Survey of Agricultural Holdings 2020
Georgia, 2020 - 2021
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Georgia | GEO |
The survey completely covers the territory of Georgia, excluding the occupied territories of Autonomous Republic of Abkhazia and Tskhinvali region. Each year a new sample is selected based on a rotational design (on a 3-year basis). In particular, every year approximately 4 000 holdings out of the 12 000 sampled holdings are replaced by new holdings. Sampled holdings participate in the survey for 3 years. Large agricultural holdings are sampled every year with complete coverage. The statistical unit of the survey is the agricultural holding (family holdings and agricultural enterprises) – which is defined as an economic unit of agricultural production under single management comprising all livestock kept and all land used wholly or partly for agricultural production purposes, without regard to title, legal form or size. Agricultural activities are conducted under the supervision of a holder (in case of households - a member of household, in case of agricultural enterprises - director or authorized person), who is responsible for making decisions and takes all economic risks and expenses related to agricultural activities. More than 270 interviewers participate in the survey fieldwork. For the Data collection, computer-assisted personal interviewing method (CAPI) is used in the family holdings. In case of agricultural enterprises, the authorized persons of the enterprises (respondent) fill the electronic (online) questionnaires by themselves (CAWI). Coordination of the interviewers and the primary control of the collected data during the field is carried out by coordinators. Their working area covers several municipalities. The function of the coordinators also includes consultation for agricultural enterprises on methodological and technical issues related to the survey
Scope
Statistical information on sheep and goats, as well as the production of melons, and watermelons is collected separately based on the special questionnaire. The source of these statistics is the administrative units of the Municipalities of Georgia. Information on tea leaf production is obtained from the legal entities specialized in crude tea leaf processing.
Temporary crop – a crop with complete growing cycle less than one year. Sown perennial grasses (alfalfa, trefoil, sainfoin, etc.) also belong to this category.
Permanent crop – a crop with complete growing cycle more than one year.
Sown area – area of arable land where temporary crops were sown during a reference year.
Harvested area – the part of the sown area which has been harvested during the reference year (the difference between the sown area and the lost area)
Production of annual and permanent crops - production obtained from arable land, as well as permanent crops during the reference year.
Average yield – crop production per hectare. Calculated as the ratio of the harvest and the harvested area.
Number of livestock – number of heads of livestock of all kinds and age groups as of a definite moment of time.
Livestock productivity – average volume of appropriate products, obtained from one dairy cow and buffalo, one laying chicken, one goat and sheep during a year.
Milk production – total milk obtained from dairy cows, dairy buffaloes, sheep and goats.
Milk consumed by sucking calves, kids and lambs is excluded from the total milk production.
Meat production – the total weight of the meat obtained as a result of slaughter of both domestically raised and imported livestock.
Average yield of dairy cows – annual milk production divided by the average number of dairy cows during the year.
Average clip per sheep – annual total wool production during the reference year divided by the number of shaved sheep during the year.
Average litter – number of born animal during the reference year divided by the average number of female animals during the year
General topics of the Survey of Agricultural holdings are available in following link: https://www.geostat.ge/en/modules/categories/196/agriculture
Coverage
National, excluding occupied regions (Abkhazia and Tskhinvali region)
Producers and sponsors
| Name |
|---|
| National Statistics Office of Georgia (GEOSTAT) |
| Name | Role |
|---|---|
| Food and Agriculture Organization of the United Nations |
Technical Support |
| Name | Abbreviation | Role |
|---|---|---|
| 50x2030 Initiative (www.50x2030.org) | 50x2030 |
Technical and Financial Assistance |
Sampling
• Main Source of the sample frame since 2016 - Agricultural Census 2014
• Sample frame contained 642 000 holding – sample size 12 000 (1.9%)
• Sample Design: two-stage stratified cluster random sampling
o First stage – selection of cluster (Settlement)
o Second stage – Selection of holdings within the selected clusters
• Each year a new sample is selected based on a rotational design
o Every year 1/3 of holdings (4 000) selected a year before are replaced (Sampled holdings participate in the survey during 3 years)
• Extremely large agricultural holdings are sampled every year with complete coverage
• Additional Sources for updating sample frame: Sample Survey of Agricultural Holdings, Statistical Business Register, Administrative data existing in MEPA (large agricultural holdings) Sampling error of main indicators do not exceed 5% for a country level and 10% for a regional level.
In the 2020 fourth quarter, 823 holdings were not responded to due to refusing to be interviewed or would not be found during the fieldwork despite its existence. It is about 6.6% of the total Sampled holdings 12,419 holdings involved in the sample 2020 fourth quarter.
The survey of agriculture holdings uses a rotation design basis. Every sampled cluster, excluding clusters of extra-large holdings, belongs to one of three rotation group. This kind of approach implies to keep a holding in the sample for about three years and after this time replace it by another holding from the same stratum. The initially selected holdings will not necessarily stay in the survey for three years. In 2017, holdings of the first rotation group were substituted, in 2018 – holdings of the second rotation group, and in 2019 – holdings of the third rotation group. Extra-large holdings will participate without being substituted. Every year approximately 4 000 holdings out of 12 000 holdings selected a year before being changed. Newly introduced holdings will belong to the same rotation group which its predecessor belonged to.
- At First, initial weights of selected holdings from sth stratum will be calculated:
Ws(0) = Ns / ns
Where Ns is the number of holdings, and ns – number of selected holdings in sth stratum. In the strata of small, medium and large holdings, all the interviewed holdings of sth stratum will have the following weight assigned:
Ws(1) = Ns - us * Ws (0) / rs
Where rs is the number of responses in sth stratun, and us is the number of selected holdings in the stratum that do not exist.
In extra-large holding strata the difference between holdings with respect to their sizes might be very large and distributing the weights of non-responses on interviewed holdings might give misleading results. Because of this, in order to weight the holdings of this size, post-stratification should be done. At first, the main specialization of all holdings should be determined. That is, the crop type (or type of animals/poultry) which makes up the bulk of holding’s ACI should be determined. All the extra-large holdings of the country should be grouped according to their main specializations. The holdings, ACI of which exceeds 300 should be grouped together separately from other holdings. The latter stratum should also include all the other extra-large holdings which have a unique specialization countrywide. The interviewed holdings of this stratum should have final weights set to their initial weights (Ws(0) = 1), and the holdings which exist but were not interviewed for some reason, should have their data filled in through some method (imputation, results of previous survey, or data obtained from other sources). All of these cases should be considered individually. In the rest of the extra-large holdings weighting should be carried out as it is done in the case of small, medium and large holdings. After forming the sample initial weights were calculated. Afterwards, the accuracy of estimates (obtained from selected holdings) for the parameters from the database was calculated.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2020-01-11 | 2020-01-31 | Inception Survey |
| 2020-04-01 | 2020-04-12 | I Q survey |
| 2020-07-01 | 2020-07-12 | II Q survey |
| 2020-10-01 | 2020-10-12 | III Q survey |
| 2021-01-11 | 2021-01-22 | IV Q (final) survey |
- Computer Assisted Personal Interview [capi]
From 2006 to 2017 data for the Survey of Agriculture Holdings were collected using paper-based questionnaires, while since 2018 data are collected tablet-based computer-assisted personal interviewing (CAPI) methods. In case of agricultural enterprises data are collected via online questionnaires CAWI- Computer Assisted Webinterviewing).
Data processing
After the field work, cleaning and harmonization of all inquiries are established at the Geostat head office - logical and arithmetical inconsistencies, as well as non-typical and suspicious data are detected, checked and corrected. Verification of the data is performed by contacting the respondents by phone. If verification with respondent is impossible, different imputation methods are used. Finally, indicators are calculated using weighted data. The obtained results are compared with corresponding results of the previous periods. In case of significant differences, the possible causes are identified and analyzed.
Access policy
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
https://www.geostat.ge/en/modules/categories/306/legislation |
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Contacts
| Name | Affiliation | |
|---|---|---|
| Giorgi Sanadze | Head of Agriculture and Environment Department at Geostat | gsanadze@geostat.ge |
Metadata production
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Statistics Office of Georgia | GEOSTAT |
Metadata producer |
|
| Office of Chief Statistician | OCS | Food and Agriculture Organization |
Metadata adapted for FAM |
| Development Data Group | DECDG | World Bank Group |
Metadata adapted for World Bank Microdata Library |