DDI_ETH_2009_AgSSB_v01_M
Central Statistical Agency
2008-12-20
NADA
Version 02 (October 2013). Edited version based on Version 1.1 DDI (DDI_ETH_2009_ASSBS_v1.1_M) that was done by Central Statistical Agency, Ethiopia and reviewed.
Agricultural Sample Survey, Belg Season 2009-2010 (2002 E.C)
AgSSB 2009-10
ETH_2009_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, 2007-2008, and 2008-2009.
v01: Edited and data, first version, for internal use only.
Agriculture
Food
Land
Crops
Agriculture & Rural Development
Food (production, crisis)
Land (policy, resource management)
For the past three decades, the Central Statistical Agency (CSA) has been conducting annual agricultural sample survey under which four integrated sample surveys designed for the collection of agricultural information on the performances of the sector were launched all over the country and used to disseminate the survey results to ultimate users on annual basis. The 2009/10 (2002 E.C.), Belg Season Crop Production Sample Survey, for which this report is meant for, is among the four integrated sample surveys launched on annual basis under the umbrella of the agricultural sample survey all over the country.
The objectives of the 2009/10 (2002 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.
Ethiopia
The 2009-2010 (2002 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.
Event/transaction data [evn]
The scope of annual Agricultural Sample Survey, Belg Season includes:
- Area identification and characteristics of agricultural holder's.
- Assessment of crop conditions (for Belg Season).
Central Statistical Agency of Ethiopia
SAMPLING FRAME
The list containing EAs of all regions and their respective households obtained from the 1999 E.C Cartographic 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 2009/10 agricultural 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 1999 E.C cartographic 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.
To be covered by the survey, a total of around 1,200 Enumeration Areas (EAs) were selected. However, due to various reasons that are beyond control, in 96 EAs the survey could not be successful and hence interrupted. Thus, all in all the survey succeeded to cover 1104 EAs throughout the regions.
Face-to-face [f2f]
The 2009-2010 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households.
List of forms in the questionnaire:
- CPSS Form 2002/3B: It contains form for listing holder information and crop productivity compared to last year.
- CPSS Form 2002/3C: It contains forms for crop productivity compared to last year.
Field Organization
The Central Statistical Agency (CSA) Branch Statistical Office heads, field supervisors and enumerators, other supporting staff and drivers were all involved in the field operation activities of the 2009/10 (2002 E.C.) Belg season Crop Production Sample survey. To accomplish the data collection activities, all field enumerators were equipped with the necessary survey equipment (i.e. compass, programmable calculator, measuring tape, …etc). To assist with the field work and data collection activities all available four-wheel drive vehicles were used for supervision and collection of completed questionnaires.
Training of Field Staff
At the beginning of the survey year, the field staff-training program was carried out in two stages. The first stage consisted of trainees from the head office, branch statistical office heads, statisticians and some of the field supervisors for one week at CSA's headquarters in Addis Ababa. Those trained in the first stage conducted similar training for field supervisors and enumerators for12 days in the 24 Branch Statistical Offices, which are distributed all over the country. During the second stage training, the field staff were given detailed classroom instruction on the objectives and uses of the Agricultural Sample Survey (AgSS), concepts, and definitions of terms used, the method of area measurement, interviewing procedures, … etc. The enumerators and supervisors training also included a field practice to reinforce the procedures discussed in the classroom with regard to field area measurement, use of the programmable calculator and crop-cutting techniques.
Methods of Data Collection.
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 2009/10 (2002 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 16 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 24 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 2009-2010 Agricultural Sample Survey, Area and Production of Belg Season Crops Volume V report.
Central Statistical Agency of Ethiopia
"Central Statistical Authority of Ethiopia (CSA), Agricultural Sample Survey Belg 2009-2010 (AgSSB 2009), 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.
Field Information
Data about field information
0
38
GPS-Oromia
Data about the Oromia region
0
21
Holder Information
Data about holder information
0
15
Household Information
Data about household information
0
10
Region
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromia
5
Somale
6
Benshangul Gumuz
7
S.N.N.P
12
Gambella
13
Harari
14
Addis Ababa
15
Dire Dawa
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
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
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Field Part
Field Part
Field Part
Field Part
Field Part
Field Part
Field Type
Field Type
Field Type
Field Type
Field Type
Field Type
1
Pure Stand
2
Mixed crop land
3
Other land use
Crop or Land Use
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
Millet
4
Oats
5
Rice
6
Sorghum
7
Teff
8
Wheat
11
Chick peas
12
Haricot beans
13
Horse beans
14
Lentils
15
Field peas
16
Vetch
17
Gibto
18
Soya Bean
23
Linseed
24
Ground nuts
25
Neug
26
Rapeseed
27
Sesame
28
Sunflower
36
Fenugreek
38
Red Peppers
42
Bannana
44
Lemon
46
Mango
47
Orange
48
Papaya
49
Pineapples
51
Beet root
52
Cabbage
53
Carrot
55
Garlic
56
Kale
57
Lettuce
58
Onion
59
Green Peppers
60
Potato
62
Sweet Potato
63
Tomatoes
64
Godere
65
Guava(Zeytuna)
69
Spinach
71
Chat
72
Coffee
74
Enset
75
Hops 'Gesho'
76
Sugar cane
77
Other stimulant crops
Owner Type
Owner Type
Owner Type
Owner Type
Owner Type
Owner Type
1
Private
2
Rent/leased
3
Other
Extension
Extension
Extension
Extension
Extension
Extension
1
Yes
2
No
Irrigation Used
Irrigation Used
Irrigation Used
Irrigation Used
Irrigation Used
Irrigation Used
1
Yes
2
No
Source of Irrigation
Source of Irrigation
Source of Irrigation
Source of Irrigation
Source of Irrigation
Source of Irrigation
Seed Type
Seed Type
Seed Type
Seed Type
Seed Type
Seed Type
1
Improved
2
Non-improved
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
Weight of improved Seed
9999.999
Not stated
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
Improved Seed Cost
99999.99
Not stated
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
Weight of Non Improved Seed
9999.999
Not stated
Any Damage
Any Damage
Any Damage
Any Damage
Any Damage
Any Damage
1
Yes
2
No
Damage Reason
Damage Reason
Damage Reason
Damage Reason
Damage Reason
Damage Reason
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 Percent
Damage Percent
Damage Percent
Damage Percent
Damage Percent
Damage Percent
999
Not Stated
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 Measure to Prevent Damage
1
Yes
2
No
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
Type of Damage Prevention
1
Chemical
2
Non-chemical
3
Both
Chemical Used
Chemical Used
Chemical Used
Chemical Used
Chemical Used
Chemical Used
1
Insecticide
2
Herbicide
3
Fungicide
4
Insectcide & Herbicide
5
Insectcide & Fungicide
6
Herbicide & Fungicide
7
All
9
Not stated
Fertilizer Used
Fertilizer Used
Fertilizer Used
Fertilizer Used
Fertilizer Used
Fertilizer Used
1
Yes
2
No
Fertilizer Type
Fertilizer Type
Fertilizer Type
Fertilizer Type
Fertilizer Type
Fertilizer Type
1
Natural
2
Chemical
3
Both
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
Chemical Fertilizer Type
1
Urea
2
DAP
3
Both
9
Not stated
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
Chemical Fertilizer quantity
9999.99
Not stated
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
Natural Fertilizer Type
1
Manure
2
Humese/besebash
3
Both
4
Others
9
Not stated
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
Land use only
100
Single crop
Area Measure - Month
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 - Day
Area Measure - Day
Area Measure - Day
Area Measure - Day
Area Measure - Day
Area Measure - Day
99
Not stated
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Area in Hectare
Area in Hectare
Area in Hectare
Area in Hectare
Area in Hectare
Area in Hectare
Region
Region
Region
Region
Region
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
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
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Crop/Other Land use Code
Crop/Other Land use Code
Crop/Other Land use Code
Crop/Other Land use Code
Crop/Other Land use Code
Crop/Other Land use Code
First Measured Area in SqM
First Measured Area in SqM
First Measured Area in SqM
First Measured Area in SqM
First Measured Area in SqM
First Measured Area in SqM
Second Measured Area in SqM
Second Measured Area in SqM
Second Measured Area in SqM
Second Measured Area in SqM
Second Measured Area in SqM
Second Measured Area in SqM
Land Topography Code
Land Topography Code
Land Topography Code
Land Topography Code
Land Topography Code
Land Topography Code
Weather Condition
Weather Condition
Weather Condition
Weather Condition
Weather Condition
Weather Condition
Time taken to change battery
Time taken to change battery
Time taken to change battery
Time taken to change battery
Time taken to change battery
Time taken to change battery
Time taken to measure the field
Time taken to measure the field
Time taken to measure the field
Time taken to measure the field
Time taken to measure the field
ken to measure the field
Fence
Fence
Fence
Fence
Fence
Fence
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Production in Quintal
Area in Hectare
Area in Hectare
Area in Hectare
Area in Hectare
Area in Hectare
Area in Hectare
Region
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromia
5
Somale
6
Benshangul Gumuz
7
S.N.N.P
12
Gambella
13
Harari
14
Addis Ababa
15
Dire Dawa
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
Head sex
1
Male
2
Female
Holder id
Holder id
Holder id
Holder id
Holder id
Holder id
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Sampling weight
Holder Age
Holder Age
Holder Age
Holder Age
Holder Age
Holder Age
Holder Sex
Holder Sex
Holder Sex
Holder Sex
Holder Sex
Holder Sex
1
Male
2
Female
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
Education (Highest Grade)
1
Illiterate
2
Informal Education
3
Grade 1 completed
4
Grade 2 completed
5
Grade 3 completed
6
Grade 4 completed
7
Grade 5 completed
8
Grade 6 completed
9
Grade 7 completed
10
Grade 8 completed
11
Grade 9 completed
12
Grade 10 completed
13
Grade 11 completed
14
Grade 12 completed
15
Above Grade 12
Household Size
Household Size
Household Size
Household Size
Household Size
Household Size
Holding type
Holding type
Holding type
Holding type
Holding type
Holding type
1
Crop only
2
Livestock only
3
Both
Holder Ratio
Holder Ratio
Holder Ratio
Holder Ratio
Holder Ratio
Holder Ratio
Region
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromia
5
Somale
6
Benshangul Gumuz
7
S.N.N.P
12
Gambella
13
Harari
14
Addis Ababa
15
Dire Dawa
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
Head sex
1
Male
2
Female
Sampling Weight
Sampling Weight
Sampling Weight
Sampling Weight
Sampling Weight
Sampling Weight
Household Size
Household Size
Household Size
Household Size
Household Size
Household Size
Ratio
Ratio
Ratio
Ratio
Ratio
Ratio