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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ETH_2015-2016_ESS-W3_V01_EN_M_V01_A_OCS / variable [F22]
agricultural-surveys

Ethiopian Socio-economic Survey - Wave 3, 2015-2016

Ethiopia, 2015 - 2016
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Reference ID
ETH_2015-2016_ESS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Central Statistical Agency of Ethiopia
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 21, 2020
Last modified
Nov 08, 2022
Page views
174303
Downloads
1932
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Food_CF_Wave3
  • sect_cover_hh_w3
  • sect1_hh_w3
  • sect2_hh_w3
  • sect3_hh_w3
  • sect4_hh_w3
  • sect4b_hh_w3
  • sect5a_hh_w3
  • sect5b_hh_w3
  • sect5c1_hh_w3
  • sect5c2_hh_w3
  • sect5d_hh_w3
  • sect6a_hh_w3
  • sect6b_hh_w3
  • sect7_hh_w3
  • sect8_hh_w3
  • sect9_hh_w3
  • sect10_hh_w3
  • sect11a_hh_w3
  • sect11b_hh_w3
  • sect11c_hh_w3
  • sect12_hh_w3
  • sect13_hh_w3
  • sect14a_hh_w3
  • sect14b_hh_w3
  • sect14c_hh_w3
  • sect_cover_ls_w3
  • sect1_ls_w3
  • sect8_1_ls_w3
  • sect8_2_ls_w3
  • sect8_3_ls_w3
  • sect8_4_ls_w3
  • sect8_5_ls_w3
  • sect8_6_ls_w3
  • sect8_7a_ls_w3
  • sect8_7b_ls_w3
  • sect_cover_pp_w3
  • sect02_com_w3
  • sect10a1_com_w3
  • sect09_com_w3
  • sect07_com_w3
  • sect08_com_w3
  • sect06_com_w3
  • sect05_com_w3
  • sect03_com_w3
  • sect04_com_w3
  • sect01b_com_w3
  • sectnr_ph_w3
  • sect12_ph_w3
  • sect11_ph_w3
  • sect10_ph_w3
  • sect9_ph_w3
  • sect9a_ph_w3
  • sect1_ph_w3
  • sect_cover_ph_w3
  • sect_3rca_pp_w3
  • sect_cover_cc_w3
  • sect_3rcb_pp_w3
  • sectnr_pp_w3
  • sect7_pp_w3
  • sect5_pp_w3
  • sect4_pp_w3
  • sect3_pp_w3
  • sect2_pp_w3
  • sect1_pp_w3
  • sect10a2_com_w3
  • ET_local_area_unit_conversion
  • cons_agg_w3
  • sect01a_com_w3
  • Crop_CF_Wave3
  • ETH_HouseholdGeovars_y3
  • ETH_PlotGeovariables_Y3
  • water_quality_data

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

Data file: sect11c_hh_w3

Overview

Valid: 3205
Invalid: 1742
Minimum: 11
Maximum: 140
Type: Discrete
Decimal: 0
Start: 97
End: 99
Width: 3
Range: 11 - 140
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Electricity - Access 102
3.2%
12 Electricity - Quality 38
1.2%
13 Electricity - Cost 10
0.3%
21 Telecom - Access 18
0.6%
22 Telecom - Quality 22
0.7%
23 Telecom - Cost 9
0.3%
31 Water - Access 55
1.7%
32 Water - Quality 41
1.3%
33 Water - Cost 14
0.4%
41 Postal Service - Access 6
0.2%
42 Postal Service - Quality 21
0.7%
43 Postal Service - Cost 41
1.3%
61 Transport Road - Access 134
4.2%
62 Transport Road - Quality 80
2.5%
63 Transport - Cost 39
1.2%
64 Transport - Facilities to transport goods 60
1.9%
71 Financial Services - Possibility to borrow from family 127
4%
72 Financial Services - Possibility to borrow from formal financial institutions 156
4.9%
73 Financial Services - Interest rates 166
5.2%
74 Financial Services - Complicated bank loan procedures 32
1%
75 Financial Services - Fear of not being able to pay loan installments 345
10.8%
76 Don't know where or how to get a loan 241
7.5%
81 Markets - Access to markets 292
9.1%
82 Markets - Difficulty to obtain information on your product's market 252
7.9%
83 Markets - Low demand for goods and services produced 121
3.8%
91 Governemet - Corruption 70
2.2%
92 Government - Uncertain economic policy 41
1.3%
93 Government - Restrictive laws and regulations 26
0.8%
101 Safety - Criminality, theft and lawlessness 9
0.3%
102 Safety - Conflicts and social friction 7
0.2%
111 Technology - Lack of training 154
4.8%
112 Technology - Research costs 9
0.3%
113 Technology - Access to computers 5
0.2%
114 Technology - Access to information and technology 17
0.5%
121 Registration & Permits - Time and cost of registering enterprise 29
0.9%
122 Registration & Permits - Time and cost of obtaining enterprise permit 49
1.5%
123 Registration & Permits - Complicated enterprise registration and permit regulati 66
2.1%
131 Taxation - High taxes 139
4.3%
132 Taxation - Unofficial levies 26
0.8%
140 Others 136
4.2%
Sysmiss 1742
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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