Chart and table of population level and growth rate for the Dalian, China metro area from 1950 to 2025.

The statistic shows the population of Dalian in China from 1980 to 2010, with forecasts up until 2035. In 2010, the population of Dalian had amounted to about 4.18 million inhabitants and was forecasted to grow up to 7.16 million by 2035.

Population: Liaoning: Dalian: Usual Residence data was reported at 7,539.000 Person th in 2023. This records an increase from the previous number of 7,450.785 Person th for 2020. Population: Liaoning: Dalian: Usual Residence data is updated yearly, averaging 6,430.216 Person th from Dec 2004 (Median) to 2023, with 10 observations. The data reached an all-time high of 7,539.000 Person th in 2023 and a record low of 6,015.000 Person th in 2004. Population: Liaoning: Dalian: Usual Residence data remains active status in CEIC and is reported by Dalian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

Population: Liaoning: Dalian: Household Registration data was reported at 6,088.000 Person th in 2023. This records an increase from the previous number of 6,087.000 Person th for 2022. Population: Liaoning: Dalian: Household Registration data is updated yearly, averaging 5,856.200 Person th from Dec 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 6,088.000 Person th in 2023 and a record low of 5,374.000 Person th in 1996. Population: Liaoning: Dalian: Household Registration data remains active status in CEIC and is reported by Dalian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

Population: Rural: Liaoning: Dalian: Pulandian data was reported at 579.000 Person th in 2012. This records a decrease from the previous number of 580.000 Person th for 2011. Population: Rural: Liaoning: Dalian: Pulandian data is updated yearly, averaging 640.000 Person th from Dec 2004 (Median) to 2012, with 9 observations. The data reached an all-time high of 713.000 Person th in 2010 and a record low of 579.000 Person th in 2012. Population: Rural: Liaoning: Dalian: Pulandian 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.

Population: Liaoning: Dalian: Pulandian data was reported at 0.000 Person th in 2020. This records a decrease from the previous number of 771.156 Person th for 2019. Population: Liaoning: Dalian: Pulandian data is updated yearly, averaging 827.000 Person th from Dec 2004 (Median) to 2020, with 17 observations. The data reached an all-time high of 931.000 Person th in 2012 and a record low of 0.000 Person th in 2020. Population: Liaoning: Dalian: Pulandian 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: Census: Liaoning: Dalian data was reported at 7,450.785 Person th in 12-01-2020. This records an increase from the previous number of 6,690.432 Person th for 12-01-2010. Population: Census: Liaoning: Dalian data is updated decadal, averaging 6,690.432 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 7,450.785 Person th in 12-01-2020 and a record low of 5,893.692 Person th in 12-01-2000. Population: Census: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian 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: Liaoning: Dalian: Changhai data was reported at 69.367 Person th in 2020. This records a decrease from the previous number of 70.728 Person th for 2019. Population: Liaoning: Dalian: Changhai data is updated yearly, averaging 73.000 Person th from Dec 2004 (Median) to 2020, with 17 observations. The data reached an all-time high of 80.000 Person th in 2005 and a record low of 69.367 Person th in 2020. Population: Liaoning: Dalian: Changhai 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: Rural: Liaoning: Dalian: Wafangdian data was reported at 729.000 Person th in 2012. This records a decrease from the previous number of 730.000 Person th for 2011. Population: Rural: Liaoning: Dalian: Wafangdian data is updated yearly, averaging 726.000 Person th from Dec 2004 (Median) to 2012, with 9 observations. The data reached an all-time high of 740.000 Person th in 2004 and a record low of 659.000 Person th in 2008. Population: Rural: Liaoning: Dalian: Wafangdian 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.

Population: Liaoning: Dalian: Wafangdian data was reported at 971.944 Person th in 2020. This records a decrease from the previous number of 984.108 Person th for 2019. Population: Liaoning: Dalian: Wafangdian data is updated yearly, averaging 1,000.000 Person th from Dec 2004 (Median) to 2020, with 17 observations. The data reached an all-time high of 1,030.000 Person th in 2005 and a record low of 971.944 Person th in 2020. Population: Liaoning: Dalian: Wafangdian 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.

IntroductionThe Pacific oyster (Crassostrea gigas), one of the major aquaculture shellfish worldwide, has strong environmental adaptability. However, genetic diversity and population structure of the Pacific oysters in Dalian Sea, the major natural and farming area of the species in China, has not been systematically investigated, especially at genome-wide level, limiting the conservation and management of the species. MethodsIn this study, whole-genome resequencing of 105 individuals from seven Pacific oyster populations, including five wild and one cultured populations in Dalian and one wild population in Qingdao relatively distant from others, were first performed.ResultsA total of 2,363,318 single nucleotide polymorphisms (SNPs) were identified. Based on all these SNPs, similar but relatively low genetic diversity (0.2352~0.2527) was found in the seven populations. The principal component analysis (PCA), phylogenetic and population structure analysis consistently revealed weak differentiation among the seven populations. Frequent migration events were detected among the studied populations by TreeMix, which probably led to a high genetic similarity of these populations. Rapid linkage disequilibrium (LD) decay was observed in the genome of the Pacific oyster. Investigation of genome-wide selection signatures of these populations identified many selected genes involved in the biological processes related to DNA metabolism and stability, shell formation, and environmental stress response, which may be critical for oysters to adapt to the stressful environments.DiscussionThis study laid theoretical basis for the subsequent germplasm conservation, management and genetic breeding of the indigenous Pacific oysters, and provided novel insights for the adaptive evolutionary mechanism of oysters.

Dalian is an important "transit station" for migratory birds in the East Asian-Australasian flyway,located at the throat of the habitat of migratory birds in the Yellow (Bohai) Sea, and is an important stop,foraging and breeding place for migratory birds in the long-distance migration process.Based on the idea of Land-sea integration, this study aims to promote the improvement of the ecological environment of migratory bird habitats, enhance species diversity, and strengthen population exchange, identify the habitat security pattern in the "transit station" area, and put forward restoration suggestions. By selecting important habitat patches from the MSPA model, landscape connectivity analysis, and important bird habitats in Dalian, the random movement of birds was simulated through circuit theory, and the ecological corridors and important corridor nodes of migratory birds were identified to construct a habitat security pattern. The results of the study identified the ecological reserv..., , , # Habitat security pattern of migratory birds in Dalian "transit station"

https://doi.org/10.5061/dryad.w9ghx3fz4

In this paper, DEM data were used to identify land use types, and some habitats were identified through MSPA and landscape connectivity analysis, which were supplemented with protected area data.

The resistance surface was constructed using DEM, land use type, NDVI, river network, road network, coastline data, and population density data.

Ecological corridors and nodes are identified through circuit theory, and the ecological security pattern is constructed.

Description of the data and file structure

1.DEM:ASTGTM2_N38E120_num.tif(2021);ASTGTM2_N38E121_num.tif(2021);ASTGTM2_N39E121_num.tif(2021);ASTGTM2_N39E122_num.tif(2021);ASTGTM2_N39E123_num.tif(2021);ASTGTM2_N40E121_num.tif(2021);ASTGTM2_N40E122_num.tif(2021);ASTGTM2_N40E123_num.tif(2021).1. Data source: Geospatial Data Cloud. Through ENVI and GIS processing, the elevati...

Population: District under City: Household Registration: Liaoning: Dalian data was reported at 4,212.455 Person th in 2022. This records an increase from the previous number of 4,141.747 Person th for 2021. Population: District under City: Household Registration: Liaoning: Dalian data is updated yearly, averaging 3,068.874 Person th from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 4,212.455 Person th in 2022 and a record low of 2,971.247 Person th in 2011. Population: District under City: Household Registration: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: District under City.

Population: Household Registration: Natural Change: Liaoning: Dalian data was reported at -44.000 Person th in 2023. This records a decrease from the previous number of -18.929 Person th for 2022. Population: Household Registration: Natural Change: Liaoning: Dalian data is updated yearly, averaging 1.132 Person th from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 19.939 Person th in 2014 and a record low of -44.000 Person th in 2023. Population: Household Registration: Natural Change: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian 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 Change.

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.

Population: Rural: Liaoning: Dalian: Zhuanghe data was reported at 709.000 Person th in 2012. This records an increase from the previous number of 660.000 Person th for 2011. Population: Rural: Liaoning: Dalian: Zhuanghe data is updated yearly, averaging 735.000 Person th from Dec 2004 (Median) to 2012, with 9 observations. The data reached an all-time high of 763.000 Person th in 2007 and a record low of 660.000 Person th in 2011. Population: Rural: Liaoning: Dalian: Zhuanghe 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.

Population: Household Registration: Death Rate: Liaoning: Dalian data was reported at 11.990 ‰ in 2023. This records an increase from the previous number of 8.270 ‰ for 2022. Population: Household Registration: Death Rate: Liaoning: Dalian data is updated yearly, averaging 7.800 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 11.990 ‰ in 2023 and a record low of 4.500 ‰ in 2002. Population: Household Registration: Death Rate: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian 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.

Population: Rural: Liaoning: Dalian: Changhai data was reported at 42.000 Person th in 2012. This records a decrease from the previous number of 60.000 Person th for 2011. Population: Rural: Liaoning: Dalian: Changhai data is updated yearly, averaging 75.000 Person th from Dec 2004 (Median) to 2012, with 9 observations. The data reached an all-time high of 83.000 Person th in 2006 and a record low of 42.000 Person th in 2012. Population: Rural: Liaoning: Dalian: Changhai 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.

Population: Household Registration: Female: Liaoning: Dalian data was reported at 3,095.838 Person th in 2022. This records an increase from the previous number of 3,062.690 Person th for 2021. Population: Household Registration: Female: Liaoning: Dalian data is updated yearly, averaging 2,996.534 Person th from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 3,095.838 Person th in 2022 and a record low of 2,922.074 Person th in 2010. Population: Household Registration: Female: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian 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.

. China Population: Household Registration: Rural: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian 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 Residence.