Chart and table of population level and growth rate for the Dongguan, China metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

Population: Census: Guangdong: Dongguan data was reported at 10,466.625 Person th in 12-01-2020. This records an increase from the previous number of 8,220.200 Person th for 12-01-2010. Population: Census: Guangdong: Dongguan data is updated decadal, averaging 8,220.200 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 10,466.625 Person th in 12-01-2020 and a record low of 6,445.777 Person th in 12-01-2000. Population: Census: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

Population: Household Registration: Female: Guangdong: Dongguan data was reported at 1,592.100 Person th in 2023. This records an increase from the previous number of 1,502.949 Person th for 2022. Population: Household Registration: Female: Guangdong: Dongguan data is updated yearly, averaging 915.550 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 1,592.100 Person th in 2023 and a record low of 753.900 Person th in 2000. Population: Household Registration: Female: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: By Sex.

Population: Guangdong: Dongguan: Household Registration data was reported at 3,078.800 Person th in 2023. This records an increase from the previous number of 2,924.543 Person th for 2022. Population: Guangdong: Dongguan: Household Registration data is updated yearly, averaging 1,471.200 Person th from Dec 1949 (Median) to 2023, with 53 observations. The data reached an all-time high of 3,078.800 Person th in 2023 and a record low of 682.400 Person th in 1949. Population: Guangdong: Dongguan: Household Registration data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

This statistic illustrates the population of the Guangdong - Hong Kong - Macao Greater Bay Area cities in 2023. That year, the population of Guangzhou amounted to approximately 18.83 million people, making it the largest city by population in the region.

Population: Inflow: Guangdong: Dongguan data was reported at 124.298 Person th in 2022. This records a decrease from the previous number of 132.051 Person th for 2021. Population: Inflow: Guangdong: Dongguan data is updated yearly, averaging 29.621 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 173.662 Person th in 2018 and a record low of 15.618 Person th in 2000. Population: Inflow: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Non-natural Change.

In 2022, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area reached around 86.6 million. In terms of population, China's Greater Bay Area was larger than other major Bay Areas in the world. However, per capita GDP was only about half of that in the Tokyo Bay Area and only one seventh of that in the San Francisco Bay Area.

Population: Usual Residence: Urbanization Rate: Guangdong: Dongguan data was reported at 92.825 % in 2023. This records an increase from the previous number of 92.250 % for 2022. Population: Usual Residence: Urbanization Rate: Guangdong: Dongguan data is updated yearly, averaging 89.500 % from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 92.825 % in 2023 and a record low of 88.460 % in 2010. Population: Usual Residence: Urbanization Rate: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.

Chart and table of population level and growth rate for the Guangzhou, Guangdong, China metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

Number of Household: Guangdong: Dongguan data was reported at 5,057.386 Unit th in 2020. This records an increase from the previous number of 732.300 Unit th for 2019. Number of Household: Guangdong: Dongguan data is updated yearly, averaging 535.000 Unit th from Dec 2005 (Median) to 2020, with 12 observations. The data reached an all-time high of 5,057.386 Unit th in 2020 and a record low of 465.000 Unit th in 2005. Number of Household: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: No of Household.

Population: Household Registration: Urbanization Rate: Guangdong: Dongguan data was reported at 96.540 % in 2022. This records an increase from the previous number of 96.393 % for 2021. Population: Household Registration: Urbanization Rate: Guangdong: Dongguan data is updated yearly, averaging 51.120 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 96.540 % in 2022 and a record low of 25.960 % in 2000. Population: Household Registration: Urbanization Rate: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate. Since 2015,the donotation of Non-agriculture Population has been adjusted to Urban Population.

Population: Household Registration: Natural Growth Rate: Guangdong: Dongguan data was reported at 6.250 ‰ in 2023. This records a decrease from the previous number of 6.530 ‰ for 2022. Population: Household Registration: Natural Growth Rate: Guangdong: Dongguan data is updated yearly, averaging 6.360 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 17.380 ‰ in 2017 and a record low of 5.650 ‰ in 2003. Population: Household Registration: Natural Growth Rate: Guangdong: Dongguan data remains active status in CEIC and is reported by Dongguan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Growth Rate.

Abstract

This research was carried out in China between December 2011 and February 2013. Data was collected from 2,700 privately-owned and 148 state-owned firms.

The objective of Enterprise Surveys is to obtain feedback from businesses on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

Usually Enterprise Surveys focus only on private companies, but in China, a special sample of fully state-owned establishments was included as this is an important part of the economy. Data on 148 state-owned enterprises is provided separately from the data of 2,700 private sector firms. To maintain comparability of the China Enterprise Surveys to surveys conducted in other countries, only the dataset of privately sector firms should be used.

Geographic coverage

Twenty-five metro areas: Beijing (municipalities), Chengdu City, Dalian City, Dongguan City, Foshan City, Guangzhou City, Hangzhou City, Hefei City, Jinan City, Luoyang City, Nanjing City, Nantong City, Ningbo City, Qingdao City, Shanghai (municipalities), Shenyang City, Shenzhen City, Shijiazhuang City, Suzhou City, Tangshan City, Wenzhou City, Wuhan City, Wuxi City, Yantai City, Zhengzhou City.

Analysis unit

The primary sampling unit of the study is an establishment.The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy of firms with at least 5 employees and positive amounts of private ownership. The non-agricultural economy comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for China ES was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the following way: the universe was stratified into 11 manufacturing industries and 7 services industries as defined in the sampling manual. Each manufacturing industry had a target of 150 interviews. Sample sizes were inflated by about 20% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. Note that 100% government owned firms are categorized independently of their industrial classification. The 148 surveyed state-owned enterprises were categorized as a separate sector group to preserve the representativeness of other sector groupings for the private economy.

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in twenty-five metro areas: Beijing (municipalities), Chengdu City, Dalian City, Dongguan City, Foshan City, Guangzhou City, Hangzhou City, Hefei City, Jinan City, Luoyang City, Nanjing City, Nantong City, Ningbo City, Qingdao City, Shanghai (municipalities), Shenyang City, Shenzhen City, Shijiazhuang City, Suzhou City, Tangshan City, Wenzhou City, Wuhan City, Wuxi City, Yantai City, Zhengzhou City.

The sample frame was obtained by SunFaith from SinoTrust.

The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 3,000 establishments with five or more employees. The quality of the frame was assessed at the onset of the project through calls to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments are needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 31% (6,485 out of 20,616 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Services Questionnaire, - Manufacturing Questionnaire, - Screener Questionnaire.

The Services Questionnaire is administered to the establishments in the services sector. The Manufacturing Questionnaire is built upon the Services Questionnaire and adds specific questions relevant to manufacturing.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of contacted establishments per realized interview was 7.24. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.55.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

人口数:广东:东莞:户籍在12-01-2023达3,078.800千人，相较于12-01-2022的2,924.543千人有所增长。人口数:广东:东莞:户籍数据按年更新，12-01-1949至12-01-2023期间平均值为1,471.200千人，共53份观测结果。该数据的历史最高值出现于12-01-2023，达3,078.800千人，而历史最低值则出现于12-01-1949，为682.400千人。CEIC提供的人口数:广东:东莞:户籍数据处于定期更新的状态，数据来源于东莞市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City。

人口数:普查:广东:东莞在12-01-2020达10,466.625千人，相较于12-01-2010的8,220.200千人有所增长。人口数:普查:广东:东莞数据按十年更新，12-01-2000至12-01-2020期间平均值为8,220.200千人，共3份观测结果。该数据的历史最高值出现于12-01-2020，达10,466.625千人，而历史最低值则出现于12-01-2000，为6,445.777千人。CEIC提供的人口数:普查:广东:东莞数据处于定期更新的状态，数据来源于东莞市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City: By Census。

人口:常住:城镇化率:广东:东莞在12-01-2023达92.825%，相较于12-01-2022的92.250%有所增长。人口:常住:城镇化率:广东:东莞数据按年更新，12-01-2010至12-01-2023期间平均值为89.500%，共14份观测结果。该数据的历史最高值出现于12-01-2023，达92.825%，而历史最低值则出现于12-01-2010，为88.460%。CEIC提供的人口:常住:城镇化率:广东:东莞数据处于定期更新的状态，数据来源于东莞市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City: Urbanization Rate。

人口数:常住:城镇:广东:东莞在12-01-2023达9,733.000千人，相较于12-01-2022的9,628.133千人有所增长。人口数:常住:城镇:广东:东莞数据按年更新，12-01-2010至12-01-2023期间平均值为9,195.620千人，共14份观测结果。该数据的历史最高值出现于12-01-2023，达9,733.000千人，而历史最低值则出现于12-01-2010，为7,275.633千人。CEIC提供的人口数:常住:城镇:广东:东莞数据处于定期更新的状态，数据来源于东莞市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City: Usual Residence: By Residence。

人口:户籍:自然变动率:广东:东莞在12-01-2023达6.250‰，相较于12-01-2022的6.530‰有所下降。人口:户籍:自然变动率:广东:东莞数据按年更新，12-01-2000至12-01-2023期间平均值为6.360‰，共24份观测结果。该数据的历史最高值出现于12-01-2017，达17.380‰，而历史最低值则出现于12-01-2003，为5.650‰。CEIC提供的人口:户籍:自然变动率:广东:东莞数据处于定期更新的状态，数据来源于东莞市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Growth Rate。

人口数:机械变动:广东:东莞在12-01-2022达116.732千人，相较于12-01-2021的123.822千人有所下降。人口数:机械变动:广东:东莞数据按年更新，12-01-2000至12-01-2022期间平均值为22.003千人，共23份观测结果。该数据的历史最高值出现于12-01-2018，达165.548千人，而历史最低值则出现于12-01-2000，为3.304千人。CEIC提供的人口数:机械变动:广东:东莞数据处于定期更新的状态，数据来源于东莞市统计局，数据归类于中国经济数据库的社会人口 – Table CN.GE: Population: Prefecture Level City: Non-natural Change。