In 2023, around 678.2 billion 2017 U.S. dollars was added to the GDP of Georgia across all industries. In that year, the finance, insurance, and real estate industry was the most valuable, contributing 142.75 billion U.S. dollars. The utilities industry added a further 11.42 billion chained 2017 U.S. dollars of value to the state GDP.

This statistic shows the distribution of the gross domestic product (GDP) across economic sectors in Georgia from 2013 to 2023. In 2023, agriculture contributed around 6.02 percent to the GDP of Georgia, 18.88 percent came from the industry and 61.06 percent from the services sector.

The Gross Domestic Product (GDP) in Georgia was worth 33.78 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Georgia represents 0.03 percent of the world economy. This dataset provides the latest reported value for - Georgia GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Georgia GE: GDP: % of Manufacturing: Other Manufacturing data was reported at 36.063 % in 2013. This records a decrease from the previous number of 47.582 % for 2012. Georgia GE: GDP: % of Manufacturing: Other Manufacturing data is updated yearly, averaging 43.330 % from Dec 2000 (Median) to 2013, with 14 observations. The data reached an all-time high of 59.408 % in 2008 and a record low of 30.873 % in 2004. Georgia GE: GDP: % of Manufacturing: Other Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

The Major Label Music Production industry in Georgia is expected to grow an annualized x.x% to $x.x million over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xx locations. Industry employment has increased an annualized x.x% to xxx workers, while industry wages have increased an annualized x% to $x.x million.

The Georgia Freight And Logistics Market report segments the industry into By Logistic Function (Courier, Express, And Parcel (CEP), Freight Forwarding, Freight Transport, Warehousing And Storage, Other Services) and By End User Industry (Agriculture, Fishing And Forestry, Construction, Manufacturing, Oil And Gas, Mining And Quarrying, Wholesale And Retail Trade, Others).

Techsalerator's Job Openings Data for Georgia: A Comprehensive Resource for Employment Insights

Techsalerator’s Job Openings Data for Georgia is an essential tool for businesses, job seekers, and market analysts. It provides a detailed overview of job vacancies across various sectors in Georgia, sourcing and organizing data from job boards, company websites, and recruitment agencies. This dataset offers an in-depth look at the employment landscape, helping users stay updated on the latest job opportunities and trends.

Key Data Fields - Job Posting Date: Tracks the date a job opening was listed. This ensures that job seekers and employers have access to the most current opportunities and labor market trends. - Job Title: Indicates the position being advertised, making it easier to categorize and search for job roles aligned with specific skills or interests. - Company Name: Lists the employer, helping candidates target specific organizations and allowing businesses to monitor competitors and industry trends. - Job Location: Specifies the geographic location of the job within Georgia, enabling job seekers to focus on regional opportunities and employers to assess regional talent pools. - Job Description: Provides detailed information about job responsibilities, qualifications, and other relevant factors. This helps candidates evaluate if they meet the requirements and allows employers to clearly communicate expectations.

Top 5 Job Categories in Georgia 1. Information Technology (IT): Increasing demand for software developers, IT support specialists, and cybersecurity professionals as Georgia continues to develop its digital infrastructure. 2. Tourism and Hospitality: A growing sector with opportunities for hotel management, tour operators, and customer service representatives, driven by Georgia’s expanding tourism industry. 3. Finance and Banking: Roles in banking, financial analysis, and accounting, particularly in Tbilisi, as Georgia strengthens its position as a financial hub. 4. Construction and Engineering: High demand for civil, mechanical, and electrical engineers due to ongoing infrastructure and development projects. 5. Agriculture and Wine Production: Opportunities in farm management, agricultural logistics, and wine production, as agriculture remains a key pillar of Georgia’s economy.

Top 5 Employers in Georgia 1. TBC Bank: One of Georgia’s largest banks, frequently hiring for roles in finance, IT, customer service, and risk management. 2. Georgian Airways: Offering positions in aviation management, engineering, customer service, and logistics. 3. Adjara Group: A leading hospitality and lifestyle company with opportunities in hotel management, tourism, and food service. 4. Tegeta Motors: A major automotive company with frequent openings in engineering, sales, and customer support. 5. Georgian Railway: Providing opportunities in transportation management, engineering, and logistics, reflecting the importance of transit and trade in Georgia.

Accessing Techsalerator’s Data To access Techsalerator’s Job Openings Data for Georgia, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Job Posting Date - Job Title - Company Name - Job Location - Job Description - Application Deadline - Job Type (Full-time, Part-time, Contract) - Salary Range - Required Qualifications - Contact Information

Techsalerator’s dataset is an invaluable resource for staying informed about job openings and employment trends in Georgia, enabling businesses, job seekers, and analysts to make well-informed decisions.

Georgia GE: GDP: % of Manufacturing: Textiles and Clothing data was reported at 2.619 % in 2013. This records a decrease from the previous number of 2.628 % for 2012. Georgia GE: GDP: % of Manufacturing: Textiles and Clothing data is updated yearly, averaging 1.615 % from Dec 2000 (Median) to 2013, with 14 observations. The data reached an all-time high of 2.843 % in 2010 and a record low of 0.708 % in 2003. Georgia GE: GDP: % of Manufacturing: Textiles and Clothing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Georgia GE: GDP: % of Manufacturing: Machinery and Transport Equipment data was reported at 6.484 % in 2013. This records an increase from the previous number of 4.160 % for 2012. Georgia GE: GDP: % of Manufacturing: Machinery and Transport Equipment data is updated yearly, averaging 6.662 % from Dec 2000 (Median) to 2013, with 14 observations. The data reached an all-time high of 14.538 % in 2009 and a record low of 4.160 % in 2012. Georgia GE: GDP: % of Manufacturing: Machinery and Transport Equipment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

This chart offers an insightful look at the store count by category in Georgia. Leading the way is Apparel, with 188 stores, which is 15.72% of the total stores in the region. Next is Home & Garden, contributing 129 stores, or 10.79% of the region's total. Travel also has a notable presence, with 125 stores, making up 10.45% of the store count in Georgia. This breakdown provides a clear picture of the diverse retail landscape in Georgia, showcasing the variety and scale of stores across different categories.

Techsalerator's Corporate Actions Dataset in Georgia offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 28 companies traded on the Georgian Stock Exchange (XGSE).

‍

Top 5 used data fields in the Corporate Actions Dataset for Georgia:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

‍

Top 5 corporate actions in Georgia:

Foreign Direct Investment (FDI): Georgia has attracted foreign investment in various sectors such as energy, real estate, tourism, and agriculture. Corporate actions related to FDI, such as joint ventures, acquisitions, and partnerships, play a significant role in the country's economic development.

Infrastructure Development: Georgia has been investing in infrastructure projects, including transportation, energy, and telecommunications. Corporate actions related to these developments, such as public-private partnerships and project financing, contribute to the country's modernization.

Tourism Promotion: Georgia's tourism industry has been growing, and corporate actions related to the promotion of tourism, hotel development, and hospitality services are important for the sector's expansion.

Export-Oriented Initiatives: Georgia's strategic location at the crossroads of Europe and Asia has led to the development of export-oriented industries. Corporate actions related to the expansion of manufacturing and trade networks, including international trade agreements, are crucial for economic growth.

Financial Market Developments: Corporate actions in Georgia's financial sector, including the banking industry and capital markets, can impact investment opportunities, lending practices, and financial regulations.

Top 5 financial instruments with corporate action Data in Georgia

Tbilisi Stock Exchange (TSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Tbilisi Stock Exchange. This index reflects the overall performance of Georgian companies in the stock market.

Tbilisi Stock Exchange (TSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Tbilisi Stock Exchange, if foreign listings were present. This index offers insights into the performance of international companies operating in Georgia.

GeoMart: A Georgia-based supermarket chain with operations in multiple regions. GeoMart focuses on providing a wide range of consumer goods and household products to customers across Georgia.

GeorgiaFinance Group: A financial services provider headquartered in Georgia, offering a variety of banking and financial solutions to individuals and businesses throughout the country.

AgroGrow Georgia: A company dedicated to promoting sustainable agriculture in Georgia by producing and distributing certified crop seeds tailored to the Georgian climate and agricultural practices.

‍

If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Georgia, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

‍

Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Georgia?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise prici...

Georgia GE: GDP: % of Manufacturing: Chemicals data was reported at 10.752 % in 2013. This records a decrease from the previous number of 11.050 % for 2012. Georgia GE: GDP: % of Manufacturing: Chemicals data is updated yearly, averaging 8.940 % from Dec 2000 (Median) to 2013, with 14 observations. The data reached an all-time high of 14.765 % in 2006 and a record low of 4.962 % in 2001. Georgia GE: GDP: % of Manufacturing: Chemicals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

GPI Holding was Georgia's leading insurance company in terms of gross written premiums (GWP) in 2022. GPI Holding's GWP exceeded ** million euros in that year. The second-highest figure was recorded for TBC Insurance at over ** million euros.

Report of Industrial PA and GA Systems is covering the summarized study of several factors encouraging the growth of the market such as market size, market type, major regions and end user applications. By using the report customer can recognize the several drivers that impact and govern the market. The report is describing the several types of Industrial PA and GA Systems Industry. Factors that are playing the major role for growth of specific type of product category and factors that are motivating the status of the market.

The key evaluation questions for the ISWD project evaluation are as follows:

1. How did the implemented PICG courses compare with the original grant proposals, and what were the reasons for any deviations?
2. Did trainees enroll in PICG-supported courses and graduate from them at targeted levels?
3. What were the labor market outcomes (employment and wages) for graduates from PICG-supported courses?
4. What were employer perceptions of the graduates from the PICG-supported courses, and how did the availability of these graduates affect their hiring and training plans?
5. Will PICG-supported courses be sustained after the compact?
6. What are TVET providers' perceptions of the best practices identified and disseminated by the project, to what extent have they adopted them, and what are the main barriers to doing so?
7. To what extent have the MES and its agencies adopted the policy reforms supported by the project, and what have been the main challenges in doing so?
8. How and to what extent has the annual TVET conference influenced providers, employers, the MES, and other TVET sector stakeholders?

To answer these questions, we propose a mixed-methods performance evaluation, which will include two studies: (1) a quantitative outcomes study of Activity 1; and (2) a qualitative study assessing all project activities (Activities 1-4). To evaluate the possible effects of Activity 1, the outcomes study will measure the training and labor market outcomes of trainees in PICG-supported courses approximately one year after they graduate and, to the extent possible, compare those outcomes with those of a relevant sample of trainees who attended non-supported courses. The qualitative study will explore implementation of all the project activities, the potential mechanisms driving the results observed in the Activity 1 outcomes study, and the likelihood of sustainability across all ISWD initiatives after the compact ends.

Abstract

The survey was conducted in Georgia between March and January 2020. The survey was part of a joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms’ experiences and enterprises’ perception of the environment in which they operate.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

As it is standard for the ES, the Georgia ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for 2019 Georgia ES was selected using stratified random sampling, following the methodology explained in the Sampling Note.

Three levels of stratification were used in this country: industry, establishment size, and region. The original sample design with specific information of the industries and regions chosen is described in "The Georgia 2019 Enterprise Surveys Data Set" report, Appendix C.

Industry stratification was designed in the way that follows: the universe was stratified into two manufacturing industries and three services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Other Manufacturing (ISIC codes 16-37), Retail (ISIC code 52), Hotels and Restaurants (ISIC code 55) and Other Services (ISIC codes 45, 50, 51, 60-64, and 72).

As it is standard for the ES, the Georgia ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification was done across five regions: Tbilisi; East; Adjara; Guria, Samegrelo, Zemo Svaneti; and Center. For the purposes of achieving the thresholds for representativeness, the ES indicators are calculated with some regions combined. In particular, Adjara and (Guria, Samegrelo, Zemo Svaneti) are combined now into North and West region.

Note: See Sections II and III of “The Georgia 2019 Enterprise Surveys Data Set” report for additional details on the sampling procedure.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires - Manufacturing amd Services were used to collect the survey data.

The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond (-8) as a different option from don’t know (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response. Please, note that for this specific question, refusals were not separately identified from “Don’t know” responses.

The number of interviews per contacted establishments was 19.4% This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units.

The share of rejections per contact was 32.7%.

Abstract

This survey was conducted in Georgia between December 2012 and August 2013 as part of the fifth round of the Business Environment and Enterprise Performance Survey (BEEPS V), a joint initiative of the World Bank Group and the European Bank for Reconstruction and Development. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

In Georgia, data from 360 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.

The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

In 2011, the innovation module was added to the standard set of Enterprise Surveys questionnaires to examine in detail how introduction of new products and practices influence firms' performance and management.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Georgia ES was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry, and two service industries (retail, and other services).

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not common practice, apart from the construction and agriculture sectors which are not included in the survey.

Regional stratification was defined in 6 regions (city and the surrounding business area) throughout Georgia.

Database from the National Statistical Office of Georgia was used as the frame for the selection of a sample with the aim of obtaining interviews at 360 establishments with five or more employees.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 26.4% (341 out of 1,290 establishments).

The variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. The strata were defined according to the guidelines described above. Variable a4a is coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different versions of the questionnaire were used. The basic questionnaire, the Core Module, includes all common questions asked to all establishments from all sectors. The second expanded variation, the Manufacturing Questionnaire, is built upon the Core Module and adds some specific questions relevant to manufacturing sectors. The third expanded variation, the Retail Questionnaire, is also built upon the Core Module and adds to the core specific questions.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether, while the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of contacted establishments per realized interview was 0.28. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.19.

View details of Hyundai Transys Georgia Seating Sys Buyer and Duck Il Industrial Co Limited Supplier data to US (United States) with product description, price, date, quantity, major us ports, countries and more.

Georgia Midstream Oil and Gas Industry Outlook to 2025 – Market Outlook for Liquids Storage, Pipelines, Underground Gas Storage and Gas Processing is a comprehensive report on midstream oil and gas industry in India. The report provides details such as name, type, operational status and operator for all active and planned (new build) liquids storage terminals major trunk pipelines, underground gas storage facilities and gas processing plants in India till 2025. Further, the report also offers recent developments, financial deals as well as latest contracts awarded in the country’s midstream sector, wherever available. Read More

Abstract

The Georgia Tobacco Survey (GTS) is a panel survery that collects data from smokers (and former smokers in follow-up waves) on tobacco usage in the Eastern European country of Georgia. The survey covers five regions within Georgia (Tbilisi, Kutaisi, Zugdidi, Akhaltsikhe and Gori) and consists of three waves: GTS 2017 (wave 1), GTS 2018 (wave 2) and GTS 2019 (wave3). Wave 1 was conducted in November 2017 as a response to the passing of a new tobacco contral law in 2017. Wave 2 was conducted in December 2018 after the tobacco control law was enacted in May 2018. Wave 3 was conducted in May 2019 following an increase in cigarette excise tax in January 2019. Tobacco taxes are critical in reducing tobacco consumption and thereby improving public health. However, the tobacco industry claims that a tax increase will increase the size of the illicit tobacco market. Therefore, the GTS can be used to assess the extent of the illicit tobacco market in the country. This dataset was made available under the SALDRU/Economics of Tobacco Control Projects: Opening Access to Economic Data to Prevent Tobacco- and Alcohol Related Diseases in Africa 2016-2018 (IDRC Project 108098); and Data on Aliments, Tobacco and Alcohol (DATA) in Africa Project (IDRC Project 108772-001)

Geographic coverage

The survey has national coverage, although it is worth noting that data was collected in 5 of Georgia's 12 regions (Tbilisi, Kutaisi, Zugdidi, Akhaltsikhe and Gori). These five regions represented 41.2% of the total Georgian population and were chosen based on geographical diversity and/or likely illicit trade hot spots given their proximity to borders.

Analysis unit

Households and individuals

Universe

The Georgia Tobacco Survey covers all adults in households (aged 18 and older).

Kind of data

Sample survey data

Sampling procedure

The sampling began with urban and rural stratification, followed by the selection of primary sampling units (census units in urban strata and villages in rural strata) proportional to population size. Secondary sampling units (households) were then selected using the 'random step method'. If no smokers resided in the selected household, a short general survey was administered to the first adult person answering the door. If the household had a smoker, all smokers were listed and one was randomly selected for the interview. If the selected respondent refused or was not home during any of the three interview attempts, another smoking resident was selected. If no smoking residents were available for interview, the household was recorded as 'non-responding' and the interviewer walked past five households on average (the number varied slightly for urban and rural strata) and selected a replacement household.

Surveyors completed 2997 interviews in wave 1. Of those, 1765 people were successfully re-interviewed in wave 2. These were supplemented with new households (also selected using the 'random step method') which brought the total people interviewed in wave 2 to 3040. In wave 3, there were 1578 people interviewed in both waves 1 and 2 (our panel), 240 people interviewed in wave 1 but not in wave 2, 1036 people only interviewed in wave 2, and 335 people added in wave 3 for the first time. As such, there were 3189 people interviewed in wave 3. For quality control, an independent controller crosschecked a randomly selected 10% of completed interviews in each wave and no major errors were identified.

Mode of data collection

Face-to-face [f2f]

Research instrument

The surveys conducted in all three waves were similar in format, with a few extra questions added in wave 3 to determine any behavioural changes resulting from the new law and tax increase.

Cleaning operations

The data received by DataFirst had been cleaned, merged, and processed for analysis before arriving at DataFirst. Further to this, significant data cleaning was undertken by DataFirst. DataFirst cleaned unreadable characters, empty variables and redundant variables out of the data. The data was also anonymised. The syntax files for all of this cleaning is available with the data. Additionally, significant cleaning of the geographic variables was necessary (see data quality notes).

Response rate

The total attrition in our panel was 52.6% with attrition varying significantly by region. The highest rate was in Tbilisi (62.7%) followed by Kutaisi (52.2%), Akhaltsikhe (47.4%), Gori (31.9%) and Zugdidi (27.4%). Within each region, there was no significant difference in the likelihood of attrition by gender, employment, the probability of showing a pack or the probability of owning an illicit pack. Given the attrition patterns, the analysis was done by region wherever possible.

Data appraisal

There are a few data quality issues at present:

Time: In the current version 1, there are no usable time variables from any of the waves. There are time variables in wave 1 but it is not clear the units these are measured in - they do not correspond to the usual epoch values one would expect.

Geographic: The locational information was not asked consistently in the questionnaires and the resulting data required some fixing. In urban settings, respondents tended to provide region, city, and city district, whereas in rural areas they provided region, district and village. Furhter, for anonymization village had to be redacted. As such, in urban settings there are 3 geographic levels in the cleaned data but only 2 for rural. Each unique case was also checked on the map and inconsistencies were attempted to be fixed. In some cases inconsistent were unfixable and were then left unchaged.

Weight: At present it is not clear what population totals the weights are calibrated to, or what the data represent when weighted.