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Population, territory and sustainable development

The purpose of this document is to provide an overview of current trends, contexts and issues in the spheres of population, territory and sustainable development and examine their public policy implications. Three themes run through the report. The first two are laid out in the empirical chapters (III through X); the third is taken up in the closing chapter. Using the most recent data available (including censuses conducted in the 2010s), the first theme describes and tracks location and spatial mobility patterns for the population of Latin America, focusing on certain kinds of territory. The second explores the linkages between these patterns and sustainable development in different kinds of territory in Latin America and the Caribbean. The third offers considerations and policy proposals for fostering a consistent, synergistic relationship between population location and spatial mobility, on the one hand, and sustainable development, on the other, in the kinds of territory studied.

The purpose of this document is to provide an overview of current trends, contexts and issues in the spheres of population, territory and sustainable development and examine their public policy implications. Three themes run through the report. The first two are laid out in the empirical chapters (III through X); the third is taken up in the closing chapter. Using the most recent data available (including censuses conducted in the 2010s), the first theme describes and tracks location and spatial mobility patterns for the population of Latin America, focusing on certain kinds of territory. The second explores the linkages between these patterns and sustainable development in different kinds of territory in Latin America and the Caribbean. The third offers considerations and policy proposals for fostering a consistent, synergistic relationship between population location and spatial mobility, on the one hand, and sustainable development, on the other, in the kinds of territory studied.

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43<br />

Rodríguez <strong>and</strong> Meneses (2011) note that there are a number of factors that st<strong>and</strong> out when<br />

countries’ official data are compared with measurements based on alternative approaches. Firstly, all of<br />

the countries’ official figures overestimate the urban population, although the use of the cut-off point of<br />

2,000 inhabitants to define rural areas leads to very similar results to official estimates in terms of the<br />

figure for the rural population as a percentage of the total national population. Secondly, the size of the<br />

population in human settlements <strong>and</strong> territories classified as being between rural <strong>and</strong> urban areas is<br />

substantial, especially when using the approach defined by Chomitz, Buys <strong>and</strong> Thomas. Finally, the<br />

percentage of the urban population is also smaller when the approach used by Chomitz, Buys <strong>and</strong> Thomas<br />

is used.<br />

Other authors (C<strong>and</strong>ia, 2011; Rodríguez <strong>and</strong> Murillo, 2008) have developed slightly different<br />

versions of this methodology. The gradient that they use combines population density <strong>and</strong> the level of<br />

employment in agriculture, with the figures for population density being applied directly to digital<br />

population maps derived from population censuses.<br />

Density is therefore calculated on the basis of the next-smallest division after minor<br />

administrative divisions, with these “areas of analysis”; these areas are identified with the help of<br />

microdata <strong>and</strong> digital census maps. The economic activity variable is incorporated at a lower level, which<br />

is generally the unit used for the collection of census data. At that level, all the small areas in which at<br />

least 35% of the economically active population (EAP) is employed in agriculture are identified. Then,<br />

the units identified on the basis of this criterion are aggregated into areas of analysis. This makes it<br />

possible to determine the percentage of all small areas making up the area of analysis in which at least<br />

35% of the EAP is employed in agriculture.<br />

In the classification obtained using the proposed criterion, population groups residing in highdensity<br />

areas of analysis in which a significant proportion of the population is employed in agricultural<br />

activities are categorized as rural (see table IV.8).<br />

Average density<br />

per area of analysis<br />

(inhab./km 2 )<br />

Less than 50<br />

50 – 100<br />

100 – 150<br />

Table IV.8<br />

POPULATION DENSITY/ECONOMIC ACTIVITY GRADIENT<br />

Percentage of small areas within the area of analysis in which at least 35%<br />

of the EAP is employed in agriculture<br />

0% - 20% 20% - 40% 40% - 100%<br />

Low level of agricultural<br />

employment <strong>and</strong> low density<br />

(rural plus low level of agricultural<br />

employment = diversified rural)<br />

150 – 500 Low level of agricultural<br />

employment <strong>and</strong> high density<br />

500 – 1 000<br />

(urban)<br />

1 000 – 2 500<br />

2 500 or more<br />

Intermediate level of agricultural<br />

employment <strong>and</strong> low density<br />

(transitional rural)<br />

Intermediate level of agricultural<br />

employment <strong>and</strong> high density<br />

(transitional urban)<br />

High level of agricultural<br />

employment <strong>and</strong> low density<br />

(rural)<br />

High level of agricultural<br />

employment <strong>and</strong> high density<br />

(urban plus high level of<br />

agricultural employment =<br />

agricultural urban)<br />

Source: A. Rodríguez <strong>and</strong> J. Meneses, “Transformaciones rurales en Latin America <strong>and</strong> sus relaciones con la rural population”,<br />

paper presented at the Expert Meeting on <strong>Population</strong>, Territory <strong>and</strong> Sustainable Development, Santiago, Chile, 16-<br />

17 August 2011.

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