Geographic mobility
Geographic mobility is the measure of how populations and goods move over time. Geographic mobility, population mobility, or more simply mobility is also a statistic that measures migration within a population. Commonly used in demography and human geography, it may also be used to describe the movement of animals between populations. These moves can be as large scale as international migrations or as small as regional commuting arrangements. Geographic mobility has a large impact on many sociological factors in a community and is a current topic of academic research. It varies between different regions depending on both formal policies and established social norms, and has different effects and responses in different societies. Population mobility has implications ranging from administrative changes in government and impacts on local economic growth to housing markets and demand for regional services.
Measurement
National geographic mobility data is available from census and public government records in the United States, the European Union, China and many other countries. International mobility data is available from tourism statistics and transportation carriers information. On the basis of these sources, the Global Transnational Mobility Dataset offers estimates of the number of people moving country-to-country on a yearly basis.United States
Mobility estimates in the Current Population Survey, produced by the United States Census Bureau, define mobility status on the basis of a comparison between the place of residence of each individual to the time of the March survey and the place of residence one year earlier. Non-movers are all people who were living in the same house at the end of the migration period and the beginning of the migration period. Movers are all people who were living in a different house at the end of the period rather than at the beginning. They are further classified as to whether they were living in the same or different county, state, region, or were movers from abroad. Movers are also categorized by whether they moved within or between central cities, suburbs, and non-metropolitan areas of the United States.The CPS includes information on reasons for a move. These include work-related factors, such as a job transfer, job loss or looking for work, and wanting to be closer to work. Housing factors include wanting to own a home, rather than rent, seeking a better home or better neighborhood, or wanting cheaper housing. Additional mobility factors include attending college, changes in marital status, retirement, or health-related moves.
European Union
The Eurobarometer survey measures mobility in a similar manner to the US census. Direct comparison of the two is difficult due to social constraints of traveling between countries in the European Union not encountered with interstate travel within the United States. Differences include language barriers, cultural resistance, and the added hurdle of international labour laws.China
Several scholarly surveys have been conducted to measure geographic mobility in China, but no single comprehensive census is available. Since the year 2000 the National Bureau of Statistics of China has added migrant worker estimates to their annual household survey. The Chinese Development Research Center of the State Council also undertook a study in 2010 characterizing the scope of migration for work and relevant statistics of that population. The survey measured demographics such as age, education level, job type, income, expenses, housing, and leisure activities.Other measures
Population turnover is a related statistic that measures gross moves in relation to the size of the population, for example movement of residents into and out of a geographic location between census counts.Influencing factors
Economic reasons
Most theoretical models attribute the desire to relocate to the impact of wages and salary and employment on personal expected earnings. The prospect of gainful employment in another region leads to movement to capitalize on new opportunities and resources unavailable in the original community. Perceptions, gaps in prospective incomes, availability of accurate information, and geographic distance all play a part in the decision to migrate. Studies have shown that unemployment rates statistically correlate to measured migrations in the EU. Further, there is evidence that comparable statistical results can be obtained using labor availability interchangeably with population migration data.Surveys show potential movers also face anxiety about the prospects of actually finding a suitable job in their new location. The capacity to migrate depends on current income or access to credit to support the move, and is always up to chance. Economists have shown that the decline in home values in the US in the late 2000s diminished state-to-state migration, with roughly 110,000 to 150,000 fewer individuals migrating across state lines in any given year. Socialized unemployment insurance programs help to increase individual liquidity and lessen the burden of search costs and movement risk. Research has shown that overall the presence of social insurance does not have a strong effect on the rate of personal movement because while it lowers relative movement costs, it also increases the opportunity costs of movement.
Current international laws present challenges to ideal geographic mobility. Migrants must have a physical means over which to travel to a new country. An increase in individual income was shown to increase access to long distance transportation and enable individuals more freedom of travel. Seeking a job in another country often requires sponsorship, visas, or may not even be possible in a given situation. Government support is in no way guaranteed for international geographic mobility. Existing language and cultural barriers also severely hamper geographic mobility on both regional and national levels.
Personal preferences
Personal preference factors besides economic logic can exert a strong influence on an individual's geographic mobility. Concerns such as climate, the strength of regional housing markets, cultural comfort, family, and local social capital all play into the decision to move or not. Individualization of the job market in industrializing countries has led to an increased preference among workers to follow market opportunities. Media driven self-awareness and highly individualistic symbolism exported from the western world have allowed people to imagine themselves living completely different lifestyles. Western media glamorizes the image of the self-sufficient youth, showing examples of both men and women who lead strong, individualistic, empowered lifestyles. Globalization has destabilized previously immutable social institutions, shifting cultural value away from old traditions to new more individualistic and market friendly ideas. This combined with a privatization and individualization of labor has in many ways made fluidity more the norm than structure.The availability of geographic mobility can also directly affect an individual's self-empowerment. Large numbers of women in South Korea, Japan, and China are taking advantage of newly available travel opportunities: experiencing life overseas and touring or studying. In South Korea progressive educational reforms have led to large numbers of women receiving higher level degrees, but structural inequality in the job market makes it difficult for them to get middle or upper class jobs. 93% of women graduate from high school and 63% from college, but only 46.7% of college grads are employed. Further, those employed women suffer from a 76% wage differential compared to like qualified men. Japan has similar structural issues where half of the employed women in the country only work part-time. Geographic relocation presents social opportunities to both seek a more favorable job climate and a social order more accepting of educated women. The prospect of greater control over their own lives and careers draws many of these young women to build their futures away from their immediate surroundings: 80% of Japanese people studying abroad are women.
Social forces
Social forces can also foster individual geographic mobility. Support from the community can increase the probability of relocation—it has been shown that the chances of migration in India improve when groups of houses from the same sub-caste all decide to move together. Worldly exposure also increase one's tendency to be mobile. Public health studies measured higher geographic mobility among female sex workers who: drank, had experienced violence, had worked for more than four years, and had a regular non-paying partner than those who did not. American World War II veterans, who had traveled to distant continents and then returned, were more willing to relocate for jobs than the previous generation of Americans.Demographically, research shows that one's level of education tends to correlate to higher mobility, especially among university graduates. Youth and a lack of a family or children correlate to increased mobility too, with the peak in mobility occurring in the mid to late 20s for populations surveyed in Europe.
Economic effects
Labor supply
Geographical mobility of labor allows the labor supply to respond to regional disparities, limiting economic inefficiencies. Low labor mobility quickly leads to inequality between static economic regions and a misappropriation of labor resources. Geographic mobility can help alleviate asymmetric shocks between regions with diversified economies, like in the European Union. A mobile population allows a region to shed workers when jobs are scarce and gives those workers the opportunity seek employment elsewhere where opportunities might be better. While an increase in geographic mobility increases overall economic efficiency, the increased competition for jobs on the local level in otherwise prosperous regions could lead to higher unemployment than before the migration.Female labor supply rates actually have larger statistical effect on mobility than male rates. Traditionally male jobs in the developing world have much more inelastic demand than female ones, so the variations in the female rate lead to more drastic changes in employment that more strongly affect mobility.