This study is part of a program of in-depth surveys on the population fertility and related factors in various provinces and municipalities of China.. The study aimed to improve understanding of the levels and trends in fertility of the Chinese population and to provide the government with reliable data useful in the formation of population policy. Data were collected in the provinces of Beijing, Liaoning, Gansu, Guangdong, Guizhou, and Shandong. For each province, data were collected on complete pregnancy and marriage history, fertility preferences and contraception, and socio-economic background.

CN: Population: Birth Rate: Jiangsu data was reported at 0.500 % in 2024. This records an increase from the previous number of 0.481 % for 2023. CN: Population: Birth Rate: Jiangsu data is updated yearly, averaging 0.934 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 2.054 % in 1990 and a record low of 0.481 % in 2023. CN: Population: Birth Rate: Jiangsu 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.

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Taiwan 1km Pregnancies. Version 1.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00632

The outbreak of the COVID-19 in early 2020 and the recurring epidemic in later years have disturbed China’s economy. Moreover, China’s demographic dividend has been disappearing due to its fastest aging population and declining birth rate. The birth rates in eastern provinces of China are much lower than those of the western provinces. Considering the impacts of the COVID-19 and aging population, this paper focused on the relationship between birth rate and the disposable income and tried to find effective measures to raise China’s birth rate. We discovered through regression analysis that the link between per capita disposable income and birth rate is initially "reverse J" and later "inverted J", indicating that per capita disposable income will influence the birth rate. Women’s employment rate and educational level are negatively correlated with the birth rate. To raise the fertility rate in China, it is necessary to increase the marriage rate and the willingness to have children by raising the per capita disposable income and introducing effective tax relief policies.

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Taiwan 1km Births. Version 1.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00581

CN: Population: Birth Rate: Guizhou data was reported at 1.074 % in 2024. This records an increase from the previous number of 1.065 % for 2023. CN: Population: Birth Rate: Guizhou data is updated yearly, averaging 1.397 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 2.309 % in 1990 and a record low of 1.065 % in 2023. CN: Population: Birth Rate: Guizhou 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.

The data involve about 1400 peasant family heads in Shenqiu County, Henan province, China. The data were collected in 2016.

Notes from product: II. Notes on China 2000 and 2010 Population Census Data In order to guide you to use the data correctly, provide you some explanations as follows: (l) Census time: 0:00AM of November 1, 2000 and 2010 as the reference time for the census. (2) The 2000 and 2010 population census covered all persons who hold the nationality of, and have permanent residing place in the People's Republic of China. During the census, each person was enumerated in his/her permanent residing place. The following persons should be enumerated in their permanent residing place: a) Those who reside in the townships, towns and street communities and have their permanent household registration there. b) Those who have resided in the townships, towns and street communities for more than 6 months but the places of their permanent household registration are elsewhere. c) Those who have resided in the townships, towns and street communities for less than 6 months but have been away from the place of their permanent household registration for more than 6 months. d) Those who live in the townships, towns and street communities during the population census while the places of their household registration have not yet settled. e) Those who used to live in the townships, towns and street communities but are working or studying abroad during the census and have no Permanent household registration for the time being. (3) Two types of questionnaires (long form and short form) were used for the 2000 and 2010 population census. The short form contains items that reflect the basic situation of the population, while the long form include all short form items plus other items such as migration, education, economic activities, marriage and family, fertility , housing , etc. . According to the National Bureau of Statistics of China, the households for the Long Form survey were selected by a random sampling program. The data included in this product are from 100% Short Form survey.(4) Results in this publication are based on the processing of data directly from enumeration without any adjustment. It is therefore worthwhile to notice the following: a. Data in the publication do not include population not enumerated in the Census. b. Data in the publication do not include the servicemen of the People's Liberation Army. c. The post-enumeration sample survey indicates an undercount of 1.81% in 2000 Census and 0.12% in 2010 Census. III. Notes on the China Province GIS Maps for the 2000 and 2010 Population Census Data (1) The China Province GIS map were developed for the 2000 and 2010 population Census data, which covered all 31 municipalities, provinces and autonomous regions of China, except for Taiwan, Hong Kong and Macao. (2) The population data came from the 5th and 6th China Population Census surveyed in 2000 and 2010. The GIS data is based on the national digital map (1:1 million) developed by the National Geographic Information Center of China (NGCC), including rives, roads, residential area and administrative boundaries.(3) The China province GIS maps are developed for matching 2000 and 2010 China population Census data, which should only be used as references for research or education instead of used as official maps. The distributor is not responsible for the accuracy of the those maps if the maps are used for business or other purposes.

The infant mortality dataset was retrieved from China’s In-depth Fertility Sample Surveys (henceforth referred to as “fertility surveys”) of 1985 and 1987, which were conducted by the China Population Information and Research Center of the National Bureau of Statistics. In April of 1985, the first phase of the survey was implemented in Shanghai municipality and Hebei and Shaanxi provinces. The second fertility survey, following the same framework, was conducted in April of 1987 in Beijing municipality and Liaoning, Shandong, Guangdong, Guizhou, and Gansu provinces. In the last stage of random sampling, the equal probability (self-weighting) method was used to select households, from which all qualified women were interviewed by survey enumerators.

This dataset collects and organizes published literature data on soil fertility, soil microorganisms and soil animals in the Qinghai-Tibet Plateau region. Through Chinese and English literature searches for soil fertility, soil microbes and soil animal historical survey data on the Qinghai-Tibet Plateau, a total of soils were collected in Nyingchi, Shigatse, Shannan, Qinghai, Haidong, Qinghai, and Haibei, Qinghai. 29 pieces of data related to nutrient status; 21 pieces of data related to soil microorganisms in Lhasa, Nyingchi, and Haibei Prefecture in Qinghai Province; 9 pieces of data about soil animals in Nyingchi, Hexi Corridor, Gansu Province, and Haibei Prefecture in Qinghai Province; There are few literatures on soil fertility, soil microorganisms and soil animals in the plateau area, and the research is insufficient, and there are still many blanks.