Latvia - Rural population

The value for Rural population in Latvia was 602,157 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 999,681 in 1960 and a minimum value of 602,157 in 2020.

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 999,681
1961 997,488
1962 993,516
1963 989,320
1964 984,866
1965 978,152
1966 967,696
1967 957,354
1968 948,617
1969 938,535
1970 926,845
1971 916,502
1972 907,433
1973 898,564
1974 889,963
1975 880,351
1976 869,146
1977 857,673
1978 845,721
1979 834,833
1980 826,475
1981 820,323
1982 816,982
1983 814,647
1984 812,604
1985 810,798
1986 811,634
1987 815,633
1988 819,593
1989 821,422
1990 818,919
1991 816,352
1992 814,314
1993 799,772
1994 783,926
1995 776,580
1996 770,339
1997 763,915
1998 760,337
1999 759,695
2000 756,030
2001 749,063
2002 742,721
2003 736,722
2004 726,462
2005 716,416
2006 710,606
2007 706,304
2008 700,357
2009 689,318
2010 674,553
2011 661,805
2012 653,077
2013 645,557
2014 638,967
2015 633,204
2016 626,640
2017 620,063
2018 613,959
2019 608,174
2020 602,157

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