Guidelines for Inter-Country Migration Data Exchange
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1 United Nations Economic Commission for Europe Statistical Division Guidelines for Inter-Country Migration Data Exchange Jason Schachter, Statistician United Nations Economic Commission for Europe Towards a More Comprehensive, Reliable and Regionally Comparable Data on Migration in the Russian Federation and the Broader Region, OSCE/IOM Seminar Moscow, March 26, 2013
2 Benefits of Data Exchange Provides information missing from regular national data collection systems (e.g. estimate number of citizens living abroad) Provides information about the characteristics and conditions of citizens living abroad Jason Schachter- UNECE Statistical Division Slide 2
3 UNECE related activities Task Force on Measuring Emigration (2005-8) Migration Clearing House database (12 CIS countries, ) Jason Schachter- UNECE Statistical Division Slide 3
4 UNECE Data Exchange Exercise Task Force on Measuring Emigration Templates Used To Exchange Data among participating countries Major Findings Data on flows more complete for destination countries than origin countries. Potential for sharing data to improve migration statistics was evident. Jason Schachter- UNECE Statistical Division Slide 4
5 Number of persons Example of inter-country comparison of data on migrants Data on flows from Italy to Switzerland 10,000 9,000 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1, Immigration data (provided by Sw itzerland) Emigration data (provided by Italy) 5/21/2013 Jason Schachter- UNECE Statistical Division Slide 5
6 Conclusions from data exchange exercise Immigration data from receiving countries can be used to improve estimates of emigration in sending countries Data on immigration is not always easily accessible by interested users (makes data exchange necessary) Need to develop guidelines for the exchange of data Consideration of creating a central clearing house for collecting and storing migration data to facilitate the accessibility of statistics; 5/21/2013 Jason Schachter- UNECE Statistical Division Slide 6
7 Guidelines for Exchanging Data to Improve Emigration Statistics General objectives Provide guidance to countries considering using immigration data of receiving countries for emigration estimates Draw attention of countries producing immigration data to the fact that countries of emigration are an important user of their data. Role for International Organizations in data collection Jason Schachter- UNECE Statistical Division Slide 7
8 Content of Guidelines Emigration data Critical issues when using immigration data as a possible source of emigration data Improving availability, quality, and accessibility of data Jason Schachter- UNECE Statistical Division Slide 8
9 Guidelines-based best practices Countries seeking emigration data Countries producing immigration data Guideline Applications CIS countries (regional perspective) Lead to creation of Migration Clearing House Database /Guidelines_improve_emigration_statistics.pdf Jason Schachter- UNECE Statistical Division Slide 9
10 Migration Clearing House Database Background Bishkek Workshop (2010) General Principles Platform for sharing and dissemination of basic data on international migration General Conditions Not duplicate other work Provide value Jason Schachter- UNECE Statistical Division Slide 10
11 Migration Clearing House Database Technical IT aspects Low requirments Organization aspects Focal points Collected bi-annually Jason Schachter- UNECE Statistical Division Slide 11
12 Migration Clearing House Database Accomplishments Created IT infrastrucutre and focal point network First round of data collection Limited Public release Jason Schachter- UNECE Statistical Division Slide 12
13 Next Steps (2013): Migration Clearing House Development Strategy Provide metadata for Tables in English and Russian Data review (complete evaluation of current data quality) Establish Regular Process for updating Data Data dissemination strategy Jason Schachter- UNECE Statistical Division Slide 13
14 Possible Additions National Data Sharing OSCE/IOM Tables of administrative data Jason Schachter- UNECE Statistical Division Slide 14
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