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The European Union Statistics on Income and Living Conditions (EU-SILC) was first conducted in Germany in 2005 under the name "Live in Europe". For this survey, around 14.000 private households and the persons aged 16 and older living in them are interrogated on a voluntary basis.The emphasis of this survey is on personal and household income, living conditions of the household, health of the respondents, questions on childcare, on employment, and on the assessment of ones finalcial situation. In addition, there are survey emphases that change anually. The EU statistics on income and living conditions is designed as a rotating panel, so it allows for cross section as well as longitudinal section analyses.
The survey years are only processed up to 2013. If you are interested in using more up-to-date data, please consider using the Eurostat data supply. Further information on the method can also be found on the Eurostat homepage.
The European Union Statistics on Income and Living Conditions (EU-SILC) was first conducted in Germany in 2005 under the name "Live in Europe". For this survey, around 14.000 private households and the persons aged 16 and older living in them are interrogated on a voluntary basis.The emphasis of this survey is on personal and household income, living conditions of the household, health of the respondents, questions on childcare, on employment, and on the assessment of ones finalcial situation. In addition, there are survey emphases that change anually. The EU statistics on income and living conditions is designed as a rotating panel, so it allows for cross section as well as longitudinal section analyses.
The survey years are only processed up to 2013. If you are interested in using more up-to-date data, please consider using the Eurostat data supply. Further information on the method can also be found on the Eurostat homepage.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2020 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2020 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2019 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2019 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2019 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2018 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2017 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank's credit assessment system and from public sources.
The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2016 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form.
The database of the Corporate Balance Sheets (Ustan) comprises annual financial statements of non-financial corporations and is formed in the context of the refinancing business.
In discharging her monetary policy duty the Deutsche Bundesbank grants refinancing loans to domestic credit institutions. But there are collaterals eligible for refinancing at the central bank required as a prerequisite, like book credits to domestic non-financial enterprises. In order to control the intrinsic value of the securities the annual financial statements of the non-financial enterprises have to be submitted to the Bundesbank where they serve as a fundament for credit rating.
The data flows into the Financial Statements Data Pool, which is the database used for regular statistical analyses of German companies' earnings and financing situation. Results are published in the Special Statistical Publication 5 and 6.
This Ustan database comprises the years from 1987 to 2016 and can be used as a panel dataset for research purposes. Besides the balance sheet data, the profit and loss account and the asset history sheet (if any) additional information about the firm are available, like the branch of industry or the legal form.
The database of the Corporate Balance Sheets (Ustan) comprises annual financial statements of non-financial corporations and is formed in the context of the refinancing business.
In discharging her monetary policy duty the Deutsche Bundesbank grants refinancing loans to domestic credit institutions. But there are collaterals eligible for refinancing at the central bank required as a prerequisite, like book credits to domestic non-financial enterprises. In order to control the intrinsic value of the securities the annual financial statements of the non-financial enterprises have to be submitted to the Bundesbank where they serve as a fundament for credit rating.
The data flows into the Financial Statements Data Pool, which is the database used for regular statistical analyses of German companies' earnings and financing situation. Results are published in the Special Statistical Publication 5 and 6.
This Ustan database comprises the years from 1999 to 2015 and can be used as a panel dataset for research purposes. Besides the balance sheet data, the profit and loss account and the asset history sheet (if any) additional information about the firm are available, like the branch of industry or the legal form.
The database of the Corporate Balance Sheets (Ustan) comprises annual financial statements of non-financial corporations and is formed in the context of the refinancing business.
In discharging her monetary policy duty the Deutsche Bundesbank grants refinancing loans to domestic credit institutions. But there are collaterals eligible for refinancing at the central bank required as a prerequisite, like book credits to domestic non-financial enterprises. In order to control the intrinsic value of the securities the annual financial statements of the non-financial enterprises have to be submitted to the Bundesbank where they serve as a fundament for credit rating.
The data flows into the Financial Statements Data Pool, which is the database used for regular statistical analyses of German companies' earnings and financing situation. Results are published in the Special Statistical Publication 5 and 6.
This Ustan database comprises the years from 1999 to 2014 and can be used as a panel dataset for research purposes. Besides the balance sheet data, the profit and loss account and the asset history sheet (if any) additional information about the firm are available, like the branch of industry or the legal form.