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International Migration Statistical Data Collection and management

International Migration Statistical Data Collection and management. Presented by Stephen Macharia, United Nations Population Fund (UNFPA). International Migration Statistical Data Collection. Count them here . Or here or. ..and develop this!. Session objectives.

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International Migration Statistical Data Collection and management

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  1. International Migration Statistical Data Collection and management Presented by Stephen Macharia, United Nations Population Fund (UNFPA)

  2. International Migration Statistical Data Collection Count them here Or here or

  3. ..and develop this!

  4. Session objectives At the end of the session, participants will be able to: • Define migration concepts • Explain why migration data is important • List factors leading to migration • Recognize sources of migration data • List attributes for migration data • Understand migration data quality aspects • Understand steps involved in data managt’ plan • Identifychallenges in migration data • Have consensus on the way forward

  5. Definitions Migrant Internal migrant International migrant Immigrant Emigrant Net Migration

  6. Why migration data? To provide accurate, efficient and effective information: • Calculate Population growth – Natural increase + net migration • Development • Health • Gender • Security • Labour, environment, etc.

  7. Beneficiaries: • Governmental policy/decision makers • Research institutions as well as individual researchers • Civil society and others • Migrants themselves for investment, forecasting and know-how

  8. Factors leading to migration &

  9. Sources of data • Issuance of visas, resident permits, work permits • Household-based • Censuses • Surveys • Survey of emigrants (out of the country) • Department of Immigration – border statistics • International Organisations e.g. ILO, UNHCR

  10. Attributes for migration data • Age, Gender, Place of birth, including Country • Current residence • Duration of stay • Previous residence • Destination of emigrant

  11. Attributes for migration data • Year/date of entry/departure • Reason for migration • Profession • Citizenship • Remittances- amount, frequency, purpose, etc.

  12. Data analysis • Definitions – quality starts from data collection • Availability • Usability, Structure, and Accessibility • Validity and accuracy • Timeliness, Frequency • Responsibility

  13. DEVELOPING A MIGRATION DATA MANAGEMENT PLAN/STRATEGY FOR KENYA • Data Inventory • Physical Resources • Software • Personnel Resources • Financial Resources • Customers and their profiles – Know your data users

  14. Challenges in migration data • Lack of adequate data • Lack of centralised migration data • Inadequate human capacity/experts • Lack of timeliness, accuracy and comparability of existing data • Magnitude of irregular migrants difficult to quantify

  15. Call for Action • Design an analytic framework for international migration • Allocate more resources to statistical units • Develop computerised systems to capture and analyse data • Provide training on data base management • Compile (and update) available information • Develop explicit national migration policies

  16. “A simple way to take measure of a country is to look at how many want in.. And how many want out.” Tony Blair

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