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)

Metadata

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Created on

Oct 15, 2012

Last modified

Oct 26, 2015

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Describe your reason - Reason 2 (q19_6b)

Data file: ERHS 1994a_r1p1s9

Overview

Valid: 384

Invalid: 3709

Type: Discrete

Decimal: 0

Width: 2

Range: 1 - 32

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Large family size	9	2.3%
2	Low farm productivity/Poor farm technology	20	5.2%
3	Rain failure (Belg;Meher;Meher and Belg)	32	8.3%
4	Crop damage by pests/Natural disaster (flood, wind,...)	52	13.5%
5	Depletion of food stock	21	5.5%
6	Newly formed household (marriage)	3	0.8%
7	Poor soil quality/erosion	7	1.8%
8	Old age/Poor health	19	4.9%
9	Small land holding, landlessness	24	6.3%
10	Lack of oxen, other livestock/farm tools	67	17.4%
11	Lack of assets (money, jewellery, etc...)	15	3.9%
12	No family support (no remittance)	11	2.9%
13	Lack of off-farm employment/income opportunities	11	2.9%
14	Lack of alternative non-agricultural skills	0	0%
15	Lack of seeds (improved/local) and fertilizer	26	6.8%
16	Lack/shortage of household labour	12	3.1%
17	Ownership of oxen, other livestock/farm tools	6	1.6%
18	Sufficient food stock	5	1.3%
19	Expereince from previous drought	0	0%
20	Have productive farm labour to assist	2	0.5%
21	Market supply of grain/other food	11	2.9%
22	Involvement in off-farm activities	2	0.5%
23	Good weather condition	7	1.8%
24	Reduced pressure from local/PA authorities (No AMC quota)	3	0.8%
25		3	0.8%
26		1	0.3%
27		5	1.3%
30		1	0.3%
32	Other	9	2.3%
Sysmiss		3709

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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