Lithuania - Rural population growth (annual %)

The value for Rural population growth (annual %) in Lithuania was -0.569 as of 2020. As the graph below shows, over the past 59 years this indicator reached a maximum value of 0.550 in 1990 and a minimum value of -2.210 in 2011.

Definition: Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.

Source: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.

See also:

Year Value
1961 -0.030
1962 -0.280
1963 -0.485
1964 -0.522
1965 -0.573
1966 -0.620
1967 -0.685
1968 -0.805
1969 -1.048
1970 -0.975
1971 -1.089
1972 -1.485
1973 -1.665
1974 -1.784
1975 -1.902
1976 -2.000
1977 -2.076
1978 -2.206
1979 -1.997
1980 -1.580
1981 -1.473
1982 -1.378
1983 -1.297
1984 -1.306
1985 -1.294
1986 -1.218
1987 -1.167
1988 -1.172
1989 -0.317
1990 0.550
1991 0.355
1992 0.073
1993 -0.290
1994 -0.513
1995 -0.586
1996 -0.577
1997 -0.558
1998 -0.542
1999 -0.527
2000 -0.521
2001 -0.621
2002 -0.528
2003 -0.538
2004 -0.850
2005 -1.596
2006 -1.809
2007 -1.401
2008 -1.242
2009 -1.092
2010 -1.841
2011 -2.210
2012 -1.712
2013 -1.381
2014 -1.230
2015 -1.312
2016 -1.687
2017 -1.859
2018 -1.457
2019 -0.811
2020 -0.569

Development Relevance: The rural population is calculated using the urban share reported by the United Nations Population Division. There is no universal standard for distinguishing rural from urban areas, and any urban-rural dichotomy is an oversimplification. The two distinct images - isolated farm, thriving metropolis - represent poles on a continuum. Life changes along a variety of dimensions, moving from the most remote forest outpost through fields and pastures, past tiny hamlets, through small towns with weekly farm markets, into intensively cultivated areas near large towns and small cities, eventually reaching the center of a megacity. Along the way access to infrastructure, social services, and nonfarm employment increase, and with them population density and income. A 2005 World Bank Policy Research Paper proposes an operational definition of rurality based on population density and distance to large cities (Chomitz, Buys, and Thomas 2005). The report argues that these criteria are important gradients along which economic behavior and appropriate development interventions vary substantially. Where population densities are low, markets of all kinds are thin, and the unit cost of delivering most social services and many types of infrastructure is high. Where large urban areas are distant, farm-gate or factory-gate prices of outputs will be low and input prices will be high, and it will be difficult to recruit skilled people to public service or private enterprises. Thus, low population density and remoteness together define a set of rural areas that face special development challenges. Countries differ in the way they classify population as "urban" or "rural." Most countries use an urban classification related to the size or characteristics of settlements. Some define urban areas based on the presence of certain infrastructure and services. And other countries designate urban areas based on administrative arrangements. Because of national differences in the characteristics that distinguish urban from rural areas, the distinction between urban and rural population is not amenable to a single definition that would be applicable to all countries. Rural population methodology is defined by various national statistical offices. In the United States, for example, the US Census Bureau's urban-rural classification is fundamentally a delineation of geographical areas, identifying both individual urban areas and the rural areas of the nation. "Rural" encompasses all population, housing, and territory not included within an urban area.

Limitations and Exceptions: Aggregation of urban and rural population may not add up to total population because of different country coverage. There is no consistent and universally accepted standard for distinguishing urban from rural areas, in part because of the wide variety of situations across countries. Estimates of the world's urban population would change significantly if China, India, and a few other populous nations were to change their definition of urban centers. Because the estimates of city and metropolitan area are based on national definitions of what constitutes a city or metropolitan area, cross-country comparisons should be made with caution. To estimate urban populations, UN ratios of urban to total population were applied to the World Bank's estimates of total population.

Statistical Concept and Methodology: Rural population is calculated as the difference between the total population and the urban population. Rural population is approximated as the midyear nonurban population. While a practical means of identifying the rural population, it is not a precise measure. The United Nations Population Division and other agencies provide current population estimates for developing countries that lack recent census data and pre- and post-census estimates for countries with census data.

Aggregation method: Weighted average

Periodicity: Annual

Classification

Topic: Environment Indicators

Sub-Topic: Density & urbanization