Lithuania - Rural population

The value for Rural population in Lithuania was 961,875 as of 2016. As the graph below shows, over the past 56 years this indicator reached a maximum value of 1,682,134 in 1960 and a minimum value of 961,875 in 2016.

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. Aggregation of urban and rural population may not add up to total population because of different country coverages.

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

See also:

Year Value
1960 1,682,134
1961 1,681,622
1962 1,676,921
1963 1,668,810
1964 1,660,120
1965 1,650,640
1966 1,640,440
1967 1,629,241
1968 1,616,181
1969 1,599,338
1970 1,583,816
1971 1,566,663
1972 1,543,567
1973 1,518,073
1974 1,491,226
1975 1,463,127
1976 1,434,155
1977 1,404,686
1978 1,374,043
1979 1,346,871
1980 1,325,756
1981 1,306,374
1982 1,288,491
1983 1,271,886
1984 1,255,379
1985 1,239,243
1986 1,224,239
1987 1,210,036
1988 1,195,932
1989 1,192,151
1990 1,198,728
1991 1,202,992
1992 1,203,869
1993 1,200,385
1994 1,194,240
1995 1,187,261
1996 1,180,429
1997 1,173,860
1998 1,167,517
1999 1,161,377
2000 1,155,337
2001 1,148,181
2002 1,142,134
2003 1,136,002
2004 1,126,390
2005 1,108,561
2006 1,088,684
2007 1,073,533
2008 1,060,278
2009 1,048,760
2010 1,029,629
2011 1,009,210
2012 997,797
2013 989,229
2014 981,698
2015 972,912
2016 961,875

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: Sum

Periodicity: Annual

Classification

Topic: Environment Indicators

Sub-Topic: Density & urbanization