Rural Capacity Building Project 2009
Ethiopia, 2009
Get MicrodataCreated on
Jul 07, 2015
Last modified
Mar 29, 2019
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- Data files
- IDENTI_1
- Section_A
- Section_B
- Section_C
- Section_C_Consumption
- Section_C2
- D0_D3
- D4_16
- D6_Head
- D6_Spouse
- D8_Head
- D8_Spouse
- D10_H
- D10_S
- D12_H
- D12_S
- D14_H
- D14_S
- D16_H
- D16_S
- D17_D
- D19_H
- D19_S
- D24_D65
- D31_Head
- D31_Spouse
- D37_Head
- D37_Spouse
- D41_Head
- D41_Spouse
- D47_Head
- D47_Spouse
- D48_Head
- D48_Spouse
- D49_Head
- D49_Spouse
- D51_Head
- D51_Spouse
- E1_E2
- E3_E9
- E9
- E10_E19
- E20_E27
- E28_E36
- F0
- F1_F22
- F23_F30
- Farm Input
a04 . kebele (Kebele)
Data file: F1_F22
Overview
Valid:
25510
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
70
End:
72
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
Section A: Identification
A04. Kebele
A04. Kebele
Categories
| Value | Category |
|---|---|
| 1 | ashura |
| 3 | endewuha |
| 4 | ashewa |
| 5 | dimama manguda |
| 8 | nabira michael |
| 9 | yekukual |
| 10 | yangech |
| 11 | asendabo |
| 12 | nabira yebalet |
| 13 | yedama |
| 14 | debet |
| 15 | enqoy |
| 16 | gelgelie |
| 20 | koncher |
| 23 | lezaberji |
| 24 | alemtsehay |
| 26 | chandiba |
| 27 | eyahoseraba |
| 28 | waldiba |
| 29 | setia wakaye |
| 30 | tiserako |
| 32 | sufankara |
| 33 | darna gawrna |
| 34 | fenja |
| 39 | yewolde giorgis |
| 49 | taja |
| 52 | debre zebit 011 |
| 54 | aro bakelo |
| 56 | shekla |
| 59 | kelo |
| 61 | ber belay |
| 63 | woreket |
| 64 | yetiratir |
| 65 | efrata |
| 66 | aketo |
| 67 | gedela |
| 68 | harogie |
| 70 | adeguya |
| 73 | kibitya |
| 74 | bazura |
| 75 | yegenatit |
| 81 | cabbi |
| 85 | arba |
| 131 | woketa |
| 132 | suri |
| 138 | wake miya |
| 140 | dabe dongore |
| 141 | adulaba katte |
| 142 | cheka alemtena |
| 145 | buta delechagada |
| 146 | sifa |
| 147 | merko |
| 150 | chelle |
| 151 | buta denkore |
| 152 | k gufa |
| 153 | gabiba |
| 346 | germama gale |
| 347 | dube godebamo |
| 348 | barka dilapa |
| 349 | gete kutyo |
| 353 | bulki tsire |
| 357 | azgi zemeda |
| 361 | safa |
| 363 | gelda |
| 365 | dekeya |
| 366 | wachiga esho |
| 369 | jajura-1 |
| 421 | sherkole shula |
| 423 | giima |
| 424 | dareselam |
| 425 | algela |
| 426 | alemetema jedida |
| 428 | akendo afafhi |
| 429 | tsate dumugu tumet |
| 430 | ashura |
| 433 | beumeguha telenoen |
| 435 | baneshegol |
| 436 | tumate mekeware |
| 441 | seme |
| 442 | dimtu |
| 443 | say dalocha |
| 448 | anger meti |
| 449 | belo-didiga |
| 999 | ns |
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.