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.

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: 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.

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.

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

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: 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.

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.

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.

About this dataset

Context

The dataset tabulates the Cottonwood population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Cottonwood across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Cottonwood was 11, a 0.00% decrease year-by-year from 2021. Previously, in 2021, Cottonwood population was 11, an increase of 10.00% compared to a population of 10 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Cottonwood increased by 5. In this period, the peak population was 11 in the year 2021. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Cottonwood is shown in this column.
• Year on Year Change: This column displays the change in Cottonwood population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cottonwood Population by Year. You can refer the same here

The Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 consists of estimates of human population (number of persons per pixel), consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative Units, was used to assign population counts to 30 arc-second grid cells. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions.

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.

This point shapefile represents the prefecture city locations, with 2000 population census data, for the Jiangsu 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.

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

The Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11 consists of estimates of human population by age and sex as counts (number of persons per pixel) and densities (number of persons per square kilometer), consistent with national censuses and population registers, for the year 2010. To estimate the male and female populations by age in 2010, the proportions of males and females in each 5-year age group from ages 0-4 to ages 85+ for the given census year were calculated. These proportions were then applied to the 2010 estimates of the total population to obtain 2010 estimates of male and female populations by age. In some cases, the spatial resolution of the age and sex proportions was coarser than the resolution of the total population estimates to which they were applied. The population density rasters were created by dividing the population count rasters by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions.

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.

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, in the Autonomous region of Tibet (Xizang) 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.

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.