Farmer Innovation Fund Impact Evaluation 2010, Baseline Survey
Ethiopia, 2010
Get Microdata
Reference ID
ETH_2010_FIFIE-BL_v01_M
Producer(s)
Tigist Ketema
Collection(s)
Metadata
Created on
Aug 18, 2014
Last modified
Aug 18, 2014
Page views
278079
Downloads
6558
- Data files
- ACCESS_TO_THE_PRODUCTIVE_SAFETY1_men
- ACCESS_TO_THE_PRODUCTIVE_SAFETY2_men
- BUSINESS_ACTIVITY1_men
- BUSINESS_ACTIVITY2_men
- CREDIT_men
- CROP_SALES_2_men
- FAMILY_HISTORY_men
- FARMER_INNOVATION_FUND_men
- FARMER_TRAINING_CENTER_men
- GROUP_PARTICIPATION1_men
- GROUP_PARTICIPATION2_men
- HIRED_SHARED_LABOUR_men
- KNOWLEDGE_OF_LAND_MEASUREMENTS_men
- LIVESTOCK_OWNERSHIP_men
- MARITAL_HISTORY_men
- NETWORKS1_men
- NEW_AGRICULTURAL_ACTIVITIES_men
- SAVINGS_AND_RISK_men
- TRANSFERS1_men
- TRANSFERS2_men
- USE_OF_EXTENSION_SERVICES_men
- USE_OF_LABOUR_ON_LAND_OPERATED_men
- USE_OF_LABOUR_ON_LIVESTOCK_men
- WAGE_EMPLOYMENT1_men
- WAGE_EMPLOYMENT2_men
- AGRICULTURAL_PRODUCTION_IN_BELG_men
- AGRICULTURAL_PRODUCTION_IN_MEHER_men
- AGRICULTURAL_PRODUCTION_OF_NON_S_men
- CROP_SALES_1_men
- CURRENT_HOUSEHOLD_DEMOGRAPHICS_men
- LAND_CHARACTERISTICS_AND_TENURE_men
- OWNERSHIP_OF_CONSUMER_DURABLES_men
- OWNERSHIP_OF_PRODUCTION_EQUIP_men
- STOCKS_PRODUCTION_AND_CONSUMPTIO_men
- ACCESS_TO_CREDIT_women
- BUSINESS_ACTIVITY1_women
- BUSINESS_ACTIVITY2_women
- BUSINESS_ACTIVITY3_women
- CURRENT_HOUSEHOLD_DEMOGRAPHICS_women
- FAMILY_HISTORY_women
- FARMER_INNOVATION_FUND_women
- FARMER_TRAINING_CENTER_women
- GROUP_PARTICIPATION1_women
- GROUP_PARTICIPATION2_women
- HOUSING_QUALITY_women
- INCOME_FROM_LIVESTOCK_women
- MARITAL_HISTORY_women
- NETWORKS1_women
- NEW_AGRICULTURAL_ACTIVITIES_women
- NON_FOOD_EXP_ON_DURABLES_SERVICE_women
- NON_FOOD_EXP_ON_HOUSEHOLD_CONSUM_women
- NON_FOOD_EXP_ON_SERVICES_women
- SAVINGS_AND_RISK_women
- TRANSFERS1_women
- TRANSFERS2_women
- USE_OF_EXTENSION_SERVICES_women
- USE_OF_LABOUR_ON_LAND_OPERATED_women
- USE_OF_LABOUR_ON_LIVESTOCK_women
- WAGE_EMPLOYMENT1_women
- WAGE_EMPLOYMENT2_women
- WAGE_EMPLOYMENT3_women
- NETWORKS2_men
- INTERVIEW_INFORMATION_men
- FOOD_CONSUMPTION_women
- INTERVIEW_INFORMATION_women
- NETWORKS2_women
Kebele (kebele)
Data file: GROUP_PARTICIPATION1_women
Overview
Valid:
2424
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
9
End:
10
Width:
2
Range:
1 - 54
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Begasheka | 48 |
2%
|
| 2 | DR. atakilty | 59 |
2.4%
|
| 3 | Getski_milesilay | 66 |
2.7%
|
| 4 | Amdi weyane | 40 |
1.7%
|
| 5 | May tekli | 34 |
1.4%
|
| 6 | Nebar hadinet | 37 |
1.5%
|
| 7 | Wenberet adi deki als | 37 |
1.5%
|
| 8 | Aiba | 50 |
2.1%
|
| 9 | Atsela | 41 |
1.7%
|
| 10 | Tekia | 28 |
1.2%
|
| 11 | Betmara | 38 |
1.6%
|
| 12 | Abreha atsbeha | 68 |
2.8%
|
| 13 | Adekesandid | 51 |
2.1%
|
| 14 | Gemad | 40 |
1.7%
|
| 15 | Genfel | 46 |
1.9%
|
| 16 | Mai quiha | 0 |
0%
|
| 17 | Mai megelta | 36 |
1.5%
|
| 18 | Saz | 31 |
1.3%
|
| 19 | Adi yiekoro | 66 |
2.7%
|
| 20 | Dibdibo (la/megariatsemri) | 35 |
1.4%
|
| 21 | Gerhu simay/Hog | 58 |
2.4%
|
| 22 | Mishig | 55 |
2.3%
|
| 23 | Sero | 31 |
1.3%
|
| 24 | Debre Genet | 23 |
0.9%
|
| 25 | Seha | 22 |
0.9%
|
| 26 | Kisad Akui | 19 |
0.8%
|
| 27 | Hatsebo | 38 |
1.6%
|
| 28 | Medoge | 18 |
0.7%
|
| 29 | Dereka | 30 |
1.2%
|
| 30 | Dura | 36 |
1.5%
|
| 31 | Egri - Albe | 30 |
1.2%
|
| 32 | Nesashi | 54 |
2.2%
|
| 33 | Tabote Giorgies | 24 |
1%
|
| 34 | Mitemera | 0 |
0%
|
| 35 | Sekata | 0 |
0%
|
| 36 | Adet Zuriya | 55 |
2.3%
|
| 37 | Mosebo | 63 |
2.6%
|
| 38 | Dewaro | 32 |
1.3%
|
| 39 | Abka | 41 |
1.7%
|
| 40 | Goda Chelie | 51 |
2.1%
|
| 41 | Balchi | 81 |
3.3%
|
| 42 | Betie | 44 |
1.8%
|
| 43 | Merewa | 41 |
1.7%
|
| 44 | Alala | 69 |
2.8%
|
| 45 | Hara | 66 |
2.7%
|
| 46 | Zewergotera | 75 |
3.1%
|
| 47 | Geshober | 62 |
2.6%
|
| 48 | Gedober | 64 |
2.6%
|
| 49 | Dorogeber | 56 |
2.3%
|
| 50 | Sholekt | 66 |
2.7%
|
| 51 | Dengolt Sostu Yekura | 69 |
2.8%
|
| 52 | Asmera | 61 |
2.5%
|
| 53 | Atekan Dagut/Achkan | 72 |
3%
|
| 54 | Berkut | 67 |
2.8%
|
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.