Population People

Posted December 1999

Using agricultural census data for demographic purposes: some pros and cons

by Libor Stloukal
Population Programme Service
FAO Women and Population Division

Background

According to the 1996 UN population projections (UN, 1997), many poorer countries - especially in Sub-Saharan Africa and South Asia - will retain their predominantly rural character well into the twenty-first century. A large proportion of rural people in these countries are faced by pressing demographic problems - high infant and maternal mortality, widespread malnutrition, excessive out-migration of younger persons, rapid demographic ageing, etc. - which often have very serious implications for resource use and management, agricultural production, food security and sustainable rural development. In order to better understand the roots of such issues and to formulate appropriate policy advice, experts dealing with agricultural populations need sound information on the interface between population change and various features of rural environment and agricultural structure. Indeed, in view of the unprecedented magnitude of rural population problems in certain parts of the world, thorough statistical data on agricultural populations in developing countries appears to be more needed at present than ever before.

This paper focuses on the census of agriculture, which so far has been insufficiently explored as a possible data source for the examination of interactions between population and agricultural factors. Although agricultural censuses are primarily designed to describe agricultural holdings and thus can cover only a part of the agricultural population - i.e. holders, members of their households, and agricultural workers employed on holdings -, they could be a powerful tool for analysis because they provide a unique opportunity to link the information on the techno-economic structure of holdings with the demographic and employment characteristics of persons attached to them. The author gratefully acknowledges the helpful comments of J. du Guerny, A. Marcoux, S. Ogbuagu, M. Villarreal (Population Programme Service, Women and Population Division, FAO), L. Kabat, L. Naiken and A. Gonzalez-Villalobos (Statistics Division, FAO), and J. Vercueil (Agriculture and Economic Development Analysis Division, FAO), on a previous draft.

1. Introduction

A census of agriculture may be defined as a government-sponsored operation for the collection of quantitative information on agricultural structure, including that on persons attached to agricultural holdings, covering in principle the whole of a country within a given agricultural year. The history of modern agricultural censuses is quite long in some countries, beginning in 1840 in the United States. In the 1920s some attempts had been made to set up a world-wide agricultural census based on harmonized definitions and classifications, with the intention that the 1930 round be the first of a series of such censuses taken at ten-years intervals. However, it was only after World War II that international standards became more widely used in national agricultural censuses. Since 1950, FAO has been assisting countries in planning and conducting censuses of agriculture. Each of the decennial World Census of Agriculture Programmes prepared by FAO provided methodological guidelines for organizing national agricultural censuses. The six decennial Programmes - centred on 1950, 1960, 1970, 1980, 1990 and 2000 - gradually expanded the census scope while keeping structural aspects of the agricultural production sector as the central theme.

Agricultural census results can be used in many different ways, ranging from very general to very specific technical applications. From a strictly statistical viewpoint, the census data represents one of the most important components of the information system in a country and can serve as the basis for many other statistical activities related to food and agriculture, such as conducting various agricultural sample surveys. While the raison d’être of the agricultural census is no doubt the use of census data for agricultural development planning and formulation of national agricultural policies, a much wider application of census results is possible.

This paper looks at agricultural censuses from the point of view of their applicability for the analysis of linkages between certain aspects of rural population change, natural resources and agricultural factors. Its objective is threefold: (a) to provide an overview of demographically relevant items available from censuses of agriculture, (b) to discuss selected subject areas that can be studied using population data from agricultural censuses, and (c) to identify some of the problems of using agricultural censuses to examine interactions between agricultural factors and demographic phenomena. Because the agricultural census is of particular importance to countries in which significant segments of the population depend on agriculture for their livelihood, the focus of the paper is on developing countries.

2. Demographic information obtainable from a census of agriculture

The chief concern of an agricultural census is to describe holdings, crops, livestock and agricultural inputs. The primary unit of enumeration is the agricultural holding, which may be briefly defined as a techno-economic unit comprising all land and livestock used for agricultural purposes and operated under a single management, without regard to title or legal form (see full definition in Box 1). The census should, in principle, cover all holdings in the country. For practical reasons, however, the census enumeration is usually limited to those holdings which conform to certain recognized criteria (fall above prescribed limits of size, do not comprise land solely used for communal grazing, etc.).

Box 1

An agricultural holding is an economic unit of agricultural production under single management comprising all livestock kept and all land used wholly or partly for agricultural production purposes, without regard to title, legal form, or size. Single management may be exercised by an individual or household, jointly by two or more individual or households, by a clan or tribe, or by a juridical person such as a corporation, cooperative or government agency. The holding's land may consist of one or more parcels, located in one or more separate areas or in one or more territorial or administrative division, providing the parcels share the same production means utilized by the holding, such as labour, farm buildings, machinery or draught animals. The requirement of sharing the same production means utilized by the holding is necessary if the various parcels are to be considered as components of one economic unit. Economic units engaged solely in the following economic activities are not considered agricultural holdings and are therefore excluded from the census
  • hunting, trapping and game propagation
  • forestry and logging
  • fishing
  • agricultural services
(FAO, 1995, p. 25).

The collection of demographic information in the agricultural census is guided by two basic principles, each having important implications for data utilization:

Each FAO Programme for the World Census of Agriculture attempted, in one way or another, to cover some of the basic demographic and economic characteristics of persons belonging to the population of the holders’ households. FAO recommendations have typically been decided on the basis of extensive consultations with statistical offices in individual countries. Their evolution thus mirrors the collective experience of national and international organizations with the collection of agricultural information. To assist countries in deciding which types of data to monitor in an agricultural census, FAO’s practice has been to distinguish in its recommendations two categories of census items: proposed and essential. While the first category represents the sum of ‘desirable’ characteristics, the latter group comprises a subset of priority items that the FAO considers indispensable for comparison between countries and over time.

The 1970 FAO agricultural census programme (FAO, 1965), spanning the decade from 1966 to 1975, suggested that each person belonging to the population of the holders’ households be classified by age, sex, occupation (agricultural, non-agricultural), and intensity of agricultural activity (permanent, temporary, occasional). For the 1976-1985 decade, FAO recommended that in addition to the above items, information should also be collected about the relationship of household members to the holder. Furthermore, the recommendations stipulated that censuses should monitor the number and sex composition of hired permanent agricultural workers and the utilization of hired occasional agricultural workers on the holding. Apart from the sex of hired workers, all census items related to the population of the holders’ households were recommended as essential ones (FAO, 1976). The 1990 Programme contained similar recommendations, except that ‘relationship to holder’ was removed from the list of items proposed for household members (FAO, 1986). The most recent FAO guidelines on demographic characteristics to be monitored in agricultural censuses during the period 1996-2005 (FAO, 1995) are summarized in Box 3.

Box 3. Demographic and employment characteristics in the FAO Programme for the World Census of Agriculture 2000
Reference category Essential items Proposed items
Holders' household- Number of household members none
Members of holders' household (including the holder) - Age
- Sex
- Main occupation
- Whether engaged in more than one occupation
- Marital status
- Education
- Whether economically active or not
- Whether any work done on holding during the year
- Whether permanent or occasional agricultural worker on holding
Agricultural workers other than members of holder's household none- Whether permanent agricultural workers employed during year
- Whether occasional agricultural workers employed during year
- Number of permanent agricultural workers
- male (skilled or not)
- Number of permanent agricultural workers
- female (skilled or not)
Source: FAO (1995)

In each of FAO’s Programmes for the World Census of Agriculture, countries were cautioned against overloading the census with too broad a substantive coverage as this could complicate collecting and processing of data. Recognizing that countries differ in their capacity to carry out a census of agriculture, FAO Programmes have always included a recommendation that countries should tailor the agricultural census to their unique situation. Countries with poor statistical systems have been advised to restrict the scope to essential items, whereas statistically more developed countries have been invited to broaden their census objectives. Ultimately, however, it is up to the national authorities to choose the statistical topics to be monitored, and the classifications to be used, in the agricultural census in their country.

3. Applicability of agricultural census data for demographic purposes

Past studies of rural population change in developing countries have tended to focus on a rather limited set of ‘standard’ demographic variables obtained from general population censuses or specialized surveys: female education, residence, marriage patterns, contraceptive use, and the like. A key objective of collecting demographic data in a census of agriculture is to permit the study and analysis of the structural relationships between the holding characteristics and the characteristics of the persons associated with it. Thus, one of the main potential advantages of the census of agriculture is that it makes it possible to examine the linkages between demographic, social and economic phenomena at the micro level - i.e. the level of agricultural holdings - and to work with institutionally and economically quite sensitive descriptions of individual households. The logic underlying this approach is that the holding may be seen as a socio-economic entity which, among other activities, is engaged in agricultural production, but at the same time constitutes a demographic unit shaped by births, deaths, migrations and other demographic events. The argument is that attributes of the holding influence the decisions made by persons who live on it and experience a given socio-economic and cultural environment, and vice versa, that demographic characteristics influence agricultural output and food security.

There are many reasons to be interested in agricultural censuses as sources of information about persons associated with agricultural holdings. To keep the discussion within reasonable bounds, two subject areas will be considered in this paper: (a) demographic structure of the holders’ households, and (b) patterns of economic activity within households. The following paragraphs are largely theoretical and not intended to give concrete examples of analyses undertaken on the basis of available data. However, it needs to be emphasized that for the purposes of demographic analysis, the routinely tabulated information in the various census reports (such as those listed in FAO, 1997) might not be sufficient or suitable, and in most instances one would have to use the original micro-level data sets.

3.1 Demographic structure of agricultural households

Agricultural production is a central activity regulating many aspects of daily life in developing countries. Agriculture is organized around a corporate, family-based way of life in which the holders’ households constitute farm-family complexes combining both production and reproductive functions. It is within this context that both economic and demographic decisions are being made.

Available evidence indicates that at least two basic dimensions of the agricultural system are directly relevant to household structure: (1) the size of holding which a household has at its disposal for production purposes, and (2) the ownership conditions which influence the use of land and the distribution of products from it. These two dimensions have quite different implications for household size and composition:

In reality, of course, the links between land ownership, size of holding and household structure can be much less direct and straightforward than the above generalizations would imply. For instance, wealthy farmers who have enough land to divide up may not necessarily worry about excessive land fragmentation, and therefore may see little benefit in reducing the size of their households. On the other hand, family-formation decisions of small landholders who have little land to divide may be governed by factors beyond land ownership, some of which (such as overall increases in costs of childraising) may depress rather than boost their family size preferences. Moreover, even when an association between characteristics of holdings and household composition is evident, the interpretation of the underlying causal link may be difficult. Is household structure adapting to size of the holding, or vice versa? Does limited access to land lead to larger household sizes, or the reverse? Clearly, the mechanisms through which landownership or size of a holding interact with household composition will largely depend on to the specific geographic, cultural, socio-economic and institutional environments and production patterns within which they occur.

An agricultural census is capable of providing information on the interactions between demographic and economic attributes of the holdings enumerated in the census. In this respect, a particularly important property of the census is that it typically refers to very large numbers of observations and therefore covers a range of socio-economic and environmental contexts. This means that agricultural census data may be disaggregated in a number of ways - by demographic characteristics of members of households, patterns of land use and land tenure, types of agricultural production, agro-ecological zones, etc. - without running into the problem of small sample size, which is so often the case with sample surveys. A proper disaggregation of census data could thus be a very effective strategy to uncover, in an indirect way, the causal links between the demographic composition of the holders’ households and techno-economic features of agricultural holdings.

On the other hand, it must be recognized that certain components of the interplay of demographic and agricultural factors are very difficult to capture in agricultural censuses. For instance, unless the information about the relationship of household members to the holder is monitored, it is virtually impossible to assess the role of intra-household gender relations in influencing demographic and agricultural outcomes. In addition, the quality of demographic information collected in an agricultural census may not be high enough to permit detailed sub-classifications, thus posing serious obstacles to analysis. This may be especially the case in countries where resources for training of enumerators and verification of data are inadequate. In such circumstances, the sample survey approach may be a more efficient way to obtain more detailed and more reliable data on the population engaged in or dependent on agriculture.

While land distribution and tenure are probably crucial to most aspects of rural economic and demographic structure, there are many other themes that could be analysed using data from agricultural censuses. Examples of particularly promising topics include:

3.2 Patterns of economic activity in agriculture

lThe statistical study of employment in agriculture is primarily aimed at providing the information which would permit the formulation of programmes for the improvement of the standard of living of that population which obtains its livelihood through its activity in the agricultural sector: holders, members of their households, and other agricultural workers employed in the holding. Agricultural census data appears to be an important source for the evaluation of the nature of employment in agriculture and for the estimation of the relationship of employment to issues such as poverty and food security. Findings from the agricultural census could thus provide the basis for formulating more appropriate and effective social and economic strategies, including policies to create new jobs, establish appropriate services for farmers, or reduce possible negative effects of work-related migration on rural development.

The amount of agricultural work to be carried out on a holding is irregular and may change from day to day, depending on the weather and other agro-ecological conditions. It is also seasonal: there are times of year in which the work is intensive and others when it is negligible. For these reasons, analyses of agricultural census data need to focus on a longer, rather than shorter, time-reference period. Of interest is not only the total volume of work carried out on the holding but also its distribution according to socio-demographic characteristics of workers and the inter-relationships between agricultural work and the size, type and other characteristics of the holding.

The phenomenon of part-time farming is particularly important. Although often not measured, part-time farming has always existed in many developing countries and, recently, it has been gaining importance. Therefore, one of the objectives of the analysis of data on the agricultural population and employment should be the search for a coherent interpretation of this phenomenon in relation to the various economic activities of the members of the holder’s household and the characteristics of the holding.

From a demographic point of view, characteristics of economic activity of members of agricultural households are important primarily through their connection with childbearing and migration. For instance, while traditional patterns of agricultural production usually boost the need for child labour and, at times, foster immigration from poorer rural areas, the transition to more modern forms of agricultural production may reduce the need for labour, resulting in lower levels of fertility and immigration. Moreover, the more advanced forms of farming are often more capital-intensive and the money required for capital inputs is often obtained by temporary migration of some household members to urban areas or through their involvement in the rural off-farm labour market. In some contexts, regulation of household size through selective migration and fertility control may in fact be one of the chief strategies of coping with fluctuations on the local agricultural labour market. Evidently, fertility change and rural-urban migration are complex phenomena that are shaped by many factors, not just agricultural realities. However, ignoring the links between agricultural economic activity and demographic behaviour could lead to erroneous conclusions about the nature of rural population change and rural-urban migration, and, subsequently, to bad population and agricultural policies.

The more specific applications for the agricultural census data would be to bring to light the following topics:

4. Main problems of using agricultural census data

In theory, a census of agriculture should produce data that is highly relevant for investigating the linkages between techno-economic attributes of agricultural holdings and socio-demographic features of the holders’ households. In practice, however, the application of census data in analytical work can be complicated by a number of factors. Some of them are sketched out in this section.

4.1 Census scope

The main limitation of utilizing agricultural census data for demographic purposes stems from the fact that the census approach concentrates on agricultural holdings and thus does not focus on all the persons associated with agriculture but only on the population of agricultural holders, members of their households and hired workers employed on holdings. Consequently, certain components of the agricultural population - landless persons or persons engaged in activities such as fishing, hunting, forestry or agricultural services - are by definition not covered. This also means that demographic data produced by agricultural censuses are, as a rule, inconsistent with the concept of rural population as applied in population censuses. This limitation of the agricultural census methodology in providing a clear-cut picture of the agricultural population is probably the main reason why agricultural censuses are commonly ignored as sources of demographic data. Recognizing this shortcoming, FAO has repeatedly emphasized the need to supplement the agricultural census by special surveys (FAO, 1978).

Furthermore, in spite of the widely recognized importance of the agricultural census for the management and study of rural issues, a number of countries do not organize their national censuses according to FAO recommendations. A full-scale agricultural census is an expensive operation which some developing countries may find difficult to support. Besides, many countries have alternative sources for some of the information they need on persons working in or dependent on agriculture (for instance, population census or sample survey evidence) and therefore may be inclined to collect only selected data instead of conducting a full agricultural census. Given that the main aim of the agricultural census is to provide data on physical and technical characteristics of agricultural holdings, it is perhaps not very surprising that many countries tend to reduce the number of census items related to the population of the holders’ households, while some do not collect such information at all.

As an illustration, Table 1 shows to what extent demographic information had been collected in individual developing countries in the 1986-1995 round of agricultural censuses. Of the 56 developing countries which carried out a census of agriculture during that decade, 35 monitored the size of population belonging to agricultural holdings, 32 collected information on the sex composition of this population, and 26 also collected information on its age structure. However, this simple overview conceals substantial inter-country differences in the detail of demographically relevant information obtained. For instance, in monitoring ages of members of households, some countries asked respondents to present the information in single-year age groups, while others instructed them to use five-year age groups or even broader age categories. In some countries, classification by sex is available only for adult household members, etc. The practice of using cruder classifications or omitting certain demographic variables can seriously limit the scope for a demographic analysis of census results, and in some instances it may preclude such an analysis altogether.

Table 1. Coverage of demographically relevant items in agricultural censuses in developing countries, 1986-1995
Region / Country Census year

Demographically relevant items in the census:

  members of holder's household and hired permanent workers members of holder's household classified by sex members of holder's household classified by age
Africa

Benin

1992

x x x

Botswana

1993

x   x

Burkina Faso

1993

x x x

Cape Verde

1988

x x x

Congo, Dem. Rep. of

1990

x x x

Djibouti

1995

     

Ethiopia

1989/92

x    

Guinea

1989

x x x

Guinea Bissau

1988

x x x

Lesotho

1989/90

     

Libya

1987

x    

Reunion

1989

x x x

Sao Tome & Principe

1990

x x x

Swaziland

1993

     

Tanzania

1994/95

x x x

Uganda

1991

x x x

Zambia

1990

     
North and Central America

Bahamas

1994

x x x

Barbados

1989

x x  

Dominica

1995

x x x

Grenada

1995

x x x

Guadeloupe

1989

x x  

Honduras

1993

     

Martinique

1989

x x  

Mexico

1991

     

Panama

1990

     

Puerto Rico

1987

     

Saint Lucia

1986

     

St. Kitts & Nevis

1987

     

St. Vincent & Grenadines

1986

x x x
South America

Argentina

1988

x x x

Colombia

1988

x x x

French Guiana

1989

x x  

Paraguay

1991

x x x

Peru

1994

x x  

Uruguay

1990

     
Asia

Cyprus

1985

x x  

India

1986

     

Iran

1988

     

Korea, Rep. of

1990

x x x

Myanmar

1993

x x x

Nepal

1992

x x x

Pakistan

1990

x x x

Philippines

1991

     

Thailand

1988

x x x

Turkey

1991

     
Oceania

American Samoa

1990

     

Cook Islands

1988

x x x

Fiji

1991

x x  

Guam

1987

     

New Caledonia

1991

x x x

Niue

1989

     

Northern Mariana Isl.

1990

     

Palau

1989

     

Vanuatu

1993

     

Western Samoa

1989

x x x

Source: FAO (1997)

4.2 Comparability and reliability of population and employment data

The comparability of agricultural census data, be it among different countries at one point in time or within the same country over time, is greatly affected by differences in concepts and time references. For instance, in the 1990 round of agricultural censuses (FAO, 1997) some countries did not count those holders and household members who were absent at the moment of enumeration. In other countries, holders and members of their households were not counted if not living on the holding. Yet other countries included only those persons who slept the night preceding the census day on the holding. Similar problems exist in the area of employment. In principle, data on labour obtainable from agricultural censuses are based on the holder and on paid employees but frequently omit unpaid family members. One result of this can be a serious under-representation of female and child labour in some countries. Country practices differ also as regards the coverage of geographic areas that contribute relatively little to total agricultural production: urban or peri-urban areas, semi-deserted regions, etc. To exclude such areas may mean that important population sub-groups will not be represented in census results.

Comparability may also be hampered by different definitions of the minimum size of holding. FAO recommends that the minimum be set as low as practicable because of the importance of small holdings in contributing to agricultural production, but does not set a recommended minimum. Countries thus establish their own minimum, resulting in considerable variation from country to country so that data may not be easily comparable internationally. Yet the definition of the minimum size of holdings can also have important implications for analysis within individual countries. In most countries, people attached to very small holdings are likely to differ from the rest of the farm population in a number of demographic aspects: they may have a distinctive age and sex structure, display very specific patterns of economic activity, childbearing, migration, etc. Setting the minimum size of holding ‘too high’ may mean that the demographic picture obtainable from the agricultural census will be grossly incomplete; setting it ‘too low’ may result in some very atypical holdings being included. Countries should ideally define the minimum size of holding with respect to the existing distribution of agricultural holdings by population characteristics, to ensure that the census produces a demographically fair description.

Finally, a major obstacle to comparability stems from the fact that agricultural information is notoriously difficult to collect and therefore the census enumeration may not necessarily produce reliable data. Quality of census data depends on a host of factors, ranging from the respondents’ willingness and/or ability to supply the correct information to technical aspects of data collection, verification and processing. This is not to say that the agricultural census data are, by definition, of questionable value to population research; it does mean, however, that one should exercise greatest caution in using them.

4.3 Frames of reference

An implicit assumption of a demographic analysis of the agricultural census data is that the agricultural holding is the locus of economic as well as demographic decision-making, hence it makes sense to derive conclusions from observations made at the micro level. In some situations, however, larger institutional groupings than the holding may significantly influence the needs, the productive capacity, and the economic and reproductive behaviour of individual households. Examples of institutional forms that can play major roles in agrarian economic and demographic outcomes include, for instance: extended family networks, village or community structures, government administrative arrangements, legal systems, or international institutional and trade relations. When the agricultural realities are influenced by such broader ‘systems’, determinants of economic and demographic phenomena will not be fully identifiable at the household level. Such a limitation is by no means unique to agricultural censuses but applies also to general population censuses and many sample surveys. In order to avoid false generalizations, any serious examination of the linkages between population and socio-economic structure should begin with a careful examination of the basic institutional set-up in the population to be studied.

4.4 Cross-sectional nature of census data

Since the agricultural census is not a frequent data collection activity, it is natural to associate it with those aspects of agricultural structure which change relatively slowly. Data collected in censuses are by definition cross-sectional; it can be likened to an instantaneous photograph of the traits and characteristics of a particular agricultural setting at a specified point in time. The well-known problem with such ‘static’ data is that it cannot capture longitudinal information on processes that are dynamic in nature. Thus, agricultural census data can only indicate the possibility that at certain point in the past a certain event has taken place. This may be a serious drawback, especially in regard to economic and demographic adjustments that take place over the course of time: household size changes, migration of household members, changes in the area of cultivated land, changes in agricultural technology, etc. In more flexible agricultural systems such adjustments are likely to be of considerable importance, but an agricultural census will grasp only the resulting cross-sectional image of these phenomena.

A partial solution would be to use data from two or more consecutive censuses, but even such an analysis may not convey a comprehensive picture of developments over time. Besides, not all countries conduct their agricultural censuses in a way to enable inter-censal comparison. Take for example the information on sex of holder. As shown in Table 2, 52 less developed countries monitored this information in either the 1980 or the 1990 census round; however, only ten countries included this census item on both occasions. This illustration indicates that a detailed comparison of census results over time would be possible for only a minority of developing countries.

Table 2. Developing countries collecting information on sex of holder, 1980 and 1990 census rounds
Region / Country 1980 1990
Africa

Benin

  x

Botswana

x x

Burkina Faso

  x

Cape Verde

  x

Central African Rep.

x  

Congo, Dem. Rep. of

x x

Djibouti

  x

Ethiopia

x  

Kenya

x  

Lesotho

  x

Madagascar

x  

Malawi

x  

Niger

x  

Reunion

x x

Rwanda

x  

Sao Tome & Principe

  x

Sierra Leone

x  

Swaziland

  x

Tanzania

  x

Togo

x  

Uganda

  x

Zambia

  x
North and Central America

Antigua and Barbuda

x  

Bahamas

x x

Belize

x  

Dominica

  x

Grenada

x x

Guadeloupe

x x

Guatemala

x  

Jamaica

x  

Martinique

x x

Saint Lucia

  x

Trinidad and Tobago

x  

South America:

   

French Guiana

x x

Paraguay

x  
Asia

Bahrain

x  

Cyprus

x x

Jordan

x  

Korea, Rep. of

x  

Myanmar

  x

Nepal

x x

Oman

x  

Philippines

x  

Saudi Arabia

x  

Sri Lanka

x  

Thailand

x  

Tonga

x  

Turkey

x  

Yemen Arab Rep.

x  
Oceania

Fiji

  x

Niue

  x

Western Samoa

  x
Source: FAO (1992, 1997)

5. Conclusion

The present demographic realities and future outlooks for the world highlight the crucial importance of agricultural populations in the less developed regions. Yet it is still not sufficiently recognised that the decisive actors in agricultural development in poorer countries are the individual households and that more attention needs to be given to household and community factors. Mainstream demographic research to date has tended to neglect the connection between the organization of agriculture and population change, except perhaps for a few generalized propositions, such as that children in agrarian settings contribute more to household income through their work and cost less than urban children. However, the effect of factors related to agricultural production is, arguably, at least as important as the standard socio-economic variables such as education, religion, proximity to urban centres, etc. Moreover, due to the centrality of issues such as land availability or organization of agricultural production to the well-being of farm populations, the potential impact of changing agricultural factors on demographic structure and patterns of behaviour can be substantial.

In many developing countries, censuses of agriculture could be one of the best sources of information on persons belonging to agricultural holdings. Evidence from an agricultural census is always important in its own right, and in many countries it may be of interest simply because of the unavailability of better data on rural people. But the agricultural census may also serve as a powerful tool for the study of the interrelationships between the characteristics of the holding and those of the persons associated with it. From the point of view of demographic analysis, the agricultural census provides a unique opportunity to link information on the techno-economic features of the agricultural holding on the one hand and the demographic structure and employment characteristics of the holder’s household on the other. Such a use of agricultural census data is clearly not free of technical problems and hence is unlikely to become a routine undertaking. Nevertheless, agricultural censuses do not deserve to be overlooked by those dealing with rural and agricultural population issues. Agricultural census data is readily available in a number of developing countries, often for several consecutive years, and provides a rich reservoir of information that can be analysed with little additional cost. Although the scope for demographic examination is inevitably limited by existing practices of monitoring population characteristics of agricultural holdings, agricultural censuses should permit the kind of disaggregated analysis which is usually impossible with in-depth surveys. In addition, analyses of the linkages between the organization of agricultural production and demographic behaviour of farm populations have the potential to expand the already existing understanding of rural demographic change and to address significant policy issues. Insights derived from agricultural censuses can then be used to guide policies and programmes to bring about a socially desired path of rural development.

The discussion of potentially important interrelationships between agricultural and socio-demographic factors presented in this paper by no means represent a complete catalogue of opportunities for using the data from agricultural censuses. It is clear, however, that several theoretical frameworks exist for demographic analysis based on this sort of evidence. Some will perhaps argue that an optimum basis for analysis would be obtained by matching the information collected through the census of agriculture and that obtained from the population census and relevant sample surveys. However, such matching is likely to be beset with a plethora of technical problems which are in general very difficult to solve, particularly in countries with weaker statistical systems and/or resource constraints.


References

FAO (1965) Program for the 1970 World Census of Agriculture. FAO: Rome.

FAO (1976) Programme for the 1980 World Census of Agriculture. FAO Statistics Series No. 1. FAO: Rome.

FAO (1978) Collecting Statistics on Agricultural Population and Employment. FAO Economic and Social Development Paper No. 7. FAO: Rome.

FAO (1981) 1970 World Census of Agriculture: Analysis and International Comparison of the Results. FAO: Rome.

FAO (1986) Programme for the 1990 World Census of Agriculture. FAO Statistical Development Series No. 2. FAO: Rome.

FAO (1992) 1980 World Census of Agriculture: Methodological Review. FAO Statistics Series No. 107. FAO: Rome.

FAO (1995) Programme for the World Census of Agriculture 2000. FAO Statistical Development Series No. 5. FAO: Rome.

FAO (1997) Report on the 1990 World Census of Agriculture. FAO Statistical Development Series No. 9. FAO: Rome.

UN (1997) World Urbanization Prospects: The 1996 Revision (Annex tables). UN Population Division: New York.

UN (1998) Principles and Recommendations for Population and Housing Censuses: Revision 1. Statistical Papers, Series M, No. 67/Rev.1. UN Statistics Division: New York.

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