Халық және тауарлардың географиялық қозғалмалылығы

Measure of how populations and goods move over time
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.

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. .

Mobility estimates in the Current Population Survey (CPS), 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.

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.

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.

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.

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 (a relatively mobile society). 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. Media driven self awareness and highly individualistic symbolism exported from the western world have allowed people to imagine themselves living completely different lifestyles. 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.

With heightened self awareness, educated women hope to grasp opportunities from moving, leading to increased female individualization and empowerment. Women surveyed in England were less likely overall than men to have drivers licenses and took longer to get to key destinations. Women often seek work closer to home compared to men, taking jobs in a more geographically confined area and relying more on non automobile transportation. Access to personal transportation can improve women's choice of feasible destinations and decrease average trip time. The loss of established strong ties decreases social support and can lower productivity, especially among adolescents. Geographic isolation from previous relationships increases personal dependence on the nuclear family unit and can lead to power unbalances within the household. Migration for work allows the migrants themselves to develop new skills and receive new technical training abroad. Increased global mobility has helped to destabilize the prospects of young people looking for reliable work and led to a greater assumption of risk on behalf of young people. Coping strategies push them to put off long term commitments, decreasing the formation of families and lowering birth rates. Labor market volatility increases the dangers of settling down since incomes are cannot be relied upon long term. Women in the workplace also face more disincentives to having children since they could be more easily replaced if forced to leave their job temporarily.

Increased geographic mobility increases the depth and quality of cultural exchange between communities. Rapid turnover can lead to cultural isolation and sometimes prevents neighbors from building close cohesive relationships. Long distance connections require more time to visit and minimizes the occurrence of unplanned social interaction. Increased mobility can decrease an individual's attachment to a local community and weaken local support networks. People often turn to information technology to maintain connections across distance, strengthening distance relationships and allowing people to pursue career opportunities despite geographic distance from a partner.