Large and Medium Manufacturing and Electricity Industries Survey 2010-2011 (2003 E.C)
Ethiopia, 2012
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
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- Data files
-
Annual
investment by
type and source
(part72) 2003
E.F -
Wages and
salaries and
other employee
benefits paid
(part32)2003
E.F -
Basic
information
about the
establisment(Part2)2003
E.F -
Basic
information
about the
establisment(Part2)2003
E.F -
Cost and
quantity of raw
materials,
parts and
containers used
(part61)2003
E.F -
Number of
permanent
employees by
basic salary
group
(part33)2003
E.F -
Number of
persons
engaged(Part3.1)2003
E.F -
Other
industrial
costs
(part62)2003
E.F -
Products and
by-products
(part41)2003
E.F -
Purchase stocks
and cost of
goods
sold(Part5.2)2003
E.F -
Type and value
of fixed assets
(part71)2003
E.F -
Value of stocks
(part5.1)2003
E.F -
Wages and
salaries and
other employee
benefits paid
(part32)2003
E.F
Town (ID04)
Data file: Number of persons engaged(Part3.1)2003 E.F
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
Town
Categories
| Value | Category |
|---|---|
| 1 | YERGACHEFE |
| 2 | AGARO |
| 3 | ALETAWONDO |
| 4 | ALLABA |
| 5 | AMB0 |
| 6 | ARBAMICH |
| 7 | ASEBETEFERIE |
| 8 | BURE |
| 9 | SULULTA |
| 10 | QUIHA |
| 11 | GORE |
| 12 | BURAYU |
| 13 | ASSELA |
| 14 | CHELIA |
| 15 | AWASSA |
| 16 | AXUM |
| 17 | BABILE |
| 18 | BEKOGE |
| 19 | BAHIR DAR |
| 20 | BUTAJIRA |
| 21 | COMBOLCHA |
| 22 | SHOAROBIT |
| 23 | ADDIS ABABA |
| 24 | GURSUM |
| 25 | DEBREZIET |
| 26 | ADWA |
| 27 | DERRA |
| 28 | SERBO |
| 29 | DESSIE |
| 30 | GOBA |
| 31 | DILLA |
| 32 | KEMISIE |
| 33 | DIRE DAWA |
| 34 | TENDAHO |
| 35 | GONDAR |
| 36 | MIZAN |
| 37 | HAMARESSA |
| 38 | GUDER |
| 39 | HARAR |
| 40 | HOSAENA |
| 41 | JIMMA |
| 42 | BEBEKA |
| 43 | KULITO |
| 44 | JIJIGA |
| 45 | KIBREMENGIST |
| 46 | DODOLA |
| 47 | MELGEWONDO |
| 48 | MERTI |
| 49 | METU |
| 50 | METEHARA |
| 51 | MODJO |
| 52 | MEKELE |
| 53 | ABIADI |
| 54 | MUGER |
| 55 | NAZARETH |
| 56 | NEGELE BORENA |
| 57 | SHASHEMNE |
| 58 | SIGMO |
| 59 | WONJI |
| 60 | WOLODIA |
| 61 | YERGALEM |
| 62 | BULBULA |
| 63 | DEBREBRHAN |
| 64 | SHINSHINCHO |
| 65 | KALITY |
| 66 | JINKA |
| 67 | AKAKI |
| 68 | ROBE |
| 69 | AWASH MELKASSA |
| 70 | ZIWAY |
| 71 | DURAME |
| 72 | BEDELE |
| 73 | SHIRE |
| 74 | GAMBELA |
| 75 | GILGELGIBE |
| 76 | BICHENA |
| 77 | DEBRETAB0R |
| 78 | AWASH |
| 79 | DEBREMARKOS |
| 80 | GUMERO |
| 81 | GUTO GIDA |
| 82 | SEBETA |
| 83 | SODO |
| 84 | ADIGRAT |
| 85 | BETTERBECHO |
| 86 | NEKEMTE |
| 87 | WOLLISO |
| 88 | HURUMU |
| 89 | WERETA |
| 90 | GIMBI |
| 91 | DOLOMENA |
| 92 | WADERA |
| 93 | BECHO |
| 94 | METTI |
| 95 | DUPTI |
| 96 | WUSHWUSH |
| 97 | LEKA |
| 98 | ALELTU |
| 99 | HARRO |
| 101 | HAIK |
| 102 | HURUTA |
| 103 | ALEM GENA |
| 104 | SENDAFA |
| 105 | DENEBA |
| 106 | FINCHA |
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.