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    Home / Central Data Catalog / LSMS / ETH_2013_ESS_V03_M / variable [F86]
lsms

Socioeconomic Survey 2013-2014

Ethiopia, 2013 - 2014
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Reference ID
ETH_2013_ESS_v03_M
DOI
https://doi.org/10.48529/mccp-y123
Producer(s)
Central Statistics Agency of Ethiopia (CSA), Living Standards Measurement Study Integrated Surveys of Agriculture (LSMS-ISA)
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 21, 2015
Last modified
Jan 30, 2020
Page views
1000192
Downloads
393148
  • Study Description
  • Data Description
  • Documentation
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  • 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 3 most important constraints to non-farm business operations and growth? (1 (hh_s11bq16_a)

Data file: sect11b_hh_w2

Overview

Valid: 1763
Invalid: 529
Type: Discrete
Decimal: 0
Start: 299
End: 301
Width: 3
Range: 0 - 148
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 3
0.2%
1 4
0.2%
2 1
0.1%
11 Electricity - Access 30
1.7%
12 Electricity - Quality 22
1.2%
13 Electricity - Cost 8
0.5%
18 2
0.1%
21 Telecom - Access 5
0.3%
22 Telecom - Quality 9
0.5%
23 Telecom - Cost 0
0%
31 Water - Access 21
1.2%
32 Water - Quality 14
0.8%
33 Water - Cost 1
0.1%
41 Postal Service - Access 3
0.2%
42 Postal Service - Quality 4
0.2%
43 Postal Service - Cost 4
0.2%
51 1
0.1%
61 Transport Road - Access 40
2.3%
62 Transport Road - Quality 18
1%
63 Transport - Cost 17
1%
64 Transport - Facilities to transport goods 36
2%
71 Financial Services - Possibility to borrow from family 74
4.2%
72 Financial Services - Possibility to borrow from formal financial institutions 59
3.3%
73 Financial Services - Interest rates 27
1.5%
74 Financial Services - Complicated bank loan procedures 0
0%
75 Financial Services - Fear of not being able to pay loan installments 31
1.8%
81 Markets - Access to markets 475
26.9%
82 Markets - Difficulty to obtain information on your product's market 132
7.5%
83 Markets - Low demand for goods and services produced 240
13.6%
91 Governemet - Corruption 6
0.3%
92 Government - Uncertain economic policy 13
0.7%
93 Government - Restrictive laws and regulations 15
0.9%
101 Safety - Criminality, theft and lawlessness 7
0.4%
102 Safety - Conflicts and social friction 7
0.4%
104 1
0.1%
111 Technology - Lack of training 40
2.3%
112 Technology - Research costs 2
0.1%
113 Technology - Access to computers 5
0.3%
114 Technology - Access to information and technology 0
0%
121 Registration & Permits - Time and cost of registering enterprise 5
0.3%
122 Registration & Permits - Time and cost of obtaining enterprise permit 14
0.8%
123 Registration & Permits - Complicated enterprise registration and permit regulations 5
0.3%
131 Taxation - High taxes 80
4.5%
132 Taxation - Unofficial levies 13
0.7%
133 22
1.2%
140 Other (specify) 195
11.1%
141 51
2.9%
148 1
0.1%
Sysmiss 529
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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