of 63.280 % in 2005. Population: Usual Residence: Urbanization Rate: Shaanxi: Xian data remains active status in CEIC and is reported by Xian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.

In 2021, around **** million people were estimated to be living in the urban area of Shanghai. Shanghai was the largest city in China in 2021, followed by Beijing, with around **** million inhabitants. The rise of the new first-tier cities The past decades have seen widespread and rapid urbanization and demographic transition in China. While the four first-tier megacities, namely Beijing, Shanghai, Guangzhou, and Shenzhen, are still highly attractive to people and companies due to their strong ability to synergize the competitive economic and social resources, some lower-tier cities are already facing declining populations, especially those in the northeastern region. Below the original four first-tier cities, 15 quickly developing cities are sharing the cake of the moving population with improving business vitality and GDP growth potential. These new first-tier cities are either municipalities directly under the central government, such as Chongqing and Tianjin, or regional central cities and provincial capitals, like Chengdu and Wuhan, or open coastal cities in the economically developed eastern regions. From urbanization to metropolitanization As more and more Chinese people migrate to large cities for better opportunities and quality of life, the ongoing urbanization has further evolved into metropolitanization. Among those metropolitans, Shenzhen's population exceeded **** million in 2020, a nearly ** percent increase from a decade ago, compared to eight percent in the already densely populated Shanghai. However, with people rushing into the big-four cities, the cost of housing, and other living standards, are soaring. As of 2020, the average sales price for residential real estate in Shenzhen exceeded ****** yuan per square meter. As a result, the fast-growing and more cost-effective new first-tier cities would be more appealing in the coming years. Furthermore, Shanghai and Beijing have set plans to control the size of their population to ** and ** million, respectively, before 2035.

Population: Shaanxi: Xian: Usual Residence data was reported at 13,078.200 Person th in 2023. This records an increase from the previous number of 12,995.900 Person th for 2022. Population: Shaanxi: Xian: Usual Residence data is updated yearly, averaging 9,480.000 Person th from Dec 2000 (Median) to 2023, with 20 observations. The data reached an all-time high of 13,078.200 Person th in 2023 and a record low of 7,411.400 Person th in 2000. Population: Shaanxi: Xian: Usual Residence data remains active status in CEIC and is reported by Xian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City. Since 2017, the permanent population contains Xixian new area.

Population: Shaanxi: Xian: Hu data was reported at 646.323 Person th in 2023. This records an increase from the previous number of 646.197 Person th for 2022. Population: Shaanxi: Xian: Hu data is updated yearly, averaging 607.015 Person th from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 646.323 Person th in 2023 and a record low of 578.000 Person th in 2004. Population: Shaanxi: Xian: Hu 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: County Level Region.

Population: Shaanxi: Xian: Zhouzhi data was reported at 694.992 Person th in 2023. This records a decrease from the previous number of 698.388 Person th for 2022. Population: Shaanxi: Xian: Zhouzhi data is updated yearly, averaging 682.385 Person th from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 699.374 Person th in 2020 and a record low of 630.000 Person th in 2005. Population: Shaanxi: Xian: Zhouzhi 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: County Level Region.

Population: Shaanxi: Xian: Lantian data was reported at 654.342 Person th in 2023. This records a decrease from the previous number of 656.918 Person th for 2022. Population: Shaanxi: Xian: Lantian data is updated yearly, averaging 651.970 Person th from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 657.632 Person th in 2021 and a record low of 630.000 Person th in 2005. Population: Shaanxi: Xian: Lantian 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: County Level Region.

1 Including NDVI data and LST data of Guanzhong region of China from 2001 to 2018, in TIF format.2 Including DEM; River; Pop ; GDP Traffic; City; Urbanization rate; Tourist AttractionsThe present study obtained data for NDVI from the MOD13A2 dataset of the United States Geological Survey (USGS) network (https://lpdaac.usgs.gov/) with a spatial resolution of 1,000 m. Data for population were obtained from the China Population Distribution Kilometer Grid Dataset of the Resource and Environmental Science Data Center of the Chinese Academy of Sciences (http://www.resdc.cn/). GDP data were obtained from the GDP China Spatial Distribution Kilometer Grid Dataset of the Resource and Environmental Science Data Center of the Chinese Academy of Sciences. Data for the transport network in the present study included national highway, provincial highway, county roads, and railway data. Population data used in the present study included data for residents of the municipal areas of Xi’an, Baoji, Xianyang, Tongchuan, and Weinan, as well as national-level population data. Vector data were obtained from the National Basic Geographic Information Center. Data for the distribution of popular tourist natural attractions were obtained the Department of Culture and Tourism, Shaanxi Province, including the 4A- and 5A-level natural tourist attractions, and were for the period prior to January, 2018. Data for rates of urbanization were obtained from statistical yearbooks of cities and counties.

Analysis unit

Persons and households

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: Occupied dwelling with independent entryway used for shelter - Households: Group of persons, related or not, who live together under the same roof and share food expenses - Group quarters: Building used to shelter people for reasons of assistance, health, education, religion, confinement or service

Universe

Mexican citizens, including Mexican diplomats and their families resident in other countries; foreign residents, not including foreigners in diplomatic service or their families. The census sought to enumerate vagrants, the homeless, and transient workers. The current version of the microdata sample excludes persons living abroad.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Instituto Nacional de Estadística, Geografía e Informática (INEGI)

SAMPLE SIZE (person records): 8118242.

SAMPLE DESIGN: Systematic sample of private dwellings. Geographically sorted by population size (municipality and locality) to increase precision. Samples executed independently for each federal entity.

Mode of data collection

Face-to-face [f2f]

Research instrument

Separate enumeration form for each dwelling

This point shapefile represents the district locations, with 2000 population census data, for the Fujian Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. This layer is part of the China 2000 township population census dataset.The 2000 China township maps are developed for matching 2000 China population Census data, which should only be used as references for research or education instead of used as official maps.

Population: Shaanxi: Xian: Household Registration data was reported at 10,145.921 Person th in 2022. This records an increase from the previous number of 9,994.529 Person th for 2021. Population: Shaanxi: Xian: Household Registration data is updated yearly, averaging 7,816.700 Person th from Dec 1996 (Median) to 2022, with 27 observations. The data reached an all-time high of 10,145.921 Person th in 2022 and a record low of 6,548.700 Person th in 1996. Population: Shaanxi: Xian: Household Registration data remains active status in CEIC and is reported by Xian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

This polygon shapefile contains county boundaries and population data for China from the 1964 Census. These data were primarily based on "The Historical Administrative Maps of the People's Republic of China" published by China Map Press.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

US Census American Community Survey (ACS) 2021, 5-year estimates of the key demographic characteristics of Census Tracts geographic level in Orange County, California. The data contains 105 fields for the variable groups D01: Sex and age (universe: total population, table X1, 49 fields); D02: Median age by sex and race (universe: total population, table X1, 12 fields); D03: Race (universe: total population, table X2, 8 fields); D04: Race alone or in combination with one or more other races (universe: total population, table X2, 7 fields); D05: Hispanic or Latino and race (universe: total population, table X3, 21 fields), and; D06: Citizen voting age population (universe: citizen, 18 and over, table X5, 8 fields). The US Census geodemographic data are based on the 2021 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project GitHub page (https://github.com/ktalexan/OCACS-Geodemographics).

Population: Shaanxi: Xian: Gaoling data was reported at 388.430 Person th in 2023. This records an increase from the previous number of 382.741 Person th for 2022. Population: Shaanxi: Xian: Gaoling data is updated yearly, averaging 326.175 Person th from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 388.430 Person th in 2023 and a record low of 234.000 Person th in 2004. Population: Shaanxi: Xian: Gaoling 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: County Level Region.

Abstract copyright UK Data Service and data collection copyright owner. This study investigates the alarming rise of urban poverty in China; in particular the patterns of urban poverty and the institutional causes are examined. The researchers look for evidence of institutional innovations that have emerged as individuals and organisations seek to negotiate more secure access to vital civic goods and services. A case study approach was used due to the complexity of the issue and the size of the Chinese urban population. Six cities were chosen and four neighbourhoods in each city were investigated. These cities were distributed in the costal, central and western region respectively, including Guangzhou, Nanjing, Harbin, Wuhan, Kumin, and Xi’an. Further information is available from the ESRC Award webpage. Main Topics: The questionnaire has sections on:demographic informationhousehold income and expendituresocial benefits/welfarehousingemployment situationneighbourhood profilecommuting and relocation One-stage stratified or systematic random sample Face-to-face interview

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: A dwelling is any structurally separate and independent room, place or lodging space which was built or arranged for human habitation. It must not be in use for any other purpose at the time of the census. - Households: A household is one or several people who may or may not be in the same family and who live together under the same roof to provide for their food requirements. - Group quarters: A collective dwelling is any room, place, or physical space which is separate and independent and in which people are subject to certain required norms of living for reasons of housing, health, work, education, religion, status as orphans, rehabilitation, etc.

Universe

All persons residing in the country

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics

SAMPLE SIZE (person records): 1121946.

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by IPUMS

Mode of data collection

Face-to-face [f2f]

Research instrument

Single form with sections on individuals and household characteristics