Based on the population census data,this paper analyzed the influencing factors and urbanization effects of the floating population in Anhui Province using ArcGIS spatial analysis,factor analysis,multiple liner regres...Based on the population census data,this paper analyzed the influencing factors and urbanization effects of the floating population in Anhui Province using ArcGIS spatial analysis,factor analysis,multiple liner regression,and spatial autocorrelation,and reached the following conclusions:① From 2000 to 2010,the floating population in Anhui Province was concentrated in cities dotted the Huai River and the Yangtze River,and Hefei City absorbed the most inter-provincial floating population and intra-provincial floating population.② The overall economic strength had the greatest impact on attracting floating population,while the income level factor has less impact on attracting floating population.The overall economic strength and the strength of science,education,culture,and health of prefecture-level cities in Anhui Province were more attractive to the intra-provincial floating population and less attractive to the inter-provincial floating population.③ Population mobility promoted urbanization.Large cities could attract more migrants from counties.The urban population system in Anhui Province was generally developing towards the concentration of large cities,while the proportion of the county population in the total population was decreased.展开更多
This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017.The survey was part of the Chinese Migrants Dynamic Survey,which is an annually conduct...This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017.The survey was part of the Chinese Migrants Dynamic Survey,which is an annually conducted large-scale national questionnaire survey on internal migrants.The respondents in the described dataset were migrants and registered local residents aged over 15 years old.A multistage stratified probability-proportionalto-size(PPS) sampling method based on the 2016 annual report data of China Migrant Population was adopted.The questionnaire was designed to collect demographic information of respondents and their family members,intention of migration or settlement,health status,health services accessibility,social integration,and epidemic influencing factors of common diseases,including hypertension,type 2 diabetes,diarrhea,fever,rash,icterus,conjunctival redness,cold,and other illnesses or injuries.The sample population in this survey include 13,998 internal migrants and 14,000 registered local residents from eight domestic cities/prefecture/districts across China.It is the most widely covering and highly representative dataset on common diseases and influencing factors of internal migrants in China.The dataset can be used to study common diseases and influencing factors among floating Chinese population.It provides data support for government to improve healthcare accessibility and the equity of public health services for internal migrants in China.展开更多
文摘Based on the population census data,this paper analyzed the influencing factors and urbanization effects of the floating population in Anhui Province using ArcGIS spatial analysis,factor analysis,multiple liner regression,and spatial autocorrelation,and reached the following conclusions:① From 2000 to 2010,the floating population in Anhui Province was concentrated in cities dotted the Huai River and the Yangtze River,and Hefei City absorbed the most inter-provincial floating population and intra-provincial floating population.② The overall economic strength had the greatest impact on attracting floating population,while the income level factor has less impact on attracting floating population.The overall economic strength and the strength of science,education,culture,and health of prefecture-level cities in Anhui Province were more attractive to the intra-provincial floating population and less attractive to the inter-provincial floating population.③ Population mobility promoted urbanization.Large cities could attract more migrants from counties.The urban population system in Anhui Province was generally developing towards the concentration of large cities,while the proportion of the county population in the total population was decreased.
文摘This data article describes the dataset from a national cross-sectional questionnaire survey on Chinese internal migrants in 2017.The survey was part of the Chinese Migrants Dynamic Survey,which is an annually conducted large-scale national questionnaire survey on internal migrants.The respondents in the described dataset were migrants and registered local residents aged over 15 years old.A multistage stratified probability-proportionalto-size(PPS) sampling method based on the 2016 annual report data of China Migrant Population was adopted.The questionnaire was designed to collect demographic information of respondents and their family members,intention of migration or settlement,health status,health services accessibility,social integration,and epidemic influencing factors of common diseases,including hypertension,type 2 diabetes,diarrhea,fever,rash,icterus,conjunctival redness,cold,and other illnesses or injuries.The sample population in this survey include 13,998 internal migrants and 14,000 registered local residents from eight domestic cities/prefecture/districts across China.It is the most widely covering and highly representative dataset on common diseases and influencing factors of internal migrants in China.The dataset can be used to study common diseases and influencing factors among floating Chinese population.It provides data support for government to improve healthcare accessibility and the equity of public health services for internal migrants in China.
