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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ETH_2015-2016_ESS-W3_V01_EN_M_V01_A_OCS / variable [F21]
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
168426
Downloads
1913
  • 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 3 most important constraints to non-farm business operations and growth? (1 (hh_s11bq16_a)

Data file: sect11b_hh_w3

Overview

Valid: 1770
Invalid: 3886
Minimum: 11
Maximum: 140
Type: Discrete
Decimal: 0
Start: 235
End: 237
Width: 3
Range: 11 - 140
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Electricity - Access 34
1.9%
12 Electricity - Quality 45
2.5%
13 Electricity - Cost 0
0%
18 1
0.1%
21 Telecom - Access 0
0%
22 Telecom - Quality 3
0.2%
23 Telecom - Cost 5
0.3%
31 Water - Access 25
1.4%
32 Water - Quality 14
0.8%
33 Water - Cost 1
0.1%
41 Postal Service - Access 1
0.1%
42 Postal Service - Quality 0
0%
43 Postal Service - Cost 7
0.4%
61 Transport Road - Access 31
1.8%
62 Transport Road - Quality 17
1%
63 Transport - Cost 17
1%
64 Transport - Facilities to transport goods 26
1.5%
71 Financial Services - Possibility to borrow from family 36
2%
72 Financial Services - Possibility to borrow from formal financial institutions 25
1.4%
73 Financial Services - Interest rates 12
0.7%
74 Financial Services - Complicated bank loan procedures 0
0%
75 Financial Services - Fear of not being able to pay loan installments 23
1.3%
76 Don't know where or how to get a loan 48
2.7%
81 Markets - Access to markets 555
31.4%
82 Markets - Difficulty to obtain information on your product's market 147
8.3%
83 Markets - Low demand for goods and services produced 225
12.7%
91 Governemet - Corruption 19
1.1%
92 Government - Uncertain economic policy 19
1.1%
93 Government - Restrictive laws and regulations 10
0.6%
101 Safety - Criminality, theft and lawlessness 4
0.2%
102 Safety - Conflicts and social friction 9
0.5%
111 Technology - Lack of training 49
2.8%
112 Technology - Research costs 1
0.1%
113 Technology - Access to computers 2
0.1%
114 Technology - Access to information and technology 3
0.2%
121 Registration & Permits - Time and cost of registering enterprise 7
0.4%
122 Registration & Permits - Time and cost of obtaining enterprise permit 11
0.6%
123 Registration & Permits - Complicated enterprise registration and permit regulati 12
0.7%
131 Taxation - High taxes 80
4.5%
132 Taxation - Unofficial levies 11
0.6%
140 Others 235
13.3%
Sysmiss 3886
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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