DDI_ETH_2001_AgSE-AP_v02_M
Central Statistical Agency
International Household Survey Network
2006-07-28
NADA
Version 02: Adopted from "DDI-ETH-CSA-AgSE-AP-2001-v1.1" DDI, that was done by Ethiopian Central Statistical Agency.
Agricultural Sample Enumeration, Area and Production 2001-2002 (1994 E.C)
AgSE-AP 2001-02
ETH_2001_AgSE-AP_v01_M
Central Statistical Authority
NADA
Government of Ethiopia
Data Administrator
Agricultural Census [ag/census]
Version 1.1: Edited and non anonymized dataset, for internal use only.
Ethiopian farming largely produces only enough food for the peasant holder and his family for consumption, leaving little to sell. This inadequate volume of production is ascribed to the tardy progress in the farming methods and scattered pieces of land holdings. Under this traditional sector, agriculture is practiced on public land and most of the produce is mainly for own consumption. The diverse climate of the country and the multiple utilizations of crops have prompted the vast majority of agricultural holders to grow various temporary and permanent crops. Despite the variation in the volume of production, the relative importance and pattern of growth of these crops are largely similar across many of the regions.
There is a general agreement that the performance of an agricultural system should achieve a steady supply of food to the people of a country. But, unless special attention is focused on agriculture, its performance can be impeded by vagaries of nature, population growth and scarcity and fragmentation of land, thus, affecting food supply and posing a challenge to the federal and regional governments. This situation calls for an overhaul of the agricultural system in the country or the regions.
In order to have a flourishing agriculture, which sustains reliable food supply, the federal and regional governments have to formulate and implement farm programs that ensure food security. The preparation, execution, monitoring and assessment of these programs entail statistics on agriculture particularly crop production since it is the prime target that national or regional agricultural policies aim at.
The collection of data on crop production should encompass all crop seasons in the agricultural calendar and farming activities in both rural and urban areas. It should also include the wide range of crops that are grown and embodied in the food security system, which are indispensable for a sustained provision of staple diet and other cash crops like coffee and Chat.
In view of this, crop production data for private peasant holdings for both “Meher” and “Belg” seasons in both rural and urban areas were collected in the census to provide the basis for decision making in the process of implementing timely food security measures and to make policy makers aware of the food situation in the country.
Ethiopia
The 2001-2002 (1994 E.C) Agricultural Sample Enumeration was designed to cover the rural and urban parts of all districts (weredas) in the country on a large-scale sample basis excluding the pastoralist areas of the Afar and Somali regional states.
Household/ Holder/ Crop
Agricultural households
Census/enumeration data [cen]
The scope of Agricultural Sample Enumeration (area and producation module) includes:
- Identification particulars
- Assessment of crop conditions (for "Meher" season)
- Selection of fields for and crop cutting experiment
- Details of crop cutting (for temporary crops only) (excluding vegetables and root crops)
- Details of crop cutting plot preparaion (for vegetables and root crops)
- Crop cutting result (for vegetables and root crops)
- Details of crop-cutting (for permanent crops) (excluding Coffee, Chat and Gesho)
- Details of crop-cutting for Coffee, Chat and "Gesho"
- Crop usage proportions
- Livestock product usage proportions
Central Statistical Authority of Ethiopia
Sampling Frame
The list of enumeration areas for each wereda was compiled from the 1994 Ethiopian Population and Housing Census cartographic work and was used a frame for the selection of the Primary Sampling Units (PSU). The 1994 Population and Housing Census enumeration area maps of the region for the selected sample EA's were updated, and the EA boundaries and descriptions were further clarified to reflect the current physical situation. The sampling frame used for the selection of ultimate sampling units (agricultural households) was a fresh list of households, which was prepared by the enumerator assigned in the sampled EA's using a prescribed listing instruction at the beginning of the launching of the census enumeration.
Sample Design
In order to meet the objectives and requirements of the EASE, a stratified two-stage cluster sample design was used for the selection of ultimate sampling units. Thus, in the regions each wereda was treated as stratum for which major findings of the sample census are reported. The primary sampling units are the enumeration areas and the agricultural households are secondary (ultimate) sampling units. Finally, after the selection of the sample agricultural households, the various census forms were administered to all agricultural holders within the sampled agricultural households.
For the private peasant holdings in the rural areas a fixed number (25) of sample EA's in each wereda and 30 agricultural households in each EA were randomly selected (determined). In urban areas, weredas with urban EA's of less than or equal to 25, all the EA's were covered. However, for weredas with greater than 25 urban EA's, sample size of 25 EA's was selected. In each sampled urban EA, 30 agricultural households were randomly selected for the census. The sampled size determination in each wereda and thereby in each EA was based upon the required precision level of the major estimates and the cost consideration. The pilot survey and the previous year annual agricultural sample survey results were used to determine the required sample sizes per wereda.
Sample Selection of Primary Sampling Units
Within each wereda (stratum) in the region, the selection of EAs was carried out using probability proportional to size systematic sampling. In this case, size being total number of agricultural households in each EA obtained from the listing exercise undertaken in the 1994 Ethiopian Population and Housing Census of the region.
Listing of Households and Selection of Agricultural Households
In each sampled enumeration area of the region, a complete and fresh listing of households was carried out by canvassing the households in the EA. After a complete listing of the households and screening of the agricultural households during the listing operation in the selected EA, the agricultural households were serially numbered. From this list, a total of 30 agricultural households were selected systematically using a random start from the pre-assigned column table of random numbers. The sampling interval for each EA was determined by dividing the total number of agricultural households by 30. For crop cutting exercise purposes (rural domain) a total of 20 agricultural households were randomly selected from the 30 sampled agricultural households. The systematical random sampling technique was employed in this case, because its application is simple and flexible, and it can easily yield a proportionate sample.
Face-to-face [f2f]
Forms and equipment are instrumental in gathering information from various sources. The census forms are the vehicle and basic document for collecting the desired data. These include general-purpose forms covering farm management practices, demographic and economic characteristics, area, and production of both temporary and permanent crops; livestock, poultry and beehives ... etc. These forms are formulated for recording data generated through interview as well as objective measurements. Although the planning, organization and execution of the census were the responsibilities that rested within the CSA, development of the census forms was a tedious task that involved the formation of a working group composed of members of government and non-governmental organizations who are major users of agricultural data. Members of the working group were given the opportunity to identify their data requirements, define the needs of others and determine the specific questions that the forms should contain. The working group included the staff of the organizations that are involved in agricultural planning, collection of agricultural statistics and the use of data within the agricultural sector. The working group designed different forms for the various data items on crop area, production, and other variables of interest to meet the needs of current data users and also considered the future expectations. Attempt was made to make the content of the forms of acceptable length by distributing the variables to be collected in the different census forms.
The rural census questionnaires/forms included:
- Forms 94/0 and 94/1 that are used to record all households in the enumeration area, identify the agricultural households and select the units to be covered by the census.
- Form 94/2 is developed to list all the members of the sampled agricultural households and record the demographic and economic characteristics of each of the members.
- Forms 94/3A, 94/3B, 94/3C and 94/3D are prepared to enumerate crop data through interview and objective measurement.
- Form 94/5 is designed to record crop area data via the physical or objective measurement of crop fields.
- Form 94/6 is used to list all the fields under crop and select a crop field for each type of crop randomly for crop cutting exercise.
- Forms 94/7A, 94/7B, and 94/7C are developed for recording yield data on cereals, oil seeds, pulses, vegetables root crops and permanent crops by weighing their yields obtained from sub-plots and/or trees selected for crop-cuttings.
- Form 94/8 is prepared to enumerate livestock, poultry and beehives data by type, age, sex and purpose including products through interview (subjective approach).
- Forms 94/9, 94/10 and 94/11 are used to collect data on crop and livestock product usage; miscellaneous items and farm tools, implements, draught animals and storage facilities, in that order, by interviewing the sample holders.
“Belg” season questionnaires identified as:
- Form 94/12A and 94/12B that are used to record data on farm management practices of the “Belg” season.
- Form 94/4 was the questionnaire used for collecting data on crop production forecast for 2001-2002 and the data collected using this form was published in December 2001 subjectively, while 94/12C is for recording “Belg” season crop area through objective measurement and volume of production through interview approach.
On the other hand, the census questionnaires/forms used in the urban areas include:
- Form U-94/1 which used to record all households in the EA, identify the agricultural households and select the units to be covered by the census.
- Form U-94/2 is developed to list all the members of the sampled agricultural household and record the demographic and economic characteristics of each of the members.
- From U-94/3 is prepared to enumerate crop data through interview method.
- Form U-94/4 is prepared to enumerate livestock, poultry and beehives data by type, sex, age and purpose including products through interview (subjective approach).
- Form U-94/5 is used to collect data on crop and livestock usage.
Editing, Coding and Verification:
In the 2001-2002 Ethiopian Agricultural Sample Enumeration (EASE), the filled-in forms that were retrieved from 47 Branch Statistical Offices were primarily received and systematically registered at the documentation unit of the CSA head quarters in Addis Ababa. Before launching the actual editing and coding activities, the Natural Resources and Agricultural Statistics Department staff gave adequate training to the 157 editors and coders. These editors and coders carried out the manual editing, coding and verification of the filled-in EASE questionnaires in two shifts. At the outset, the editing and coding activities for the filled-in forms on area and agricultural practices took place; this was followed up by the editing and coding of the forms on the production of temporary crops (cereals, pulses, oil seeds, vegetables and root crops), livestock, farm implements, permanent crops, “Belg” and miscellaneous questionnaires region by region. For the filled-in forms on area and agricultural practices, verification was carried out on 100% basis for the first five weeks from the launching of the activity and then considering the quality performance of editor-coders the activity was dropped to 66% of the forms gradually. On the other hand, the verification activity has been carried out on 100% basis for the filled-in forms on production of the temporary and permanent crops, livestock, farm implements and all other completed forms. For the total country, the editing, coding and verification of the filled-in forms in general took about 330.6 working days. That is, the editing, coding and verification of the filled-in forms for area, agricultural practice, the production of the temporary and permanent crops, and livestock took about 198.5 working days, while that of the filled-in forms on farm implements, demographic characteristics, Belg season and the urban forms took around 132.1 working days.
Data Entry, Cleaning and Tabulation:
About 144 data encoders were assigned to undertake the data entry activity of 2001/02 EASE and it has been carried out on two-shift basis. Before the starting of the data entry operation data encoders were trained for about 5 days using computer programs developed by the Data Processing Department staff. The Programmers prepared the data entry programs using CENTRY, which is a data entry module of IMPS (Integrated Microcomputer Processing System). The data entry exercise has been carried out using 76 personal computers (PC's). Like that of the manual editing and coding activity, the filled-in forms on area and agricultural practices were entered first and this was followed by entry of the filled-in forms on the production of temporary crops, livestock, farm implements, permanent crops, “Belg” and miscellaneous questionnaires region by region till all the census data entry operations are completed. In order to ensure the quality of the data entry work, verification exercise was carried out. The entry of the filled-in forms on area and agricultural practices were verified on 100 % basis. Then the verification exercise was dropped to 66 % from the 6th week of the launching of the operation and was further reduced to 50% from the 10th week onwards by observing and assessing the magnitude of the percentage of errors. Later on verification process was carried out on 100% basis for the filled-in forms on the production of temporary and permanent crops, livestock, farm implements and all other completed forms. The verification activity was carried out through the process of re-entering the data. For the total country, the whole data entry process of the filled-in forms on area, agricultural practice, the production of the temporary and permanent crops, and livestock took around 253.1 working days, while that of the filled-in forms on farm implements, demographic characteristics, Belg season and the urban forms took about 257.9 working days. Data entered into the computer needs to be checked for completeness, consistency and validity. For this purpose computer edit programs were prepared by programmers using CONCOR, which is the editing module of IMPS. Using print-outs from these programs and referring to the filled-in census forms, corrections were made by nine trained manual data cleaning technicians. Moreover, nine other data-cleaning computer operators were involved in making the actual corrections of the data on the computer. Additionally, an intermediate set of instructions or programs were made available and applied on the data to prepare information suitable for tabulation. These programs were prepared using CSPro and IMPS software. Like IMPS Software, CSPro is used as a tool for entering, editing and tabulating data. CSA used the CSPro software for data editing and calculation of CVs. Data made ready for tabulation through the process of cleaning and intermediate programs was finally used to generate the required tables. This was done using tabulation programs developed by the senior programmers of the Data processing Department. The CENTS software, a tabulation component of IMPS, was used in producing the 2001-2002 EASE results.
Estimated procedure of parameters of interest like total, yield and ratio and their sampling errors is presented in Appendix I of the reports which are attached with this metadata. Standard errors and coefficients of variations of estimates for selected variables are also given as an annex at the end of each report.
Ethiopia Central Statistical Agency
The following statement must be used as citation:
"Central Statistical Authority of Ethiopia (CSA). Agricultural Sample Enumeration (AgSE 2001-2002) "
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 (http://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.
National_Field_Information_nacr50
0
52
National_Holder_information_nacr02
0
17
National_Household_member_Information_nacr01
This dataset collected at holder level and contains basic social and economic characteristics of the household for rural area.
0
24
Household id
Household id
Household id
Household id
Household id
Household id
Region
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromiya
5
Somalie
6
Benshangul
7
SNNP
12
Gambela
13
Harari
14
Addis ababa
15
Dire dawa
Zone
Zone
Zone
Zone
Zone
Zone
District (wereda)
District (wereda)
District (wereda)
District (wereda)
District (wereda)
District (wereda)
Town
Town
Town
Town
Town
Town
8
Rural
Keftegna
Keftegna
Keftegna
Keftegna
Keftegna
Keftegna
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 number
Household number
Household number
Household number
Household number
Household number
Holder number
Holder number
Holder number
Holder number
Holder number
Holder number
Parcel number
Parcel number
Parcel number
Parcel number
Parcel number
Parcel number
Field number
Field number
Field number
Field number
Field number
Field number
Field weight
Field weight
Field weight
Field weight
Field weight
Field weight
Field rate
Field rate
Field rate
Field rate
Field rate
Field rate
Season
Season
Season
Season
Season
Season
1
Main ("Meher") season
2
"Belg" season
Field part
Field part
Field part
Field part
Field part
Field part
1
1
2
2
3
3
Crop
Crop
Crop
Crop
Crop
Name of crop or crop code
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
19
Cactus "Beles"
20
"Ensosela"
23
Linseed
24
Ground nuts
25
"Neug"
26
Rapeseed
27
Sesame
28
Sunflower
31
Black Cumin "Tikur Azmud"
32
"Kundo Berbera"
33
Cardamon "Korerima"
34
Chilies "Mitmita"
35
"Kerefa"
36
Fenugreek
37
Ginger
38
Red Peppers
39
Turmeric "Erd"
40
White Cumin
42
Banana
43
Grape
44
Lemond
45
"Mendarin"
46
Mangoes
47
Oranges
48
Papaya
49
Pineapples
50
"Tirengo"
51
Beet root
52
Cabbage
53
Carrot
54
"Abeba Gomen"
55
Garlic
56
Kale
57
Lettuce
58
Onion
59
Green Peppers
60
Potato
61
"Duba"
62
Sweet Potato
63
Tomatoes
64
"Godere"
65
Guava " Zeytun"
66
"Koke"
69
Spinach
70
"Fosoliya" (Fagoli)
71
Chat
72
Coffee
73
Cotton
74
"Enset"
75
Hops 'Gesho'
76
Sugar cane
77
Other stimulant crops
78
Tobacco
79
Coriander "Denbilal"
80
Sacred Basil "Beso bila"
81
"Tenadam"
83
"Kerbush"/ "Habhab"
84
Avocado
85
Grazing land
86
Fallow Land
89
Wood Land
98
Other root crops
99
Other land (water well,"awdema","gotera")
113
"Enjori"
114
Other permanents
115
Other fruit crops
116
"Timizmez kemem"
117
Other spices
118
Other pulses
119
Other oil seeds
120
Other cereals
121
Other cash crops
123
Other vegetables
999
Others not specified
Recode land use
Recode land use
Recode land use
Recode land use
Recode land use
Recode land use
1
Temporary crop
2
Permanent crop
3
Grazing land
4
Fallow land
5
Wood land
6
Other land
Type of holding
Type of holding
Type of holding
Type of holding
Type of holding
Type of holding
1
Private
2
Rented/contract
3
Other
9
Not stated
Field included in the extention package program
Field included in the extention package program
Field included in the extention package program
Field included in the extention package program
Field included in the extention package program
Have the field been included in the extension package program?
1
Yes
2
No
9
Not stated
Have the field been included in the extension package program Yes = 1 No = 2
Number of trees
Number of trees
Number of trees
Number of trees
Number of trees
Total number of trees in the field (Excluding coffee,Chat, Pineapple, Sugar-cane)
Total Number of Trees in the Field (Excluding Coffe,Chat,Pineapple,Sugar-cane)
Number of trees of bearing age
Number of trees of bearing age
Number of trees of bearing age
Number of trees of bearing age
Number of trees of bearing age
Total number of trees of fruit bearing age (Excluding coffee,Chat, Pineapple, Sugar-cane)
Number of trees of Fruit Bearing Age (Excluding Coffe,Chat,Pineapple,Sugar-cane)
Irrigation used
Irrigation used
Irrigation used
Irrigation used
Irrigation used
Did you apply irrigation?
1
Yes
2
No
9
Not stated
Did you apply Irrigation Yes - 1 No - 2
Seed type /variety of seeds used
Seed type /variety of seeds used
Seed type /variety of seeds used
Seed type /variety of seeds used
Seed type /variety of seeds used
Seed type /variety of seeds used
1
Improved
2
Non-improved
9
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
Weight of improved seed
Weight of improved seed
Weight of improved seed
Weight of improved seed
Weight of improved seed
Weight of improved seed
Improved seed cost
Improved seed cost
Improved seed cost
Improved seed cost
Improved seed cost
Improved seed cost
Crop damaged
Crop damaged
Crop damaged
Crop damaged
Crop damaged
Was the crop damaged?
1
Yes
2
No
9
Not stated
Damage reason
Damage reason
Damage reason
Damage reason
Damage reason
If "Yes" in "Was the crop damaged?"
What was the major cause 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
99
Not stated
If yes, what was the major cause of damage
Damage percent
Damage percent
Damage percent
Damage percent
Damage percent
Percentage of damage
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100
Any measure taken prevent damage
Any measure taken prevent damage
Any measure taken prevent damage
Any measure taken prevent damage
Any measure taken prevent damage
Any control/prevention measure takes for crop damage
1
Yes
2
No
9
Not stated
Type of damage prevention
Type of damage prevention
Type of damage prevention
Type of damage prevention
Type of damage prevention
Type of damege prevantion
1
Chemical
2
Non-chemical
3
Both
9
Not stated
Chemical used
Chemical used
Chemical used
Chemical used
Chemical used
If "Chemical" in "Type of damege prevantion"
Type of chemical damaged prevention 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
Did you use fertilizer?
1
Yes
2
No
9
Not stated
Did you use Fertilizer Yes - 1 No - 2
Fertilizer type
Fertilizer type
Fertilizer type
Fertilizer type
Fertilizer type
If "Yes" in "Did you use fertilizer?"
What type of fertilier used?
1
Natural
2
Chemical
3
Both
9
Not stated
If yes in column 7 Type of fertilizer Natural - 1 Chemical - 2 Both - 3
Reason for not using chemical fertilizer
Reason for not using chemical fertilizer
Reason for not using chemical fertilizer
Reason for not using chemical fertilizer
Reason for not using chemical fertilizer
Reason for not using chemical fertilizer
1
Not aware
2
Too expensive
3
No money
4
Not available
5
No credit
6
Not good
7
Others
9
Not stated
Chemical fertilizer type
Chemical fertilizer type
Chemical fertilizer type
Chemical fertilizer type
Chemical fertilizer type
If chemical (commercial) fertilizer used
1
Urea
2
Dap
3
Both
9
Not stated
Chemical fertilizer amount
Chemical fertilizer amount
Chemical fertilizer amount
Chemical fertilizer amount
Chemical fertilizer amount
Quantity of chemical fertilizer in kg
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
Compost
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
Land use only
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
Single crop
999
999
Area measure - day
Area measure - day
Area measure - day
Area measure - day
Area measure - day
The field or other land use date of measurement - date
Area measure - month
Area measure - month
Area measure - month
Area measure - month
Area measure - month
The field or other land use date of measurement - 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
Local area measurement unit
Local area measurement unit
Local area measurement unit
Local area measurement unit
Local area measurement unit
Local area measurement unit
Local area amount
Local area amount
Local area amount
Local area amount
Local area amount
Local area amount
Reason if area measurment was not conducted
Reason if area measurment was not conducted
Reason if area measurment was not conducted
Reason if area measurment was not conducted
Reason if area measurment was not conducted
Reason if area Measurment not conducted
1
Not in farmers' association
2
Can't read bearing
3
Holder refused
4
Others
5
Measured
99
Not stated
Enumerator area (in SQ M)
Enumerator area (in SQ M)
Enumerator area (in SQ M)
Enumerator area (in SQ M)
Enumerator area (in SQ M)
Enumerator area (in SQ M)
Computer computed area (in SQ M)
Computer computed area (in SQ M)
Computer computed area (in SQ M)
Computer computed area (in SQ M)
Computer computed area (in SQ M)
Computer computed area (in SQ M)
Area (in Hectars)
Area (in Hectars)
Area (in Hectars)
Area (in Hectars)
Area (in Hectars)
Area (in Hectars)
Local production measurement unit
Local production measurement unit
Local production measurement unit
Local production measurement unit
Local production measurement unit
Local production measurement 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
Dry weight production (in KG)
Dry weight production (in KG)
Dry weight production (in KG)
Dry weight production (in KG)
Dry weight production (in KG)
Dry weight production (in KG)
new prod
new prod
new prod
new prod
new prod
Household id
Household id
Household id
Household id
Household id
Household id
Region
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromiya
5
Somalie
6
Benshangul
7
SNNP
12
Gambela
13
Harari
14
Addis ababa
15
Dire dawa
Zone
Zone
Zone
Zone
Zone
Zone
District
District
District
District
District
District (wereda)
Town
Town
Town
Town
Town
Town
8
Rural
Keftegna
Keftegna
Keftegna
Keftegna
Keftegna
Keftegna
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 number
Household number
Household number
Household number
Household number
Household number
Holder number
Holder number
Holder number
Holder number
Holder number
Holder number
Holder weight
Holder weight
Holder weight
Holder weight
Holder weight
Holder weight
Holder ratio
Holder ratio
Holder ratio
Holder ratio
Holder ratio
Holder ratio
Type of holding
Type of holding
Type of holding
Type of holding
Type of holding
Type of holding
1
Crop only
2
Livestock only
3
Crop & livestock
9
Not stated
Holder age
Holder age
Holder age
Holder age
Holder age
Holder age
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
Holder sex
Holder sex
Holder sex
Holder sex
Holder sex
Holder sex
1
Male
2
Female
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
1
Illiterate
2
No formal education
3
Grade 1
4
Grade 2
5
Grade 3
6
Grade 4
7
Grade 5
8
Grade 6
9
Grade 7
10
Grade 8
11
Grade 9
12
Grade 10
13
Grade 11
14
Grade 12
15
More than grade 12
99
Not stated
Household size
Household size
Household size
Household size
Household size
Household Size
1
1
2
2
Household id
Household id
Household id
Household id
Household id
Household id
Region
Region
Region
Region
Region
Region
1
Tigray
2
Afar
3
Amhara
4
Oromiya
5
Somalie
6
Benshangul
7
SNNP
12
Gambela
13
Harari
14
Addis ababa
15
Dire dawa
Zone
Zone
Zone
Zone
Zone
Zone
District
District
District
District
District
District (wereda)
Town
Town
Town
Town
Town
Town
Kefetenga
Kefetenga
Kefetenga
Kefetenga
Kefetenga
Keftegna
Farmers association /kebele
Farmers association /kebele
Farmers association /kebele
Farmers association /kebele
Farmers association /kebele
Farmers association
Enumeration area
Enumeration area
Enumeration area
Enumeration area
Enumeration area
Enumeration area
Household number
Household number
Household number
Household number
Household number
Household number
Person weight
Person weight
Person weight
Person weight
Person weight
Person weight
Person ratio
Person ratio
Person ratio
Person ratio
Person ratio
Person ratio
Person serial number
Person serial number
Person serial number
Person serial number
Person serial number
Person serial number
For all members of agricultural household
Holder member of the household
Holder member of the household
Holder member of the household
Holder member of the household
Holder member of the household
Is a holder member of the household?
For all members of agricultural household
1
Yes
2
No
9
Not stated
Holder number
Holder number
Holder number
Holder number
Holder number
If code 1 in column 3
Holder number
For all members of agricultural household
Type of holding for the holder
Type of holding for the holder
Type of holding for the holder
Type of holding for the holder
Type of holding for the holder
If code 1 in column 3
Type of holding for the holder
For all members of agricultural household
1
Crop only
2
Livestock only
3
Crop & livestock
9
Not stated
Holder sex
Holder sex
Holder sex
Holder sex
Holder sex
Holder sex
For all members of agricultural household
1
Male
2
Female
9
Not stated
Relation to the head of the household
Relation to the head of the household
Relation to the head of the household
Relation to the head of the household
Relation to the head of the household
Relation to the head of the household
For all members of agricultural household
1
Head
2
Spouse
3
Son/ daughter of head & spouse
4
Son/ daughter of head
5
Son/ daughter of spouse
6
Mother/father of head/ spouse
7
Sister/ brother of head/spouse
8
Other relatives
9
Non relatives
99
Not stated
Holder age
Holder age
Holder age
Holder age
Holder age
Holder age
For all members of agricultural household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
In completed years
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Educational attainment (highest grade completed)
Education status of holder
For all members age 5 years and above
1
Illiterate
2
No formal education
3
Grade 1
4
Grade 2
5
Grade 3
6
Grade 4
7
Grade 5
8
Grade 6
9
Grade 7
10
Grade 8
11
Grade 9
12
Grade 10
13
Grade 11
14
Grade 12
15
More than grade 12
99
Not stated
Marital status
Marital status
Marital status
Marital status
Marital status
Marital status
For all members age 10 years and above
1
Never married
2
Married
3
Divorced
4
Widowed
9
Not stated
Economically active
Economically active
Economically active
Economically active
Economically active
Were you engaged in economic activity during the last 12 months?
For all members age 10 years and above
1
Yes
2
No
9
Not stated
Reason for not active
Reason for not active
Reason for not active
Reason for not active
Reason for not active
If "No" in column 11
If not engaged in economic activity, what was the main reason?
For all members age 10 years and above
1
Student
2
HH activities/ Home maker
3
Disabled/ Handicap
4
Retired/ Old age/Penssion
5
Other
Main activity
Main activity
Main activity
Main activity
Main activity
If "Yes" in column 11
If engaged in economic activity, what was the major activity?
For all members age 10 years and above
1
Fully agriculture
2
Partly agriculture
3
Not agriculture
9
Not stated
Employment status
Employment status
Employment status
Employment status
Employment status
If in column 13 is code 1 or 2
Employment status
For all members age 10 years and above
1
Employer
2
Own account worker
3
Employee
4
Unpaid worker
5
Other