Ethiopian Rural Household Survey 1989-2009

Ethiopia, 1989 - 2009

Reference ID

eth-csae-erhs-1989-2009-v1

Producer(s)

International Food Policy Research Institute (IFPRI), Centre for the study of African Economies (CSAE), Department of Economics, Addis Ababa University (AAU)

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Created on

Oct 15, 2012

Last modified

Oct 26, 2015

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Describe your reason - Reason 1 (q19_6a)

Data file: ERHS 1994a_r1p1s9

Overview

Valid: 815

Invalid: 3278

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 32

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Large family size	44	5.4%
2	Low farm productivity/Poor farm technology	43	5.3%
3	Rain failure (Belg;Meher;Meher and Belg)	166	20.4%
4	Crop damage by pests/Natural disaster (flood, wind,...)	45	5.5%
5	Depletion of food stock	24	2.9%
6	Newly formed household (marriage)	9	1.1%
7	Poor soil quality/erosion	9	1.1%
8	Old age/Poor health	48	5.9%
9	Small land holding, landlessness	46	5.6%
10	Lack of oxen, other livestock/farm tools	102	12.5%
11	Lack of assets (money, jewellery, etc...)	7	0.9%
12	No family support (no remittance)	11	1.3%
13	Lack of off-farm employment/income opportunities	17	2.1%
14	Lack of alternative non-agricultural skills	0	0%
15	Lack of seeds (improved/local) and fertilizer	32	3.9%
16	Lack/shortage of household labour	19	2.3%
17	Ownership of oxen, other livestock/farm tools	10	1.2%
18	Sufficient food stock	28	3.4%
19	Expereince from previous drought	7	0.9%
20	Have productive farm labour to assist	5	0.6%
21	Market supply of grain/other food	31	3.8%
22	Involvement in off-farm activities	8	1%
23	Good weather condition	14	1.7%
24	Reduced pressure from local/PA authorities (No AMC quota)	37	4.5%
25	Lack of grazing land	13	1.6%
26	livestock disease	1	0.1%
32	Other	39	4.8%
Sysmiss		3278

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.

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