This layer shows the GEO Census 2014: population of Georgia by administrative-territorial units and sex. Census data source: GeoStat, General Population Census of Georgia 2014, http://geostat.ge and http://cencus.ge. GIS data source: GeoGraphic, http://geographic.ge. Refer to the Features section in the metadata for copyright information.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size: 40796

Abstract

The main purpose of the Survey of Agricultural Holdings is to produce official indicators in line with agricultural sector. The survey allows the compilation of statistics on crops and animal husbandry, of which information annual and permanent crops, sown area, average yield of annual crops and etc. Statistical tables are accessible through the following link: https:// www.geostat.ge/en/modules/categories/196/agriculture. One round of the survey (reference year) includes 5 inquiries: The Inception interview is carried out using the inception questionnaire during the period of January-February of the reference year. During this interview the sampled holdings are identified and situation existing at the holding as of first January is recorded. I, II and III quarter interviews are conducted by means of quarterly questionnaire at the beginning of the following month of the corresponding quarter of the reference year. Based on these surveys, the information about agricultural activities during the corresponding quarter is collected. The final interview is conducted by means of final questionnaire in January of the following year of the reference year. During this interview, the information about agricultural activities at the holding during IV quarter of the reference year and the summery information about agricultural activities at the holding during the whole reference year (from 1 January to 31 December of the previous year) are collected. During all five interviews, the same agricultural holdings (about 12 000) are interviewed which are selected by a two-stage stratified cluster random sampling procedure out of about 642 000 agricultural holdings operated in Georgia. On the first stage, clusters (settlements) are selected. On the second stage, holdings are selected within the selected clusters. 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.

Geographic coverage

Entire country (Georgia), excluding occupied regions (Abkhazia and Tskhinvali region)

Analysis unit

Agricultural holding – 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 in which agricultural activities are conducted under the supervision of a holder, who is responsible for making decisions and takes all economic risks and expenses related to agricultural activities.

Universe

Survey sampling frame includes about 642,000 agriculture holdings (households and agricultural enterprises) operated in country. The Agricultural Census 2014 is the main source of the sample frame. Sampling frame is updated on a permanent basis in according to the results of survey of agricultural holdings, business register and different administrative sources.

Kind of data

Sample survey data [ssd]

Sampling procedure

• 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; - First stage - selection of cluster (Settlement); - Second stage - Selection of holdings within the selected clusters; • Each year a new sample is selected based on a rotational design; - 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;

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Detailed information on structure, and sections of questionnaires used in the survey of agricultural holdings available in following link: https://www.geostat.ge/en/modules/categories/564/questionnaires-Agricultural-Statistics

Cleaning operations

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.

Response rate

In the 2021 fourth quarter, 963 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 7.7% of the total Sampled holdings 12,436 holdings involved in the sample 2021 fourth quarter.

Geographic coverage

National coverage

Analysis unit

• Households;
• Individuals.

Universe

Under the Labour Force Survey, household members aged 15 and above are interviewed except for those members who at the moment of an interview:

1. Lived outside the household for more than 12 months;
2. Lived at a military base;
3. Stayed in prisons, psychiatric clinics, retirement homes and other types of specialized institutions.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Abstract

The sample design of the Machinery, Equipment and Asset module survey is based on the sample of the current Survey of Agricultural Holdings, so firstly given the design of the current Survey. The main purpose of the Survey of Agricultural Holdings as well as Machinery, Equipment and Asset module is to produce official indicators in line with agricultural sector.

The survey allows the compilation of statistics on crops and animal husbandry, of which information annual and permanent crops, sown area, average yield of annual crops, farming practices and their linkages with the natural environment, crop and livestock production methods, access to and use of information services, infrastructure and communal resources and etc. Statistical tables are accessible through the following link: https://www.geostat.ge/en/modules/categories/196/agriculture.

Machinery, Equipment and Asset Module is part of main Survey of Agricultural Holdings. One round of the main survey (reference year) includes 5 inquiries: The Inception interview is carried out using the inception questionnaire during the period of January-February of the reference year. During this interview the sampled holdings are identified and situation existing at the holding as of first January is recorded. I, II and III quarter interviews are conducted by means of quarterly questionnaire at the beginning of the following month of the corresponding quarter of the reference year. Based on these surveys, the information about agricultural activities during the corresponding quarter is collected. The final interview is conducted by means of final questionnaire in January of the following year of the reference year. During this interview, the information about agricultural activities at the holding during IV quarter of the reference year and the summery information about agricultural activities at the holding during the whole reference year (from 1 January to 31 December of the previous year) are collected. During all five interviews, the same agricultural holdings (about 12,000) are interviewed which are selected by a two-stage stratified cluster random sampling procedure out of about 642,000 agricultural holdings operated in Georgia. On the first stage, clusters (settlements) are selected. On the second stage, holdings are selected within the selected clusters.

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.

Machinery, Equipment and Asset module field work was carried out from April 18 to May 25 of 2023. 215 field staff were participated in the survey 22 of which were field supervisors. In total 6,010 agricultural holdings were selected for the MEA survey Since in the MEA survey we collect information about the condition of the farms in 2022, therefore, those farms currently in the selection and which were under observation in 2022 as well, should be selected. Such are the farms of rotation 2 and rotation 3. All extra-large farms will participate in the survey. Currently 702 extra-large farms and 7232 second and third rotations farms are participating in the survey who were interviewed in the third quarter of the 2022. All holdings of the third rotation clusters were selected. Besides that, using simple random sampling approximately 50% of the working clusters of the second rotation were selected in each stratum. All holdings from selected clusters were involved in the sampling. A total of about 6,010 farms were selected.

Geographic coverage

Entire country (Georgia), excluding occupied regions (Abkhazia and Tskhinvali region)

Analysis unit

Agricultural holding – 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 in which agricultural activities are conducted under the supervision of a holder, who is responsible for making decisions and takes all economic risks and expenses related to agricultural activities.

Universe

Survey sampling frame includes about 642,000 agriculture holdings (households and agricultural enterprises) operated in country. The Agricultural Census 2014 is the main source of the sample frame. Sampling frame is updated on a permanent basis in according to the results of survey of agricultural holdings, business register and different administrative sources.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design of the Machinery, Equipment and Asset module survey is based on the sample of the current Survey of Agricultural Holdings, so firstly given the design of the current Survey. • 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; - First stage - selection of cluster (Settlement); - Second stage - Selection of holdings within the selected clusters; • Each year a new sample is selected based on a rotational design; - 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; The sample design of the Machinery, Equipment and Asset module survey: • Sample Design:Two-stage cluster sampling was used for the survey. -Sample is formed separately in each stratum. At first, clusters are selected in every stratum, and then holdings from selected clusters are selected for survey. -Extra-large holdings will be in the sample by probability 1. That is, all clusters of extra-large holdings and all extra-large holdings from these clusters fall into sample. -Primary sampling unit in the rest of the strata is the cluster. The same number of holdings will be interviewed in all the selected clusters of a stratum. Specifically, in small holding strata, 12 holdings will be interviewed in each selected cluster. This number is 8 for medium-sized strata and 4 for large strata. -In each stratum the number of clusters that have to be selected is calculated by dividing the number of holdings to be selected in the stratum by the number of holdings to be interviewed in each cluster of the stratum. -In each stratum selection of clusters is done by the PPS method (Probability Proportionally to Size). -The selection of holdings in each selected cluster is made using a random systematic sample. • Rotational design: Survey has a panel design. Holdings, which will get into the sample, will stay there for three years. After this, they will be substituted by holdings from the same stratum. -The database lists 943 extra-large holdings. All of them will constantly participate in the survey. Their rotation group number will be "0". Of the remaining holdings each of them will belong to one of the three rotation groups. Holdings selected from the same cluster will fall in the same rotation group. Each rotation group will have more or less the same number of holdings. Each rotation group represents an independent random sample. -When holdings change by rotation , holding from the sample will be substituted by the new one from the same cluster. If the cluster does not have enough holdings to make the full rotation, then the cluster is deemed exhausted and is substituted by a randomly selected cluster from the same stratum. -Newly introduced holdings will belong to the same rotation group which its predecessor belonged to.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Detailed information on structure, and sections of questionnaires used in the survey of

Abstract

The sample design of the Production Methods and the Environment module survey is based on the sample of the current Survey of Agricultural Holdings, so firstly given the design of the current Survey. The main purpose of the Survey of Agricultural Holdings as well as Production Methods and the Environment module is to produce official indicators in line with agricultural sector. The survey allows the compilation of statistics on crops and animal husbandry, of which information annual and permanent crops, sown area, average yield of annual crops, farming practices and their linkages with the natural environment, crop and livestock production methods, access to and use of information services, infrastructure and communal resources and etc. Statistical tables are accessible through the following link: https://www.geostat.ge/en/modules/categories/196/agriculture. Production Methods and the Environment Module is part of main Survey of Agricultural Holdings. One round of the main survey (reference year) includes 5 inquiries: The Inception interview is carried out using the inception questionnaire during the period of January-February of the reference year. During this interview the sampled holdings are identified and situation existing at the holding as of first January is recorded. I, II and III quarter interviews are conducted by means of quarterly questionnaire at the beginning of the following month of the corresponding quarter of the reference year. Based on these surveys, the information about agricultural activities during the corresponding quarter is collected. The final interview is conducted by means of final questionnaire in January of the following year of the reference year. During this interview, the information about agricultural activities at the holding during IV quarter of the reference year and the summery information about agricultural activities at the holding during the whole reference year (from 1 January to 31 December of the previous year) are collected. During all five interviews, the same agricultural holdings (about 12000) are interviewed which are selected by a two-stage stratified cluster random sampling procedure out of about 642 000 agricultural holdings operated in Georgia. On the first stage, clusters (settlements) are selected. On the second stage, holdings are selected within the selected clusters. 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 4000 holdings out of the 12000 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. Production Methods and Environment module field work was carried out from May 5th to May 20th of 2022. 200 field staff participated in the survey, 22 of which were field supervisors. In total 5,880 agricultural holdings were selected for the PME survey. Such are the extra-large farms that are continuously participating in the survey and the third rotation farms that have been participating in the survey since 2019. Currently 943 extra-large farms and 3,899 third rotation farms are participating in the survey. Therefore, we have a total of 4,842 farm data for the last three years. The rest of the holdings will be selected from the first rotation clusters where interviews have been conducted for two years. In particular, using simple random sampling approximately 30% of the working clusters of the first rotation are selected in each stratum. This will give us about 1,038 farms. A total of about 5,880 farms will be selected.

Geographic coverage

Entire country (Georgia), excluding occupied regions (Abkhazia and Tskhinvali region)

Analysis unit

Agricultural holding – 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 in which agricultural activities are conducted under the supervision of a holder, who is responsible for making decisions and takes all economic risks and expenses related to agricultural activities.

Universe

Survey sampling frame includes about 642 000 agriculture holdings (households and agricultural enterprises) operated in country. The Agricultural Census 2014 is the main source of the sample frame. Sampling frame is updated on a permanent basis in according to the results of survey of agricultural holdings, business register and different administrative sources.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design of the Production Methods and the Environment module survey is based on the sample of the current Survey of Agricultural Holdings, so firstly given the design of the current Survey. • 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; - First stage - selection of cluster (Settlement); - Second stage - Selection of holdings within the selected clusters; • Each year a new sample is selected based on a rotational design; - 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; The sample design of the Production Methods and the Environment module survey: • Sample Design:Two-stage cluster sampling was used for the survey. -Sample is formed separately in each stratum. At first, clusters are selected in every stratum, and then holdings from selected clusters are selected for survey. -Extra-large holdings will be in the sample by probability 1. That is, all clusters of extra-large holdings and all extra-large holdings from these clusters fall into sample. -Primary sampling unit in the rest of the strata is the cluster. The same number of holdings will be interviewed in all the selected clusters of a stratum. Specifically, in small holding strata, 12 holdings will be interviewed in each selected cluster. This number is 8 for medium-sized strata and 4 for large strata. -In each stratum the number of clusters that have to be selected is calculated by dividing the number of holdings to be selected in the stratum by the number of holdings to be interviewed in each cluster of the stratum. -In each stratum selection of clusters is done by the PPS method (Probability Proportionally to Size). -The selection of holdings in each selected cluster is made using a random systematic sample. • Rotational design: Survey has a panel design. Holdings, which will get into the sample, will stay there for three years. After this, they will be substituted by holdings from the same stratum. -The database lists 943 extra-large holdings. All of them will constantly participate in the survey. Their rotation group number will be "0". Of the remaining holdings each of them will belong to one of the three rotation groups. Holdings selected from the same cluster will fall in the same rotation group. Each rotation group will have more or less the same number of holdings. Each rotation group represents an independent random sample. -When holdings change by rotation , holding from the sample will be substituted by the new one from the same cluster. If the cluster does not have enough holdings to make the full rotation, then the cluster is deemed exhausted and is substituted by a randomly selected cluster from the same stratum. -Newly introduced holdings will belong to the same rotation group which its predecessor belonged to

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Detailed information on structure, and sections of questionnaires used in the survey of agricultural holdings available in following link:

Dataset

This dataset was created by Olga Iudina

Released under Data files © Original Authors

Contents

Abstract

Geostat conducted Census of Agriculture 2014 in accordance with the World Programme of Agricultural Censuses 2006-2015 recommended by the Food and Agriculture Organization (FAO). The census was based on the FAO methodology. Statistics experts of FAO and the United States Department of Agriculture (USDA) were actively engaged at every stage of the census process. At the first stage, in November 2014, together with Population Census there was conducted Census of Agriculture for households. In addition to this, in spring 2015 there was conducted Census of Agriculture for legal entities. As a result, the census covered all agricultural holdings in the country (on the territory controlled by the Government of Georgia) – all households and legal entities, who, as of October 1, 2014, were owning or temporarily operating agricultural land, livestock, poultry, beehive or permanent crop (agricultural), regardless the fact whether there was produced any kind of agricultural product or not during the reference year. The census provided diverse information about agriculture of Georgia such is structure and use of land operated by holdings, livestock, poultry and beehive numbers.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The main statistical unit was the agricultural holding, defined as an economic unit engaged in agricultural production under single management without regard to size and legal status. An economic unit that operates agricultural land or permanent crop trees, but that during the reference year has no agricultural production, is also considered an agricultural holding. As the AC 2014 data collection for the agricultural holdings in the household sector was carried out jointly with the GPC, the common statistical unit was the agricultural production household. Two types of agricultural holdings were distinguished: family holdings and agricultural enterprises.

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Frame In 2013, Geostat conducted preliminary fieldwork to establish the list of dwellings and households existing in Georgia. The information received from the preliminary fieldwork was used to update and finalize the census frame for data collection. For agricultural enterprises, to ensure full coverage of the list of potential agricultural enterprises, all existing reliable sources in the country were used.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire was used for the AC 2014 data collection, in both paper and electronic format covering:

• Household roster
• Number of Holdings
• Structure of the Land Operated by Holdings
• Agricultural Land and Its Use
• Arable Land
• Permanent Crops
• Orchards
• Vineyards
• Livestock and Poultry

The AC 2014 questionnaire covered 15 of the 16 core items recommended for the WCA 2010 round. The following item was not covered: "Other economic production activities of the holding's enterprise".

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING For several months after the census enumeration, approximately 300 people worked on the digitalization of census data. They were permanently supervised by IT and other technical staff. In parallel, digitized questionnaires were compared with paper questionnaires by editors. Finally, data were cleaned by the appropriate division at the central office of Geostat. The data cleaning process used several methods. Data relating to large holdings were verified by telephone calls. In addition, different reliable sources (registers) were used to fill in missing data. Furthermore, donor imputation was used to fill in the missing values. For tabulation, a special software was prepared by Geostat. Geostat implemented a microdata archiving system to save the census data.

(b) CENSUS DATA QUALITY Geostat conducted a PES to assess the quality of the AC. During the fieldwork, Geostat used a six-level control system, which involved the following categories of census staff: field work coordinator, regional coordinator, municipal supervisor, sector supervisor, instructor-coordinator and enumerator.

Abstract

The Household Integrated Survey (HIS) in Georgia has been conducted regularly from 1996 and has served to assess the level of consumption-based poverty since then. The HIS represents quarterly panel data. The survey covers 13,404 households over the year. Each month 1/12 of the sample is refreshed (about 228 households are changed in 25 census units).

Geographic coverage

National

Analysis unit

• Households;
• Individuals.

Universe

The survey covers all household members, excluding persons fully supported by the state, for example persons staying in homes for the elderly and the disabled, children in public care institutions, prisoners, etc.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey consists in quarterly interviewing households in Tbilisi and nine regions of Georgia: 1. Kakheti; 2. Tbilisi; 3. Shida Kartli, including Mtskheta-Mtianeti1; 4. Kvemo Kartli; 5. Mtskheta-Mtianeti; 6. Samtskhe-Javakheti; 7. Adjara; 8. Guria; 9. Samegrelo; 10. Imereti, including Racha-Lechkhumi and Kvemo Svaneti.

The 1989 Population Census served as a sampling frame of the household survey untill 2002. A new census was conducted in early 2002, which enabled development of new sampling design. Transiton to the new sampling design began in April 2002.

In the new design of the survey, stratification of each reagion was mainly carried out by settlement type and settlement altitude. Three types of settled areas according to the structure of employment and incomes were identified: (a) large cities (with population over 50,000); (b) small cities (with population under 50,000); and (c) villages. By altitude, the settlements can be divided into two groups: (1) highland settled areas; and (2) lowland settled areas.

The households are selected according to the same principle as in the old design, but using information from 2002 Population Census.

1. In each stratum, census units are selected with probability proportional to the number of households in census units.
2. The selected census units are actualized. Namely, the household list in a selected census unit is given to an interviewer who determines the changes that have occurred since the last population census (by visiting all households in the unit) and records the existing situation (i.e., whether the address indicated in the list exists or not, whether the dwelling on the indicated address is being used for living, who lives in the indicated address; he/she also enumerates all new dwellings built in the census unit territory from the last census).
3. Households are selected from actualized list according to systematic random sampling method.
4. After the selected households are interviewed four times (once in quarter), they are replaced by households which are next in the list.
5. After all households in census unit participate in the survey, this census unit is replaced by another census unit selected randomly from the same stratum.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire consists of eight sections:

• Shinda01: general information about living conditions, housing, durables, etc. This section remained unchanged since the household survey was introduced in 1996.

• Shinda02: household composition. This section also remained unchanged since the survey inception.

• Shinda03: diary expenditure form. This section includes all diary expenditures during one week and it is filled out four times during the households' period of survey.

• Shinda04: quarterly expenditures and agricultural activity form. This section covers quarterly expenditures on durables, energy supplies, health care, education, and other services. The questionnaire also collects information about harvest and processing of agricultural products produced by the household, sale and income from selling these products. The questionnaire is filled out four times, simultaneously with diary expenditures form. This section also features "reminder questions", which help households remember their expenditures.

• Shinda05: Information about public and private transfers, as well as on changes in household financial and demographic conditions is collected in the section. The substance of the questions was not changed; however their phrasing was adjusted to make them more understandable for respondents.

• Shinda05-1: includes information on employment and incomes from employment of adult household members.

• Shinda07: refusal form. This section covers information on non-response or non-eligibility. This form helps correct the weights before data processing.

• Shinda09: monitoring of poverty in Georgia.

"Shinda" is a Georgian abbreviation for "observation of households."

This dataset contains the number of inhabitants per km² for the reference year 2006 and located within the Grid_ETRS89-LAEA_1K. The data set should be referred to GEOSTAT_Grid_POP_2006_1K. The dataset is compiled from the following data sources: aggregated residential population for the year 2006 (AT, SE, FI, SI, NL); estimated residential population for the year 2006 based on mixed national sources (EE, PT, FR, NO, PL, UK (England, Wales)); disaggregated residential population for the year 2006 using using population statistics at LAU2 level for 2006 as data input and Soil Sealing and Corine LC 2006 (BE, BG, CH, CZ, DE, EL, ES, HU, IE, IS, IT, LI, LT, LU, LV, MT, RO, SK, UK (Scotland, Northern Ireland) as ancillary data for the disaggregation. No data available for CY due to absent LAU2 data for Cyprus for the reference year 2006. The dataset is based on a product of the GEOSTAT project which is supported by the European Commission and the European Forum for Geostatistics EFGS. This abstract is based on the abstract provided with the original dataset (CSV file).

This file contains the digital vector boundaries for the GEOSTAT grid in the UK as at 31 December 2011, as produced and supplied by Eurostat. The file was created as part of a ‘Pan-European' grid system. The grid contains 2011 Census data on total population and number of households for the United Kingdom and a break down by sex for England, Wales and Northern Ireland. This data is provided on the basis of the previously released postcode information from the Census where each postcode (and its associated data) is allocated to the GEOSTAT grid on the basis of its grid reference (point-in-polygon). Using the previously published data has allowed the publication of small counts for grid cells that may previously have been suppressed if there was a risk of disclosure. The file is in GRE format (grid, extent), meaning that is grid formed of equally sized cells which extends beyond the coastline. It can be used to aggregate statistics to equally sized 'areas’. Please note that this product contains Eurostat, National Records of Scotland, Northern Ireland Statistics and Research Agency and ONS Intellectual Property Rights. The services for the GEOSTAT Grids are published in the ETRS 1989 LAEA projection. As the file is not in the British National Grid (BNG) projection, it may not line up with other spatial datasets.

Malla proyección LAEA TM, de SEVILLA con celdas de 2,5 km de lado.Fuente de la malla:https://www.eea.europa.eu/data-and-maps/data/external/geostat-2011-grid-datasetGEOSTAT fue lanzado a principios de 2010 por Eurostat en cooperación con el Foro Europeo de Geoestadística (EFGS), para promover estadísticas basadas en la red y, en general, para trabajar hacia la integración de información estadística y geoespacial en una infraestructura de información común para la UE. Su objetivo es desarrollar directrices comunes para la recopilación y producción de estadísticas espaciales y de cuadrícula dentro del Sistema Estadístico Europeo.La cuadrícula geográficamente referenciadas es un sistema de celdas (generalmente cuadradas) en coordenadas cartesianas. Tradicionalmente, las estadísticas oficiales se informan de acuerdo con un sistema jerárquico de unidades administrativas que van desde el nivel local hasta el de la UE y generalmente bajo el control de una autoridad oficial. En la UE, la NUTS es el ejemplo más importante de dicho sistema de producción. Si bien esto es excelente para fines contables y para informar a la autoridad respectiva que administra el territorio, no es adecuado para estudiar las causas y los efectos de muchos fenómenos socioeconómicos y ambientales, como inundaciones, desplazamientos, movilidad, ocio, etc. Al estudiar tales fenómenos , un sistema de cuadrículas con celdas de cuadrícula de igual tamaño tiene muchas ventajas:Todas las celdas de la cuadrícula tienen el mismo tamaño que permite una comparación fácil;Las rejillas son estables en el tiempo;Las cuadrículas se integran fácilmente con otros datos científicos (por ejemplo, información meteorológica);Los sistemas de cuadrícula se pueden construir jerárquicamente en términos de tamaño de celda, por lo tanto, coinciden con el área de estudio; yLas celdas de cuadrícula se pueden ensamblar para formar áreas que reflejen un propósito específico y un área de estudio (regiones montañosas, cuencas hidrográficas).

Malla proyección LAEA TM, de SEVILLA con celdas de 1 km de lado.Fuente de la malla:https://www.eea.europa.eu/data-and-maps/data/external/geostat-2011-grid-datasetGEOSTAT fue lanzado a principios de 2010 por Eurostat en cooperación con el Foro Europeo de Geoestadística (EFGS), para promover estadísticas basadas en la red y, en general, para trabajar hacia la integración de información estadística y geoespacial en una infraestructura de información común para la UE. Su objetivo es desarrollar directrices comunes para la recopilación y producción de estadísticas espaciales y de cuadrícula dentro del Sistema Estadístico Europeo.La cuadrícula geográficamente referenciadas es un sistema de celdas (generalmente cuadradas) en coordenadas cartesianas. Tradicionalmente, las estadísticas oficiales se informan de acuerdo con un sistema jerárquico de unidades administrativas que van desde el nivel local hasta el de la UE y generalmente bajo el control de una autoridad oficial. En la UE, la NUTS es el ejemplo más importante de dicho sistema de producción. Si bien esto es excelente para fines contables y para informar a la autoridad respectiva que administra el territorio, no es adecuado para estudiar las causas y los efectos de muchos fenómenos socioeconómicos y ambientales, como inundaciones, desplazamientos, movilidad, ocio, etc. Al estudiar tales fenómenos , un sistema de cuadrículas con celdas de cuadrícula de igual tamaño tiene muchas ventajas:Todas las celdas de la cuadrícula tienen el mismo tamaño que permite una comparación fácil;Las rejillas son estables en el tiempo;Las cuadrículas se integran fácilmente con otros datos científicos (por ejemplo, información meteorológica);Los sistemas de cuadrícula se pueden construir jerárquicamente en términos de tamaño de celda, por lo tanto, coinciden con el área de estudio; yLas celdas de cuadrícula se pueden ensamblar para formar áreas que reflejen un propósito específico y un área de estudio (regiones montañosas, cuencas hidrográficas).

This file contains the digital vector boundaries for the GEOSTAT grid in the UK as at 31 December 2011, as produced and supplied by Eurostat. The file was created as part of a ‘Pan-European' grid system. The grid contains 2011 Census data on total population and number of households for the United Kingdom and a break down by sex for England, Wales and Northern Ireland. This data is provided on the basis of the previously released postcode information from the Census where each postcode (and its associated data) is allocated to the GEOSTAT grid on the basis of its grid reference (point-in-polygon). The file is in GRE format (grid, extent), meaning that is grid formed of equally sized cells which extends beyond the coastline. It can be used to aggregate statistics to equally sized 'areas’. Please note that this product contains Eurostat, National Records of Scotland, Northern Ireland Statistics and Research Agency and ONS Intellectual Property Rights. The services for the GEOSTAT Grids are published in the ETRS 1989 LAEA projection. As the file is not in the British National Grid (BNG) projection, it may not line up with other spatial datasets.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/GEOSTAT_(Dec_2011)_GEC_in_the_United_Kingdom/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/GEOSTAT_December_2011_Grid_Extent_Boundaries_in_the_United_Kingdom/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/GEOSTAT_Dec_2011_GEC_in_the_United_Kingdom_2022/FeatureServer

Dan il-fajl fih il-konfini tal-vettur diġitali għall-grilja GEOSTAT fir-Renju Unit fl-31 ta’ Diċembru 2011, kif prodott u fornut mill-Eurostat. Il-fajl inħoloq bħala parti minn sistema ta’ grilja “Pan-Ewropea”. Il-grilja fiha data taċ-Ċensiment tal-2011 dwar il-popolazzjoni totali u l-għadd ta’ unitajiet domestiċi għar-Renju Unit u kategorizzazzjoni skont is-sess għall-Ingilterra, Wales u l-Irlanda ta’ Fuq. Din id-data hija pprovduta abbażi tal-informazzjoni tal-kodiċi postali maħruġa preċedentement miċ-Ċensiment fejn kull kodiċi postali (u d-data assoċjata miegħu) jiġi allokat lill-grilja GEOSTAT abbażi tar-referenza tal-grilja tagħha (punt fil-poligonu). Il-fajl huwa fil-format GRE (grid, firxa), li jfisser li hija grid ffurmata minn ċelloli daqs ugwali li testendi lil hinn mill-kosta. Tista’ tintuża biex taggrega l-istatistika għal “żoni” ta’ daqs ugwali. Jekk jogħġbok innota li dan il-prodott fih l-Eurostat, ir-Rekords Nazzjonali tal-Iskozja, l-Aġenzija tal-Istatistika u r-Riċerka tal-Irlanda ta’ Fuq u d-Drittijiet tal-Proprjetà Intellettwali ONS. Is-servizzi għall-grilji GEOSTAT huma ppubblikati fil-projezzjoni tal-LAEA ETRS 1989. Peress li l-fajl mhuwiex fil-projezzjoni Brittanika tal-Grilja Nazzjonali (BNG), jista’ ma jkunx konformi ma’ settijiet ta’ data ġeografika oħrajn.

Area-to-point kriging (ATPK) is a geostatistical method for creating maps of high resolution using data of much lower resolution. These R-scripts compare prediction uncertainty using different ATPK methods, using simulations and a real world case concerning crop yields in Burkina Faso.

ABSTRACT The aim of this work was to analyze geochemical data in order to check their stationarity and to correlate the statistical normality using the ordinary kriging technique. The ordinary kriging technique was chosen as the geostatistical method applied to work because such technique is advised for studies in areas where there are data with variables that might present spatial dependence, like the geochemical variables, and also because it is indicated for data presenting stationarity. The methodology used for this research involved, besides literature review, data collection of trace metals (Cu, Zn, Mn, Fe, Cr and Pb) that were partially extracted from surface samples (0 to 10 cm) of soils and sediments collected in the field. We also determined the values of pH, salinity, total nitrogen, phosphorus, organic matter and particle size. Statistical analyzes, semivariogram development, ordinary kriging use and, lastly, cross validation were performed to measure the uncertainty of the previous measurement of data. It was found, in this work, by means of the variograms that although data were ordinary, they showed stationarity. In addition, the parameter of descriptive statistics that mostly correlates directly with the ordinary kriging is variance.

Plik ten zawiera cyfrowe granice wektorów dla sieci GEOSTAT w Zjednoczonym Królestwie na dzień 31 grudnia 2011 r., wyprodukowane i dostarczone przez Eurostat. Plik powstał w ramach ogólnoeuropejskiego systemu siatki. Siatka zawiera dane spisu ludności za 2011 r. dotyczące całkowitej liczby ludności i liczby gospodarstw domowych w Zjednoczonym Królestwie oraz podział według płci dla Anglii, Walii i Irlandii Północnej. Dane te są dostarczane na podstawie wcześniej opublikowanych informacji o kodzie pocztowym ze spisu, w którym każdy kod pocztowy (i związane z nim dane) jest przypisany do siatki GEOSTAT na podstawie jej odniesienia do siatki (punkt-in-poligon). Plik jest w formacie GRE (siatka, zasięg), co oznacza, że ​​jest to siatka utworzona z równie dużych komórek, które rozciągają się poza linię brzegową. Można go wykorzystać do zagregowania statystyk do jednakowej wielkości „obszarów”. Należy pamiętać, że ten produkt zawiera Eurostat, National Records of Scotland, Northern Ireland Statistics and Research Agency oraz ONS Intellectual Property Rights. Usługi dla sieci GEOSTAT są publikowane w projekcji ETRS 1989 LAEA. Ponieważ plik nie znajduje się w projekcji British National Grid (BNG), może nie być zgodny z innymi zestawami danych przestrzennych.

🇵🇱 폴란드

A description of the statistical analyses used in this study.