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Macroeconomic and sectoral statisticsMacroeconomic and sectoral statistics include a wide range of key statistics for the whole economy, individual sectors and the relationships between them. They are the backbone for economic and financial stability analysis and monitoring the effects of the ECB’s monetary policy on the euro area economy. These statistics are available for the euro area and, in most cases, all EU countries using comparable statistical methods. GDP, output and demand encompass data on national accounts main aggregates, short-term business statistics, economic tendency surveys and other statistics. Macroeconomic data also include data on HICP, other prices and costs and labour market. The financial and non-financial sector accounts provide the national accounts for all institutional sectors of the economy. They include data for the euro area regarding income, consumption, saving, investment, financing, financial investment and net lending/borrowing of households, non-financial corporations, financial corporations (and sub-sectors) and the government sector. They also include data on financial and non-financial assets, debt and wealth for all sectors. More detailed data for the general government sector, mainly used for fiscal analysis, are also part of the macroeconomic and sectoral statistics. Sector accountsFinancial accounts | Non-financial accounts | Non-financial assets | Analytical indicators GDP, output and demandNational accounts-main aggregates | Short-term business indicators | Structural indicators Government financeRevenue | Expenditure | Deficit/surplus and consumption | EU budget transactions | Government debt | Change in debt | Financial accounts | Assistance to the financial sector HICPHICP - Harmonised index of consumer prices Other prices and costsIndustrial producer prices | Construction producer prices and costs | Import prices | Commodity prices | Property prices | Labour costs | Deflators Labour marketEmployment | Unemployment | Population | Labour productivity and unit labour costs |