Suchergebnisse

This paper utilizes a log-linear model to analyze data of "The Multipurpose Household Survey; Jordanians Abroad 1975". The findings indicate that the Jordanian emigrants are mainly young males (15–34 years of age) from the Amman District, most of whom have obtained the secondary school certificate. Only 41 percent of the emigrants left Jordan to work abroad. And only one person out of each 5.6 households left Jordan to live abroad.

This paper reviews the main characteristics of migration data for movements into and out of Thailand. It considers only international migration and it covers the following areas: 1) who collects and disseminates international migration data for Thailand; 2) what sorts of data are available; and 3) what are the major characteristics of these data. It is designed as a guide for persons using Thai migration data to help them interpret these data more clearly. The Thai government is the main collector and distributor of Thailand's international migration data, particularly the Ministry of Interior and the Central Statistical Office (administrators of the national population census). Other organizations such as academic research centers, non-governmental organizations, and foreign governments collect and disseminate Thai migration data on a smaller scale. The paper concludes with some brief suggestions about how to improve migration data collection and dissemination in Thailand.

What visual features characterize online migration data visualizations, and what do they suggest for the politics of representing migration and informing public attitudes? Audiences increasingly encounter quantitative information through visualization, especially in digital environments. Yet visualizations have political dimensions that manifest themselves through "conventions," or shared symbols and practices conveying meaning. Using content analysis, I identify patterns of representation in a sample of 277 migration data visualizations scraped from Google Images. I find evidence of several conventions including appeals to objectivity and traceability as well as perspectives and units of analysis centered on states—particularly higher income migrant destinations. Then, by locating my analysis within the growing field of digital migration studies, I argue these conventions potentially shape public attitudes and understandings about migrants, and contribute to broader migration politics involving categorization and quantification that have relevance both on- and off-line.

What visual features characterize online migration data visualizations, and what do they suggest for the politics of representing migration and informing public attitudes? Audiences increasingly encounter quantitative information through visualization, especially in digital environments. Yet visualizations have political dimensions that manifest themselves through "conventions," or shared symbols and practices conveying meaning. Using content analysis, I identify patterns of representation in a sample of 277 migration data visualizations scraped from Google Images. I find evidence of several conventions including appeals to objectivity and traceability as well as perspectives and units of analysis centered on states—particularly higher income migrant destinations. Then, by locating my analysis within the growing field of digital migration studies, I argue these conventions potentially shape public attitudes and understandings about migrants, and contribute to broader migration politics involving categorization and quantification that have relevance both on- and off-line.