Lithuania Company Statistics
Lithuania LT: Average Time to Clear Exports Through Customs
LT: Average Time to Clear Exports Through Customs data was reported at 1.400 Day in 2013. This records a decrease from the previous number of 2.400 Day for 2009. LT: Average Time to Clear Exports Through Customs data is updated yearly, averaging 2.300 Day from Dec 2002 to 2013, with 5 observations. The data reached an all-time high of 3.300 Day in 2004 and a record low of 1.400 Day in 2013. LT: Average Time to Clear Exports Through Customs data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Average time to clear exports through customs is the average number of days to clear direct exports through customs.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.40 2013 | yearly | 2002 - 2013 |
View Lithuania's Lithuania LT: Average Time to Clear Exports Through Customs from 2002 to 2013 in the chart:
Lithuania LT: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request
LT: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request data was reported at 10.400 % in 2013. This records an increase from the previous number of 7.200 % for 2009. LT: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request data is updated yearly, averaging 8.800 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 10.400 % in 2013 and a record low of 7.200 % in 2009. LT: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 10.40 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request from 2009 to 2013 in the chart:
Lithuania LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female
LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data was reported at 0.600 % in 2017. This stayed constant from the previous number of 0.600 % for 2016. LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data is updated yearly, averaging 2.700 % from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 4.000 % in 2003 and a record low of 0.200 % in 2014. LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 0.60 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female from 2003 to 2017 in the chart:
Lithuania LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male
LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data was reported at 0.600 % in 2017. This stayed constant from the previous number of 0.600 % for 2016. LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data is updated yearly, averaging 2.700 % from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 4.000 % in 2003 and a record low of 0.200 % in 2014. LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 0.60 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male from 2003 to 2017 in the chart:
Lithuania LT: Cost of Business Start-Up Procedures: % of GNI per Capita
LT: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 0.600 % in 2017. This stayed constant from the previous number of 0.600 % for 2016. LT: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 2.700 % from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 4.000 % in 2003 and a record low of 0.200 % in 2014. LT: Cost of Business Start-Up Procedures: % of GNI per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 0.60 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Cost of Business Start-Up Procedures: % of GNI per Capita from 2003 to 2017 in the chart:
Lithuania LT: Cost to Exports: USD per Container
LT: Cost to Exports: USD per Container data was reported at 750.000 USD in 2014. This stayed constant from the previous number of 750.000 USD for 2013. LT: Cost to Exports: USD per Container data is updated yearly, averaging 822.500 USD from Dec 2005 to 2014, with 10 observations. The data reached an all-time high of 870.000 USD in 2011 and a record low of 750.000 USD in 2014. LT: Cost to Exports: USD per Container data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and technical control, customs broker fees, terminal handling charges and inland transport. The cost measure does not include tariffs or trade taxes. Only official costs are recorded. Several assumptions are made for the business surveyed: Has 60 or more employees; Is located in the country's most populous city; Is a private, limited liability company. It does not operate within an export processing zone or an industrial estate with special export or import privileges; Is domestically owned with no foreign ownership; Exports more than 10% of its sales. Assumptions about the traded goods: The traded product travels in a dry-cargo, 20-foot, full container load. The product: Is not hazardous nor does it include military items; Does not require refrigeration or any other special environment; Does not require any special phytosanitary or environmental safety standards other than accepted international standards.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 750.00 2014 | yearly | 2005 - 2014 |
View Lithuania's Lithuania LT: Cost to Exports: USD per Container from 2005 to 2014 in the chart:
Lithuania LT: Cost to Imports: USD per Container
LT: Cost to Imports: USD per Container data was reported at 800.000 USD in 2014. This stayed constant from the previous number of 800.000 USD for 2013. LT: Cost to Imports: USD per Container data is updated yearly, averaging 980.000 USD from Dec 2005 to 2014, with 10 observations. The data reached an all-time high of 980.000 USD in 2012 and a record low of 800.000 USD in 2014. LT: Cost to Imports: USD per Container data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and technical control, customs broker fees, terminal handling charges and inland transport. The cost measure does not include tariffs or trade taxes. Only official costs are recorded.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 800.00 2014 | yearly | 2005 - 2014 |
View Lithuania's Lithuania LT: Cost to Imports: USD per Container from 2005 to 2014 in the chart:
Lithuania LT: Firm with Female Top Manager: % of Firms
LT: Firm with Female Top Manager: % of Firms data was reported at 21.000 % in 2013. This records an increase from the previous number of 15.100 % for 2009. LT: Firm with Female Top Manager: % of Firms data is updated yearly, averaging 18.050 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 21.000 % in 2013 and a record low of 15.100 % in 2009. LT: Firm with Female Top Manager: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average; Relevance to gender indicator: Women are vastly underrepresented in decision making positions at the top level in the private sector and this indicator monitors progress that has been made.
| Last | Frequency | Range |
|---|---|---|
| 21.00 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Firm with Female Top Manager: % of Firms from 2009 to 2013 in the chart:
Lithuania LT: Firms Competing Against Unregistered Firms: % of Firms
LT: Firms Competing Against Unregistered Firms: % of Firms data was reported at 58.000 % in 2013. This records an increase from the previous number of 50.100 % for 2009. LT: Firms Competing Against Unregistered Firms: % of Firms data is updated yearly, averaging 54.050 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 58.000 % in 2013 and a record low of 50.100 % in 2009. LT: Firms Competing Against Unregistered Firms: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Firms competing against unregistered firms are the percentage of firms competing against unregistered or informal firms.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 58.00 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Firms Competing Against Unregistered Firms: % of Firms from 2009 to 2013 in the chart:
Lithuania LT: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms
LT: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms data was reported at 14.600 % in 2013. This records a decrease from the previous number of 30.800 % for 2009. LT: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms data is updated yearly, averaging 22.700 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 30.800 % in 2009 and a record low of 14.600 % in 2013. LT: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Percent of firms experiencing losses due to theft, robbery, vandalism or arson that occurred on the establishment's premises.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.60 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms from 2009 to 2013 in the chart:
Lithuania LT: Firms Formally Registered When Operations Started: % of Firms
LT: Firms Formally Registered When Operations Started: % of Firms data was reported at 100.000 % in 2013. This records an increase from the previous number of 97.100 % for 2009. LT: Firms Formally Registered When Operations Started: % of Firms data is updated yearly, averaging 98.550 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 100.000 % in 2013 and a record low of 97.100 % in 2009. LT: Firms Formally Registered When Operations Started: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Firms Formally Registered When Operations Started: % of Firms from 2009 to 2013 in the chart:
Lithuania LT: Firms Offering Formal Training: % of Firms
LT: Firms Offering Formal Training: % of Firms data was reported at 42.000 % in 2013. This records a decrease from the previous number of 46.000 % for 2009. LT: Firms Offering Formal Training: % of Firms data is updated yearly, averaging 55.500 % from Dec 2002 to 2013, with 5 observations. The data reached an all-time high of 71.100 % in 2002 and a record low of 42.000 % in 2013. LT: Firms Offering Formal Training: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 42.00 2013 | yearly | 2002 - 2013 |
View Lithuania's Lithuania LT: Firms Offering Formal Training: % of Firms from 2002 to 2013 in the chart:
Lithuania LT: Firms That Spend On R&D: % of Firms
LT: Firms That Spend On R&D: % of Firms data was reported at 8.900 % in 2013. LT: Firms That Spend On R&D: % of Firms data is updated yearly, averaging 8.900 % from Dec 2013 to 2013, with 1 observations. LT: Firms That Spend On R&D: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Percent of firms that spend on research and development.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.90 2013 | yearly | 2013 - 2013 |
View Lithuania's Lithuania LT: Firms That Spend On R&D: % of Firms from 2013 to 2013 in the chart:
Lithuania LT: Firms Visited or Required Meetings with Tax Officials: % of Firms
LT: Firms Visited or Required Meetings with Tax Officials: % of Firms data was reported at 35.600 % in 2013. This records a decrease from the previous number of 41.000 % for 2009. LT: Firms Visited or Required Meetings with Tax Officials: % of Firms data is updated yearly, averaging 38.300 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 41.000 % in 2009 and a record low of 35.600 % in 2013. LT: Firms Visited or Required Meetings with Tax Officials: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Percent of firms that were visited or required to meet with tax officials.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.60 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Firms Visited or Required Meetings with Tax Officials: % of Firms from 2009 to 2013 in the chart:
Lithuania LT: Firms using Banks to Finance Investment: % of Firms
LT: Firms using Banks to Finance Investment: % of Firms data was reported at 28.000 % in 2013. This records a decrease from the previous number of 47.400 % for 2009. LT: Firms using Banks to Finance Investment: % of Firms data is updated yearly, averaging 24.800 % from Dec 2002 to 2013, with 5 observations. The data reached an all-time high of 47.400 % in 2009 and a record low of 14.400 % in 2002. LT: Firms using Banks to Finance Investment: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Firms using banks to finance investment are the percentage of firms using banks to finance investments.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 28.00 2013 | yearly | 2002 - 2013 |
View Lithuania's Lithuania LT: Firms using Banks to Finance Investment: % of Firms from 2002 to 2013 in the chart:
Lithuania LT: Firms using Banks to Finance Working Capital: % of Firms
LT: Firms using Banks to Finance Working Capital: % of Firms data was reported at 25.500 % in 2013. This records a decrease from the previous number of 31.900 % for 2005. LT: Firms using Banks to Finance Working Capital: % of Firms data is updated yearly, averaging 27.050 % from Dec 2002 to 2013, with 4 observations. The data reached an all-time high of 31.900 % in 2005 and a record low of 25.500 % in 2013. LT: Firms using Banks to Finance Working Capital: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Firms using banks to finance working capital are the percentage of firms using bank loans to finance working capital.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 25.50 2013 | yearly | 2002 - 2013 |
View Lithuania's Lithuania LT: Firms using Banks to Finance Working Capital: % of Firms from 2002 to 2013 in the chart:
Lithuania LT: Firms with Female Participation in Ownership: % of Firms
LT: Firms with Female Participation in Ownership: % of Firms data was reported at 35.800 % in 2013. This records a decrease from the previous number of 38.700 % for 2009. LT: Firms with Female Participation in Ownership: % of Firms data is updated yearly, averaging 34.550 % from Dec 2004 to 2013, with 4 observations. The data reached an all-time high of 38.700 % in 2009 and a record low of 26.100 % in 2005. LT: Firms with Female Participation in Ownership: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Firms with female participation in ownership are the percentage of firms with a woman among the principal owners.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.80 2013 | yearly | 2004 - 2013 |
View Lithuania's Lithuania LT: Firms with Female Participation in Ownership: % of Firms from 2004 to 2013 in the chart:
Lithuania LT: Informal Payments to Public Officials: % of Firms
LT: Informal Payments to Public Officials: % of Firms data was reported at 9.100 % in 2013. This records a decrease from the previous number of 10.700 % for 2009. LT: Informal Payments to Public Officials: % of Firms data is updated yearly, averaging 27.050 % from Dec 2002 to 2013, with 4 observations. The data reached an all-time high of 49.200 % in 2002 and a record low of 9.100 % in 2013. LT: Informal Payments to Public Officials: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to 'get things done' with regard to customs, taxes, licenses, regulations, services, and the like.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.10 2013 | yearly | 2002 - 2013 |
View Lithuania's Lithuania LT: Informal Payments to Public Officials: % of Firms from 2002 to 2013 in the chart:
Lithuania LT: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms
LT: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data was reported at 4.300 % in 2013. This records an increase from the previous number of 1.300 % for 2009. LT: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data is updated yearly, averaging 2.800 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 4.300 % in 2013 and a record low of 1.300 % in 2009. LT: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Average losses as a result of theft, robbery, vandalism or arson that occurred on the establishment’s premises calculated as a percentage of annual sales. The value represents the average losses for all firms which reported losses (please see indicator IC.FRM.THEV.ZS).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.30 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms from 2009 to 2013 in the chart:
Lithuania LT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms
LT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data was reported at 1.400 NA in 2013. This records a decrease from the previous number of 2.100 NA for 2009. LT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data is updated yearly, averaging 1.750 NA from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 2.100 NA in 2009 and a record low of 1.400 NA in 2013. LT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Average number of visits or required meetings with tax officials during the year. The value represents the average number of visits for all firms which reported being visited or required to meet with tax officials (please see indicator IC.FRM.METG.ZS).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.40 2013 | yearly | 2009 - 2013 |
View Lithuania's Lithuania LT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms from 2009 to 2013 in the chart:
Lithuania LT: Procedures to Build a Warehouse
LT: Procedures to Build a Warehouse data was reported at 13.000 Number in 2017. This stayed constant from the previous number of 13.000 Number for 2016. LT: Procedures to Build a Warehouse data is updated yearly, averaging 13.000 Number from Dec 2005 to 2017, with 13 observations. The data reached an all-time high of 13.000 Number in 2017 and a record low of 13.000 Number in 2017. LT: Procedures to Build a Warehouse data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Number of procedures to build a warehouse is the number of interactions of a company's employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apart from architects and engineers.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 13.00 2017 | yearly | 2005 - 2017 |
View Lithuania's Lithuania LT: Procedures to Build a Warehouse from 2005 to 2017 in the chart:
Lithuania LT: Procedures to Register Property
LT: Procedures to Register Property data was reported at 3.000 Number in 2017. This stayed constant from the previous number of 3.000 Number for 2016. LT: Procedures to Register Property data is updated yearly, averaging 3.000 Number from Dec 2004 to 2017, with 14 observations. The data reached an all-time high of 3.000 Number in 2017 and a record low of 3.000 Number in 2017. LT: Procedures to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Number of procedures to register property is the number of procedures required for a businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 3.00 2017 | yearly | 2004 - 2017 |
View Lithuania's Lithuania LT: Procedures to Register Property from 2004 to 2017 in the chart:
Lithuania LT: Start-Up Procedures to Register a Business
LT: Start-Up Procedures to Register a Business data was reported at 4.000 Number in 2017. This stayed constant from the previous number of 4.000 Number for 2016. LT: Start-Up Procedures to Register a Business data is updated yearly, averaging 7.000 Number from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 8.000 Number in 2005 and a record low of 4.000 Number in 2017. LT: Start-Up Procedures to Register a Business data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 4.00 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Start-Up Procedures to Register a Business from 2003 to 2017 in the chart:
Lithuania LT: Start-Up Procedures to Register a Business: Female
LT: Start-Up Procedures to Register a Business: Female data was reported at 4.000 Number in 2017. This stayed constant from the previous number of 4.000 Number for 2016. LT: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 7.000 Number from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 8.000 Number in 2005 and a record low of 4.000 Number in 2017. LT: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 4.00 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Start-Up Procedures to Register a Business: Female from 2003 to 2017 in the chart:
Lithuania LT: Start-Up Procedures to Register a Business: Male
LT: Start-Up Procedures to Register a Business: Male data was reported at 4.000 Number in 2017. This stayed constant from the previous number of 4.000 Number for 2016. LT: Start-Up Procedures to Register a Business: Male data is updated yearly, averaging 7.000 Number from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 8.000 Number in 2005 and a record low of 4.000 Number in 2017. LT: Start-Up Procedures to Register a Business: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 4.00 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Start-Up Procedures to Register a Business: Male from 2003 to 2017 in the chart:
Lithuania LT: Tax Payments
LT: Tax Payments data was reported at 11.000 Number in 2017. This stayed constant from the previous number of 11.000 Number for 2016. LT: Tax Payments data is updated yearly, averaging 11.000 Number from Dec 2005 to 2017, with 13 observations. The data reached an all-time high of 15.000 Number in 2008 and a record low of 11.000 Number in 2017. LT: Tax Payments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 11.00 2017 | yearly | 2005 - 2017 |
View Lithuania's Lithuania LT: Tax Payments from 2005 to 2017 in the chart:
Lithuania LT: Time Required to Build a Warehouse
LT: Time Required to Build a Warehouse data was reported at 75.000 Day in 2017. This records a decrease from the previous number of 104.000 Day for 2016. LT: Time Required to Build a Warehouse data is updated yearly, averaging 138.500 Day from Dec 2005 to 2017, with 13 observations. The data reached an all-time high of 161.500 Day in 2007 and a record low of 75.000 Day in 2017. LT: Time Required to Build a Warehouse data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 75.00 2017 | yearly | 2005 - 2017 |
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Lithuania LT: Time Required to Enforce a Contract
LT: Time Required to Enforce a Contract data was reported at 370.000 Day in 2017. This stayed constant from the previous number of 370.000 Day for 2016. LT: Time Required to Enforce a Contract data is updated yearly, averaging 300.000 Day from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 370.000 Day in 2017 and a record low of 210.000 Day in 2008. LT: Time Required to Enforce a Contract data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 370.00 2017 | yearly | 2003 - 2017 |
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Lithuania LT: Time Required to Get Electricity
LT: Time Required to Get Electricity data was reported at 85.000 Day in 2017. This stayed constant from the previous number of 85.000 Day for 2016. LT: Time Required to Get Electricity data is updated yearly, averaging 146.000 Day from Dec 2009 to 2017, with 9 observations. The data reached an all-time high of 148.000 Day in 2010 and a record low of 85.000 Day in 2017. LT: Time Required to Get Electricity data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time required to get electricity is the number of days to obtain a permanent electricity connection. The measure captures the median duration that the electricity utility and experts indicate is necessary in practice, rather than required by law, to complete a procedure.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 85.00 2017 | yearly | 2009 - 2017 |
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Lithuania LT: Time Required to Obtain an Operating License
LT: Time Required to Obtain an Operating License data was reported at 42.700 Day in 2013. This records a decrease from the previous number of 65.400 Day for 2009. LT: Time Required to Obtain an Operating License data is updated yearly, averaging 55.500 Day from Dec 2004 to 2013, with 3 observations. The data reached an all-time high of 65.400 Day in 2009 and a record low of 42.700 Day in 2013. LT: Time Required to Obtain an Operating License data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time required to obtain operating license is the average wait to obtain an operating license from the day the establishment applied for it to the day it was granted.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 42.70 2013 | yearly | 2004 - 2013 |
View Lithuania's Lithuania LT: Time Required to Obtain an Operating License from 2004 to 2013 in the chart:
Lithuania LT: Time Required to Register Property
LT: Time Required to Register Property data was reported at 3.500 Day in 2017. This stayed constant from the previous number of 3.500 Day for 2016. LT: Time Required to Register Property data is updated yearly, averaging 3.750 Day from Dec 2004 to 2017, with 14 observations. The data reached an all-time high of 4.000 Day in 2010 and a record low of 3.500 Day in 2017. LT: Time Required to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time required to register property is the number of calendar days needed for businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 3.50 2017 | yearly | 2004 - 2017 |
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Lithuania LT: Time Required to Start a Business
LT: Time Required to Start a Business data was reported at 5.500 Day in 2017. This stayed constant from the previous number of 5.500 Day for 2016. LT: Time Required to Start a Business data is updated yearly, averaging 22.000 Day from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 26.000 Day in 2009 and a record low of 5.500 Day in 2017. LT: Time Required to Start a Business data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 5.50 2017 | yearly | 2003 - 2017 |
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Lithuania LT: Time Required to Start a Business: Female
LT: Time Required to Start a Business: Female data was reported at 5.500 Day in 2017. This stayed constant from the previous number of 5.500 Day for 2016. LT: Time Required to Start a Business: Female data is updated yearly, averaging 22.000 Day from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 26.000 Day in 2009 and a record low of 5.500 Day in 2017. LT: Time Required to Start a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 5.50 2017 | yearly | 2003 - 2017 |
View Lithuania's Lithuania LT: Time Required to Start a Business: Female from 2003 to 2017 in the chart:
Lithuania LT: Time Required to Start a Business: Male
LT: Time Required to Start a Business: Male data was reported at 5.500 Day in 2017. This stayed constant from the previous number of 5.500 Day for 2016. LT: Time Required to Start a Business: Male data is updated yearly, averaging 22.000 Day from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 26.000 Day in 2009 and a record low of 5.500 Day in 2017. LT: Time Required to Start a Business: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 5.50 2017 | yearly | 2003 - 2017 |
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Lithuania LT: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time
LT: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data was reported at 6.000 % in 2013. This records a decrease from the previous number of 9.300 % for 2009. LT: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data is updated yearly, averaging 6.000 % from Dec 2002 to 2013, with 5 observations. The data reached an all-time high of 25.900 % in 2004 and a record low of 4.600 % in 2005. LT: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time spent dealing with the requirements of government regulations is the proportion of senior management's time, in a typical week, that is spent dealing with the requirements imposed by government regulations (e.g., taxes, customs, labor regulations, licensing and registration, including dealings with officials, and completing forms).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.00 2013 | yearly | 2002 - 2013 |
View Lithuania's Lithuania LT: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time from 2002 to 2013 in the chart:
Lithuania LT: Time to Prepare and Pay Taxes
LT: Time to Prepare and Pay Taxes data was reported at 109.300 Hour in 2017. This records a decrease from the previous number of 171.000 Hour for 2016. LT: Time to Prepare and Pay Taxes data is updated yearly, averaging 171.000 Hour from Dec 2005 to 2017, with 13 observations. The data reached an all-time high of 175.000 Hour in 2013 and a record low of 109.300 Hour in 2017. LT: Time to Prepare and Pay Taxes data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 109.30 2017 | yearly | 2005 - 2017 |
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Lithuania LT: Time to Resolve Insolvency
LT: Time to Resolve Insolvency data was reported at 2.300 Year in 2017. This stayed constant from the previous number of 2.300 Year for 2016. LT: Time to Resolve Insolvency data is updated yearly, averaging 1.800 Year from Dec 2003 to 2017, with 15 observations. The data reached an all-time high of 2.300 Year in 2017 and a record low of 1.500 Year in 2009. LT: Time to Resolve Insolvency data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 2.30 2017 | yearly | 2003 - 2017 |
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Lithuania LT: Total Tax Rate: % of Profit
LT: Total Tax Rate: % of Profit data was reported at 42.700 % in 2017. This records an increase from the previous number of 42.600 % for 2016. LT: Total Tax Rate: % of Profit data is updated yearly, averaging 43.100 % from Dec 2005 to 2017, with 13 observations. The data reached an all-time high of 51.200 % in 2005 and a record low of 42.400 % in 2014. LT: Total Tax Rate: % of Profit data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
| Last | Frequency | Range |
|---|---|---|
| 42.70 2017 | yearly | 2005 - 2017 |
View Lithuania's Lithuania LT: Total Tax Rate: % of Profit from 2005 to 2017 in the chart:
Lithuania LT: Value Lost Due to Electrical Outages: % of Sales for Affected Firms
LT: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data was reported at 0.200 % in 2013. This records a decrease from the previous number of 0.600 % for 2009. LT: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data is updated yearly, averaging 0.400 % from Dec 2009 to 2013, with 2 observations. The data reached an all-time high of 0.600 % in 2009 and a record low of 0.200 % in 2013. LT: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Company Statistics. Average losses due to electrical outages, as percentage of total annual sales. The value represents average losses for all firms which reported outages (please see indicator IC.ELC.OUTG.ZS).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.20 2013 | yearly | 2009 - 2013 |