economic and social correlative tables methodology

Statistical Regulation, Planning, Standardization
and Normalization Division
(DIRPEN)
ECONOMIC AND SOCIAL CORRELATIVE
TABLES METHODOLOGY
2009
NATIONAL ADMINISTRATIVE DEPARTMENT OF STATISTICS
HÉCTOR MALDONADO GÓMEZ
Director
CARLOS EDUARDO SEPÚLVEDA RICO
Deputy Director
ALFREDO VARGAS ABAD
General Secretary
Technical Directors
EDUARDO EFRAÍN FREIRE DELGADO
Methodology and Statistical Production
BERNARDO GUERRERO LOZANO
Censuses and Demography
JAVIER ALBERTO GUTIÉRREZ LÓPEZ
Statistical Regulation, Planning, Standardization and Normalization
NELCY ARAQUE GARCÍA
Geostatistics
ANA VICTORIA VEGA ACEVEDO
Synthesis and National Accounts
CAROLINA GUTIÉRREZ HERNÁNDEZ
Dissemination, Marketing and Statistical Culture
Bogotá, D. C., 2009
© DANE, 2015
No reproduction, partial or full, may be undertaken without prior authorization from
the National Administrative Department of Statistics, Colombia.
Director of Statistical Regulation, Planning, Standardization
and Normalization Division (DIRPEN)
Javier Alberto Gutiérrez López
Technical Coordination
Martha Helena Ariza Buitrago
Technical team: Andrea del Pilar Roldán Cortés, Ángela Patricia Sarmiento
Robayo, Sonia Gutiérrez Rozo
Translation from Spanish: Ana Lucía Martínez Arias
Proofread in English: María Isabel Murillo
Proofread in Spanish: Sonia Marcela Naranjo Morales
Design
Direction of Diffusion, Trade and Statistical Culture
Publisher
Imprenta Nacional de Colombia (National Press of Colombia)
ISSN 0120 – 7423
Ed. 2009
CONTENTS
PRESENTATION……………………………………………………………………………………………6
INTRODUCTION……………………………………………………………………………………………7
1. BACKGROUND………………………………………………………………………………………….8
2. DESIGN………………………………………………………………………………………………….10
2.1 CONCEPTUAL FRAMEWORK………………………………………………………………….10
2.1.1 Objectives…………………………………………………………………………………….10
2.1.2 Reference framework………………………………………………………………………..10
2.2 METHODOLOGICAL DESIGN…………………………………………………………………..12
2.2.1 Basic components…………………………………………………………………………...12
3. PROCESSES INHERENT IN CLASSIFICATIONS…………………………………………………13
3.1 DEVELOPMENT OF CORRELATIVE TABLES……………………………………………….13
3.2 MAINTENANCE…………………………………………………………………………………...16
3.3 UPDATING…………………………………………………………………………………………16
4. DIFFUSION……………………………………………………………………………………………...17
4.1 DATA REPOSITORY MANAGEMENT…………………………………………………………17
4.2 DIFFUSION PRODUCTS AND INSTRUMENTS………………………………………………19
5. RELATED DOCUMENTATION……………………………………………………………………….19
GLOSSARY………………………………………………………………………………………………..21
BIBLIOGRAPHY…………………………………………………………………………………………..23
ACRONYMS
ACRONYM
A.C.
ECLAC
CINE
CNO - SENA
2003
CNO - SENA
2005
CNO - SENA 95
CNO - SENA 97
COICOP
CPC
CPI
DANE
DIRPEN
ILO
ISCO-88 A.C.
ISCO-88
ISIC
QMS
NSS
SENA
1
DEFINITION IN SPANISH
Adaptada para Colombia
Comisión Económica para
América Latina y el Caribe
Clasificación Internacional
Normalizada de la Enseñanza
Clasificación Nacional de
Ocupaciones SENA versión
2003
Clasificación Nacional de
Ocupaciones SENA versión
2005
Clasificación Nacional de
Ocupaciones SENA versión
1995
Clasificación Nacional de
Ocupaciones SENA versión
1997
Clasificación del Consumo
Individual según su Finalidad
Clasificación Central de
Productos
Índice de Precios al Consumidor
Departamento Administrativo
Nacional de Estadística
Dirección de Regulación,
Planeación, Estandarización y
Normalización
Organización Internacional del
Trabajo
Clasificación Internacional
Uniforme de Ocupaciones
adaptada para Colombia
Clasificación Internacional
Uniforme de Ocupaciones
versión 1988
Clasificación Industrial
Internacional Uniforme
Sistema de Gestión de Calidad
Sistema Estadístico Nacional
Servicio Nacional de
Aprendizaje
DEFINITION IN ENGLISH
Adapted for Colombia
Economic Commission for Latin
America and the Caribbean
International Standard
Classification of Education
National Classification of
Occupations SENA 2003 version
National Classification of
Occupations SENA 2005 version
National Classification of
Occupations SENA 1995 version
National Classification of
Occupations SENA 1997 version
Classification of Individual
Consumption According to Purpose
Central Product Classification
Consumer Price Index
National Administrative Department
of Statistics
Direction of Regulation, Planning,
Standardization and Normalization
International Labor Organization
International Standard
Classification of Occupations
Adapted for Colombia
International Standard
Classification of Occupations, 1988
version
International Standard Industrial
Classification
Quality Management System
National Statistical System
National Learning Service
1
Government agency chartered to provide vocational education to the Colombian workforce.
Bogotá D. C., Cundinamarca
2009
5
Economic and Social Correlative
Tables Methodology
PRESENTATION
The National Administrative Department of Statistics, DANE as the coordinator entity of
the National Statistical System (NSS), within the framework of the "Statistical Planning and
Harmonization" project works to strengthen and consolidate the NSS. This is carried out
through several processes such as: the production of strategic statistics; the generation,
adaptation, adoption and diffusion of standards; the consolidation and harmonization of
statistical information, and the connection of instruments, stakeholders, initiatives and
products. These actions are carried out in order to improve the quality of strategic statistic
information, and its availability and accessibility to respond to users demand.
In this context DANE, aware of the need and obligation to provide better products for its
users, developed a standard presentation guide for methodologies. The aim of this guide
is to contribute to the visualization and understanding of the statistical processes, allowing
further analysis, control, replicability and evaluation. The documents are presented in a
standard and comprehensive manner, thus facilitating the understanding of the main
technical characteristics involved in the processes and sub-processes of each research,
making them available for both specialized users and the general public.
These series of guides promote the transparency and credibility of the technical expertise
of DANE, for a better understanding and use of statistical information. This information is
produced according to the principles of coherence, comparability, integrality and quality of
the statistics.
Departamento Administrativo
Nacional de Estadística (DANE)
6
INTRODUCTION
DANE as the governing body of the NSS has the fundamental mission of guaranteeing
the availability, quality and impartiality of strategic statistical information for the social,
economic and political development of the country.
Aware of the need for efficient, timely and accurate information systems, DANE has
developed adaptation processes of the International Standard Industrial Classification of
All Economic Activities, Revision 2 (ISIC Rev. 2 DANE), Revision 3 (ISIC Rev. 3 A.C.) and
Revision 3.1 (ISIC Rev. 3.1 A.C.), the Central Product Classification Version 1.0 (CPC Ver.
1.0 A.C.) and the International Standard Classification of Occupations ISCO - 88 (ISCO 88
A.C.), by means of the Group of Nomenclatures and Classifications.
The adaptation processes are implemented by each country in compliance with the United
Nations Organization (UN) recommendations. These processes involve the preparation of
correlative tables that enable the relation of a particular classification in terms of another
and, at the same time, the interrelation of the different hierarchical levels of classifications
between the original classification and its adapted version. This facilitates the adoption,
adaptation and interpretation of a statistical classification.
DANE’s Nomenclatures and Classifications group developed correspondence tables
between the different versions of the adapted classifications, in order to make them
equivalent. These tables provide the required information to users for various types of
sectoral analysis. This work is supported by decree 262 dated January 28, 2004, article
17.
The methodological document presented below is aimed at facilitating the understanding
of the statistical information produced by DANE, given that this document provides
standard guidelines on how to prepare correlative tables, in order to simplify the consulting
process for various types of users and to speed up the understanding and use of statistical
information.
The document is divided into four parts, the first of which presents the history of economic
and social correlative tables; the second part presents the conceptual and methodological
design of correlative tables, the third part presents the activities involved in the
development and maintenance processes for correlative tables and the last part explains
the mechanisms for disseminating these instruments to the NSS users.
Bogotá D. C., Cundinamarca
2009
7
Economic and Social Correlative
Tables Methodology
1. BACKGROUND
The Statistical Office of the United Nations and the International Labor Organization (ILO),
custodian of the International Standard Classification of Occupations, are the entities that
review and update their classifications, incorporating modifications according to the
countries’ socioeconomic needs and requirements. Subsequently these entities publish
new versions of the classifications adding the term Revision Nº or Version Nº to their
original name. As a result of this process, correlative tables are developed to complement
the adaptation or maintenance of economic and social classifications process.
Correlative tables enable:

The establishment of a correspondence level between classifications.

Standardization of collected data with other classifications.

To guarantee continuity of the existing statistical time series.

To facilitate the adoption and use of the classifications involved in the correlation of
the different categories that make up their structures, endorsing the update and
quality of statistical information for decision-making purposes.
The original version of the International Standard Industrial Classification of All Economic
Activities was published in 1958 with the acronym ISIC. In 1968 a second revision was
published adding the term Revision 2 to the acronym, ISIC Rev. 2. In 1990 the third
revision was made official identifying it as ISIC Rev. 3.
As for social classifications and specifically the Classification of Occupations, ILO
published its first edition in 1958. This was reviewed in 1968 and then adapted to
Colombia, naming it as “Clasificación Nacional de Ocupaciones – CNO-70” (National
Classification of Occupations – CNO-70).
DANE proceeded with the review of all of the country’s existing classifications in terms of
occupations, such as the “Clasificación Nacional de Ocupaciones CNO – 70” (National
Classification of Occupations – CNO-70), the International Standard Classification of
Occupations ISCO-88 and the “Clasificación Nacional de Ocupaciones SENA CNO-95”
(National Classification of Occupations SENA CNO-95), in order to determine which
classification would guarantee uniform treatment of statistical data on occupations at a
national level, and their international comparability.
In 1998 it was decided that ISCO-88 of the ILO presented the most appropriate structure
to facilitate the management of information on employment, labor certification and
occupational structure.
Departamento Administrativo
Nacional de Estadística (DANE)
8
In 2000, DANE prepared the first official document on economic correlative tables,
whereby the ISIC Rev. 3 A.C. was used as the basis classification and the following
correlative tables were published:

ISIC Rev.3 A.C. vs. ISIC Rev.3 International Version

ISIC Rev.3 adapted by DANE for the 1990 Economic Census. Vs. ISIC Rev.2 DANE
for the Annual Manufacturing Survey.
In 2005 DANE completed the adaptation process for Colombia, making the International
Standard Classification of Occupations available to users and the general public.
Consequently, and in view of the demands made by the users, correspondence tables
between the different national classifications of occupations and the ISCO-88 A.C were
developed. This was done to the highest level of disaggregation, corresponding to primary
groups – four digits - specifying the name of each occupation, and taking into account that
the classification proposed by the SENA is a matrix supported structure, thus making it
difficult to correlate more aggregated levels. For this reason, and in order to make the
consulting process more accurate without having to check each classification, the Social
Classifications’ group developed the following Correlative Tables:

National Classification of Occupations, CNO 70 Vs. International Standard
Classification of Occupations Adapted for Colombia, ISCO 88 A.C.

International Standard Classification of Occupations ISCO 88 A.C. Vs. National
Classification of Occupations, CNO 70.

International Standard Classification of Occupations Adapted for Colombia, ISCO 88
A.C. Vs. National Classification of Occupations SENA 2003.

National Classification of Occupations SENA 2003 Vs. International Standard
Classification of Occupations Adapted for Colombia, ISCO 88 A.C.

International Standard Classification of Occupations Adapted for Colombia, ISCO 88
A.C. Vs. National Classification of Occupations SENA 2005.
The following correlative tables were prepared in 2006, with the publication of the ISIC
Rev. 3.1 A.C:

ISIC Rev. 3 A.C. vs. ISIC Rev. 3.1 A.C.

ISIC Rev. 3.1 A.C. vs. ISIC Rev. 3.1 International version.

ISIC Rev. 3 A.C. vs. ISIC Rev. 3.1 International version.
Bogotá D. C., Cundinamarca
2009
9
Economic and Social Correlative
Tables Methodology
2. DESIGN
2.1 CONCEPTUAL FRAMEWORK
2.1.1 Objectives
General Objective
To serve as a tool for relating classifications of similar or different nature, systematically
explaining where and to which extent categories in a classification can be found in
previous versions of the same classification, or in other classifications.
Specific objectives

To facilitate the use of the classifications involved, correlating the different categories
that make up their structure.

To facilitate the use and adaptation of new classifications.

To standardize historical series, making comparisons between versions of the
adapted statistical classifications.

To guarantee comparability in statistical analysis by sectors of the economy.
2.1.2 Framework of Reference
Conceptual basis
A correlative table is the relation established between categories of two or more
classifications. This is done in order to transform data sets of a classification in terms of
another, making them equivalent regarding their structures and contents.
The fundamental basis to develop correlative tables depends on the study and analysis of
the classifications to correlate, thus making it necessary to have a broad knowledge of
their different components.
Correlative tables express the relation between different classifications for standardization
purposes. This relation shows the correspondence that exists between two classifications
regarding their categories, so that their structures and contents are equivalent.
Departamento Administrativo
Nacional de Estadística (DANE)
10
The baseline classification to prepare correlative tables is that as from where
correspondence to other classifications will be established. These classifications may be of
the same or different nature. Only one baseline classification can be chosen to prepare a
correlative table in a specific direction.
There are several types of relations applied to correlative tables between economic
classifications, namely:

One-to-one correlation: each code in the baseline classification has a corresponding
code in the classification with which the relation is established.

One-to-many correlation: each code in the baseline classification has more than one
corresponding code in the correlated classification.

Many-to-one correlation: more than one code in the baseline classification has
correspondence to one code in the classification with which the correlation is
established.
International References
The governing body of international economic classifications is the United Nations
Statistical Commission. This is where the original versions of the most important
classifications are developed and the technical recommendations for their use are made.
Given that economic statistics should be internationally comparable, the Commission
recommends the development of correspondence tables between classifications, to
guarantee such comparability.
Bogotá D. C., Cundinamarca
2009
11
Economic and Social Correlative
Tables Methodology
2.2 METHODOLOGICAL DESIGN
2.2.1
Basic components
The basic components of the Economic and Social Correlative Tables are built from the
international, multinational and national versions of all statistical classifications covered by
this study. The different categories in each classification are studied; these are
hierarchically arranged from the most aggregated level to the most disaggregated one, so
that each category of a lower level is fully contained in the higher-level categories.
Nomenclatures and classifications used
In order to have a better understanding of the work done in the development of correlative
tables, below is a list of the international, adapted and national classifications that have
been used, as well as the level of disaggregation applied in the process:

ISIC Rev.2 DANE, four digits.

ISIC Rev. 3 International, four digits.

ISIC Rev. 3 A.C., four digits.

ISIC Rev. 3.1 International, four digits.

ISIC Rev. 3.1 A.C., four digits.

ISIC Rev. 3 Economic Census, four digits.

CPC Ver.1.0, five digits.

COICOP, four digits.

IPC, seven digits.

National Accounts Nomenclature, Base 2005, six digits.

International Standard Classification of Occupations Adapted for Colombia, ISCO-88
A.C., four digits.

National Classification of Occupations, CNO-70, five digits.

International Standard Classification of Occupations ISCO-88 ILO, four digits.

National Classification of Occupations, CNO SENA versions 2003 and 2005, four
digits
Departamento Administrativo
Nacional de Estadística (DANE)
12
3. PROCESSES INHERENT IN CLASSIFICATIONS
3.1 DEVELOPMENT OF CORRELATIVE TABLES
The first issue to be considered is the identification of the classification that will be the
baseline for the development of the correlative table and the level of disaggregation
required to obtain and compare results.
The level of disaggregation is determined according to the correlative table’s usage
purpose. In addition, this could be conditioned by the availability of the information in hand.
The following steps have been established to start the process of developing a correlative
table:
1.
To study and analyze the explanatory notes and structure of the classifications
involved, identifying the elements that make them up, both in their conceptual basis
and their explanatory notes.
2.
To interpret correctly what is included and what is excluded in each classification
involved in the correlative table. In this process other international, national and
multinational reference classifications are used, that although not involved in the
correlative table could serve as bibliographic support to clear up doubts related to
interpretation of classifications. For example, in the case of correlative tables related
to adapted versions of the International Standard Industrial Classification of All
Economic Activities ISIC, the international versions of this classification should be
taken into account, to determine whether certain homologations were carried out
correctly.
3.
To define the baseline classification and locate the code and description of the
category to correlate in this classification.
4.
Complete the interpretive reading of the description, or explanatory notes of the
selected category code.
5.
Make use of bibliographic reference documentation, to guarantee quality in the
development of correlative tables.
6.
To establish the correlative table itself, making the relation between the baseline
classification code and the classification code with which the standardization is being
carried out. This relation should be consistent with the number of digits that were
previously defined.
Bogotá D. C., Cundinamarca
2009
13
Economic and Social Correlative
Tables Methodology
7.
Preparation of technical support to document the decisions made regarding code
assignment in the correlative table, or the modification of existing codes.
The table below presents a graphic example of the application of the aforementioned steps
to correlate ISIC Rev. 3 A.C. versus ISIC Rev. 3.1 International:
For this example, the group 251 of ISIC Rev. 3 A.C. is used, which will be identified as the
baseline classification:
This group classifies activities regarding the Manufacture of Rubber Products. For
Colombia the group has been disaggregated into four classes, while the international
version is made up of only two classes. The explanatory notes for each version of ISIC are
studied below, in order to determine the type of correlation to be established.
The correlation is carried out in all the disaggregation levels of the versions involved. To
begin with, the code of division 25 Manufacture of rubber and plastic products is taken
from the baseline version that corresponds to ISIC Rev. 3 A.C. Then, the ISIC Rev. 3.1
International is assessed, to verify if there is also a division 25 that can be related
according to its corresponding description.
The same procedure is carried out for the levels Group and Class. It is worth mentioning
that the homologation decision is made after the study and research of the bibliographic
documentation.
The result of this process is a many-to-one relation, where from it can be concluded that in
order to adapt the ISIC Rev. 3.1 the corresponding study of the sector is necessary to
determine if the activities included in these classes have a significant economic
representation for the economy of the country and thus keep the disaggregation;
otherwise, they can be aggregated in one single group, as indicated by the international
recommendation.
The following table shows how classes 2511 and 2512 of the ISIC Rev. 3 A.C. are
correlated with class 2511 of the ISIC Rev. 3.1 International and classes 2513 and 2519 of
the adapted classification are correlated with class 2519 of the ISIC Rev. 3.1 International.
Departamento Administrativo
Nacional de Estadística (DANE)
14
Bogotá D. C., Cundinamarca
2009
15
Economic and Social Correlative
Tables Methodology
3.2 MAINTENANCE
Adjustments within the application of the correlative tables’ framework should be made to
correct inconsistencies and fit them into the economic or social context, in the best
possible manner.
In order to complete the maintenance of correlative tables both the conceptual basis and
structure of the adapted classification should be understood and interpreted, as well as the
changes in the reference classification or in the country’s economic and social structure.
The latter based on the requirements or needs of maintenance or updating.
3.3 UPDATING
The update process refers to the review and adjustment of a correlative table in terms of
changes or novelties in the national, international or multinational reference classifications.
Departamento Administrativo
Nacional de Estadística (DANE)
16
4. DIFFUSION
4.1 DATA REPOSITORY MANAGEMENT
Correlative Tables are usually prepared in electronic spreadsheets that are stored in
magnetic media and kept in the coordination of the Nomenclatures and Classifications
group. In addition, monthly backups of the information produced by DANE are carried out,
in accordance with the provisions established in the policies of the Quality Management
System (QMS).
4.2 DIFFUSION PRODUCTS AND INSTRUMENTS
The products or results of the development of correlative tables by the group of
Nomenclatures and Classifications are presented below. They are available on the DANE
website and some are in hard copies of documents for consultation.

ISIC Rev. 3 A.C. vs. ISIC Rev. 2 DANE

ISIC Rev. 3 A.C. vs. ISIC Rev. 3 International

CPC Ver. 1.0 A.C. vs. ISIC Rev. 3 A.C. vs. HS vs. ISIC Rev. 2 DANE

ISIC Rev. 2 vs. ISIC Rev. 3 A.C.

ISIC Rev. 3 A.C. vs. ISIC Rev. 3.1 A.C.

ISIC Rev. 3.1 A.C. vs. ISIC Rev. 3.1 International

ISIC Rev. 3 A.C. vs. ISIC Rev. 3 Economic Census

IPC-CPC-COICOP

Correlative Table consultation application CNO 70 vs. ISCO 88 A.C.

Correlative Table consultation application ISCO 88 A.C. vs. SENA 2003 and SENA
2003 vs. ISCO 88 A.C.

ISCO 88 A.C. vs. SENA 2003

SENA 2003 vs. ISCO 88 A.C.

ISCO 88 A.C. vs. SENA 2005
Bogotá D. C., Cundinamarca
2009
17
Economic and Social Correlative
Tables Methodology

CNO 70 vs. ISCO 88 A.C.

ISCO 88 A.C. vs. CNO 70
Promotion and distribution of products
Correlative tables are published on the DANE website. These are also distributed in hard
copies of documents that contain them as annexes, when users require or request
updated classifications.
Software applications containing correspondence tables produced by DANE will be made
available to the users in the future, for consultation purposes. This will expedite research
of tables and their homologation with other classifications.
Departamento Administrativo
Nacional de Estadística (DANE)
18
5. RELATED DOCUMENTATION
The documents listed below were consulted for the development of economic
investigation correlative tables:

International Standard Industrial Classification of All Economic Activities, ISIC. This
is the international reference classification of productive economic activities. Its main
purpose is to provide a set of categories of activities that can be used for the
production of statistics by activity.

International Standard Industrial Classification of All Economic Activities, Adapted for
Colombia ISIC Revision 3 - ISIC Rev. 3 A.C. A document adapted from the
International Standard Industrial Classification ISIC Rev. 3 proposed by the United
Nations in 1989. It applies to productive economic activities and is the first
component of a unique classification system that DANE is committed to establish.

Central Product Classification CPC. Developed with the purpose of being used for
the production of statistics that require detailed information on products. It can be
said that the purpose of the CPC is to provide a framework for international
comparison of statistics on goods and services. It also serves as reference for
countries that are preparing a classification of products for the first time, or that
decide to review their information systems towards making them compatible with
international standards.

Consumer Price Index CPI. This indicator measures the average change over time in
the prices paid by household consumers in the country for a market basket of goods
and services. Results are analyzed according to groups, subgroups and type of
expenditure, and to basic expenses and income levels.

Classification of Individual Consumption Functions, COICOP. This is part of a set of
functional classifications currently in review. It is also part of the National Accounts
System since 1968, aiming at the classification of certain transactions carried out by
producer economic entities and three industrial sectors: households, Government
and non-for-profit institutions. The objective is to provide a framework consisting of
homogeneous categories of goods and services that resemble a function or purpose
of household expenditure, in order to classify transactions related to individual
consumption, social transfers and actual expenditure of households.

Correlative table between the National Classification of Occupations
the International Standard Classification of Occupations ISCO
methodological document that explains the homologation between
Classification of Occupations CNO-70 and the International Standard
of Occupations ISCO 88-A.C.
CNO-70 and
88-A.C.: A
the National
Classification
Bogotá D. C., Cundinamarca
2009
19
Economic and Social Correlative
Tables Methodology

Correlative table between the Classification CNO SENA 2003 and the International
Standard Classification of Occupations ISCO 88-A.C.: A methodological document
that explains the homologation between the Classification of Occupations CNO
SENA 2003 and the International Standard Classification of Occupations ISCO 88A.C.
Departamento Administrativo
Nacional de Estadística (DANE)
20
GLOSSARY
Category. Generic term for grouping of items in any level of a classification, such as
categories, tabulation, sections, subsections, divisions, subdivisions, groups, subgroups,
classes and subclasses. Categories in a classification are usually identified by codes
(alphabetical or numerical), which provide unique identification for each category and
denote their place in the hierarchy. A category contains elements that are subsets of the
classification to which they belong, such as activities, products, types of occupation, types
of education, etc.
Classification. Grouping of events or objects in homogeneous sets, in a comprehensive
and mutually exclusive way, according to predetermined criteria and to the classification’s
intended use.
Code. Numerical, alphabetical or alphanumerical representation of a category in a
classification, generally consisting of one or more characters assigned to a describer.
Comprehensive. The classification contains all existing occupations, activities or products
in the country.
Correlative table. Reciprocal or complementary relationship between categories from
different classifications.
Correspondences. Matrix or table used to express the categories of a classification in
terms of another classification.
Economic activity. The creation of value added by means of the production of goods and
services, involving land, capital, labor and intermediate inputs.
Excluding. An occupation, activity or product that is located in one and only one category,
or primary group.
Harmonization/Standardization. The process of combining or comparing data for
analysis purposes, either through the use of similar standard definitions and
classifications, or through a complex set of explanations on how to get comparisons by
means of standards and classification.
Hierarchy. Structure in which the levels of classification are presented. A hierarchical or
tree structure is considered for a classification when each of its levels is defined in terms of
the categories at the next lower level of the classification
Homogeneous. Formed of elements of the same nature.
Bogotá D. C., Cundinamarca
2009
21
Economic and Social Correlative
Tables Methodology
Level. Indicates the position of a category or group of categories within a hierarchy.
Generally speaking the structure of a classification tends to be hierarchical. That is, each
category will depend on a higher level, except for the top-level categories, and each
category will contain one or more other categories except for the bottom-level categories.
Categories that do not depend on any other constitute the first or bottom level of
categories. Those that depend directly on the first-level categories constitute the secondlevel categories, and so forth. Single-level classifications may exist.
Methodology. Set of well-organized stages and procedures completed to develop a
research or statistical operation, that explain what is the object of the research or the study
(e.g. economic, social or environmental phenomena), the reasons to carry out the
investigation, how it is going to be developed, and the tools, instruments and resources
that are available in order to obtain results.
Nomenclature. A systematic assignment of names to things or a system of names or
terms for things. In classifications, nomenclature refers to the systematic assignment of
names to categories. The terms "nomenclature" and "classification" are frequently used
interchangeably, even if the definition of "classification" is broader than the definition of
"nomenclature". A nomenclature is essentially a convention to describe observations,
while a classification, besides describing observations, structures and encodes them.
Normalization. Establishment and standardization of concepts, criteria, methods and
nomenclatures that enable comparability.
Occupation. Homogeneous categories of tasks that constitute a set of jobs that hold great
similarity, done by a person in the past, present or future, according to the skills acquired
by education or experience, and for which this person receives compensation, either in
cash or in kind.
Structure (branching). The arrangement of parts or elements (usually hierarchical) to
identify relations between categories. A hierarchical classification is based on a branched
structure where each group of detailed categories is a subset of the categories on the level
in which they are contained.
Departamento Administrativo
Nacional de Estadística (DANE)
22
BIBLIOGRAPHY2
Comisión Económica para América Latina y el Caribe (Economic Commission for Latin
America and the Caribbean) (2004). Clasificaciones estadísticas internacionales
incorporadas en el banco de datos del comercio exterior de América Latina y el Caribe de
la CEPAL (Revisión 2) (International Statistical Classifications incorporated into ECLAC’s
foreign trade database of Latin America and the Caribbean – Revision 2), Santiago de
Chile.
Departamento Administrativo Nacional de Estadística, (National Administrative
Department of Statistics). DANE (2006, agosto) (August 2006). Correlativa entre la CNOSENA 2003 y la Clasificación Internacional Uniforme de Ocupaciones (Correlative table
between the CNO-SENA 2003 and the International Standard Classification of
Occupations) ISCO-88-A.C.
________. (1998, mayo). Clasificación Industrial Internacional Uniforme de todas las
actividades económicas Rev. 3 Adaptada para Colombia. (May 1998), International
Standard Industrial Classification of All Economic Activities Adapted for Colombia, Rev. 3).
Bogotá, D. C.
________. (2006, abril). Correlativa entre la Clasificación Nacional de Ocupaciones CNO70 y la Clasificación Internacional Uniforme de Ocupaciones (April 2006 – Correlative
table between the National Classification of Occupations CNO-70 and the International
Standard Classification of Occupations) ISCO-88-A.C.
________. Correspondencia entre la Clasificación Industrial Internacional Uniforme de
todas las actividades Económicas – CIIU, Revisión 3, Adaptada para Colombia y la
Clasificación Industrial Internacional Uniforme de todas las actividades Económicas –
CIIU, Rev. 3, Adaptada por el DANE para el Censo Económico de 1990. (Correspondence
between the International Standard Industrial Classification of All Economic Activities –
ISIC Revision 3, Adapted for Colombia and the International Standard Industrial
Classification of All Economic Activities – ISIC, Rev. 3, Adapted by DANE for the
Economic Census of 1990)
2
The translation of bibliographic titles, names and divisions is for reference purposes only.
Bogotá D. C., Cundinamarca
2009
23
Economic and Social Correlative
Tables Methodology
________. (2004, octubre). Dirección de Regulación, Planificación, Estandarización y
Normalización. (October 2004 – Direction of Regulation, Planning, Standardization and
Normalization) DIRPEN. Clasificación Central de Productos Adaptada para
ColombiaVersión 1.0-CPC v 1.0 A.C (Central Classification of Products Adapted for
Colombia Version 1.0-CPC v 1.0 A.C.) Bogotá, D. C.
________. (2005, diciembre). Clasificación Internacional Uniforme de Ocupaciones
Adaptada para Colombia (December 2005 – International Standard Classification of
Occupations Adapted for Colombia), ISCO-88 A.C.
________. (2000, abril). Sistema Estadístico Nacional y Territorial, SENT,
Correspondencia entre la Clasificación Industrial Internacional Uniforme de todas las
actividades económicas Rev. 3 Adaptada para Colombia y la Clasificación Industrial
Internacional Uniforme de todas las actividades económicas Rev. 3, versión internacional
(April 2000 – National Statistical and Territorial System, SENT, Correspondence between
the International Standard Industrial Classification of All Economic Activities Rev. 3
Adapted for Colombia and the International Standard Industrial Classification of All
Economic Activities Rev. 3 International Version), Bogotá, D. C.
Naciones Unidas (United Nations) (2005). Clasificación Industrial Internacional Uniforme
de todas las actividades económicas CIIU revisión 3.1. Nueva York (International
Standard Industrial Classification of All Economic Activities ISIC revision 3.1. New York).
________. (2004, junio). Guía para la elaboración de correlativas-NYC. Naciones Unidas
(June 2004 – Guidelines for the preparation of correlative tables – NYC. United Nations)
Servicio Nacional de Aprendizaje, SENA-Ministerio de Trabajo (Ministry of Labor) (2002).
Clasificación Nacional de Ocupaciones (National Classification of Occupations) CNO-70.
Bogotá.
Servicio Nacional de Aprendizaje, SENA. Clasificación Nacional de Ocupaciones (National
Classification of Occupations) 1995, 2003 y 2007.
Departamento Administrativo
Nacional de Estadística (DANE)
24