Socioeconomic Survey 2015-2016, Wave 3
Ethiopia, 2015 - 2016
Get Microdata
Reference ID
ETH_2015_ESS_v03_M
Producer(s)
Central Statistical Agency of Ethiopia
Metadata
Created on
Feb 16, 2017
Last modified
Apr 21, 2020
Page views
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- 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_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.