In 2022, the total permanent resident population of Liaoning province in China amounted to around ***** million inhabitants. Liaoning province is located in Northeast China.

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: Birth Rate: Liaoning data was reported at 0.406 % in 2023. This records a decrease from the previous number of 0.408 % for 2022. Population: Birth Rate: Liaoning data is updated yearly, averaging 0.664 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1.630 % in 1990 and a record low of 0.406 % in 2023. Population: Birth Rate: Liaoning 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.GA: Population: Birth Rate: By Region.

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

In 2023, the natural growth rate of the population across China varied between 7.96 people per 1,000 inhabitants (per mille) in Tibet and -6.92 per mille in Heilongjiang province. The national total population growth rate turned negative in 2022 and ranged at -1.48 per mille in 2023. Regional disparities in population growth The natural growth rate is the difference between the birth rate and the death rate of a certain region. In China, natural population growth reached the highest values in the western regions of the country. These areas have a younger population and higher fertility rates. Although the natural growth rate does not include the direct effects of migration, migrants are often young people in their reproductive years, and their movement may therefore indirectly affect the birth rates of their home and host region. This is one of the reasons why Guangdong province, which received a lot of immigrants over the last decades, has a comparatively high population growth rate. At the same time, Jilin, Liaoning, and Heilongjiang province, all located in northeast China, suffer not only from low fertility, but also from emigration of young people searching for better jobs elsewhere. The impact of uneven population growth The current distribution of natural population growth rates across China is most likely to remain in the near future, while overall population decline is expected to accelerate. Regions with less favorable economic opportunities will lose their inhabitants faster. The western regions with their high fertility rates, however, have only small total populations, which limits their effect on China’s overall population size.

a. Data content (data file/table name, including observation index content)

The 1:250000 population spatial dataset of Liaoning Province (2000) reflects the population distribution of various counties and cities in Liaoning Province in 2000, including three indicators: agricultural population, year-end total population, and rural population.

b. Construction purpose

Mainly providing data support for the research on the current situation, characteristics, and evolution patterns of population spatial distribution in Liaoning Province.

c. Service object

Students and researchers engaged in research related to population geography.

d. Time range of data

2000

e. The spatial range of data

Liaoning Province

a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province Population and Socioeconomic Dataset (2000-2009) Main Content: This dataset mainly includes Liaoning Province's socio-economic, population and labor, agricultural production, finance, tourism, health, education, social security and other data resources. The data type is attribute data, containing 181 Excel tables:

b. Construction purpose

Used for agricultural production and socio-economic research.

c. Service object

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

Data collection period from 2000 to 2009

e. The spatial range and projection method of data

Liaoning Province

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.

In this study, we used typical and advanced population genetic analysis methods [principal component analysis (PCA), ADMIXTURE, FST, f3-statistics, f4-statistics, qpAdm/qpWave, qpGraph, ALDER (Admixture-induced Linkage Disequilibrium for Evolutionary Relationships) and TreeMix] to explore the genetic structure of 80 Han individuals from four different cities in Liaoning Province and reconstruct their demographic history based on the newly generated genome-wide data. We found that Liaoning Han people have genetic similarities with other northern Han people (Shandong, Henan, and Shanxi) and Liaoning Manchu people. Millet farmers in the Yellow River Basin (YRB) and the West Liao River Basin (WLRB) (57–98%) and hunter-gatherers in the Mongolian Plateau (MP) and the Amur River Basin (ARB) (40–43%) are the main ancestral sources of the Liaoning Han people. Our study further supports the “northern origin hypothesis”; YRB-related ancestry accounts for 83–98% of the genetic makeup of the Liaoning Han population. There are clear genetic influences of northern East Asian populations in the Liaoning Han people, ancient Northeast Asian-related ancestry is another dominant ancestral component, and large-scale population admixture has happened between Tungusic Manchu people and Han people. There are genetic differences among the Liaoning Han people, and we found that these differences are associated with different migration routes of Hans during the “Chuang Guandong” period in historical records.

In this study, we used typical and advanced population genetic analysis methods [principal component analysis (PCA), ADMIXTURE, FST, f3-statistics, f4-statistics, qpAdm/qpWave, qpGraph, ALDER (Admixture-induced Linkage Disequilibrium for Evolutionary Relationships) and TreeMix] to explore the genetic structure of 80 Han individuals from four different cities in Liaoning Province and reconstruct their demographic history based on the newly generated genome-wide data. We found that Liaoning Han people have genetic similarities with other northern Han people (Shandong, Henan, and Shanxi) and Liaoning Manchu people. Millet farmers in the Yellow River Basin (YRB) and the West Liao River Basin (WLRB) (57–98%) and hunter-gatherers in the Mongolian Plateau (MP) and the Amur River Basin (ARB) (40–43%) are the main ancestral sources of the Liaoning Han people. Our study further supports the “northern origin hypothesis”; YRB-related ancestry accounts for 83–98% of the genetic makeup of the Liaoning Han population. There are clear genetic influences of northern East Asian populations in the Liaoning Han people, ancient Northeast Asian-related ancestry is another dominant ancestral component, and large-scale population admixture has happened between Tungusic Manchu people and Han people. There are genetic differences among the Liaoning Han people, and we found that these differences are associated with different migration routes of Hans during the “Chuang Guandong” period in historical records.

This point shapefile represents the district locations, with 2000 population census data, for the Liaoning 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.

Abstract (en): The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities. Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of region and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Smallest Geographic Unit: Chinese banners (8) The data are from 725 surviving triennial registers from 29 distinct populations. Each of the 29 register series corresponded to a specific rural population concentrated in a small number of neighboring villages. These populations were affiliated with the Eight Banner civil and military administration that the Qing state used to govern northeast China as well as some other parts of the country. 16 of the 29 populations are regular bannermen. In these populations adult males had generous allocations of land from the state, and in return paid an annual fixed tax to the Imperial Household Agency, and provided to the Imperial Household Agency such home products as homespun fabric and preserved meat, and/or such forest products as mushrooms. In addition, as regular bannermen they were liable for military service as artisans and soldiers which, while in theory an obligation, was actually an important source of personal revenue and therefore a political privilege. 8 of the 29 populations are special duty banner populations. As in the regular banner population, the adult males in the special duty banner populations also enjoyed state allocated land free of rent. These adult males were also assigned to provide special services, including collecting honey, raising bees, fishing, picking cotton, and tanning and dyeing. The remaining populations were a diverse mixture of estate banner and servile populations. The populations covered by the registers, like much of the population of rural Liaoning in the eighteenth and nineteenth centuries, were mostly descendants of Han Chinese settlers who came from Shandong and other nearby provinces in the late seventeenth and early eighteenth centuries in response to an effort by the Chinese state to repopulate the region. 2016-09-06 2016-09-06 The Training Guide has been updated to version 3.60. Additionally, the Principal Investigator affiliation has been corrected, and cover sheets for all PDF documents have been revised.2014-07-10 Releasing new study level documentation that contains the tables found in the appendix of the Analytic dataset codebook.2014-06-10 The data and documentation have been updated following re-evaluation.2014-01-29 Fixing variable format issues. Some variables that were supposed to be s...

Population: Natural Growth Rate: Liaoning data was reported at -0.563 % in 2023. This records a decrease from the previous number of -0.496 % for 2022. Population: Natural Growth Rate: Liaoning data is updated yearly, averaging 0.011 % from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 0.400 % in 2000 and a record low of -0.563 % in 2023. Population: Natural Growth Rate: Liaoning 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.GA: Population: Natural Growth Rate: By Region.

Life Expectancy: Male: Liaoning data was reported at 75.960 Year Old in 12-01-2020. This records an increase from the previous number of 74.120 Year Old for 12-01-2010. Life Expectancy: Male: Liaoning data is updated decadal, averaging 72.815 Year Old from Dec 1990 (Median) to 12-01-2020, with 4 observations. The data reached an all-time high of 75.960 Year Old in 12-01-2020 and a record low of 68.720 Year Old in 12-01-1990. Life Expectancy: Male: Liaoning 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.GA: Population: Life Expectancy: By Region.

Population: Census: Liaoning: Shenyang data was reported at 9,070.093 Person th in 12-01-2020. This records an increase from the previous number of 8,106.171 Person th for 12-01-2010. Population: Census: Liaoning: Shenyang data is updated decadal, averaging 8,106.171 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 9,070.093 Person th in 12-01-2020 and a record low of 7,203.717 Person th in 12-01-2000. Population: Census: Liaoning: Shenyang data remains active status in CEIC and is reported by Shenyang Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

Abstract

China Living Standards Survey (CLSS) consists of one household survey and one community (village) survey, conducted in Hebei and Liaoning Provinces (northern and northeast China) in July 1995 and July 1997 respectively. Five villages from each three sample counties of each province were selected (six were selected in Liaoyang County of Liaoning Province because of administrative area change). About 880 farm households were selected from total thirty-one sample villages for the household survey. The same thirty-one villages formed the samples of community survey. This document provides information on the content of different questionnaires, the survey design and implementation, data processing activities, and the different available data sets.

Geographic coverage

The China Living Standards Survey (CLSS) was conducted only in Hebei and Liaoning Provinces (northern and northeast China).

Kind of data

Sample survey data [ssd]

Sampling procedure

The CLSS sample is not a rigorous random sample drawn from a well-defined population. Instead it is only a rough approximation of the rural population in Hebei and Liaoning provinces in Northeastern China. The reason for this is that part of the motivation for the survey was to compare the current conditions with conditions that existed in Hebei and Liaoning in the 1930’s. Because of this, three counties in Hebei and three counties in Liaoning were selected as "primary sampling units" because data had been collected from those six counties by the Japanese occupation government in the 1930’s. Within each of these six counties (xian) five villages (cun) were selected, for an overall total of 30 villages (in fact, an administrative change in one village led to 31 villages being selected). In each county a "main village" was selected that was in fact a village that had been surveyed in the 1930s. Because of the interest in these villages 50 households were selected from each of these six villages (one for each of the six counties). In addition, four other villages were selected in each county. These other villages were not drawn randomly but were selected so as to "represent" variation within the county. Within each of these villages 20 households were selected for interviews. Thus the intended sample size was 780 households, 130 from each county.

Unlike county and village selection, the selection of households within each village was done according to standard sample selection procedures. In each village, a list of all households in the village was obtained from village leaders. An "interval" was calculated as the number of the households in the village divided by the number of households desired for the sample (50 for main villages and 20 for other villages). For the list of households, a random number was drawn between 1 and the interval number. This was used as a starting point. The interval was then added to this number to get a second number, then the interval was added to this second number to get a third number, and so on. The set of numbers produced were the numbers used to select the households, in terms of their order on the list.

In fact, the number of households in the sample is 785, as opposed to 780. Most of this difference is due to a village in which 24 households were interviewed, as opposed to the goal of 20 households

Mode of data collection

Face-to-face [f2f]

Research instrument

Household Questionnaire

The household questionnaire contains sections that collect data on household demographic structure, education, housing conditions, land, agricultural management, household non-agricultural business, household expenditures, gifts, remittances and other income sources, and saving and loans. For some sections (general household information, schooling, housing, gift-exchange, remittance, other income, and credit and savings) the individual designated by the household members as the household head provided responses. For some other sections (farm land, agricultural management, family-run non-farm business, and household consumption expenditure) a member identified as the most knowledgeable provided responses. Identification codes for respondents of different sections indicate who provided the information. In sections where the information collected pertains to individuals (employment), whenever possible, each member of the household was asked to respond for himself or herself, except that parents were allowed to respond for younger children. Therefore, in the case of the employment section it is possible that the information was not provided by the relevant person; variables in this section indicate when this is true.

The household questionnaire was completed in a one-time interview in the summer of 1995. The survey was designed so that more sensitive issues such as credit and savings were discussed near the end. The content of each section is briefly described below.

Section 0 SURVEY INFORMATION

This section mainly summarizes the results of the survey visits. The following information was entered into the computer: whether the survey and the data entry were completed, codes of supervisor’s brief comments on interviewer, data entry operator, and related revising suggestion (e.g., 1. good, 2. revise at office, and 3. re-interview needed). Information about the date of interview, the names of interviewer, supervisor, data enterer, and detail notes of interviewer and supervisor were not entered into the computer.

Section 1 GENERAL HOUSEHOLD INFORMATION

1A HOUSEHOLD STRUCTURE 1B INFORMATION ABOUT THE HOUSEHOLD MEMBERS’ PARENTS 1C INFORMATION ABOUT THE CHILDREN WHO ARE NOT LIVING IN HOME

Section 1A lists the personal id code, sex, relationship to the household head, ethnic group, type of resident permit (agricultural [nongye], non-agricultural [fei nongye], or no resident permit), date of birth, marital status of all people who spent the previous night in that household and for household members who are temporarily away from home. The household head is listed first and receives the personal id code 1. Household members were defined to include “all the people who normally live and eat their meals together in this dwelling.” Those who were absent more than nine of the last twelve months were excluded, except for the head of household. For individuals who are married and whose spouse resides in the household, the personal id number of the spouse is noted. By doing so, information on the spouse can be collected by appropriately merging information from the section 1A and other parts of the survey.

Section 1B collects information on the parents of all household members. For individuals whose parents reside in the household, parents’ personal id numbers are noted, and information can be obtained by appropriately merging information from other parts of the survey. For individuals whose parents do not reside in the household, information is recorded on whether each parent is alive, as well as their schooling and occupation.

Section 1C collects information for children of household members who are not living in home. Children who have died are not included. The information on the name, sex, types of resident permit, age, education level, education cost, reasons not living in home, current living place, and type of job of each such child is recorded.

Section 2 SCHOOLING

In Section 2, information about literacy and numeracy, school attendance, completion, and current enrollment for all household members of preschool age and older. The interpretation of pre-school age appears to have varied, with the result that while education information is available for some children of pre-school age, not all pre-school children were included in this section. But for ages 6 and above information is available for nearly all individuals, so in essence the data on schooling can be said to apply all persons 6 age and above. For those who were enrolled in school at the time of the survey, information was also collected on school attendance, expenses, and scholarships. If applicable, information on serving as an apprentice, technical or professional training was also collected.

Section 3 EMPLOYMENT

3A GENERAL INFORMATION 3B MAJOR NON-FARM JOB IN 1994 3C THE SECOND NON-FARM JOB IN 1994 3D OTHER EMPLOYMENT ACTIVITIES IN 1994 3E SEARCHING FOR NON-FARM JOB 3F PROCESS FOR GETTING MAJOR NON-FARM JOB 3G CORVEE LABOR

All individuals age thirteen and above were asked to respond to the employment activity questions in Section 3. Section 3A collects general information on farm and non-farm employment, such as whether or not the household member worked on household own farm in 1994, when was the last year the member worked on own farm if he/she did not work in 1994, work days and hours during busy season, occupation and sector codes of the major, second, and third non-farm jobs, work days and total income of these non-farm jobs. There is a variable which indicates whether or not the individual responded for himself or herself.

Sections 3B and 3C collect detailed information on the major and the second non-farm job. Information includes number of months worked and which month in 1994 the member worked on these jobs, average works days (or hours) per month (per day), total number of years worked for these jobs by the end of 1994, different components of income, type of employment contracts. Information on employer’s ownership type and location was also collected.

Section 3D collects information on average hours spent doing chores and housework at home every day during non-busy and busy season. The chores refer to cooking, laundry, cleaning, shopping, cutting woods, as well as small-scale farm yard animals raising, for example, pigs or chickens. Large-scale animal

Population: Liaoning: Chaoyang: Jianping data was reported at 567.317 Person th in 2020. This records a decrease from the previous number of 574.932 Person th for 2019. Population: Liaoning: Chaoyang: Jianping data is updated yearly, averaging 582.300 Person th from Dec 2004 (Median) to 2020, with 17 observations. The data reached an all-time high of 590.000 Person th in 2011 and a record low of 567.317 Person th in 2020. Population: Liaoning: Chaoyang: Jianping 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.

Additional file 3: Supplementary Table S3. Allele range and frequencies of 26 Y STRs in 282 Hui population from Liaoning PR China along with forensic parameters.

Population: Average Household Size: Liaoning data was reported at 2.380 Person in 2022. This records an increase from the previous number of 2.370 Person for 2021. Population: Average Household Size: Liaoning data is updated yearly, averaging 2.885 Person from Dec 1982 (Median) to 2022, with 30 observations. The data reached an all-time high of 4.090 Person in 1982 and a record low of 2.285 Person in 2020. Population: Average Household Size: Liaoning 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.GA: Population: No of Person per Household.

Population: Household Registration: Number of Birth: Liaoning: Shenyang data was reported at 40.000 Person th in 2023. This records an increase from the previous number of 38.584 Person th for 2022. Population: Household Registration: Number of Birth: Liaoning: Shenyang data is updated yearly, averaging 53.292 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 71.926 Person th in 2014 and a record low of 36.731 Person th in 2003. Population: Household Registration: Number of Birth: Liaoning: Shenyang data remains active status in CEIC and is reported by Shenyang 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.