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    Home / Central Data Catalog / ETH_2017_SPS_V01_M / variable [F24]
central

Skills Profile Survey 2017, A Refugee and Host Community Survey

Ethiopia, 2017
Get Microdata
Reference ID
ETH_2017_SPS_v01_M
Producer(s)
Utz Johann Pape (IBRD - World Bank)
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
33043
Downloads
308
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • CleanInput -
    assets
  • CleanInput -
    exchange_rate
  • CleanInput -
    food
  • CleanInput -
    food_quant_pc
  • CleanInput - hh
  • CleanInput -
    hhm
  • CleanInput -
    hhm_separated
  • CleanInput -
    livestock
  • CleanInput -
    nfood
  • CleanInput -
    nfood_constraints
  • CleanInput -
    nfood_constraints_pc
  • CleanOutput -
    assets
  • CleanOutput -
    food
  • CleanOutput -
    hhm
  • CleanOutput -
    hhq
  • CleanOutput -
    mi-extract
  • CleanOutput -
    nonfood

B.107 If %rostertitle% had the opportunity to take up a full time salaried employment away from this location but within Ethiopia, how much would %rostertitle% ...? (B_107_emp_asp_wage_noh)

Data file: CleanOutput - hhm

Overview

Valid: 9680
Invalid: 17796
Type: Discrete
Decimal: 0
Start: 1807
End: 1811
Width: 5
Range: 0 - 70000
Format: Numeric

Questions and instructions

Literal question
If %rostertitle% had the opportunity to take up a full time salaried employment away from this location but within Ethiopia, how much would %rostertitle% need to earn per month as a take-home salary to accept the job offer? Assume Housing is NOT provided. Please give the answer in Ethiopian Birr.
Categories
Value Category Cases
10 1
0%
50 4
0%
100 15
0.2%
140 1
0%
150 8
0.1%
200 1
0%
300 4
0%
330 1
0%
350 1
0%
400 4
0%
450 5
0.1%
500 22
0.2%
550 3
0%
600 21
0.2%
650 6
0.1%
700 60
0.6%
750 12
0.1%
800 116
1.2%
850 15
0.2%
870 1
0%
900 101
1%
950 21
0.2%
980 1
0%
1000 419
4.3%
1100 59
0.6%
1200 331
3.4%
1250 3
0%
1300 164
1.7%
1350 1
0%
1400 76
0.8%
1450 2
0%
1500 732
7.6%
1550 2
0%
1600 94
1%
1650 4
0%
1700 69
0.7%
1800 144
1.5%
1900 27
0.3%
1990 1
0%
2000 803
8.3%
2100 26
0.3%
2200 38
0.4%
2300 39
0.4%
2400 22
0.2%
2450 1
0%
2500 677
7%
2600 26
0.3%
2700 35
0.4%
2750 1
0%
2800 40
0.4%
2900 5
0.1%
3000 845
8.7%
3050 1
0%
3100 10
0.1%
3150 1
0%
3200 22
0.2%
3250 1
0%
3300 4
0%
3400 10
0.1%
3450 1
0%
3500 535
5.5%
3600 16
0.2%
3700 18
0.2%
3800 30
0.3%
3900 8
0.1%
4000 685
7.1%
4100 5
0.1%
4200 14
0.1%
4300 5
0.1%
4400 4
0%
4500 241
2.5%
4550 1
0%
4600 6
0.1%
4700 9
0.1%
4800 28
0.3%
4900 6
0.1%
5000 688
7.1%
5100 5
0.1%
5200 6
0.1%
5280 1
0%
5300 3
0%
5400 3
0%
5500 118
1.2%
5600 3
0%
5700 6
0.1%
5800 6
0.1%
5880 1
0%
5900 2
0%
6000 582
6%
6100 2
0%
6200 4
0%
6500 96
1%
6580 1
0%
6700 2
0%
6800 3
0%
7000 325
3.4%
7200 2
0%
7300 1
0%
7400 2
0%
7500 52
0.5%
7600 1
0%
7800 5
0.1%
7900 1
0%
8000 274
2.8%
8100 2
0%
8500 20
0.2%
8700 1
0%
8900 1
0%
9000 67
0.7%
9500 7
0.1%
9800 1
0%
10000 227
2.3%
10100 2
0%
10400 1
0%
10500 9
0.1%
11000 30
0.3%
11100 1
0%
11200 1
0%
11500 1
0%
11800 1
0%
12000 94
1%
12500 3
0%
12800 1
0%
13000 17
0.2%
14000 3
0%
15000 109
1.1%
15500 3
0%
16000 6
0.1%
17000 7
0.1%
18000 8
0.1%
20000 47
0.5%
20500 2
0%
22000 3
0%
23000 3
0%
25000 15
0.2%
26000 2
0%
30000 11
0.1%
35000 3
0%
40000 1
0%
40500 1
0%
50000 2
0%
70000 1
0%
Sysmiss 17796
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.
Interviewer instructions
Please encourage the respondent to provide their best estimate.
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