Large and Medium Manufacturing and Electricity Industries Survey 2006-2007 (1999 E.C)
Ethiopia, 2008
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
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- Data files
-
Dataset_at_establishment_level_for_2006-2007(1999
E.F - Number_of_persons_engaged(Part3
-
Wages_and_salaries_and_other_employee_benefits_paid
(part3 -
Number_of_permanent_employees_by_basic_salary_group
(part3 -
Products_and_by-products
(part4 -
Value_of_stocks
(part5 -
Cost_and_quantity_of_raw_materials,_
parts_and_containers_used
(part6 -
Other_industria_
costs (part6 -
Type_and_value_of_fixed_assets
(part7 -
Annual_investment_by_type_and_source
(part7 -
Annual_production_at_full_capacity
(part8.2). -
Estimate_value_and_quantity_of_raw_materials_needed_at_full_capacity
(part8.3). -
Basic
information
about the
establisment(Part2)1999
E.F - Purchase_stocks_and_cost_of_goods_sold(Part5
Town (Id04)
Data file: Basic information about the establisment(Part2)1999 E.F
Overview
Valid:
0
Invalid:
0
Type:
Continuous
Decimal:
0
Start:
16
End:
18
Width:
3
Range:
-
Format:
Questions and instructions
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 | Adwa |
| 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.