1. The importance of estimates
Teodora Brandmüller

2. 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!

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

4. Response rates for sub-city districts

5. Response rates for Larger Urban Zones

6. Response rates Larger Urban Zones

7. 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.

8. 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.

9. 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

10. Thanks for listening !
Any Questions ?
Any questions?