The importance of estimates Teodora Brandmüller

Special characteristics of the Urban Audit 2006 Spatial units sub-city districts - small area Larger Urban Zone –do not always follow administrative boundaries Reference year 2004 – no census Variables National standards can deviate from the European definition Estimates are needed!

Response rates for sub-city districts (SCD level 2)

Response rates for sub-city districts

Response rates for Larger Urban Zones

Response rates Larger Urban Zones

Examples – Workplace based employment data Response rate at city level 85% Large data gaps for BE, EL, MT, LU 21% of the data is estimated DE, SI, NL more than 90% of the data is estimated EC2020V EC2022V EC2023V EC2008V EC2009V EC2010V EC2011V EC2012V EC2016V EC2017V EC2018V EC2019V NL The basic figures for the estimation of total employment have been derived from two sources, namely the survey on Employment and Earnings for the employment of employees; a specific tax register for persons with entrepreneurial income for the employment of self employed. The survey on Employment and Earnings measures, among others, the jobs of the employees at the level of the municipalities. The specific tax register for persons with entrepreneurial income does measure only the number of self-employed and not their jobs. The number of jobs of the self-employed has been estimated by adjusting the number of persons with an entrepreneurial income by means of the known ratio between the number of self-employed persons and the number of jobs of these persons at the national level. This adjustment has been differentiated according to the NACE sections.

Examples – Household income Response rate at city level 42% 55% of the existing data is estimated! Estimation of quintile „i” of household income qij – „i” quintile of taxpayer income, cj – average income per household, aj – average income per taxpayer, The estimation method for each quintile of household income. Estimation of quintile „i” (i = 1, 2, 3, 4) of household income for spatial unit „j” (city, LUZ) were provided by the following formula: , quintile „i” of household income= i” quintile of taxpayer income x average income per household / average income per taxpayer where: – estimation of quintile „i” of household income, qij – „i” quintile of taxpayer income, cj – average income per household, aj – average income per taxpayer, Indicator cj was calculated according to the following formula: xj – total income of taxpayers, yj – total number of household.

National Urban Audit Coordinator and partner at local level Knowledge needed National Urban Audit Coordinator and partner at local level Potential data providers Authorities, ministries, public service providers Data available at local and at national level Registers, surveys Understanding of the local and national situation reasons for disparities or similarities between result

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