Complete database of Experian's mergers and acquisitions

Discover the booming credit risk database market! Our analysis reveals a $5 billion market in 2025, growing at 15% CAGR. Learn about key drivers, trends, restraints, major players (Experian, Fidelity National, etc.), and regional insights for 2019-2033.

Brazil Loans: Credit Demand: Corporate: Large data was reported at 145.381 2008=100 in Jan 2019. This records a decrease from the previous number of 148.981 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Corporate: Large data is updated monthly, averaging 124.777 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 174.377 2008=100 in Mar 2014 and a record low of 98.231 2008=100 in Apr 2009. Brazil Loans: Credit Demand: Corporate: Large data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB025: Loans: Credit Demand: Corporate: by Company Size. This indicator aims to measure the demand for credit by firms during a given month. Constructed from a significant sample of CNPJs (National Registry of Legal Entities) about 1.2 million, obtained monthly from the Serasa Experian database. The amount of CNPJs consulted specifically on the transactions that make up a credit relationship between companies and institutions in the financial system or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic, sector and company size. The classification of company size adopted by Serasa and applicable to all sectors is summarized in the table below: Microenterprise: Annual gross operating revenue less than or equal to BRL 2.4 million Small business: Annual gross operating revenue greater than BRL 2.4 million and less than or equal to BRL 16 million Average company: Annual gross operating revenue greater than BRL 16 million and less than or equal to BRL 90 million Medium to large company: Annual gross operating revenue greater than BRL 90 million and less than or equal to BRL 300 million Large company: Greater than BRL 300 million Este Indicador objetiva mensurar a procura de crédito por parte das empresas durante um determinado mês. Construído a partir de uma amostra significativa de CNPJs (cerca de 1,2 milhão), consultados mensalmente na base de dados da Serasa Experian. A quantidade de CNPJs consultados, especificamente nas transações que configuram alguma relação creditícia entre as empresas e instituições do sistema financeiro ou empresas não financeiras, é transformada em número índice (média de 2008 = 100). O indicador é segmentado por região geográfica, setor e porte. A classificação de porte de empresa adotada pelo Serasa e aplicável a todos os setores está resumida no quadro abaixo: Microempresa: A receita operacional bruta anual igual ou inferior a R$ 2,4 milhões Pequenas empresas: A receita operacional bruta anual superior a R$ 2,4 milhões e menor ou igual a R$ 16 milhões Empresa média: A receita operacional bruta anual superior a R$ 16 milhões e menor ou igual a R$ 90 milhões De médio a grande empresa: A receita operacional bruta anual superior a R$ 90 milhões e menor ou igual a R$ 300 milhões Empresa de grande porte: Maior que R$ 300 milhões

Underlying data from the publication 'Research to understand the barriers to take up and use of business support' [URN 11/1288]. Data from a survey of 1,202 employer SMEs in England undertaken in March 2011. The survey was designed to provide statistically robust evidence of business use and non use of external business support services, differentiating between private sector and public sector sources of both routine information and strategic advice. The survey aimed to produce a broadly representative sample of SME employers and used a random stratified sample from the Experian database adopting quotas in order to capture sufficient numbers of businesses across key categories (age, size, sector, region). The data presented in the published report was weighted by size band to correct for over-sampling amongst larger SMEs.

Credit bureaus and rating agencies in the US have experienced notable growth in recent years due to heightened demand for information. The reliance on data analytics has driven increased interest in these services, which provide vital information on creditworthiness for both individuals and businesses. This has been particularly significant as businesses and individuals seek to make well-informed financial decisions. Despite economic challenges throughout the period, inflationary pressures and high interest rates, the industry has thrived and profit has climbed, indicating its resilience and the critical nature of the services it offers in a data-driven economy. While long-term demand for information has buoyed the industry, providers’ trajectory has been influenced by broader economic conditions, notably equity market fluctuations. The industry weathered economic disruptions, specifically at the onset of the period, although rapid fiscal and monetary responses bolstered investor confidence and led to robust growth in equity markets, contributing to massive revenue growth at the start of the period. Soaring interest rates heightened recessionary fears among investors, hindering demand for equities and limiting stock price growth. These effects have permeated the real economy, as consumer and business borrowing have slowed, thereby limiting growth in aggregate household debt and corporate debt. Overall, revenue for credit bureaus and rating agencies in the US has grown at a CAGR of 2.7% to $17.6 billion over the past five years, including an expected increase of 0.6% in 2025 alone. In addition, industry profit has climbed and will comprise 11.7% of revenue in the current year. Looking ahead, credit bureaus and rating agencies will face a more tempered growth trajectory over the next five years. The broad adoption of online services and data analytics has led to market saturation, reducing opportunities for exponential revenue growth. Nonetheless, stable economic growth and business formation are expected to sustain a steady demand for credit reporting and rating services. The predicted slower growth in equity prices will moderate financial institutions' borrowing capacity, which will also contribute to the slowdown in revenue growth. Overall, revenue for credit bureaus and rating agencies in the United States is forecast to inch upward at a CAGR of 0.7% to $18.2 billion over the five years to 2030.

Underlying data from the publication 'Research to understand the barriers to take up and use of business support' [URN 11/1288]. Data from a survey of 1,202 employer SMEs in England undertaken in March 2011. The survey was designed to provide statistically robust evidence of business use and non use of external business support services, differentiating between private sector and public sector sources of both routine information and strategic advice. The survey aimed to produce a broadly representative sample of SME employers and used a random stratified sample from the Experian database adopting quotas in order to capture sufficient numbers of businesses across key categories (age, size, sector, region). The data presented in the published report was weighted by size band to correct for over-sampling amongst larger SMEs.

Brazil Loans: Credit Demand: Corporate data was reported at 100.344 2008=100 in Jan 2019. This records an increase from the previous number of 82.483 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Corporate data is updated monthly, averaging 100.788 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 118.089 2008=100 in Sep 2014 and a record low of 80.704 2008=100 in Dec 2007. Brazil Loans: Credit Demand: Corporate data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB027: Loans: Credit Demand: Corporate: by Sector. This indicator aims to measure the demand for credit by firms during a given month. Constructed from a significant sample of CNPJs (National Registry of Legal Entities) about 1.2 million, obtained monthly from the Serasa Experian database. The amount of CNPJs consulted specifically on the transactions that make up a credit relationship between companies and institutions in the financial system or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic, sector and company size. The classification of company size adopted by Serasa and applicable to all sectors is summarized in the table below: Microenterprise: Annual gross operating revenue less than or equal to BRL 2.4 million Small business: Annual gross operating revenue greater than BRL 2.4 million and less than or equal to BRL 16 million Average company: Annual gross operating revenue greater than BRL 16 million and less than or equal to BRL 90 million Medium to large company: Annual gross operating revenue greater than BRL 90 million and less than or equal to BRL 300 million Large company: Greater than BRL 300 million Este Indicador objetiva mensurar a procura de crédito por parte das empresas durante um determinado mês. Construído a partir de uma amostra significativa de CNPJs (cerca de 1,2 milhão), consultados mensalmente na base de dados da Serasa Experian. A quantidade de CNPJs consultados, especificamente nas transações que configuram alguma relação creditícia entre as empresas e instituições do sistema financeiro ou empresas não financeiras, é transformada em número índice (média de 2008 = 100). O indicador é segmentado por região geográfica, setor e porte. A classificação de porte de empresa adotada pelo Serasa e aplicável a todos os setores está resumida no quadro abaixo: Microempresa: A receita operacional bruta anual igual ou inferior a R$ 2,4 milhões Pequenas empresas: A receita operacional bruta anual superior a R$ 2,4 milhões e menor ou igual a R$ 16 milhões Empresa média: A receita operacional bruta anual superior a R$ 16 milhões e menor ou igual a R$ 90 milhões De médio a grande empresa: A receita operacional bruta anual superior a R$ 90 milhões e menor ou igual a R$ 300 milhões Empresa de grande porte: Maior que R$ 300 milhões

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The data quality tools market has the potential to grow by USD 1.09 billion during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 14.30%.

This data quality tools market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by deployment (on-premise and cloud-based) and geography (North America, Europe, APAC, South America, and Middle East and Africa). The data quality tools market report also offers information on several market vendors, including Accenture Plc, Ataccama Corp., DQ Global, Experian Plc, International Business Machines Corp., Oracle Corp., Precisely, SAP SE, SAS Institute Inc., and TIBCO Software Inc. among others.

What will the Data Quality Tools Market Size be in 2021?

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Data Quality Tools Market: Key Drivers and Trends

The increasing use of data quality tools for marketing is notably driving the data quality tools market growth, although factors such as high implementation and production cost may impede market growth. To unlock information on the key market drivers and the COVID-19 pandemic impact on the data quality tools industry get your FREE report sample now.

Enterprises are increasingly using data quality tools, to clean and profile the data to target customers with appropriate products, for digital marketing. Data quality tools help in digital marketing by collecting accurate customer data that is stored in databases and translate that data into rich cross-channel customer profiles. This data helps enterprises in making better decisions on how to maximize the funds coming in. Thus, the rising use of data quality tools to change company processes of marketing is driving the data quality tools market growth.

This data quality tools market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. Get detailed insights on the trends and challenges, which will help companies evaluate and develop growth strategies.

Who are the Major Data Quality Tools Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Accenture Plc
Ataccama Corp.
DQ Global
Experian Plc
International Business Machines Corp.
Oracle Corp.
Precisely
SAP SE
SAS Institute Inc.
TIBCO Software Inc.

The data quality tools market is fragmented and the vendors are deploying organic and inorganic growth strategies to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the data quality tools market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for Data Quality Tools Market?

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39% of the market’s growth will originate from North America during the forecast period. The US is the key market for data quality tools market in North America. Market growth in this region will be slower than the growth of the market in APAC, South America, and MEA.

The expansion of data in the region, fueled by the increasing adherence to mobile and Internet of Things (IoT), the presence of major data quality tools vendors, stringent data-related regulatory compliances, and ongoing projects will facilitate the data quality tools market growth in North America over the forecast period. To garner further competitive intelligence and regional opportunities in store for vendors, view our sample report.

What are the Revenue-generating Deployment Segments in the Data Quality Tools Market?

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Although the on-premises segment is expected to grow at a slower rate than the cloud-based segment, primarily due to the high cost of on-premises deployment, its prime advantage of total ownership by the end-user will retain its market share. Also, in an on-premise solution, customization is high, which makes it more adaptable among large enterprises, thus driving the revenue growth of the market.

Fetch actionable market insights on post COVID-19 impact on each segment. This report provides an accurate prediction of the contribution of all the segments to the growth of the data qualit

Brazil Loans: Credit Demand: Corporate: North data was reported at 108.154 2008=100 in Jan 2019. This records an increase from the previous number of 90.565 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Corporate: North data is updated monthly, averaging 104.935 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 146.668 2008=100 in Jul 2015 and a record low of 75.111 2008=100 in Dec 2007. Brazil Loans: Credit Demand: Corporate: North data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB026: Loans: Credit Demand: Corporate: by Region. This indicator aims to measure the demand for credit by firms during a given month. Constructed from a significant sample of CNPJs (National Registry of Legal Entities) about 1.2 million, obtained monthly from the Serasa Experian database. The amount of CNPJs consulted specifically on the transactions that make up a credit relationship between companies and institutions in the financial system or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic, sector and company size. Este Indicador objetiva mensurar a procura de crédito por parte das empresas durante um determinado mês. Construído a partir de uma amostra significativa de CNPJs (cerca de 1,2 milhão), consultados mensalmente na base de dados da Serasa Experian. A quantidade de CNPJs consultados, especificamente nas transações que configuram alguma relação creditícia entre as empresas e instituições do sistema financeiro ou empresas não financeiras, é transformada em número índice (média de 2008 = 100). O indicador é segmentado por região geográfica, setor e porte.

Brazil Loans: Credit Demand: Corporate: Southeast data was reported at 97.837 2008=100 in Jan 2019. This records an increase from the previous number of 80.152 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Corporate: Southeast data is updated monthly, averaging 99.410 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 115.366 2008=100 in Aug 2011 and a record low of 79.590 2008=100 in Dec 2012. Brazil Loans: Credit Demand: Corporate: Southeast data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB026: Loans: Credit Demand: Corporate: by Region. This indicator aims to measure the demand for credit by firms during a given month. Constructed from a significant sample of CNPJs (National Registry of Legal Entities) about 1.2 million, obtained monthly from the Serasa Experian database. The amount of CNPJs consulted specifically on the transactions that make up a credit relationship between companies and institutions in the financial system or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic, sector and company size. Este Indicador objetiva mensurar a procura de crédito por parte das empresas durante um determinado mês. Construído a partir de uma amostra significativa de CNPJs (cerca de 1,2 milhão), consultados mensalmente na base de dados da Serasa Experian. A quantidade de CNPJs consultados, especificamente nas transações que configuram alguma relação creditícia entre as empresas e instituições do sistema financeiro ou empresas não financeiras, é transformada em número índice (média de 2008 = 100). O indicador é segmentado por região geográfica, setor e porte.

To select the group of UK firms we initially searched in the FAME database (available from the University of Manchester Library) with keywords relating to the green goods sector, please see the publication Shapira, et al (2014, in Technological Forecasting & Social Change, vol. 85, pp. 93-104) for further details on the keywords. This database contains anonymized firm data from a sample of UK firms in the green goods production industry. We combine data from structured sources (the FAME database, patents and publications) with unstructured data mined from firm's web-sites by saving key words in text and summing up counts of these to create additional explanatory variables for firm growth. The data is in a panel from 2003-2012 with some observations missing for firms. We collect historical data from firm's web-sites available in an archive from the Wayback machine.

This project probes the growth strategies of innovative small and medium-size enterprises (SMEs). Our research focuses on emerging green goods industries that manufacture outputs which benefit the environment or conserve natural resources, with an international comparative element involving the UK, the US, and China.

The project investigates the contributions of strategy, resources and relationships to how innovative British, American, and Chinese SMEs achieve significant growth. The targeted technology-oriented green goods sectors are strategically important to environmental rebalancing and have significant potential (in the UK) for export growth. The research examines the diverse pathways to innovation and growth across different regions. We use a mix of methodologies, including analyses of structured and unstructured data on SME business and technology performance and strategies, case studies, and modelling. Novel approaches using web mining are pioneered to gain timely information about enterprise developmental pathways. Findings from the project will be used to inform management and policy development at enterprise, regional and national levels.

The project is led by the Manchester Institute of Innovation Research at the University of Manchester, in collaboration with Georgia Institute of Technology, US; Beijing Institute of Technology, China, and Experian, UK.

Brazil Loans: Credit Demand: Corporate: Northeast data was reported at 107.305 2008=100 in Jan 2019. This records an increase from the previous number of 89.171 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Corporate: Northeast data is updated monthly, averaging 105.157 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 127.556 2008=100 in Sep 2014 and a record low of 80.427 2008=100 in Feb 2007. Brazil Loans: Credit Demand: Corporate: Northeast data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB026: Loans: Credit Demand: Corporate: by Region. This indicator aims to measure the demand for credit by firms during a given month. Constructed from a significant sample of CNPJs (National Registry of Legal Entities) about 1.2 million, obtained monthly from the Serasa Experian database. The amount of CNPJs consulted specifically on the transactions that make up a credit relationship between companies and institutions in the financial system or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic, sector and company size. Este Indicador objetiva mensurar a procura de crédito por parte das empresas durante um determinado mês. Construído a partir de uma amostra significativa de CNPJs (cerca de 1,2 milhão), consultados mensalmente na base de dados da Serasa Experian. A quantidade de CNPJs consultados, especificamente nas transações que configuram alguma relação creditícia entre as empresas e instituições do sistema financeiro ou empresas não financeiras, é transformada em número índice (média de 2008 = 100). O indicador é segmentado por região geográfica, setor e porte.

This comprehensive database for town centres is the Technical Annex associated with the GLA publication: “2013 Town Centre Health Check report’. The indicators for this database are categorised in the following sub-headings: ‘scale and function’, ‘capacity’, ‘financial performance’, ‘accessibility’, ‘town centre initiatives’, ‘accidents and security’ and ‘environment’. Further details of the health check indicators including data sources can be found in Annex 2 of the associated report. The data is provided for 217 town centres identified in the London Plan (2011), coupled with some neighbourhood and more local centres. The majority of the data are sourced from Experian GOAD but for some centres for which GOAD coverage was poor we used borough data. So care has to be used on both time series and comparisons between centres. Relevant link: https://www.london.gov.uk/priorities/planning/publications/2013-london-town-centre-check

Brazil Loans: Credit Demand: Consumer data was reported at 146.411 2008=100 in Jan 2019. This records an increase from the previous number of 142.342 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Consumer data is updated monthly, averaging 121.091 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 150.484 2008=100 in Oct 2018 and a record low of 79.430 2008=100 in Feb 2007. Brazil Loans: Credit Demand: Consumer data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB023: Loans: Credit Demand: Consumer: by Personal Monthly Income. The Serasa indicators, in general, aims to measure the demand for credit by consumers during a given month. It is constructed from a representative sample of about 11.5 million CPFs, Monthly consulted in the database Serasa Experian. The amount of CPFs (is a number attributed by the Brazilian Revenue Agency– Federal Revenue, to both Brazilians and resident aliens who pay taxes or take part, directly or indirectly, in activities that provide revenue for any of the dozens of different types of taxes existing in Brazil). Consulted specifically on the transactions that make up a credit relationship between consumers and financial system institutions or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic region and by type of monthly income. The Serasa Experian Index Credit Demand by Consumer Personal Income is divided into seven major groups: Personal Income: Until to BRL 500 Covers the groups of consumers with the personal income until BRL 500 Personal Income: From BRL 500 to BRL 1,000 Covers the groups of consumers with the personal income from BRL 500 to BRL 1,000 Personal Income: From BRL 1,000 to BRL 2,000 Covers the groups of consumers with the personal income from BRL 1,000 to BRL 2,000 Personal Income: From BRL 2,000 to BRL 5,000 Covers the groups of consumers with the personal income from BRL 2,000 to BRL 5,000 Personal Income: from BRL 5,000 to BRL 10,000 Covers the groups of consumers with the personal income from BRL 5,000 to BRL 10,000 Personal Income: Over BRL 10,000 Covers the groups of consumers with the personal income over BRL 10,000 Os indicadores Serasa , em geral, tem como objetivo medir a demanda por crédito por parte dos consumidores durante um determinado mês. Ele é construído a partir de uma amostra representativa de cerca de 11,5 milhões de CPFs , consultados mensalmente no banco de dados da Serasa Experian . A quantidade de CPFs ( é um número atribuído pela Secretaria da Receita Federal - Agência de Receita Federal do Brasil , tanto para brasileiros e estrangeiros residentes que pagam impostos ou participar , direta ou indiretamente , em atividades que proporcionem renda para qualquer uma das dezenas de diferentes tipos de impostos existente no Brasil). Consultado especificamente sobre as operações que compõem uma relação de crédito entre os consumidores e instituições do sistema financeiro ou empresas não financeiras , é transformada em um número índice ( média de 2008 = 100) . O indicador é segmentado por região geográfica e por tipo da renda mensal . Os indicadores apresentados nesta tabela cobrir especificamente todo o território brasileiro e seus resultados são divididos por região . O Índice Serasa Experian de demanda por crédito por Consumidor Rendimento das Pessoas é dividido em sete grandes grupos: Rendimento das Pessoas: Até R$ 500 Abrange os grupos de consumid

Brazil Loans: Credit Demand: Consumer: over 10000 BRL data was reported at 136.335 2008=100 in Jan 2019. This records an increase from the previous number of 132.779 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Consumer: over 10000 BRL data is updated monthly, averaging 122.192 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 159.429 2008=100 in Oct 2017 and a record low of 80.951 2008=100 in Feb 2007. Brazil Loans: Credit Demand: Consumer: over 10000 BRL data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB023: Loans: Credit Demand: Consumer: by Personal Monthly Income. The Serasa indicators, in general, aims to measure the demand for credit by consumers during a given month. It is constructed from a representative sample of about 11.5 million CPFs, Monthly consulted in the database Serasa Experian. The amount of CPFs (is a number attributed by the Brazilian Revenue Agency– Federal Revenue, to both Brazilians and resident aliens who pay taxes or take part, directly or indirectly, in activities that provide revenue for any of the dozens of different types of taxes existing in Brazil). Consulted specifically on the transactions that make up a credit relationship between consumers and financial system institutions or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic region and by type of monthly income. The Serasa Experian Index Credit Demand by Consumer Personal Income is divided into seven major groups: Personal Income: Until to BRL 500 Covers the groups of consumers with the personal income until BRL 500 Personal Income: From BRL 500 to BRL 1,000 Covers the groups of consumers with the personal income from BRL 500 to BRL 1,000 Personal Income: From BRL 1,000 to BRL 2,000 Covers the groups of consumers with the personal income from BRL 1,000 to BRL 2,000 Personal Income: From BRL 2,000 to BRL 5,000 Covers the groups of consumers with the personal income from BRL 2,000 to BRL 5,000 Personal Income: from BRL 5,000 to BRL 10,000 Covers the groups of consumers with the personal income from BRL 5,000 to BRL 10,000 Personal Income: Over BRL 10,000 Covers the groups of consumers with the personal income over BRL 10,000 Os indicadores Serasa , em geral, tem como objetivo medir a demanda por crédito por parte dos consumidores durante um determinado mês. Ele é construído a partir de uma amostra representativa de cerca de 11,5 milhões de CPFs , consultados mensalmente no banco de dados da Serasa Experian . A quantidade de CPFs ( é um número atribuído pela Secretaria da Receita Federal - Agência de Receita Federal do Brasil , tanto para brasileiros e estrangeiros residentes que pagam impostos ou participar , direta ou indiretamente , em atividades que proporcionem renda para qualquer uma das dezenas de diferentes tipos de impostos existente no Brasil). Consultado especificamente sobre as operações que compõem uma relação de crédito entre os consumidores e instituições do sistema financeiro ou empresas não financeiras , é transformada em um número índice ( média de 2008 = 100) . O indicador é segmentado por região geográfica e por tipo da renda mensal . Os indicadores apresentados nesta tabela cobrir especificamente todo o território brasileiro e seus resultados são divididos por região . O Índice Serasa Experian de demanda por crédito por Consumidor Rendimento das Pessoas é dividido em sete grandes grupos: Rendimento das Pessoas: Até R$ 500 Abrange os grupos de consumid

Brazil Loans: Credit Demand: Consumer: until to 500 BRL data was reported at 205.190 2008=100 in Jan 2019. This records an increase from the previous number of 199.912 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Consumer: until to 500 BRL data is updated monthly, averaging 145.739 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 212.756 2008=100 in Oct 2018 and a record low of 72.368 2008=100 in Feb 2007. Brazil Loans: Credit Demand: Consumer: until to 500 BRL data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB023: Loans: Credit Demand: Consumer: by Personal Monthly Income. The Serasa indicators, in general, aims to measure the demand for credit by consumers during a given month. It is constructed from a representative sample of about 11.5 million CPFs, Monthly consulted in the database Serasa Experian. The amount of CPFs (is a number attributed by the Brazilian Revenue Agency– Federal Revenue, to both Brazilians and resident aliens who pay taxes or take part, directly or indirectly, in activities that provide revenue for any of the dozens of different types of taxes existing in Brazil). Consulted specifically on the transactions that make up a credit relationship between consumers and financial system institutions or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic region and by type of monthly income. The Serasa Experian Index Credit Demand by Consumer Personal Income is divided into seven major groups: Personal Income: Until to BRL 500 Covers the groups of consumers with the personal income until BRL 500 Personal Income: From BRL 500 to BRL 1,000 Covers the groups of consumers with the personal income from BRL 500 to BRL 1,000 Personal Income: From BRL 1,000 to BRL 2,000 Covers the groups of consumers with the personal income from BRL 1,000 to BRL 2,000 Personal Income: From BRL 2,000 to BRL 5,000 Covers the groups of consumers with the personal income from BRL 2,000 to BRL 5,000 Personal Income: from BRL 5,000 to BRL 10,000 Covers the groups of consumers with the personal income from BRL 5,000 to BRL 10,000 Personal Income: Over BRL 10,000 Covers the groups of consumers with the personal income over BRL 10,000 Os indicadores Serasa , em geral, tem como objetivo medir a demanda por crédito por parte dos consumidores durante um determinado mês. Ele é construído a partir de uma amostra representativa de cerca de 11,5 milhões de CPFs , consultados mensalmente no banco de dados da Serasa Experian . A quantidade de CPFs ( é um número atribuído pela Secretaria da Receita Federal - Agência de Receita Federal do Brasil , tanto para brasileiros e estrangeiros residentes que pagam impostos ou participar , direta ou indiretamente , em atividades que proporcionem renda para qualquer uma das dezenas de diferentes tipos de impostos existente no Brasil). Consultado especificamente sobre as operações que compõem uma relação de crédito entre os consumidores e instituições do sistema financeiro ou empresas não financeiras , é transformada em um número índice ( média de 2008 = 100) . O indicador é segmentado por região geográfica e por tipo da renda mensal . Os indicadores apresentados nesta tabela cobrir especificamente todo o território brasileiro e seus resultados são divididos por região . O Índice Serasa Experian de demanda por crédito por Consumidor Rendimento das Pessoas é dividido em sete grandes grupos: Rendimento das Pessoas: Até R$ 500 Abrange os grupos de consumid

Brazil Loans: Credit Demand: Corporate: Industry data was reported at 84.739 2008=100 in Jan 2019. This records an increase from the previous number of 68.938 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Corporate: Industry data is updated monthly, averaging 95.773 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 129.404 2008=100 in Feb 2014 and a record low of 68.938 2008=100 in Dec 2018. Brazil Loans: Credit Demand: Corporate: Industry data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB027: Loans: Credit Demand: Corporate: by Sector. This indicator aims to measure the demand for credit by firms during a given month. Constructed from a significant sample of CNPJs (National Registry of Legal Entities) about 1.2 million, obtained monthly from the Serasa Experian database. The amount of CNPJs consulted specifically on the transactions that make up a credit relationship between companies and institutions in the financial system or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic, sector and company size. Industry: An economic activity which appeared in the First Industrial Revolution in the late eighteenth century and early nineteenth-century England, which aims to transform raw materials into marketable products. Commerce: Based on voluntary exchange of products. Services: Also known as 'intangibles' it involves the provision of services to businesses as well as final consumers. Others: All the other groups all the non-listed above. Este Indicador objetiva mensurar a procura de crédito por parte das empresas durante um determinado mês. Construído a partir de uma amostra significativa de CNPJs (cerca de 1,2 milhão), consultados mensalmente na base de dados da Serasa Experian. A quantidade de CNPJs consultados, especificamente nas transações que configuram alguma relação creditícia entre as empresas e instituições do sistema financeiro ou empresas não financeiras, é transformada em número índice (média de 2008 = 100). O indicador é segmentado por região geográfica, setor e porte. Indústria: Uma atividade econômica que apareceu na Primeira Revolução Industrial no final do século XVIII e início do século XIX na Inglaterra, que visa transformar matérias-primas em produtos comercializáveis​​. Comércio: Com base na troca voluntária de produtos. Serviços: Também conhecida como 'intangíveis' que envolve a prestação de serviços a empresas, bem como consumidores finais. Outros: Todos os outros grupos todos os não-listados acima.

Brazil Loans: Credit Demand: Consumer: North data was reported at 168.756 2008=100 in Jan 2019. This records an increase from the previous number of 166.631 2008=100 for Dec 2018. Brazil Loans: Credit Demand: Consumer: North data is updated monthly, averaging 127.313 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 176.820 2008=100 in Aug 2018 and a record low of 64.531 2008=100 in Feb 2007. Brazil Loans: Credit Demand: Consumer: North data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB024: Loans: Credit Demand: Consumer: by Region. The Serasa indicators, in general, aims to measure the demand for credit by consumers during a given month. It is constructed from a representative sample of about 11.5 million CPFs monthly consulted in the database Serasa Experian. The amount of CPFs (is a number attributed by the Brazilian Revenue Agency– Federal Revenue, to both Brazilians and resident aliens who pay taxes or take part, directly or indirectly, in activities that provide revenue for any of the dozens of different types of taxes existing in Brazil). Consulted specifically on the transactions that make up a credit relationship between consumers and financial system institutions or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic region and by type of monthly income. Os indicadores Serasa , em geral, tem como objetivo medir a demanda por crédito por parte dos consumidores durante um determinado mês. Ele é construído a partir de uma amostra representativa de cerca de 11,5 milhões de CPFs consultados mensalmente no banco de dados da Serasa Experian . A quantidade de CPFs ( é um número atribuído pela Secretaria da Receita Federal - Agência de Receita Federal do Brasil , tanto para brasileiros e estrangeiros residentes que pagam impostos ou participar , direta ou indiretamente , em atividades que proporcionem renda para qualquer uma das dezenas de diferentes tipos de impostos existente no Brasil). Consultado especificamente sobre as operações que compõem uma relação de crédito entre os consumidores e instituições do sistema financeiro ou empresas não financeiras , é transformada em um número índice ( média de 2008 = 100) . O indicador é segmentado por região geográfica e por tipo da renda mensal .

Loans: Credit Demand: Consumer: Southeast data was reported at 133.934 2008=100 in Jan 2019. This records an increase from the previous number of 131.351 2008=100 for Dec 2018. Loans: Credit Demand: Consumer: Southeast data is updated monthly, averaging 118.208 2008=100 from Jan 2007 (Median) to Jan 2019, with 145 observations. The data reached an all-time high of 142.938 2008=100 in Oct 2017 and a record low of 81.409 2008=100 in Feb 2007. Loans: Credit Demand: Consumer: Southeast data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB024: Loans: Credit Demand: Consumer: by Region. The Serasa indicators, in general, aims to measure the demand for credit by consumers during a given month. It is constructed from a representative sample of about 11.5 million CPFs monthly consulted in the database Serasa Experian. The amount of CPFs (is a number attributed by the Brazilian Revenue Agency– Federal Revenue, to both Brazilians and resident aliens who pay taxes or take part, directly or indirectly, in activities that provide revenue for any of the dozens of different types of taxes existing in Brazil). Consulted specifically on the transactions that make up a credit relationship between consumers and financial system institutions or non-financial companies, is transformed into an index number (average 2008 = 100). The indicator is segmented by geographic region and by type of monthly income. Os indicadores Serasa , em geral, tem como objetivo medir a demanda por crédito por parte dos consumidores durante um determinado mês. Ele é construído a partir de uma amostra representativa de cerca de 11,5 milhões de CPFs consultados mensalmente no banco de dados da Serasa Experian . A quantidade de CPFs ( é um número atribuído pela Secretaria da Receita Federal - Agência de Receita Federal do Brasil , tanto para brasileiros e estrangeiros residentes que pagam impostos ou participar , direta ou indiretamente , em atividades que proporcionem renda para qualquer uma das dezenas de diferentes tipos de impostos existente no Brasil). Consultado especificamente sobre as operações que compõem uma relação de crédito entre os consumidores e instituições do sistema financeiro ou empresas não financeiras , é transformada em um número índice ( média de 2008 = 100) . O indicador é segmentado por região geográfica e por tipo da renda mensal .