Myanmar Company Statistics
Myanmar MM: Average Time to Clear Exports Through Customs
MM: Average Time to Clear Exports Through Customs data was reported at 10.200 Day in 2016. This records an increase from the previous number of 4.400 Day for 2014. MM: Average Time to Clear Exports Through Customs data is updated yearly, averaging 7.300 Day from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 10.200 Day in 2016 and a record low of 4.400 Day in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 10.20 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Average Time to Clear Exports Through Customs from 2014 to 2016 in the chart:
Myanmar MM: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request
MM: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request data was reported at 29.300 % in 2016. This records a decrease from the previous number of 42.900 % for 2014. MM: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request data is updated yearly, averaging 36.100 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 42.900 % in 2014 and a record low of 29.300 % in 2016. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 29.30 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Bribery Incidence: % of Firms Experiencing at Least One Bribe Payment Request from 2014 to 2016 in the chart:
Myanmar MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female
MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data was reported at 40.100 % in 2017. This records a decrease from the previous number of 41.100 % for 2016. MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data is updated yearly, averaging 118.800 % from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 157.700 % in 2012 and a record low of 40.100 % in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 40.10 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female from 2012 to 2017 in the chart:
Myanmar MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male
MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data was reported at 40.100 % in 2017. This records a decrease from the previous number of 41.100 % for 2016. MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male data is updated yearly, averaging 118.800 % from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 157.700 % in 2012 and a record low of 40.100 % in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 40.10 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Cost of Business Start-Up Procedures: % of GNI Per Capita: Male from 2012 to 2017 in the chart:
Myanmar MM: Cost of Business Start-Up Procedures: % of GNI per Capita
MM: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 40.100 % in 2017. This records a decrease from the previous number of 41.100 % for 2016. MM: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 118.800 % from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 157.700 % in 2012 and a record low of 40.100 % in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 40.10 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Cost of Business Start-Up Procedures: % of GNI per Capita from 2012 to 2017 in the chart:
Myanmar MM: Cost to Exports: USD per Container
MM: Cost to Exports: USD per Container data was reported at 620.000 USD in 2014. This records a decrease from the previous number of 670.000 USD for 2013. MM: Cost to Exports: USD per Container data is updated yearly, averaging 670.000 USD from Dec 2012 to 2014, with 3 observations. The data reached an all-time high of 670.000 USD in 2013 and a record low of 620.000 USD in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 620.00 2014 | yearly | 2012 - 2014 |
View Myanmar's Myanmar MM: Cost to Exports: USD per Container from 2012 to 2014 in the chart:
Myanmar MM: Cost to Imports: USD per Container
MM: Cost to Imports: USD per Container data was reported at 610.000 USD in 2014. This records a decrease from the previous number of 660.000 USD for 2013. MM: Cost to Imports: USD per Container data is updated yearly, averaging 660.000 USD from Dec 2012 to 2014, with 3 observations. The data reached an all-time high of 660.000 USD in 2013 and a record low of 610.000 USD in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 610.00 2014 | yearly | 2012 - 2014 |
View Myanmar's Myanmar MM: Cost to Imports: USD per Container from 2012 to 2014 in the chart:
Myanmar MM: Firm with Female Top Manager: % of Firms
MM: Firm with Female Top Manager: % of Firms data was reported at 41.100 % in 2016. This records an increase from the previous number of 29.500 % for 2014. MM: Firm with Female Top Manager: % of Firms data is updated yearly, averaging 35.300 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 41.100 % in 2016 and a record low of 29.500 % in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 41.10 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firm with Female Top Manager: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms Competing Against Unregistered Firms: % of Firms
MM: Firms Competing Against Unregistered Firms: % of Firms data was reported at 31.500 % in 2016. This records an increase from the previous number of 31.200 % for 2014. MM: Firms Competing Against Unregistered Firms: % of Firms data is updated yearly, averaging 31.350 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 31.500 % in 2016 and a record low of 31.200 % in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 31.50 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms Competing Against Unregistered Firms: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms
MM: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms data was reported at 13.100 % in 2016. This records an increase from the previous number of 7.400 % for 2014. MM: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms data is updated yearly, averaging 10.250 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 13.100 % in 2016 and a record low of 7.400 % in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 13.10 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms Experiencing Losses Due To Theft and Vandalism: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms Formally Registered When Operations Started: % of Firms
MM: Firms Formally Registered When Operations Started: % of Firms data was reported at 79.100 % in 2016. This records a decrease from the previous number of 88.400 % for 2014. MM: Firms Formally Registered When Operations Started: % of Firms data is updated yearly, averaging 83.750 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 88.400 % in 2014 and a record low of 79.100 % in 2016. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 79.10 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms Formally Registered When Operations Started: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms Offering Formal Training: % of Firms
MM: Firms Offering Formal Training: % of Firms data was reported at 5.900 % in 2016. This records a decrease from the previous number of 15.100 % for 2014. MM: Firms Offering Formal Training: % of Firms data is updated yearly, averaging 10.500 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 15.100 % in 2014 and a record low of 5.900 % in 2016. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 5.90 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms Offering Formal Training: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms That Spend On R&D: % of Firms
MM: Firms That Spend On R&D: % of Firms data was reported at 1.300 % in 2016. This records a decrease from the previous number of 1.800 % for 2014. MM: Firms That Spend On R&D: % of Firms data is updated yearly, averaging 1.550 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 1.800 % in 2014 and a record low of 1.300 % in 2016. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 1.30 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms That Spend On R&D: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms Visited or Required Meetings with Tax Officials: % of Firms
MM: Firms Visited or Required Meetings with Tax Officials: % of Firms data was reported at 51.300 % in 2016. This records a decrease from the previous number of 64.500 % for 2014. MM: Firms Visited or Required Meetings with Tax Officials: % of Firms data is updated yearly, averaging 57.900 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 64.500 % in 2014 and a record low of 51.300 % in 2016. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 51.30 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms Visited or Required Meetings with Tax Officials: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms using Banks to Finance Investment: % of Firms
MM: Firms using Banks to Finance Investment: % of Firms data was reported at 7.100 % in 2016. This records an increase from the previous number of 2.800 % for 2014. MM: Firms using Banks to Finance Investment: % of Firms data is updated yearly, averaging 4.950 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 7.100 % in 2016 and a record low of 2.800 % in 2014. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 7.10 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms using Banks to Finance Investment: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms using Banks to Finance Working Capital: % of Firms
MM: Firms using Banks to Finance Working Capital: % of Firms data was reported at 11.200 % in 2016. This records an increase from the previous number of 4.700 % for 2014. MM: Firms using Banks to Finance Working Capital: % of Firms data is updated yearly, averaging 7.950 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 11.200 % in 2016 and a record low of 4.700 % in 2014. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 11.20 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms using Banks to Finance Working Capital: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Firms with Female Participation in Ownership: % of Firms
MM: Firms with Female Participation in Ownership: % of Firms data was reported at 35.100 % in 2016. This records an increase from the previous number of 27.300 % for 2014. MM: Firms with Female Participation in Ownership: % of Firms data is updated yearly, averaging 31.200 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 35.100 % in 2016 and a record low of 27.300 % in 2014. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 35.10 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Firms with Female Participation in Ownership: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Informal Payments to Public Officials: % of Firms
MM: Informal Payments to Public Officials: % of Firms data was reported at 16.500 % in 2016. This records a decrease from the previous number of 26.800 % for 2014. MM: Informal Payments to Public Officials: % of Firms data is updated yearly, averaging 21.650 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 26.800 % in 2014 and a record low of 16.500 % in 2016. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 16.50 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Informal Payments to Public Officials: % of Firms from 2014 to 2016 in the chart:
Myanmar MM: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms
MM: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data was reported at 1.100 % in 2016. This records an increase from the previous number of 0.900 % for 2014. MM: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data is updated yearly, averaging 1.000 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 1.100 % in 2016 and a record low of 0.900 % in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 1.10 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms from 2014 to 2016 in the chart:
Myanmar MM: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms
MM: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data was reported at 1.800 NA in 2016. This records a decrease from the previous number of 2.100 NA for 2014. MM: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data is updated yearly, averaging 1.950 NA from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 2.100 NA in 2014 and a record low of 1.800 NA in 2016. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 1.80 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms from 2014 to 2016 in the chart:
Myanmar MM: Procedures to Build a Warehouse
MM: Procedures to Build a Warehouse data was reported at 15.000 Number in 2017. This stayed constant from the previous number of 15.000 Number for 2016. MM: Procedures to Build a Warehouse data is updated yearly, averaging 15.000 Number from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 15.000 Number in 2017 and a record low of 15.000 Number in 2017. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 15.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Procedures to Build a Warehouse from 2012 to 2017 in the chart:
Myanmar MM: Procedures to Register Property
MM: Procedures to Register Property data was reported at 6.000 Number in 2017. This stayed constant from the previous number of 6.000 Number for 2016. MM: Procedures to Register Property data is updated yearly, averaging 6.000 Number from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 6.000 Number in 2017 and a record low of 6.000 Number in 2017. MM: Procedures to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 6.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Procedures to Register Property from 2012 to 2017 in the chart:
Myanmar MM: Start-Up Procedures to Register a Business
MM: Start-Up Procedures to Register a Business data was reported at 12.000 Number in 2017. This stayed constant from the previous number of 12.000 Number for 2016. MM: Start-Up Procedures to Register a Business data is updated yearly, averaging 14.500 Number from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 15.000 Number in 2014 and a record low of 12.000 Number in 2017. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 12.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Start-Up Procedures to Register a Business from 2012 to 2017 in the chart:
Myanmar MM: Start-Up Procedures to Register a Business: Female
MM: Start-Up Procedures to Register a Business: Female data was reported at 12.000 Number in 2017. This stayed constant from the previous number of 12.000 Number for 2016. MM: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 14.500 Number from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 15.000 Number in 2014 and a record low of 12.000 Number in 2017. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 12.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Start-Up Procedures to Register a Business: Female from 2012 to 2017 in the chart:
Myanmar MM: Start-Up Procedures to Register a Business: Male
MM: Start-Up Procedures to Register a Business: Male data was reported at 12.000 Number in 2017. This stayed constant from the previous number of 12.000 Number for 2016. MM: Start-Up Procedures to Register a Business: Male data is updated yearly, averaging 14.500 Number from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 15.000 Number in 2014 and a record low of 12.000 Number in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 12.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Start-Up Procedures to Register a Business: Male from 2012 to 2017 in the chart:
Myanmar MM: Tax Payments
MM: Tax Payments data was reported at 31.000 Number in 2017. This stayed constant from the previous number of 31.000 Number for 2016. MM: Tax Payments data is updated yearly, averaging 31.000 Number from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 31.000 Number in 2017 and a record low of 31.000 Number in 2017. MM: Tax Payments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 31.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Tax Payments from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Build a Warehouse
MM: Time Required to Build a Warehouse data was reported at 95.000 Day in 2017. This stayed constant from the previous number of 95.000 Day for 2016. MM: Time Required to Build a Warehouse data is updated yearly, averaging 95.000 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 95.000 Day in 2017 and a record low of 95.000 Day in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 95.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Build a Warehouse from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Enforce a Contract
MM: Time Required to Enforce a Contract data was reported at 1,160.000 Day in 2017. This stayed constant from the previous number of 1,160.000 Day for 2016. MM: Time Required to Enforce a Contract data is updated yearly, averaging 1,160.000 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 1,160.000 Day in 2017 and a record low of 1,160.000 Day in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 1,160.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Enforce a Contract from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Get Electricity
MM: Time Required to Get Electricity data was reported at 77.000 Day in 2017. This stayed constant from the previous number of 77.000 Day for 2016. MM: Time Required to Get Electricity data is updated yearly, averaging 87.500 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 98.000 Day in 2014 and a record low of 77.000 Day in 2017. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 77.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Get Electricity from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Obtain an Operating License
MM: Time Required to Obtain an Operating License data was reported at 39.200 Day in 2016. This records an increase from the previous number of 26.600 Day for 2014. MM: Time Required to Obtain an Operating License data is updated yearly, averaging 32.900 Day from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 39.200 Day in 2016 and a record low of 26.600 Day in 2014. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 39.20 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Time Required to Obtain an Operating License from 2014 to 2016 in the chart:
Myanmar MM: Time Required to Register Property
MM: Time Required to Register Property data was reported at 85.000 Day in 2017. This stayed constant from the previous number of 85.000 Day for 2016. MM: Time Required to Register Property data is updated yearly, averaging 85.000 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 85.000 Day in 2017 and a record low of 85.000 Day in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 85.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Register Property from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Start a Business
MM: Time Required to Start a Business data was reported at 14.000 Day in 2017. This stayed constant from the previous number of 14.000 Day for 2016. MM: Time Required to Start a Business data is updated yearly, averaging 46.500 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 77.000 Day in 2014 and a record low of 14.000 Day in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 14.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Start a Business from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Start a Business: Female
MM: Time Required to Start a Business: Female data was reported at 14.000 Day in 2017. This stayed constant from the previous number of 14.000 Day for 2016. MM: Time Required to Start a Business: Female data is updated yearly, averaging 46.500 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 77.000 Day in 2014 and a record low of 14.000 Day in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 14.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Start a Business: Female from 2012 to 2017 in the chart:
Myanmar MM: Time Required to Start a Business: Male
MM: Time Required to Start a Business: Male data was reported at 14.000 Day in 2017. This stayed constant from the previous number of 14.000 Day for 2016. MM: Time Required to Start a Business: Male data is updated yearly, averaging 46.500 Day from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 77.000 Day in 2014 and a record low of 14.000 Day in 2017. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 14.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time Required to Start a Business: Male from 2012 to 2017 in the chart:
Myanmar MM: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time
MM: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data was reported at 0.800 % in 2016. This records a decrease from the previous number of 2.000 % for 2014. MM: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time data is updated yearly, averaging 1.400 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 2.000 % in 2014 and a record low of 0.800 % in 2016. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 0.80 2016 | yearly | 2014 - 2016 |
View Myanmar's Myanmar MM: Time Spent Dealing with the Requirements of Government Regulations: % of Senior Management Time from 2014 to 2016 in the chart:
Myanmar MM: Time to Prepare and Pay Taxes
MM: Time to Prepare and Pay Taxes data was reported at 282.000 Hour in 2017. This stayed constant from the previous number of 282.000 Hour for 2016. MM: Time to Prepare and Pay Taxes data is updated yearly, averaging 257.250 Hour from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 282.000 Hour in 2017 and a record low of 240.500 Hour in 2014. MM: 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 Myanmar – Table MM.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 |
|---|---|---|
| 282.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time to Prepare and Pay Taxes from 2012 to 2017 in the chart:
Myanmar MM: Time to Resolve Insolvency
MM: Time to Resolve Insolvency data was reported at 5.000 Year in 2017. This stayed constant from the previous number of 5.000 Year for 2016. MM: Time to Resolve Insolvency data is updated yearly, averaging 5.000 Year from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 5.000 Year in 2017 and a record low of 5.000 Year in 2017. MM: Time to Resolve Insolvency data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Myanmar – Table MM.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 |
|---|---|---|
| 5.00 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Time to Resolve Insolvency from 2012 to 2017 in the chart:
Myanmar MM: Total Tax Rate: % of Profit
MM: Total Tax Rate: % of Profit data was reported at 31.200 % in 2017. This records a decrease from the previous number of 31.900 % for 2016. MM: Total Tax Rate: % of Profit data is updated yearly, averaging 33.550 % from Dec 2012 to 2017, with 6 observations. The data reached an all-time high of 39.500 % in 2012 and a record low of 31.200 % in 2017. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 31.20 2017 | yearly | 2012 - 2017 |
View Myanmar's Myanmar MM: Total Tax Rate: % of Profit from 2012 to 2017 in the chart:
Myanmar MM: Value Lost Due to Electrical Outages: % of Sales for Affected Firms
MM: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data was reported at 2.500 % in 2016. This stayed constant from the previous number of 2.500 % for 2014. MM: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data is updated yearly, averaging 2.500 % from Dec 2014 to 2016, with 2 observations. The data reached an all-time high of 2.500 % in 2016 and a record low of 2.500 % in 2016. MM: 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 Myanmar – Table MM.World Bank.WDI: 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 |
|---|---|---|
| 2.50 2016 | yearly | 2014 - 2016 |