Rural Capacity Building Project 2009, Baseline
Ethiopia, 2009
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Reference ID
ETH_2009_RCBPIE-BL_v01_M_v01_A_PUF
Producer(s)
Tigist Ketema, Niklas Buehren
Collection(s)
Metadata
Created on
Aug 06, 2014
Last modified
Aug 06, 2014
Page views
126505
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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: D19_H
Overview
Valid:
1493
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
20
End:
22
Width:
3
Range:
1 - 999
Format:
Numeric
Questions and instructions
Literal question
Section A: Identification
A04. Kebele
A04. Kebele
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | ashura | 0 |
0%
|
| 3 | endewuha | 14 |
0.9%
|
| 4 | ashewa | 11 |
0.7%
|
| 5 | dimama manguda | 13 |
0.9%
|
| 8 | nabira michael | 12 |
0.8%
|
| 9 | yekukual | 10 |
0.7%
|
| 10 | yangech | 8 |
0.5%
|
| 11 | asendabo | 9 |
0.6%
|
| 12 | nabira yebalet | 12 |
0.8%
|
| 13 | yedama | 12 |
0.8%
|
| 14 | debet | 10 |
0.7%
|
| 15 | enqoy | 13 |
0.9%
|
| 16 | gelgelie | 5 |
0.3%
|
| 20 | koncher | 11 |
0.7%
|
| 23 | lezaberji | 15 |
1%
|
| 24 | alemtsehay | 18 |
1.2%
|
| 26 | chandiba | 14 |
0.9%
|
| 27 | eyahoseraba | 11 |
0.7%
|
| 28 | waldiba | 13 |
0.9%
|
| 29 | setia wakaye | 25 |
1.7%
|
| 30 | tiserako | 24 |
1.6%
|
| 32 | sufankara | 16 |
1.1%
|
| 33 | darna gawrna | 10 |
0.7%
|
| 34 | fenja | 13 |
0.9%
|
| 39 | yewolde giorgis | 15 |
1%
|
| 49 | taja | 18 |
1.2%
|
| 52 | debre zebit 011 | 18 |
1.2%
|
| 54 | aro bakelo | 54 |
3.6%
|
| 56 | shekla | 62 |
4.2%
|
| 59 | kelo | 61 |
4.1%
|
| 61 | ber belay | 19 |
1.3%
|
| 63 | woreket | 12 |
0.8%
|
| 64 | yetiratir | 11 |
0.7%
|
| 65 | efrata | 17 |
1.1%
|
| 66 | aketo | 19 |
1.3%
|
| 67 | gedela | 34 |
2.3%
|
| 68 | harogie | 43 |
2.9%
|
| 70 | adeguya | 56 |
3.8%
|
| 73 | kibitya | 74 |
5%
|
| 74 | bazura | 51 |
3.4%
|
| 75 | yegenatit | 47 |
3.1%
|
| 81 | cabbi | 8 |
0.5%
|
| 85 | arba | 9 |
0.6%
|
| 131 | woketa | 6 |
0.4%
|
| 132 | suri | 22 |
1.5%
|
| 138 | wake miya | 29 |
1.9%
|
| 140 | dabe dongore | 16 |
1.1%
|
| 141 | adulaba katte | 30 |
2%
|
| 142 | cheka alemtena | 28 |
1.9%
|
| 145 | buta delechagada | 30 |
2%
|
| 146 | sifa | 31 |
2.1%
|
| 147 | merko | 24 |
1.6%
|
| 150 | chelle | 20 |
1.3%
|
| 151 | buta denkore | 25 |
1.7%
|
| 152 | k gufa | 37 |
2.5%
|
| 153 | gabiba | 9 |
0.6%
|
| 346 | germama gale | 23 |
1.5%
|
| 347 | dube godebamo | 12 |
0.8%
|
| 348 | barka dilapa | 15 |
1%
|
| 349 | gete kutyo | 4 |
0.3%
|
| 353 | bulki tsire | 4 |
0.3%
|
| 357 | azgi zemeda | 28 |
1.9%
|
| 361 | safa | 13 |
0.9%
|
| 363 | gelda | 8 |
0.5%
|
| 365 | dekeya | 19 |
1.3%
|
| 366 | wachiga esho | 26 |
1.7%
|
| 369 | jajura-1 | 29 |
1.9%
|
| 421 | sherkole shula | 11 |
0.7%
|
| 423 | giima | 2 |
0.1%
|
| 424 | dareselam | 4 |
0.3%
|
| 425 | algela | 3 |
0.2%
|
| 426 | alemetema jedida | 1 |
0.1%
|
| 428 | akendo afafhi | 0 |
0%
|
| 429 | tsate dumugu tumet | 7 |
0.5%
|
| 430 | ashura | 4 |
0.3%
|
| 433 | beumeguha telenoen | 9 |
0.6%
|
| 435 | baneshegol | 12 |
0.8%
|
| 436 | tumate mekeware | 8 |
0.5%
|
| 441 | seme | 4 |
0.3%
|
| 442 | dimtu | 2 |
0.1%
|
| 443 | say dalocha | 3 |
0.2%
|
| 448 | anger meti | 3 |
0.2%
|
| 449 | belo-didiga | 5 |
0.3%
|
| 999 | ns | 0 |
0%
|
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.