Financial Development and Structure

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The Financial Development and Structure dataset updated in November 2013 contains data from 1960 through 2011. Similar to its previous, April 2013 version, the revised dataset covers 203 jurisdictions and it is a subset of the broader Global Financial Development Database.

All indicators have been recalculated for the entire time period to ensure higher quality and consistency over time. The file contains a sheet with definitions and sources. For more detailed definitions and descriptions of the underlying sources, please see the working papers below.

Amin Mohseni-Cheraghlou and Subika Farazi were instrumental in this update.

An additional compressed file contains files with macroeconomic and institutional data averaged over the period 1980-95 that have been used as dependent or controlling variables by some of the authors in recent papers. To access the compressed file please click on this self-extracting zip file: download the file, do a File, Run, and the files will be extracted.

Beck, Demirgüç-Kunt, and Levine (2000) describe the sources and construction of, and the intuition behind, different indicators and present descriptive statistics of the Financial Development and Structure dataset.

Čihák, Demirgüç-Kunt, Feyen, and Levine (2012) discuss the related Global Financial Development Database, which encompasses all the statistics from the Financial Development and Structure dataset, plus several additional series.

Type: 
Time Series
Topics: 
Financial Sector Development
Macroeconomic and Structural Policies
Private Sector Development
Economy Coverage: 
High Income
IBRD
IDA
Low Income
Languages Supported: 
English
Number of Economies: 
205
Geographical Coverage: 
World
Access Options:
Download
Temporal Coverage: 
1960 - 2010

Last Updated

Last Updated: 
July 17, 2017
EXCEL ZIP

Dataset

The Financial Development and Structure dataset updated in November 2013 contains data from 1960 through 2011. Similar to its previous, April 2013 version, the revised dataset covers 203 jurisdictions and it is a subset of the broader Global Financial Development Database. All indicators have been recalculated for the entire time period to ensure higher quality and consistency over time. The file contains a sheet with definitions and sources. For more detailed definitions and descriptions of the underlying sources, please see the working papers below. Amin Mohseni-Cheraghlou and Subika Farazi were instrumental in this update. An additional compressed file contains files with macroeconomic and institutional data averaged over the period 1980-95 that have been used as dependent or controlling variables by some of the authors in recent papers. To access the compressed file please click on this self-extracting zip file: download the file, do a File, Run, and the files will be extracted. Beck, Demirgüç-Kunt, and Levine (2000) describe the sources and construction of, and the intuition behind, different indicators and present descriptive statistics of the Financial Development and Structure dataset. Čihák, Demirgüç-Kunt, Feyen, and Levine (2012) discuss the related Global Financial Development Database, which encompasses all the statistics from the Financial Development and Structure dataset, plus several additional series.
Resource Type: Dataset Format: EXCEL ZIP
PDF

Working paper

The authors introduce a new database of indicators of financial development and structure across countries and over time. This database is unique in that it unites a variety of indicators that measure the size, activity, and efficiency of financial intermediaries and markets. It improves on previous efforts by presenting data on the public share of commercial banks, by introducing indicators of the size and activity of non bank financial institutions, and by presenting measures of the size of bond and primary equity markets. The compiled data permit the construction of financial structure indicators to measure whether, for example, a country's banks are larger, more active, and more efficient than its stock markets. These indicators can then be used to investigate the empirical link between the legal, regulatory, and policy environment and indicators of financial structure. They can also be used to analyze the implications of financial structure for economic growth. The authors describe the sources and construction of, and the intuition behind, different indicators and present descriptive statistics.

Resource Type: Download Format: PDF
PDF

Working paper

This paper introduces the updated and expanded version of the Financial Development and Structure Database and presents recent trends in structure and development of financial institutions and markets across countries. The authors add indicators on banking structure and financial globalization. They find a deepening of both financial markets and institutions, a trend concentrated in high-income countries and more pronounced for markets than for banks. Similarly, the recent increase in cross-border lending and debt issues has been concentrated in high-income countries, while low and lower-middle income countries have experienced an increase in remittance flows. Low net interest margins, rising profitability and declining stability in high-income countries banking sectors characterize the recent financial sector boom in high income countries leading up to the global financial crisis of 2007.

Resource Type: Download Format: PDF
PDF

Working paper

This paper introduces the Global Financial Development Database, an extensive dataset of financial system characteristics for 205 economies from 1960 to 2010. The database includes measures of (a) size of financial institutions and markets (financial depth), (b) degree to which individuals can and do use financial services (access), (c) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (d) stability of financial institutions and markets (stability). The authors document cross-country differences and time series trends.

Resource Type: Download Format: PDF

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The Financial Development and Structure dataset updated in November 2013 contains data from 1960 through 2011. Similar to its previous, April 2013 version, the revised dataset covers 203 jurisdictions and it is a subset of the broader Global Financial Development Database.

All indicators have been recalculated for the entire time period to ensure higher quality and consistency over time. The file contains a sheet with definitions and sources. For more detailed definitions and descriptions of the underlying sources, please see the working papers below.

Amin Mohseni-Cheraghlou and Subika Farazi were instrumental in this update.

An additional compressed file contains files with macroeconomic and institutional data averaged over the period 1980-95 that have been used as dependent or controlling variables by some of the authors in recent papers. To access the compressed file please click on this self-extracting zip file: download the file, do a File, Run, and the files will be extracted.

Beck, Demirgüç-Kunt, and Levine (2000) describe the sources and construction of, and the intuition behind, different indicators and present descriptive statistics of the Financial Development and Structure dataset.

Čihák, Demirgüç-Kunt, Feyen, and Levine (2012) discuss the related Global Financial Development Database, which encompasses all the statistics from the Financial Development and Structure dataset, plus several additional series.

FieldValue
Groups audience
Modified Date
2019-05-04
Release Date
Periodicity
Periodicity not specified
Identifier
66b24ab2-7854-448f-b1b3-7270abac007d
Temporal Coverage

1960 - 2010

License
License Not Specified
Contact Email
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Economy Coverage: 
Terms of Use: 
Number of Economies: 
205
Geographical Coverage: 
Data Classification of a Dataset: 
Start Date: 
Friday, January 1, 1960
End Date: 
Friday, December 31, 2010
DEC
Last Updated Date: 
Monday, July 17, 2017
citation text: 
Is economic volatility detrimental to global sustainability?
Granularity: 
Modified date: 
17363
Primary Dataset: 
Yes
collection_field: 

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is licensed under CC-BY 4.0

CC-BY 4.0

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