I. The data in this chapter show the conditions of China's people's livelihood, including employment, income and expenditure
of the residents, housing , possession of durable consumer goods, culture, education, health care and household facilities.

II. The data on the livelihood of the urban residents in this chapter come from the data collected by the sample survey on
the urban households. The main content of the survey includes the population in the household and its composition, the cash
income and expenditure of the household, the quantity of major commodities purchased and the expenditure for them, the
employment of the household members, the housing condition and the ownership of the durable consumer goods.

The survey on the urban households is organized by the Urban Socio-economic Survey Organization, NBS. The urban socio-
economic survey organizations of the provinces, autonomous regions and municipalities directly under the central government
as well as the urban socio-economic survey organizations of the selected cities and counties collect the data in accordance
with the survey scheme stipulated by NBS and report them to the higher organization.

The survey on the urban households is conducted in such a way that the selected households by sampling method should
keep accounts for successive three years and be interviewed by the enumerators. By a rotation sampling scheme, one third of
the old sample households should be replaced by the new sample households every year. The respondent households are
selected by the two-stage stratified systematic random sampling scheme.

At the first stage, the cities and counties are firstly classified into 5 categories by their population size, namely the particularly
large cities, large cities, medium-sized cities, small cities and counties. Secondly, they are grouped into the 6 administrative
regions (northeastern region, north region, eastern region, central region, northwestern region and southwestern region). In
each administrative region, the cities and counties are arranged in the order of the average wages of their staff and workers
in the urban areas. Thirdly, the number of the staff and workers of the cities are accumulated and the sample cities or
counties are selected by a systematic sampling scheme; the sampling interval is one million staff and workers.

At the second stage, the sample households are selected by the multi-stage and two-phase sampling scheme. In the
particularly large and large cities, the first phase sample is selected by three-stage sampling method: Firstly, the sample
sub-districts are selected; Secondly, the sample residents committees are selected from the sample sub-districts; Thirdly, the
sample households are selected from the sample residents committees. In the medium-sized and small cities and counties,
the first phase sample is selected by two-stage sampling method: Firstly, the sample residents committees are directly
selected; Secondly, the sample households are selected from the sample residents committees. The second phase sample is
composed of the sample households which are surveyed in a regular way and these households are selected with stratified
sampling method from the households in the first phase sample.

In total, 25,000 households in 226 cities and countries are selected by the National Bureau of Statistics in  the above-
mentioned way. Additional samples are selected by local statistical offices by the same sample design, making the total
sample size to reach 40,000 households.

III. The data on the livelihood of the rural residents come mainly from the data collected by the sample survey on the rural
households, which is organized by the Rural Socio-economic Survey Organization, NBS. The main content of the survey
includes the basic condition of the rural households, the per capita total income and net income, the expenditure for the
residential consumption, the consumption of major consumer goods and the quantity of durable consumer goods owned.

The sample survey on the rural households is conducted by first selecting sample villages and then selecting households in
the selected villages in each province, will all rural households in the province as the population. A combination of multi-
stage, stratified, systematic sampling approaches is used to identify a total of 67,000 households selected from 7,100
villages throughout the whole country.

It is required that the sampling error should not exceed to +0.3%, with confidence of probability as 95%. In order to ensure
the accuracy of the data of the survey on the rural households, two accounts are designed for the respondent households by
the Rural Socio-economic Survey Organization, NBS, the cash account and the account on goods in kind. Nearly 10 thousand
assistant enumerators have been invited to help the households to keep good accounts and check and tabulate the data of
the survey.

In order to overcome the boring feeling of the respondent households and solve the problem of aging samples to make the
sample more representative of the population and able to reflect the rural social and economic situation more accurately and
timely, a rotation sampling scheme is implemented by the Rural Socio-economic Survey Organization, NBS in selecting the
rural sample households, with the cycle of complete rotation being 5 years.