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According to Cognitive Market Research, the global Financial Data Service market size will be USD 24152.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 9661.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 7245.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5555.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1207.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 483.05 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Datafeed/API solutions are the dominant segment, as they allow seamless data integration into existing systems and platforms, making them ideal for companies requiring real-time data across multiple applications

Market Dynamics of Financial Data Service Market

Key Drivers for Financial Data Service Market

Increased Data-Driven Decision-Making to Boost Market Growth

As digital transformation sweeps through financial services, data-driven decision-making has become essential for businesses to remain competitive. Institutions, both financial and non-financial, are increasingly leveraging financial data to guide strategic investments, manage risks, and streamline operations. By utilizing real-time data and predictive analytics, companies gain actionable insights to optimize their investment portfolios and financial planning. With the enhanced capability to analyze data trends and assess market scenarios, businesses can mitigate risks more effectively, making this driver critical to the growth of the financial data service market. For instance, in September 2022, Alibaba Cloud, the digital technology and intellectual backbone of Alibaba Group launched a comprehensive suite of Alibaba Cloud for Financial Services solutions. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations

Advancements in Analytics Technology to Drive Market Growth

The integration of advanced analytics technologies like artificial intelligence (AI) and machine learning (ML) in financial data services has significantly enhanced the accuracy and scope of market insights. AI and ML enable companies to process vast amounts of financial data, identify patterns, and make predictions, thus facilitating strategic planning and investment optimization. These technologies also allow for real-time insights, giving firms a competitive advantage in rapidly evolving markets. With continuous improvements in AI and ML, the demand for advanced data services is expected to grow, positioning this as a key driver of market expansion.

Restraint Factor for the Financial Data Service Market

High Cost of Data Services, will Limit Market Growth

The high cost associated with premium financial data services is a significant restraint, particularly for small and medium-sized enterprises (SMEs). Many advanced platforms and data feeds come with substantial subscription fees, limiting their accessibility to larger organizations with more considerable budgets. This cost barrier restricts smaller firms from fully integrating advanced data insights into their operations. As a result, high subscription costs prevent widespread adoption among SMEs, hindering the financial data service market’s overall growth potential.

Impact of Covid-19 on the Financial Data Service Market

Covid-19 significantly impacted the Financial Data Service Market as companies increasingly relied on accurate data analytics for rapid decision-making amid market volatility. During the pandemic, financial data providers observed heightened demand for real-time and historical data to model economic scenarios and assess risks accurately. This shift spurred technological advancements a...

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Listing of payments made to vendors. Includes Paid Date, Payee, Amount and the accounting string that describes which fund and organizational department benefited from the transaction. The data contained on this website is for informational purposes only and represents vendor payments for the City of Mesa. The data as represented is unaudited and may contain omissions. For audited financial statements please reference the Comprehensive Annual Financial Report (CAFR). Certain Mesa vendor names have been redacted for confidentiality and safety issues; therefore not all vendor names are represented. Any payments referenced as Personal Services are benefits relevant to payroll but are not specific to employee wages. Prior to May 1, 2014, debt service payments were not recorded as a check payments and are not represented in this data. ASRS and Utility payments are not recorded as check payments and are not represented in this data. Information of a sensitive or secure nature has been flagged as “Redacted”.

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Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Agiplan Financeira S.A. - CFI data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Agiplan Financeira S.A. - CFI data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Agiplan Financeira S.A. - CFI data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB020: Lending Rate: per Month: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Finansinos S.A. Credito Financiamento e Investimento data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Finansinos S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1866 observations. The data reached an all-time high of 70.640 % pa in 15 Jan 2013 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Finansinos S.A. Credito Financiamento e Investimento data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

The global Wealth Management Software market is experiencing robust growth, projected to reach $5.31 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 14.04% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing demand for personalized wealth management solutions, coupled with the rising adoption of digital channels by both financial institutions and high-net-worth individuals, is significantly boosting market growth. Furthermore, stringent regulatory compliance requirements are pushing institutions to adopt sophisticated software solutions to manage risks and ensure operational efficiency. The shift towards cloud-based deployments offers scalability and cost-effectiveness, further accelerating market adoption. Technological advancements, such as Artificial Intelligence (AI) and machine learning (ML) integration for improved portfolio management and risk assessment, are also key contributors to the market's expansion. Competition is intense, with established players like Fiserv, Temenos, and Broadridge alongside innovative fintech companies like Backbase and Avaloq vying for market share. The market segmentation reveals a strong preference for cloud-based deployments, driven by their inherent flexibility and accessibility. Among end-user industries, Banks, Trading Firms, and Brokerage Firms represent the largest market segments, reflecting the critical role of efficient wealth management in their operations. Geographical distribution suggests North America and Europe currently hold the largest market shares, but the Asia-Pacific region is expected to witness significant growth in the coming years, driven by rising disposable incomes and increasing financial literacy. While data privacy concerns and the high initial investment costs associated with implementing new software solutions pose potential restraints, the long-term benefits of enhanced efficiency, improved client service, and regulatory compliance are expected to outweigh these challenges, ensuring continued market growth throughout the forecast period. This in-depth report provides a comprehensive analysis of the global wealth management software market, projecting robust growth from $XXX million in 2025 to $YYY million by 2033. The study covers the historical period (2019-2024), base year (2025), and forecast period (2025-2033), offering invaluable insights for stakeholders across the financial technology landscape. Key market segments, including deployment types (on-premise, cloud), end-user industries (banks, trading firms, brokerage firms, investment management firms, and others), and leading players, are meticulously examined. Recent developments include: March 2023 - WealthTech GBST rebranded and released an improved SaaS Composer wealth management administration software version. In reference to its roots, the company has kept its name while developing a brand strategy and new visual identity based on the updated backronym., July 2022 - FIS, a financial technology company, announced it had enhanced its wealth management solutions by expanding and enhancing its self-invested personal pension (SIPP) servicing in the United Kingdom., April 2022 - HCL Technologies (HCL) expanded its global partnership with Avaloq, a provider of digital banking solutions, to develop a lifecycle management center for digital wealth management. This partnership will enable more financial institutions to leverage Avaloq's innovative technology., March 2022 - SHUAA Capital PSC, the asset management and investment banking platform in the Middle East, completed a strategic investment in UAE-based fintech, Souqalmal. The acquisition will provide growth capital, allowing Souqalmal to execute an ambitious growth plan over the next 24 months.. Key drivers for this market are: Rising Need to Integrate Business Capabilities and Channels in the Wealth Management Process, Requirement of Customer-centric Business Priorities, such as Fully Digitized Client Onboarding. Potential restraints include: Lack of Awareness Related to Wealth Management Platforms and Higher Dependency on Traditional Methods. Notable trends are: Investment Management Firms are Expected to Drive Market Growth.

Payment Statistics Quarterly. Published by Central Bank of Ireland. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Payment Statistics Quarterly is reported by payment service providers, it records non-cash payments by non-monetary financial institutions which include Credit Transfers, Direct Debits, Card based Payment Transactions, E-money Transactions and Cheques....

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: BIORC CFI data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: BIORC CFI data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 0.000 % pa in 03 Jul 2019 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: BIORC CFI data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series. The Data Collection Board (DCB) has now approved the decommissioning of the interim collection of Early Intervention in Psychosis (EIP) waiting times information, known as NHS England Unify Collection within this publication. Waiting times for EIP for October 2019 activity onwards are now monitored using data from the Mental Health Services Data Set (MHSDS). From April 2020 NHS Digital is implementing a multiple submission window model for MHSDS which will enable the resubmission of data throughout the financial year. Following the implementation of the multiple submission window model providers will optionally be able to submit/resubmit data for each month of 2019-20 from April 2020 to 21 May 2020. The opportunity to resubmit data for each month of 2019-20 will impact on the statistics already published for the 2019-20 year. It is likely that the statistics for each month will be republished; however the publication method is as yet undecided and will be proportionate to the changes; further details will be communicated closer to the time. Please be aware of the potential impact of the multiple submission window model on previously published data and use these statistics with reference to it. Further information can be found on the NHS Digital Multiple submission window model for MHSDS webpage linked below. Women in contact with mental health services who were new or expectant mothers analysis was added to this publication 08 June 2020. From April 2020 onwards, NHS Digital has been implementing a multiple submission window model (MSWM) for MHSDS. This allows providers to retrospectively submit data for a specific reporting period once the initial provisional and performance submission windows have closed. For a limited time, providers were given the opportunity to submit revised monthly data for all months within 2019/20 using the MSWM. As of January 2021, NHS Digital has now released revised 'End of Year' versions of the main monthly csv files for each month between April 2019 and February 2020 which reflect these revised 2019/20 MSWM submissions that occurred after 'Final' monthly data had already been published. Both the 'Final' and 'End of Year' versions of the main monthly csv files are available to download under 'Resources'. The key facts corresponding to both versions are also presented below.

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Gazincred S.A. SCFI data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Gazincred S.A. SCFI data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 560.330 % pa in 12 Dec 2012 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Gazincred S.A. SCFI data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Abstract

[Extracted from Source http://www.customs.gov.lk]

Sri Lanka Customs is one of the oldest Government Departments, established in the year 1806. With the introduction of Customs Ordinance, it developed into a full-fledged state organization mainly responsible for the collection of revenue and the enforcement of Customs law. The functions of Customs Department include:

Collection of taxes, duties and other levies as imposed by the government Enforcement of tariff, trade and social protection policies of the state Ensuring flow of passenger, goods and related means of transport

Basically any type of general statistics what is published by Customs Department are released to the public. For example quantity, value and country of origin for any commodity imported or exported are released without any restriction. However Trade information of any importer or exporter are not released to a third party.

Processing of Customs Statistics is a continuous Administrative Record Keeping operation which the Data Processing Division of the Department of Census and Statistics had been handling on behalf of Sri Lanka Customs. The processed data are available in annual files (one magnetic file for each year) at the DP Division From 1974.

The customs statistics processed using the microdata are of enormous importance specially to Importers and Exporters of Sri lanka. The data in respect of customs microdata are extracted from the Cusdec forms received by the Sri Lanka Customs as applications to transfer goods between Sri Lanka and other countries by the importers and exporters. The Cusdec form has gone through many changes with respect to the introduction/abolition of various taxes following the Government Budget directions. The microdata format, therefore has been altered to accommodate the changes whenever the need arose.

Geographic coverage

National coverage

The Department of Sri lanka Customs has offices geographically scattered in the island, such as the Ports, Air Ports, Free Trade Zones and other points along the sea belt.

Analysis unit

Each import/export item

Universe

All Importers, Exporters and Re-exporters who transfer goods between Sri Lanka and other countries.

Kind of data

Administrative records data [adm]

Mode of data collection

Other [oth]

Research instrument

CusDec Information (Source www.customs.gov.lk as at 30th March 2009)

Box - A : Office use This area is only for office use, Customs clearance office at which the declaration is made and the documents are produced; Manifest reference, Customs reference number and Date will be given by officials as necessary

Cage No 01 : Declaration Type of declaration. All possible types of declaration (models of declaration) are shown in ACCESS guide IV; Chapter 3.

Cage No 02 : Exporter & TIN For Exports, Exporter in Sri Lanka, his/her name, address and VAT Number . For Importers, foreign suppliers name and address. As for foreigners not registered with Customs, VAT number is not applicable.

Cage No 03 : Pages Number of pages of the CusDec. the first potion is for its own page number and the next potion is for the total number of pages.

Cage No 04 : List Number of loading lists that come under one consignment. This cage is optional.

Cage No 05 : Items Total number of items of the Declaration.

Cage No 06 : Total Packages Total number of packages for the Declaration. Types of packages are not considered. Total number of packages may be consisted of different types of packages. The total must agree with the aggregate total number of packages for the items.

Cage No 07 : Declarant's Sequence Number System allocates a serial number for each CusDec submitted by a given declarant, which is unique for a year. Declarants are not required to fill this cage.

Cage No 08 : Consignee & VAT No For exports, name and address of the foreign consinee is entered but VAT number is not required. For imports, name, address & the VAT number of the consignee (importer in Sri Lanka) ahould be entered as shown in the documents.

Cage No 09 : Person responsible for financial statement & VAT Name, address and the VAT number (if applicable) of the person who is given authority by the consignee for financial setlement on behalf of the importer.

Cage No 10 : Country of Consignment/Country of first destination In case of imports, name and the code of the country from where the cargo had been shipped whereas for exports country of first destination.

Cage No 11 : Trading Country The name and the code of the country with which the financial transactions effected.

Cage No 12 : Value details If the FOB is used as the terms of payment, aggregate total of freight, insurance and other charges declared in local currency.

Cage No 13 : Reserved for future use

Cage No 14 : Declarant / Representative & VAT Name and address of the Declarant and his VAT number. The declarant is the person who lodge the declaration . He/She should be a "Registered Customs House Agent", acting with authority, on behalf of the importer / exporter.

Cage No 15 : Country of export / export code The name and the code of the country from where the cargo had been exported.

Cage No 16 : Country of origin The name of the country from where the cargo has originated (for example "Sri Lanka" can be entered for exports or local products). It is possible that a single shipment main contain commodities originating from more than one country, in which case the country from where the majority of commodities originated should be declared here.

Cage No 17 & 17A : Country of Destination/ Destination Code The name and the code of the country to which the cargo is sent. Ultimate destination ( this will be used for export or transit declaration only).

Cage No 18 : Vessel/Flight & Flag Name of the vessel or flight in which the cargo is imported or is to be exported. Flag is the country code that represents the nationality of the vessel/filight.

Cage No 19 : FCL (Container flag) This flag indicates whether the goods are containerized or not. For containerized goods the flag shold be set to 1 while for non containerized it should be set to 0.

Cage No 20 : Delivery terms Terms manually agreed upon by buyer and the seller in the international market in delivering or supplying the goods of import/export, are known as the term of delivery. The generally accepted terms of delivery fro Customs duty purposes are CIF (Cost, Insurance and Freight) for imports and FOB (Free on board) for exports, but the actual term of payment agreed upon by the buyer and seller may differ. (Please select the appropriate code from chapter 5 of ACCESS Guide IV).

Cage No 21 : Voyage No & Date Voyage number of the vessel/flight No. in which cargo is imported or to be exported and its date of arrival /departure.

Cage No 22 : Currency and total amount invoiced The first part of the cargo is for the code of currency in which the values are declared in the commercial invoice. The second part is for the total amount (CIF/FOB etc.) invoiced. If the value declared is FOB, the freight, insurance, and other charges should be declared in cage 6.

Cage No 23 : Exchange rate Current rate of exchange for the declared currency.

Cage No 24 : Nature of transaction Reserved for future use.

Cage No 25 : Mode of transport Code applicable to the mode of transport. In Sri Lanka, the mode of transport can only be Air, Sea or Posr (see chapter 6 of the ACCESS Guide IV).

Cage No 26 : Inland mode of transport Reserved for future use.

Cage No 27 : Place of loading/discharging Name of the port in Sri Lanka, at which the cargo is loaded/discharged.

Cage No 28 : Financial and banking data Bank Code Code of the bank through which the importer/exporter negotiates payment with the foreign supplier/buyer for the particular importation/exportation (see chapter 7 of the ACCESS Guide IV).

Terms of Payment terms mutually agreed upon by the buyer and the seller in the international market in makin the payment for supplying the goods for Import/Export. Only the terms of payments approved by the Controller of Exchange are permitted to be used for the means of transaction. i.e. Letter of Credit, DP terms, etc. (see chapter 4 of the ACCESS Guide IV).

Cage No 28A : Bank Name/Branch Name/Ref. No. Bank Name Name of the bank that represents the bank code in the cage number 28.

Branch Code Code of the bank branch given by the Central bank (see chapter 7 of the ACCESS Guide IV).

Reference Number Reference number

Cage No 29 : Office of Entry/Exit Code of Customs office at which the declaration (import/export) is made and documents are processed. These codes are known as Clearance Office Codes ( seechapter 2 of ACCESS Guide IV).

Cage No 30 : Location of goods The warehouse (Transit sheds) in which the cargo is kept until release from Customs charge ( This is not a mandatory input).

Cage No 31 : Package and description of goods Marks and Numbers Identification marks of the packages. The characters available in a type writer (key board) can only be used as marks and numbers.Initials or the abbreviated name of the consignee, country of destination, a reference number as agreed between the buyer and seller (if any) or the serial number of the package are the most common marks and numbers which are used in the International Trade.

Container No(s) If a particular consignment comes as a Full Container Load (FCL - Containerised cargo), its related container numbers should be declared in this cage. In the same time, cage number 19 should be set to 1 to indicate that the cargo is containerised.

Number and Kind Number of packages and the code of package type (see chapter 8 of the ACCESS Giude IV).

Description of goods Description of the commodity. Make sure to

Abstract

[Extracted from Source http://www.customs.gov.lk]

Sri Lanka Customs is one of the oldest Government Departments, established in the year 1806. With the introduction of Customs Ordinance, it developed into a full-fledged state organization mainly responsible for the collection of revenue and the enforcement of Customs law. The functions of Customs Department include:

Collection of taxes, duties and other levies as imposed by the government Enforcement of tariff, trade and social protection policies of the state Ensuring flow of passenger, goods and related means of transport

Basically any type of general statistics what is published by Customs Department are released to the public. For example quantity, value and country of origin for any commodity imported or exported are released without any restriction. However Trade information of any importer or exporter are not released to a third party.

Processing of Customs Statistics is a continuous Administrative Record Keeping operation which the Data Processing Division of the Department of Census and Statistics had been handling on behalf of Sri Lanka Customs. The processed data are available in annual files (one magnetic file for each year) at the DP Division From 1974.

The customs statistics processed using the microdata are of enormous importance specially to Importers and Exporters of Sri Lanka. The data in respect of customs microdata are extracted from the Cusdec forms received by the Sri Lanka Customs as applications to transfer goods between Sri Lanka and other countries by the importers and exporters. The Cusdec form has gone through many changes with respect to the introduction/abolition of various taxes following the Government Budget directions. The microdata format, therefore has been altered to accommodate the changes whenever the need arose.

Geographic coverage

National coverage

The Department of Sri lanka Customs has offices geographically scattered in the island, such as the Ports, Air Ports, Free Trade Zones and other points along the sea belt.

Analysis unit

Each import/export item

Universe

All Importers, Exporters and Re-exporters who transfer goods between Sri Lanka and other countries.

Kind of data

Administrative records data [adm]

Mode of data collection

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CusDec Information (Source www.customs.gov.lk as at 30th March 2009)

Box - A : Office use This area is only for office use, Customs clearance office at which the declaration is made and the documents are produced; Manifest reference, Customs reference number and Date will be given by officials as necessary

Cage No 01 : Declaration Type of declaration. All possible types of declaration (models of declaration) are shown in ACCESS guide IV; Chapter 3.

Cage No 02 : Exporter & TIN For Exports, Exporter in Sri Lanka, his/her name, address and VAT Number . For Importers, foreign suppliers name and address. As for foreigners not registered with Customs, VAT number is not applicable.

Cage No 03 : Pages Number of pages of the CusDec. the first potion is for its own page number and the next potion is for the total number of pages.

Cage No 04 : List Number of loading lists that come under one consignment. This cage is optional.

Cage No 05 : Items Total number of items of the Declaration.

Cage No 06 : Total Packages Total number of packages for the Declaration. Types of packages are not considered. Total number of packages may be consisted of different types of packages. The total must agree with the aggregate total number of packages for the items.

Cage No 07 : Declarant's Sequence Number System allocates a serial number for each CusDec submitted by a given declarant, which is unique for a year. Declarants are not required to fill this cage.

Cage No 08 : Consignee & VAT No For exports, name and address of the foreign consinee is entered but VAT number is not required. For imports, name, address & the VAT number of the consignee (importer in Sri Lanka) ahould be entered as shown in the documents.

Cage No 09 : Person responsible for financial statement & VAT Name, address and the VAT number (if applicable) of the person who is given authority by the consignee for financial setlement on behalf of the importer.

Cage No 10 : Country of Consignment/Country of first destination In case of imports, name and the code of the country from where the cargo had been shipped whereas for exports country of first destination.

Cage No 11 : Trading Country The name and the code of the country with which the financial transactions effected.

Cage No 12 : Value details If the FOB is used as the terms of payment, aggregate total of freight, insurance and other charges declared in local currency.

Cage No 13 : Reserved for future use

Cage No 14 : Declarant / Representative & VAT Name and address of the Declarant and his VAT number. The declarant is the person who lodge the declaration . He/She should be a "Registered Customs House Agent", acting with authority, on behalf of the importer / exporter.

Cage No 15 : Country of export / export code The name and the code of the country from where the cargo had been exported.

Cage No 16 : Country of origin The name of the country from where the cargo has originated (for example "Sri Lanka" can be entered for exports or local products). It is possible that a single shipment main contain commodities originating from more than one country, in which case the country from where the majority of commodities originated should be declared here.

Cage No 17 & 17A : Country of Destination/ Destination Code The name and the code of the country to which the cargo is sent. Ultimate destination ( this will be used for export or transit declaration only).

Cage No 18 : Vessel/Flight & Flag Name of the vessel or flight in which the cargo is imported or is to be exported. Flag is the country code that represents the nationality of the vessel/filight.

Cage No 19 : FCL (Container flag) This flag indicates whether the goods are containerized or not. For containerized goods the flag shold be set to 1 while for non containerized it should be set to 0.

Cage No 20 : Delivery terms Terms manually agreed upon by buyer and the seller in the international market in delivering or supplying the goods of import/export, are known as the term of delivery. The generally accepted terms of delivery fro Customs duty purposes are CIF (Cost, Insurance and Freight) for imports and FOB (Free on board) for exports, but the actual term of payment agreed upon by the buyer and seller may differ. (Please select the appropriate code from chapter 5 of ACCESS Guide IV).

Cage No 21 : Voyage No & Date Voyage number of the vessel/flight No. in which cargo is imported or to be exported and its date of arrival /departure.

Cage No 22 : Currency and total amount invoiced The first part of the cargo is for the code of currency in which the values are declared in the commercial invoice. The second part is for the total amount (CIF/FOB etc.) invoiced. If the value declared is FOB, the freight, insurance, and other charges should be declared in cage 6.

Cage No 23 : Exchange rate Current rate of exchange for the declared currency.

Cage No 24 : Nature of transaction Reserved for future use.

Cage No 25 : Mode of transport Code applicable to the mode of transport. In Sri Lanka, the mode of transport can only be Air, Sea or Posr (see chapter 6 of the ACCESS Guide IV).

Cage No 26 : Inland mode of transport Reserved for future use.

Cage No 27 : Place of loading/discharging Name of the port in Sri Lanka, at which the cargo is loaded/discharged.

Cage No 28 : Financial and banking data Bank Code Code of the bank through which the importer/exporter negotiates payment with the foreign supplier/buyer for the particular importation/exportation (see chapter 7 of the ACCESS Guide IV).

Terms of Payment terms mutually agreed upon by the buyer and the seller in the international market in makin the payment for supplying the goods for Import/Export. Only the terms of payments approved by the Controller of Exchange are permitted to be used for the means of transaction. i.e. Letter of Credit, DP terms, etc. (see chapter 4 of the ACCESS Guide IV).

Cage No 28A : Bank Name/Branch Name/Ref. No. Bank Name Name of the bank that represents the bank code in the cage number 28.

Branch Code Code of the bank branch given by the Central bank (see chapter 7 of the ACCESS Guide IV).

Reference Number Reference number

Cage No 29 : Office of Entry/Exit Code of Customs office at which the declaration (import/export) is made and documents are processed. These codes are known as Clearance Office Codes ( seechapter 2 of ACCESS Guide IV).

Cage No 30 : Location of goods The warehouse (Transit sheds) in which the cargo is kept until release from Customs charge ( This is not a mandatory input).

Cage No 31 : Package and description of goods Marks and Numbers Identification marks of the packages. The characters available in a type writer (key board) can only be used as marks and numbers.Initials or the abbreviated name of the consignee, country of destination, a reference number as agreed between the buyer and seller (if any) or the serial number of the package are the most common marks and numbers which are used in the International Trade.

Container No(s) If a particular consignment comes as a Full Container Load (FCL - Containerised cargo), its related container numbers should be declared in this cage. In the same time, cage number 19 should be set to 1 to indicate that the cargo is containerised.

Number and Kind Number of packages and the code of package type (see chapter 8 of the ACCESS Giude IV).

Description of goods Description of the commodity. Make sure to

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Caixa Economica Federal data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Caixa Economica Federal data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1866 observations. The data reached an all-time high of 23.780 % pa in 02 Jun 2012 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Caixa Economica Federal data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Cetelem Brasil S.A. Credito Financiamento e Investimento data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Cetelem Brasil S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 0.000 % pa in 03 Jul 2019 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Cetelem Brasil S.A. Credito Financiamento e Investimento data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Banco Bradescard S.A. data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Banco Bradescard S.A. data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 0.000 % pa in 03 Jul 2019 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Pre-Fixed: Corporate Entities: Vendor: Banco Bradescard S.A. data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB045: Lending Rate: per Annum: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Banco Capital S.A. data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Banco Capital S.A. data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1866 observations. The data reached an all-time high of 3.550 % per Month in 20 Jun 2012 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Banco Capital S.A. data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB020: Lending Rate: per Month: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Banco GMAC S.A. data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Banco GMAC S.A. data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1865 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Lending Rate: per Month: Pre-Fixed: Corporate Entities: Vendor: Banco GMAC S.A. data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB020: Lending Rate: per Month: by Banks: Pre-Fixed: Corporate Entities: Vendor. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this