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    Home / Central Data Catalog / LSMS / ETH_2013_ESS_V03_M / variable [F87]
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
495315
Downloads
354830
  • 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 up to 3 primary contraints preventing HH members from opening a non-farm en (hh_s11bq19_c)

Data file: sect11c_hh_w2

Overview

Valid: 1383
Invalid: 3879
Type: Discrete
Decimal: 0
Start: 157
End: 159
Width: 3
Range: 0 - 140
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 15
1.1%
11 Electricity - Access 42
3%
12 Electricity - Quality 5
0.4%
13 Electricity - Cost 6
0.4%
21 Telecom - Access 10
0.7%
22 Telecom - Quality 7
0.5%
23 Telecom - Cost 2
0.1%
31 Water - Access 13
0.9%
32 Water - Quality 1
0.1%
33 Water - Cost 3
0.2%
41 Postal Service - Access 1
0.1%
42 Postal Service - Quality 12
0.9%
43 Postal Service - Cost 10
0.7%
61 Transport Road - Access 50
3.6%
62 Transport Road - Quality 37
2.7%
63 Transport - Cost 19
1.4%
64 Transport - Facilities to transport goods 61
4.4%
71 Financial Services - Possibility to borrow from family 96
6.9%
72 Financial Services - Possibility to borrow from formal financial institutions 87
6.3%
73 Financial Services - Interest rates 96
6.9%
74 Financial Services - Complicated bank loan procedures 15
1.1%
75 Financial Services - Fear of not being able to pay loan installments 196
14.2%
81 Markets - Access to markets 97
7%
82 Markets - Difficulty to obtain information on your product's market 72
5.2%
83 Markets - Low demand for goods and services produced 80
5.8%
91 Governemet - Corruption 10
0.7%
92 Government - Uncertain economic policy 9
0.7%
93 Government - Restrictive laws and regulations 2
0.1%
101 Safety - Criminality, theft and lawlessness 5
0.4%
102 Safety - Conflicts and social friction 4
0.3%
111 Technology - Lack of training 104
7.5%
112 Technology - Research costs 6
0.4%
113 Technology - Access to computers 1
0.1%
114 Technology - Access to information and technology 1
0.1%
121 Registration & Permits - Time and cost of registering enterprise 16
1.2%
122 Registration & Permits - Time and cost of obtaining enterprise permit 29
2.1%
123 Registration & Permits - Complicated enterprise registration and permit regulations 13
0.9%
131 Taxation - High taxes 84
6.1%
132 Taxation - Unofficial levies 7
0.5%
133 Others 6
0.4%
135 1
0.1%
140 Other (specify) 52
3.8%
Sysmiss 3879
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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