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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ETH_2013-2014_ESS_V01_EN_M_V01_A_OCS / variable [F87]
agricultural-surveys

Ethiopian Socioeconomic Survey 2013-2014

Ethiopia, 2013 - 2014
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Reference ID
ETH_2013-2014_ESS_v01_EN_M_v01_A_OCS
Producer(s)
Central Statistics Agency of Ethiopia (CSA), Living Standards Measurement Study Integrated Surveys of Agriculture (LSMS-ISA)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 25, 2020
Last modified
Nov 08, 2022
Page views
172059
Downloads
2358
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • sect1a_com_w2
  • sect1b_com_w2
  • sect2_com_w2
  • sect3_com_w2
  • sect4_com_w2
  • sect5_com_w2
  • sect6_com_w2
  • sect7_com_w2
  • sect8_com_w2
  • sect9_com_w2
  • sect10a1_com_w2
  • sect10a2_com_w2
  • sect10b1_com_w2
  • sect10b2_com_w2
  • Pub_ETH_HouseholdGeovars_Y2
  • Pub_ETH_PlotGeovariables_Y2
  • cons_agg_w2
  • ET_local_area_unit_conversion
  • Food_CF_Wave2
  • sect_cover_hh_w2
  • sect1_hh_w2
  • sect2_hh_w2
  • sect3_hh_w2
  • sect4_hh_w2
  • sect5a_hh_w2
  • sect5b_hh_w2
  • sect5c1_hh_w2
  • sect5c2_hh_w2
  • sect5d_hh_w2
  • sect6a_hh_w2
  • sect6b_hh_w2
  • sect7_hh_w2
  • sect8_hh_w2
  • sect9_hh_w2
  • sect10_hh_w2
  • sect11a_hh_w2
  • sect11b_hh_w2
  • sect11c_hh_w2
  • sect12_hh_w2
  • sect13_hh_w2
  • sect14a_hh_w2
  • sect14b_hh_w2
  • sect14c_hh_w2
  • sect_cover_ls_w2
  • sect1_ls_w2
  • sect8a_ls_w2
  • sect8b_ls_w2
  • sect8c_ls_w2
  • sect_cover_ph_w2
  • sect1_ph_w2
  • sect9_ph_w2
  • sect9a_ph_w2
  • sect10_ph_w2
  • sect11_ph_w2
  • sect12_ph_w2
  • sectnr_ph_w2
  • sect_cover_pp_w2
  • sect1_pp_w2
  • sect2_pp_w2
  • sect3_pp_w2
  • sect_3rca_pp_w2
  • sect_3rcb_pp_w2
  • sect4_pp_w2
  • sect5_pp_w2
  • sect7_pp_w2
  • sectnr_pp_w2
  • Crop_CF_Wave2

List up to 3 primary contraints preventing HH members from opening a non-farm en (hh_s11bq19_b)

Data file: sect11c_hh_w2

Overview

Valid: 2976
Invalid: 2286
Type: Discrete
Decimal: 0
Start: 154
End: 156
Width: 3
Range: 0 - 140
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 13
0.4%
1 1
0%
10 1
0%
11 Electricity - Access 57
1.9%
12 Electricity - Quality 11
0.4%
13 Electricity - Cost 9
0.3%
21 Telecom - Access 12
0.4%
22 Telecom - Quality 13
0.4%
23 Telecom - Cost 5
0.2%
31 Water - Access 28
0.9%
32 Water - Quality 8
0.3%
33 Water - Cost 10
0.3%
41 Postal Service - Access 4
0.1%
42 Postal Service - Quality 13
0.4%
43 Postal Service - Cost 27
0.9%
61 Transport Road - Access 120
4%
62 Transport Road - Quality 72
2.4%
63 Transport - Cost 33
1.1%
64 Transport - Facilities to transport goods 90
3%
71 Financial Services - Possibility to borrow from family 314
10.6%
72 Financial Services - Possibility to borrow from formal financial institutions 330
11.1%
73 Financial Services - Interest rates 208
7%
74 Financial Services - Complicated bank loan procedures 30
1%
75 Financial Services - Fear of not being able to pay loan installments 329
11.1%
81 Markets - Access to markets 213
7.2%
82 Markets - Difficulty to obtain information on your product's market 194
6.5%
83 Markets - Low demand for goods and services produced 127
4.3%
85 1
0%
91 Governemet - Corruption 15
0.5%
92 Government - Uncertain economic policy 11
0.4%
93 Government - Restrictive laws and regulations 18
0.6%
101 Safety - Criminality, theft and lawlessness 4
0.1%
102 Safety - Conflicts and social friction 4
0.1%
111 Technology - Lack of training 166
5.6%
112 Technology - Research costs 10
0.3%
113 Technology - Access to computers 0
0%
114 Technology - Access to information and technology 6
0.2%
121 Registration & Permits - Time and cost of registering enterprise 15
0.5%
122 Registration & Permits - Time and cost of obtaining enterprise permit 60
2%
123 Registration & Permits - Complicated enterprise registration and permit regulations 48
1.6%
131 Taxation - High taxes 110
3.7%
132 Taxation - Unofficial levies 8
0.3%
133 Others 30
1%
140 Other (specify) 198
6.7%
Sysmiss 2286
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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