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    Home / Central Data Catalog / ETH_2015_ESS_V03_M / variable [F22]
central

Socioeconomic Survey 2015-2016, Wave 3

Ethiopia, 2015 - 2016
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Reference ID
ETH_2015_ESS_v03_M
Producer(s)
Central Statistical Agency of Ethiopia
Metadata
DDI/XML JSON
Study website
Created on
Jun 26, 2017
Last modified
Mar 29, 2019
Page views
136700
Downloads
3541
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • 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
  • WQT Data
    without
    processed data

List up to 3 primary contraints preventing HH members from opening a non-farm en (hh_s11bq19_c)

Data file: sect11c_hh_w3

Overview

Valid: 1630
Invalid: 3317
Minimum: 11
Maximum: 140
Type: Discrete
Decimal: 0
Start: 100
End: 102
Width: 3
Range: 11 - 140
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Electricity - Access 74
4.5%
12 Electricity - Quality 34
2.1%
13 Electricity - Cost 13
0.8%
21 Telecom - Access 8
0.5%
22 Telecom - Quality 12
0.7%
23 Telecom - Cost 6
0.4%
31 Water - Access 38
2.3%
32 Water - Quality 16
1%
33 Water - Cost 7
0.4%
41 Postal Service - Access 6
0.4%
42 Postal Service - Quality 15
0.9%
43 Postal Service - Cost 20
1.2%
61 Transport Road - Access 51
3.1%
62 Transport Road - Quality 56
3.4%
63 Transport - Cost 29
1.8%
64 Transport - Facilities to transport goods 42
2.6%
71 Financial Services - Possibility to borrow from family 66
4%
72 Financial Services - Possibility to borrow from formal financial institutions 34
2.1%
73 Financial Services - Interest rates 90
5.5%
74 Financial Services - Complicated bank loan procedures 14
0.9%
75 Financial Services - Fear of not being able to pay loan installments 161
9.9%
76 Don't know where or how to get a loan 105
6.4%
81 Markets - Access to markets 129
7.9%
82 Markets - Difficulty to obtain information on your product's market 77
4.7%
83 Markets - Low demand for goods and services produced 69
4.2%
91 Governemet - Corruption 30
1.8%
92 Government - Uncertain economic policy 22
1.3%
93 Government - Restrictive laws and regulations 23
1.4%
101 Safety - Criminality, theft and lawlessness 4
0.2%
102 Safety - Conflicts and social friction 6
0.4%
111 Technology - Lack of training 106
6.5%
112 Technology - Research costs 1
0.1%
113 Technology - Access to computers 1
0.1%
114 Technology - Access to information and technology 8
0.5%
121 Registration & Permits - Time and cost of registering enterprise 6
0.4%
122 Registration & Permits - Time and cost of obtaining enterprise permit 28
1.7%
123 Registration & Permits - Complicated enterprise registration and permit regulati 33
2%
131 Taxation - High taxes 109
6.7%
132 Taxation - Unofficial levies 25
1.5%
140 Others 56
3.4%
Sysmiss 3317
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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