Liberia - Rural population

The value for Rural population in Liberia was 2,423,184 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 2,423,184 in 2020 and a minimum value of 856,859 in 1991.

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: 2018 Revision.

See also:

Year Value
1960 910,227
1961 921,942
1962 933,682
1963 945,523
1964 957,541
1965 969,836
1966 982,396
1967 995,230
1968 1,008,396
1969 1,022,046
1970 1,036,190
1971 1,050,832
1972 1,065,920
1973 1,081,544
1974 1,097,650
1975 1,114,204
1976 1,130,506
1977 1,146,401
1978 1,162,777
1979 1,180,958
1980 1,201,350
1981 1,224,925
1982 1,249,929
1983 1,271,493
1984 1,270,506
1985 1,236,535
1986 1,188,088
1987 1,129,046
1988 1,062,891
1989 993,940
1990 925,402
1991 856,859
1992 900,345
1993 948,639
1994 1,013,488
1995 1,104,933
1996 1,232,251
1997 1,318,868
1998 1,418,696
1999 1,512,160
2000 1,585,702
2001 1,634,320
2002 1,663,086
2003 1,681,272
2004 1,702,472
2005 1,736,140
2006 1,784,590
2007 1,843,745
2008 1,908,992
2009 1,972,982
2010 2,030,782
2011 2,081,318
2012 2,126,433
2013 2,167,289
2014 2,206,042
2015 2,244,165
2016 2,281,744
2017 2,318,337
2018 2,354,022
2019 2,388,948
2020 2,423,184

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