Civil society in figures: The identification of the Nonprofit Sector

Slides:



Advertisements
Similar presentations
FOREIGN DIRECT INVESTMENT STATISTICS IN TURKEY MENA/OECD TASK FORCE ON FDI STATISTICS NOVEMBER 9, 2006 İSTANBUL Yeşim Şişik Balance of Payment Division.
Advertisements

SERG Universidad de Huelva FACTORS OF BUSINESS SUCCESS IN ANDALUSIA.
© Federal Statistical Office Germany, IV A2 Federal Statistical Office Germany Application of Regular Expressions in the German Business Register Session.
Federal Department of Home Affairs FDHA Federal Statistical Office FSO Guidelines of Statistical Business Register Draft chapter 7 Fabio Tomasini – Paul.
© Federal Statistical Office, Business Register Federal Statistical Office Germany Information from Administrative Data for Business Register Session 5:
Federal Department of Home Affairs FDHA Federal Statistical Office FSO The Creation of a Unique Business Identification Number in Switzerland OECD – 25.
Data Sharing to Reduce Respondent Burden for the U.S. Census Bureau’s Business Register Presented to 12 th Meeting of the Group of Experts on Business.
Latin America and Caribbean Integration E-waste – Reverse Chain Consolidation Sebastian Rovira Vanda Scartezini.
Electronic reporting in Poland 27th Voorburg Group Meeting Warsaw, Poland October 1st to October 5th, 2012 Central Statistical Office of Poland.
Zagreb, th October Association for Civil Society Development SMART.
1 Item 7: National Accounts And Employment Data Using Employment Statistics in the Russian National Accounts Alexander Surinov Deputy Head of Rosstat Joint.
1 11 th Joint UNECE/Eurostat/OECD Seminar on Business Registers Valentín Llorente García (INE - Spain) Session 3: Business Register as a source for further.
The Legal Basis of Volunteering in Italy Renzo Razzano President SPES Volunteer Support Centre Lazio Region Vice President of CEV Parliament of Lithuania,
Georgia: business register data and gender-disaggregated indicators Tengiz Tsekvava Technical Meeting on Measuring Entrepreneurship from Gender Perspective.
SME-Statistics Registering of small and medium enterprises or counting of affiliates Eurostat Unit D1.
© Federal Statistical Office Germany Statistisches Bundesamt Statistical analysis through linking Intra Trade Register and General Business Registers Christiane.
Companies Government Private non-profit organisations Public research foundations From abroad Universities Governmental agencies Financiers of R&D Performers.
Panel Analysis of NPOs in Germany Design and Preliminary Results Lutz Bellmann Christian Hohendanner André Pahnke Third International Conference on Establishment.
1 Workshop on Informal Employment and Informal Sector Data Collection: Strategy, Tools and Advocacy Amman, April 2008 Phase1 of the 1-2 survey: Concepts.
© Federal Statistical Office, IV-A Business Register, Roland Sturm September 2011 Folie 1 Joint UNECE/OECD/Eurostat Meeting of experts on Business Register.
© Statistisches Bundesamt, Division IB, Institute for Research and Development in Federal Statistics Is the utilization of administrative data in short.
CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic Business Register in the Czech Statistical Office =DISSEMINATION.
September 12-14, 2006OECD-Eurostat Expert Meeting1 OECD-Eurostat Expert Meeting on Trade in Services Statistics Foreign Affiliates Statistics in Eurostat.
Case study for Austria Karin Gavac KMU Forschung Austria/Austrian Institute for SME Research SME definition including.
Administration of the Statistical Business Register Israel Study visit 22 October 2013 Vibeke Skov Møller Birgit Nielsen.
Armenia Twinning 2011 Component F – Information Society, 2 – 6 May DEVELOPMENT OF INFORMATION SOCIETY STATISTICS IN LITHUANIA Statistics.
Establishing a Statistical Business Register (BR)
Statistical Business Register– the Estonian experience
A register on Multinational Enterprise groups
CARICOM.
Good practices abroad / Cyprus case The OiRA implementation
Compilation and Dissemination of Distributive Trade Statistics
European profiling and the EGR
Civil society in figures: The identification of the Nonprofit Sector
Cooperation of statistical register and survey departments in Statistics Estonia 22nd Meeting of the Wiesbaden Group on Business Registers Tallinn,
Presented by: Xtrategy Ltd
Use of profiling for public sector in Switzerland
How to record samples in order to make respondent burden feasible
OECD-Eurostat Expert Meeting on Trade in Services Statistics
What is an NGO.
Measuring the Impact of Business Profiling in the UK Wiesbaden Group on Business Registers Profiling (Costs and Benefits) Tallinn, Estonia, September.
Re-engineering the French Business Register ( )
BR Initiative Improvement in China
Concept and Results of a Test Survey on Enterprise Delineation
Dublin, april 2012 Role of Business Register in coordinated sampling
Goals and objectives of Work package 2 of the ESSnet on Consistency of concepts and applied methods of business and trade-related statistics Norbert Rainer,
Assessment of National Accounts Compilation in the GCC Countries Giovanni Savio, Statistics Division, UN-ESCWA High level seminar on the implementation.
Workshop on Reporting Environmental Goods and Services
A new fantastic source for updating the Statistical Business Register
VAT data in Business Register and Business Statistics
A brief overview of the 2010 UNECE BR Survey results
Item 8a: Globalisation, Goods for processing and Quasi-transit trade
Basic Statistics on Korean SMEs
DEVELOPMENT OF IMPUTATION MODEL FOR SMALL ENTERPRISES
CARICOM TRADE IN SERVICES STATISTICS (CTIS)PROJECT June-December 2016
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Gülçin ERDOĞAN September 2013 Ankara.
Daliutė Kavaliauskienė Statistics Lithuania
Statistical units in the public sector
Session 7 – Eurostat 2017 SBR User Survey
The assessment of self-employment in the BR using multiple administrative sources: a close examination about definitional issues and methodology adopted.
Statistical Business Register– the Estonian experience
Environmental Protection Expenditure Accounts
Estimating as a Way of Improving and Completing Administrative Data
Michaela Grell – Unit G1 – SBS
Access to Big Data for Statistical Purposes
The profile of entrepreneurs in international trade businesses
Wiesbaden Group Neuchatel 24 – 27 September 2018
European profiling and the EGR
Challenges in the development of Croatian Statistical Business Register International Roundtable on Business Survey Frames – Wiesbaden Group on Business.
Presentation transcript:

Civil society in figures: The identification of the Nonprofit Sector 22nd Meeting of the Wiesbaden Group on Business Registers Tallinn, 27–30 September 2010 Natalie Rosenski, Federal Statistical Office of Germany, Business Register

Civil society in figures External clients Bertelsmann Foundation Fritz-Thyssen Foundation Stifterverband für die Deutsche Wissenschaft Participants Federal Statistical Office of Germany Scientists

Targets of the project Identification of the nonprofit sector Number of enterprises Number of employees Gross value Continous monitoring and survey Identification of issues and limits

Definition of the Nonprofit Sector United Nations‘ Handbook (2003): Organisations Private Non-profit-distributing Self-governing Voluntary

Basis: The German BR 3.6 million enterprises with Relevant variables: At least 17,500 euros consolidated turnover and/or At least one employee subject to social insurance Relevant variables: Name and address Legal form Economic activity Turnover and employees Affiliation to a group of companies

Implementation Automatic algorithm Manual allocation Economic activity and legal form Classification: Typical, potential and untypical Enterprises‘ names Positive and negative lists Manual allocation Samples Extrapolition Internet research

Preliminary results Legal form Economic activity Non NPI Maybe NPI NPI Enterprises 67% Employees 41% Enterprises 17% Employees 43% Only a few units Non NPI Enterprises 6% Employees 2% Enterprises 1% Employees 1% Only a few units Maybe NPI Enterprises 4% Employees 2% Enterprises 1% Employees 4% Enterprises 2% Employees 7% NPI

Limits of the project Information gap concerning: Result: Enterprises that neither have turnover nor employees Citizens‘ involvement Expenditures and earnings Result: Determination of the economic, but not the social importance

Thank you for your attention! Natalie Rosenski Phone: +49 611 754284 natalie.rosenski@destatis.de