Rural population (% of total population) in China was reported at 34.46 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

China: Internet users, percent of population: The latest value from 2023 is 77.48 percent, an increase from 75.61 percent in 2022. In comparison, the world average is 87.67 percent, based on data from 59 countries. Historically, the average for China from 1990 to 2023 is 26.35 percent. The minimum value, 0 percent, was reached in 1990 while the maximum of 77.48 percent was recorded in 2023.

Population, female (% of total population) in China was reported at 49.06 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

China Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 11.600 % in 2021. This records a decrease from the previous number of 11.900 % for 2020. China Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 15.100 % from Dec 1990 (Median) to 2021, with 19 observations. The data reached an all-time high of 19.500 % in 2010 and a record low of 8.900 % in 1990. China Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

China: Percent urban population: The latest value from 2023 is 64.57 percent, an increase from 63.56 percent in 2022. In comparison, the world average is 61.36 percent, based on data from 196 countries. Historically, the average for China from 1960 to 2023 is 32.82 percent. The minimum value, 16.2 percent, was reached in 1960 while the maximum of 64.57 percent was recorded in 2023.

Population, male (% of total population) in China was reported at 50.94 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Population, male (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

China: Percent of people aged 15+ who have a credit card: The latest value from 2021 is 37.95 percent, an increase from 19.49 percent in 2017. In comparison, the world average is 22.26 percent, based on data from 121 countries. Historically, the average for China from 2011 to 2021 is 20.38 percent. The minimum value, 8.23 percent, was reached in 2011 while the maximum of 37.95 percent was recorded in 2021.

China: Percent urban population with access to drinking water: The latest value from 2022 is 97.9 percent, an increase from 97.7 percent in 2021. In comparison, the world average is 69.9 percent, based on data from 93 countries. Historically, the average for China from 2000 to 2022 is 92.3 percent. The minimum value, 89.5 percent, was reached in 2000 while the maximum of 97.9 percent was recorded in 2022.

In 2024, China reported adding ** million new users to its massive *** billion internet population. The first half-year data in 2024 revealed that nearly *****of the new internet users were between 10 and 18 years old, while a ***** were older adults aged above 50 years. The largest online community In 2023, China accounted for about ********* of the *** billion internet users worldwide. However, compared to its total population, China’s internet penetration rate is lower than in other Asian countries. Penetration rates in both South Korea and Japan were significantly higher. The market potential Internet usage in China is further characterized by a large regional discrepancy. In rural regions, the internet access rate is much lower than the national level. On the other side, the Chinese market is a mobile-first nation. Since 2014, more Chinese people have accessed the internet via mobile devices than computers. The number of mobile internet users in China increased steadily over the previous decade.

Graph and download economic data for Employment to Population Ratio for China (SLEMPTOTLSPZSCHN) from 1991 to 2024 about employment-population ratio, China, employment, and population.

China: Income from natural resources, percent of GDP: The latest value from 2021 is 1.71 percent, an increase from 0.86 percent in 2020. In comparison, the world average is 6.83 percent, based on data from 186 countries. Historically, the average for China from 1970 to 2021 is 5.67 percent. The minimum value, 0.77 percent, was reached in 1971 while the maximum of 19.74 percent was recorded in 1980.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

China

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1000

The sample is a representative national sample of China containing 40 county/city sample units to collect individual level data of, from a political cultural perspective, the values and attitudes currently held by Chinese citizens. With considerations of representativeness, feasibility, and budgetary constrains, it was decided this project would draw a subsidiary probability sample out of a master sample that RCCC created based on its previous national survey on environmental awareness of the general public in China conducted in 1998. The Environmental Awareness Survey, which was used as a master sample, was a national survey conducted through out the entire country. The target population was the same as the one defined for this survey. Through the stratification, the proportionally allocated multi-stage PPS (probability proportional to size) technique was employed in order to obtain the self-weighted household samples. There were different stages in the sampling procedure: Counties and county-level cities are taken as primary sampling units (PSUs). Family households are the basic sampling unit. Demographic data at all levels was obtained from The Demographic Data for Chinese Cities and Counties, 1997, published by the State Bureau of Statistics.

Nation wide, there were 2,860 county-level units for the first stage sampling (including 1,689 counties, 436 county-level cities, and 735 urban district--with administrative rank equivalent to county--in large cities). The total households were 337,659,447. This was the base for establishing the sampling frames. Some readjustments: Taking into account of cost and accessibility, only the provincial capitals (Lhasa and Urumchi) and their surrounding areas in Tibet and Sinkiang were included in the sampling frame; in other remote western provinces, a few areas that are extremely hard to access were left out as well. After such readjustment the sampling frame then includes 2,708 county-level units, of which the total households are 322,002,173. Compared to the target population, there was a 5.3% reduction (152 units) in the first stage sampling units. However, since the population density in the remote areas of the western provinces is very low, the reduction counts merely 1.4% of the total households in the sampling frame. Geographical administrative divisions of China were regarded as the primary labels of stratification, that is, each province was treated as an independent stratum. Allocation of target sampling units among the sampling stages was designed as following: 135 PSUs out of the first sampling (county-level) units; 2 secondary sampling (townshiplevel) units in each of the PSUs; then 2 third sampling (village-level) units in each of the SSUs; 25 households in each of the third sampling units, on average. Based on the proportional stratification principle, sample allocation to strata was proportional to the size of each stratum, by an equal probability of f = .0042%. Within each stratum (province), sample sizes were calculated and allocated proportionally to each of the sampling stages. A self-weighted national sample thus was obtained.

Multi-stage PPS: -The first stage: equidistance PPS was employed to draw the county sample. -The second stage: in each of the chosen county-level units, a sampling frame was created based on the data of townships/ward and size measurement; then the equidistance PPS is employed to choose the township/streets sample. -The third stage: a third sampling frame was obtained from each of the chosen township-level units (neighbourhoods, villages and size measurement), and, again, the equidistance PPS is employed to choose the village/neighbourhood sample. -The fourth stage: in each of the chosen village/neighbourhood units, the official list of households registration was obtained; using the size measurement of this unit and the desired number of households to count the sampling distance, then households were selected according to the sampling interval. Since the household registration also listed all family members of each of the household, respondents were drawn randomly immediately after the household drawing. The WVS-China sample was drawn out of the above described master sample.

Some readjustments: Primarily because of the budgetary constrains of the WVS project, six remote provinces in the master sample were excluded. They were: Hainan, Tibet, Gansu, Qinghai, Ningxia, and Sinkiang. These provinces are all with very low population density, and all together they count 5.1% of the total population and 4.6% of total households of the country. After the adjustments, seven of the 139 county-level units of the master sample were removed. Therefore, the target 40 PSUs were to be drawn out of the remaining 132 units.

Sampling Stages: -The first stage: 40 units were drawn from 132 county-level units of the master sample were removed. Therefore, the 40 PSUs were to be drawn out of the remaining 132 units. -The second stage: one unit was chosen randomly out of the 2 original township-level units (SSUs) in each of the 40 selected PSUs. -The third stage: one unit was chosen randomly out of the 2 original village-level units in each of the selected SSUs. -The fourth stage: from each of the chosen village-level units, 35 households were drawn out of the household registration list with equidistance, along with one respondent in each selected household.

Remarks about sampling: -Sample unit from office sampling: Housing

Mode of data collection

Face-to-face [f2f]

Research instrument

As a participating country-team of the World Values Survey (WVS), the Research Center of Contemporary China (RCCC) at Peking University implemented the WVS-China survey in 2001. The target population covers those who are between 18 and 65 of age (born between July 2, 1935 and July 1, 1982), formally registered and actually reside in dowelings within the households in China when the survey is conducted.

Response rate

The sample size was determined to be approximately 1,000 -- eligible individuals are to be drawn out of the above defined target population in China. Based on previous experience of response rate, it was decided to increase the target sample to 1,400 in order to reach a satisfied response rate. The final results are summarized as follows: - Target sample size: 1,400 - Sample drawn in the field: 1,385 - Completed, valid interviews: 1,000 - Response rate: 72.2% Summary of Non-Responses Types of Non-Responses (missing cases) % - Be away/not seen for several times: 145-37.7% - Be away for long time/be on a business trip/go abroad/travel:138-35.8% - The interviewer didnt write the reason: 23-6.0% - Rejection: 19-4.9% - Move/investigation reveals no this person: 15-3.9% - Impediments in body or language/at variance with qualification: 12-3.1% - Useless: 11-2.9% - Address is nor clear/cant find the address: 10-2.6% - A vacant house: 6-1.6% - Tenant: 6-1.6% - Total: 385-100%

Sampling error estimates

Estimated Error: 3,2

China Educational Attainment: Doctoral or Equivalent: Population 25+ Years: % Cumulative: Female data was reported at 0.090 % in 2020. China Educational Attainment: Doctoral or Equivalent: Population 25+ Years: % Cumulative: Female data is updated yearly, averaging 0.090 % from Dec 2020 (Median) to 2020, with 1 observations. The data reached an all-time high of 0.090 % in 2020 and a record low of 0.090 % in 2020. China Educational Attainment: Doctoral or Equivalent: Population 25+ Years: % Cumulative: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;

China: Research and development expenditure, percent of GDP: The latest value from 2021 is 2.43 percent, an increase from 2.41 percent in 2020. In comparison, the world average is 1.25 percent, based on data from 78 countries. Historically, the average for China from 1996 to 2021 is 1.53 percent. The minimum value, 0.56 percent, was reached in 1996 while the maximum of 2.43 percent was recorded in 2021.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Tibet was excluded from the sample. The excluded areas represent less than 1 percent of the total population of China.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for China is 3500.

Mode of data collection

Mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Adult literacy rate of China increased by 2.11% from 95.00 % in 2010 to 97.00 % in 2020. Since the 18.18% surge in 1990, adult literacy rate shot up by 24.36% in 2020. Adult literacy rate is the percentage of people ages 15 and above who can, with understanding, read and write a short, simple statement on their everyday life.

China: People practicing Judaism as percent of the population: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.0 percent, based on data from countries. Historically, the average for China from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .

China: Exports of goods and services as percent of GDP: The latest value from 2024 is 20.02 percent, an increase from 19.1 percent in 2023. In comparison, the world average is 44.58 percent, based on data from 134 countries. Historically, the average for China from 1960 to 2024 is 14.7 percent. The minimum value, 2.45 percent, was reached in 1970 while the maximum of 35.53 percent was recorded in 2006.

China: Foreign Direct Investment, percent of GDP: The latest value from 2024 is 0.1 percent, a decline from 0.28 percent in 2023. In comparison, the world average is 4.56 percent, based on data from 105 countries. Historically, the average for China from 1979 to 2024 is 2.39 percent. The minimum value, 0 percent, was reached in 1979 while the maximum of 6.16 percent was recorded in 1993.

China: Oil production percent of world total: The latest value from 2023 is 5.124 percent, an increase from 5.07 percent in 2022. In comparison, the world average is 0.526 percent, based on data from 190 countries. Historically, the average for China from 1973 to 2023 is 5.023 percent. The minimum value, 2.554 percent, was reached in 1973 while the maximum of 6.091 percent was recorded in 1987.