Page 421 - Invited Paper Session (IPS) - Volume 2

IPS302 Maia Guntsadze
2 for Q1, 2 for Q2, 1 for Q3 and 4 for Q4. Each questionnaire had unique ID
number which was linking them to each other.
Since the population and agricultural censuses were conducted together, it
was agreed to use the same reporting unit, thus a household was considered
as one agricultural holding. In case of two or more holders in the household
one of them was selected as a holder and their operated lands and livestock
were summed up and assigned to the holder. In case of one or more
households in a holding, each household was considered as a separate
holding and land and livestock were assigned proportionally according to the
share of households in the holding.
Q1 contained questions on dwelling conditions, as well as the full list of
households and persons living in the dwelling with status of the persons -
usual resident, temporary absent, temporary present, emigrant. According to
the status of the person, appropriate questionnaire was filled (Q2 or Q3). There
were main identification questions in the Q1 for agricultural holdings.
According to them, if household was identified as a holding, Q4 was filled by
the enumerators. Besides, Q1 was identifying the holder. Additionally, Q1
contained identification question on holdings operating aquaculture. Q4
covered all core indicators recommended by the Food and Agriculture
Organization and local user's needs were taking into account. Questionnaire
on Agriculture (Q4) did not contain any question about the holder rather than
holder's unique number indicated in Q1 and Q2, since all relevant information
was covered by Q1 and Q2.
For the Agricultural Census for Legal Entities an electronic questionnaire
was prepared, which was also used for the census of municipalities (common
land data). The content of the electronic questionnaire was the same as of Q4.
In addition to the questions similar to Q4, there were additional questions
regarding personal characteristics of the company director/holder.

3. Results
As a result census database contains information on dwelling conditions,
personal information of the population, personal information of emigrants,
agricultural data on holdings, personal information of holders, data on
households operating aquaculture and greenhouses and geographic data. The
database is a comprehensive source for analysts and researchers to
crossanalyze social-economic and agricultural data.
Coding system included in the census database easily links all obtained
data and creates Master Sample Frame for Agriculture. Georgian MSF covers
various variables regarding Family holdings, Agricultural enterprises,
Households, Emigrants, Housing conditions, Aquaculture holdings,
Greenhouse holdings, municipal (common) land, etc.

408 | I S I W S C 2 0 1 9