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    Home / Central Data Catalog / ETH_2005_LMMIS_V01_M / variable [F5]
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Large and Medium Manufacturing and Electricity Industries Survey 2004-2005 (1997 E.C)

Ethiopia, 2006
Reference ID
ETH_2005_LMMIS_v01_M
Producer(s)
Central Statistical Agency (CSA)
Metadata
DDI/XML JSON
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
Page views
47698
Downloads
12432
  • Study Description
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  • Data files
  • Annual
    investment by
    type and source
    (part72)
  • Annual
    production at
    full capacity
    (part82).
  • Basic
    information
    about the
    establisment(Part2)
  • Cost and
    quantity of raw
    materials,
    parts and
    containers used
    (part61)
  • Dataset at
    establishment
    level for
    1997(2004-2005)
  • Estimate value
    and quantity of
    raw materials
    needed at full
    capacity
    (part83).
  • Number of
    permanent
    employees by
    basic salary
    group (part33)
  • Number of
    persons
    engaged(Part3
  • Other
    industrial
    costs (part62)
  • Purchase,
    Stocks and cost
    of goods sold
    (in Birr) in
    19997(Part52)
  • Products and
    by-products
    (part41)
  • Type and value
    of fixed assets
    (part71)
  • Value of stocks
    (part5
  • Wages and
    salaries and
    other employee
    benefits paid
    (part32)

Type of calendar for accounts and books are being kept (p2q5)

Data file: Dataset at establishment level for 1997(2004-2005)

Overview

Valid: 0
Invalid: 0
Type: Continuous
Decimal: 0
Width: 1
Range: -
Format:

Questions and instructions

Literal question
IF THE ANSWER TO THE ABOVE QUESTION IS CODE 1, STATE ACCORDING TO WHICH CALENDAR YEAR, YOUR ACCOUNTS AND BOOKS ARE BEING KEPT
ETHIOPIAN FISCAL YEAR ----- (YEAR
ENDING JULY 7) = 1
ETHIOPIAN CALENDAR YEAR (YEAR ENDING SEPT. 10) = 2
GREGORIAN CALENDAR YEAR (YEAR
ENDING DEC. 31) = 3
OTHER (SPECIFY) = 4
Categories
Value Category
1 Ethiopian fiscal year (ending July 7)
2 Ethiopian calendar (ending Sept. 10)
3 Gregorian calendar (ending Dec. 31)
4 Other
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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