DDI_ETH_2010_AgSSB_v01_M
Central Statistical Agency
Accelerated Data Program
2011-02-17
NADA
Version 02 (October 2013). Edited version based on Version 01 DDI (DDI_ETH_2010_ASSBS_v01_M) that was done by Central Statistical Agency, Ethiopia and reviewed by Accelerated Data Program, International Household Survey Network.
Agricultural Sample Survey 2010-2011 Belg (2003 E.C)
AgSSB 2010-11
ETH_2010_AgSSB_v01_M
Central Statistical Agency
NADA
Government of Ethiopia
Data Administrator
World Bank Microdata Library
Agricultural Survey [ag/oth]
The Central Statistical Authority (CSA) has been conducting Agricultural Sample Surveys on annual basis since 1980-1981 (1973 E.C.) to produce some of the statistical data that can be used in planning and policy making activities. The survey was interrupted in 1992-1993 (1985 E.C.) and 1993-1994 (1986 E.C.) because during these two years the CSA was fully engaged in undertaking the preparatory activities for the 1994 Population and Housing Census. However, after, undertaking the 1994 Population and Housing Census, the annual agricultural survey was resumed in 1994-1995 (1987 E.C.), and also conducted for the year 1995-1996 (1988 E.C.). It has since been conducted in 1996-1997, 1997-1998, 1998-1999, 1999-2000, 2000-2001, 2003-2004, 2004-2005, 2005-2006, 2006-2007, 2007-2008, 2008-2009, and 2009-2010.
v01: Edited and non anonymized dataset, for internal use only.
Agriculture
Food
Land
Crops
Agriculture & Rural Development
Food (production, crisis)
Land (policy, resource management)
The objectives of the 2010/11 (2003 E.C.), Belg Season Crop Production Sample Survey is to produce basic quantitative information on cropland area, production and yield of major Belg season crops, as well as to provide quantitative information on the extent and use of different farm management practices on belg season crops such as fertilized crop land area and quantity of fertilizer used by crop and fertilizer type, irrigated crop land area, area under improved seed, pesticide treated cropland area, etc.
The adequate and timely supply of this information to ultimate users is therefore, important for use as a primary input in the process of policy formulation, designing developmental agricultural projects and programmes. This report, therefore, presents quantitative information on the above-mentioned major variables at country and regional levels.
Ethiopia
The 2010/11 (2003 E.C.) Annual Agricultural Sample Survey (Belg season) covered the entire rural parts of the country except the non-sedentary population of three zones of Afar & six zones of Somali regions. Accordingly the survey took in to account of all parts of Harari, Dire Dawa, and actually 59 Zones / Special weredas (that are treated as zones) of other regions.
Household, holder, crop
Agricultural households from the sampled areas
Sample survey data [ssd]
The scope of annual Agricultural Sample Survey included:
- Area identification and characteristics of agricultural holder's. This included household's geographic locations, holder's age, holder's sex and educational status.
- List of fields and agricultural practices for pure stand and mixed crops.
- List of permanent crops and number of tress.
- Records of quantity of improved seed, fertilizers and information on crop protection.
- Records of results of area measurements.
- List and selection of fields for crop cutting and details of record of crop cutting.
Central Statistical Agency
SAMPLING FRAME
The list containing EAs of all regions and their respective households obtained from the 2007 Population and housing Census Frame was used as the sampling frame in order to select the Primary Sampling Units (EAs). Consequently, all sample EAs were selected from this frame based on the design proposed for the survey. The second stage sampling units, households, were selected from a fresh list of households that were prepared for each EA at the beginning of the survey
SAMPLE DESIGN
In order to select the sample a stratified two-stage cluster sample design was implemented. Enumeration areas (EAs) were taken to be the primary sampling units (PSUs) and the Secondary Sampling Units (SSUs) were agricultural households. The sample size for the 2010/11agricultural sample survey was determined by taking into account of both the required level of precision for the most important estimates within each domain and the amount of resources allocated to the survey. In order to reduce non-sampling errors, manageability of the survey in terms of quality and operational control was also considered. Except Harari, and Dire Dawa, where each region as a whole was taken to be the domain of estimation; each zone of a region / special wereda was adopted as a stratum for which major findings of the survey are reported.
SELECTION SCHEME
Enumeration areas from each stratum were selected systematically using probability proportional to size sampling technique; size being number of agricultural households. The sizes for EAs were obtained from the 2007 Population and Housing census frame. From the fresh list of households prepared at the beginning of the survey 30 agricultural households within each sample EA were selected systematically. Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix-I and II respectively. Distribution of sampling units (sampled and covered EAs and households) by stratum is also presented in Appendix-III.
To be covered by the survey, a total of around 2110 Enumeration Areas (EAs) were selected. However, due to some EAs weren't growing Belg season crops, in 934 EAs the survey could not be successful and hence interrupted. Thus, all in all the survey succeeded to cover 1176 EAs throughout the regions.
Face-to-face [f2f]
The 2010-2011 annual Agricultural Bleg Sample Survey used structured questionnaires to collect agricultural information from selected sample households.
List of forms in the questionnaires: .
- Form CPSS 2002/8: contains list of fields under mixed crops (including vegetables and root crops).
- Form CPSS 2002/3A: assessment of Belg season crop conditions.
- Form CPSS 2002/3B: assessment of crop condition.
- Form CPSS 2002/3C: assessment of crop condition.
Except cropland area of Major Belg Season crop, the data of which collected objectively using compasses and measuring tape, the information on production of major Belg Season crops and agricultural practices (uses of fertilizer, pesticide, improved seed and irrigation) were subjectively collected by interviewing the holders of sampled households. Appendix II illustrates the total number of EAs and households reporting for the 2010/11 (2003 E.C.), Belg crop production by region.
Editing, Coding and Verification
To insure the quality of the collected survey data an editing, coding, and verification instruction manual was written, and 17 editors, data coders and verifiers were trained for one day to edit, code and verify the data using the aforementioned manual as a reference and teaching aid. The enumerator completed edited and coded questionnaires sent to the head office were thoroughly verified by trained verifiers on a 100% basis before the questionnaires were sent to the data entry unit. The editing, coding, verification and manual cleaning of all questionnaires was completed in 15 days.
Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix-I and II of the report which is provided in the metadata.
Central Statistical Agency
"Central Statistical Authority of Ethiopia (CSA), Agricultural Sample Survey (Belg) 2010-2011 (AgSSB 2010), v01, provided by the National Data Archive. http://www.csa.gov.et"
The Central Statistical Agency (CSA) is committed to achieving excellence in the provision of timely, reliable and affordable official statistics for informed decision making in order to maximize the welfare of all Ethiopians. This is achieved through the collection and analysis of censuses, surveys and the use of administrative data as well as the dissemination a range of statistical products and providing assistance and services to users.
A microdata dissemination policy is established by CSA to address the conditions and the manner in which anonymized microdata files may be released to users for research purposes. It also strives to identify the different levels of anonymization for different categories of data use. This policy is available at CSA website (http://www.csa.gov.et).
CSA will release microdata files for use by researchers for scientific research purposes when:
The Director General is satisfied that all reasonable steps have been taken to prevent the identification of individual respondents.
The release of the data will substantially enhance the analytic value of the data that have been collected For all but purely public files, researchers disclose the nature and objectives of their intended research, It can be demonstrated that there are no credible alternative sources for these data, and
The researchers have signed an appropriate undertaking.
Terms and conditions of use of public data files are the following:
The data and other materials provided by CSA will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of CSA.
The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CSA.
No attempt will be made to produce links among datasets provided by CSA, or among data from the CSA and other datasets that could identify individuals or organizations.
Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from CSA will cite the source of data in accordance with the Citation Requirement provided with each dataset.
An electronic copy of all reports and publications based on the requested data will be sent to CSA.
The original collector of the data, CSA, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Cost Recovery Policy:
It is the policy of CSA to encourage broad use of its products by making them affordable for users. Accordingly, CSA attempts to ensure that the costs of creating anonymized microdata files are built-in to the survey budget.
At the same time, CSA attempts to recover costs associated with the provisions of special services that benefit only a specific group. Information on the price of each dataset is available at CSA website (www.csa.gov.et )
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Belg-2003-Household-information
Data collected about household information
0
10
Belg-2003-Holder-information
Data collected about holder information
0
15
Belg-2003-Field-information
Data collected about field information
0
55
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromia
5
Somalia
6
Benshangul_Gumz
7
S.N.N.P.R
12
Gambella
13
Harara
14
Addis_Ababa
15
Dire_Dawa
Region
Zone
Zone
Zone
Zone
Zone
Zone
District
District
District
District
District
District
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Household Id
Household Id
Household Id
Household Id
Household Id
Household Id
Head sex
Head sex
Head sex
Head sex
Head sex
1
Male
2
Female
Head sex
Pesons Weight
Pesons Weight
Pesons Weight
Pesons Weight
Pesons Weight
Pesons Weight
Household Size
Household Size
Household Size
Household Size
Household Size
House hold Size
Household Size
Person Ratio
Person Ratio
Person Ratio
Person Ratio
Person Ratio
Person Ratio
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromia
5
Somalia
6
Benshangul_Gumz
7
S.N.N.P.R
12
Gambella
13
Harara
14
Addis_Ababa
15
Dire_Dawa
Region
Zone
Zone
Zone
Zone
Zone
Zone
District
District
District
District
District
District
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Household Id
Household Id
Household Id
Household Id
Household Id
Household Id
Head sex
Head sex
Head sex
Head sex
Head sex
1
Male
2
Female
Head sex
Holder id
Holder id
Holder id
Holder id
Holder id
Holder id
Holder Weight
Holder Weight
Holder Weight
Holder Weight
Holder Weight
Holder Weight
Age
Age
Age
Age
Age
Age
Sex
Sex
Sex
Sex
Sex
1
Male
2
Female
Sex
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
Educational Status
1
Illitrate - previous and current curriculum
2
Informal education
3
Grade one completed
4
Grade two completed
5
Grade threee completed
6
Grade four completed - previous and current curriculum
7
Grade five completed - previous and current curriculum
8
Grade six completed - previous and current curriculum
9
Grade seven completed - previous and current curriculum
10
Grade eight completed - previous and current curriculum
11
Grade nine completed - previous curriculum
12
Grade ten completed - previous curriculum
13
Grade eleven completed - previous curriculum
14
Grade twelve completed - previous curriculum
15
Above grade twelve - previous curriculum
16
Grade nine completed - current curriculum
17
Grade ten completed - current curriculum
18
Grade ten completed and learning vocational - current curric
19
Certificate vocational - current curriculum
20
Grade elven preparatory completed- current curriculum
21
Grade twelve preparatory completed- current curriculum
22
Above grade twelve preparatory - current curriculum
Education (Highest Grade)
Household Size
Household Size
Household Size
Household Size
Household Size
House hold Size
Household Size
Type
Type
Type
Type
Type
1
Crop only
2
Livestock
3
Both crop and livestock
Type
Holder Ratio
Holder Ratio
Holder Ratio
Holder Ratio
Holder Ratio
Holder Ratio
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromia
5
Somalia
6
Benshangul_Gumz
7
S.N.N.P.R
12
Gambella
13
Harara
14
Addis_Ababa
15
Dire_Dawa
Region
Zone
Zone
Zone
Zone
Zone
Zone
District
District
District
District
District
District
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Farmers Association
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Enumeration Area
Household Id
Household Id
Household Id
Household Id
Household Id
Household Id
Head sex
Head sex
Head sex
Head sex
Head sex
1
Male
2
Female
Head sex
Holder id
Holder id
Holder id
Holder id
Holder id
Holder id
Parcel
Parcel
Parcel
Parcel
Parcel
Parcel
Field
Field
Field
Field
Field
Field
Field Weight
Field Weight
Field Weight
Field Weight
Field Weight
Field Weight
Part
Part
Part
Part
Part
Part
Field Type
Field Type
Field Type
Field Type
Field Type
1
Pure stand
2
Mixed crop
3
Other land use
Field Type
Crop or Land Use
Crop or Land Use
Crop or Land Use
Crop or Land Use
Crop or Land Use
1
Barley
2
Maize
3
Finger millet
4
Oats/ “Aja”
5
Rice
6
Sorghum
7
Teff
8
Wheat
9
Roman
10
Cassava
11
Chick Peas
12
Haricot Beans
13
Faba Beans/ Horse Beans
14
Lentils
15
Field Peas
16
Grass peas/Vetch
17
Gibto
18
Soya Beans
19
Cactus
20
Fennel
21
Castor Beans
22
Cotton Seed
23
Flax/lin seed
24
Ground nuts
25
Niger seed/neug/
26
Rape Seed
27
Sesame
28
Safflower
29
Mego
30
Wild thyme/savory
31
Black Cumin
32
Black Pepper
33
Cardamom
34
Chilies
35
Cinnamon
36
Fenugreek
37
Ginger
38
Red Pepper
39
Termeric
40
White Cumin
41
Apples
42
Banana
43
Grapes
44
Lemon
45
Mendarin
46
Mangoes
47
Oranges
48
Papayas
49
Pineapples
50
Tringo (cition)
51
Beet root
52
Head Cabbage
53
Carot
54
Couliflower
55
Garlic
56
Ethiopian Cabbage
57
Lettuce
58
Onion
59
Green Pepper
60
Potatoes (Boye)
61
Pumpkin
62
Sweet Potatoes
63
Tomatoes
64
Godere
65
Guava
66
Peach
67
Mustard
68
Feto
69
Swiss Chard
70
Green Beans
71
Chat
72
Coffee
73
Cotton
74
Enset
75
Hops / ‘Gesho’
76
Sugar Cane
77
Tea
78
Tobacco
79
Coriander
80
Sacred Basil
81
Rue
82
Gishita
83
Water mellon
84
Avocados
85
Grazing land
86
Fallow land
89
Forest land
97
Pijapin
98
Other root crops
99
Other land use
101
Wechino
103
Wepal
104
Keenkech
105
Buya
106
Dates
107
Achino
108
Amboshika
109
Sisal
111
Comtatie
112
Casmir
113
Strawberry
114
Shiferaw
115
Other Fruits
116
Timiz kimemem
117
Other Spices
118
Other Pulses
119
Other Oil Seeds
120
Other Cereals
123
Other Vegetables
Crop or Land Use
Owner Type
Owner Type
Owner Type
Owner Type
Owner Type
1
Private
2
Rent/leased
3
Other
Owner Type
Extension
Extension
Extension
Extension
Extension
Have the field been included in the extension package program
1
Yes
2
No
Extension
Irrigation
Irrigation
Irrigation
Irrigation
Irrigation
Was the field irrigated ?
1
Yes
2
No
Irrigation
Source of Irrigation
Source of Irrigation
Source of Irrigation
Source of Irrigation
Source of Irrigation
1
River
2
Lake
3
Pond
4
Harvested water
5
Other
Source of Irrigation
Seed Type
Seed Type
Seed Type
Seed Type
Seed Type
Varity of seeds used
1
Improved
2
Non-improved
Seed Type
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
(For Cereals, Pulses and oil seeds only) If improved seed was used What was the total quantity
9999.999
Not stated
Weight of improved Seed
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
(For Cereals, Pulses and oil seeds only) If improved seed was used What was the cost/price
99999.99
Not stated
Improved Seed Cost
Weight of Non Improved Seed
Weight of Non Improved Seed
Weight of Non Improved Seed
Weight of Non Improved Seed
Weight of Non Improved Seed
(For Cereals, Pulses and oil seeds only) If indigenous seed was used, What was the total Quantity
9999.999
Not stated
Weight of Non Improved Seed
Any Damage
Any Damage
Any Damage
Any Damage
Any Damage
Was the crop damage
1
Yes
2
No
Any Damage
Damage Reason
Damage Reason
Damage Reason
Damage Reason
Damage Reason
If you, what was the major censes of damage
1
Too much rain
2
Too little rain
3
Insects
4
Crop disease
5
Weeds
6
Hail
7
Frost
8
Floods
9
Wild animals
10
Locust
11
Birds
12
Shortage of seeds
13
Depletion of soil fertility
14
Security problems
15
Other
Damage Reason
Damage Percent
Damage Percent
Damage Percent
Damage Percent
Damage Percent
Percentage of damage
Damage Percent
Any Measure to Prevent Damage
Any Measure to Prevent Damage
Any Measure to Prevent Damage
Any Measure to Prevent Damage
Any Measure to Prevent Damage
Any control/prevention measure taken for crop damage
1
Yes
2
No
Any Measure to Prevent Damage
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
If Yes, What type of measure ?
1
Chemical
2
Non-chemical
3
Both
Type of Damage Prevention
Chemical Used
Chemical Used
Chemical Used
Chemical Used
Chemical Used
If Chemical
1
Insecticide
2
Herbicide
3
Fungicide
4
Insectcide & Herbicide
5
Insectcide & Fungicide
6
Herbicide & Fungicide
7
All
9
Not stated
Chemical Used
Fertilizer Used
Fertilizer Used
Fertilizer Used
Fertilizer Used
Fertilizer Used
What was field fertilized ?
1
Yes
2
No
Fertilizer Used
Fertilizer Type
Fertilizer Type
Fertilizer Type
Fertilizer Type
Fertilizer Type
If fertilized What type ?
1
Natural
2
Chemical
3
Both
Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
If chemical fertilizer used
1
Urea
2
DAP
3
Both
9
Not stated
Chemical Fertilizer Type
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Quantity in Kg.
9999.99
Not stated
Chemical Fertilizer quantity
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
If Natural fertilizer used mainly what type ?
1
Manure
2
Humese/besebash
3
Organic
4
Manure and Humese/besebash
5
Manure and Organic
6
Humese/besebash and Organic
7
All types
8
Other
9
Not stated
Natural Fertilizer Type
Percent of Field in Use
Percent of Field in Use
Percent of Field in Use
Percent of Field in Use
Percent of Field in Use
Percent of Field in Use
Area Measure - Month
Area Measure - Month
Area Measure - Month
Area Measure - Month
Area Measure - Month
1
Meskerem
2
Tikimt
3
Hidar
4
Tahsas
5
Tir
6
Yekatit
7
Megabit
8
Miazia
9
Ginbot
10
Sene
11
Hamle
12
Nehase
13
Pagume
99
Not stated
Area Measure - Month
Area Measure - Day
Area Measure - Day
Area Measure - Day
Area Measure - Day
Area Measure - Day
Area Measure - Day
Closuer error
Closuer error
Closuer error
Closuer error
Closuer error
Closuer error
Enumerator Area (sq. m.)
Enumerator Area (sq. m.)
Enumerator Area (sq. m.)
Enumerator Area (sq. m.)
Enumerator Area (sq. m.)
Enumerator Area (sq. m.)
Computer Area (sq. m.)
Computer Area (sq. m.)
Computer Area (sq. m.)
Computer Area (sq. m.)
Computer Area (sq. m.)
Computer Area (sq. m.)
Area in Hectar
Area in Hectar
Area in Hectar
Area in Hectar
Area in Hectar
Area in Hectar
Area (sq. m.)
Area (sq. m.)
Area (sq. m.)
Area (sq. m.)
Area (sq. m.)
Area (sq. m.)
Local production unit
Local production unit
Local production unit
Local production unit
Local production unit
Local production unit
Production in local unit
Production in local unit
Production in local unit
Production in local unit
Production in local unit
Production in local unit
Production in local unit
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Dry Weight Production (kg.)
Dry Weight Production (kg.)
Dry Weight Production (kg.)
Dry Weight Production (kg.)
Dry Weight Production (kg.)
Dry Weight Production (kg.)
Yield of main season 1998 E.C.
Yield of main season 1998 E.C.
Yield of main season 1998 E.C.
Yield of main season 1998 E.C.
Yield of main season 1998 E.C.
Yield of main season 1998 E.C.
Cond98 Condition
Cond98 Condition
Cond98 Condition
Cond98 Condition
Cond98 Condition
Condition
Condda
Condda
Condda
Condda
Condda
Condition DA
Condfa
Condfa
Condfa
Condfa
Condfa
Conditiona FA
Production Of Condition quintal
Production Of Condition quintal
Production Of Condition quintal
Production Of Condition quintal
Production Of Condition quintal
Production of Condition quintal
Production Of Condition in Kg
Production Of Condition in Kg
Production Of Condition in Kg
Production Of Condition in Kg
Production Of Condition in Kg
Production of Condition in Kg
Production of DA quintal
Production of DA quintal
Production of DA quintal
Production of DA quintal
Production of DA quintal
Production from Development Agent in quntal
Production of DA in kg
Production of DA in kg
Production of DA in kg
Production of DA in kg
Production of DA in kg
Production from Development Agent in kg
Production of FA quintal
Production of FA quintal
Production of FA quintal
Production of FA quintal
Production of FA quintal
Production from Farmers Association in quintal
Production of FA kg
Production of FA kg
Production of FA kg
Production of FA kg
Production of FA kg
Production from Farmers Assocation in kg