Fiji - Rural population

The value for Rural population in Fiji was 383,257 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 440,707 in 1986 and a minimum value of 276,691 in 1960.

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 276,691
1961 284,061
1962 291,701
1963 299,291
1964 306,406
1965 312,793
1966 318,330
1967 323,995
1968 329,368
1969 334,516
1970 339,624
1971 344,773
1972 349,927
1973 355,039
1974 360,036
1975 364,883
1976 369,464
1977 375,020
1978 381,053
1979 387,750
1980 395,361
1981 404,167
1982 413,866
1983 423,493
1984 431,691
1985 437,575
1986 440,707
1987 437,923
1988 433,140
1989 428,638
1990 425,408
1991 423,729
1992 423,187
1993 423,285
1994 423,281
1995 422,639
1996 421,358
1997 422,275
1998 423,094
1999 423,188
2000 422,472
2001 420,798
2002 418,292
2003 415,506
2004 413,193
2005 411,863
2006 411,749
2007 412,599
2008 412,990
2009 412,665
2010 411,241
2011 408,559
2012 404,885
2013 400,722
2014 396,694
2015 393,264
2016 390,533
2017 388,346
2018 386,545
2019 384,906
2020 383,257

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