1 Confidentiality and statistics on grids Vilni Verner Holst Bloch MSc. landscape ecology and natural resources Statistics Norway Otervegen 23 N - 2225.

Slides:



Advertisements
Similar presentations
Grids and GeoStatistics
Advertisements

C Introduction to the Geostat project Session on User needs (Geostat workshop in Bled 1-3 october 2008) Lars H. Backer
1 1 Plan for use of GIS in front of Census of Agriculture and Forestry 2010 Mr. Geir Inge Gundersen Senior Adviser Statistics Norway
1 1 WMS and statistics on grids Introduction of WMS in Statistics Norway Marianne Vik Dysterud Statistics Norway European Forum for Geo-Statistics,
1 The ESSnet project GEOSTAT Vilni Verner Holst Bloch Coordinator of ESSnet project GEOSTAT 1A Statistics Norway Representing Census data in a European.
1 1 Effects of attrition in the Norwegian Survey on statistics on income and living conditions Marit Wilhelmsen Statistics Norway Q European Conference.
The EFGS 2009 Meeting in Den Haag 5-7 October /05/2015Lars H. Backer1.
Application for presenting census results in the context of statistical data confidentiality in Poland Amelia Wardzińska-Sharif Central Statistical Office.
1 Disclosure control and small area statistics Vilni Verner Holst Bloch Cand.scient. landscape ecology and natural resources Statistics Norway Otervegen.
1 Dynamic Socio – economic mapping of Neighbourhoods Vilni Verner Holst Bloch Cand.scient. landscape ecology and natural resources Statistics Norway Otervegen.
GIS System for Enumeration Areas Planning CSB of Latvia in cooperation with State Land Service of Latvia European Forum for Geostatistics 2008 Workshop.
Eileen O. Hokaasen / Ola Nordbeck
Access to emergency hospitals A GEOSTAT 1B case study EFGS Conference th October Sofia, Bulgaria.
Lisbon, 12th October 2011 Creating 2001 to 2011 population grids using Census Geography Bart-Jan Schoenmakers Department of Methodology and Information.
Use of GIS in the Hungarian Central Statistical Office ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production.
Seminar on “Spatial statistics” Session 1: Use of statistical grids in official statistics Conference of European Statisticians, Paris, Fifty-eighth plenary.
Basque Statistics Office Confidentiality Project: Final stages Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality Tarragona, Spain,
1 The GEOSTAT project Vilni Verner Holst Bloch MSc. landscape ecology and natural resources Statistics Norway Otervegen 23 N Kongsvinger Tel : ++47.
Finland Sharing experience ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment Statistics.
1 REGIO gis The use of geostatistics for the analysis of Europe’s regions Hugo Poelman European Commission – DG Regional Policy
Igor Kuzma, Statistical Office of the Republic of Slovenia Tomaž Žagar, Geodetic Institute of Slovenia GIS Portal – dissemination of geostatistics
Accreditation practices at the Hungarian Central Statistical Office Zoltán Vereczkei Methodology Department Hungarian Central Statistical Office
GIS IN CROATIAN BUREAU OF STATISTICS ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment.
Discussion: Data Protection Call for a European Guideline on Thresholds (Rules of Confidentiality / Disclosure Control / Number Suppression / …) Ingrid.
Daniel Beckler United States Department of Agriculture National Agricultural Statistics Service Timothy Mulcahy NORC at the University of Chicago Topic.
Production of grid based statistics in Statistics Estonia Kreet Masik, Leading GIS specialist.
1 Guidelines for production and steps towards harmonisation Marja Tammilehto-Luode Population Statistics Statistics Finland FI Statistics Finland.
USE OF GIS TECHNOLOGY IN STATISTICAL OFFICE OF ESTONIA NORDIC FORUM FOR GEO-STATISTICS , COPENHAGEN Inge Nael HEAD OF GIS SECTION MARKETING.
Use of GIS in CSO, Ireland ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment Statistics.
1 The ESSnet project GEOSTAT 1A/B Vilni Verner Holst Bloch Coordinator of ESSnet project GEOSTAT 1A Statistics Norway Representing Census data in a European.
Statistical Production and Spatial Information Infrastructure in Spain Huge work ahead in a complex crossroad. ESTP course on Geographic Information Systems.
ROMANIA GIS at NIS ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment Statistics Norway,
1 Data capture in production of geostatistics ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment.
Delineating population clusters Applying grid methods Niek van Leeuwen Statistics Netherlands
European Topic Centre on Biological Diversity Range.
Geostatistics and maps A tentative plan for a project European Forum for Geostatistics, October 2008.
The EFGS project a common voluntary cooperation Vilni Verner Holst Bloch President of European Forum for Geostatistics Statistics Norway EFGS 2013 conference.
Sharing experience Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give.
Collaboration between Statistics Belgium and NMCAs Statistics Belgium IGN/NGI Land Registration Authority Pierre Jamagne GIS unit Statistics Belgium EFGS.
United Nations Statistical Commission CensusInfo Learning Centre, 22 February 2010 CensusInfo Project in the Context of the 2010 World Population and Housing.
European population grids, from Models to Official Statistics Ekkehard Petri (Janusz Dygaszewicz)
GIS at Statistics Norway March 2012 ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment Statistics.
1 Production of grid statistics Methods for producing and harmonise statistics on grid ESTP course on Geographic Information Systems (GIS): Use of GIS.
Data disclosure control Nordic Forum for Geography and Statistics Stockholm, 10 th September 2015.
PRODUCTION PROCESSES FOR A HARMONISED E UROPEAN POPULATION GRID Marja Tammilehto-Luode Rina Tammisto Statistics Finland October 2012European Forum.
1 How to produce population gridded data - the aggregation approach Ola Nordbeck Statistics Norway.
The EFGS project a common voluntary cooperation Vilni Verner Holst Bloch President of European Forum for Geostatistics Statistics Norway EFGS 2014 conference.
EFGS 2014 Krakow General assembly The EFGS Executive Team The European Forum for (the Integration of ) Geography and Statistics (EFGS) October The.
Market watch/Business report – Grid statistics Mr. Erik Sommer, EFGS Expert Group for Business Models, Denmark. European Forum for Geostatistics.
M O N T E N E G R O Negotiating Team for Accession of Montenegro to the European Union Working Group for Chapter 18 – Statistics Bilateral screening: Chapter.
GIS in Central Statistical Office
Dissemination of Sensitive Variables on a Grid Dataset :
The past and present of the EFGS project
Dissemination of results from 2010/2011 censuses
Achievements and plans in GISCO
Service- and business areas
Closing session - Evaluation of the course
European Forum for GeoStatistics
Summing up - Tour de Table
The European Forum for Geostatistics
Country report - Sweden
Population Census and European Neonatal Health Statistics
The Norwegian Harmonisation to LUCAS
Case study Using proper technique for representing statistics on maps
Cordination of Geographic Information in the Commission and the ESS
Discussion Case study - mapping techniques
The bottom-up approach: Challenges in the production of statistical grid data Rina Tammisto European Forum for Geostatistics, Workshop 1- 3 October 2008.
Urban Statistics on a national scale in the Netherlands
The GEOSTAT project Work Package 2 Geostatistics Working Party/Meeting
How to GEOSTAT census data?
Presentation transcript:

1 Confidentiality and statistics on grids Vilni Verner Holst Bloch MSc. landscape ecology and natural resources Statistics Norway Otervegen 23 N Kongsvinger Tel : ++47 / Fax : ++47 / A proposal on common rules for handling confidentiality to the Board of Confidentiality at Statistics Norway The European Forum for Geostatistics workshop in Haag, Netherlands 5th – 7th of October 2009 “bridge the gap” between theory and practice in GeoStatistics Session 1: Small area statistics Bjørn Thorsdalen Population Statistics Statistics Norway Otervegen 23 N Kongsvinger Tel : ++47 / Fax : ++47 /

2 Overview of the presentation Background System of grids for national statistics Examples on confidentiality issues Different confidentiality rules Examples on use of todays confidentiality rules Guidelines for grid statistics Further work

3 Background A) Requests from users (insurance companies, scientists, companies with localisation or marketing issues, general public, education puposes) B) Internal drive within Statistics Norway (coming GIS and censuses) C) Partnership in National INSPIRE Forum (obligations) D) New possibilities (better presentation of spatial statistics, spatial analysis etc) The more users need, and we produce, the more crucial common rules for confidentiality becomes

4 4 Norwegian Mapping and Cadastre Authority FIREWALLFIREWALL Geodatabase Statistical base registers Statistics Statistics Norway ArcGIS coverages, shape files etc. WMSssb.no Statbank External WMS/WFS providers Local Copy ”Wall of confidentiality”

5 Statistical grids for Norway Grid nameCell size Number of cells SSB100m (1) 0.01 km cells SSB125m (1) 0.01 km cells SSB250m (1) km cells SSB500m (1) 0.25 km cells SSB1km1 km cells SSB5km25 km cells SSB10km100 km cells SSB25km (2) 625 km2 500 cells SSB50km (2) km2 150 cells SSB100km (2) km2 40 cells SSB250km (2) km2 10 cells SSB500km (2) km2 4 cells (1)Because of limitations in many software packages and for practical use, these grids are recommended as grids with a county coverage. (2) These grids might also cover sea territories. Number of cells refers to coverage of Norwegian mainland. One has however to be aware of deviations in grid cell areas for regions remote from the Norwegian mainland and Svalbard.

6 Number of farms. 1x1km  1 – 3 farms  4 or more farms Confidentiality examples

7 Building stock. 100x100m  1 – 3 buildings  4 or more buildings Confidentiality examples

8 Night time population. 1x1km. Year 2000 over  1 – 9 persons 2000  10 or more 2000  1 – 9 persons 2008 (new settlements)  10 or more 2008 (new settlements) Confidentiality examples

9 Number of enterprises. 1x1km  1 – 3 enterprises  4 or more enterprises

10 Leisure homes. 1x1km  1 – 3 leisure homes  4 or more leisure homes Confidentiality examples

11 Night time population. 1x1km. Year 2008 over  1 – 9 persons 2000 (abandond cell)  10 or more persons 2000 (abandond cell) Confidentiality examples

12 Confidentiality examples Number of grid cells and inhabitants by grid cell sizes. Per cent. Share of grid cells with less than N persons Share of persons in grid cells with less than N persons N > 101 N > 51 N > 31 N > 11 N > 4 N > 101 N > 51 N > 31 N > 11 N > 4

13 Confidentiality examples Frequency of agricultural enterprises by 1x1 km grid cells.2008 Grid cells by number of agricultural enterprises Number of agricultural enterprises

14 Previous and existing rules for handling confidentiality on grids are not adequate. Confidentiality rules should be handled at lowest reasonable geographical level. Official statistics should not be given at all geographical levels/grid sizes. One should have a set of limits/treshold values dependent of the sensibility of the topics for statistics or quality of sources for statistics. Recommondation given to the Board of Confidentiality at Statistics Norway

15 The following has been recommended to the Board Recommondation given to the Board of Confidentiality at Statistics Norway 1.Total figures (persons, enterprises, buildings, dwellings) and non- sensitive variables (age, sex, building type, NACE code) do not need to be anonymised. 2.Statistics on sensitive variables can be given if total figures exceed threshold values. Threshold value is to be set by responsible department for each statistics, dependending on quality, sensitivity and details. Threshold values are fixed to total figures of 10, 30 or 50. No further anonymisation is done. 3.Grid sizes of 125mx125m and 500mx500m shall not be used for official statistics.

16 Work within the Geostat to make guidelines for handling confidentiality issues Adoptation of European rules for handling confidentiality in grid statistics ? Further work Thank you for your attention