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Commodity Production Statistics, 1958-1979

Resource Type
Dataset : survey data
  • United Nations
Other Title
  • Archival Version (Subtitle)
Publication Date
Free Keywords
agricultural production; commodities; industrial production; manufacturing industry
  • Abstract

    The United Nations created this dataset using data from reporting countries regarding their yearly commodity production for the years 1958-1979. For each country, year, and commodity, statistics are given on the quantity produced. Commodities are classified according to international industrial classification group standards and include agricultural and livestock production, ocean and coastal fishing, chemical and fertilizer mineral production, manufacture of bakery products, spinning and weaving, manufacture of machinery, and manufacture of musical instruments. The data are collected in two files: Part one contains information for the years 1964-1979, Part two for the years 1958-1973 (with some instances of overlapping data years in the files). The data in this collection constitute the master file of input to the YEARBOOK OF INDUSTRIAL PRODUCTION, VOLUME II.
  • Table of Contents


    • DS0: Study-Level Files
    • DS1: 1958-1973 Data
    • DS2: 1964-1979 Data
Temporal Coverage
  • 1958 / 1979
    Time period: 1958--1979
  • 1958 / 1979
    Collection date: 1958--1979
Geographic Coverage
  • Global
2006-01-18 File CB7894.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (
Alternative Identifiers
  • 7894 (Type: ICPSR Study Number)
  • Is previous version of
    DOI: 10.3886/ICPSR07894.v1

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

United Nations (1984): Commodity Production Statistics, 1958-1979. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.